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Oscillateurs

PDB - RSI Buy & Sell Zones + SMA (PrintDemBandz)PDB - RSI Buy & Sell Zones A clean, upgraded version of the RSI with shaded momentum zones to make entries and exits easier to spot. The background is divided into five color-coded zones so you instantly see when the market is shifting from bullish to bearish momentum. Shaded Zones Explained: | Zone | RSI Range | Zone Meaning | | --------------------------- | --------- | ----------------------------------------------------- | | Strong Buy (Dark Green) | < 30 | Oversold extreme – high probability bounce zone | Buy Zone (Light Green) | 30–40 | Early accumulation & potential reversal area | Neutral (Grey) | 40–60 | No edge zone – stay patient and wait for direction | | Sell Zone (Light Red) | 60–70 | Market heating up – take profit or prepare to short | | Strong Sell (Dark Red) | > 70 | Overbought extreme – high probability correction zone | A dashed midline at 50 helps instantly gauge trend bias (above = bullish, below = bearish). Use this RSI alone or combine with MACD or MA for stronger confirmations. Search "PDB" in the indicators section for more free indicators.
Indicateur Pine Script®
par PrintDemBandz
Liquidity Grab + RSI Divergence═══════════════════════════════════════════════════════════════ LIQUIDITY GRAB + RSI DIVERGENCE INDICATOR ═══════════════════════════════════════════════════════════════ 📌 OVERVIEW This indicator identifies high-probability reversals by combining: • Liquidity sweeps (stop hunts) • RSI divergence confirmation • Filters false breakouts automatically ═══════════════════════════════════════════════════════════════ 🟢 BUY SIGNAL (Green Triangle Up) REQUIRES BOTH CONDITIONS: 1. Liquidity Grab Below Previous Low • Price breaks BELOW recent low • Candle CLOSES ABOVE that low • Traps sellers who shorted the breakdown 2. Bullish RSI Divergence • Price: Lower Low (LL) • RSI: Higher Low (HL) • Shows weakening downward momentum ➜ Result: Potential bullish reversal ═══════════════════════════════════════════════════════════════ 🔴 SELL SIGNAL (Red Triangle Down) REQUIRES BOTH CONDITIONS: 1. Liquidity Grab Above Previous High • Price breaks ABOVE recent high • Candle CLOSES BELOW that high • Traps buyers who bought the breakout 2. Bearish RSI Divergence • Price: Higher High (HH) • RSI: Lower High (LH) • Shows weakening upward momentum ➜ Result: Potential bearish reversal ═══════════════════════════════════════════════════════════════ 📊 VISUAL INDICATORS Main Signals: 🔺 Large Green Triangle = BUY (Liq Grab + Bullish Div) 🔻 Large Red Triangle = SELL (Liq Grab + Bearish Div) Reference Levels: ━ Red Line = Previous High Level ━ Green Line = Previous Low Level Additional Markers (Optional): ○ Small Green Circle = Liquidity grab low only ○ Small Red Circle = Liquidity grab high only ✕ Small Blue Cross = Bullish divergence only ✕ Small Orange Cross = Bearish divergence only ═══════════════════════════════════════════════════════════════ ⚙️ SETTINGS 1. Lookback Period (Default: 20) • Range: 5-100 • Sets how far back to identify previous highs/lows • Higher = fewer but stronger levels • Lower = more frequent but weaker levels 2. RSI Length (Default: 14) • Range: 5-50 • Standard RSI calculation period • 14 is industry standard 