Volatility Heat-Map, momentum ribbon and divergence detectorThis is a comprehensive volatility + momentum + volume + ATR dashboard with table visualization, momentum ribbon, and divergence detection. It’s optimized for visual clarity with dynamic coloring and is suitable for both trend-following and mean-reversion traders.
Table shows:
Oscillator values with arrows and K/D status.
Current & Daily ATR with tops/bottoms.
Volume & % change, rising/falling indicator.
Volatility regime (Low/Normal/High) with color coding.
Momentum strength (strong/weak bullish/bearish).
Oscillator
stoch = hh != ll ? 100 * (src - ll) / (hh - ll) : 0
k = smooth(stoch, kSmoothing)
d = smooth(k, dSmoothing)
Standard stochastic normalization.
Smoothing based on selected type (SMA/EMA/WMA).
diff between K and D is normalized for the momentum ribbon color:
Greenish for bullish, red for bearish, silver for neutral.
Overbought / Oversold lines: 80/20, midline at 50.
4. BBWP Calculation
bbwp = f_bbwp(i_priceSrc, i_bbwpLen, i_bbwpLkbk, i_basisType)
bbwpSMA5 = f_maType(bbwp, 5, "SMA")
Heatmap Thresholds:
Low < 15%
High > 85%
Otherwise Normal.
Colors dynamically assigned for histogram and table background.
Plotted as columns if table
Bullish and Bearish divergence labels plotted, both regular and hidden.
EMAS
EMA SIMPLE 50 PERIODOSThe Simple EMA 50 is a clean and reliable indicator designed to help traders identify the medium-term trend with precision. The 50-period Exponential Moving Average (EMA) is one of the most widely used tools in technical analysis — offering smooth, responsive signals that adapt quickly to price movements.
This indicator is perfect for traders who value simplicity and clarity in their charts. Whether you trade Forex, stocks, crypto, or indices, the EMA 50 helps you:
Identify trend direction and momentum.
Spot potential entry and exit zones.
Confirm support and resistance levels.
Use it alone for a minimalist setup or combine it with other EMAs, RSI, or volume indicators for stronger confluence.
Tip: When price stays above the EMA 50, the trend is usually bullish; when it stays below, the trend tends to be bearish.
Volatility Heat-Map, momentum ribbon and divergence detector ✅ Summary:
This is a comprehensive volatility + momentum + volume + ATR dashboard with table visualization, momentum ribbon, and divergence detection. It’s optimized for visual clarity with dynamic coloring and is suitable for both trend-following and mean-reversion traders.
Table shows:
Oscillator values with arrows and K/D status.
Current & Daily ATR with tops/bottoms.
Volume & % change, rising/falling indicator.
Volatility regime (Low/Normal/High) with color coding.
Momentum strength (strong/weak bullish/bearish).
Oscillator
stoch = hh != ll ? 100 * (src - ll) / (hh - ll) : 0
k = smooth(stoch, kSmoothing)
d = smooth(k, dSmoothing)
Standard stochastic normalization.
Smoothing based on selected type (SMA/EMA/WMA).
diff between K and D is normalized for the momentum ribbon color:
Greenish for bullish, red for bearish, silver for neutral.
Overbought / Oversold lines: 80/20, midline at 50.
4. BBWP Calculation
bbwp = f_bbwp(i_priceSrc, i_bbwpLen, i_bbwpLkbk, i_basisType)
bbwpSMA5 = f_maType(bbwp, 5, "SMA")
Heatmap Thresholds:
Low < 15%
High > 85%
Otherwise Normal.
Colors dynamically assigned for histogram and table background.
Plotted as columns if table
Bullish and Bearish divergence labels plotted, both regular and hidden.
SignalGenius [Riz]SignalGenius™ is an advanced multi-factor signal engine that merges traditional technical analysis with adaptive AI classification and smart market context filters. It evaluates more than 15 technical dimensions including trend, volume, volatility, momentum, and reversal behavior—to produce high-quality Buy, Sell, and Exit signals optimized for any market condition. Unlike typical signal scripts, SignalGenius™ is built as a modular decision framework with selectable presets for different trading styles (Trend-Following, Balanced, Reversal, Scalper, etc.). Every signal passes through multiple validation filters such as Smart Trail alignment, volume confirmation, AI confidence level, and momentum health before being displayed on chart.
What This Indicator Does
⦁ Generates Buy, Strong Buy, Sell, and Strong Sell signals based on composite scoring of 10+ technical models (RSI, MACD, Stochastic, ADX, EMA structure, pattern recognition, volume analysis).
⦁ Integrates a Smart Trail System that adapts dynamically to volatility and trend regime shifts.
⦁ Includes a multi-level AI Classification Engine (Levels 1 – 4) to quantify signal quality and probability.
⦁ Provides automatic exit signals (x) controlled by preset logic—ATR, RSI, trail breaks, or zone interactions.
⦁ Displays a real-time dashboard summarizing trend strength, volatility, volume sentiment, RSI, ADX, and squeeze conditions.
⦁ Offers five preset trading profiles plus full manual customization for experienced users.
How It Works
SignalGenius™ processes market data through sequential layers:
1. Core Technical Layer – computes key metrics (RSI, MACD, Stochastic, Momentum, ADX, Bollinger/Keltner squeeze, EMAs, VWAP).
2. Scoring Layer – assigns bull/bear scores from overlapping confirmations such as crossovers, divergences, volume strength, and pattern setups.
3. AI Classification Layer – converts raw score + context (trend, volume, momentum) into an AI Level (1 – 4) showing signal reliability.
4. Filter Layer – validates each signal using optional Smart Trail, trend strength, volume, AI confidence, reversal zones, and momentum filters.
5. Visualization Layer – plots shaped markers, adaptive candle coloring, dynamic dashboards, and optional overlays (VWAP, pivots, volume profile).
The result is an intelligent system capable of shifting between confirmation-trend, contrarian-reversal, or hybrid behaviors automatically.
Inputs & Customization
🎯 Presets / Filters – Quick setups for Trend-Following, Balanced, Advanced, Reversal, or Scalper styles.
🎲 Signal Generation – Control sensitivity, cooldown, hybrid/contrarian modes, and signal history.
🎯 Exit Configuration – Define profit/stop multiples (ATR-based) and choose exit style (RSI, trail, or zone).
📈 Smart Trail – Toggle dynamic ATR trail, bands, and retest entries.
📦 Reversal Zones – Auto-detect support/resistance zones with strength counters.
📊 Trend Catcher – EMA overlays with crossover highlights.
🎨 Candle Coloring – Confirmation, Contrarian, Gradient, or Volume-based color logic.
📊 Dashboard – Compact or detailed info panel with metrics, volatility, and mode display.
🔔 Alerts – Instant notifications for all key signal and condition events.
Visual Elements & Labels
Symbol Meaning Description
▲ / ▼ Normal Buy / Sell Standard entry signal
▲+ / ▼+ Strong Buy / Strong Sell Multi-factor confirmed signals
x Exit Profit or stop-based exit marker
★ 1-4 AI Classification Higher = stronger confluence (4 = highest)
🔵 / 🔴 Bands Smart Trail Dynamic support/resistance envelopes
How to Use
1. Select a Preset Mode matching your style (Trend, Balanced, Contrarian, Scalper).
2. Wait for aligned Buy/Sell + AI Level ≥ 3 signals near zones or trails.
3. Confirm with Dashboard metrics—trend > 60 % = strong; volume = bullish or bearish sentiment.
4. Manage trades via built-in exit markers or your own risk parameters.
5. Combine multiple timeframes for higher accuracy (e.g., H1 bias + M15 execution).
Notes & Tips
⦁ Works on all markets and timeframes, optimized for 5 m–1 H for intraday and 4 H–D for swing trading.
⦁ Use Autopilot Mode to auto-adjust sensitivity when volatility changes.
⦁ Enable Smart Trail and Reversal Zones for structured context trading.
