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Auto Supply and Demand and ICT ExecutionsAuto Supply and Demand and ICT Executions is a professional-grade technical analysis suite designed to automate the visualization of institutional market structure and "Smart Money" execution signals. By combining automated Supply/Demand zoning with key ICT (Inner Circle Trader) concepts, this indicator provides a complete roadmap for identifying high-probability reversal and continuation setups on any timeframe. Core Features: Auto Supply & Demand Zones: Automatically identifies and plots active Supply (Red) and Demand (Green) zones based on significant market structure pivots. Persistent Logic: Zones remain active on the chart until price "mitigates" (closes beyond) them, ensuring you never miss a retest of a key level. ATR Clutter Filter: Uses an Average True Range (ATR) algorithm to prevent zones from overlapping, keeping your chart clean and readable. ICT Execution Signals (MSS): Market Structure Shifts (MSS): Automatically detects valid shifts in market structure when price breaks a key structural high or low following a liquidity sweep. Instant Signal Labels: clearly labels breakout points with "MSS ↑" (Bullish) or "MSS ↓" (Bearish) tags. Auto Risk/Reward Projections: Upon detecting an MSS signal, the indicator instantly projects a Risk/Reward (R:R) Box (default 1:2) anchored to the breakout candle. This provides immediate, visual Take Profit (Green) and Stop Loss (Red) targets, allowing for instant trade assessment without manual measuring. Multi-Timeframe (MTF) Confluence: Projects Higher Timeframe (HTF) Zones (default: 15-minute) directly onto your current chart. This allows you to align your lower-timeframe entries (e.g., 1-minute) with the dominant institutional trend without switching screens. Institutional Concepts: Liquidity Sweeps: Highlights "Stop Hunt" pivots where price briefly breaches a recent swing high/low to trap traders before reversing. Fair Value Gaps (FVG): Visualizes historical price imbalances (gaps) where aggressive institutional buying or selling occurred. Silver Bullet Session: Automatically highlights the high-probability 10:00 AM - 11:00 AM NY trading window. How to Trade with This Indicator: Identify Structure: Wait for price to approach a Supply or Demand Zone (especially if it overlaps with an MTF Zone). Confirm the Sweep: Look for the "Sweep" label, indicating liquidity has been grabbed. Execute on Signal: Enter the trade when the "MSS" label appears, confirming the reversal. Manage the Trade: Use the automated R:R Box to set your Stop Loss and Take Profit levels.
Pine Script® 인디케이터
day_trade_mind의
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Pine Script® 인디케이터
wsajunaz의
ADR from 50 SMA - Histogram & LabelMore inside the script INDICATOR PURPOSE: This indicator measures how far price has moved from the 50-period SMA in terms of Average Daily Range (ADR). It helps identify: - When stocks are overextended and may be due for pullback/consolidation - Potential entry/exit points based on momentum extremes - Position trimming opportunities when price is stretched INTERPRETATION: - Positive values = Price is ABOVE the 50 SMA - Negative values = Price is BELOW the 50 SMA - Higher absolute values = More extreme/stretched moves - Values >2 or <-2 typically indicate overextended conditions
Pine Script® 인디케이터
Yen_Yen_의
Macro Risk SentimentOverview This indicator provides a simple traffic light for your trading: green means go, red means slow down. The background color appears directly on your price chart and in the oscillator pane below. When green, macro conditions favor risk assets and you can trade with full conviction. When red, the indicator suggests reducing position sizes, tightening stops, or stepping aside entirely. The oscillator pane shows the underlying calculation so you can see how close the market is to flipping regimes. The Core Idea Markets move in risk cycles. When institutional money is confident, it flows into equities, high-yield bonds, and away from safe havens. When fear takes over, money rotates into treasuries, the dollar strengthens, and volatility spikes. This indicator reads those flows by monitoring four markets simultaneously: Risk-On Signals (good for stocks when rising) TLT - Long-term Treasury bonds JNK - High-yield corporate credit Risk-Off Signals (bad for stocks when rising) DXY - US Dollar strength VIX - Market volatility When bonds and credit are strong relative to their recent history while the dollar and volatility are weak, the background turns green. You have a tailwind. When the opposite occurs, the background turns red. You are fighting the current. How It Works Step 1: Z-Score Normalization Each input is converted to a z-score: how many standard deviations the current value is from its 252-day rolling average. This puts all four inputs on a comparable scale regardless of their absolute price levels. Step 2: Composite Calculation Macro Score = (TLT z-score + JNK z-score) minus (DXY z-score + VIX z-score) Risk-on inputs contribute positively when elevated. Risk-off inputs subtract when elevated. The result is clamped between -1.5 and +1.5 and smoothed with EMAs. Step 3: State Machine The indicator uses crossover-based transitions with memory: RISK ON triggers when the smoothed macro line crosses above its signal line. RISK OFF triggers when the macro line crosses below its signal line, or when price breaks below its EMA while the macro value is negative (double confirmation exit). How to Use It Green Background - Full Steam Ahead Macro conditions support risk-taking. This is when trend-following strategies tend to work best. Use normal position sizes, take breakout trades, and hold winners longer. Red Background - Reduce Risk The macro wind is against you. Consider smaller positions, quicker profit-taking, or sitting out entirely. Mean-reversion setups may work better than trend-following during these periods. Many major drawdowns occur during red regimes. The Oscillator Pane The colored line is the macro reading, the white line is its signal. When the colored line crosses above the signal, conditions turn bullish. When it crosses below, conditions turn bearish. The zero line represents neutral. Positive values mean macro conditions are better than the one-year average. What Makes This Original This implementation combines z-score normalization across multiple asset classes with a state machine approach that reduces whipsaws. The price filter acts as a circuit breaker but only triggers exits when macro conditions are also deteriorating, preventing premature exits during temporary price weakness. Settings Guide Main Settings Z-Score Lookback (default 252) - Period for calculating mean and standard deviation. 252 bars equals one trading year on daily charts. Macro EMA (default 7) - Smoothing applied to the raw composite score. Signal EMA (default 8) - Secondary smoothing for the crossover signal line. Price Filter Enable Price Filter (default On) - When enabled, price breaking below the EMA triggers an exit only if the macro value is also negative. EMA Length (default 20) - The EMA period for the price filter. Data Sources Each source (TLT, JNK, DXY, VIX) can be enabled or disabled and weighted from 0 to 3. Default is equal weighting (1.0) for all sources. Limitations This is a daily-timeframe indicator. On intraday charts, signals reflect yesterday's macro reading until the day closes. The z-score lookback creates recency bias. What was normal over the past year may not reflect longer-term historical norms. Intermarket correlations can change. What worked in recent decades may shift in different monetary regimes. Not all equity drawdowns come with macro warning. Flash crashes and idiosyncratic events can occur without macro deterioration. The indicator identifies conditions, not predictions. Green does not guarantee gains. Red does not guarantee losses. Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Green background does not mean buy. Red background does not mean sell. These are environmental readings to help you calibrate your risk-taking, not trade signals. Past intermarket relationships do not guarantee future behavior. Always conduct your own research. Consider your personal risk tolerance. Never risk more than you can afford to lose.