3. RSI Divergence Lookback (Default: 5) • Range: 3-20 • Controls pivot point sensitivity • Higher = fewer divergence signals • Lower = more divergence signals 4. Show Labels (Default: ON) • Toggle BUY/SELL text labels • Disable for cleaner chart view ═══════════════════════════════════════════════════════════════ 💡 HOW TO USE Step 1: WAIT FOR CONFIRMATION • Only trade LARGE TRIANGLE signals • Ignore small circles/crosses alone Step 2: CHECK TIMEFRAME • Best on: 15min, 1H, 4H, Daily • Avoid: 1min, 5min (too noisy) Step 3: CONFIRM CONTEXT • Check overall market trend • Identify key support/resistance • Look for confluence with price action Step 4: ENTRY & RISK MANAGEMENT • Enter on signal candle close or pullback • Stop loss below/above the liquidity grab wick • Target: Previous swing high/low or key levels • Risk/Reward: Minimum 1:2 ratio Step 5: SET ALERTS • Create alert for "BUY Signal" • Create alert for "SELL Signal" • Never miss opportunities ═══════════════════════════════════════════════════════════════ ✅ BEST PRACTICES DO: ✓ Use on multiple timeframes for confluence ✓ Combine with support/resistance zones ✓ Wait for both conditions (liq grab + divergence) ✓ Practice on demo account first ✓ Use proper position sizing DON'T: ✗ Trade every small circle/cross ✗ Use on very low timeframes (<15min) ✗ Ignore overall market context ✗ Trade without stop loss ✗ Risk more than 1-2% per trade ═══════════════════════════════════════════════════════════════ ⚠️ IMPORTANT NOTES • This is a CONFIRMATION tool, not a holy grail • No indicator is 100% accurate • Combine with your trading strategy • Backtest on your preferred instruments • Adjust parameters for your trading style • Higher timeframes = more reliable signals • Always use risk management ═══════════════════════════════════════════════════════════════ 🔔 ALERTS INCLUDED Two alert conditions are built-in: 1. "BUY Signal" - Liquidity Grab + Bullish RSI Divergence 2. "SELL Signal" - Liquidity Grab + Bearish RSI Divergence ═══════════════════════════════════════════════════════════════ 📈 RECOMMENDED SETTINGS BY TIMEFRAME 5-15 Min Charts: • Lookback: 10-15 • RSI Length: 14 • RSI Div Lookback: 3-5 1H-4H Charts: • Lookback: 20-30 • RSI Length: 14 • RSI Div Lookback: 5-7 Daily Charts: • Lookback: 30-50 • RSI Length: 14 • RSI Div Lookback: 7-10 ═══════════════════════════════════════════════════════════════ Good luck and trade safe! 🚀
Indicateur Pine Script®
par hassanejaz1
Reverse RSI LevelsSimple reverse RSI calculation As default RSI values 30-50-70 are calculated into price. This can be used similar to a bollinger band, but has also multiple other uses. 70 RSI works as overbought/resistance level. 50 RSI works as both support and resistance depending on the trend. 30 RSI works as oversold/support level. Keep in mind that RSI levels can go extreme, specially in Crypto. I haven't made it possible to adjust the default levels, but I've added 4 more calculations where you can plot reverse RSI calculations of your desired RSI values. If you're a RSI geek, you probably use RSI quite often to see how high/low the RSI might go before finding a new support or resistance level. Now you can just put the RSI level into on of the 4 slots in the settings and see where that support/resistance level might be on the chart.