⦁ “AI 4★ Strong” signals near trail or zone boundaries represent highest-quality opportunities.
⦁ For backtesting, keep “Show Signal History” ON and set history length as needed.
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice or a guaranteed trading system.
Always confirm signals with independent analysis and apply appropriate risk management before live trading.
APXTradez - Swing RSI🔹 APXTradez Swing RSI — Summary & Usage Guide
Purpose
- The APXTradez Swing RSI measures momentum strength and exhaustion in a stock’s price movement.
- It tells you when price is overextended, balanced, or reversing, helping you time entries, exits, and confirmation on swing trades.
This version is tuned for clean visual momentum tracking during 2-to-5-day swings or multi-week trends.
Core Components
-RSI (14-period)
- Uses a standard 14-bar calculation on the closing price (or whichever source you choose).
- Ranges between 0 and 100, showing how strong the recent price push has been.
- Smooth enough for swing trading; reactive enough to catch early turns.
- Color-Coded RSI Line
White = Neutral zone (healthy price action).
Lime = Oversold (< 30) → buying opportunity or short-covering zone.
Red = Overbought (> 70) → profit-taking or potential pullback zone.
Color shifts automatically as RSI crosses key thresholds, so you see sentiment flips instantly.
Horizontal Levels
70 = Overbought (red dashed line)
30 = Oversold (lime dashed line)
50 = Midline (gray dotted line, optional toggle)
These levels frame the RSI’s “zones of strength.”
How to Use It
1️⃣ Identify Momentum Regime
-Above 50 → Bullish Bias
Momentum favors buyers. Use this to confirm call or long positions.
- Below 50 → Bearish Bias
Momentum favors sellers. Confirms put or short setups.
- The 50 midline is your “momentum compass.”
Crosses above or below often precede trend reversals.
2️⃣ Spot Extremes (30 / 70 Zones)
RSI > 70 = Overbought
Price is stretched; risk of pullback or short-term cooling.
→ Good area to trim longs or watch for reversal candles.
RSI < 30 = Oversold
Price is washed out; potential bounce forming.
→ Good area to look for bullish reversal + volume confirmation.
3️⃣ Combine with APX TTM Squeeze and Overlay
- When RSI > 50 and rising + TTM histogram bright teal + Squeeze fires black dot up → high-probability long swing.
- When RSI < 50 and falling + TTM histogram bright yellow + Squeeze fires down → high-probability short swing.
- When RSI flat around 50 → trendless; wait for compression + momentum confirmation.
4️⃣ Divergences (Advanced Use)
- Bullish Divergence: Price makes a lower low, RSI makes a higher low → momentum turning up before price.
- Bearish Divergence: Price makes a higher high, RSI makes a lower high → momentum weakening.
- These signals are strongest when combined with a Squeeze firing or EMA crossover from your Swing Overlay.
Best Timeframes
Daily / 4-Hour: Ideal for swing entries and momentum tracking.
1-Hour: For fine-tuning entries inside larger setups.
- The APXTradez Swing RSI gives you a clean, visual read on who controls momentum and when that strength is fading or reversing.
- It’s not meant to predict exact tops or bottoms — it’s a confirmation and rhythm tool:
Use the 50-line for trend bias.
Use 30/70 for exhaustion.
Use color shifts for quick sentiment reads.
Combine with your APX Squeeze and Overlay for the complete swing-timing system.
APXTradez - Swing Overlay🔹 APX Swing Overlay – Summary & Usage Guide
Purpose
The APX Swing Overlay is built for options swing traders who focus on 1–5 day directional moves.
It visually identifies trend strength, compression zones, and momentum buildup using a combination of EMAs, Bollinger Bands, and Keltner Channels — making it ideal for spotting breakouts early.
Core Components
8 EMA (Exponential Moving Average)
- Tracks short-term price action and momentum.
- Price above = bullish continuation; price below = short-term weakness.
- Acts as the first dynamic support/resistance level.
21 EMA
- Captures the mid-term trend (confirmation layer).
- When the 8 EMA crosses above the 21 EMA → bullish shift.
- When the 8 EMA crosses below the 21 EMA → bearish or consolidation signal.
Bollinger Bands (BB)
- Measures volatility around price.
- When the bands tighten, volatility is compressing → expect expansion soon.
- When the bands expand, volatility is releasing → breakout or breakdown in play.
Keltner Channels (KC)
- Uses ATR to show “normal” price movement range.
- When Bollinger Bands move inside the Keltner Channels, it signals a squeeze — price is coiling up for a potential breakout.
- Compression Highlights
- The overlay visually marks when BB are inside KC (low volatility squeeze).
- These zones are shaded or highlighted so you can easily see when a stock is building pressure.
- Once price exits that zone with momentum, it often begins a new swing leg.
How to Use It
Add to Chart : Apply the APX Swing Overlay on your daily or 4-hour timeframe.
Look for Compression:
- Watch for areas where the bands tighten and the compression highlight appears.
- This means volatility is low — expect an expansion soon.
- Wait for Expansion + EMA Confirmation:
- A breakout above both the 8 & 21 EMA, with bands expanding, signals a potential long swing.
- A breakdown below both EMAs with expanding bands signals potential short swing.
Ride the Trend:
- Stay in the trade as long as price respects the 8 EMA.
- Take profit when momentum slows or the 8 crosses back below the 21 EMA.
Best Timeframes
Daily Chart → Ideal for swing setups (2–5 day hold).
4H Chart → Good for early entry timing and breakout confirmation.
Quick Visual Interpretation
Signal Meaning
8 > 21 and expanding BB Bullish trend continuation
8 < 21 and expanding BB Bearish continuation
BB inside KC Volatility squeeze forming
Highlighted compression zone Potential pre-breakout setup
Price closing above 8/21 Confirmation to enter
EMA Crosses with Independent Fading Background1. Overall Purpose
The script is an EMA crossover indicator with the following features:
Calculates four EMA pairs: 5/13, 21/50, 20/200, 50/200.
Plots optional EMA lines.
Shows fading background highlights for bullish/bearish crosses.
Places labels at the points of crossover.
Provides a price source input, so EMAs can be based on close, hl2, ohlc4, etc.
2. Strengths
Flexible inputs: Users can change EMA lengths, choose a price source, enable/disable plots, adjust background highlight duration and fade.
Independent fading: Each EMA pair has its own counter for background highlights, preventing overlaps from canceling each other.
Clear labeling: Crosses are labeled distinctly with different colors.
Overlay: Works directly on the chart with overlay=true.
Fixed High Timeframe Moving AveragesFixed High Timeframe Moving Averages (W/D/4H)
Summary
This indicator plots essential, high-timeframe (HTF) Moving Averages onto your chart, **no matter which timeframe you are currently viewing**.
It is designed for traders who need multi-timeframe context at a glance. Stop switching charts to see where the 200-Week or 50-Day MA is—now you can see all critical HTF levels directly on your 5-minute (or any other) chart.
---
Who it’s for
Traders who rely on moving averages but like to work on lower chart timeframes while keeping higher timeframe context in sight. If you scalp on 1–15m yet want Weekly/Daily/4H MAs always visible, this is for you.
---
What it shows
Pinned (“fixed”) moving averages from higher timeframes—Weekly (20/100/200) , Daily (50/100/200/365) and 4H (200) —rendered on any chart timeframe. Your favorite HTF MAs stay on screen no matter what TF you’re currently analyzing.
---
Features
* **MA types:** SMA, EMA, VWMA, Hull.
* **Fully configurable:** toggle each line, set periods, colors, and thickness.
* **Two alert modes (see below):** intrabar vs confirmed HTF close.
* **Works on any symbol & chart TF** using `request.security` to fetch HTF data.
---
Alerts & Modes
This indicator solves the biggest problem with MTF alerts: false signals. You can choose one of two modes:
1. **Intrabar mode** — compares current chart price to the HTF MA. Triggers as soon as price crosses the HTF line; great for early signals but may update until the HTF bar closes.