Pine Script® 인디케이터
luiscaballero의
Crypto MACD SignalsUnlocking Enhanced Market Insights: A Next-Generation MACD Indicator for Cryptocurrency Trading Introduction: Beyond Traditional MACD In the vast landscape of technical analysis tools, the Moving Average Convergence Divergence (MACD) stands as one of the most ubiquitous and trusted momentum indicators. However, its classic formulation often leaves traders sifting through frequent crossovers, struggling to distinguish high-probability signals from market noise, especially in the volatile cryptocurrency markets. This script represents a significant evolution of the classic MACD, transforming it from a standalone oscillator into a comprehensive, multi-layered signal detection system. Its core originality lies not in reinventing the MACD calculation, but in augmenting it with proprietary filtering mechanisms, quantitative signal scoring, and visual prioritization to enhance decision clarity and timing. Core Functionality: What It Does and How It Achieves It This indicator, titled "Crypto MACD Signals," is a dedicated, non-overlay oscillator built for clarity and actionability. It performs three primary functions simultaneously: Enhanced MACD Visualization: It plots the traditional MACD line, Signal line, and Histogram with a refined color scheme. The histogram is dynamically colored (blue for bullish, orange for bearish) but introduces a key innovation: the identification of "Huge" or "Anomalous" Bars. A bar is highlighted in bright white when its size exceeds twice the 20-bar Simple Moving Average of the absolute histogram values. This instantly draws attention to moments of exceptional momentum surge or capitulation, which often precede significant trend accelerations or reversals. Context-Aware Signal Generation: Instead of marking every MACD line crossover, the script applies a crucial logical filter. It only plots a "BUY" signal (green upward triangle) when a bullish crossover occurs while the histogram is below the zero line. Conversely, a "SELL" signal (red downward triangle) is plotted only when a bearish crossover occurs while the histogram is above the zero line. This filter ensures signals are generated in the context of a potential trend reversal from an oversold or overbought state, rather than during the middle of a strong trend, dramatically increasing the signal's statistical edge. This aligns with a classic "Oscillator Reversal from Extremes" methodology within trend-following systems. Real-Time Performance Dashboard: A fixed table in the top-right corner serves as a live statistical dashboard. It tracks and displays the total count of: Generated Buy Signals Generated Sell Signals Total "Huge" Histogram Bars (both bullish and bearish) This provides traders with an at-a-glance understanding of recent market activity—whether it has been signal-rich or quiet, and the frequency of high-momentum events—aiding in assessing the current market regime (e.g., trending vs. consolidating). Implementation and Practical Usage The indicator is designed for tactical swing trading and momentum-based intraday positioning in crypto assets. Its primary use case is for identifying "Pullback Entries within a Trend" and "Early Trend Reversal Confirmations." For Trend-Following: A trader in an established uptrend would wait for a pullback that drives the MACD histogram negative. A subsequent bullish crossover that triggers a "BUY" signal, especially if accompanied by a "Huge" bullish histogram bar, offers a high-confidence entry point to re-join the trend. For Counter-Trend/Reversal Scenarios (Scalping): The script is highly effective for a specific scalping technique: "Fading Extreme Momentum Exhaustion." A cluster of "Huge" bearish bars followed by a diminishing histogram and a bullish crossover signal can indicate selling exhaustion, presenting a short-term long scalp opportunity. The inverse applies for short scalps. The labels ("🔥") and arrows provide clear visual cues for these setups directly on the chart. Workflow: Traders are advised to first observe the statistical table to gauge recent activity. Then, they should look for convergence between a filtered arrow signal (BUY/SELL) and the appearance of a "Huge" bar or a cluster of them. This multi-factor confirmation is the cornerstone of the strategy. Underlying Philosophy and Calculation Logic The script's intelligence is built on a layered philosophy of "Momentum Quantification and Contextual Validation." Dynamic Thresholding for Anomalies: The "Huge Bar" detection does not use a fixed threshold. By comparing the current histogram value to a recent average of absolute momentum (ta.sma(math.abs(hist_line), 20)), it creates an adaptive, market-responsive benchmark. A bar that is 200% larger than recent average momentum is statistically anomalous, suggesting institutional-sized order flow or a major shift in sentiment. This is a direct application of statistical volatility band principles to momentum, not price. Signal Filtering for Phase Alignment: The conditional logic for plotting arrows (bullish_cross and hist_line < 0) ensures the MACD crossover signal is aligned with the correct momentum phase of the market cycle. A buy signal is only valid if momentum (histogram) is coming from a "recharging" or bearish area (below zero), not when it's already extended above zero. This prevents buying at a peak and selling at a trough, which is a common pitfall of the raw indicator. This embodies the trading axiom: "Trade the turn, not the continuation." Quantitative Self-Awareness: The integrated counter and dashboard represent a meta-analysis layer. It allows the tool to provide feedback on its own performance density. A market generating many signals might be choppy and range-bound, while a market with few signals but several "Huge Bars" might be in a strong, steady trend. This helps the trader select the appropriate strategy (trend riding vs. reversal scalping) for the current environment. In essence, this script synthesizes several respected trading concepts: the core trend/momentum logic of MACD, the anomaly detection common to volatility-based indicators like Keltner Channels, and the signal-verification philosophy of multi-indicator systems—all packaged into a single, coherent, and visually intuitive tool specifically tuned for the unique amplitude and speed of cryptocurrency markets.