Indicateur Pine Script®
par GizmoTheInvestor
NEURAL FLOW INDEX — Core Energy • Momentum Stream • Pulse SyncNeural Flow Index (NFI) — Advanced Triple-Layer Reversal Framework The Neural Flow Index (NFI) is a next-generation market oscillator designed to reveal the hidden synchronization between trend energy, cyclical momentum, and internal pulse dynamics. It merges three powerful analytical layers into a single, normalized view: Core Energy Curve (based on RSO logic) — captures structural trend bias and volatility expansion. Momentum Stream (WaveTrend algorithm) — visualizes cyclical motion of price waves. Pulse Sync (Stochastic RSI adaptation) — measures short-term momentum rhythm and overextension. Each layer feeds into a unified flow model that adapts to both trend-following and reversal conditions. The goal is not to chase every fluctuation, but to sense where momentum, direction, and volatility converge into true inflection points. Conceptual Mechanics The oscillator translates complex market behavior into an elegant, multi-phase signal system: Core Energy Curve (RSO foundation): A smoothed dynamic field representing the overall strength and direction of market pressure. Green energy indicates expansion (bullish dominance); red energy reflects contraction (bearish decay). Momentum Stream (WaveTrend): The teal line functions like an electro-wave, oscillating through phases of expansion and exhaustion. It provides the heartbeat of the market — smooth, rhythmic, and beautifully cyclic. Pulse Sync (Stochastic RSI): The purple line acts as the market’s nervous pulse, reacting to micro-momentum changes before the larger trend adjusts. It identifies micro-tops and micro-bottoms that precede major trend shifts. When these three forces align, they create high-probability reversal zones known as Neural Nodes — regions where energy, momentum, and rhythm converge. Trading Logic Potential Entry Zones: When the purple Pulse Sync line crosses the green Momentum Stream near the lower or upper bounds of the oscillator, a potential turning point forms. Yet, these crossovers are only validated when the Core Energy histogram (RSO) simultaneously supports the same direction — confirming that energy and rhythm are synchronized. Histogram Confirmation: The histogram is the “voice” of the oscillator. Rising green volume within the histogram during a Pulse-Momentum crossover suggests a legitimate upward reversal. Conversely, expanding red energy during an upper-band cross indicates momentum exhaustion and an early short-side opportunity. Neutral Zones: When all three layers flatten near the zero line, the market enters an equilibrium phase — no clear trend dominance, ideal for patience and re-entry planning. | Layer | Representation | Color | Function | | --------------------- | ------------------- | ----------------- | ------------------------------ | | **Core Energy Curve** | Area / Histogram | Lime-Red gradient | Trend bias & volatility energy | | **Momentum Stream** | WaveTrend line | Teal | Cyclical flow of price | | **Pulse Sync** | Stochastic RSI line | Purple | Short-term momentum rhythm | Interpretation Summary Converging Waves: Trend, momentum, and pulse move together → strong continuation. Diverging Waves: Pulse or Momentum decouple from Core Energy → early reversal warnings. Histogram Expansion: Confirms direction and strength of the new wave. Crossovers at Extremes: Potential entries, especially when confirmed by energy alignment. 🪶 Philosophy Behind NFI The Neural Flow Index is not just a technical indicator — it’s a behavioral visualization system. Instead of focusing on lagging confirmations, it captures the neural pattern of price motion: how liquidity flows, contracts, and expands through time. It bridges the gap between pure mathematics and market intuition — giving traders a cinematic, harmonic view of energy transition inside price structure.
Indicateur Pine Script®
par ozgurzari
Kameniczki RSI MASTERKAMENICZKI RSI MASTER is a professional trading indicator based on RSI (Relative Strength Index) with advanced features for precise identification of trading opportunities. The indicator combines classic RSI analysis with intelligent Zig Zag system and smoothing techniques for maximum signal accuracy. Features: RSI Analysis with Gradient Display The indicator displays RSI in the lower panel with color gradient - blue for overbought zones and pink for oversold zones. RSI is calculated with adjustable period (recommended 14 for daily charts, 7-9 for shorter timeframes). Zig Zag Signal System Intelligent Zig Zag system generates BUY and SELL signals based on RSI extremes. The system automatically identifies swing points and creates clear visual markings with blue BUY and pink SELL labels. Smoothing Moving Average Advanced smoothing techniques supporting SMA, EMA, SMMA, WMA and VWMA. MA is displayed in price chart with dual-color system - blue for rising trend, pink for falling trend. Bollinger Bands Integration Optional Bollinger Bands around RSI and price for volatility identification and potential breakouts. Bands automatically adapt to market conditions. Comprehensive Alert System Extensive alert system includes Zig Zag signals, RSI levels, MA direction changes, BB touches and combined strong signals for maximum trading accuracy. Real-Time Trend Analysis Instant trend identification with priority for actual price direction. System displays current trend (BUY/SELL/WAIT) and risk analysis with visual table. Risk Management Automatic volatility and risk level analysis with percentage expression. System identifies high and low risk periods for safer trading. Recommended Timeframes: - 1H, 4H, 1D - optimal for swing trading - 15M, 30M - for day trading - 1W - for position trading Success Rate: - Zig Zag signals: 75-85% accuracy - Combined strong signals: 80-90% accuracy - Trend identification: 70-80% accuracy - Overall system success: 75-85% with proper settings ⚠️ IMPORTANT WARNING: Zig Zag signals may cause repainting on lower timeframes. For live trading, use higher timeframes (15M, 1H+) or wait for signal confirmation to avoid false signals. The indicator is suitable for all types of traders - from beginners to professionals, with detailed parameter adjustment options according to individual needs.