2. **Confirmed mode** — checks HTF close vs HTF MA. Signals only on the higher-TF bar close; fewer false starts, no intrabar repainting on that TF.
Per-line *Cross Above / Cross Below* conditions are provided for all enabled MAs (e.g., “20W — Cross Above”, “365D — Cross Below”, etc.).
**How to use alerts:** add the script → “Create Alert” → pick any condition from the script’s list.
---
Why this helps
* Keeps Weekly/Daily structure visible while you execute on LTF.
* Classic anchors (e.g., 200D, 20W/100W/200W) are popular for trend bias, dynamic support/resistance, and pullback context.
* Lets you standardize MA references across all your lower-TF playbooks.
---
Notes on confirmation & repainting
* Intrabar signals can change until the higher-TF bar closes (that’s expected with multi-TF data).
* Confirmed mode waits for the HTF close—cleaner, but later. Choose what fits your workflow.
---
Quick setup
1. Pick `MA Type` (SMA/EMA/VWMA/Hull).
2. Enable the HTF lines you want (Weekly 20/100/200; Daily 50/100/200/365; 4H 200).
3. Choose `Alert Mode` (Intrabar vs Confirmed).
4. Style colors/widths to taste and set alerts on the lines you care about.
---
Good practice
* Combine HTF MAs with price action (swings, structure, liquidity grabs) rather than using them in isolation.
* Always validate signals in your execution TF and use a risk plan tailored to volatility.
* Protect your capital: position sizing, stops, and disciplined risk management matter more than any single line on the chart.
---
Disclaimer
For educational/informational purposes only; not financial advice. Trading involves risk—manage it responsibly.
THAIT Moving Averages Tight within # ATR EMA SMA convergence
THAIT(tight) indicator is a powerful tool for identifying moving average convergence in price action. This indicator plots four user-defined moving averages (EMA or SMA). It highlights moments when the MAs converge within a user specified number of ATRs, adjusted by the 14-period ATR, signaling potential trend shifts or consolidation.
A convergence is flagged when MA1 is the maximum, the spread between MAs is tight, and the price is above MA1, excluding cases where the longest MA (MA4) is the highest. The indicator alerts and visually marks convergence zones with a shaded green background, making it ideal for traders seeking precise entry or exit points.
KIMSHA AIODescription
The KIMSHA AIO is a comprehensive overlay indicator designed for swing and position traders. It merges three distinct and powerful trading strategies into a single, cohesive tool to identify high-probability setups in stocks that are in confirmed uptrends.
What the Indicator Does:
Combines Three Strategies: Integrates a multi-scanner breakout system, a mean-reversion model, and a multi-year breakout tool into one indicator.
Main Modules
Signals Module:
1. Features six unique scanner signals (CS1-CS6) to identify a variety of bullish consolidation patterns.
2. Includes a full trade management framework with RVC (Red Volume Candle), PBP (Post Breakout Pivot Entry), and ISL (Initial Stop Loss) levels.
3. Identifies powerful Episodic Pivot (EP) and EP Entry (EPE) signals for stocks showing exceptional strength.
Reversal Module:
1. A mean-reversion strategy that primarily uses Bollinger Bands to find oversold conditions.
2. Provides a three-stage signal process: RA (Reversal Setup), Entry 1, and Entry 2 to time entries from a potential bottom.
Multi-Year Breakout (MYBO) Module:
1. Automatically identifies and plots historical, multi-year resistance and support levels.
2. Generates a clear signal when the price breaks out above these significant long-term levels.
Advanced Alerts: Features a highly customizable alert system that can be timed to trigger either on the bar's close or at a specific time of day, allowing for end-of-day style notifications.
How to Best Use It:
This indicator is most powerful when used with a systematic, rules-based approach. The core principle is to use long-term moving averages to define the trend and then use the indicator's signals to time entries within that trend.
The Foundation (Trend Filter): The most important rule is to only consider long setups on stocks where the 150-day SMA is above the 200-day EMA, and the 150-day SMA is sloping upwards. This keeps you aligned with the primary uptrend.
Strategy 1: The Momentum Breakout (PBP Entry)
1. Confirm the stock meets the primary trend filter rules.
2. Wait for an AIO setup signal (Super, Pls Buy, etc.) to draw a PBP line.
3. Enter when the price crosses above the PBP line or wait for a pull back after the price has crossed the PBP line.
Strategy 2: The Mean Reversion (RA Entry)
1. Confirm the stock meets the primary trend filter rules.
2. Wait for an "RA" (Reversal Setup) signal to appear on the chart.
3. Enter on the "ENTRY 1" (Risky Entry) or "ENTRY 2" signal (Safer Entry) or wait for a pull back after "ENTRY 1" or "ENTRY 2" signal.
Strategy 3: Multi-Year Breakout (MYBO) :
1. A breakout triangle (orange or fuchsia) appears below the candle, signaling a close above the "Recent High" (Orange) or "Older High" (Fuchsia).
2. Recent High refers to the highest price the stock has reached in last 12 months. Breaking above the "Recent High" is a sign of strong current demand.
3. Older High refers to the highest price the stock reached in a more distant, historical period - the period between 5 years ago and 1 year ago. Breaking above the "Older High" is a sign of VERY strong demand as it has broken a historic high.
4. Wait for a breakout triangle to appear on the chart.
5. Enter on the high of the candle marked with a breakout triangle or wait for a pull back after that signal.
Customize Your View: Use the "Inputs" tab to enable/disable the modules you want to focus on and configure the alerts you want to receive. Use the "Style" tab to hide any visual elements you don't need to keep your chart clean.
Word of Caution: Some signals based on higher timeframes (Monthly, Weekly, 3-Hour) may appear mid-period and could change before the higher timeframe bar closes, due to the settings used for accurate chart alignment.
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview
The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms.
This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades.
How It Works
Core Signal Generation:
The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag:
Calculate lag period: floor((length - 1) / 2)
Apply lag correction: src + (src - src )
Calculate ZLEMA: EMA of lag-corrected price
Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries.
Trend Detection:
The strategy maintains a trend variable that switches between bullish (1) and bearish (-1):
Long Signal: Triggers when price crosses above ZLEMA + volatility band
Short Signal: Triggers when price crosses below ZLEMA - volatility band
Optional ZLEMA Trend Confirmation:
When enabled, this filter requires ZLEMA to show directional momentum before entry:
Bullish Confirmation: ZLEMA must increase for 4 consecutive bars
Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars
This additional filter helps avoid false signals in choppy or ranging markets.
Risk Management Features:
The strategy includes multiple stop-loss and take-profit mechanisms:
Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band
ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier)
ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position
Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance
Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio
Trend-Based Exit: Closes position when price crosses EMA in opposite direction
Performance Tracking:
The strategy includes optional features for monitoring and analyzing trades:
Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown
Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade
CSV Export Fields: Outputs trade data for external analysis
Default Strategy Settings
Commission & Slippage:
Commission: 0.1% per trade
Slippage: 3 ticks
Initial Capital: $1,000
Position Size: 100% of equity per trade
Main Calculation Parameters:
Length: 70 (range: 70-7000) - Controls ZLEMA calculation period
Band Multiplier: 1.2 - Adjusts width of volatility bands
Entry Conditions (All Disabled by Default):
Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum
Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends
Short Trades:
Allow Short Trades: OFF - Strategy is long-only by default
Performance Settings (All Disabled by Default):
Use Profit Target: OFF
Profit Target Risk-Reward Ratio: 2.0 (when enabled)
Dynamic TP/SL (All Disabled by Default):
Use ATR-Based Stop-Loss & Take-Profit: OFF
ATR Length: 14
Stop-Loss ATR Multiplier: 1.5
Profit Target ATR Multiplier: 2.5
Use ATR Trailing Stop: OFF
Trailing Stop ATR Multiplier: 1.5
Use Break-Even Stop-Loss: OFF
Move SL to Break-Even After RR: 1.5
Use Trend-Based Take Profit: OFF
EMA Exit Length: 9
Trade Data Display (All Disabled by Default):
Show Floating Stats Table: OFF
Show Trade Log Labels: OFF
Enable CSV Export: OFF
Trade Label Vertical Offset: 0.5
Backtesting Date Range:
Start Date: January 1, 2018
End Date: December 31, 2069
Important Usage Notes
Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled.
Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled.
Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions.
Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting.
Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used.
Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid.
Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance.
Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions.
Recommended Use Cases
Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel
Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping
Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level
Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations
Limitations & Considerations
Like all trend-following strategies, performance may suffer in choppy or ranging markets
Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management
Higher length values (70+) reduce signal frequency but may improve signal quality
Multiple simultaneous risk management features may create conflicting exit signals
Past performance shown in backtests does not guarantee future results
Customization Tips
For more aggressive trading:
Reduce length parameter (minimum 70)
Decrease band multiplier for tighter bands
Enable short trades
Use lower profit target R:R ratios
For more conservative trading:
Increase length parameter
Enable ZLEMA trend confirmation
Use wider ATR stop-loss multipliers
Enable break-even stop-loss
Reduce position size from 100% default
For optimal choppy market performance:
Enable ZLEMA trend confirmation
Increase band multiplier
Use tighter profit targets
Avoid re-entry on trend continuation
Visual Elements
The strategy plots several elements on the chart:
ZLEMA line (color-coded by trend direction)
Upper and lower volatility bands
Long entry markers (green triangles)
Short entry markers (red triangles, when enabled)
Stop-loss levels (when positions are open)
Take-profit levels (when enabled and positions are open)
Trailing stop lines (when enabled and positions are open)
Optional ZLEMA trend markers (triangles at highs/lows)
Optional trade log labels showing complete trade information
Exit Reason Codes (for CSV Export)
When CSV export is enabled, exit reasons are coded as:
0 = Manual/Other
1 = Trailing Stop-Loss
2 = Profit Target
3 = ATR Stop-Loss
4 = Trend Change
Conclusion
Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms.
The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization.
Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size.
================================================================================
TAGS:
================================================================================
trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting
================================================================================
CATEGORY:
================================================================================
Strategies
================================================================================
CHART SETUP RECOMMENDATIONS:
================================================================================
For optimal visualization when publishing:
Use a clean chart with no other indicators overlaid
Select a timeframe that shows multiple trade signals (4H or Daily recommended)
Choose a trending asset (crypto, forex major pairs, or trending stocks work well)
Show at least 6-12 months of data to demonstrate strategy across different market conditions
Enable the floating stats table to display key performance metrics
Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible
Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc.
Make sure symbol information and timeframe are clearly visible
================================================================================
COMPLIANCE NOTES:
================================================================================
✅ Open-source publication with complete code visibility
✅ English-only title and description
✅ Detailed explanation of methodology and calculations
✅ Realistic commission (0.1%) and slippage (3 ticks) included
✅ All default parameters clearly documented
✅ Performance limitations and risks disclosed
✅ No unrealistic claims about performance
✅ No guaranteed results promised
✅ Appropriate for public library (original trend-following implementation with ZLEMA)
✅ Educational disclaimers included
✅ All features explained in detail
================================================================================
Kalman Exponential SuperTrendThe Kalman Exponential SuperTrend is a new, smoother & superior version of the famous "SuperTrend". Using Kalman smoothing, a concept from the EMA (Exponential Moving Average), this script leverages the best out of each and combines it into a single indicator.
How does it work?
First, we need to calculate the Kalman smoothed source. This is a kind of complex calculation, so you need to study it if you want to know how it works precisely. It smooths the source of the SuperTrend, which helps us smooth the SuperTrend.
Then, we calculate "a" where:
n = user defined ATR length
a = 2/(n+1)
Now we calculate the ATR over "n" period. Classical calculation, nothing changed here.
Now we calculate the SuperTrend using the Kalman smoothed source & ATR where:
kalman = kalman smoothed source
ATR = Average True Range
m = Factor chosen by user.
Upper Band = kalman + ATR * m
Lower Band = kalman - ATR * m
Now we just smooth it a bit further using the "a" and a concept from the EMA.
u1 = Upper Band a bar ago
l1 = Lower Band a bar ago
u = Upper Band
l = Lower Band
Upper = u1 * (1-a) + u * a
Lower = l1 * (1-a) + u * a
When the classical (not Kalman) source crosses above the Upper, it indicates an uptrend. When it crosses below the Lower, it indicates a downtrend.
Methodology & Concepts
When I took a look at the classical SuperTrend => It was just far too slow, and if I made it faster it was noisy as hell. So I decided I would try to make up for it.
I tried the gaussian, bilateral filter, but then I tried kalman and that worked the best, so I added it. Now it was still too noisy and unconsistent, so I revisited my knowledge of concepts and picked the one from the EMA, and it kinda solved it.
In the core of the indicator, all it does is combine them in a really simple way, but if you go more deeply you see how it fits the puzzlé really well.
It is not about trying out random things´=> but about seeking what it is missing and trying to lessen its bad side.
That is the entire point of this indicator => Offer a unique approach to the SuperTrend type, that lessen the bad sides of it.
I also added different plotting types, this is so everyone can find their favorite
Enjoy Gs!
EMA HeatmapEMA Heatmap — Indicator Description
The EMA Order Heatmap is a visual trend-structure tool designed to show whether the market is currently trending bullish, trending bearish, or moving through a neutral consolidation phase. It evaluates the alignment of multiple exponential moving averages (EMAs) at three different structural layers: short-term daily, medium-term daily, and weekly macro trend. This creates a quick and intuitive picture of how well price movement is organized across timeframes.
Each layer of the heatmap is scored from bearish to bullish based on how the EMAs are stacked relative to each other. When EMAs are in a fully bullish configuration, the row displays a bright green or lime color. Fully bearish alignment is shown in red. Yellow tones appear when the EMAs are mixed or compressing, indicating uncertainty, trend exhaustion, or a change in market character. The three rows combined offer a concise view of whether strength or weakness is isolated to one timeframe or broad across the market.
This indicator is best used as a trend filter before making trading decisions. Traders may find more consistent setups when the majority of the heatmap supports the direction of their trade. Green-dominant conditions suggest a trending bullish environment where long trades can be favored. Red-dominant conditions indicate bearish momentum and stronger potential for short opportunities. When yellow becomes more prominent, the market may be transitioning, ranging, or gearing up for a breakout, making timing more challenging and risk higher.
• Helps quickly identify directional bias
• Highlights when trends strengthen, weaken, or turn
• Provides insight into whether momentum is supported by higher timeframes
• Encourages traders to avoid fighting market structure
It is important to recognize the limitations. EMAs are lagging indicators, so the heatmap may confirm a trend after the initial move is underway, especially during fast reversals. In sideways or low-volume environments, the structure can shift frequently, reducing clarity. This tool does not generate entry or exit signals on its own and should be paired with price action, momentum studies, or support and resistance analysis for precise trade execution.
The EMA Order Heatmap offers a clean and reliable way to stay aligned with the broader market environment and avoid lower-quality trades in indecisive conditions. It supports more disciplined decision-making by helping traders focus on setups that match the prevailing structural trend.
MACD with Smart Entry Signals & Trend Filter
This advanced MACD indicator combines traditional MACD analysis with intelligent entry signal detection and an optional EMA trend filter. It identifies high-probability entry points by analyzing histogram patterns, consolidation phases, and trend continuation setups.
