OSOM TrendHow to Use the OSOM Trend Indicator
The OSOM Trend indicator is designed for use on TradingView charts. It provides trend identification, entry/exit signals, breakout detection, volume analysis, and market state insights. Below is a step-by-step guide to setting it up and using it effectively.
1. Adding the Indicator to Your Chart
Open TradingView (tradingview.com) and load a chart for your desired asset (e.g., stock, crypto, forex).
Click the "Indicators" button at the top of the chart.
Search for "OSOM Trend" (if it's a community script, you may need to paste the Pine Script code into the Pine Editor).
To add via Pine Editor:
Click the Pine Editor tab at the bottom.
Paste the provided code (from //@version=6 to the end).
Click "Save" and name it (e.g., "OSOM Trend").
Click "Add to Chart".
The indicator will overlay on your chart with default settings.
2. Configuring Inputs
Once added, click the gear icon next to the indicator name in the chart legend to open settings.
Inputs are grouped for ease:
OSOM WV Settings: Adjust trend length (default 14 for sensitivity), smoothing (7), band width (0.8 ATR multiplier), ATR length (10). Toggle fast mode for minimal lag, signals, forecast, take-profits, and re-entries.
Breakout Boxes Settings: Set pivot length (5), box widths (0.5 upper/lower via sliders), and colors.
MMB Settings: Volume lookback (200), EMA smoothing (10).
PVSRA Settings: Length (10), multipliers for climax/rising volumes (2.0/1.5). Optional symbol override (e.g., for aggregated BTC data).
Vector Candle Zones: Toggle on/off, max zones (500), zone type (body/wicks), transparency (90).
CVD Settings: Toggle long/short MAs (55/34 EMA), multipliers (1.5), lengths (40). Enable higher TF, volume integration, dynamic clouds, bar coloring, and status table.
Start with defaults for most assets; reduce lengths for lower timeframes (e.g., 1m-15m) to increase responsiveness, or increase for higher TFs (e.g., daily) for smoother trends.
Visual tweaks: Choose label size (small to reduce clutter), colors, and mode (Cloud for channels, Line Only for simplicity).
3. Interpreting the Visuals and Signals
Trend Line and Bands/Cloud:
Green (bullish) when price > upper band; red (bearish) when < lower band; gray (neutral).
Cloud mode shows a filled channel; use for range visualization. Single Band highlights the active support/resistance.
Buy/Sell Signals:
Up arrow (↑) labels for buys (price crosses over upper band); down arrow (↓) for sells (crosses under lower band).
If forecast enabled, labels show "count/avg" (e.g., "↑ 5/10") – current trend bars vs. smoothed historical average.
Take-profit: "✖" labels when overextended (Z-score > threshold, RSI EMA slope reversal).
Re-entries: "↻" labels on wick touches during trends (with cooldown to avoid spam).
Breakout Boxes:
Pink upper boxes (resistance) and green lower boxes (support) around pivots.
Boxes display total volume and buy/sell % breakdown.
Breakout signals: "BreakUp ⯁" or "BreakDn ⯁" labels/alerts when price crosses box edges – use for momentum trades.
MMB (Market Maker Build):
Green crosses below bars: Building long (accumulation).
Red crosses above: Building short.
Green X above: Closing long (distribution).
Red X below: Closing short.
Watch for clusters near support/resistance for institutional activity.
PVSRA Candle Coloring:
Overrides bar colors: Green/lime (bull climax), red (bear climax), blue (bull rising), violet/fuchsia (bear rising), gray (normal).
Vector zones (translucent boxes) highlight high-volume areas as potential S/R.
CVD (Cumulative Volume Delta):
Bar colors: Blue (uptrend), red (downtrend) based on CVD vs. MAs.
Status table (top-right): Checkmarks for Long/Short/Test/Sideways states.
Long: CVD above both MAs (bullish confirmation).
Short: Below both (bearish).
Test: Near clouds (potential reversal).
Sideways: Within parallels (range-bound).
4. Trading Strategies
Trend Following: Enter long on buy signals in green trends; short on sell in red. Exit on opposite signals or take-profits. Use forecast for expected duration.
Breakouts: Trade breakups from upper boxes (long) or breakdowns from lower (short). Confirm with volume % (e.g., high buy volume in upper box suggests strong breakout).
Volume Confirmation: Align with MMB builds/closes and PVSRA climaxes for high-conviction entries. Avoid trades in sideways CVD states.
Filters: Use RSI EMA slope in take-profits for overbought/oversold avoidance. Higher TF CVD for broader context.
Timeframes: Versatile – scalping (1m-5m with fast mode), swing (1h-4h), position (daily+). Test on historical data.
Risk Management: Set stops below lower band (longs) or above upper (shorts). Size positions based on ATR.
5. Alerts and Automation
Set alerts via TradingView: Right-click chart > Add Alert > Condition (e.g., "Buy Signal" or "BreakUp").
Supported alerts: Buy/Sell, Take-Profit, BreakUp/Dn, MMB crosses, Vector patterns, CVD Long/Short entries.
For scripting: Use alertcondition() calls in the code for custom notifications.
6. Tips and Best Practices
Asset Suitability: Best on volume-rich assets (e.g., BTC/USD, stocks). For low-volume, disable CVD/MMB or use overrides.
Performance: On busy charts, reduce max counts (labels/boxes) to avoid lag. Test fast mode for real-time trading.
Backtesting: Use TradingView's replay or strategy tester (convert to strategy script by adding strategy() functions).
Limitations: Not a standalone system – combine with fundamentals/news. Higher TF data may delay updates.
Customization: Experiment with inputs; e.g., tighten bands (lower multiplier) for volatile markets.
This indicator excels in providing multi-layered confirmation, reducing false signals through volume integration. Always practice on demo accounts before live trading.
스크립트에서 "4月10日A股市场分析"에 대해 찾기
Luxy Sector & Industry RS AnalyzerEver wonder why some stocks soar while others in the same sector barely move? Or why your perfectly timed entry still loses money? Possibly the answer can be found in Relative Strength.
The Luxy Sector & Industry RS Analyzer solves a critical problem that most traders overlook: picking strong stocks in strong sectors AND strong industries . It's not enough for a stock to go up - you want stocks that are crushing their competition at both the sector AND industry level. This indicator does the heavy lifting by automatically comparing your stock against its sector ETF, industry ETF, the broader market, sector leader, and industry leader, giving you a complete multi-level picture of relative performance.
What makes this different?
- Automatic sector AND industry detection - no manual setup required
- Multi-level hierarchy analysis: Market → Sector → Industry → Stock
- Multi-timeframe analysis (1 month to 1 year) in one glance
- Industry ETF mapping (30+ industries covered)
- Clear 0-100 scoring system with letter grades (A+ to F)
- Works on stocks, crypto, forex, and commodities
- Real-time updates with anti-repaint protection
Think of it as your performance dashboard - instantly showing you if you're trading a champion or a laggard at every level of the market hierarchy.
METHODOLOGY & ATTRIBUTION
This indicator is based on classical Relative Strength (RS) analysis principles from technical analysis. RS methodology compares an asset's price performance against a benchmark to identify relative outperformance or underperformance. This concept has been used by professional traders and institutions for decades.
Key Concepts Used:
Relative Strength (RS) - Classical technical analysis concept measuring comparative performance
Multi-Level Hierarchy Analysis - Market → Sector → Industry → Stock comparison
Sector Rotation Analysis - Identifying which sectors are leading or lagging the market
Industry Rotation Analysis - Identifying which industries are leading within their sectors
Multi-period Performance Analysis - Evaluating strength across multiple timeframes
Beta Calculation - Standard statistical measure of volatility relative to a benchmark
DISCLAIMER: This indicator is for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell. Past performance does not guarantee future results. Trading involves risk and may not be suitable for all investors. Always do your own research and consult with a financial advisor before making investment decisions.
with all rows visible - capture when stock has strong RS score (70+) so users can see what a "good" setup looks like]
WHAT THE INDICATOR SHOWS
1. AUTOMATIC ASSET TYPE DETECTION
The indicator automatically identifies what you're analyzing and adjusts accordingly:
Stocks - Compares to sector ETF (XLK, XLF, XLV, etc.) and SPY
Crypto - Compares to Total Crypto Market Cap and Bitcoin
Forex - Compares to relevant currency index (DXY, EXY, etc.)
Commodities - Compares to Gold (GLD) as benchmark
Indices - Compares to broader market indices
How it works: The indicator reads your chart's asset type and ticker, then automatically maps it to the correct sector or benchmark. For stocks, it uses intelligent sector detection (looking at the sector field) to match you with the right sector ETF. For example:
- Technology stocks get compared to XLK (Technology Select Sector SPDR)
- Financial stocks get compared to XLF (Financial Select Sector SPDR)
- Healthcare stocks get compared to XLV (Health Care Select Sector SPDR)
This happens instantly when you add the indicator to any chart - no configuration needed.
2. SECTOR & MARKET BENCHMARKS
What is a Sector ETF?
A sector ETF is an exchange-traded fund that tracks a specific industry group. For example, XLK contains all major technology companies. By comparing your stock to its sector ETF, you can see if your stock is outperforming or underperforming its peers.
The indicator shows three key comparison points:
Stock vs Sector (Benchmark)
This tells you how your stock performs compared to companies in the same industry. Positive numbers mean your stock is beating the sector average. Negative numbers mean it's lagging behind.
Stock vs Market (SPY)
This shows performance against the broader S&P 500 index. This is important because even if a stock beats its sector, the entire sector might be weak. You want stocks that beat both their sector AND the market.
Sector vs Market
This reveals "sector rotation" - whether money is flowing into or out of this sector. When this number is positive, the whole sector is hot and leading the market. This is powerful because strong sectors tend to lift all boats, making it easier to find winners.
3. MULTI-PERIOD PERFORMANCE ANALYSIS
The indicator calculates performance across four timeframes simultaneously:
1 Month (1M) - Recent short-term momentum
3 Months (3M) - Medium-term trend strength
6 Months (6M) - Longer-term positioning
1 Year (1Y) - Full-cycle performance view
Why multiple periods matter:
A stock might look great over 1 month but terrible over 6 months - that's a red flag. The best stocks show consistent strength across all timeframes . When you see positive RS (Relative Strength) values across all four periods, you've found a stock with sustained outperformance.
Each row in the table shows:
- Raw performance percentage for that period
- RS value (the difference compared to benchmark)
- Color coding: Green for positive, red for negative, white for neutral
4. SECTOR LEADER COMPARISON
The indicator automatically identifies and compares your stock to the sector leader - the dominant stock in that industry.
Sector leaders by industry:
Technology: Apple (AAPL)
Healthcare: UnitedHealth (UNH)
Financial: JPMorgan Chase (JPM)
Energy: ExxonMobil (XOM)
Consumer Discretionary: Amazon (AMZN)
Consumer Staples: Walmart (WMT)
And more...
Why this matters:
Comparing to the leader shows you if you're trading a champion or a follower. If your stock consistently beats the sector leader, you've found something special. If it's lagging the leader, you might want to trade the leader instead.
Optional Custom Leader:
You can override the automatic leader and compare to any stock you choose. This is useful if you want to benchmark against a specific competitor or reference stock.
NEW! INDUSTRY ANALYSIS (STOCKS ONLY)
The indicator now provides multi-level analysis by automatically detecting and comparing your stock to its specific industry , not just the broad sector.
Why Industry matters:
Technology sector (XLK) contains many different industries: Software, Semiconductors, Hardware, etc. A software stock might beat the broad tech sector but lag behind other software companies. Industry analysis provides this granular view.
Industry ETF Mapping (30+ industries):
Software/Applications: IGV (iShares Software ETF)
Semiconductors: SMH (VanEck Semiconductor ETF)
Biotech: IBB (iShares Biotechnology ETF)
Pharmaceuticals: XPH (SPDR Pharmaceuticals ETF)
Banks: KBE (SPDR S&P Bank ETF)
Regional Banks: KRE (SPDR Regional Banking ETF)
Oil & Gas Exploration: XOP (SPDR Oil & Gas Exploration ETF)
Homebuilders: XHB (SPDR Homebuilders ETF)
Retail: XRT (SPDR S&P Retail ETF)
Aerospace & Defense: ITA (iShares U.S. Aerospace & Defense ETF)
And many more...
Industry Leader Mapping:
The indicator also identifies the leader within each industry:
Software: Microsoft (MSFT)
Semiconductors: NVIDIA (NVDA)
Biotech: Amgen (AMGN)
Pharmaceuticals: Eli Lilly (LLY)
Banks: JPMorgan (JPM)
Oil Exploration: ConocoPhillips (COP)
And more...
New Table Rows for Stocks:
Industry ETF Performance - How the specific industry performed (green background)
Industry Leader Performance - How the top stock in the industry performed
vs Industry RS - Your stock's outperformance vs its industry ETF
Industry vs Sector RS - Is this industry hot or cold within its sector?
vs Industry Leader RS - Your stock's performance vs the industry's best
Why this is powerful:
A stock that beats both its sector AND its industry is showing strength at every level. This indicates true relative strength, not just riding sector-wide momentum.
Optional Custom Industry:
You can override automatic detection for both Industry ETF and Industry Leader in settings.
5. RS SCORE & GRADING SYSTEM (0-100)
The heart of the indicator is the RS Score - a weighted calculation that distills all the performance data into one clear number from 0 to 100.
How the score is calculated:
FOR STOCKS (with Industry data):
The indicator splits the weight between Sector (60%) and Industry (40%):
SECTOR RS (60% of total weight):
1 Month RS: 24% weight (40% × 0.6)
3 Month RS: 18% weight (30% × 0.6)
6 Month RS: 12% weight (20% × 0.6)
1 Year RS: 6% weight (10% × 0.6)
INDUSTRY RS (40% of total weight):
1 Month RS: 16% weight (40% × 0.4)
3 Month RS: 12% weight (30% × 0.4)
6 Month RS: 8% weight (20% × 0.4)
1 Year RS: 4% weight (10% × 0.4)
FOR OTHER ASSETS (Crypto, Forex, Commodities):
Uses full 100% weight on benchmark:
1 Month RS: 40% weight
3 Month RS: 30% weight
6 Month RS: 20% weight
1 Year RS: 10% weight
It starts at 50 (neutral) and adds or subtracts points based on your asset's relative strength in each period.
Bonus points:
+5 points if the sector is outperforming the market (sector rotation is bullish)
+5 points if the industry is outperforming its sector (hot industry) - STOCKS ONLY
+5 points if RS momentum is improving (getting stronger over time)
-5 points if RS momentum is declining (getting weaker)
The final score is capped between 0-100.
Letter Grade System:
90-100: A+ - Elite performer, crushing the sector
85-89: A - Excellent, strong outperformer
80-84: A- - Very good, above average
75-79: B+ - Good, solid performer
70-74: B - Above average, decent strength
65-69: B- - Slightly above average
60-64: C+ - Average, neutral strength
55-59: C - Below average
50-54: C- - Weak, slight underperformance
45-49: D+ - Concerning weakness
40-44: D - Poor, significant underperformance
0-39: F - Failing, avoid this stock
What scores mean for trading:
- RS Score above 70: Strong stocks worth considering for long positions
- RS Score 50-70: Average stocks, better opportunities elsewhere
- RS Score below 50: Weak stocks, avoid or consider for shorts
6. CONSISTENCY SCORE
This metric shows what percentage of time periods show positive RS .
For STOCKS (with Industry data):
Counts both Sector RS periods AND Industry RS periods (up to 8 total periods):
- If a stock beats both sector and industry in all 4 periods each: Consistency = 100% (8/8)
- If it beats in 6 out of 8 total periods: Consistency = 75%
- If it beats in 4 out of 8 total periods: Consistency = 50%
For OTHER ASSETS:
Counts benchmark periods only (4 total):
- If it beats benchmark in all 4 periods (1M, 3M, 6M, 1Y): Consistency = 100%
- If it beats in 3 out of 4 periods: Consistency = 75%
- If it beats in 2 out of 4 periods: Consistency = 50%
Why consistency matters:
A high RS Score with low consistency might indicate a recent spike that could fade. The best stocks show both high RS Score AND high consistency - they're strong now AND have been strong historically at both the sector AND industry level.
Look for stocks with:
Consistency above 75%: Very reliable strength across all levels
Consistency 50-75%: Decent but check other metrics
Consistency below 50%: Weak or erratic, proceed with caution
7. BETA CALCULATION (Volatility Measure)
Beta measures how much more volatile your stock is compared to its sector.
Beta > 1.2 : High volatility - stock moves more aggressively than sector (marked as "High")
Beta 0.8-1.2 : Normal volatility - moves roughly in line with sector
Beta < 0.8 : Low volatility - stock is more stable than sector (marked as "Low")
Formula used:
Beta = Correlation(Stock, Sector) × (Standard Deviation of Stock / Standard Deviation of Sector)
This uses a 20-period calculation for reliability.
How to use Beta:
- High Beta stocks offer bigger gains but also bigger risks - good for aggressive traders
- Low Beta stocks are more defensive - good for conservative positions
- Match Beta to your risk tolerance and strategy
8. DAYS ABOVE/BELOW SECTOR
This tracks consecutive periods (bars) where your stock outperforms or underperforms its sector.
Days Above Sector:
Counts how many bars in a row your stock has beaten the sector.
10+ days: Strong sustained strength (shown in bright green)
5-9 days: Building momentum (shown in yellow)
1-4 days: Early strength (shown in white)
0 days: Not currently outperforming
Days Below Sector:
Counts how many bars in a row your stock has lagged the sector.
10+ days: Sustained weakness (shown in bright red)
5-9 days: Losing momentum (shown in orange)
1-4 days: Minor weakness (shown in white)
0 days: Not underperforming (this is good!)
Why this matters:
Long streaks show trend persistence. A stock with 15+ days above sector is riding strong momentum. A stock with 15+ days below sector is in a sustained downtrend relative to peers.
9. PRICE VS 52-WEEK HIGH
Shows where current price sits relative to its 52-week high (or equivalent for your timeframe).
95%+ (green) : Stock is near all-time highs - strong positioning
80-94% (yellow) : Stock is in a pullback but still relatively strong
Below 80% : Stock has pulled back significantly from highs
Why this matters:
The strongest stocks stay near their highs. When you see a stock with high RS Score AND price near 52W high, you've found a stock with institutional support and strong buying pressure.
10. RELATIVE VOLUME
Compares current volume to the 20-period average volume.
1.5x+ (green) : High volume - significant interest and participation
Around 1.0x : Average volume - normal trading activity
Below 1.0x : Low volume - less interest or inactive period
Why volume matters:
High relative volume confirms price moves. When a stock makes a strong move on 2x or 3x normal volume, it's more likely to sustain. Low volume moves are often just noise.
11. AVERAGE RS STRENGTH
This calculates the average absolute value of all RS readings across the four timeframes.
It shows the magnitude of divergence from the sector, regardless of direction. A high number means the stock moves very differently from its sector (could be much stronger or much weaker). A low number means it tracks closely with the sector.
High Average RS: Stock has strong character, moves independently
Low Average RS: Stock follows sector closely, lacks individual strength
12. SECTOR ROTATION SIGNAL
This indicator automatically detects when a sector is experiencing bullish rotation - meaning money is flowing into the sector and it's outperforming the broader market.
Condition for bullish rotation:
Sector must be beating SPY (market) in both 1-month AND 3-month periods.
Why this matters:
Stocks in hot sectors tend to perform better because they have tailwinds from sector-wide buying. When sector rotation is bullish and your stock has a high RS Score, you've found an ideal setup.
The indicator adds +5 bonus points to the RS Score when sector rotation is bullish.
13. MOMENTUM DETECTION
The indicator compares 1-month RS to 3-month RS to detect if momentum is improving or declining.
RS Momentum Improving: 1M RS is better than 3M RS - stock is getting stronger (adds +5 to score)
RS Momentum Declining: 1M RS is worse than 3M RS - stock is getting weaker (subtracts -5 from score)
Why momentum matters:
You want to catch stocks as momentum is building, not after it's already peaked. Improving momentum suggests the strength is accelerating, not fading.
14. OVERALL ASSESSMENT & RECOMMENDATION
The indicator provides two quick summary rows:
Overall Rating:
Based on grade and RS Score, you get an instant quality rating:
Strong Leader (A/A+) - Top tier stock, crushing it
Above Average (A-/B+) - Solid performer, better than most
Average (B/B-) - Middle of the pack
Below Average (C/C+) - Struggling, watch carefully
Underperformer (D/F) - Weak stock, underperforming badly
Trading Signal:
Combines multiple factors to give setup quality:
STRONG BUY SETUP - RS Score 70+, Consistency 75+, AND sector rotation bullish. This is the perfect storm - strong stock, consistent strength, hot sector.
BULLISH - RS Score 60+, Consistency 50+. Good quality stock worth considering.
NEUTRAL - RS Score 50+. Okay but not exciting, better opportunities exist.
WEAK - RS Score 40-49. Below average, risky.
AVOID - RS Score below 40. Stay away, too weak.
IMPORTANT: These are educational signals only, not financial advice. Always do your own analysis and risk management.
KEY FEATURES
1. AUTOMATIC EVERYTHING
- Auto-detects asset type (stock, crypto, forex, commodity, index)
- Auto-maps stocks to correct sector ETF (11 sectors covered)
- Auto-maps stocks to correct industry ETF (30+ industries covered)
- Auto-identifies sector leader AND industry leader
- Auto-selects appropriate market benchmark
- Zero configuration required - just add to chart
2. MULTI-ASSET SUPPORT
Works on all asset classes:
US Stocks - Compares to sector ETFs (XLK, XLF, XLV, etc.)