Pine Script® 인디케이터
neeson1987의
FADE GIGA CANDLE STRAT# 🔥 FADE GIGA CANDLE STRATEGY ## Overview The **Fade Giga Candle Strategy** is a contrarian trading indicator designed to identify extreme price movements (called "Giga Candles") and predict mean reversion opportunities. This strategy is specifically optimized for Polymarket's 15-minute crypto prediction markets (BTC, ETH, SOL, XRP) but can be applied to any timeframe. **Core Concept:** When price makes an unusually large move with extreme RSI and high volume, it often reverses in the next period. This indicator detects those moments and signals to "fade" (bet against) the move. --- ## 📊 What Does It Do? ### Signal Generation - **FADE BEARISH (📉)**: Detects massive green candles → Predicts price will go DOWN next - **FADE BULLISH (📈)**: Detects massive red candles → Predicts price will go UP next ### Real-Time Stats - Win Rate tracking - Total Return calculation - Expected Value (EV) analysis - Breakeven threshold display (57.14% for 75% win / 100% loss structure) ### Visual Alerts - Chart labels showing predictions - Background highlighting on signal candles - Stats table in top-right corner - RSI indicator with overbought/oversold zones --- ## ⚙️ How It Works ### 1. Giga Candle Detection The indicator analyzes the last 500 candles and identifies "Giga Candles" based on: - **Body Size Percentile** (default 93rd): Only the top 7% largest candles qualify - **Minimum Body %** (default 0.5%): Filters out noise on small moves ### 2. Confirmation Filters Before generating a signal, the indicator checks: **RSI Filter (Optional)** - RSI must be ≥70 (overbought) OR ≤30 (oversold) - Indicates price is at an extreme level **Volume Filter (Optional)** - Current volume must be ≥1.5x the 20-period average - Confirms the move has conviction ### 3. Fade Logic ``` IF Giga Green Candle + RSI Extreme + High Volume → FADE BEARISH (predict DOWN) IF Giga Red Candle + RSI Extreme + High Volume → FADE BULLISH (predict UP) ``` --- ## 🎛️ Settings & Parameters ### Giga Candle Detection | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Giga Candle Percentile** | 93.0 | 80-99 | Top X% of candles by body size. 93 = only top 7% qualify as "giga" | | **Min Body % (Safety)** | 0.5 | 0.1-2.0 | Minimum body size as % of price. Prevents false signals on low volatility | ### RSI Filter | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Use RSI Filter** | ON | ON/OFF | Require RSI to be extreme before signaling | | **RSI Length** | 14 | 5-50 | Period for RSI calculation | | **RSI Overbought** | 70 | 60-85 | Threshold for overbought condition | | **RSI Oversold** | 30 | 15-40 | Threshold for oversold condition | ### Volume Filter | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Use Volume Filter** | ON | ON/OFF | Require high volume before signaling | | **Volume SMA Length** | 20 | 10-50 | Period for average volume calculation | | **Volume Multiplier** | 1.5 | 1.0-3.0 | Current volume must be X times the average | ### Display Options - **Show Signal Labels**: Display prediction labels on chart - **Highlight Signal Candles**: Background color on signal bars - **Show Stats Table**: Performance statistics in top-right - **Enable Alerts**: Push notifications when signals occur --- ## 🚀 How to Use ### For Polymarket Trading (Recommended) 1. **Set timeframe to 15 minutes** (matches Polymarket market duration) 2. **Apply to BTC, ETH, SOL, or XRP charts** 3. **Wait for signal:** - 📉 FADE BEARISH → Buy "DOWN" on Polymarket - 📈 FADE BULLISH → Buy "UP" on Polymarket 4. **Hold until market resolves** (15 minutes) 5. **Track your performance** using the stats table ### For Regular Trading 1. Use on any liquid crypto market 2. When signal appears, consider entering a mean-reversion trade 3. Set stop-loss at 100% of entry (built into expected value calculation) 4. Take profit at 75% gain (matches the 57.14% breakeven math) ### Understanding the Stats Table **Win Rate**: Your prediction accuracy percentage - **Target: >57.14%** (breakeven for 75% win / 100% loss structure) - Green if profitable, red if unprofitable **Expected Value (EV)**: Average % return per trade - **Positive EV** = Strategy is profitable long-term - **Negative EV** = Strategy is losing long-term - Formula: `(WinRate% × 75) - (LossRate% × 100)` **Total Return**: Cumulative % gain/loss across all signals --- ## 📈 Interpretation Guide ### Strong Signals ✅ Large giga candle (top 3-5%) ✅ RSI >75 or <25 (very extreme) ✅ Volume >2x average ✅ Signal appears after sustained trend ✅ Win rate >60% in recent trades ### Weak Signals (Consider Skipping) ⚠️ Borderline giga candle (barely above threshold) ⚠️ RSI only slightly extreme (71 or 29) ⚠️ Volume just meets minimum (1.5x) ⚠️ Signal appears during choppy/sideways market ⚠️ Win rate <50% in recent trades --- ## 💡 Pro Tips ### 1. Timeframe Matters - **15-min**: Best for Polymarket, captures intraday exhaustion - **1-hour**: Better for swing trading - **5-min**: Too noisy, not recommended ### 2. Market Context - Works best in **trending markets** that overextend - Less effective in **tight ranges** (consolidation) - Avoid during **low liquidity** hours (weekends, holidays) ### 3. Filter Tuning **More Aggressive (More Signals)** - Lower Giga Percentile (90th) - Disable RSI filter - Lower volume multiplier (1.2x) **More Conservative (Fewer, Higher Quality)** - Raise Giga Percentile (95th) - Tighter RSI thresholds (75/25) - Higher volume multiplier (2.0x) ### 4. Bankroll Management - **Never bet >5% of capital** on a single signal - Maintain 20+ bet bankroll minimum - Use Kelly Criterion: `Bet% = (WinRate - LossRate) / 2` - Example: 60% win rate → Bet ~10% of bankroll ### 5. Track Your Performance - Monitor the stats table actively - If win rate drops below 55% for 20+ trades, **stop trading** - If EV goes negative, **reassess filters or market conditions** - Keep a trading journal outside the indicator --- ## ⚠️ Risk Disclosure ### Important Warnings 1. **Past performance ≠ future results**: Backtested win rates may not hold in live trading 2. **Market conditions change**: Strategy may stop working if market dynamics shift 3. **Gambler's ruin risk**: Even profitable strategies can lose multiple trades in a row 4. **Polymarket