### Key Features
**🎯 Smart Entry Detection**
- **Consolidation Breakouts**: Identifies exits from consolidation zones (weak bars) with strong momentum
- **Trend Reversals**: Detects potential trend changes after extended weak phases
- **Correction/Continuation Patterns**: Recognizes brief corrections within strong trends that offer continuation opportunities
**📊 Enhanced MACD Visualization**
- Color-coded histogram showing four distinct states:
- Strong Bullish (dark green): Rising histogram above zero
- Weak Bullish (light green): Falling histogram above zero
- Weak Bearish (light red): Rising histogram below zero
- Strong Bearish (dark red): Falling histogram below zero
**🔍 Multi-Layer Filtering System**
- **Candle Size Filter**: Eliminates signals during high volatility/large candle ranges
- **EMA Trend Filter**: Optional filter ensuring entries align with the dominant trend direction
- Visual markers for rejected signals (orange X for candle size, blue E for EMA trend)
**⚙️ Customizable Parameters**
- Adjustable MACD periods (default: 34/144/9)
- Configurable consolidation bar requirements
- Flexible correction pattern detection
- EMA trend filter with adjustable sensitivity
- Multiple alert types for all signal conditions
### How to Use
1. **Enable/disable filters** based on your trading style and market conditions
2. **Green triangles (L)**: Long entry signals when all conditions are met
3. **Red triangles (S)**: Short entry signals when all conditions are met
4. **Rejected signal markers**: Help you understand why certain setups were filtered out
5. **Background coloring**: Provides visual confirmation of signal zones and correction patterns
### Alert System
Comprehensive alerts for:
- Long and short entry signals
- Specific pattern types (consolidation, reversal, continuation)
- Rejected signals (helps refine strategy)
- Traditional MACD histogram crossovers
### Best Practices
- Use the EMA trend filter in trending markets to avoid counter-trend trades
- Adjust candle size filter based on your instrument's typical volatility
- Consider combining with support/resistance levels for confirmation
- Test different consolidation bar settings for your timeframe
### Parameters Summary
- Fast/Slow Length: MACD calculation periods
- Signal Smoothing: Signal line period
- Consolidation Bars: Minimum weak bars before breakout
- Max Candle Range: Filter for oversized candles
- EMA Period & Sensitivity: Trend filter configuration
---
*This indicator is designed for traders who want a systematic approach to identifying MACD-based entry opportunities with built-in risk management through filtering.*
Opening Range + Daily LevelsA comprehensive multi-timeframe indicator designed for intraday traders who need critical support/resistance levels and EMAs all in one clean display.
Features:
📊 EMAs
9 EMA (default: white)
21 EMA (default: orange)
📅 Previous Day Levels
Yesterday's High, Low, Open, and Close
Lines extend progressively through the current session
Clean visual separation between trading days
📈 Previous Week Levels
Last Week's High, Low, Open, and Close
Dotted lines that extend through the current week
Perfect for identifying major support/resistance zones
🌙 Pre-Market Session (12:00 AM - 7:30 AM)
Pre-Market High and Low
Tracks overnight price action
Extends through the trading day
⏰ 15-Minute Opening Range (7:30 AM - 7:45 AM)
Opening Range High and Low with shaded box
Fibonacci retracement levels (0.382, 0.5, 0.618)
Golden ratio levels (0.382 & 0.618) in gold, midpoint (0.5) in dotted gray
Customization:
Adjustable timezone settings
Fully customizable colors for all levels
Adjustable line widths
Toggle Fibonacci levels on/off
Perfect For:
Day traders who need key levels at a glance
Price action traders using previous session data
Opening range breakout strategies
Multi-timeframe analysis
All levels update automatically and extend progressively as the day progresses, with labels staying visible at the current bar edge.
Tradisfy | TSFY | ORB Pro**TSFY | ORB Pro**
Introduction
TSFY | ORB Pro combines the classic Opening Range Breakout (ORB) logic with professional market structure tools such as EMAs, the Daily Open, ADR, and Pivot Points.
The goal: A clean and logically structured intraday visualization of volatility, trend, and key price zones — without visual clutter.
Timezone: Europe/Berlin
---
Core Features
Multi-Session ORB: Separate Opening Ranges for London, Gold, and New York sessions with ORH, ORL, and Mid levels, optionally extendable to the end of the trading day.
EMAs (Intraday & Daily): Adaptive trend filters from 4 to 800 periods plus Daily 13/50/200 EMAs for higher-timeframe structure context.
Classic Pivots: Automatic calculation of daily PP, R, S, and Mid levels with fully customizable colors, styles, and extensions.
Daily Open: Marks the daily opening price as a bias reference point.
ADR (Average Daily Range): Calculates the average true range of the last X days, optionally anchored to the Daily Open with an optional 50% midpoint.
---
Interpretation
Break above ORH → bullish momentum; break below ORL → bearish weakness.
Combine ORB zones with EMAs, Pivots, or ADR for higher confluence.
Daily Open provides intraday bias, ADR defines realistic target zones.
Reactions around R/S levels or OR Mid often indicate short-term turning points.
---
Usage
Use the ORB zone as the basis for breakout, retest, or mean-reversion setups.
Plan realistic take-profit zones using ADR and Pivot levels.
Daily EMAs define the overall market bias.
All components can be toggled on or off individually.
---
Notes
Optimized for intraday ORB trading.
No alerts integrated (yet).
All colors, line widths, and transparency levels are fully customizable.
Non-repainting — lines are extended forward, not redrawn.
Performance-friendly despite multiple visual components (max. 500 lines/labels).
---
TSFY | ORB Pro is a complete framework for modern intraday traders who want to combine session logic, trend filters, and market structure into one clean and efficient tool.
ORBs, EMAs, SMAs, AVWAPThis is an update to a previously published script. In short the difference is the added capability to adjust the length of EMAs. Also added 3 customizable SMAs. Enjoy! Let me know what you think of the script please. This is only second one I have ever done. Through practice and people like @LuxAlgo and other Pinescripters this isn't possible. Tedious hrs with ChatGPT to correct nuances, who doesnt seem to learn from (insert pronoun) mistakes
This all-in-one indicator combines key institutional tools into a unified framework for intraday and swing trading. Designed for traders who use multi-session analysis and dynamic levels, it automatically maps out global session breakouts, moving averages, and volume-weighted anchors with high clarity.
Features include:
🕓 Tokyo, London, and New York ORBs (Opening Range Breakouts) — 30-minute configurable range boxes that persist until the next New York open.
📈 Anchored VWAP with Standard Deviation Bands — dynamically anchorable to session, week, or month for institutional-grade price tracking.
📊 Exponential Moving Averages (9, 20, 113, 200) — for short-, mid-, and long-term momentum structure.
📉 Simple Moving Averages (20, 50, 100) — fully customizable lengths, colors, and visibility toggles for trend confirmation.
🏁 Prior High/Low Levels (PDH/PDL, PWH/PWL, PMH/PML) — automatically plotted from previous day, week, and month, with labels placed at each session’s midpoint.
🎛️ Session-Aligned Time Logic — all time calculations use New York session anchors with DST awareness.
💡 Clean Visualization Options — every component can be toggled on/off, recolored, or customized for your workflow.
Best used for:
ORB break-and-retest setups
VWAP and EMA rejections
Confluence-based trading around key session levels
Multi-session momentum tracking
ORBs, EMAs, AVWAPThis Pine Script (version 6) is a multi-session trading indicator that combines Opening Range Breakouts (ORBs), Exponential Moving Averages (EMAs), and an Anchored VWAP (AVWAP) system — all in one overlay script for TradingView.
Here’s a clear breakdown of its structure and functionality:
🕒 1. Session Logic and ORB Calculation
Purpose: Identify and plot the high and low of the first 30 minutes (default) for the Tokyo, London, and New York trading sessions.
Session Anchors (NY time):
Tokyo → 20:00
London → 03:00
New York → 09:30
(All configurable in inputs.)
ORB Duration: Default is 30 minutes (orbDurationMin), also user-configurable.
Resets:
London and NY ORBs reset at the start of each new New York trading day (17:00 NY time).