Indicateur Pine Script®
par kameniczkifx
1
MILLION MEN - MatrixWhat it is MILLION MEN – Matrix is a confluence tool that blends a multi-horizon directional heatmap (10→120 windows, LinReg/Slope) with a refined VZO-style volume oscillator to highlight accumulation vs. overbought regimes and print concise BUY/SELL labels only when both sides align. It’s designed for visual clarity and discretionary workflows—not a black-box signal engine. How it works (high level) Directional heatmap: 12 windows (10..120). Counts positive vs. negative slopes. Accumulation zone: negCnt ≥ threshold (default 12-level threshold). Overbought zone: posCnt ≥ threshold. Optional bar coloring with transparency. VZO-style engine: volume direction via price delta, linear-regression normalization, optional smoothing/noise filter, and explicit repaint toggle for intrabar responsiveness. Confluence signals: BUY when heatmap = accumulation and VZO makes a bullish triangle (crossover from below a lower band). SELL when heatmap = overbought and VZO makes a bearish triangle (crossunder from above an upper band). Quality-of-life: a cyan CONFOR dot marks “green→neutral + bullish body” near recent BUY; a compact profit panel tracks entry, live/max %, TP1/TP2/TP3 stamps, and a special Exit 100% event. How to use Treat signals as contextual prompts. Accumulation+VZO upturn hints at potential mean-reversion/expansion; Overbought+VZO downturn warns of exhaustion. Calibrate: heatmap threshold, VZO length/bands, smoothing/noise, and the repaint setting (on = faster intrabar feedback; off = close-confirmed). Originality & value Instead of a simple mashup, Matrix enforces dual confirmation: breadth across 12 directional windows plus a normalized volume-pressure oscillator. The result is a stable, readable regime map with minimal labels and a built-in progress panel—useful as a primary bias filter or an add-on to your setups. Tested markets Primarily tested on Gold (XAUUSD) and major crypto assets (BTC, XRP, ETH, BNB, LTC). Behavior on other symbols may vary—validate before use. Designed for analysis on the Daily timeframe (1D). Non-standard chart types are not supported for Limitations & transparency Strong trends can keep regimes extended; add structure/HTF/volume confirmation. Repaint option can change intrabar labels; use close-confirmed mode if you prefer stability. Non-standard bar types aren’t supported for signal logic. No future data is used. This is not financial advice. Arabic summary (optional) أداة “Matrix” تجمع خريطة اتجاه متعددة الآفاق (10→120) مع مذبذب حجمي محسّن بأسلوب VZO لإبراز مناطق تجميع مقابل تشبّع/ارتفاع مبالغ، وتطبع BUY/SELL فقط عند توافق الشرطين. مُجرّبة أساسًا على الذهب (XAUUSD) والعملات الرئيسية (BTC, XRP, ETH, BNB, LTC). يُنصح بالتحقق في الأسواق الأخرى وباستخدام وضع الإغلاق لمنع أي تغيّر لحظي (repaint) : مُصمّم للتحليل على الإطار اليومي (1D). أنواع الشموع غير القياسية غير مدعومة للإشارات.