specific**: - Carries smart contract risk - Subject to liquidity constraints - Markets can resolve unexpectedly 5. **Not financial advice**: This is an educational tool, not a recommendation to trade ### Best Practices - Start with **small position sizes** to test - Track at least **50 signals** before evaluating performance - Consider **paper trading** first (simulated trades) - Never trade with money you can't afford to lose - Understand the **57.14% breakeven** requirement --- ## 🔧 Troubleshooting ### "No signals appearing" - Check if filters are too strict (try disabling RSI/Volume filters temporarily) - Reduce Giga Percentile to 90th - Ensure sufficient chart history loaded (>500 candles) ### "Too many signals" - Increase Giga Percentile to 95th - Enable both RSI and Volume filters - Raise volume multiplier to 2.0x ### "Win rate seems low" - Check if you're trading during low liquidity periods - Verify you're using 15-min timeframe for Polymarket - Consider market is in tight consolidation (strategy works best in trends) --- ## 📚 Technical Details ### Calculations - **Body Size**: `|close - open|` - **Body %**: `(bodySize / open) × 100` - **Giga Threshold**: `percentile_nearest_rank(last 500 candles, 93rd)` - **RSI**: Standard 14-period RSI - **Volume Ratio**: `current_volume / SMA(volume, 20)` ### Performance Tracking - Checks if previous signal was correct after 1 bar - Win = +75% to total return - Loss = -100% to total return - Win Rate = `(correct_predictions / total_signals) × 100` --- ## 🎯 Ideal Use Cases ### ✅ Perfect For: - Polymarket 15-minute crypto prediction markets - Mean-reversion trading on liquid crypto pairs - Contrarian traders who fade extremes - Systematic traders who follow rules-based signals ### ❌ Not Ideal For: - Trend-following strategies (this is contrarian) - Low volatility assets (needs large moves) - Illiquid markets (won't have "giga" candles) - Sub-5-minute scalping (too much noise) --- ## 📞 Support & Updates **Version**: 6.0 **Last Updated**: January 2025 **Compatible With**: TradingView Pine Script v6 ### Feedback Welcome If you find this indicator useful or have suggestions for improvement, please: - ⭐ Leave a rating - 💬 Comment with your results - 🚀 Share your settings for different markets **Good luck, and trade responsibly!** 🎯 --- ## Quick Start Checklist - Set timeframe to 15 minutes - Load BTC, ETH, SOL, or XRP chart - Verify stats table shows in top-right - Enable alerts for signal notifications - Start with paper trading to validate - Track at least 20 signals before going live - Never bet more than 5% of bankroll per trade - Monitor win rate and stop if <55% **Remember: The goal is >57.14% win rate for profitability!**
Pine Script® 인디케이터
Aigentswarmtrade의
Moon Declination & More [BlueprintResearch]🌒 MOON DECLINATION & MORE A comprehensive lunar declination visualization showing Moon, Sun, and node declinations, with phase coloring, zodiac sign tracking, and future projections. Part of the Blueprint Research open-source ephemeris project. █ WHAT'S INCLUDED • Moon Declination — The Moon's angular distance from the celestial equator, oscillating rapidly (~27 days) • Sun Declination — Optional overlay showing the Sun's seasonal declination (±23.4°) • Node Declinations — North (☊) and South (☋) node lines forming the Moon's orbital envelope • Future Projections — Project all lines up to 500 bars into the future • Zodiac Crossing Markers — Indicates when the North Node reaches a particular zodiac degree. Keep in mind, nodes move through the zodiac in reverse. █ CONCEPTS Declination measures how far north or south a celestial body appears from the celestial equator. The Moon's declination oscillates rapidly, while its maximum range shifts slowly over the 18.6-year nodal cycle. Node Declination Envelope: The North (☊) and South (☋) node lines mark the envelope of the Moon's orbit—the theoretical maximum northern and southern declinations the Moon can reach. Lunar Standstills: The 18.6-year nodal cycle determines when the Moon reaches its most extreme declinations. During a major standstill, the Moon can exceed ±28° declination. During a minor standstill, the Moon's range is limited to approximately ±18°. Out-of-Bounds (OOB): When the Moon moves beyond ±23.44° declination, it exceeds the Sun's maximum reach and is considered "Out of Bounds." █ COLORING OPTIONS Phase Coloring (Moon) Color the Moon's declination line by lunar phase: • New Moon (0-90°): Slate silver • First Quarter (90-180°): Mint • Full Moon (180-270°): Bright gold • Last Quarter (270-360°): Soft violet Zodiac Sign Coloring (Nodes) Color the node lines by their zodiac sign. When enabled, a color legend appears at the top, showing all 12 signs for reference. █ ZODIAC FEATURES Zodiac Sign Coloring Color the North and South Node lines according to their zodiac sign positions. Zodiac Crossing Marks when the North Node crosses a specific zodiac degree. Select any sign and degree (0-29) to track. The North Node moves retrograde through the zodiac over an 18.6-year cycle. █ RESEARCH FEATURES Standstill Thresholds Horizontal reference lines at key declination levels: • ±28.6° Major Standstill (peak of the 18.6-year cycle) • ±18.3° Minor Standstill (trough of the cycle) • ±23.4° Out-of-Bounds threshold OOB Highlighting Optional background shading when the Moon exceeds the OOB threshold. Node Equatorial Crossings Crosshair markers indicate when the node's declination crosses 0° (equatorial passage). Reference Line Labels Labels at projection endpoints with an adjustable offset for readability. █ FEATURES • Moon declination with optional lunar phase coloring • Sun declination overlay • North and South node declinations (☊ and ☋) • Future projections up to 500 bars • Zodiac sign coloring with a color legend • Zodiac degree-crossing markers • Node equatorial-crossing markers • Out-of-Bounds background highlighting • Reference line labels with offset control • Customizable line widths and colors • Informative tooltips for all settings • Works on all timeframes █ HOW TO USE 1 — Add the indicator to your chart 2 — Configure which elements to display (Moon, Sun, Nodes) 3 — Enable future projections to view upcoming declination values 4 — Enable Zodiac coloring to