Tokyo ORB resets independently using a stored timestamp.
Process:
For each session:
While the time is within the ORB window, the script captures the session’s high and low.
Once the window closes, those levels remain plotted until reset.
Plot Colors:
Tokyo → Yellow (#fecc02)
London → Gray (#8c9a9c)
New York → Magenta (#ff00c8)
These form visible horizontal lines marking the prior session ranges — useful for breakout or retest trading setups.
📈 2. EMA System
Purpose: Provide trend and dynamic support/resistance guidance.
It calculates and plots four EMAs:
EMA Period Color Purpose
EMA 9 Short-term Green Fast signal
EMA 20 Short-term Red Confirms direction
EMA 113 Medium Aqua Trend filter
EMA 200 Long-term Orange Macro trend baseline
Each EMA is plotted directly on the price chart for visual confluence with ORB and VWAP levels.
⚖️ 3. Anchored VWAP (AVWAP)
Purpose: Display a volume-weighted average price anchored to specific timeframes or events, optionally with dynamic deviation or percentage bands.
Features:
Anchor Options:
Time-based: Session, Week, Month, Quarter, Year, Decade, Century
Event-based: Earnings, Dividends, Splits
VWAP resets when the chosen anchor condition is met (e.g., new month, new earnings event, etc.).
Bands:
Up to three levels of symmetric upper/lower bands.
Choose between Standard Deviation or Percentage-based widths.
Display Toggles:
Each band’s visibility is optional.
VWAP can be hidden on 1D+ timeframes (hideonDWM option).
Color Scheme:
VWAP: Fuchsia (magenta-pink) line
Bands: Green / Olive / Teal with light-filled zones
⚙️ 4. Technical Highlights
Uses ta.vwap() with built-in band calculations.
Handles instruments with or without volume (errors if missing volume).
Uses time-zone aware timestamps (timestamp(NY_TZ, …)).
Uses timeframe.change() to detect new anchors for the VWAP.
Employs persistent variables (var) to maintain session state across bars.
💡 In Practice
This indicator is designed for multi-session intraday traders who:
Trade Tokyo, London, or NY open breakouts or retests.
Use EMA stacking and crossovers for trend confirmation.
Use Anchored VWAP as a fair-value or mean-reversion reference.
Need clear visual structure across different market sessions.
It provides strong session separation, trend context, and volume-weighted price reference — making it ideal for discretionary or semi-systematic trading strategies focused on liquidity zones and session momentum.
Diwali Lights Pro — 7-Diyas Signal Matrix [KedArc Quant]🎯 Overview
“Diwali Lights Pro — 7-Diyas Signal Matrix” is a precision-built trend-sentiment indicator that blends the glow of seven technical “diyas” — each representing a different momentum or strength dimension — into one intuitive signal matrix. It was designed to celebrate light, discipline, and clarity in trading — helping traders filter noise, identify strong trend shifts, and take trades with conviction. Each diya is powered by a proven indicator component: RSI, Stochastic, EMA trend strength, and momentum slopes.Together, they light up your chart with buy/sell signals only when technical confluence aligns — like the diyas of Diwali shining in harmony.
💡 Core Concept
The indicator computes a composite score (–9 to +9) by evaluating seven key parameters:
| # | Diya | Logic | Interpretation |
| 1 | RSI | Overbought / Oversold | Short-term momentum exhaustion |
| 2 | Stochastic | Direction & zones | Confirmation of RSI |
| 3 | Price vs EMA20 | Position of price | Near-term trend bias |
| 4 | EMA20 Slope | Short-term momentum | Strength confirmation |
| 5 | EMA50 Slope | Mid-term trend | Trend stability |
| 6 | EMA100 Slope | Medium-term sentiment | Institutional bias |
| 7 | EMA200 Slope | Long-term sentiment | Market direction baseline |
The total of these 7 diyas creates a signal matrix that dynamically adapts to trend conditions.
⚙️ Inputs & Configuration
| RSI Length | 14 | Standard RSI window |
| Stochastic Length | 14 | Measures momentum oscillation |
| EMA Periods | 20, 50, 100, 200 | Multi-layer trend structure |
| Overbought / Oversold Zones | 70 / 30 | Configurable thresholds |
| Show Buy/Sell Labels | ✅ | Toggle signal markers |
| Show Banner | ✅ | Festive Diwali header with fireworks |
| Twinkle Interval | 10 bars | Animation timing |
| Fireworks Count | 18 | Visual celebration intensity |
| Background Opacity | 100% | Style preference |
🧭 Entry & Exit Logic
# ✅ Buy Signal (🪔)
A Buy triggers when:
* The total diya score crosses above zero,
* And at least four of seven components turn bullish.
This indicates that short-term oscillators, price action, and moving averages are all turning in unison — a strong entry zone after a pullback.
# 🔥 Sell Signal (🔥)
A Sell triggers when:
* The total diya score crosses below zero,
* And multiple slopes or price conditions flip bearish.
This flags weakening momentum and possible trend exhaustion.
# 💬 Suggested Usage
* Works beautifully on 5-min to 1-hour charts.
* Best when used with trend confirmation tools (volume, price structure).
* Avoid entering trades when signals flip rapidly within narrow ranges (sideways zones).
🧪 Mathematical Formulae
1. RSI Bucket (p₁):
p₁ =
2 if RSI < Very Oversold
1 if RSI < Oversold
0 if neutral
-1 if RSI > Overbought
-2 if RSI > Very Overbought
2. Stochastic Bucket (p₂): Similar to RSI bucketing.
3. Price vs EMA20 (p₃):
p₃ = sign(close - EMA20)
4–7. Slope Sign (EMA20, 50, 100, 200):
p₄₋₇ = sign(EMA - EMA )
Total Score = Σ(p₁…p₇)
→ Crossover(total_score, 0) → Buy Signal
→ Crossunder(total_score, 0) → Sell Signal
📊 Why It’s Not Just a Mash-Up
Diwali Lights Pro uses:
* A unified scoring engine with weighted logic rather than conflicting triggers.
* Each component (diya) contributes equally, creating a normalized sentiment index.
* Smart signal filtering prevents repetitive false flips by enforcing trend alignment across multiple time frames.
* A dynamic, responsive structure optimized for clarity and minimal repainting.
🎆 Unique Add-Ons
* Top-Right Diwali Banner: Festive “Happy Diwali” with animated fireworks 🎇 and diyas 🪔.
* Signal Filtering: Reduces noise in volatile ranges.
* EMA Cloud Context: Visual clarity of multi-layer trend zones.
* Optional Light Mode: Change fireworks opacity for a subtle or bright effect.
📘 FAQ
Q1: Does this repaint?
No — it uses confirmed values (RSI, Stochastic, EMA slopes). Signals appear only after the bar closes.
Q2: Which timeframes work best?
Between 5m and 1h, depending on your strategy.
Use higher EMAs for swing setups.
Q3: Can I use it with alerts?
Yes, both Buy and Sell triggers come with built-in `alertcondition()` for instant notifications.
Q4: Can it be combined with other indicators?
Absolutely — it pairs well with volume profiles, volatility bands, or order-flow systems.
🪔 Glossary
| Diya | Candle or light — here, each diya = one technical indicator |
| EMA | Exponential Moving Average — measures smoothed trend bias |
| RSI | Relative Strength Index — momentum overbought/oversold oscillator |
| Stochastic | Momentum oscillator measuring closing levels relative to highs/lows |
| Slope Sign | Direction of EMA movement — rising or falling |
| Signal Matrix | The combined system of all seven diyas generating a unified score |
🧭 Final Note
> *Diwali Lights Pro* is not just a trading tool — it’s a visual celebration of confluence and discipline.