Crypto - Compares to Total Crypto Market Cap
Forex - Compares to currency indices (DXY, EXY, etc.)
Commodities - Compares to Gold (GLD)
Indices - Compares to broader market benchmarks
3. FLEXIBLE DISPLAY
9 table positions (top/middle/bottom, left/center/right)
4 size options (tiny, small, normal, large)
Show/hide table completely
Real-time indicator toggle
4. TIMEFRAME FLEXIBILITY
Choose your analysis timeframe:
Chart Timeframe (default) - Uses whatever timeframe your chart is on
Fixed: 1 Hour, 4 Hours, Daily, Weekly - Forces calculations to specific timeframe
This means you can be on a 5-minute chart but analyze RS on Daily timeframe if you prefer.
5. RS SCORE FILTERING
Set a minimum RS Score threshold to only see strong stocks:
Set to 0 - Shows all stocks
Set to 70 - Only displays stocks with RS Score 70+ (strong stocks only)
Warning message displays if stock doesn't meet threshold
Perfect for screening - quickly scan multiple charts and the indicator only shows tables for stocks that pass your quality filter.
6. CUSTOM LEADER COMPARISON
Override automatic leader detection:
Compare to any ticker you choose
Benchmark against specific competitors
Use your own reference stocks
7. COMPREHENSIVE TOOLTIPS
Every input parameter and every table row has detailed tooltips explaining:
What the metric measures
How to interpret the values
What thresholds indicate strength/weakness
Why it matters for trading
Hover over any element to learn - it's like having a trading coach built in.
8. SMART ALERTS
Built-in alert system for key events:
Divergence Alerts:
Get notified when your stock diverges significantly from its sector.
Bullish Divergence: Stock beating sector by threshold percentage
Bearish Divergence: Stock losing to sector by threshold percentage
Set your threshold (default 5%) - this determines how big a divergence triggers the alert.
RS Score Alerts:
Get notified when RS Score crosses your threshold:
Crossed Above: RS Score went from below to above your threshold (bullish)
Crossed Below: RS Score dropped from above to below threshold (bearish)
Set your threshold (default 70) to focus on strong stocks.
Sector Rotation Alert:
Fires when sector shows bullish rotation (outperforming market).
HOW TO USE THE INDICATOR
FOR SWING TRADERS:
1. Add indicator to your watchlist stocks
2. Look for RS Score 70+ with Consistency 75%+
3. Check if sector rotation is bullish (bonus!)
4. Verify price is near 52W high (95%+)
5. Wait for entry setup on your chart
6. Use stop loss below key support
Example Setup:
Stock shows:
- RS Score: 82 (Grade: A-)
- Consistency: 100% (strong across all periods)
- Sector Rotation: Bullish
- Price vs 52W High: 96%
- Days Above Sector: 12 days
- Relative Volume: 1.8x
This is a textbook strong stock in a hot sector near highs - ideal for swing long.
FOR POSITION TRADERS:
1. Focus on 6-month and 1-year RS values
2. Look for sustained outperformance (Consistency 75%+)
3. Prefer lower Beta stocks (less volatility)
4. Check Days Above Sector for trend persistence
5. Monitor RS Score monthly, exit if drops below 60
FOR ACTIVE TRADERS:
1. Use on intraday timeframes (1H or 4H)
2. Set RS Score filter to 60+ for quick screening
3. Enable Divergence Alerts
4. Watch for momentum improving signal
5. Higher Beta stocks offer more movement
FOR SHORT SELLERS:
1. Look for RS Score below 40 (Grade: D or F)
2. Check for declining momentum
3. Verify Days Below Sector is increasing (10+)
4. Sector rotation should be bearish
5. Price should be well off 52W high
WHAT MAKES A PERFECT SETUP:
The holy grail combination:
RS Score: 75+ (A- or better)
Consistency: 80%+ (strong across time - beats sector AND industry)
Sector Rotation: Bullish (hot sector)
Industry vs Sector: Positive (hot industry within sector)
Days Above Sector: 10+ (sustained strength)
Momentum: Improving (getting stronger)
Price vs 52W High: 90%+ (near highs)
Relative Volume: 1.5x+ (volume confirmation)
When you find this combination, you've located a stock with every advantage in its favor - strong at the stock level, industry level, AND sector level. That's multi-level confirmation of relative strength.
IMPORTANT NOTES
Data Reliability:
All calculations use lookahead=off for anti-repaint protection
Historical values will never change
Real-time indicator toggle only affects the visual clock icon, not data reliability
All security requests are properly configured to prevent future data leakage
Sector Mapping Notes:
Sector detection uses TradingView's sector field
Some stocks may not have sector data - indicator will adapt
Sector ETFs used: XLK, XLF, XLV, XLE, XLY, XLP, XLI, XLB, XLRE, XLU, XLC
Major market ETFs (SPY, QQQ, DIA) are treated as market benchmarks, not stocks
Multi-Asset Notes:
Crypto compares to CRYPTOCAP:TOTAL (total crypto market cap)
Forex compares to relevant currency index based on base currency
Commodities compare to Gold (GLD) as primary commodity benchmark
Custom leaders can be set for any asset type
FREQUENTLY ASKED QUESTIONS
Q: What does RS Score of 75 actually mean?
A: It means your stock is strongly outperforming its sector across multiple timeframes. The score is weighted toward recent performance (1-month gets 40% weight), so 75 indicates sustained relative strength with emphasis on current momentum.
Q: My stock has high RS Score but is going down. Why?
A: RS Score measures relative performance (vs sector/market), not absolute price direction. A stock can fall 5% while its sector falls 10% - that's still positive relative strength. In bear markets or sector corrections, high RS stocks often fall less than peers.
Q: Should I only trade stocks with RS Score above 70?
A: For long positions, yes - focus on 70+ scores. These stocks have proven they can beat their sector. However, for pairs trading or relative value plays, you might also short stocks with scores below 40 while longing stocks above 70.
Q: What if my stock doesn't have a sector?
A: The indicator handles this gracefully. If no sector is detected, it will compare directly to the market (SPY for stocks). Some rows may show N/A, but the indicator will still provide useful market-relative data.
Q: Why does the sector sometimes show N/A?
A: This happens when: 1) Your asset has no sector classification, 2) The stock IS the sector ETF itself, 3) You're analyzing a non-stock asset (crypto, forex, commodity). The indicator adapts by focusing on market-relative metrics instead.
Q: Can I use this on cryptocurrencies?
A: Yes! The indicator automatically detects crypto and compares to the Total Crypto Market Cap (CRYPTOCAP:TOTAL). You can also set a custom leader like Bitcoin (BTCUSD) to compare against the dominant crypto.
Q: What's the difference between RS Score and Consistency?
A: RS Score is the weighted average of how much you're beating the sector (magnitude). Consistency is what percentage of time periods show outperformance (reliability). You want both high - that means strong AND consistent.
Q: Do the alerts repaint?
A: No. All alerts fire only on bar close (barstate.isconfirmed) and use properly configured data with lookahead=off. Once an alert fires, it's final and won't change.
Q: What timeframe should I use?
A: For swing trading: Daily or Weekly. For day trading: 1H or 4H. For position trading: Weekly. Use "Chart Timeframe" mode and switch your chart timeframe to change the analysis period easily.
Q: Why is Days Above Sector showing 0?
A: This means your stock is not currently outperforming its sector. If Days Below Sector is also 0, it means the RS is exactly neutral (very rare). Check the actual RS values to see current standing.
Q: Can I compare to a different market benchmark than SPY?
A: Currently the indicator uses SPY (S&P 500) as the default US stock market benchmark. For crypto it uses CRYPTOCAP:TOTAL, for forex it uses currency indices, etc. The benchmark auto-adjusts based on asset type.
Q: What's a good Beta value?
A: It depends on your strategy. Aggressive traders prefer Beta above 1.2 (more volatility = bigger moves). Conservative traders prefer Beta 0.8-1.0 (more stable). Beta is neutral - it's about matching your risk tolerance.
Q: How often does the table update?
A: With Real-time Indicator enabled: Every tick (constant updates). With it disabled: Only on bar close. Either way, the underlying data is identical and non-repainting - the toggle only affects update frequency and the clock icon display.
Q: My stock is showing "AVOID" but it's up 50% this year. Is the indicator wrong?
A: Not necessarily. The indicator measures RELATIVE performance. If your stock is up 50% but the sector is up 100%, your stock is actually underperforming by 50%. The indicator helps you identify when you should switch to stronger stocks in the same sector.
Q: What does "Strong Buy Setup" really mean?
A: It means three things aligned: 1) RS Score above 70 (strong stock), 2) Consistency above 75% (reliable strength), 3) Sector rotation is bullish (hot sector). This combination historically correlates with stocks that continue outperforming. However, this is NOT financial advice - always do your own analysis.
Q: Can I use this for options trading?
A: Yes! High RS Score stocks make good candidates for call options (bullish bets) while low RS Score stocks may work for puts (bearish bets). Higher Beta stocks will have more volatile options (higher premiums but more movement).
Q: Why is my crypto showing N/A for sector?
A: Cryptocurrencies don't have "sectors" like stocks do. Instead, the indicator compares crypto to the total crypto market cap. This is normal and expected behavior.
Q: What happens if I'm analyzing an ETF?
A: If you're analyzing a sector ETF (like XLK), it will compare to SPY (market). If you're analyzing SPY itself, some comparisons won't be available (can't compare SPY to itself). The indicator intelligently adapts to avoid circular comparisons.
Q: What if my stock doesn't have industry data?
A: Not all stocks are mapped to specific industries (only 30+ major industries are covered). If no industry is detected, the indicator will still work using only sector analysis. The RS Score calculation will use 100% sector weight instead of the 60%/40% split.
Q: Why does Industry vs Sector matter?
A: Industry vs Sector shows if your specific industry is hot or cold within its broader sector. For example, Semiconductors (SMH) might be outperforming Technology sector (XLK) even though both are up. This helps you find not just strong sectors, but the strongest industries within those sectors.
Q: Can I disable Industry analysis?
A: Yes! In the "Industry Analysis" settings group, you can toggle off "Show Industry Analysis in Table" to hide all industry rows. However, even when hidden, industry data still contributes to the RS Score calculation for stocks.
Q: Why is my Consistency Score lower for stocks than other assets?
A: For stocks with industry data, Consistency counts 8 periods (4 Sector + 4 Industry periods) instead of just 4. This means the bar is higher - your stock needs to beat both sector AND industry consistently. A stock that beats sector in all 4 periods but lags industry in 2 periods will show 75% consistency (6/8), not 100%.
BEST PRACTICES
Use as a screening tool - Set RS Score filter to 70+ and quickly scan your watchlist. Only strong stocks will show the table.
Combine with technical analysis - RS Score tells you WHAT to trade, your chart tells you WHEN to enter.
Check multiple timeframes - Switch between Daily and Weekly to see if strength holds across different time horizons.
Monitor sector rotation - When sector goes from bearish to bullish rotation, it's often a great time to enter stocks in that sector.
Watch Industry vs Sector - Stocks in hot industries within hot sectors have double tailwinds. Prioritize Industry vs Sector positive values.
Pay attention to consistency - High RS Score with low consistency might be a spike that fades. Look for 70%+ consistency across BOTH sector and industry.
Use the leader comparison - If your stock consistently beats both sector leader AND industry leader, you may have found the next champion.
Watch days above/below sector - Long streaks (15+ days) indicate strong trends. Look for these in conjunction with high RS Score.
Set alerts on key stocks - Enable RS Score alerts at 70 threshold to get notified when watchlist stocks become strong.
Consider Beta for position sizing - Size smaller positions in high Beta stocks, larger in low Beta stocks for balanced risk.
Exit when RS Score drops - If a stock's RS Score falls below 60, consider reducing or exiting - the strength may be fading.
Leverage industry-level insight - If Industry ETF is weak but stock is strong, that's standout strength. If Industry is hot but stock is lagging, consider switching to the industry leader instead.
SETTINGS EXPLAINED
Display Settings:
Show Performance Table - Master on/off switch for the table
Table Position - 9 positions available (corners, edges, center)
Table Size - 4 sizes (tiny, small, normal, large) for different screen sizes
Timeframe Settings:
Chart Timeframe (recommended) - Dynamic, uses whatever chart TF you're on
Fixed Timeframes - Locks analysis to 1H, 4H, Daily, or Weekly regardless of chart
Filtering Settings:
Minimum RS Score - Set threshold (0-100) for displaying table
Show Warning - When enabled, displays message if stock doesn't meet filter
Alert Settings:
Divergence Alerts - Enable alerts when stock diverges from sector
Threshold (%) - How big a divergence triggers alert (default 5%)
RS Score Alerts - Enable alerts when RS Score crosses threshold
Threshold - What RS Score level triggers alert (default 70)
Sector Analysis Settings:
Use Custom Sector ETF - Override automatic sector ETF detection
Sector ETF Symbol - Enter any sector ETF to compare against
Use Custom Sector Leader - Override automatic sector leader detection
Sector Leader Symbol - Enter any ticker as sector leader
Industry Analysis Settings:
Use Custom Industry ETF - Override automatic industry ETF detection
Industry ETF Symbol - Enter specific industry ETF (e.g., IGV, SMH)
Use Custom Industry Leader - Override automatic industry leader detection
Industry Leader Symbol - Enter specific industry leader
Show Industry Analysis - Toggle all industry rows on/off
Display Settings:
Show Real-time Indicator - Toggle clock icon in header (doesn't affect data)
WHAT THIS INDICATOR DOESN'T DO
To set proper expectations:
Does NOT provide entry/exit signals - this is a strength analyzer, not a trading system
Does NOT predict future price movement - shows current and historical relative strength
Does NOT guarantee profits - strong RS stocks can still decline
Does NOT replace your own analysis - use as one tool among many
Does NOT work on stocks with no sector data - will adapt but some rows show N/A
This indicator is a decision support tool . It helps you identify which stocks are showing relative strength so you can make more informed trading decisions. You still need your own entry strategy, risk management, and position sizing rules.
SUPPORT & CONTACT
Questions or feedback? Use the comments section below or send me a message.
If you find this indicator useful, please give it a boost and share with other traders who might benefit from relative strength analysis.
FINAL REMINDER
This indicator is a tool for analyzing relative strength - it shows you which stocks are outperforming their sector and market. It does NOT provide financial advice or trade signals. Always conduct your own research, manage your risk appropriately, and consult with a financial advisor before making investment decisions.
Past performance of relative strength does not guarantee future results. Strong stocks can become weak, and sectors rotate in and out of favor. Use this indicator as part of a comprehensive trading strategy, not as a standalone decision-making system.
Trade smart, manage risk, and may your RS Scores stay high!
If you got till here and you like my work a BOOST and a COMMENT would make me happy
Macro Range HighlighterThis Pine Script indicator creates visual boxes that highlight specific time-based price ranges throughout the trading day, operating in New York Eastern Time. It offers two distinct modes: a standard hourly range mode and a classic ICT (Inner Circle Trader) Macro mode.
Two Operating Modes
Mode 1: Standard Hourly 50-09 Ranges (Default)
This mode identifies and highlights the price range during the final 10 minutes of each hour (xx:50) through the first 9 minutes of the next hour (xx:09).
Examples of captured ranges:
08:50 - 09:09
09:50 - 10:09
10:50 - 11:09
11:50 - 12:09
12:50 - 13:09
13:50 - 14:09
14:50 - 15:09
And continues for each hour...
Excluded Time Periods:
The indicator excludes certain periods that cross into or occur during market close and the daily reset:
02:50 - 03:09 (excluded to avoid interference with overnight session)
15:50 - 18:09 (excluded to avoid end-of-regular-hours and the 18:00 ET trading day reset)
This means you will NOT see boxes during the 16:00 or 17:00 hours, as these fall within the excluded window.
Mode 2: Classic ICT Macro Times
When enabled, this mode shows ONLY four specific time windows that are significant in ICT methodology:
02:33 - 02:59 (London Midnight Macro)
04:03 - 04:29 (London Open Macro)
13:10 - 13:39 (New York Lunch Macro)
15:15 - 15:44 (New York Close Macro)
When this mode is active, all standard hourly ranges are disabled, including the 02:50-03:09 range.
Green Line - Open Price
Represents the open price of the first candle when the range begins
This line is static once set - it shows where price opened when entering the time window
Extends horizontally across the entire duration of the box
Example: If the range starts at 08:50 and that candle opens at 18,500, the green line will be drawn at 18,500
Blue Line - Evolving Midpoint
Represents the dynamic midpoint between the range high and range low
This line continuously recalculates as new highs or lows are made within the time window
Calculation: Midpoint = (Range High + Range Low) / 2
Evolution example:
At 08:50, range is 18,480 (low) to 18,520 (high), midpoint = 18,500
At 08:55, price makes new high of 18,540, midpoint updates to 18,510
At 09:02, price makes new low of 18,470, midpoint updates to 18,505
The line visually adjusts up and down as the range expands
Extension: The line extends horizontally from the start of the range to the current bar (or end of range)
This gives traders a visual reference for the "fair value" or equilibrium point of the range
Red Line - Close Price
Represents the close price of the most recent candle within the time window
This line updates continuously with each new bar's close price
Extends horizontally across the range
When the range completes (exits the time window), it shows the final close price of the last bar in the range
Example: As price moves from 08:50 to 09:09, the red line will track the close of each candle: 18,505 → 18,510 → 18,508 → 18,515, etc.
This indicator provides a sophisticated visual framework for analyzing specific time-based price behavior. The evolving midpoint (blue line and optional yellow plot) is particularly powerful because it gives you real-time feedback on where the "fair value" of the range is as it develops, allowing you to make informed decisions about whether price is extended or returning to equilibrium. The three-line system (open/mid/close) creates a complete picture of price action within each critical time window, whether you're using standard hourly analysis or focusing on ICT's specific macro times.
Trade The Matric / MACD-RSI Hybrid Candles**"MACD-RSI Hybrid Candles"** is a **custom TradingView Pine Script (v6)** indicator that **replaces your chart’s default candles** with **dynamically colored, intensity-adjusted candles** based on **combined MACD and RSI signals**.
It’s a **visual fusion** of:
- **MACD Histogram** → Momentum & Trend Strength
- **RSI** → Overbought/Oversold & Trend Confirmation
- **Dynamic Transparency** → Visualizes **signal strength**
The result? **At-a-glance confirmation of bullish/bearish phases** — no need to check subcharts.
---
## OVERVIEW: What This Indicator Does
| Feature | Purpose |
|-------|--------|
| **Replaces price candles** | Entire chart becomes a **live MACD-RSI signal map** |
| **Colors based on dual confirmation** | Only strong when **both** MACD and RSI agree |
| **Transparency = momentum intensity** | Brighter = stronger signal |
| **Labels & Alerts** | Highlights **phase changes** (bullish/bearish shifts) |
---
## USER INPUTS (Customizable)
| Input | Default | Description |
|------|--------|-----------|
| `fastLen` | 12 | MACD Fast EMA |
| `slowLen` | 26 | MACD Slow EMA |
| `signalLen` | 9 | MACD Signal Line |
| `rsiLen` | 14 | RSI Period |
| `showLabels` | true | Show "Bullish Phase" / "Bearish Phase" labels |
> Standard settings — tweak for sensitivity.
---
## CORE CALCULATIONS
### 1. **MACD**
```pinescript
macdLine = ta.ema(close, fastLen) - ta.ema(close, slowLen)
signalLine = ta.ema(macdLine, signalLen)
hist = macdLine - signalLine
```
- `hist > 0` → **Bullish momentum**
- `hist < 0` → **Bearish momentum**
### 2. **RSI**
```pinescript
rsi = ta.rsi(close, rsiLen)
```
- `rsi > 50` → **Bullish bias**
- `rsi < 50` → **Bearish bias**
---
## DUAL CONFIRMATION LOGIC
| Condition | Meaning |
|--------|--------|
| `bullCond = macdBull and rsiBull` | **MACD hist > 0** AND **RSI > 50** → **Confirmed Bullish** |
| `bearCond = macdBear and rsiBear` | **MACD hist < 0** AND **RSI < 50** → **Confirmed Bearish** |
| Otherwise | **Neutral / Conflicted** |
> Only **strong, aligned signals** get bright colors.