track node sign positions 5 — Set a Zodiac Crossing degree to mark when the North Node crosses that point 6 — Enable Standstill Thresholds to show reference lines 7 — Toggle phase coloring to visualize the lunar cycle █ THEORY Lunar Theory: ELP2000-82 by Chapront-Touzé & Chapront Solar Theory: VSOP87 for Sun position and phase calculation Reference: Meeus, "Astronomical Algorithms" (2nd Ed., 1998) █ LIMITATIONS • Truncated ELP2000-82 theory (~10 arcseconds precision) • Future projections assume consistent bar timing • Phase coloring uses 4 phases (not the 8 traditional phases) • Mean nodes only (no perturbation corrections) █ OPEN SOURCE Blueprint Research Ephemeris Libraries: • lib_elp2000_moon — Lunar position and mean node calculations • lib_vsop_core — Solar position and coordinate utilities • lib_ephemeris — Unified planetary API Third-Party Libraries: • hsvColor by @kaigouthro — HSV color utilities (MPL 2.0) © 2025-2026 BlueprintResearch (Javonnii) • CC BY-NC-SA 4.0
Pine Script® 인디케이터
BlueprintResearch의
[PAPI] TF-OBV-ATR-Weighted MACDThis is a MACD indicator with a few differences: Multi-Timeframe: The indicator calculates the "MACD", the "Signal" and the "Histogram" for four user-defined timeframes. Volume weighted: The three MACD variables calculated for each timeframe above are weight-averaged according to On Balance Volume (OBV). Volatility weighted: The three MACD variables calculated for each time frame above are also weight-averaged according to Average True Range (ATR) The MACD, Signal and Histogram are plotted. I use the indicator twice. Once with the user defined Timeframes set to high TFs (Month/Week/Day/4h) - this is for directional bias. And once with lower TFs (1m/3m/15m/1h).
Pine Script® 인디케이터
papichulo2x69의
[PAPI] TF-OBV-ATR-Weighted MACDThis is a MACD indicator with a few differences: Multi-Timeframe: The indicator calculates the "MACD", the "Signal" and the "Histogram" for four user-defined timeframes. Volume weighted: The three MACD variables calculated for each timeframe above are weight-averaged according to On Balance Volume (OBV). Volatility weighted: The three MACD variables calculated for each time frame above are also weight-averaged according to Average True Range (ATR) The MACD, Signal and Histogram are plotted. I use the indicator twice. Once with the user defined Timeframes set to high TFs (Month/Week/Day/4h) - this is for directional bias. And once with lower TFs (1m/3m/15m/1h).
Pine Script® 인디케이터
papichulo2x69의
Hedge Fund Trading System Core Components 1. Factor Model The heart of HFTS is a four-factor scoring system: Value Factor: Measures price deviation from fair value (historical mean). Positive scores indicate undervaluation; negative scores indicate overvaluation. Momentum Factor: Risk-adjusted momentum measuring recent returns relative to volatility. Identifies trending strength. Carry Factor: Approximates institutional carry trades using price structure analysis (configurable methods). Macro Regime: Long-term trend regime detection (BULL/BEAR/NEUTRAL) using slope-normalized moving averages. Each factor is normalized and combined into a Combined Factor Score ranging from -1 (extremely bearish) to +1 (extremely bullish). 2. Trend Filter (EMA Cloud) Triple EMA system (21/55/200) providing: Short-term trend direction (Fast vs Slow EMA) Macro trend context (200 EMA) Visual cloud for trend state 3. Adaptive Volatility Bands Dynamic bands that expand/contract based on current volatility regime: HIGH volatility: Bands expand (wider stops needed) LOW volatility: Bands contract (tighter entries possible) NORMAL: Standard deviation 4. Volume Profile & VWAP Volume Profile: Shows price levels with highest trading activity POC (Point of Control): Highest volume price level Value Area (VAH/VAL): 70% of volume concentrated zone VWAP + Deviation Bands: Institutional execution benchmark 5. Risk Management Panel Real-time position sizing and risk metrics: Calculated position size based on account risk % Stop distance (ATR-based) Drawdown tracking with kill switch Directional bias status Z-Score Trading Strategy The Z-Score is your mean reversion radar. It measures how many standard deviations price is from its 20-period mean. Z-Score Levels: Z-ScoreConditionMeaning> +2.5Extreme Overbought🔶 Diamond marker appears - potential short setup> +2.0OverboughtPrice extended above mean-2.0 to +2.0Normal RangeNo extreme conditions< -2.0OversoldPrice extended below mean< -2.5Extreme Oversold🔷 Diamond marker appears - potential long setup How to Trade Z-Score Signals: Mean Reversion Longs (Z < -2.0): Wait for Z-Score to drop below -2.0 (oversold) Look for diamond marker at extreme (-2.5) Confirm Macro Regime is NOT "BEAR" Enter when Z-Score starts turning UP (reversal confirmation) Target: VWAP or Vol Band Basis (mean) Stop: Below recent swing low or Vol Band Lower Mean Reversion Shorts (Z > +2.0): Wait for Z-Score to rise above +2.0 (overbought) Look for diamond marker at extreme (+2.5) Confirm Macro Regime is NOT "BULL" Enter when Z-Score starts turning DOWN Target: VWAP or Vol Band Basis Stop: Above recent swing high or Vol Band Upper Z-Score + Factor Confluence: The best mean reversion trades occur when: Z-Score hits extreme AND Value Factor confirms (undervalued for longs, overvalued for shorts) AND Price is at/beyond Volatility Band AND Volume spike confirms institutional participation Signal Types Trend Signals (Green/Red Triangles) Long Setup: Trend UP (Fast EMA > Slow EMA) Pullback to support (between Vol Band Lower and Basis) Price crosses back above Fast EMA Factor Score > 0 Above VWAP (if confirmation enabled) Short Setup: Trend DOWN (Fast EMA < Slow EMA) Rally to resistance (between Vol Band Upper and Basis) Price crosses below Fast EMA Factor Score < 0 Below VWAP (if confirmation enabled) Mean Reversion Signals Automatically generated when Z-Score conditions + regime filters align. Recommended Settings by Asset AssetTick ValueTick SizeNotesNQ (Nasdaq Futures)5.000.25High volatility, widen bandsES (S&P Futures)12.500.25Standard settings work wellStocks0.010.01Default settingsCrypto0.010.01Consider higher ATR multiplier Pro Tips Factor Alignment: Only take signals when Combined Factor Score matches your trade direction Volatility Regime: Reduce size in HIGH volatility; increase in LOW volatility VWAP as Magnet: Price tends to revert to VWAP - use for targets POC Support/Resistance: Volume Profile POC acts as strong S/R Drawdown Kill Switch: If Risk State shows "STOPPED" - step away and reassess Z-Score Extremes: The best mean reversion trades come from -2.5/+2.5 levels, not -2.0/+2.0 Alerts Available Long/Short Signal triggers Extreme Overbought/Oversold conditions VWAP crosses Drawdown limit breach