> When the diyas align, trends shine. Use it to trade in harmony with light, not against it. 🌟
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Proteus EMA SystemInstitutional-Grade EMA System
Overview and Originality
The Institutional-Grade EMA System is an advanced, multi-layered Exponential Moving Average (EMA) overlay indicator designed to provide institutional-level trend analysis, market regime identification, and trade signal generation. Unlike standard multi-EMA scripts that simply plot averages and basic crossovers, this indicator introduces a proprietary integration of features tailored for professional traders: customizable presets that dynamically adjust EMA lengths for specific trading styles (e.g., scalping vs. position trading), multiple selectable trend detection algorithms (including a unique multi-bar slope analysis with percentage-based strength thresholding), EMA alignment and confluence detection for spotting high-conviction trends and reversal zones, volume-based signal filtering, and a comprehensive statistics dashboard for real-time market insights.
What makes this script original and worthy of closed-source protection is the bespoke combination of these elements into a cohesive system. For instance, while basic EMA ribbons or trend coloring exist in other indicators, this script's trend detection goes beyond simple comparisons by incorporating a normalized slope percentage calculation (detailed below) to quantify trend strength on a 0-100% scale, integrated with EMA stacking checks and confluence thresholds. This proprietary logic—refined through extensive backtesting on diverse assets—allows for nuanced market regime classification (e.g., "Strong Uptrend" only when alignment, slope strength, and volume align), which isn't replicated in open-source alternatives. The closed-source format protects the exact orchestration of these algorithms, including custom threshold derivations and dashboard computations, preventing direct replication while allowing users full access to the tool's outputs. If published open-source, the unique mathematical formulations (e.g., slope-to-strength mapping) could be easily copied, diminishing its edge in competitive trading environments.
This indicator draws conceptual inspiration from institutional trend-following systems (e.g., those using multiple time-horizon EMAs like in hedge fund models), but enhances them with modern Pine Script capabilities for visual and analytical depth. It's particularly useful for traders seeking to reduce false signals in volatile markets by requiring multi-factor confluence.
What It Does
Core EMA Plotting and Visualization: Plots up to 7 EMAs (5 primary + 2 optional) with dynamic coloring based on detected trend direction and strength (strong bullish: bright green; weak: faded green; neutral: gray; etc.). Includes EMA ribbons (fills between consecutive EMAs) and clouds (broader fills between non-consecutive EMAs) to visualize trend expansion/contraction.
Trend Detection and Strength: Classifies trends as strong/weak bullish/bearish or neutral using user-selectable methods, with optional volume confirmation to filter low-conviction moves.
Advanced Analytics:
Detects EMA alignment (all EMAs stacked in ascending/descending order for bullish/bearish trends).
Identifies EMA confluence zones (tight clustering of EMAs, signaling potential reversals or consolidations).
Draws dynamic support/resistance lines from the nearest EMAs relative to price.
Signals and Alerts: Generates buy/sell signals on customizable EMA crossovers, only if volume thresholds are met. Includes alerts for crossovers, alignments, confluences, and regime shifts.
User Interface Enhancements: Background coloring for quick trend bias (e.g., green for uptrends, yellow for confluences), dynamic line widths (thicker for slower EMAs), trend state labels, and a table-based dashboard displaying metrics like market regime, trend strength percentage, EMA slopes in degrees, price distances to key EMAs, volume status, and alignment state.
Customization Presets: Pre-configured EMA lengths for Scalping (short, reactive: e.g., 5/8/13), Day Trading (balanced: 9/21/50), Swing Trading (medium-term: 20/50/100), Position Trading (long-term: 50/100/150), or fully custom.
The result is a versatile tool that adapts to any timeframe or asset, helping traders identify high-probability setups by combining trend momentum, volume, and EMA dynamics.
How It Works: Underlying Concepts and Calculations
Without revealing the full implementation, here's a transparent overview of the key concepts and methodologies to help users understand the indicator's logic:
EMA Calculation and Presets: EMAs are computed using standard exponential smoothing (weighting recent prices more heavily). Presets optimize lengths based on trading horizon—shorter for scalping to capture quick reversals, longer for position trading to filter noise. For example, Swing preset uses 20/50/100/150/200 to balance short-term pullbacks with long-term trends, derived from Fibonacci-inspired progressions for natural market rhythm alignment.
Trend Detection Methods: Users select from four algorithms for flexibility:
Multi-Bar Slope (Default): Calculates the average slope over a lookback period (e.g., 3 bars) as (current EMA value - EMA value ) / lookback. Normalizes to a percentage relative to the EMA value: slope_percent = (slope / EMA) * 100. Thresholds classify trends (e.g., >0.05% = strong bullish; 0.01-0.05% = weak; symmetric for bearish). This method draws from linear regression concepts but simplifies for real-time use, providing robust trend quantification over simple bar-to-bar changes.
Previous Bar: Compares current EMA to the prior bar's, with percentage change thresholds (e.g., >0.1% = strong) for quick momentum shifts.
EMA vs EMA: Measures the percentage difference between fast and slow EMAs (e.g., >2% = strong bullish), inspired by MACD-like divergence but applied directly to EMAs.
Price Position: Gauges price's percentage distance from the EMA (e.g., >1% above = strong bullish), similar to envelope channels but integrated into trend coloring.
Trend strength is further scored (0-100%) by averaging absolute slopes of key EMAs, scaled for dashboard display.
Volume Confirmation: Uses a simple moving average of volume over a user-defined length (default 20), requiring current volume to exceed it by a multiplier (default 1.2x) for signal validation. This filters out low-volume fakeouts, akin to institutional volume-weighted strategies.
EMA Alignment: Checks if all visible EMAs are in strict order (fastest highest in uptrends, lowest in downtrends) by iterating through active EMAs and verifying sequential relationships. Signals "ALIGNED" shapes when true, indicating stacked trends like in ribbon strategies but with programmatic validation.
EMA Confluence: Computes the average of active EMAs, then measures the maximum percentage deviation of any EMA from this average. If below a threshold (default 0.5%), marks a "CONFLUENCE ZONE" box, conceptually similar to Bollinger Band squeezes but applied to EMA clusters for reversal anticipation.
Market Regime Classification: Combines alignment, trend score (>30% for "strong"), and price position relative to slowest EMA. For example, bullish alignment + high score = "Strong Uptrend"; close clustering = "Consolidation". This heuristic draws from regime-switching models in quantitative finance.
Signals and Visuals: Crossovers between user-selected EMAs (e.g., fast #1 over slow #2) plot "BUY/SELL" shapes only if volume-confirmed. Ribbons use color fills (green/red) based on EMA order; background shades reflect regime; S/R lines extend from max/min EMAs below/above price over a lookback (default 50 bars).
These calculations ensure the indicator provides actionable, multi-confirmed insights rather than generic plots.
How to Use It
Setup: Add to your chart and select a preset (e.g., "Swing Trading" for 1H-4H charts). Customize trend method (start with "Multi-Bar Slope" for accuracy), enable volume filter for reliability, and toggle visuals like ribbons or dashboard.
Trend Following: In a "Strong Uptrend" (green background, upward slopes >30%, bullish alignment), go long above the fastest EMA. Use S/R lines for stops (below nearest support EMA).
Swing Trading Example: On a daily SPX chart with Swing preset:
Wait for "Weak Uptrend" transition to "Strong" (trend score >50%, positive slopes, volume spike).
Enter long on EMA1 (20) crossing EMA2 (50), confirmed by "BUY" signal.
Target next resistance EMA (e.g., 150), exit on bearish crossover or confluence zone (yellow box signaling potential top).
Risk: Stop below EMA3 (100); aim for 2:1 reward:risk on multi-day holds.
Scalp Trading Example: On a 5-min BTCUSD chart with Scalping preset:
Focus on quick "Weak Bullish" shifts (faded green EMAs, slope >0.01%).
Buy on EMA1 (5) crossing EMA3 (13) with high volume (>1.5x avg).
Scalp 0.2-0.5% gains, exit at slope flattening (dashboard shows <30% strength) or nearest resistance.
Avoid confluences (chop); use 1-min for entries, 15-min for bias.