---
## DYNAMIC INTENSITY & TRANSPARENCY (Key Feature)
```pinescript
maxHist = ta.highest(math.abs(hist), 100)
intensity = math.abs(hist) / maxHist
transp = 90 - (intensity * 80)
```
### How It Works:
1. Finds **strongest MACD histogram value** in last 100 bars
2. Compares **current histogram** to that peak → `intensity` (0 to 1)
3. **Transparency scales from 90 (faint) → 10 (bright)**
| Intensity | Transparency | Visual Effect |
|---------|--------------|-------------|
| 0% (weak) | 90 | Almost transparent |
| 50% | 50 | Medium |
| 100% | 10 | **Vivid, bold candle** |
> **Brighter candle = stronger momentum relative to recent history**
---
## CANDLE COLOR LOGIC
| Condition | Candle & Wick Color | Transparency |
|--------|---------------------|------------|
| **Confirmed Bullish** (`bullCond`) | **Lime Green** | Dynamic (10–90) |
| **Confirmed Bearish** (`bearCond`) | **Red** | Dynamic (10–90) |
| **Neutral / Conflicted** | **Gray** | Fixed 80 (faint) |
> **Wicks and borders match body** → full candle takeover
---
## VISUAL OUTPUT
### 1. **Custom Candles**
```pinescript
plotcandle(open, high, low, close, color=barColor, wickcolor=barColor, bordercolor=barColor)
```
- **Replaces default chart candles**
- **No original candles visible**
### 2. **Labels (Optional)**
- **"Bullish Phase"** → Green label **below low** when:
- MACD histogram **crosses above zero**
- AND RSI **> 50**
- **"Bearish Phase"** → Red label **above high** when:
- MACD histogram **crosses below zero**
- AND RSI **< 50**
> Up to **500 labels** (`max_labels_count=500`)
---
## ALERTS (Built-In)
| Alert | Trigger |
|------|--------|
| **Bullish MACD-RSI Signal** | `ta.crossover(hist, 0) and rsi > 50` |
| **Bearish MACD-RSI Signal** | `ta.crossunder(hist, 0) and rsi < 50` |
> Message: *"MACD crossed above zero with RSI > 50 — Bullish phase."*
---
## HOW TO READ THE CHART
| Visual | Market State | Interpretation |
|-------|-------------|----------------|
| **Bright Lime Candles** | **Strong Bullish Momentum** | High conviction — trend accelerating |
| **Faint Lime Candles** | **Weak Bullish** | Momentum present but not strong |
| **Bright Red Candles** | **Strong Bearish Momentum** | Downtrend with power |
| **Faint Red Candles** | **Weak Bearish** | Selling pressure, but fading |
| **Gray Candles** | **Conflicted / Choppy** | MACD and RSI disagree — avoid |
| **"Bullish Phase" Label** | **New Uptrend Starting** | Entry signal |
| **"Bearish Phase" Label** | **New Downtrend Starting** | Short signal |
---
## TRADING STRATEGY (Example)
### **Long Entry**
1. Wait for **"Bullish Phase" label**
2. Confirm **bright lime candles** (intensity > 50%)
3. Enter on **pullback to support** or **breakout**
4. **Stop Loss**: Below recent swing low
5. **Take Profit**: Trail with EMA or at resistance
### **Short Entry**
1. Wait for **"Bearish Phase" label**
2. Confirm **bright red candles**
3. Enter on **rally to resistance**
> **Best in trending markets** — avoid choppy ranges.
---
## UNIQUE FEATURES
| Feature | Benefit |
|-------|--------|
| **Dual Confirmation** | Avoids false MACD signals in overbought/oversold zones |
| **Dynamic Transparency** | Shows **relative strength** — not just direction |
| **Full Candle Replacement** | Clean, uncluttered chart |
| **Phase Labels** | Marks **exact trend change points** |
| **Built-in Alerts** | No extra setup needed |
---
## LIMITATIONS
| Issue | Note |
|------|------|
| **Lagging by design** | MACD & RSI are reactive |
| **Repainting?** | **No** — all on close |
| **No volume filter** | Add separately for better accuracy |
| **Labels can clutter** | Toggle off in choppy markets |
| **Intensity uses 100-bar lookback** | May lag in very long trends |
---
## BEST USE CASES
| Market | Timeframe | Style |
|-------|----------|------|
| Stocks, Forex, Crypto | 15m, 1H, 4H | Swing / Trend Following |
| **Avoid**: Sideways markets | Yes | High noise = many gray candles |
---
## COMPARISON TO STANDARD MACD/RSI
| Feature | This Indicator | Standard MACD + RSI |
|-------|----------------|---------------------|
| Visual | **Candles = signal** | Subchart lines |
| Confirmation | Built-in dual logic | Manual |
| Strength | Dynamic brightness | Histogram height |
| Alerts | Phase changes | Need custom |
| Chart Clutter | Low | High (two panels) |
> **This is a "one-panel" momentum dashboard**
---
## SUMMARY: What This Indicator Does
> **"MACD-RSI Hybrid Candles"** turns your **entire price chart into a live momentum heatmap** where:
>
> 1. **Candle color** = **MACD + RSI agreement** (Bullish / Bearish / Neutral)
> 2. **Brightness** = **Momentum strength** vs. recent 100 bars
> 3. **Labels & Alerts** = **Trend phase changes** (zero-line crosses with RSI filter)
>
> It **eliminates subcharts** and gives **instant visual confirmation** of:
> - **Trend direction**
> - **Momentum power**
> - **High-probability entries**
---
**Ideal for traders who want:**
- **No indicator panels**
- **Clear, color-coded signals**
- **Strength at a glance**
- **Automated alerts on trend shifts**
---
**Pro Tip**: Use with **volume** or **support/resistance** for **higher win rate**.
J&C indicator📊 Indicators Used
10 MA (Fast) - Short-term trend direction
40 MA (Slow) - Long-term trend direction
🟢 LONG Signal Conditions (ALL must be true)
10 MA is rising (uptrend)
40 MA is rising (strong uptrend)
10 MA > 40 MA (fast above slow = bullish)
Price action: Low touched below 10 MA, but close is above 40 MA
This means price dipped but found support
Algorithm Predator - ML-liteAlgorithm Predator - ML-lite
This indicator combines four specialized trading agents with an adaptive multi-armed bandit selection system to identify high-probability trade setups. It is designed for swing and intraday traders who want systematic signal generation based on institutional order flow patterns , momentum exhaustion , liquidity dynamics , and statistical mean reversion .
Core Architecture
Why These Components Are Combined:
The script addresses a fundamental challenge in algorithmic trading: no single detection method works consistently across all market conditions. By deploying four independent agents and using reinforcement learning algorithms to select or blend their outputs, the system adapts to changing market regimes without manual intervention.
The Four Trading Agents
1. Spoofing Detector Agent 🎭
Detects iceberg orders through persistent volume at similar price levels over 5 bars
Identifies spoofing patterns via asymmetric wick analysis (wicks exceeding 60% of bar range with volume >1.8× average)
Monitors order clustering using simplified Hawkes process intensity tracking (exponential decay model)
Signal Logic: Contrarian—fades false breakouts caused by institutional manipulation
Best Markets: Consolidations, institutional trading windows, low-liquidity hours
2. Exhaustion Detector Agent ⚡
Calculates RSI divergence between price movement and momentum indicator over 5-bar window
Detects VWAP exhaustion (price at 2σ bands with declining volume)
Uses VPIN reversals (volume-based toxic flow dissipation) to identify momentum failure
Signal Logic: Counter-trend—enters when momentum extreme shows weakness
Best Markets: Trending markets reaching climax points, over-extended moves
3. Liquidity Void Detector Agent 💧
Measures Bollinger Band squeeze (width <60% of 50-period average)
Identifies stop hunts via 20-bar high/low penetration with immediate reversal and volume spike
Detects hidden liquidity absorption (volume >2× average with range <0.3× ATR)
Signal Logic: Breakout anticipation—enters after liquidity grab but before main move
Best Markets: Range-bound pre-breakout, volatility compression zones
4. Mean Reversion Agent 📊
Calculates price z-scores relative to 50-period SMA and standard deviation (triggers at ±2σ)
Implements Ornstein-Uhlenbeck process scoring (mean-reverting stochastic model)
Uses entropy analysis to detect algorithmic trading patterns (low entropy <0.25 = high predictability)
Signal Logic: Statistical reversion—enters when price deviates significantly from statistical equilibrium
Best Markets: Range-bound, low-volatility, algorithmically-dominated instruments
Adaptive Selection: Multi-Armed Bandit System
The script implements four reinforcement learning algorithms to dynamically select or blend agents based on performance:
Thompson Sampling (Default - Recommended):
Uses Bayesian inference with beta distributions (tracks alpha/beta parameters per agent)
Balances exploration (trying underused agents) vs. exploitation (using proven winners)
Each agent's win/loss history informs its selection probability
Lite Approximation: Uses pseudo-random sampling from price/volume noise instead of true random number generation
UCB1 (Upper Confidence Bound):
Calculates confidence intervals using: average_reward + sqrt(2 × ln(total_pulls) / agent_pulls)
Deterministic algorithm favoring agents with high uncertainty (potential upside)
More conservative than Thompson Sampling
Epsilon-Greedy:
Exploits best-performing agent (1-ε)% of the time
Explores randomly ε% of the time (default 10%, configurable 1-50%)
Simple, transparent, easily tuned via epsilon parameter
Gradient Bandit:
Uses softmax probability distribution over agent preference weights
Updates weights via gradient ascent based on rewards
Best for Blend mode where all agents contribute
Selection Modes:
Switch Mode: Uses only the selected agent's signal (clean, decisive)
Blend Mode: Combines all agents using exponentially weighted confidence scores controlled by temperature parameter (smooth, diversified)
Lock Agent Feature:
Optional manual override to force one specific agent
Useful after identifying which agent dominates your specific instrument
Only applies in Switch mode
Four choices: Spoofing Detector, Exhaustion Detector, Liquidity Void, Mean Reversion
Memory System
Dual-Layer Architecture:
Short-Term Memory: Stores last 20 trade outcomes per agent (configurable 10-50)
Long-Term Memory: Stores episode averages when short-term reaches transfer threshold (configurable 5-20 bars)
Memory Boost Mechanism: Recent performance modulates agent scores by up to ±20%
Episode Transfer: When an agent accumulates sufficient results, averages are condensed into long-term storage
Persistence: Manual restoration of learned parameters via input fields (alpha, beta, weights, microstructure thresholds)
How Memory Works:
Agent generates signal → outcome tracked after 8 bars (performance horizon)
Result stored in short-term memory (win = 1.0, loss = 0.0)
Short-term average influences agent's future scores (positive feedback loop)
After threshold met (default 10 results), episode averaged into long-term storage
Long-term patterns (weighted 30%) + short-term patterns (weighted 70%) = total memory boost
Market Microstructure Analysis
These advanced metrics quantify institutional order flow dynamics:
Order Flow Toxicity (Simplified VPIN):
Measures buy/sell volume imbalance over 20 bars: |buy_vol - sell_vol| / (buy_vol + sell_vol)
Detects informed trading activity (institutional players with non-public information)
Values >0.4 indicate "toxic flow" (informed traders active)
Lite Approximation: Uses simple open/close heuristic instead of tick-by-tick trade classification
Price Impact Analysis (Simplified Kyle's Lambda):
Measures market impact efficiency: |price_change_10| / sqrt(volume_sum_10)
Low values = large orders with minimal price impact ( stealth accumulation )
High values = retail-dominated moves with high slippage
Lite Approximation: Uses simplified denominator instead of regression-based signed order flow
Market Randomness (Entropy Analysis):
Counts unique price changes over 20 bars / 20
Measures market predictability
High entropy (>0.6) = human-driven, chaotic price action
Low entropy (<0.25) = algorithmic trading dominance (predictable patterns)
Lite Approximation: Simple ratio instead of true Shannon entropy H(X) = -Σ p(x)·log₂(p(x))
Order Clustering (Simplified Hawkes Process):
Tracks self-exciting event intensity (coordinated order activity)
Decays at 0.9× per bar, spikes +1.0 when volume >1.5× average
High intensity (>0.7) indicates clustering (potential spoofing/accumulation)
Lite Approximation: Simple exponential decay instead of full λ(t) = μ + Σ α·exp(-β(t-tᵢ)) with MLE
Signal Generation Process
Multi-Stage Validation:
Stage 1: Agent Scoring
Each agent calculates internal score based on its detection criteria
Scores must exceed agent-specific threshold (adjusted by sensitivity multiplier)
Agent outputs: Signal direction (+1/-1/0) and Confidence level (0.0-1.0)
Stage 2: Memory Boost
Agent scores multiplied by memory boost factor (0.8-1.2 based on recent performance)
Successful agents get amplified, failing agents get dampened
Stage 3: Bandit Selection/Blending
If Adaptive Mode ON:
Switch: Bandit selects single best agent, uses only its signal
Blend: All agents combined using softmax-weighted confidence scores
If Adaptive Mode OFF:
Traditional consensus voting with confidence-squared weighting
Signal fires when consensus exceeds threshold (default 70%)
Stage 4: Confirmation Filter
Raw signal must repeat for consecutive bars (default 3, configurable 2-4)
Minimum confidence threshold: 0.25 (25%) enforced regardless of mode
Trend alignment check: Long signals require trend_score ≥ -2, Short signals require trend_score ≤ 2
Stage 5: Cooldown Enforcement
Minimum bars between signals (default 10, configurable 5-15)
Prevents over-trading during choppy conditions
Stage 6: Performance Tracking
After 8 bars (performance horizon), signal outcome evaluated
Win = price moved in signal direction, Loss = price moved against
Results fed back into memory and bandit statistics
Trading Modes (Presets)
Pre-configured parameter sets:
Conservative: 85% consensus, 4 confirmations, 15-bar cooldown
Expected: 60-70% win rate, 3-8 signals/week
Best for: Swing trading, capital preservation, beginners
Balanced: 70% consensus, 3 confirmations, 10-bar cooldown
Expected: 55-65% win rate, 8-15 signals/week
Best for: Day trading, most traders, general use
Aggressive: 60% consensus, 2 confirmations, 5-bar cooldown
Expected: 50-58% win rate, 15-30 signals/week
Best for: Scalping, high-frequency trading, active management
Elite: 75% consensus, 3 confirmations, 12-bar cooldown
Expected: 58-68% win rate, 5-12 signals/week
Best for: Selective trading, high-conviction setups
Adaptive: 65% consensus, 2 confirmations, 8-bar cooldown
Expected: Varies based on learning
Best for: Experienced users leveraging bandit system
How to Use
1. Initial Setup (5 Minutes):
Select Trading Mode matching your style (start with Balanced)
Enable Adaptive Learning (recommended for automatic agent selection)
Choose Thompson Sampling algorithm (best all-around performance)
Keep Microstructure Metrics enabled for liquid instruments (>100k daily volume)
2. Agent Tuning (Optional):
Adjust Agent Sensitivity multipliers (0.5-2.0):
<0.8 = Highly selective (fewer signals, higher quality)
0.9-1.2 = Balanced (recommended starting point)
1.3 = Aggressive (more signals, lower individual quality)
Monitor dashboard for 20-30 signals to identify dominant agent
If one agent consistently outperforms, consider using Lock Agent feature
3. Bandit Configuration (Advanced):
Blend Temperature (0.1-2.0):
0.3 = Sharp decisions (best agent dominates)
0.5 = Balanced (default)
1.0+ = Smooth (equal weighting, democratic)
Memory Decay (0.8-0.99):
0.90 = Fast adaptation (volatile markets)
0.95 = Balanced (most instruments)
0.97+ = Long memory (stable trends)
4. Signal Interpretation:
Green triangle (▲): Long signal confirmed
Red triangle (▼): Short signal confirmed
Dashboard shows:
Active agent (highlighted row with ► marker)
Win rate per agent (green >60%, yellow 40-60%, red <40%)
Confidence bars (█████ = maximum confidence)
Memory size (short-term buffer count)
Colored zones display:
Entry level (current close)
Stop-loss (1.5× ATR)
Take-profit 1 (2.0× ATR)
Take-profit 2 (3.5× ATR)
5. Risk Management:
Never risk >1-2% per signal (use ATR-based stops)
Signals are entry triggers, not complete strategies
Combine with your own market context analysis
Consider fundamental catalysts and news events
Use "Confirming" status to prepare entries (not to enter early)
6. Memory Persistence (Optional):
After 50-100 trades, check Memory Export Panel
Record displayed alpha/beta/weight values for each agent
Record VPIN and Kyle threshold values
Enable "Restore From Memory" and input saved values to continue learning
Useful when switching timeframes or restarting indicator
Visual Components
On-Chart Elements:
Spectral Layers: EMA8 ± 0.5 ATR bands (dynamic support/resistance, colored by trend)
Energy Radiance: Multi-layer glow boxes at signal points (intensity scales with confidence, configurable 1-5 layers)
Probability Cones: Projected price paths with uncertainty wedges (15-bar projection, width = confidence × ATR)
Connection Lines: Links sequential signals (solid = same direction continuation, dotted = reversal)
Kill Zones: Risk/reward boxes showing entry, stop-loss, and dual take-profit targets
Signal Markers: Triangle up/down at validated entry points
Dashboard (Configurable Position & Size):
Regime Indicator: 4-level trend classification (Strong Bull/Bear, Weak Bull/Bear)
Mode Status: Shows active system (Adaptive Blend, Locked Agent, or Consensus)
Agent Performance Table: Real-time win%, confidence, and memory stats
Order Flow Metrics: Toxicity and impact indicators (when microstructure enabled)
Signal Status: Current state (Long/Short/Confirming/Waiting) with confirmation progress
Memory Panel (Configurable Position & Size):
Live Parameter Export: Alpha, beta, and weight values per agent
Adaptive Thresholds: Current VPIN sensitivity and Kyle threshold
Save Reminder: Visual indicator if parameters should be recorded
What Makes This Original
This script's originality lies in three key innovations:
1. Genuine Meta-Learning Framework:
Unlike traditional indicator mashups that simply display multiple signals, this implements authentic reinforcement learning (multi-armed bandits) to learn which detection method works best in current conditions. The Thompson Sampling implementation with beta distribution tracking (alpha for successes, beta for failures) is statistically rigorous and adapts continuously. This is not post-hoc optimization—it's real-time learning.
2. Episodic Memory Architecture with Transfer Learning:
The dual-layer memory system mimics human learning patterns:
Short-term memory captures recent performance (recency bias)
Long-term memory preserves historical patterns (experience)
Automatic transfer mechanism consolidates knowledge
Memory boost creates positive feedback loops (successful strategies become stronger)
This architecture allows the system to adapt without retraining , unlike static ML models that require batch updates.
3. Institutional Microstructure Integration:
Combines retail-focused technical analysis (RSI, Bollinger Bands, VWAP) with institutional-grade microstructure metrics (VPIN, Kyle's Lambda, Hawkes processes) typically found in academic finance literature and professional trading systems, not standard retail platforms. While simplified for Pine Script constraints, these metrics provide insight into informed vs. uninformed trading , a dimension entirely absent from traditional technical analysis.
Mashup Justification:
The four agents are combined specifically for risk diversification across failure modes:
Spoofing Detector: Prevents false breakout losses from manipulation
Exhaustion Detector: Prevents chasing extended trends into reversals
Liquidity Void: Exploits volatility compression (different regime than trending)
Mean Reversion: Provides mathematical anchoring when patterns fail
The bandit system ensures the optimal tool is automatically selected for each market situation, rather than requiring manual interpretation of conflicting signals.
Why "ML-lite"? Simplifications and Approximations
This is the "lite" version due to necessary simplifications for Pine Script execution:
1. Simplified VPIN Calculation:
Academic Implementation: True VPIN uses volume bucketing (fixed-volume bars) and tick-by-tick buy/sell classification via Lee-Ready algorithm or exchange-provided trade direction flags
This Implementation: 20-bar rolling window with simple open/close heuristic (close > open = buy volume)
Impact: May misclassify volume during ranging/choppy markets; works best in directional moves
2. Pseudo-Random Sampling:
Academic Implementation: Thompson Sampling requires true random number generation from beta distributions using inverse transform sampling or acceptance-rejection methods
This Implementation: Deterministic pseudo-randomness derived from price and volume decimal digits: (close × 100 - floor(close × 100)) + (volume % 100) / 100
Impact: Not cryptographically random; may have subtle biases in specific price ranges; provides sufficient variation for agent selection
3. Hawkes Process Approximation:
Academic Implementation: Full Hawkes process uses maximum likelihood estimation with exponential kernels: λ(t) = μ + Σ α·exp(-β(t-tᵢ)) fitted via iterative optimization
This Implementation: Simple exponential decay (0.9 multiplier) with binary event triggers (volume spike = event)
Impact: Captures self-exciting property but lacks parameter optimization; fixed decay rate may not suit all instruments
4. Kyle's Lambda Simplification:
Academic Implementation: Estimated via regression of price impact on signed order flow over multiple time intervals: Δp = λ × Δv + ε
This Implementation: Simplified ratio: price_change / sqrt(volume_sum) without proper signed order flow or regression
Impact: Provides directional indicator of impact but not true market depth measurement; no statistical confidence intervals
5. Entropy Calculation:
Academic Implementation: True Shannon entropy requires probability distribution: H(X) = -Σ p(x)·log₂(p(x)) where p(x) is probability of each price change magnitude
This Implementation: Simple ratio of unique price changes to total observations (variety measure)
Impact: Measures diversity but not true information entropy with probability weighting; less sensitive to distribution shape
6. Memory System Constraints:
Full ML Implementation: Neural networks with backpropagation, experience replay buffers (storing state-action-reward tuples), gradient descent optimization, and eligibility traces
This Implementation: Fixed-size array queues with simple averaging; no gradient-based learning, no state representation beyond raw scores
Impact: Cannot learn complex non-linear patterns; limited to linear performance tracking
7. Limited Feature Engineering:
Advanced Implementation: Dozens of engineered features, polynomial interactions (x², x³), dimensionality reduction (PCA, autoencoders), feature selection algorithms
This Implementation: Raw agent scores and basic market metrics (RSI, ATR, volume ratio); minimal transformation
Impact: May miss subtle cross-feature interactions; relies on agent-level intelligence rather than feature combinations
8. Single-Instrument Data:
Full Implementation: Multi-asset correlation analysis (sector ETFs, currency pairs, volatility indices like VIX), lead-lag relationships, risk-on/risk-off regimes
This Implementation: Only OHLCV data from displayed instrument
Impact: Cannot incorporate broader market context; vulnerable to correlated moves across assets
9. Fixed Performance Horizon:
Full Implementation: Adaptive horizon based on trade duration, volatility regime, or profit target achievement
This Implementation: Fixed 8-bar evaluation window
Impact: May evaluate too early in slow markets or too late in fast markets; one-size-fits-all approach
Performance Impact Summary:
These simplifications make the script:
✅ Faster: Executes in milliseconds vs. seconds (or minutes) for full academic implementations
✅ More Accessible: Runs on any TradingView plan without external data feeds, APIs, or compute servers
✅ More Transparent: All calculations visible in Pine Script (no black-box compiled models)
✅ Lower Resource Usage: <500 bars lookback, minimal memory footprint
⚠️ Less Precise: Approximations may reduce statistical edge by 5-15% vs. academic implementations
⚠️ Limited Scope: Cannot capture tick-level dynamics, multi-order-book interactions, or cross-asset flows
⚠️ Fixed Parameters: Some thresholds hardcoded rather than dynamically optimized
When to Upgrade to Full Implementation:
Consider professional Python/C++ versions with institutional data feeds if:
Trading with >$100K capital where precision differences materially impact returns
Operating in microsecond-competitive environments (HFT, market making)
Requiring regulatory-grade audit trails and reproducibility
Backtesting with tick-level precision for strategy validation
Need true real-time adaptation with neural network-based learning
For retail swing/day trading and position management, these approximations provide sufficient signal quality while maintaining usability, transparency, and accessibility. The core logic—multi-agent detection with adaptive selection—remains intact.