Pine Script® 인디케이터
Smalldikenergy의
HFTS - Z-Score Mean ReversionCore Concept The indicator calculates a Z-Score — a statistical measure showing how many standard deviations price is from its mean. When price stretches too far from the mean (into extreme territory), it tends to revert back, creating trading opportunities. How It Works Z-Score Calculation: Takes a moving average (default 20 bars) and standard deviation of your chosen source (default: close) Z-Score = (Price - Mean) / Standard Deviation Applies smoothing (default 3-period SMA) to reduce noise Includes a 9-period EMA signal line for crossover context Zone Detection: Overbought: Z-Score ≥ 2.0 (price is 2+ standard deviations above mean) Oversold: Z-Score ≤ -2.0 (price is 2+ standard deviations below mean) Reversal Signals: Triangles plot when Z-Score exits extreme zones (not enters) — this is the mean reversion trigger Short signal: Z-Score drops back below overbought level Long signal: Z-Score rises back above oversold level Visual Features Volume Profile overlay showing where volume clustered at different Z-Score levels over your lookback period — helps identify high-volume-node zones where reversions may stall or accelerate Info table displaying current Z-Score value, zone status, and momentum direction Gold accent when in extreme zones, white line in neutral territory
Pine Script® 인디케이터
Smalldikenergy의
MA4 Alignment with Forward ProjectionThis indicator is a moving-average alignment and projection overlay built on a simple core idea: MA4 (a 4-period moving average) represents the current short-term mean of price. MA4 is the prior value of that same moving average, used as a 1-bar delayed reference. From those two series, the script provides four layers of information: Live alignment (MA4 vs MA4 ) A forward projection of a sampled historical MA pattern Projected cross markers (vertical lines) when the projected MA4 would cross projected MA4 A compact table summarizing current alignment and the most recent live cross event This is designed to help traders visualize: whether short-term mean behavior is strengthening or weakening, and where a future cross could plausibly occur if a selected historical pattern repeats. This script is informational only and does not place trades. Chart Setup Note (Important) Because this tool samples a historical pattern window and projects it forward, it is important to let the chart fully load/merge historical data before interpreting the projection. If the chart history is not fully loaded, the sampled window may be incomplete, which can shift the projection and projected cross markers. Once the chart is fully merged, the projection remains stable and consistent during scrolling and replay. What Makes It Different This is not a basic “MA crossover” indicator. The core differentiator is: The script extracts a historical MA4 pattern from a user-defined window, shifts it forward into the future, and marks projected future crosses between the projected MA4 and projected MA4 . It also builds projected deviation envelopes from the sampled window and uses those envelopes for optional stretch/invalidation alerts. How the Projection Works (Concept) 1) Sample a historical MA “pattern window” You define a window in the past using: Pattern Start (bars back) Pattern End (bars back) The script collects MA4 values across that window into an internal pattern array. 2) Shift the pattern forward Shift Pattern Forward (bars) controls how far into the future the sampled pattern is plotted. 3) Delta-anchor projection (optional) If Delta-anchor projection is enabled, the script projects the shape of the pattern while re-centering it around the current MA4 level. This keeps the projection visually relevant to current price scale instead of “pasting” old absolute values. Projected Cross Vertical Lines When projection is enabled, the script checks for projected cross events: Bull projected cross: projected MA4 rises through projected MA4 Bear projected cross: projected MA4 falls through projected MA4 When a projected cross occurs, a vertical line marks that projected bar as a possible timing point. Vertical line visibility is made more consistent by using a deviation-based height (with ATR fallback) so the marker remains readable across different symbols and volatility regimes. Projected Deviation Envelopes + Alerts (Band 3 / Band 4) The script measures historical deviation from MA4 within the sampled window using the standard deviation of: (close − MA4) That deviation is then applied to the projected MA4 path to form projected envelopes: Band 3 (Stretch): ±(StDev × 1.618 by default) Band 4 (Invalidation): ±(StDev × 2.618 by default) Optional alerts can trigger when price breaches these projected envelopes: Band 3 Breach: price stretched outside the projected range Band 4 Breach: price exceeded the larger projected boundary (often treated as invalidation context) Alerts can be set to use wicks or close. Table: What It Shows The table summarizes the current state at a glance: MA4 value MA4 value Alignment: Bullish / Bearish / Neutral Most recent live cross event: BUY (MA4 crossed above MA4 ) SELL (MA4 crossed below MA4 ) This helps confirm what you’re seeing without relying on visual estimation. How to Use It (Simple Workflow) Read live alignment MA4 above MA4 = bullish bias MA4 below MA4 = bearish bias Enable projection for timing awareness Turn on Projection Watch projected cross VLines as “possible next inflection timing” markers Use Band 3 / Band 4 as context Band 3 breach can indicate stretch vs the projected path Band 4 breach can indicate the projected path is less reliable (invalidation context) Use the table for quick confirmation It summarizes alignment and the latest live cross state.