General Tips:
Combine with price action (e.g., candlestick patterns at confluence zones).
Backtest presets on your asset—adjust thresholds for volatility (e.g., tighter confluence for forex).
Use alerts for hands-off monitoring; multi-timeframe analysis enhances accuracy (higher TF for regime, lower for signals).
For ranging markets ("Neutral" regime), fade extremes near S/R zones.
Examples for Swing Trading
Swing trading focuses on capturing medium-term moves (days to weeks) in trending markets. Use the "Swing Trading" preset, which sets EMAs to 20, 50, 100, 150, 200, 75, 125—balancing sensitivity and smoothness.
Bullish Setup Example: On a daily chart of AAPL, wait for a "Strong Uptrend" regime (green background, bullish alignment label, trend strength >50%). Enter long on a valid bullish crossover (green "BUY" circle) between EMA1 (20) and EMA2 (50), confirmed by high volume. Set stop below nearest support EMA (e.g., EMA3 at 100), target 2-3x risk or next resistance. Hold until bearish crossover or alignment breaks.
Bearish Setup Example: On a 4H chart of EURUSD, spot a "Strong Downtrend" (red background, bearish alignment). Short on a bearish crossover (red "SELL") between EMA1 and EMA3, with volume confirmation. Stop above nearest resistance EMA, exit on confluence zone (yellow) signaling potential reversal.
Tip: Focus on alignments for trend confirmation—avoid trading against them. Use confluence zones as profit-taking areas in ranging markets.
Examples for Scalp Trading
Scalping targets quick, short-term trades (minutes to hours) on lower timeframes. Select the "Scalping" preset for shorter EMAs (5, 8, 13, 21, 34, 55, 89) to catch rapid moves.
Bullish Setup Example: On a 1-min chart of BTCUSD, look for "Weak Uptrend" (faded green background, positive slopes). Enter long on a fast crossover (e.g., EMA1 over EMA2) with high volume and no confluence (avoid chop). Scalp for 0.5-1% gain, exit on slope flattening or bearish cross. Use tight stops below the fastest EMA.
Bearish Setup Example: On a 5-min chart of TSLA, identify "Weak Downtrend" (faded red). Short on a crossover between EMA2 and EMA3, confirmed by volume spike. Target small moves (e.g., 10-20 pips), exit at nearest support EMA or if trend strength drops below 30%.
Tip: Prioritize "Multi-Bar Slope" detection for quick trend shifts. Disable background if it's distracting; focus on crossovers and volume for high-frequency entries. Avoid during confluences, as they signal choppy conditions.
This detailed approach ensures traders can replicate setups while appreciating the indicator's original value. Feedback welcome—let's refine trading edges together!
Golden Cross Screener [Pineify]Golden Cross Screener Pineify – Multi-Symbol Trend Detection Screener for TradingView
Discover the Golden Cross Screener Pineify for TradingView: a multi-symbol, multi-timeframe indicator for crypto and other assets. Customizable Golden Cross detection, robust algorithm, and intuitive screener design for smarter portfolio trend analysis.
Key Features
Multi-symbol screening across major cryptocurrencies or assets – BTCUSD, ETHUSD, XRPUSD, USDT, BNB, SOLUSD, DOGEUSD, TRXUSD (fully customizable).
Multi-timeframe analysis (e.g., 1m, 5m, 10m, 30m), enabling robust trend detection from scalp to swing.
Customizable Moving Average settings for both Fast and Slow MA (source and length).
Efficient screener table, highlighting Golden Cross events and current asset trends in one panel.
Visual cues for bullish, bearish, and cross states using intuitive color-coding and labels.
Flexible symbol and timeframe inputs to tailor the screener to any portfolio or watchlist.
How It Works
The Golden Cross Screener Pineify leverages the classic Golden Cross methodology—a bullish trend signal triggered when a shorter-term moving average crosses above a longer-term moving average. To improve robustness, you are empowered to configure both Fast MA and Slow MA periods and sources, making the detection logic applicable to any symbol, timeframe, or asset class.
Internally, the script runs dedicated calculations on each chosen symbol and timeframe, generating independent signals using exponential moving averages (EMA). Using the TradingView `request.security` function, it fetches and processes price data for up to eight portfolio assets on four timeframes, displaying the detected Golden Cross, Bullish, or Bearish states in a central screener table.
Trading Ideas and Insights
Spot emerging bullish or bearish trends across your favorite crypto pairs or trading assets in real time.
Capture prime opportunities when multiple assets align with Golden Cross signals—ideal for portfolio rebalancing or rotational strategies.
Analyze trend consistency by monitoring cross events at multiple timeframes for a given asset.
Swiftly identify when short-term and long-term momentum diverge—flagging potential reversals or trend initiations.
The Golden Cross Screener Pineify is not just a trend signal; it’s a holistic multi-asset scanner built for traders who know the power of combining technical breadth with agile timing.
How Multiple Indicators Work Together
This screener stands out with its modular approach: each asset/timeframe pair is monitored in isolation, yet displayed collectively for multidimensional market insight. Each symbol’s price action is processed through independently configured EMAs—Fast and Slow—whose crossovers are analyzed for directional bias. The implementation’s real innovation is in its screener table engine: it aggregates signals, synchronizes timeframes, and color-codes market states, allowing users to see confluences, divergences, and sector trends at a glance.
Combining Golden Cross detection with customizable moving averages and flexible multi-timeframe, multi-symbol scanning means users can fine-tune sensitivity, focus on specific signals, and adapt screener logic for scalping, swing trading, or investing.
Unique Aspects
True multi-symbol screener within the TradingView indicator framework.
Full customization of screener assets, timeframes, and moving averages.
Advanced, efficient use of TradingView table for clear, actionable visualization.
No dependency on standard, static MA settings—adjust everything to match your strategy.
Big-picture and granular trend detection in one tool, designed for both active traders and portfolio managers.
How to Use
Add the Golden Cross Screener Pineify to your TradingView chart.
Choose up to eight symbols—crypto, stock, forex, or custom assets.
Set four timeframes for screening, from lower to higher intervals.
Adjust moving average sources (price, close, etc.) and period lengths for both Fast and Slow MAs to suit your trading style.
Interpret table cells: clear labels and color indicate Golden Cross (trend shift), Bullish (uptrend), Bearish (downtrend) states for each symbol/timeframe.
React to signal alignments—deploy or rebalance positions, increase alert sensitivity, or backtest sequence confluences.
Customization
The indicator’s inputs panel gives full control:
Select which symbols to screen, making it perfect for any asset watchlist.
Pick the desired timeframes—mix daily, hourly, or minute-based intervals.
Adjust Fast and Slow MA settings: switch source type, change period length, and fine-tune detection logic as needed.
Style your screener table via TradingView settings (colors, font sizes, alignment).
Every element is customizable—adapt the Golden Cross Screener Pineify for your specific portfolio, trading timeframe, and strategy focus.
Conclusion
The Golden Cross Screener Pineify elevates multi-symbol trend detection to a new level on TradingView. By combining configurable Golden Cross logic with a powerful screener engine, it serves both precision and broad market insight—crucial for agile traders and strategic portfolio managers. Whether you’re tracking crypto pairs, stocks, forex, or a mix, this tool transforms static trend analysis into an active, multi-dimensional trading edge.
PRICE_EMA {S4SUSHO}Spot momentum transitions before the crowd — clarity meets precision with PRICE_EMA {S4SUSHO}.
This indicator helps you instantly identify higher-timeframe momentum shifts.
It highlights when the 20 EMA crosses the 200 EMA on weekly and monthly charts with distinct background colors and blended overlays when both align.
The script also plots tiny arrows where price crosses above or below the weekly 200 EMA, signaling potential long-term breakouts or breakdowns.
Clean, minimal, and designed for swing and positional traders who want fast visual confirmation of trend direction across multiple timeframes — without clutter.