Technical Notes
All calculations use standard Pine Script built-in functions ( ta.ema, ta.atr, ta.rsi, ta.bb, ta.sma, ta.stdev, ta.vwap )
VPIN and Kyle's Lambda use simplified formulas optimized for OHLCV data (see "Lite" section above)
Thompson Sampling uses pseudo-random noise from price/volume decimal digits for beta distribution sampling
No repainting: All calculations use confirmed bar data (no forward-looking)
Maximum lookback: 500 bars (set via max_bars_back parameter)
Performance evaluation: 8-bar forward-looking window for reward calculation (clearly disclosed)
Confidence threshold: Minimum 0.25 (25%) enforced on all signals
Memory arrays: Dynamic sizing with FIFO queue management
Limitations and Disclaimers
Not Predictive: This indicator identifies patterns in historical data. It cannot predict future price movements with certainty.
Requires Human Judgment: Signals are entry triggers, not complete trading strategies. Must be confirmed with your own analysis, risk management rules, and market context.
Learning Period Required: The adaptive system requires 50-100 bars minimum to build statistically meaningful performance data for bandit algorithms.
Overfitting Risk: Restoring memory parameters from one market regime to a drastically different regime (e.g., low volatility to high volatility) may cause poor initial performance until system re-adapts.
Approximation Limitations: Simplified calculations (see "Lite" section) may underperform academic implementations by 5-15% in highly efficient markets.
No Guarantee of Profit: Past performance, whether backtested or live-traded, does not guarantee future performance. All trading involves risk of loss.
Forward-Looking Bias: Performance evaluation uses 8-bar forward window—this creates slight look-ahead for learning (though not for signals). Real-time performance may differ from indicator's internal statistics.
Single-Instrument Limitation: Does not account for correlations with related assets or broader market regime changes.
Recommended Settings
Timeframe: 15-minute to 4-hour charts (sufficient volatility for ATR-based stops; adequate bar volume for learning)
Assets: Liquid instruments with >100k daily volume (forex majors, large-cap stocks, BTC/ETH, major indices)
Not Recommended: Illiquid small-caps, penny stocks, low-volume altcoins (microstructure metrics unreliable)
Complementary Tools: Volume profile, order book depth, market breadth indicators, fundamental catalysts
Position Sizing: Risk no more than 1-2% of capital per signal using ATR-based stop-loss
Signal Filtering: Consider external confluence (support/resistance, trendlines, round numbers, session opens)
Start With: Balanced mode, Thompson Sampling, Blend mode, default agent sensitivities (1.0)
After 30+ Signals: Review agent win rates, consider increasing sensitivity of top performers or locking to dominant agent
Alert Configuration
The script includes built-in alert conditions:
Long Signal: Fires when validated long entry confirmed
Short Signal: Fires when validated short entry confirmed
Alerts fire once per bar (after confirmation requirements met)
Set alert to "Once Per Bar Close" for reliability
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
SD Levels + EMASD Levels + EMA
Overview:
The SD Levels + EMA indicator combines volatility-based standard deviation levels with dual EMA signals to help traders identify potential breakout zones, overextended regions, and trend shifts. It overlays key market structure levels directly on the chart, giving a clear visual roadmap of intraday and daily strength zones.
🧠 Core Features
1. Standard Deviation Levels (SD Module)
Calculates volatility using annualized standard deviation from the selected source (hlc3 by default).
Automatically plots:
Settlement level
±0.33 SD, ±0.66 SD, ±1 SD, ±1.33 SD, ±1.66 SD, ±2 SD bands
Optionally displays:
Previous day’s high/low
Current day’s running high/low
These levels help spot volatility extremes, mean reversion zones, and breakout potential.
2. EMA Module
Plots two customizable EMAs (default = 5 and 10 periods).
Highlights bullish/bearish crossovers with clear up/down triangles.
Generates alerts for crossover events.
Includes an optional $-spaced grid (default $25) with user-defined levels above and below current price.
3. Visual & Utility Options
Optional info table showing:
Current Price
EMA 5
EMA 10
Real-time trend direction (Bullish ↑, Bearish ↓, Neutral)
Lightweight, non-repainting logic optimized for intraday timeframes.
User-friendly inputs to toggle each module independently.
⚙️ Recommended Use
Combine SD zones with EMA crossovers to confirm volatility-based breakouts or fade reversions near extremes.
The extended ±SD ladder helps traders map confluence areas between volatility expansion and EMA momentum.
🛠 Customization
Adjust SD sensitivity via level toggles and settlement source.
Modify grid spacing, number of levels, and EMA periods.
Enable/disable tables, labels, and individual components to match your charting style.
📢 Alerts
🔔 Bullish EMA Cross: EMA 5 crosses above EMA 10
🔔 Bearish EMA Cross: EMA 5 crosses below EMA 10
⚡ Summary
A hybrid indicator that merges volatility-based structure (SD levels) with trend-based momentum (EMA crosses)—ideal for traders who want to visualize both mean-reversion zones and trend continuation opportunities within a single tool.
RMBS Smart Detector - Multi-Factor Momentum System v2# RMBS Smart Detector - Multi-Factor Momentum System
## Overview
RMBS (Smart Detector - Multi-Factor Momentum System) is a proprietary scoring method developed by Ario, combining normalized RSI and Bollinger band positioning into a single composite metric.
---
## Core Methodology
### Buy/Sell Logic
Marker (green or red )appear when **all four filters** pass:
**1. RMBS Score (Momentum Strength)**
From the formula Bellow
Combined Range: -10 (extreme bearish) to +10 (extreme bullish)
Signal Thresholds:
• BUY: Score > +3.0
• SELL: Score < -3.0
2. EMA Trend Filter
BUY: EMA(21) > EMA(55) → Uptrend confirmed
SELL: EMA(21) < EMA(55) → Downtrend confirmed
3. ADX Strength Filter
Minimum ADX: 25 (adjustable 20-30)
ADX > 25: Trending market → Signal allowed
ADX < 25: Range-bound → Signal blocked
4. Alternating Logic
Prevents signal spam by requiring alternation:
✓ BUY → SELL → BUY (allowed)
✗ BUY → BUY → BUY (blocked)
________________________________________
Mathematical Foundation
RMBS Formula: scoring method developed by Ario
RMBS = (RSI – 50) / 10 + ((BB_pos – 50) / 10)
where:
• RSI = Relative Strength Index (close, L)
• BB_pos = (Close – (SMA – 2 σ)) / ((SMA + 2 σ) – (SMA – 2 σ)) × 100
• σ = standard deviation of close over lookback L
• SMA = simple moving average of close over lookback L
• L = rmbs_length (period setting)
This produces a normalized composite score around zero:
• Positive → bullish momentum and upper band dominance
• Negative → bearish momentum and lower band pressure
• Near 0 → neutral or transitional zone
Input Parameters
ADX Threshold (default: 25)
• Lower (20-23): More signals, less filtering
• Higher (28-30): Fewer signals, stronger trends
• Recommended: 25 for balanced filtering
Signal Thresholds
• BUY: +3.0 (adjustable)
• SELL: -3.0 (adjustable)
Visual Options
• Marker colors
• Background highlights
• Alert settings
________________________________________
Usage Guidelines
How to Interpret
• 🟢 Green Marker: All conditions met for Bull condition
• 🔴 Red Marker: All conditions met for Bear condition
• No Marker: Waiting for confirmation
________________________________________
Important Disclaimers
⚠️ Educational Purpose Only
• This tool demonstrates multi-factor technical analysis concepts
• Not financial advice or trade recommendations
• No guarantee of profitability
⚠️ Known Limitations
• Less effective in ranging/choppy markets
• Requires proper risk management (stop-loss, position sizing)
• Should be combined with fundamental analysis
⚠️ Risk Warning
Trading involves substantial risk of loss. Past performance does not indicate future results. Always conduct your own research and consult professionals before trading.
________________________________________
Open Source
Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome.
“All logic is presented for research and educational visualization.”
Livelli OI-PNCOI-PNC Levels is a script that displays the open interest (OI) and net short positions (PNC) of a selection of 20 of the most significant stocks in terms of traded value on the Italian market.
PNC are indicated by red dotted lines starting from the close of the last reported change date;
The most significant open interest by number of contracts (Top 10 Calls and Top 10 Puts) are displayed using labels, all on a single line (Strike, CALL, PUT);
A summary table can be activated.
the data is hardcoded using static arrays and must be updated periodically. Data updated of 03/11/2025
########### Italiano ############
Livelli OI-PNC è uno script che permette di visualizzare gli open interest (OI) e le Posizioni Nette Corte (PNC) di una selezione di 20 titoli tra i più significativi per controvalore movimentato del mercato italiano.
Le PNC vengono indicate tramite Linee tratteggiate rosse che partono dal close della data di ultima variazione comunicata;
Sono riportati tramite labels, gli Open Interest più significativi per num.Contratti (Top 10 Call e top 10 Put) tutto su una unica riga per ogni strike (Strike, CALL, PUT);
E' attivabile una Tabella di riepilogo.
Poiché Pine Script non può leggere direttamente file da URL esterni, i dati sono hardcorati tramite array statici e vanno aggiornati periodicamente. Dati aggiornati al 03/11/2025
S&P Trading System with PivotsThe S&P Trading System with Pivots is a TradingView indicator designed for the 30-minute SPX chart to guide SPY options trading. It uses a trend-following strategy with:
10 SMA and 50 SMA: Plots a 10-period (blue) and 50-period (red) Simple Moving Average. A bullish crossover (10 SMA > 50 SMA) signals a potential buy (green triangle below bar), while a bearish crossunder (10 SMA < 50 SMA) signals a sell or exit (red triangle above bar).
Trend Bias: Colors the background green (bullish) or red (bearish) based on SMA positions.
Pivot Points: Marks recent highs (orange circles) and lows (purple circles) as potential resistance and support levels, using a 5-bar lookback period.
Luxy Adaptive MA Cloud - Trend Strength & Signal Tracker V2Luxy Adaptive MA Cloud - Professional Trend Strength & Signal Tracker
Next-generation moving average cloud indicator combining ultra-smooth gradient visualization with intelligent momentum detection. Built for traders who demand clarity, precision, and actionable insights.
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WHAT MAKES THIS INDICATOR SPECIAL?
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Unlike traditional MA indicators that show static lines, Luxy Adaptive MA Cloud creates a living, breathing visualization of market momentum. Here's what sets it apart:
Exponential Gradient Technology
This isn't just a simple fill between two lines. It's a professionally engineered gradient system with 26 precision layers using exponential density distribution. The result? An organic, cloud-like appearance where the center is dramatically darker (15% transparency - where crossovers and price action occur), while edges fade gracefully (75% transparency). Think of it as a visual "heat map" of trend strength.
Dynamic Momentum Intelligence
Most MA clouds only show structure (which MA is on top). This indicator shows momentum strength in real-time through four intelligent states:
- 🟢 Bright Green = Explosive bullish momentum (both MAs rising strongly)
- 🔵 Blue = Weakening bullish (structure intact, but momentum fading)
- 🟠 Orange = Caution zone (bearish structure forming, weak momentum)
- 🔴 Deep Red = Strong bearish momentum (both MAs falling)
The cloud literally tells you when trends are accelerating or losing steam.
Conditional Performance Architecture
Every calculation is optimized for speed. Disable a feature? It stops calculating entirely—not just hidden, but not computed . The 26-layer gradient only renders when enabled. Toggle signals off? Those crossover checks don't run. This makes it one of the most efficient cloud indicators available, even with its advanced visual system.
Zero Repaint Guarantee
All signals and momentum states are based on confirmed bar data only . What you see in historical data is exactly what you would have seen trading live. No lookahead bias. No repainting tricks. No signals that "magically" appear perfect in hindsight. If a signal shows in history, it would have triggered in real-time at that exact moment.
Educational by Design
Every single input includes comprehensive tooltips with:
- Clear explanations of what each parameter does
- Practical examples of when to use different settings
- Recommended configurations for scalping, day trading, and swing trading
- Real-world trading impact ("This affects entry timing" vs "This is visual only")
You're not just getting an indicator—you're learning how to use it effectively .
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THE GRADIENT CLOUD - TECHNICAL DETAILS
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Architecture:
26 precision layers for silk-smooth transitions
Exponential density curve - layers packed tightly near center (where crossovers happen), spread wider at edges
75%-15% transparency range - center is highly opaque (15%), edges fade gracefully (75%)
V-Gradient design - emphasizes the action zone between Fast and Medium MAs
The Four Momentum States:
🟢 GREEN - Strong Bullish
Fast MA above Medium MA
Both MAs rising with momentum > 0.02%
Action: Enter/hold LONG positions, strong uptrend confirmed
🔵 BLUE - Weak Bullish
Fast MA above Medium MA
Weak or flat momentum
Action: Caution - bullish structure but losing strength, consider trailing stops
🟠 ORANGE - Weak Bearish
Medium MA above Fast MA
Weak or flat momentum
Action: Warning - bearish structure developing, consider exits
🔴 RED - Strong Bearish
Medium MA above Fast MA
Both MAs falling with momentum < -0.02%
Action: Enter/hold SHORT positions, strong downtrend confirmed
Smooth Transitions: The momentum score is smoothed using an 8-bar EMA to eliminate noise and prevent whipsaws. You see the true trend , not every minor fluctuation.
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FLEXIBLE MOVING AVERAGE SYSTEM
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Three Customizable MAs:
Fast MA (default: EMA 10) - Reacts quickly to price changes, defines short-term momentum
Medium MA (default: EMA 20) - Balances responsiveness with stability, core trend reference
Slow MA (default: SMA 200, optional) - Long-term trend filter, major support/resistance
Six MA Types Available:
EMA - Exponential; faster response, ideal for momentum and day trading
SMA - Simple; smooth and stable, best for swing trading and trend following
WMA - Weighted; middle ground between EMA and SMA
VWMA - Volume-weighted; reflects market participation, useful for liquid markets
RMA - Wilder's smoothing; used in RSI/ADX, excellent for trend filters
HMA - Hull; extremely responsive with minimal lag, aggressive option
Recommended Settings by Trading Style:
Scalping (1m-5m):
Fast: EMA(5-8)
Medium: EMA(10-15)
Slow: Not needed or EMA(50)
Day Trading (5m-1h):
Fast: EMA(10-12)
Medium: EMA(20-21)
Slow: SMA(200) for bias
Swing Trading (4h-1D):
Fast: EMA(10-20)
Medium: EMA(34-50)
Slow: SMA(200)
Pro Tip: Start with Fast < Medium < Slow lengths. The gradient works best when there's clear separation between Fast and Medium MAs.
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CROSSOVER SIGNALS - CLEAN & RELIABLE
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Golden Cross ⬆ LONG Signal
Fast MA crosses above Medium MA
Classic bullish reversal or trend continuation signal
Most reliable when accompanied by GREEN cloud (strong momentum)
Death Cross ⬇ SHORT Signal
Fast MA crosses below Medium MA
Classic bearish reversal or trend continuation signal
Most reliable when accompanied by RED cloud (strong momentum)
Signal Intelligence:
Anti-spam filter - Minimum 5 bars between signals prevents noise
Clean labels - Placed precisely at crossover points
Alert-ready - Built-in ALERTS for automated trading systems
No repainting - Signals based on confirmed bars only
Signal Quality Assessment:
High-Quality Entry:
Golden Cross + GREEN cloud + Price above both MAs
= Strong bullish setup ✓
Low-Quality Entry (skip or wait):
Golden Cross + ORANGE cloud + Choppy price action
= Weak bullish setup, likely whipsaw ✗
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REAL-TIME INFO PANEL
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An at-a-glance dashboard showing:
Trend Strength Indicator:
Visual display of current momentum state
Color-coded header matching cloud color
Instant recognition of market bias
MA Distance Table:
Shows percentage distance of price from each enabled MA:
Green rows : Price ABOVE MA (bullish)
Red rows : Price BELOW MA (bearish)
Gray rows : Price AT MA (rare, decision point)
Distance Interpretation:
+2% to +5%: Healthy uptrend
+5% to +10%: Getting extended, caution
+10%+: Overextended, expect pullback
-2% to -5%: Testing support
-5% to -10%: Oversold zone
-10%+: Deep correction or downtrend
Customization:
4 corner positions
5 font sizes (Tiny to Huge)
Toggle visibility on/off
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HOW TO USE - PRACTICAL TRADING GUIDE
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STRATEGY 1: Trend Following
Identify trend : Wait for GREEN (bullish) or RED (bearish) cloud
Enter on signal : Golden Cross in GREEN cloud = LONG, Death Cross in RED cloud = SHORT
Hold position : While cloud maintains color
Exit signals :
• Cloud turns ORANGE/BLUE = momentum weakening, tighten stops
• Opposite crossover = close position
• Cloud turns opposite color = full reversal
STRATEGY 2: Pullback Entries
Confirm trend : GREEN cloud established (bullish bias)
Wait for pullback : Price touches or crosses below Fast MA
Enter when : Price rebounds back above Fast MA with cloud still GREEN
Stop loss : Below Medium MA or recent swing low
Target : Previous high or when cloud weakens
STRATEGY 3: Momentum Confirmation
Your setup triggers : (e.g., chart pattern, support/resistance)
Check cloud color :
• GREEN = proceed with LONG
• RED = proceed with SHORT
• BLUE/ORANGE = skip or reduce size
Use gradient as confluence : Not as primary signal, but as momentum filter
Risk Management Tips:
Never enter against the cloud color (don't LONG in RED cloud)
Reduce position size during BLUE/ORANGE (transition periods)
Place stops beyond Medium MA for swing trades
Use Slow MA (200) as final trend filter - don't SHORT above it in uptrends
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PERFORMANCE & OPTIMIZATION
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Tested On:
Crypto: BTC, ETH, major altcoins
Stocks: SPY, AAPL, TSLA, QQQ
Forex: EUR/USD, GBP/USD, USD/JPY
Indices: S&P 500, NASDAQ, DJI
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TRANSPARENCY & RELIABILITY
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Educational Focus:
Detailed tooltips on every input
Clear documentation of methodology
Practical examples in descriptions
Teaches you why , not just what
Open Logic:
Momentum calculation: (Fast slope + Medium slope) / 2
Smoothing: 8-bar EMA to reduce noise
Thresholds: ±0.02% for strong momentum classification
Everything is transparent and explainable
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COMPLETE FEATURE LIST
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Visual Components:
26-layer exponential gradient cloud
3 customizable moving average lines
Golden Cross / Death Cross labels
Real-time info panel with trend strength
MA distance table
Calculation Features:
6 MA types (EMA, SMA, WMA, VWMA, RMA, HMA)
Momentum-based cloud coloring
Smoothed trend strength scoring
Conditional performance optimization
Customization Options:
All MA lengths adjustable
All colors customizable (when gradient disabled)
Panel position (4 corners)
Font sizes (5 options)
Toggle any feature on/off
Signal Features:
Anti-spam filter (configurable gap)
Clean, non-overlapping labels
Built-in alert conditions
No repainting guarantee
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IMPORTANT DISCLAIMERS
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This indicator is for educational and informational purposes only
Not financial advice - always do your own research
Past performance does not guarantee future results
Use proper risk management - never risk more than you can afford to lose
Test on paper/demo accounts before using with real money
Combine with other analysis methods - no single indicator is perfect
Works best in trending markets; less effective in choppy/sideways conditions
Signals may perform differently in different timeframes and market conditions
The indicator uses historical data for MA calculations - allow sufficient lookback period
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CREDITS & TECHNICAL INFO
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Version: 2.0
Release: October 2025
Special Thanks:
TradingView community for feedback and testing
Pine Script documentation for technical reference
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SUPPORT & UPDATES
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Found a bug? Comment below with:
Ticker symbol
Timeframe
Screenshot if possible
Steps to reproduce
Feature requests? I'm always looking to improve! Share your ideas in the comments.
Questions? Check the tooltips first (hover over any input) - most answers are there. If still stuck, ask in comments.
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Happy Trading!
Remember: The best indicator is the one you understand and use consistently. Take time to learn how the cloud behaves in different market conditions. Practice on paper before going live. Trade smart, manage risk, and may the trends be with you! 🚀
PRO Scalper(EN)
## What it is
**PRO Scalper** is an intraday price–action and liquidity map that helps you see where the market is likely to move **now**, not just where it has been.