Pine Script® 인디케이터
Dinjin의
Multi-Session H/L - Sweep & Grab v5# Multi-Session High/Low Levels with Liquidity Sweep & Grab Detection ## Overview This indicator automatically identifies and plots the High and Low levels of key trading sessions (Asia, London, New York AM, New York PM) and Previous Day levels. It features advanced **Liquidity Sweep** and **Liquidity Grab** detection based on ICT/SMC methodology. ## Key Features ### 📊 Multi-Session Tracking - **Asia Session** - Captures the Asian trading range - **London Session** - Tracks the London open volatility - **New York AM Session** - Monitors the NY morning session - **New York PM Session** - Follows the afternoon price action - **Previous Day High/Low** - Key daily reference levels ### 💧 Liquidity Detection (ICT/SMC Concepts) **Liquidity Grab:** - Detected when price **wicks through** a level but **closes back** inside - Single candle event with rejection - Often signals a potential reversal - Label shows: `"Session H/L (Grab)"` **Liquidity Sweep:** - Detected when price **closes beyond** the level - Indicates liquidity has been fully taken - Label shows: `"Session H/L (Swept)"` ### 🎯 Visual Features - Lines automatically **stop at the candle** where liquidity was grabbed or swept - Different line styles for Active / Grabbed / Swept levels - Customizable colors for each session - Optional session background highlighting - Information table showing all levels and their status ### ⚙️ Customization Options - Adjustable session times for any timezone (GMT+0 to GMT+5) - Calculation timeframe selection - Line width and style settings - Label size options - Toggle each session on/off - "Stop Line on Grab" option ### 🔔 Alerts - Separate alerts for **Liquidity Grab** events - Separate alerts for **Liquidity Sweep** events - Available for all sessions and Previous Day levels ## How to Use 1. **Identify Key Levels:** The indicator automatically marks session highs and lows 2. **Watch for Liquidity Events:** Monitor when price approaches these levels 3. **Grab = Potential Reversal:** A liquidity grab (wick rejection) often signals smart money has collected orders and price may reverse 4. **Sweep = Liquidity Taken:** A sweep (close beyond level) confirms the liquidity pool has been cleared 5. **Plan Your Trades:** Use these levels in confluence with other SMC concepts like Fair Value Gaps (FVG) and Order Blocks (OB) ## Status Colors in Table - 🟢 **Green (Active)** - Level has not been touched - 🟠 **Orange (Grab)** - Wick touched the level, potential reversal zone - 🔴 **Red (Swept)** - Close beyond level, liquidity fully taken ## Settings Explained | Setting | Description | |---------|-------------| | Calculation Timeframe | Timeframe used for session calculations | | Timezone | Your broker's timezone (GMT+0 to GMT+5) | | Extend Lines | Extend active lines into the future | | Stop Line on Grab | If enabled, lines stop when grabbed (not just swept) | | Swept/Grab Line Style | Visual differentiation for liquidity events | ## Notes - Works on all markets (Forex, Crypto, Stocks, Indices, Commodities) - Best used on timeframes from 1min to 1H - Session times are fully customizable to match your time zone - The indicator respects the ICT/SMC definition where a **Grab** is a single-candle wick rejection and a **Sweep** involves price closing beyond the level
Pine Script® 인디케이터
cata_wst22의
Cycles by AlgoKingsCycles by AlgoKings RISK DISCLAIMER: This indicator is an analytical tool for educational purposes only, not financial advice. Trading carries substantial risk of loss. This tool does not guarantee profitable trades. Always use proper risk management and never risk more than you can afford to lose. WHAT ARE CYCLES? Cycles visualizes institutional time windows and key opening price levels. Instead of analyzing price patterns, this indicator segments the trading day into institutional order flow periods (90-minute, 30-minute, 10-minute cycles) and marks significant opening prices (session, daily, weekly, monthly, yearly) that often act as reference points for intraday price action. Example: The 09:30 open price marks the start of regular US equity trading and often serves as a pivot level throughout the day. The London 1 (LN 1) 90-minute cycle from 02:30-04:00 EST represents the first institutional accumulation window. UNDERLYING METHODOLOGY This indicator combines three analytical layers: 1. INTRADAY CYCLE SEGMENTATION Divides the trading day into institutional time windows: ASIA SESSION: 18:00-02:30 EST (overnight session before London open) 90-MINUTE CYCLES: Nine windows per trading day aligned with ICT methodology: - LN 1, LN 2, LN 3: London session (02:30-04:00, 04:00-05:30, 05:30-07:00) - AM 1, AM 2, AM 3: New York AM session (07:00-08:30, 08:30-10:00, 10:00-11:30) - PM 1, PM 2, PM 3: New York PM session (11:30-13:00, 13:00-14:30, 14:30-16:00) Technical implementation: - 90m detection: Calculates ((hour * 60 + minute) - 150) % 90 == 0 to identify cycle boundaries from 02:30 EST baseline - Session boundaries: Tracks inSession flag using time("", "0230-1600", gTimezone) to detect entry/exit from trading window - Index tracking: Maintains counter (1-9) to assign sequential names (LN 1, AM 2, etc.) and color rotation (A/M/D pattern) Color coding: Each 90m cycle alternates three colors in A-M-D pattern (Accumulation-Manipulation-Distribution phases based on ICT concepts) 30-MINUTE CYCLES: 27 windows per trading day (2:30-16:00 EST), color-coded in A-M-D triplet pattern 10-MINUTE CYCLES: 81 windows per trading day (2:30-16:00 EST), single color for all Cycle visualization: - Box backgrounds highlight time ranges - High/low tracked dynamically as cycle forms - EQ (equilibrium) line at midpoint for 90m cycles - Borders (optional) delineate cycle boundaries 2. OPENING PRICE TRACKING Marks key opening levels that serve as institutional reference points: SWING OPENS: - Year Open: First price of calendar year - Quarter Open: First price of Q1, Q2, Q3, Q4 - Month Open: First price of calendar month - Week Open: First price of Sunday 18:00 EST (Monday for crypto) INTRADAY OPENS: - 00:00 Open: Midnight EST (new trading day for 24h markets) - 09:30 Open: US equity