It combines five building blocks that professional scalpers often watch together:
1. **Session Volume-Weighted Average Price (VWAP)** — the intraday “fair value” anchor.
2. **Opening Range** — the first minutes of the session that set the day’s balance.
3. **Trend filter** — higher-timeframe bias using **Exponential Moving Averages (EMA)** and optional **Average Directional Index (ADX)** strength.
4. **Two independent Supply/Demand zone engines** — zones are drawn from confirmed swing pivots, with midlines and **touch counters**.
5. **Order-flow style visuals**:
* **Delta bubbles** (green/red circles) show where buying or selling pressure was unusually strong, using a safe **delta proxy** (no external feeds).
* **Liquidity densities** (subtle rectangular bands) highlight clusters of large activity that often act as magnets or barriers and disappear when “eaten” by strong moves.
This mix gives you a **complete intraday picture**: the mean (VWAP), the day’s initial balance (Opening Range), the higher-timeframe push (trend filter), the nearby fuel or brakes (zones), and the live pressure points (bubbles and densities).
---
## Why these components
* **VWAP** tracks where the bulk of traded value sits. Price tends to rotate around it or accelerate away from it — a perfect compass for scalps.
* **Opening Range** frames the early auction. Many intraday breaks, fades and retests start at its boundaries.
* **EMA bias + ADX strength** separates trending conditions from chop, so you can keep only the zones that agree with the bigger push.
* **Pivot-based zones (two pairs at once)** are simple, objective and fast. Midlines help with confirmations; touch counters quantify how many times the zone was tested.
* **Bubbles and densities** add the “effort” layer: where the push appeared and where liquidity is concentrated. You see **where** a move is likely to continue or fail.
Together they reduce ambiguity: **context + level + effort** — all on one screen.
---
## How it works (plain language)
* **VWAP** resets each day and is calculated as the cumulative sum of typical price multiplied by volume divided by total volume.
* **Opening Range** is either automatic (a multiple of your chart timeframe) or a manual number of minutes. While it is forming, the highest high and lowest low are captured and plotted as the range.
* **Trend filter**
* **EMA Fast** and **EMA Slow** define directional bias.
* **ADX (optional)** adds “trend strength”: only when the Average Directional Index is above the chosen threshold do we treat the move as strong. You can source this from a higher timeframe.
* **Zones**
* There are **two independent pairs** of pivots at the same time (for example 10-left 10-right and 5-left 5-right).
* Each detected pivot creates a **Supply** (from a swing high) or **Demand** (from a swing low) box. Box depth = **zone depth × Average True Range** for adaptive sizing; the boxes **extend forward**.
* Midline (optional dashed line inside the box) is the “balance” of the zone.
* **“Only in trend”** mode can hide boxes that go against the higher-timeframe bias.
* The **touch counter** increases when price revisits the box. Labels show the pair name and the number of touches.
* **Bubbles**
* A safe **delta proxy** measures bar pressure (for example, range-weighted close vs open).
* A **quantile filter** shows only unusually large pressure: choose lookback and percentile, and the script draws a circle sized by intensity (green = bullish pressure, red = bearish).
* **Densities**
* The script marks heavy activity clusters as **subtle bands** around price (depth = fraction of Average True Range).
* If price **breaks** a density with volume above its moving average, the band **disappears** (“eaten”), which often precedes continuation.
---
## How to use — practical playbooks
> Recommended chart: crypto or index futures, one to five minutes. Use **one hour** or **fifteen minutes** for the higher-timeframe bias.
### 1) Trend pullback scalp (continuation)
1. Enable **Only in trend** zones.
2. In an uptrend: wait for a pullback into a **Demand** zone that overlaps with VWAP or sits just below the Opening Range midpoint.
3. Look for **green bubbles** near the zone’s bottom or a fresh **density** under price.
4. Enter on a candle closing **back above the zone midline**.
5. Stop-loss: below the bottom of the zone or a small multiple of Average True Range.
6. Targets: previous swing high, Opening Range high, fixed risk multiples, or VWAP.
Mirror the logic for downtrends using Supply zones, red bubbles and densities above price.
### 2) Reversion with liquidity sweep (fade)
1. Bias neutral or countertrend allowed.
2. Price **wicks through** a zone boundary (or an Opening Range line) and **closes back inside** the zone.
3. The bubble color often flips (absorption).
4. Enter toward the **inside** of the zone; stop beyond the sweep wick; first target = zone midline, second = opposite side of the zone or VWAP.
### 3) Opening Range break and retest
1. Wait for the Opening Range to complete.
2. A break with a large bubble suggests intent.
3. Look for a **retest** into a nearby zone aligned with VWAP.
4. Trade continuation toward the next zone or the session extremes.
### 4) Density “eaten” continuation
1. When a density band **disappears** on high volume, it often means the resting liquidity was consumed.
2. Trade in the direction of the break, toward the nearest opposing zone.
---
## Settings — quick guide
**Core**
* *ATR Length* — used for zone and density depths.
* *Show VWAP / Show Opening Range*.
* *Opening Range*: Auto (multiple of timeframe minutes) or Manual minutes.
**Trend Filter**
* *Mode*: Off, EMA only, or EMA with ADX strength.
* *Use higher timeframe* and its value.
* *EMA Fast / EMA Slow*, *ADX Length*, *ADX threshold*.
* *Plot EMA filter* to display the moving averages.
**Zones (two pairs)**
* *Pivot A Left / Right* and *Pivot B Left / Right*.
* *Zone depth × ATR*, *Extend bars*.
* *Show zone midline*, *Only in trend zones*.
* Labels automatically show the touch counters.
**Bubbles**
* *Show Bubbles*.
* *Quantile lookback* and *Quantile percent* (higher percent = stricter filter, fewer bubbles).
**Densities**
* *Metric*: absolute delta proxy or raw volume.
* *Quantile lookback / percent*.
* *Depth × ATR*, *Extend bars*, *Merge distance* (in ATR),
* *Break condition*: volume moving average length and multiplier,
* *Midline for densities* (optional dashed line).
---
## Tips and risk management
* This script **does not use external order-flow feeds**. Delta is a **proxy** suitable for TradingView; tune quantiles per symbol and timeframe.
* Do not trade every bubble. Combine **context (trend + VWAP + Opening Range)** with **level (zone)** and **effort (bubble/density)**.
* Set stop-losses beyond the zone or at a fraction of Average True Range. Predefine risk per trade.
* Backtest your rules with a strategy script before using real funds.
* Markets differ. Parameters that work on Bitcoin may not transfer to low-liquidity altcoins or stocks.
* Nothing here is financial advice. Scalping is high-risk; slippage and over-trading can quickly damage your account.
---
## What makes PRO Scalper unique
* Two **independent** zone engines run in parallel, so you can see both **larger structure** and **fine intraday levels** at the same time.
* Clean **“only in trend” rendering** — zones and midlines against the bias can be hidden, reducing clutter and hesitation.
* **Touch counters** convert “feel” into numbers.
* **Self-contained order-flow visuals** (bubbles and densities) that require no extra data sources.
* Careful defaults: subtle colors for densities, clearer zones, and responsive auto Opening Range.
---
(RU)
## Что это такое
**PRO Scalper** — это индикатор для внутридневной торговли, который показывает **контекст и ликвидность прямо сейчас**.
Он объединяет пять модулей, которыми профессиональные скальперы пользуются вместе:
1. **VWAP** — средневзвешенная по объему цена за сессию, «справедливая стоимость» дня.
2. **Opening Range** — первая часть сессии, задающая баланс дня.
3. **Фильтр тренда** — направление старшего таймфрейма по **экспоненциальным средним** и при желании по силе тренда **Average Directional Index**.
4. **Две независимые системы зон спроса/предложения** — зоны строятся от подтвержденных экстремумов (пивотов), имеют **среднюю линию** и **счетчик касаний**.
5. **Визуализация «ордер-флоу»**:
* **Пузыри дельты** (зеленые/красные круги) — места повышенного покупательного/продажного давления, рассчитанные через безопасный **прокси-дельты**.
* **Плотности ликвидности** (ненавязчивые прямоугольные ленты) — скопления объема, которые нередко притягивают цену или удерживают ее и исчезают, когда «разъедаются» сильным движением.
Итог — **полная картинка момента**: среднее (VWAP), баланс дня (Opening Range), старшая сила (фильтр тренда), ближайшие уровни топлива/тормозов (зоны), текущие точки усилия (пузыри и плотности).
---
## Почему именно эти элементы
* **VWAP** показывает, где сосредоточена стоимость; цена либо вращается вокруг него, либо быстро уходит — идеальный ориентир скальпера.
* **Opening Range** фиксирует ранний аукцион — от его границ часто начинаются пробои, возвраты и ретесты.
* **EMA + ADX** отделяют тренд от «пилы», позволяя оставлять на графике только зоны по направлению старшего таймфрейма.
* **Зоны от пивотов** просты, объективны и быстры; средняя линия помогает подтверждать разворот, счетчик касаний переводит субъективность в цифры.
* **Пузыри и плотности** добавляют слой «усилия»: где именно возник толчок и где сконцентрирована ликвидность.
Комбинация **контекста + уровня + усилия** уменьшает двусмысленность и ускоряет принятие решения.
---
## Как это работает (простыми словами)
* **VWAP** каждый день стартует заново: сумма «типичной цены × объем» делится на суммарный объем.
* **Opening Range** — автоматический (кратный минутам вашего таймфрейма) или вручную заданный период; пока он формируется, фиксируются максимум и минимум.
* **Фильтр тренда**
* Две экспоненциальные средние задают направление.
* **ADX** (по желанию) добавляет «силу». Источник можно взять со старшего таймфрейма.
* **Зоны**
* Одновременно работает **две пары** пивотов (например 10-лево 10-право и 5-лево 5-право).
* От пивота строится зона **предложения** (от максимума) или **спроса** (от минимума). Глубина зоны = **коэффициент × Average True Range**; зона тянется вперед.
* Внутри рисуется **средняя линия** (по желанию).
* Режим **«только по тренду»** скрывает зоны против старшего направления.
* **Счетчик касаний** увеличивается, когда цена снова входит в зону; подпись показывает пару и количество касаний.
* **Пузыри**
* Используется безопасный **прокси-дельты** — измерение «напряжения» внутри свечи.
* Через **квантильный фильтр** выводятся только необычно сильные места: настраиваются окно и процент квантиля; размер кружка — сила, цвет: зеленый покупатели, красный продавцы.
* **Плотности**
* Крупные активности отмечаются **ненавязчивыми прямоугольниками** (глубина — доля Average True Range).
* Если плотность **пробивается** объемом выше среднего, она **исчезает** — часто это предвещает продолжение.
---
## Как пользоваться — практические схемы
> Рекомендация: крипто или фьючерсы, таймфрейм 1–5 минут. Для старшего фильтра удобно взять **1 час** или **15 минут**.
### 1) Скальп на откат по тренду
1. Включите **«только по тренду»**.
2. В восходящем тренде дождитесь отката в **зону спроса**, желательно рядом с **VWAP** или серединой **Opening Range**.
3. Подтверждение — **зеленые пузыри** у нижней границы зоны или свежая **плотность** под ценой.
4. Вход после закрытия свечи **выше средней линии** зоны.
5. Стоп-лосс: за нижнюю границу зоны или небольшой множитель Average True Range.
6. Цели: предыдущий максимум, верх Opening Range, фиксированные R-множители, либо VWAP.
Для нисходящего тренда зеркально: зоны предложения, красные пузыри и плотности над ценой.
### 2) Контрдвижение с «выбиванием ликвидности»
1. Нейтральный или контртрендовый режим.
2. Цена **выносит хвостом** границу зоны (или линию Opening Range) и **закрывается обратно внутри**.
3. Цвет пузыря часто меняется (поглощение).
4. Вход внутрь зоны; стоп — за хвост выбивания; цели: средняя линия, противоположная граница зоны или VWAP.
### 3) Пробой Opening Range + ретест
1. Дождитесь завершения диапазона.
2. Сильный пробой с крупным пузырем — признак намерения.
3. Ищите **ретест** в зоне по тренду рядом с линией диапазона и VWAP.
4. Торгуйте продолжение к следующей зоне.
### 4) Продолжение после «съеденной» плотности
1. Когда прямоугольник плотности **исчезает** на повышенном объеме, это значит, что ликвидность поглощена.
2. Торгуйте в сторону пробоя к ближайшей противоположной зоне.
---
## Настройки — краткая шпаргалка
**Core**
— Длина Average True Range (для размеров зон и плотностей).
— Включение VWAP и Opening Range.
— Длина Opening Range: автоматическая (кратная минутам ТФ) или ручная.
**Trend Filter**
— Режим: выкл., только средние, либо средние + ADX.
— Источник со старшего таймфрейма и его значение.
— Длины средних, длина ADX и порог силы.
— Показать/скрыть линий средних.
**Zones (две пары одновременно)**
— Пара A: лев/прав; Пара B: лев/прав.
— Глубина зоны × Average True Range, продление по барам.
— Средняя линия, режим **«только по тренду»**.
— Подписи со счетчиком касаний.
**Bubbles**
— Вкл./выкл., окно поиска и процент квантиля (чем выше процент — тем реже пузыри).
**Densities**
— Метрика: абсолютная прокси-дельты или чистый объем.
— Окно/квантиль, глубина × Average True Range, продление,
— Порог объединения (в Average True Range),
— Условие «разъедания» по объему,
— Средняя линия плотности (по желанию).
---
## Советы и риски
* Индикатор **не использует внешние потоки ордер-флоу**. Дельта — **прокси**, подходящая для TradingView; подбирайте квантили под инструмент и таймфрейм.
* Не торгуйте каждый пузырь. Склейте **контекст (тренд + VWAP + Opening Range)** с **уровнем (зона)** и **усилием (пузырь/плотность)**.
* Стоп-лосс — за границей зоны или по Average True Range. Риск на сделку задавайте заранее.
* Перед реальными деньгами протестируйте правила в стратегии.
* Разные рынки ведут себя по-разному; настройки из Биткоина могут не подойти малоликвидным альткоинам или акциям.
* Это не инвестиционная рекомендация. Скальпинг — высокий риск; проскальзывание и переизбыток сделок быстро наносят ущерб капиталу.
---
## Чем уникален PRO Scalper
* Две **одновременные** системы зон показывают и **крупную структуру**, и **точные локальные уровни**.
* Режим **«только по тренду»** чистит экран от лишних уровней и ускоряет решение.
* **Счетчики касаний** дают количественную опору.
* **Самодостаточные визуализации усилия** (пузыри и плотности) — без сторонних источников данных.
* Аккуратная цветовая схема: плотности — мягко, зоны — ясно; Opening Range — адаптивный.
Пусть он станет вашей «картой местности» для быстрых и дисциплинированных решений внутри дня.
TwistedHWAY Oracle - Intelligent Level Detection System═════════════════════════════════════════════════════════════════════════
🎯 TwistedHWAY Oracle™ - Intelligent Level Detection System
═════════════════════════════════════════════════════════════════════════
OVERVIEW
TwistedHWAY Oracle™ combines six independent calculation engines to identify high-probability support and resistance levels. The indicator uses adaptive market regime detection and confluence analysis to automatically rank levels by confidence score, helping traders identify key reaction zones where price is likely to find support or resistance.
KEY FEATURES
The indicator provides comprehensive level detection through:
Six Detection Engines — Each engine operates independently with its own alert system
Confluence Analysis — Automatically awards bonus confidence when multiple engines identify the same level
Adaptive Intelligence — Market volatility detection adjusts parameters in real-time
Confidence Scoring — Every level is ranked and displayed with a numerical confidence score
Individual Alerts — Separate alert controls for each detection method
DETECTION ENGINES
1 — Pivot Points Engine
Calculates daily pivot levels including PP, R1-R3, and S1-S3 using previous day's high, low, and close.
2 — Swing Detector
Identifies significant swing highs and lows using prominence filtering to eliminate noise.
3 — Psychological Matrix
Detects round number levels at three configurable increments (default: 10, 25, 50).
4 — Fibonacci Engine
Calculates retracement levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) from major swings.
5 — VWAP System
Generates volume-weighted average price levels at three different periods.
6 — Confluence Analyzer
Awards bonus confidence points when multiple engines identify the same level.
HOW TO USE
Reading the Levels
Levels above current price = Resistance (red by default)
Levels below current price = Support (green by default)
Numbers in brackets show confidence score
Higher confidence = stronger level
Levels with score > 2.0 indicate extreme confluences
Trading Strategies
Bounce Trading — Enter positions when price approaches high-confidence levels expecting reversal
Breakout Trading — Trade breakouts through levels, using broken level as stop-loss
Confluence Zones — Focus on areas where multiple engines agree
SETTINGS GUIDE
Oracle Settings
Validation Mode — Conservative parameters for more reliable signals
Max Levels — Number of levels to display (10-50)
Level Extension — Line extension direction (None/Left/Right/Both)
Individual Engine Controls
Each engine can be toggled on/off with separate alert controls:
Pivot Engine (daily pivots)
Swing Detector (historical swings)
Psychological Matrix (round numbers)
Fibonacci Engine (retracements)
VWAP System (volume-weighted levels)
Visual Settings
Individual color selection for each level type
Label display toggle with size options
Line style preferences (Solid/Dashed/Dotted)
Alert Configuration
Alert Distance % — Proximity threshold (default: 0.5%)
Alert Cooldown — Minimum bars between alerts (default: 60)
Individual alert toggles for each engine
ADAPTIVE PARAMETERS
The indicator automatically adjusts to market conditions:
High Volatility Mode — Wider swing detection, stricter prominence filters
Normal Mode — Balanced parameters for typical market conditions
Validation Mode — Most conservative settings for reliable signals
Market regime is detected using 100-period volatility measurement with automatic threshold adjustment.
ALERTS
Five alert types plus special confluence alerts:
🎯 Pivot Alerts — Daily pivot level approaches
🌊 Swing Alerts — Historical swing level tests
🧠 Psychological Alerts — Round number approaches
🌀 Fibonacci Alerts — Retracement level tests
📉 VWAP Alerts — Volume-weighted level approaches
⚡ Critical Alerts — Ultra-high confidence levels (score ≥ 2.0)
Alerts include price level, confidence score, and source information.
BEST PRACTICES
Timeframe Selection
Works on all timeframes (optimized for 5min to Daily)
Higher timeframes = more reliable levels
Use multi-timeframe analysis for confirmation
Optimization by Instrument
Forex:
Psychological increments: 0.0010, 0.0050, 0.0100
Stocks (Low-priced):
Psychological increments: 1, 5, 10
Stocks (High-priced):
Psychological increments: 10, 25, 50
Crypto:
Adjust based on price range and volatility
LIMITATIONS
Calculation intensive on last bar (may cause slight delays)
Maximum 50 levels can be displayed simultaneously
Swing detection requires minimum 25 bars of history
VWAP calculations use price range as volume proxy when volume unavailable
NOTES
Levels are recalculated on each bar close
Confidence scores update dynamically with market conditions
Colors automatically adjust based on price position
All settings are saved with chart layout
═════════════════════════════════════════════════════════════════════════
Version: 3.0 | Build 2025.10
License: GNU GPL v3.0
© 2025 TwistedHWAY
═════════════════════════════════════════════════════════════════════════
Moving Averages PowerMoving Averages Power — Trend + Normalized Strength
Lightweight indicator that plots up to 15 SMAs (5 → 4320) and shows a compact table with each MA’s:
Slope % (per-bar)
Trend (Bullish/Bearish/Neutral)
Normalized “Strength” bars comparable across MA lengths and, optionally, across timeframes via ATR%
Not financial advice. For research/education only.
What it does
Plots 15 SMA lines on the price chart
Colors match trend: Bullish (green), Bearish (red), Neutral (gray)
Bottom-right table: MA, Slope %, Trend, Strength bars
Strength normalization modes:
None: raw |slope%|
Length: scales by length relative to a reference length
ATR%: scales by volatility (ATR as % of price)
Length+ATR%: combines both for better cross-timeframe comparability
How it works (concepts)
Slope % per bar: 100 × (MA − MA ) / MA
Normalization:
None: S = |slope%|
Length: S = |slope%| × (length / normRefLen)
ATR%: S = |slope%| / ATR%, where ATR% = 100 × ATR(atrLen) / close
Length+ATR%: S = (|slope%| × (length / normRefLen)) / ATR%
Bars: floor(S / strengthStep), clamped to Max bars (default 10)
Notes:
normRefLen (default 240) keeps Length scaling stable across very short and very long MAs
In ATR modes, Strength shows blank until there’s enough history for ATR
How to use
Add the indicator to your chart (Indicators → search this title → Add).
Open Settings:
Show/hide any of the 15 SMAs
Choose Strength normalization mode
Tune Strength step, Max bars, Reference length, and ATR Length
Read the table:
MA: period
Slope %: per-bar percent change of the MA
Trend: green (bullish), red (bearish), gray (neutral)
Strength: more bars = stronger trend under the chosen normalization
Inputs (quick reference)
Display:
15 toggles: Show SMA 5 … Show SMA 4320
Strength Settings:
Strength normalization: None | Length | ATR% | Length+ATR%
Strength step (normalized units): sensitivity of bar count
Max bars: clamp for the bar count (default 10)
Normalization reference length: baseline for Length scaling (default 240)
ATR Length (for ATR%): ATR lookback used for ATR%
Text:
Label font size, Table font size
Line + label colors
Bullish (slope > 0): green
Bearish (slope < 0): red
Neutral (otherwise): gray
The MA lines, end-of-series labels, and table trend cell use the same colors
Recommended presets (examples)
Intraday (e.g., BTCUSD, 1h):
Strength normalization: Length+ATR%
normRefLen: 240
Strength step: 0.02–0.05
Max bars: 10
ATR Length: 14
Daily (e.g., AAPL, 1D):
Strength normalization: Length
normRefLen: 240–480
Strength step: 0.01–0.03
Max bars: 10
Calibration tips
Bars often at max (pegged)?
Increase Strength step (e.g., 0.01 → 0.03 → 0.05)
Or increase normRefLen (e.g., 240 → 480 → 720)
Bars too few?
Decrease Strength step (e.g., 0.02 → 0.01 → 0.005)
Or decrease normRefLen (e.g., 240 → 120)
Cross-timeframe comparability:
Prefer Length+ATR%; start with Strength step ≈ 0.02–0.05 and tune
Limitations
SMA only (no EMA/WMA/etc.)
Per-bar slope is inherently timeframe-sensitive; use ATR% or Length+ATR% for better cross-timeframe comparisons
ATR modes require atrLen bars; Strength shows blank until ready
The longest SMA (4320) needs sufficient chart history
Troubleshooting
Strength always looks maxed:
You might be on Length mode with a very small step; increase Strength step and/or use Length+ATR%; review normRefLen
Strength blank cells:
In ATR modes, wait for enough history (atrLen) or switch to Length mode
Table bounds:
The script manages rows internally; if you customize periods, ensure the total rows fit the 4×16 table
Compatibility
Pine Script v6
Works on most symbols/timeframes with adequate history
If you find this useful, consider leaving feedback with your preferred defaults (symbol/timeframe) so I can provide better presets.
Free Stock ScreenerMissing great trade opportunities is annoying, and unless you have 12 screens or only trade one market, you are missing a lot of trades. To fix that, we created this free stock screener so you get notified instantly of potential great trading conditions in real time, right on your chart.
You get notified of trading benchmarks being met by the value being displayed on the scanner as well as a color change so that it grabs your attention and makes you aware that you should take a look at the other market and look for a potential trade. It also has built in alerts so you can have an alert notification go off when any of your trading conditions are met instead of needing to watch the scanner for color changes.
The screener will change the ticker symbol background color to red green when price is above or below the previous daily range and above or below both VWAPs. This signals that the ticker is trending, which typically means it is a great time to trade that market and follow the trend.
This free stock screener allows you to scan up to 10 different markets at the same time for various different conditions so you always know what is going on with your favorite trading symbols. If you want to scan more tickers, just add the indicator to your chart again and change the table position to the other side of the screen and update the tickers on the 2nd screener, allowing you to have 20 tickers at a time.
The scanner can be fully customized by changing the markets that it screens and turning on or off as many of them as you would like. You can also turn on or off any of the different data sets so that you only get information about trading conditions that matter to you.
The screener can provide data on any type of market, such as stocks, crypto, futures, forex and more. Each ticker can be adjusted to whatever market you would like it to scan for data in the settings panel, the only limitation is that it will not provide data for the VWAP and volume trend score if the ticker you are screening does not provide volume data.
Screener Features
The scanner will provide the following types of data for each ticker that is turned on:
Volume - Provides a volume score compared to the average volume and notifies you of higher than normal volume and volume spikes on individual bars by changing colors.
Volatility - Provides a volatility score compared to the average volatility and notifies you of higher than normal volatility by changing colors.
Oscillator - Choose between the RSI or CCI. The value of that oscillator will be displayed and will notify you when values are in extreme ranges such as overbought or oversold conditions according to the threshold values you enter in the settings panel. When those thresholds have been breached, you will be notified by it changing color.
Big Candles - Compares the current candle to average previous candle sizes, and changes color to notify you of big candles including a big top wick, big bottom wick, big candle body and big candle high to low range.
Daily Level Touches & Trends - Calculates and displays various daily candle and intraday open price levels that act as support and resistance. Notifies you when price is touching any of the daily levels that are turned on. The levels you can have on are as follows: previous day high, previous day low or previous day open. It also will notify you when price is touching the current day’s open, NY 930am open, Asia 8pm open, London 2am open and NY midnight 12am open. It will also say “Above” if price is above the previous day’s high or it will say “Below” if price is below the previous day’s low. The color of the cell will also change when a level touch is happening or price is above the previous day high or below the previous day low.
VWAP - Choose from 2 different VWAP lengths, default settings are daily and weekly VWAPs. You will get notified if price touches either of the VWAPs and they will also say “Above” or “Below” if price is currently above or below each VWAP.
How To Use The Screener To Help You Trade
The main purpose of the screener is to scan other markets and notify you of potential good trading opportunities such as price bouncing off of the daily levels or VWAPs. It can also be used to know when price is trending according to the VWAPs and daily levels. Lastly, you can use it to know how the volume and volatility trends are currently which gives you more confidence in taking a trade with this data when volume and volatility are present.
Volume Score
When volume is high, this represents a good time to trade because there are many market participants and price is likely to be volatile while there is high volume which can present a lot of good trade setups for you to take.
The volume score shown on the screener measures the current volume trend compared to previous volume trends and calculates that into a score based on 100 being the same as the previous volume trend. So any value above 100 means it is high volume and any value less than 100 means it is lower volume than normal.
In the settings panel, you can adjust the volume threshold that needs to be met for a volume notification to show up. The default setting is at 120, so you will get notified when the current volume trend score is 120 or higher or you can adjust that threshold value to whatever value you prefer.
It also will notify you when there is a volume spike on the current bar. This is determined by calculating an average of the recent volume totals and then checking to see if the current bar is greater than or equal to that average multiplied by 3. So if a single bar has volume that is greater than 3 times what the average volume is, then you will get a notification that says “Spike” to make you aware of that volume spike.
The volume trend threshold, volume spike multiplier and lookback length for the average volume used in volume spike calculations can all be adjusted in the settings panel to fit your desired preferences.
Volatility Score
High volatility can mean it is a great time to trade because the market is moving quickly and providing large enough movements that you can get in and out in a short amount of time, while still accruing decent sized trade PnL.
The volatility score will calculate the current volatility for each market compared to previous conditions and then divide the current volatility by the average volatility to give you a volatility score. Anything over 100 means the market is decently volatile and you should look at that market to find potential trade setups to execute on. Anything below 100 means the market is not very volatile and it is usually best to just wait until volatility returns before you start trading again.
The screener will notify you when the volatility score is above the threshold you set. The default value is set to 90, but can be adjusted to your preference. Pay attention to any market that shows an alert and take a look at that chart because the high volatility may present a good trade setup for you in the near future.
Oscillator Score
The oscillator data can be switched between Relative Strength Index(RSI) and Commodity Channel Index(CCI).
The RSI provides a value between 0 and 100 that indicates the momentum and strength of the recent price action. Many traders use the extremes of the 0-100 range to signal overbought or oversold conditions and use that as a sign to look for price to reverse in the near future. The typical values used for this and the default settings to provide notifications are: 70 for overbought and 30 for oversold. The scanner will notify you when the RSI value is considered overbought or oversold so you know to take a look at the chart and analyze if it is ready for a trade to be taken.
The CCI provides a value that can be used to determine the trend strength of the underlying asset when the oscillator moves above 100 or below -100. These extreme values are outside of the normal accumulation range and signify that price is moving strongly in that direction so it may be a good time to take a trade in the direction of the trend. The scanner will show you the value of the CCI for each market and notify you if that value is above 100 or below -100.
Both RSI and CCI settings can be adjusted in the settings panel to your desired settings so you have the exact oscillator settings you prefer to use as well as the exact values that you want to use for being notified.
Big Candles
Big candles can mean that many traders are buying or selling at the same time and many times indicate a good signal to trade in that same direction. That is why we included this calculation in the screener, so you are always aware when a large candle prints.
It calculates the average size of the recent candles and then uses that average as the benchmark to determine if the current candle is considered big and worthy of notifying you to take a look at that chart.
You can adjust the multiplier used for the big candle threshold to whatever you desire, but the default setting is 3 which means the candle will be considered big and notify you if it is 3 times as large as an average candle.
The big candles data will track the following candle values and notify you with these labels:
High to Low candle size = HL
Candle Body from open to close candle size = OC
Top Wick size = TW
Bottom Wick size = BW
Daily Level Touches & Trend
Daily level touches are excellent levels to watch for price to bounce because they often act as support and resistance levels for intraday trading. The scanner will track each market and notify you when the current candle is touching any of the daily levels that you have turned on in the settings panel.
The main levels that are turned on by default and are useful for all markets and how they will be labeled on the scanner are as follows:
Previous Day High = High
Previous Day Low = Low
Previous Day Open = < Open
Previous Day Close = Close
Current Day Open = Open
We also included some extra levels that are useful for futures traders. They are as follows:
NY 930am Open = 930am
NY 12am Midnight Open = 12am
Asia Open at 8pm NY time = Asia
London Open at 2am NY Time = London
Watch how price reacts to these levels and then trade the bounces off of these levels if the price action confirms that it is going to respect that level.
When price is currently above the previous day high, the scanner will say “Above” and show a green color, indicating a bullish trend and that price is above the previous daily candle’s high.
When price is currently below the previous day low, the scanner will say “Below” and show a red color, indicating a bearish trend and that price is below the previous daily candle’s low.
Pay attention to when price is trending above or below the previous daily candle as those trends can provide excellent trend trading opportunities.
The daily levels that you have turned on in the settings will also show as lines on the chart and include a label next to them, identifying each level so you know what each line represents. You can turn on or off all of the lines shown on the chart in the main settings or turn them off one by one in the style panel of the settings. Labels can also be turned on or off for all of the lines in the main settings panel. You can adjust the label positioning in the Label Offset section of the settings panel.
VWAP Touches & Trend
VWAP stands for volume weighted average price and is a very popular tool that traders use to determine trend direction based on volume as well as an excellent level to trade price bounces off of.
The typical VWAP time period used is Daily, which means the volume weighted average price will reset at the beginning of a new day. We set the first VWAP to be the daily VWAP by default and the second one to be the weekly VWAP. You can adjust both of the time periods to be any of the provided time lengths that you choose.
The screener will show “Above” with a green background color when price is above the VWAP, indicating a bullish trend. It will show “Below” with a red background color when price is below the VWAP, indicating a bearish trend. When both VWAPs are showing Above or Below, you can expect price to trend in that direction, so look for pullbacks you can trade in the direction of the trend. If the VWAPs are showing different directions, then you should expect to bounce back and forth between the VWAPs, but be careful and watch out for price to break beyond either one and start a trend.
When the current candle is touching the VWAP, the scanner will change colors and say VWAP to notify you that price is touching the VWAP and you should look at that chart and analyze the market for a potential bounce off of the VWAP to trade.
Trending Market Signals
Strong trends are excellent markets to trade and can many times provide excellent trading opportunities that don’t require expert price action reading skills to be able to take winning trades from. That is why we included a signal to notify you of a strong trending market.
The strong trending market will show up as a green or red background color for the ticker name. If the color of the ticker name is green, it is notifying you that the price is above the previous daily high, above VWAP 1 and above VWAP 2 and is a good market to look for bullish trend trades. If the color of the ticker name is red, it is notifying you that the price is below the previous daily low, below VWAP 1 and below VWAP 2 and is a good market to look for bearish trend trades.
Changing The Tickers It Scans
To change the tickers that the indicator scans, scroll near the bottom of the settings panel and select the ticker symbol you want to update and then search for the exact symbol you want to use. If you want to scan less tickers, then just turn some of the tickers off that you don’t need.
Scanning More Than 10 Tickers
If you want to scan more than 10 tickers, you can add the scanner to your chart again and then just change the table position to the other side of the screen. This will allow you to scan 10 more tickers that will show up separately. Then if you want even more, just add the indicator to your chart again and update the table position until you have as many markets as you want. The table position setting can be found at the bottom of the main settings panel.
Alerts
The screener has alerts that can be used to notify you when any of the data set thresholds have been met or if price is touching one of the levels. You can set alerts for the following events:
Bullish Trend Alert - Price is above the previous daily high and above both VWAPs.
Bearish Trend Alert - Price is below the previous daily low and below both VWAPs.
High Volume Alert - Volume is higher than the threshold or a volume spike is detected.
High Volatility Alert - Volatility is higher than the threshold.
Oscillator Is Extended Alert - Oscillator value has exceeded the upper or lower threshold.
Big Candle Alert - A big candle has been detected.
Daily Level Touch Alert - One of the daily levels that is turned on is being touched.
VWAP Touch Alert - One of the 2 VWAPs are being touched.
An alert will trigger when any one of tickers on your scanner meets the alert conditions, so when you see the alert, you will need to go to your chart and look at the scanner to see which ticker it was and then navigate to that chart to look for potential trade setups.
The alerts will use the exact same settings you have configured in the settings panel to send you alert notifications. With normal settings, this could give you a lot of alerts, so if you only want alerts to fire when abnormal conditions are being met, try setting up a second screener on your chart that has very high threshold values and only has the most important level touches on. Then turn the setting "Do Not Show The Screener On The Chart" to off so the calculations will still run and fire alerts, but won't clog up your charts. This way you can only get alert notifications when major events happen but still have your normal screener settings available on your chart.
Markets This Can Be Used On
This screener uses the price action and volume data so you can use it to scan any type of market you would like as long as the ticker you are scanning has price and volume data feeds. If a market does not have volume data, then it will just show NaN in the volume row and the VWAP rows will not show anything.
ICT Killzones & MacrosICT Killzones & Macros (v1.1.5) — configurable ICT session windows + refined “macro” windows with live High/Low levels, optional extensions, next-window previews, and lightweight opening-price lines. Built to be clock-robust, timezone-aware, and performant on intraday charts.
Tip: All times are interpreted in your chosen IANA timezone (default: America/New_York) and auto-handle DST. You can rename, recolor, enable/disable, and retime every window.
What it plots
- Killzones (5) : Asia (19:00–02:00), London (02:00–05:00), NY AM (07:00–09:30), London Close (10:00–12:00), NY PM (13:30–16:00) — full-height boxes with optional header.
- Macros (8) (defaults tailored for common ICT “refined” windows): Asia-1 (18:00–21:00), Asia-2 (21:00–00:00), London-1 (01:00–04:00), AM-1 (09:45–10:15), AM-2 (10:45–11:15), Lunch (12:00–13:00), PM-1 (13:30–14:30), Power Hour (15:10–16:00).
- Live High/Low lines for the current Macro/Killzone window.
- Optional HL extension to the right until price crosses or the trading day rolls (style selectable).
- “Next” previews : earliest upcoming Macro and Killzone header; optional next-window background band.
- Opening Prices (3 lightweight time lines) : defaults 00:00, 08:30, 09:30 with right-edge labels, scoped to a session you choose (auto-cleans at session end).
- Key inputs & styling
- General : Timezone (IANA), “Sessions to show” (per window) to keep only the last N completed windows.
- Header : height (ticks), gap (ticks), fill opacity, border width/style, text size/color, toggle “Next Macro/Killzone” headers.
- Boxes : global fill opacity, global border width/style (used by both Macros & Killzones).
- High/Low : show HL, HL line style, extend on/off + extension style, optional extension labels.
- Opening Prices : enable Time 1/2/3, set HH:MM for each, session window, per-line colors, style (dotted/dashed/solid), width.
- Per-window controls : each Macro/Killzone has Enable, Session (HHMM-HHMM), Label, Fill color.
How to use (quick start)
- Set Timezone to your preference (default America/New_York).
- Toggle on the Macros and Killzones you trade. Adjust session times if needed.
- (Optional) Turn on Extend High/Low to project levels until crossed/day-roll.
- (Optional) Enable Next… headers to see the next upcoming window at a glance.
- (Optional) Configure Opening Prices (00:00 / 08:30 / 09:30 by default) and the session over which they appear.
Behavior & notes
- Time windows are computed by clock, not by guessing bar timestamps, making them robust across brokers and timeframes.
- With HL extension on, the current window’s levels extend until crossed or the end of the trading day (in your timezone). With it off, completed windows keep static HL markers (limited by “Sessions to show”).
- “Sessions to show” applies per Macro/Killzone to automatically prune older windows and keep charts snappy.
- Opening-price lines exist only within the chosen “Opening Prices Session” and are removed when it ends (keeps charts clean).
Defaults (color cues)
Killzones: Asia (blue), London (purple), NY AM (green), London Close (yellow), NY PM (orange).
Macros: neutral greys with Lunch and PM accents out of the box (all customizable).
Performance tips
- Reduce “Sessions to show” if you scroll far back in history.
- Disable “Next…” previews and/or extension labels on very slow machines.
- Narrow the “Opening Prices Session” window to exactly when you need those lines.
Changelog highlights
- v1.1.5 : Internal refinements and stability.
- v1.1.3 : Live High/Low lines for current windows + optional extension.
- v1.1.2 : Added “next Killzone” preview (to match “next Macro”).
- v1.1.0 : Defaults updated (5 KZ, 8 Macros). Removed “snap-to-killzone” behavior.
- v1.0.0 : Independent Macro vs. Killzone rendering; cleaner header logic.
- Known limitations
If your chart warns about drawings, trim “Sessions to show”.
If your broker session times differ from NY hours, adjust the sessions or change the indicator timezone.
Credits & intent
Inspired by ICT timing concepts; provided for education/mark-up, not financial advice.
Built to be flexible so you can mirror your personal playbook and journaling workflow.
Adaptive Trend Breaks Adaptive Trend Breaks
## WHAT IT DOES
This script is a modified and enhanced version of "Trendline Breakouts With Targets" concept by ChartPrime.
Adaptive Trend Breaks (ATB) is a trendline breakout system optimized for scalping liquid futures contracts. The indicator automatically draws dynamic support and resistance trendlines based on pivot points, then generates trade signals when price breaks through these levels with confirmation filters. It includes automated target and stop-loss placement with real-time P&L tracking in dollars.
## HOW IT WORKS
**Trendline Detection Method:**
The indicator uses pivot high/low detection to identify significant price turning points. When a new pivot forms, it calculates the slope between consecutive pivots to draw dynamic trendlines. These lines extend forward based on the established trend angle, creating actionable support and resistance zones.
**Band System:**
Around each trendline, the script creates a "band" using a volatility-adjusted calculation: `ATR(14) * 0.2 * bandwidth multiplier / 2`. This adaptive band accounts for current market conditions - wider during volatile periods, tighter during quiet markets.
**Breakout Logic:**
A breakout signal triggers when:
1. Price closes beyond the trendline + band zone
2. Volume exceeds the 20-period moving average by your set multiplier (default 1.2x)
3. Price is within Regular Trading Hours (9:30-16:00 EST) if session filter enabled
4. Current ATR meets minimum volatility threshold (prevents trading dead markets)
**Target & Stop Calculation:**
Upon breakout confirmation:
- **Entry**: Trendline breach point
- **Target**: Entry ± (bandwidth × target multiplier) - default 8x for quick scalps
- **Stop**: Entry ± (bandwidth × stop multiplier) - default 8x for 1:1 risk/reward
- Multipliers adjust automatically to market volatility through the ATR-based band
**P&L Conversion:**
The script converts point movements to dollars using:
```
Dollar P&L = (Price Points × Contract Point Value × Quantity)
```
For example, a 10-point NQ move with 2 contracts = 10 × $20 × 2 = $400
## HOW TO USE IT
**Setup:**
1. Select your instrument (NQ/ES/YM/RTY) - point values auto-configure
2. Set contract quantity for accurate dollar P&L
3. Choose pivot period (lower = more signals but more noise, default 5 for scalping)
4. Adjust bandwidth multiplier if trendlines are too tight/loose (1-5 range)
**Filters Configuration:**
- **Volume Filter**: Requires breakout volume > moving average × multiplier. Increase multiplier (1.5-2.0) for higher conviction trades
- **Session Filter**: Enable to trade only RTH. Disable for 24-hour trading
- **ATR Filter**: Prevents signals during low volatility. Increase minimum % for more active markets only
**Risk Management:**
- Set target/stop multipliers based on your risk tolerance
- 8x bandwidth = approximately 1:1 risk/reward for most liquid futures
- Enable trailing stops for trend-following approach (moves stop to protect profits)
- Adjust line length to see targets further into the future
**Statistics Table:**
- Choose timeframe to analyze: all-time, today, this week, custom days
- Monitor win rate, profit factor, and net P&L in dollars
- Track long vs short performance separately
- See real-time unrealized P&L on active trades
**Reading Signals:**
- **Green triangle below bar** = Long breakout (resistance broken)
- **Red triangle above bar** = Short breakout (support broken)
- **White dashed line** = Entry price
- **Orange line** = Take profit target with dollar value
- **Red line** = Stop loss with dollar value
- **Green checkmark (✓)** = Target hit, winning trade
- **Red X (✗)** = Stop hit, losing trade
## WHAT IT DOES NOT DO
**Limitations to Understand:**
- Does not predict future trendline formations - it reacts to breakouts after they occur
- Historical trendlines disappear after breakout (not kept on chart for clarity)
- Requires sufficient volatility - may not signal in extremely quiet markets
- Volume filter requires exchange volume data (not available on all symbols)
- Statistics are indicator-based simulations, not actual trading results
- Does not account for slippage, commissions, or order fills
## BEST PRACTICES
**Recommended Settings by Market:**
- **NQ (Nasdaq)**: Default settings work well, consider volume multiplier 1.3-1.5
- **ES (S&P 500)**: Slightly slower, try period 7-8, volume 1.2
- **YM (Dow)**: Lower volatility, reduce bandwidth to 1.5-2
- **RTY (Russell)**: Higher volatility, increase bandwidth to 3-4
**Risk Management:**
- Never risk more than 2-3% of account per trade
- Use contract quantity calculator: Max Risk $ ÷ (Stop Distance × Point Value)
- Start with 1 contract while learning the system
- Backtest your specific timeframe and instrument before live trading
**Optimization Tips:**
- Increase pivot period (7-10) for fewer but higher-quality signals
- Raise volume multiplier (1.5-2.0) in choppy markets
- Lower target/stop multipliers (5-6x) for tighter profit taking
- Use trailing stops in strong trending conditions
- Disable session filter for overnight gaps and Asia session moves
## TECHNICAL DETAILS
**Key Calculations:**
- Pivot Detection: `ta.pivothigh(high, period, period/2)` and `ta.pivotlow(low, period, period/2)`
- Slope Calculation: `(newPivot - oldPivot) / (newTime - oldTime)`
- Adaptive Band: `min(ATR(14) * 0.2, close * 0.002) * multiplier / 2`
- Breakout Confirmation: Price crosses trendline + 10% of band threshold
**Data Requirements:**
- Minimum bars in view: 500 for proper pivot calculation
- Volume data required for volume filter accuracy
- Intraday timeframes recommended (1min - 15min) for scalping
- Works on any timeframe but optimized for fast execution
**Performance Metrics:**
All statistics calculate based on indicator signals:
- Tracks every signal as a trade from entry to TP/SL
- P&L in actual contract dollar values
- Win rate = (Winning trades / Total trades) × 100
- Profit factor = Gross profit / Gross loss
- Separates long/short performance for bias analysis
## IDEAL FOR
- Futures scalpers and day traders
- Traders who prefer visual trendline breakouts
- Those wanting automated TP/SL placement
- Traders tracking performance in dollar terms
- Multiple timeframe analysis (compare 1min vs 5min signals)
## NOT SUITABLE FOR
- Swing trading (targets too close)
- Stocks/forex without modifying point values
- Extremely low timeframes (<30 seconds) - too much noise
- Markets without volume data if using volume filter
- Illiquid contracts (signals may not execute at shown prices)
---
**Settings Summary:**
- Core: Period, bandwidth, extension, trendline style
- Filters: Volume, RTH session, ATR volatility
- Risk: R:R ratio, target/stop multipliers, trailing stop
- Display: Stats table position, size, colors
- Stats: Timeframe selection (all-time to custom days)
**License:** This indicator is published open-source under Mozilla Public License 2.0. You may use and modify the code with proper attribution.