market open - Current Cycle Open (C.O): Opening price of most recent 90m cycle Technical implementation: - Period opens: Uses request.security to detect new bar on higher timeframe (time != previous time ) - Timed opens: Pattern matches hour/minute (e.g., hour==9 and minute==30 for 09:30) - Line extension: Opens extend right dynamically (end = time + offset) to stay visible History parameter controls how many previous opens to display per type. 3. OVERLAP CONSOLIDATION When multiple opens share the same price level, consolidates into single visual: ALGORITHM: At barstate.islast, compares all active Level objects by price coordinate. When match found, merges labels into combined text with bullet separator (e.g., "M.O, W.O •" indicates Month Open and Week Open coincide). Lower precedence level undrawn, higher precedence level preserves visual with concatenated tooltip. This prevents chart clutter when weekly, monthly, or quarterly opens align at same price. WHY CLOSED-SOURCE? This script protects proprietary algorithms: - 90m cycle detection: Custom time arithmetic ((hour * 60 + minute) - 150) % 90 == 0 that calculates exact 90-minute boundaries from 02:30 baseline, with session boundary detection to exclude overnight periods - Cycle index management: State machine that resets index to 1 on session start, increments through 1-9, applies modulo arithmetic for color rotation (index % 3), and assigns sequential names based on position - Dynamic range tracking: Real-time high/low updating during cycle formation (h = math.max(h, high), l = math.min(l, low)) with isFinal flag transition when cycle completes - Timed open detection: Pattern matching on hour/minute combinations with timezone conversion (gTimezone = "America/New_York") and proper handling of 24h markets vs traditional session starts - Overlap consolidation: Price-based comparison of all Level objects at barstate.islast, string concatenation of names, selective undrawing to maintain single visual per price level - Day of week positioning: Complex time offset calculations (newNoonTime = time - D/2, newMidTime for Sunday handling) to center labels at day midpoints considering crypto 24/7 vs traditional market schedules Standard cycle indicators show fixed time periods. This script provides ICT-aligned institutional windows with smart label management and multi-timeframe open tracking. TECHNICAL COMPONENTS Core structures: - Security Object: Stores timeframe data (open, time, time ) from request.security calls, maintains isNew flag for cycle detection - Range Object: Represents cycle box with coordinates (start, end, h, l), isFinal state, drawing objects (box, label, eq line) - Level Object: Represents open price line with coordinates (price, start, end, startCtf), isFinal state, drawing objects (line, label) - Option Object: Centralized settings container with cycle-specific overrides for colors, styles, history counts Cycle detection patterns: - 90m: if (security.isNew and ((hour * 60 + minute) - 150) % 90 == 0 and inSession) - 30m: if (security.isNew and inSession), index cycles 1-2-3 for color - 10m: if (security.isNew and inSession) - Period opens: if (security.isNew) on higher timeframe - Timed opens: if (security.isNew and hour == h and minute == m) Extension logic: - Ranges: end = time, h = max(h, high), l = min(l, low) while not isFinal - Levels: end = time + offset (offset = ctfSeconds * 12000 for far-right placement) HOW TO USE Setup: 1. Apply to intraday chart (works best on 1m-30m timeframes) 2. Enable/disable cycle types in Time Cycles section 3. Enable/disable open types in Opens section 4. Configure History to control how many days/periods to show 5. Adjust colors and line styles to preference Chart Timeframe Requirements: Designed for intraday charts (seconds to 30m). Higher timeframes (1H+) will show opens but cycles may not display properly. Interpretation: CYCLES (Box Backgrounds): - ASIA = Gray box covering 18:00-02:30 EST - LN 1/2/3 = Blue/Red/Green boxes (London 90m cycles) - AM 1/2/3 = Blue/Red/Green boxes (NY morning 90m cycles) - PM 1/2/3 = Blue/Red/Green boxes (NY afternoon 90m cycles) - 30m/10m = Smaller nested cycles within 90m windows - EQ line = 50% equilibrium level within 90m cycle range OPENS (Horizontal Lines): - C.O = Current 90m cycle open (most recent) - 00:00 = Midnight EST open - 09:30 = US equity market open - W.O = Week open (Sunday 18:00) - M.O = Month open - Q.O = Quarter open - Y.O = Year open - Bullet (•) in label = Multiple opens at same price DAY OF WEEK: - Labels at chart bottom (Monday, Tuesday, etc.) - Vertical dividers at midnight (optional) SETTINGS EXPLAINED Time Cycles: - Asia: Enable/disable Asia session box (18:00-02:30 EST) with color picker - 90m Cycle: Enable/disable 90m windows with three color pickers (A/M/D phases) - 90m EQ: Show/hide equilibrium line at midpoint of 90m cycles - 30m Cycle: Enable/disable 30m windows with three color pickers - 10m Cycle: Enable/disable 10m windows with single color - Label: Size for cycle names (LN 1, AM 2, etc.) - Border: Show/hide cycle box outlines with style picker - History (Days): Number of days to show cycles (0-4) Opens: - Label: Color and size for all open price labels - Line Width: Thickness for all open price lines - Current Cycle: Enable/disable C.O (current 90m cycle open) - 00:00: Enable/disable midnight open with color and history count - 09:30: Enable/disable equity market open with color and history count - Week: Enable/disable weekly open with color and history count - Month: Enable/disable monthly open with color and history count - Quarter: Enable/disable quarterly open with color and history count - Year: Enable/disable yearly open with color and history count History count determines how many previous opens to display (e.g., History=2 for Weekly shows this week and last week's opens) Day of Week: - Day: Enable/disable day name labels at chart bottom - Divider: Enable/disable vertical lines at midnight boundaries with style picker UPDATES This script is actively maintained. Updates released through TradingView's native update system. For technical questions, use the comment section below.
Pine Script® 인디케이터
AlgoKings_Official의