**Disclaimer:** This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and test thoroughly before live trading.
---
## CREDITS & ATTRIBUTION
This script builds upon the "Trendline Breakouts With Targets" concept by ChartPrime with significant enhancements:
**Major Improvements Added:**
- **Futures-Specific Calculations**: Automated dollar P&L conversion using actual contract point values (NQ=$20, ES=$50, YM=$5, RTY=$50)
- **Advanced Statistics Engine**: Comprehensive performance tracking with customizable timeframe analysis (today, week, month, custom ranges)
- **Multi-Layer Filtering System**: Volume confirmation, RTH session filter, and ATR volatility filter to reduce false signals
- **Professional Trade Management**: Enhanced visual trade tracking with separate TP/SL lines, dollar value labels, and optional trailing stops
- **Optimized for Scalping**: Faster pivot periods (5 vs 10), tighter bands, and reduced extension bars for quick entries
Original trendline detection methodology by ChartPrime - used with modification under Mozilla Public License 2.0.
1m Scalping ATR (with SL & Zones)A universal ATR indicator that anchors volatility to your stop-loss.
Read any market (FX, JPY pairs, Gold/Silver, indices, crypto) consistently—regardless of pip/point conventions and timeframe.
Why this indicator?
Classic ATR is absolute (pips/points) and feels different across markets/TFs. ATR Takeoff normalizes ATR to your stop-loss in pips and highlights clear zones for “quiet / ideal / too volatile,” so you instantly know if a 10-pip SL fits current conditions.
Key features
Auto pip detection (FX, JPY, XAU/XAG, indices, BTC/ETH).
Selectable ATR source: chart timeframe or fixed ATR TF (e.g., “15”, “30”, “60”).
Display modes:
Percent of SL – ATR relative to SL in %, great for M1 (typical 10–30%).
Multiple of SL – ATR as a multiple of SL (e.g., 0.6× / 1.0× / 1.2×).
Panel zones:
Green = “Ready for takeoff” (≤ Low), Yellow = reference (Mid), Red = too volatile (≥ High).
Status badge (top-right): Quiet / ATR ok / Wild, current ATR/SL value, ATR TF used.
Direction-agnostic: Works the same for longs and shorts.
Inputs (at a glance)
Length / Smoothing (RMA/SMA/EMA/WMA): ATR base settings.
Your Stop-Loss (Pips): Reference SL (e.g., 10).
ATR Timeframe (empty = chart): Use chart TF or a fixed TF.
Display Mode: “Percent of SL” or “Multiple of SL.”
Low/Mid/High (Percent Mode): Zone thresholds in % of SL.
Low/Mid/High (Multiple Mode): Zone thresholds in ×SL.
Recommended defaults
Length 14, Smoothing RMA, SL 10 pips
Display Mode: Percent of SL
Low/Mid/High (%): 15 / 20 / 25
ATR Timeframe: empty (= chart) for reactive, or “30” for smoother M30 context with M1 entries.
How to use
Set SL (pips). 2) Choose display mode. 3) Optionally pick ATR TF.
Interpretation:
≤ Low (green): setups allowed.
≈ Mid (yellow): neutral reference.
≥ High (red): too volatile → adjust SL/size or wait.
Note: Auto-pip relies on common ticker naming; verify on exotic symbols.
Disclaimer: For research/education. Not financial advice.
TURT Donchian Ladder v3.13How to trade TURT+ with the v3.13 script
1) Pick the system & arm the entry
• In the script, choose System = S1 (20D) or S2 (55D).
The HUD always shows both rails for reference, but the ladder (Entry/+Adds) uses the system you pick.
• Your Entry is shown as Pivot + 0.1×N (rounded).
• Place a stop-limit “parent” order at that Entry price. (Classic Turtle uses an entry stop; I suggest a tight limit offset so you don’t chase a blow-through.)
• Initial stop = N2 = Entry − 2×N (rounded). Put that in immediately.
If you like only confirming on a bar close, leave confirmClose = true and place the parent after the close that breaks out. If you want intrabar fills, set confirmClose = false and keep the stop-limit active intraday.
2) Size it the way you planned
• Set acctEquity / riskCapPct / posCapUSD / entryFrac / entryRiskFrac / sizingMode.
• HUD gives Rec Entry Qty (when flat) and, once in, it shows:
• Next Rung (price)
• Suggested AddShares (honors RiskCap & PosCap)
• Proj Stop if Add (ratcheted N2)
• A limiter note (RiskCap or PosCap) if you’re constrained.
3) After entry fills, stage the ADDs (only at fixed +N steps)
• Adds are NOT “every Donchian break.” You add only at:
• Add-1 = Entry + 0.5×N
• Add-2 = Entry + 1.0×N
• Add-3 = Entry + 1.5×N (optional)
• Use the HUD’s Suggested AddShares for each rung (it respects your RiskCap/PosCap).
• Place stop-limit orders for each add (either immediately as a contingent OTO chain that arms only after Entry fills, or you arm each add when price approaches—your choice).
• On each add fill, ratchet the catastrophic stop for the entire position to Last-Add − 2×N (the script and HUD show Proj Stop if Add so you know where it will land). Never move it lower.
Pro tip: If your broker supports OTO/OTOCO:
• OTO parent = Entry stop-limit.
• On fill, fire an OCO with the N2 stop (no target), and also stage child stop-limits for Add-1 / Add-2 / Add-3 with the correct sizes. If your broker can’t chain that deep, just use the script’s alerts (Entry/Add-1/Add-2/Add-3/Exits) to place/adjust orders quickly.
4) Exits (two layers)
• Catastrophic (always on): the N2 stop you’re ratcheting (Last-Add − 2×N).
• Trend exits (runner):
• S1: 10-low close (HUD shows it).
• S2: 20-low close (HUD shows it).
• Profit-taking (optional): sell ~50% at +2.5R to +3R vs current N2; let the runner trail with 10-low/20-low. You can keep N2 as a hard backstop.
5) Should you pre-set everything or buy live?
Both work; pick the style that fits you:
Preset (Turtle-pure, rules-based)
• ✅ You won’t miss the breakout; minimal discretion.
• ✅ Broker handles fills even if you’re away.
• ⚠️ You may get the occasional intraday “poke” (use confirmClose + place after close if you want fewer).
Buy on break manually
• ✅ Lets you check tape/volume or any extra gates before clicking.
• ⚠️ Higher chance of slippage or of simply missing the trigger.
A nice hybrid: place the Entry order, then arm Add-1/2/3 when price is nearing each rung and the HUD shows Suggested AddShares > 0 (green risk read).
⸻
6) Quick checklist per trade
1. System: S1 or S2?
2. Levels: Entry / Add-1 / Add-2 / Add-3 / 10-low / 20-low / N2 (rounded).
3. Sizing: confirm RiskCap/PosCap; HUD shows Suggested AddShares and limiter.
4. Orders:
• Parent Entry stop-limit.
• N2 stop (rounded).
• Stage adds (stop-limits) with sizes from HUD.
5. On fill: ratchet stop to Last-Add − 2×N; adjust remaining adds and sizes.
⸻
7) Example with your MU position (pattern)
• You’re already in: set entryQty and entryPman in the inputs to match your fill.
• HUD now focuses on Next Rung, Suggested AddShares, and Proj Stop if Add.
• If Suggested AddShares = 0 and limiter says RiskCap or PosCap, you’ll still see the next rung price and Proj Stop if Add so you can decide whether to override.
⸻
Bottom line
• Entry: buy the Donchian breakout + 0.1N with a stop-limit (Turtle style).
• Adds: only at +0.5N steps, sized by HUD; not on every future Donchian break.
• Stops: keep (and ratchet) the N2 catastrophic; trail runner on 10-low / 20-low.
If you want, tell me your broker/platform and I’ll map this to exact order ticket types (stop-limit/OTO/OCO) and a tiny checklist you can keep next to your screen.
Swing Guardrail — 30-sec Midterm Check (EBITDA Margin & EV/EBITDWhat it does
Before a short-term swing entry, this indicator right-sizes positions by a quick midterm (3–12m) durability screen using two fundamentals:
EBITDA Margin (TTM) → earning power / operational resilience
EV/EBITDA (TTM) → price tag vs earning capacity (payback feel)
A high-contrast table (top-right) shows both metrics and a verdict:
PASS — both meet thresholds → normal size
HALF — only one meets → reduce size
FAIL — neither meets → avoid
Why check “midterm” for a short-term trade?
Short swings still face earnings/news gaps, failed breakouts, and regime shifts. Names with weak margins or stretched valuation tend to break faster and deeper. A 30-sec durability check helps you:
Filter fragile setups (avoid expensive + weakening names)
Stabilize drawdowns (size down when quality/price don’t align)
Keep timing unchanged while improving risk-adjusted returns
Inputs (defaults)
Min EBITDA Margin % (TTM): 8%
Max EV/EBITDA (TTM): 12
Dark chart? High-contrast colors
How to use with a swing system
Get your entry from price/volume (e.g., Ichimoku cloud break, Kijun reclaim, Tenkan>Kijun; or your A/B/C rules).
Run this check only to set size (not timing).
Optional alerts: Once per bar close for PASS / HALF / FAIL.
Size mapping & event guard
PASS → 100% of your planned size
HALF → ~50% size / tighter stops
FAIL → watchlist only
If earnings < ~10 JP business days, drop one tier; ≤3 days → avoid.
Sector guides (tweak as needed)
Software/Internet: Margin ≥ 15%, EV/EBITDA ≤ 18
Industrials/Consumer: Margin ≥ 8%, EV/EBITDA ≤ 12
Retail: Margin ≥ 5–7%, EV/EBITDA ≤ 10–12
Edge cases / substitutions
Banks/Insurers/REITs or net-cash/negative EBITDA: EV/EBITDA may mislead → consider Net Debt/EBITDA or sector metrics (CET1/LTV/DSCR).
Sparse data / fresh listings: numbers may be NA until updates.
Notes & limitations
Data via request.financial() (TTM/most-recent). Some tickers/regions can show NA until fundamentals refresh.
This is a risk-screen / sizing tool, not a buy/sell signal.
Disclaimer
Educational use only. Not investment advice.
日本語
タイトル
スイング用ガードレール―中期“壊れにくさ”30秒チェック（EBITDAマージン & EV/EBITDA, TTM）
概要
短期スイングのエントリー前に、中期（3〜12か月）の耐久性を2指標で素早く確認し、ポジションサイズを決めるためのツールです。
EBITDAマージン（TTM）：事業の稼ぐ力・体力
EV/EBITDA（TTM）：その体力に対する“値札”（回収年数の感覚）
右上の高コントラスト表に数値と判定を表示：
PASS：両方クリア → 通常サイズ
HALF：片方のみ → サイズ半分
FAIL：両方NG → 見送り
なぜ短期でも“中期”を確認？
短期でも決算・ニュースのギャップ、ブレイク失敗、地合い転換は起きます。マージンが弱い／割高すぎる銘柄は崩れやすく、戻りも鈍い傾向。30秒の耐久性チェックで
脆いセットアップを回避
ドローダウンを平準化（サイズで吸収）
タイミングは変えずに、リスク調整後リターンの改善を狙えます。
入力（既定）
最低EBITDAマージン：8%
最大EV/EBITDA：12
黒背景向け：高コントラスト表示
使い方（スイング手法と併用）
まずは価格シグナル（一目の雲上抜け／基準線回復／転換線>基準線、またはA/B/Cルール）。
本インジの判定でサイズのみ決定（エントリーのタイミングは出しません）。
任意でバー確定アラート（PASS/HALF/FAIL）を設定。
サイズ目安 & イベント抑制
PASS：計画サイズ100%
HALF：約50%（ストップもタイトに）
FAIL：見送り
決算まで≦10営業日なら1段階サイズダウン、≦3営業日は原則見送り。
セクター目安（調整推奨）
ソフト/ネット：マージン 15%以上、EV/EBITDA 18以下
工業/一般消費：マージン 8%以上、EV/EBITDA 12以下
小売：マージン 5〜7%以上、EV/EBITDA 10〜12以下
例外・代替
銀行・保険・REIT／ネットキャッシュ・EBITDAマイナス：EV/EBITDAは適さない場合 → Net Debt/EBITDAやCET1/LTV/DSCR等で補助。
新規上場・データ薄：更新までNAのことあり。
注意
データは request.financial() を使用。更新前はNAの可能性。
本ツールはリスク確認／サイズ調整用で、売買シグナルではありません。
免責
情報提供のみ。投資判断は自己責任で。
Martingale Strategy Simulator [BackQuant]Martingale Strategy Simulator
Purpose
This indicator lets you study how a martingale-style position sizing rule interacts with a simple long or short trading signal. It computes an equity curve from bar-to-bar returns, adapts position size after losing streaks, caps exposure at a user limit, and summarizes risk with portfolio metrics. An optional Monte Carlo module projects possible future equity paths from your realized daily returns.
What a martingale is
A martingale sizing rule increases stake after losses and resets after a win. In its classical form from gambling, you double the bet after each loss so that a single win recovers all prior losses plus one unit of profit. In markets there is no fixed “even-money” payout and returns are multiplicative, so an exact recovery guarantee does not exist. The core idea is unchanged:
Lose one leg → increase next position size
Lose again → increase again
Win → reset to the base size
The expectation of your strategy still depends on the signal’s edge. Sizing does not create positive expectancy on its own. A martingale raises variance and tail risk by concentrating more capital as a losing streak develops.
What it plots
Equity – simulated portfolio equity including compounding
Buy & Hold – equity from holding the chart symbol for context
Optional helpers – last trade outcome, current streak length, current allocation fraction
Optional diagnostics – daily portfolio return, rolling drawdown, metrics table
Optional Monte Carlo probability cone – p5, p16, p50, p84, p95 aggregate bands
Model assumptions
Bar-close execution with no slippage or commissions
Shorting allowed and frictionless
No margin interest, borrow fees, or position limits
No intrabar moves or gaps within a bar (returns are close-to-close)
Sizing applies to equity fraction only and is capped by your setting
All results are hypothetical and for education only.
How the simulator applies it
1) Directional signal
You pick a simple directional rule that produces +1 for long or −1 for short each bar. Options include 100 HMA slope, RSI above or below 50, EMA or SMA crosses, CCI and other oscillators, ATR move, BB basis, and more. The stance is evaluated bar by bar. When the stance flips, the current trade ends and the next one starts.
2) Sizing after losses and wins
Position size is a fraction of equity:
Initial allocation – the starting fraction, for example 0.15 means 15 percent of equity
Increase after loss – multiply the next allocation by your factor after a losing leg, for example 2.00 to double
Reset after win – return to the initial allocation
Max allocation cap – hard ceiling to prevent runaway growth
At a high level the size after k consecutive losses is
alloc(k) = min( cap , base × factor^k ) .
In practice the simulator changes size only when a leg ends and its PnL is known.
3) Equity update
Let r_t = close_t / close_{t-1} − 1 be the symbol’s bar return, d_{t−1} ∈ {+1, −1} the prior bar stance, and a_{t−1} the prior bar allocation fraction. The simulator compounds:
eq_t = eq_{t−1} × (1 + a_{t−1} × d_{t−1} × r_t) .
This is bar-based and avoids intrabar lookahead. Costs, slippage, and borrowing costs are not modeled.
Why traders experiment with martingale sizing
Mean-reversion contexts – if the signal often snaps back after a string of losses, adding size near the tail of a move can pull the average entry closer to the turn
Behavioral or microstructure edges – some rules have modest edge but frequent small whipsaws; size escalation may shorten time-to-recovery when the edge manifests
Exploration and stress testing – studying the relationship between streaks, caps, and drawdowns is instructive even if you do not deploy martingale sizing live
Why martingale is dangerous
Martingale concentrates capital when the strategy is performing worst. The main risks are structural, not cosmetic:
Loss streaks are inevitable – even with a 55 percent win rate you should expect multi-loss runs. The probability of at least one k-loss streak in N trades rises quickly with N.
Size explodes geometrically – with factor 2.0 and base 10 percent, the sequence is 10, 20, 40, 80, 100 (capped) after five losses. Without a strict cap, required size becomes infeasible.
No fixed payout – in gambling, one win at even odds resets PnL. In markets, there is no guaranteed bounce nor fixed profit multiple. Trends can extend and gaps can skip levels.
Correlation of losses – losses cluster in trends and in volatility bursts. A martingale tends to be largest just when volatility is highest.
Margin and liquidity constraints – leverage limits, margin calls, position limits, and widening spreads can force liquidation before a mean reversion occurs.
Fat tails and regime shifts – assumptions of independent, Gaussian returns can understate tail risk. Structural breaks can keep the signal wrong for much longer than expected.
The simulator exposes these dynamics in the equity curve, Max Drawdown, VaR and CVaR, and via Monte Carlo sketches of forward uncertainty.
Interpreting losing streaks with numbers
A rough intuition: if your per-trade win probability is p and loss probability is q=1−p , the chance of a specific run of k consecutive losses is q^k . Over many trades, the chance that at least one k-loss run occurs grows with the number of opportunities. As a sanity check:
If p=0.55 , then q=0.45 . A 6-loss run has probability q^6 ≈ 0.008 on any six-trade window. Across hundreds of trades, a 6 to 8-loss run is not rare.
If your size factor is 1.5 and your base is 10 percent, after 8 losses the requested size is 10% × 1.5^8 ≈ 25.6% . With factor 2.0 it would try to be 10% × 2^8 = 256% but your cap will stop it. The equity curve will still wear the compounded drawdown from the sequence that led to the cap.
This is why the cap setting is central. It does not remove tail risk, but it prevents the sizing rule from demanding impossible positions
Note: The p and q math is illustrative. In live data the win rate and distribution can drift over time, so real streaks can be longer or shorter than the simple q^k intuition suggests..
Using the simulator productively
Parameter studies
Start with conservative settings. Increase one element at a time and watch how the equity, Max Drawdown, and CVaR respond.
Initial allocation – lower base reduces volatility and drawdowns across the board
Increase factor – set modestly above 1.0 if you want the effect at all; doubling is aggressive
Max cap – the most important brake; many users keep it between 20 and 50 percent
Signal selection
Keep sizing fixed and rotate signals to see how streak patterns differ. Trend-following signals tend to produce long wrong-way streaks in choppy ranges. Mean-reversion signals do the opposite. Martingale sizing interacts very differently with each.
Diagnostics to watch
Use the built-in metrics to quantify risk:
Max Drawdown – worst peak-to-trough equity loss
Sharpe and Sortino – volatility and downside-adjusted return
VaR 95 percent and CVaR – tail risk measures from the realized distribution
Alpha and Beta – relationship to your chosen benchmark
If you would like to check out the original performance metrics script with multiple assets with a better explanation on all metrics please see
Monte Carlo exploration
When enabled, the forecast draws many synthetic paths from your realized daily returns:
Choose a horizon and a number of runs
Review the bands: p5 to p95 for a wide risk envelope; p16 to p84 for a narrower range; p50 as the median path
Use the table to read the expected return over the horizon and the tail outcomes
Remember it is a sketch based on your recent distribution, not a predictor
Concrete examples
Example A: Modest martingale
Base 10 percent, factor 1.25, cap 40 percent, RSI>50 signal. You will see small escalations on 2 to 4 loss runs and frequent resets. The equity curve usually remains smooth unless the signal enters a prolonged wrong-way regime. Max DD may rise moderately versus fixed sizing.
Example B: Aggressive martingale
Base 15 percent, factor 2.0, cap 60 percent, EMA cross signal. The curve can look stellar during favorable regimes, then a single extended streak pushes allocation to the cap, and a few more losses drive deep drawdown. CVaR and Max DD jump sharply. This is a textbook case of high tail risk.
Strengths
Bar-by-bar, transparent computation of equity from stance and size
Explicit handling of wins, losses, streaks, and caps
Portable signal inputs so you can A–B test ideas quickly
Risk diagnostics and forward uncertainty visualization in one place
Example, Rolling Max Drawdown
Limitations and important notes
Martingale sizing can escalate drawdowns rapidly. The cap limits position size but not the possibility of extended adverse runs.
No commissions, slippage, margin interest, borrow costs, or liquidity limits are modeled.
Signals are evaluated on closes. Real execution and fills will differ.
Monte Carlo assumes independent draws from your recent return distribution. Markets often have serial correlation, fat tails, and regime changes.
All results are hypothetical. Use this as an educational tool, not a production risk engine.
Practical tips
Prefer gentle factors such as 1.1 to 1.3. Doubling is usually excessive outside of toy examples.
Keep a strict cap. Many users cap between 20 and 40 percent of equity per leg.
Stress test with different start dates and subperiods. Long flat or trending regimes are where martingale weaknesses appear.
Compare to an anti-martingale (increase after wins, cut after losses) to understand the other side of the trade-off.
If you deploy sizing live, add external guardrails such as a daily loss cut, volatility filters, and a global max drawdown stop.
Settings recap
Backtest start date and initial capital
Initial allocation, increase-after-loss factor, max allocation cap
Signal source selector
Trading days per year and risk-free rate
Benchmark symbol for Alpha and Beta
UI toggles for equity, buy and hold, labels, metrics, PnL, and drawdown
Monte Carlo controls for enable, runs, horizon, and result table
Final thoughts
A martingale is not a free lunch. It is a way to tilt capital allocation toward losing streaks. If the signal has a real edge and mean reversion is common, careful and capped escalation can reduce time-to-recovery. If the signal lacks edge or regimes shift, the same rule can magnify losses at the worst possible moment. This simulator makes those trade-offs visible so you can calibrate parameters, understand tail risk, and decide whether the approach belongs anywhere in your research workflow.
Live Market - Performance MonitorLive Market — Performance Monitor
Study material (no code) — step-by-step training guide for learners
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1) What this tool is — short overview
This indicator is a live market performance monitor designed for learning. It scans price, volume and volatility, detects order blocks and trendline events, applies filters (volume & ATR), generates trade signals (BUY/SELL), creates simple TP/SL trade management, and renders a compact dashboard summarizing market state, risk and performance metrics.
Use it to learn how multi-factor signals are constructed, how Greeks-style sensitivity is replaced by volatility/ATR reasoning, and how a live dashboard helps monitor trade quality.
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2) Quick start — how a learner uses it (step-by-step)
1. Add the indicator to a chart (any ticker / timeframe).
2. Open inputs and review the main groups: Order Block, Trendline, Signal Filters, Display.
3. Start with defaults (OB periods ≈ 7, ATR multiplier 0.5, volume threshold 1.2) and observe the dashboard on the last bar.
4. Walk the chart back in time (use the last-bar update behavior) and watch how signals, order blocks, trendlines, and the performance counters change.
5. Run the hands-on labs below to build intuition.
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3) Main configurable inputs (what you can tweak)
• Order Block Relevant Periods (default ~7): number of consecutive candles used to define an order block.
• Min. Percent Move for Valid OB (threshold): minimum percent move required for a valid order block.
• Number of OB Channels: how many past order block lines to keep visible.
• Trendline Period (tl_period): pivot lookback for detecting highs/lows used to draw trendlines.
• Use Wicks for Trendlines: whether pivot uses wicks or body.
• Extension Bars: how far trendlines are projected forward.
• Use Volume Filter + Volume Threshold Multiplier (e.g., 1.2): requires volume to be greater than multiplier × average volume.
• Use ATR Filter + ATR Multiplier: require bar range > ATR × multiplier to filter noise.
• Show Targets / Table settings / Colors for visualization.
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4) Core building blocks — what the script computes (plain language)
Price & trend:
• Spot / LTP: current close price.
• EMA 9 / 21 / 50: fast, medium, slow moving averages to define short/medium trend.
o trend_bullish: EMA9 > EMA21 > EMA50
o trend_bearish: EMA9 < EMA21 < EMA50
o trend_neutral: otherwise
Volatility & noise:
• ATR (14): average true range used for dynamic target and filter sizing.
• dynamic_zone = ATR × atr_multiplier: minimum bar range required for meaningful move.
• Annualized volatility: stdev of price changes × sqrt(252) × 100 — used to classify volatility (HIGH/MEDIUM/LOW).
Momentum & oscillators:
• RSI 14: overbought/oversold indicator (thresholds 70/30).
• MACD: EMA(12)-EMA(26) and a 9-period signal line; histogram used for momentum direction and strength.
• Momentum (ta.mom 10): raw momentum over 10 bars.
Mean reversion / band context:
• Bollinger Bands (20, 2σ): upper, mid, lower.
o price_position measures where price sits inside the band range as 0–100.
Volume metrics:
• avg_volume = SMA(volume, 20) and volume_spike = volume > avg_volume × volume_threshold
o volume_ratio = volume / avg_volume
Support & Resistance:
• support_level = lowest low over 20 bars
• resistance_level = highest high over 20 bars
• current_position = percent of price between support & resistance (0–100)
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5) Order Block detection — concept & logic
What it tries to find: a bar (the base) followed by N candles in the opposite direction (a classical order block setup), with a minimum % move to qualify. The script records the high/low of the base candle, averages them, and plots those levels as OB channels.
How learners should think about it (conceptual):
1. An order block is a signature area where institutions (theory) left liquidity — often seen as a large bar followed by a sequence of directional candles.
2. This indicator uses a configurable number of subsequent candles to confirm that the pattern exists.
3. When found, it stores and displays the base candle’s high/low area so students can see how price later reacts to those zones.
Implementation note for learners: the tool keeps a limited history of OB lines (ob_channels). When new OBs exceed the count, the oldest lines are removed — good practice to avoid clutter.
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6) Trendline detection — idea & interpretation
• The script finds pivot highs and lows using a symmetric lookback (tl_period and half that as right/left).
• It then computes a trendline slope from successive pivots and projects the line forward (extension_bars).
• Break detection: Resistance break = close crosses above the projected resistance line; Support break = close crosses below projected support.
Learning tip: trendlines here are computed from pivot points and time. Watch how changing tl_period (bigger = smoother, fewer pivots) alters the trendlines and break signals.
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7) Signal generation & filters — step-by-step
1. Primary triggers:
o Bullish trigger: order block bullish OR resistance trendline break.
o Bearish trigger: bearish order block OR support trendline break.
2. Filters applied (both must pass unless disabled):
o Volume filter: volume must be > avg_volume × volume_threshold.
o ATR filter: bar range (high-low) must exceed ATR × atr_multiplier.
o Not in an existing trade: new trades only start if trade_active is false.
3. Trend confirmation:
o The primary trigger is only confirmed if trend is bullish/neutral for buys or bearish/neutral for sells (EMA alignment).
4. Result:
o When confirmed, a long or short trade is activated with TP/SL calculated from ATR multiples.
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8) Trade management — what the tool does after a signal
• Entry management: the script marks a trade as trade_active and sets long_trade or short_trade flags.
• TP & SL rules:
o Long: TP = high + 2×ATR ; SL = low − 1×ATR
o Short: TP = low − 2×ATR ; SL = high + 1×ATR
• Monitoring & exit:
o A trade closes when price reaches TP or SL.
o When TP/SL hit, the indicator updates win_count and total_pnl using a very simple calculation (difference between TP/SL and previous close).
o Visual lines/labels are drawn for TP and updated as the trade runs.
Important learner notes:
• The script does not store a true entry price (it uses close in its P&L math), so PnL is an approximation — treat this as a learning proxy, not a position accounting system.
• There’s no sizing, slippage, or fee accounted — students must manually factor these when translating to real trades.
• This indicator is not a backtesting strategy; strategy.* functions would be needed for rigorous backtest results.
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9) Signal strength & helper utilities
• Signal strength is a composite score (0–100) made up of four signals worth 25 points each:
1. RSI extreme (overbought/oversold) → 25
2. Volume spike → 25
3. MACD histogram magnitude increasing → 25
4. Trend existence (bull or bear) → 25
• Progress bars (text glyphs) are used to visually show RSI and signal strength on the table.
Learning point: composite scoring is a way to combine orthogonal signals — study how changing weights changes outcomes.
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10) Dashboard — how to read each section (walkthrough)
The dashboard is split into sections; here's how to interpret them:
1. Market Overview
o LTP / Change%: immediate price & daily % change.
2. RSI & MACD
o RSI value plus progress bar (overbought 70 / oversold 30).
o MACD histogram sign indicates bullish/bearish momentum.
3. Volume Analysis
o Volume ratio (current / average) and whether there’s a spike.
4. Order Block Status
o Buy OB / Sell OB: the average base price of detected order blocks or “No Signal.”
5. Signal Status
o 🔼 BUY or 🔽 SELL if confirmed, or ⚪ WAIT.
o No-trade vs Active indicator summarizing market readiness.
6. Trend Analysis
o Trend direction (from EMAs), market sentiment score (composite), volatility level and band/position metrics.
7. Performance
o Win Rate = wins / signals (percentage)
o Total PnL = cumulative PnL (approximate)
o Bull / Bear Volume = accumulated volumes attributable to signals
8. Support & Resistance
o 20-bar highest/lowest — use as nearby reference points.
9. Risk & R:R
o Risk Level from ATR/price as a percent.
o R:R Ratio computed from TP/SL if a trade is active.
10. Signal Strength & Active Trade Status
• Numeric strength + progress bar and whether a trade is currently active with TP/SL display.
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11) Alerts — what will notify you
The indicator includes pre-built alert triggers for:
• Bullish confirmed signal
• Bearish confirmed signal
• TP hit (long/short)
• SL hit (long/short)
• No-trade zone
• High signal strength (score > 75%)
Training use: enable alerts during a replay session to be notified when the indicator would have signalled.
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12) Labs — hands-on exercises for learners (step-by-step)
Lab A — Order Block recognition
1. Pick a 15–30 minute timeframe on a liquid ticker.
2. Use default OB periods (7). Mark each time the dashboard shows a Buy/Sell OB.
3. Manually inspect the chart at the base candle and the following sequence — draw the OB zone by hand and watch later price reactions to it.
4. Repeat with OB periods 5 and 10; note stability vs noise.
Lab B — Trendline break confirmation
1. Increase trendline period (e.g., 20), watch trendlines form from pivots.
2. When a resistance break is flagged, compare with MACD & volume: was momentum aligned?
3. Note false breaks vs confirmed moves — change extension_bars to see projection effects.
Lab C — Filter sensitivity
1. Toggle Use Volume Filter off, and record the number and quality of signals in a 2-day window.
2. Re-enable volume filter and change threshold from 1.2 → 1.6; note how many low-quality signals are filtered out.
Lab D — Trade management simulation
1. For each signalled trade, record the time, close entry approximation, TP, SL, and eventual hit/miss.
2. Compute actual PnL if you had entered at the open of the next bar to compare with the script’s PnL math.
3. Tabulate win rate and average R:R.
Lab E — Performance review & improvement
1. Build a spreadsheet of signals over 30–90 periods with columns: Date, Signal type, Entry price (real), TP, SL, Exit, PnL, Notes.
2. Analyze which filters or indicators contributed most to winners vs losers and adjust weights.
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13) Common pitfalls, assumptions & implementation notes (things to watch)
• P&L simplification: total_pnl uses close as a proxy entry price. Real entry/exit prices and slippage are not recorded — so PnL is approximate.
• No position sizing or money management: the script doesn’t compute position size from equity or risk percent.
• Signal confirmation logic: composite "signal_strength" is a simple 4×25 point scheme — explore different weights or additional signals.
• Order block detection nuance: the script defines the base candle and checks the subsequent sequence. Be sure to verify whether the intended candle direction (base being bullish vs bearish) aligns with academic/your trading definition — read the code carefully and test.
• Trendline slope over time: slope is computed using timestamps; small differences may make lines sensitive on very short timeframes — using bar_index differences is usually more stable.
• Not a true backtester: to evaluate performance statistically you must transform the logic into a strategy script that places hypothetical orders and records exact entry/exit prices.
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14) Suggested improvements for advanced learners
• Record true entry price & timestamp for accurate PnL.
• Add position sizing: risk % per trade using SL distance and account size.
• Convert to strategy. (Pine Strategy)* to run formal backtests with equity curves, drawdowns, and metrics (Sharpe, Sortino).
• Log trades to an external spreadsheet (via alerts + webhook) for offline analysis.
• Add statistics: average win/loss, expectancy, max drawdown.
• Add additional filters: news time blackout, market session filters, multi-timeframe confirmation.
• Improve OB detection: combine wick/body, volume spike at base bar, and liquidity sweep detection.
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15) Glossary — quick definitions
• ATR (Average True Range): measure of typical range; used to size targets and stops.
• EMA (Exponential Moving Average): trend smoothing giving more weight to recent prices.
• RSI (Relative Strength Index): momentum oscillator; >70 overbought, <30 oversold.
• MACD: momentum oscillator using difference of two EMAs.
• Bollinger Bands: volatility bands around SMA.
• Order Block: a base candle area with subsequent confirmation candles; a zone of institutional interest (learning model).
• Pivot High/Low: local turning point defined by candles on both sides.
• Signal Strength: combined score from multiple indicators.
• Win Rate: proportion of signals that hit TP vs total signals.
• R:R (Risk:Reward): ratio of potential reward (TP distance) to risk (entry to SL).
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16) Limitations & assumptions (be explicit)
• This is an indicator for learning — not a trading robot or broker connection.
• No slippage, fees, commissions or tie-in to real orders are considered.
• The logic is heuristic (rule-of-thumb), not a guarantee of performance.
• Results are sensitive to timeframe, market liquidity, and parameter choices.
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17) Practical classroom / study plan (4 sessions)
• Session 1 — Foundations: Understand EMAs, ATR, RSI, MACD, Bollinger Bands. Run the indicator and watch how these numbers change on a single day.
• Session 2 — Zones & Filters: Study order blocks and trendlines. Test volume & ATR filters and note changes in false signals.
• Session 3 — Simulated trading: Manually track 20 signals, compute real PnL and compare to the dashboard.
• Session 4 — Improvement plan: Propose changes (e.g., better PnL accounting, alternative OB rule) and test their impact.
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18) Quick reference checklist for each signal
1. Was an order block or trendline break detected? (primary trigger)
2. Did volume meet threshold? (filter)
3. Did ATR filter (bar size) show a real move? (filter)
4. Was trend aligned (EMA 9/21/50)? (confirmation)
5. Signal confirmed → mark entry approximation, TP, SL.
6. Monitor dashboard (Signal Strength, Volatility, No-trade zone, R:R).
7. After exit, log real entry/exit, compute actual PnL, update spreadsheet.
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19) Educational caveat & final note
This tool is built for training and analysis: it helps you see how common technical building blocks combine into trade ideas, but it is not a trading recommendation. Use it to develop judgment, to test hypotheses, and to design robust systems with proper backtesting and risk control before risking capital.
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20) Disclaimer (must include)
Training & Educational Only — This material and the indicator are provided for educational purposes only. Nothing here is investment advice or a solicitation to buy or sell financial instruments. Past simulated or historical performance does not predict future results. Always perform full backtesting and risk management, and consider seeking advice from a qualified financial professional before trading with real capital.
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ForecastForecast (FC), indicator documentation
Type: Study, not a strategy
Primary timeframe: 1D chart, most plots and the on-chart table only render on daily bars
Inspiration: Robert Carver’s “forecast” concept from Advanced Futures Trading Strategies, using normalized, capped signals for comparability across markets
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What the indicator does
FC builds a volatility-normalized momentum forecast for a chosen symbol, optionally versus a benchmark. It combines an EWMAC composite with a channel breakout composite, then caps the result to a common scale. You can run it in three data modes:
• Absolute: Forecast of the selected symbol
• Relative: Forecast of the ratio symbol / benchmark
• Combined: Average of Absolute and Relative
A compact table can summarize the current forecast, short-term direction on the forecast EMAs, correlation versus the benchmark, and ATR-scaled distances to common price EMAs.
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PineScreener, relative-strength screening
This indicator is excellent for screening on relative strength in PineScreener, since the forecast is volatility-normalized and capped on a common scale.
Available PineScreener columns
PineScreener reads the plotted series. You will see at least these columns:
• FC, the capped forecast
• from EMA20, (price − EMA20) / ATR in ATR multiples
• from EMA50, (price − EMA50) / ATR in ATR multiples
• ATR, ATR as a percent of price
• Corr, weekly correlation with the chosen benchmark
Relative mode and Combined mode are recommended for cross-sectional screens. In Relative mode the calculation uses symbol / benchmark, so ensure the ratio ticker exists for your data source.
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How it works, step by step
1. Volatility model
Compute exponentially weighted mean and variance of daily percent returns on D, annualize, optionally blend with a long lookback using 10y %, then convert to a price-scaled sigma.
2. EWMAC momentum, three legs
Daily legs: EMA(8) − EMA(32), EMA(16) − EMA(64), EMA(32) − EMA(128).
Divide by price-scaled sigma, multiply by leg scalars, cap to Cap = 20, average, then apply a small FDM factor.
3. Breakout momentum, three channels
Smoothed position inside 40, 80, and 160 day channels, each scaled, then averaged.
4. Composite forecast
Average the EWMAC composite and the breakout composite, then cap to ±20.
Relative mode runs the same logic on symbol / benchmark.
Combined mode averages Absolute and Relative composites.
5. Weekly correlation
Pearson correlation between weekly closes of the asset and the benchmark over a user-set length.
6. Direction overlay
Two EMAs on the forecast series plus optional green or red background by sign, and optional horizontal level shading around 0, ±5, ±10, ±15, ±20.
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Plots
• FC, capped forecast on the daily chart
• 8-32 Abs, 8-32 Rel, single-leg EWMAC plus breakout view
• 8-32-128 Abs, 8-32-128 Rel, three-leg composite views
• from EMA20, from EMA50, (price − EMA) / ATR
• ATR, ATR as a percent of price
• Corr, weekly correlation with the benchmark
• Forecast EMA1 and EMA2, EMAs of the forecast with an optional fill
• Backgrounds and guide lines, optional sign-based background, optional 0, ±5, ±10, ±15, ±20 guides
Most plots and the table are gated by timeframe.isdaily. Set the chart to 1D to see them.
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Inputs
Symbol selection
• Absolute, Relative, Combined
• Vs. benchmark for Relative mode and correlation, choices: SPY, QQQ, XLE, GLD
• Ticker or Freeform, for Freeform use full TradingView notation, for example NASDAQ:AAPL
Engine selection
• Include:
• 8-32-128, three EWMAC legs plus three breakouts
• 8-32, simplified view based on the 8-32 leg plus a 40-day breakout
EMA, applied to the forecast
• EMA1, EMA2, with line-width controls, plus color and opacity
Volatility
• Span, EW volatility span for daily returns
• 10y %, blend of long-run volatility
• Thresh, Too volatile, placeholders in this version
Background
• Horizontal bg, level shading, enabled by default
• Long BG, Hedge BG, colors and opacities
Show
• Table, Header, Direction, Gain, Extension
• Corr, Length for correlation row
Table settings
• Position, background, opacity, text size, text color
Lines
• 0-lines, 10-lines, 5-lines, level guides
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Reading the outputs
• Forecast > 0, bullish tilt; Forecast < 0, bearish or hedge tilt
• ±10 and ±20 indicate strength on a uniform scale
• EMA1 vs EMA2 on the forecast, EMA1 above EMA2 suggests improving momentum
• Table rows, label colored by sign, current forecast value plus a green or red dot for the forecast EMA cross, optional daily return percent, weekly correlation, and ATR-scaled EMA9, EMA20, EMA50 distances
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Data handling, repainting, and performance
• Daily and weekly series are fetched with request.security().
• Calculations use closed bars, values can update until the bar closes.
• No lookahead, historical values do not repaint.
• Weekly correlation updates during the week, it finalizes on weekly close.
• On intraday charts most visuals are hidden by design.
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Good practice and limitations
• This is a research indicator, not a trading system.
• The fixed Cap = 20 keeps a common scale, extreme moves will be clipped.
• Relative mode depends on the ratio symbol / benchmark, ensure both legs have data for your feed.
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Credits
Concept inspired by Robert Carver’s forecast methodology in Advanced Futures Trading Strategies. Implementation details, parameters, and visuals are specific to this script.
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Changelog
• First version
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Disclaimer
For education and research only, not financial advice. Always test on your market and data feed, consider costs and slippage before using any indicator in live decisions.