Indicateur Pine Script®
par MILLION_MEN
Adaptive Trend OscillatorAdaptive Trend Oscillator (ATO) — Publishing Description and User Guide Purpose The Adaptive Trend Oscillator (ATO) is a research and decision‑support indicator designed to help traders assess momentum, trend stability, and changing volatility conditions within a single, unified panel. It provides a configurable signal line, optional confidence bands, adaptive zones, and contextual Bollinger Band cues. ATO is intended for educational and analytical use on TradingView charts and does not execute trades or make investment recommendations. Methodology (High‑Level Overview) ATO integrates several well‑known concepts into a cohesive framework while avoiding proprietary implementation details: - Core Oscillator: A smoothed momentum line derived from standard price‑based calculations (e.g., RSI) with confidence‑aware coloring to reflect relative stability and recent behavior. - Signal Candle Visualization: A Heikin‑Ashi style signal candle, computed from the oscillator series, helps users visually interpret direction, strength, and transitions. Smoothing controls reduce jitter in the open component to improve readability. - Volatility Regime Detection: Rolling dispersion and average comparisons classify conditions into Low/Medium/High volatility regimes. This regime context informs confidence scoring and adaptive visualization. - Adaptive Zones: Overbought/Oversold zones adjust to market conditions using observed distribution and lookback windows, offering dynamic boundaries that can better reflect regime changes compared with fixed thresholds. - Bollinger Context: Bands applied to the oscillator series provide cues about contraction (squeeze), expansion (divergence), and convergence. Optional fills highlight changing states while remaining purely informational. - Confidence Bands: Optional envelopes around the oscillator estimate uncertainty ranges derived from recent behavior and regime context. These bands are visual aids, not predictions. - Performance Mode: An optional toggle that simplifies visuals (thinner lines, reduced fills, disabling inner layers) to improve responsiveness on devices or layouts where rendering cost matters. Calculations remain unchanged. Inputs and Configuration (Summary) ATO organizes settings for clarity and quick start: - Quick Start & Display Toggles: Show/hide key elements such as adaptive zones, confidence bands, and Bollinger fills; enable Performance Mode for faster rendering. - Core Signal Tuning: Adjust smoothing for the signal candle open, choose theme, and set lookback parameters used in the underlying oscillator and contextual measures. - Visualization Layers: Confidence bands, inner/outer envelopes, and color themes can be enabled or disabled as needed. Intended Use and Application - ATO is most effective as a complementary tool. Use it alongside price action, volume, risk management rules, and broader market context. - Signals should be validated with multiple factors (support/resistance, higher‑timeframe bias, and instrument characteristics). Parameter tuning is recommended for different assets and timeframes. - The indicator does not generate trade orders. Any buy/sell interpretations are at the user’s discretion and should be independently evaluated. Limitations and Risks - No Guarantees: The indicator cannot predict future prices. Visual cues reflect historical and current data only. - Lag and Whipsaws: Smoothing improves stability but introduces lag. During range‑bound or choppy conditions, oscillators may experience false starts or rapid flips. - Data Quality and Availability: Calculations rely on TradingView‑provided data, which may include delays or revisions depending on the data source and subscription. - User Configuration: Improper or aggressive settings may reduce effectiveness. Always backtest and forward‑test configurations before use. Required Disclosures and Regulatory Statements - Educational Use Only: ATO is provided for informational and educational purposes. It does not constitute investment advice, solicitation, or a recommendation to buy or sell any security or derivative. - No Advisor Relationship: The publisher is not acting as a broker, dealer, investment advisor, or fiduciary. Users are solely responsible for decisions made using the indicator. - Past Performance: Past performance, whether shown in charts or inferred from historical signals, does not guarantee future results. - Risk of Loss: Trading and investing involve substantial risk. You can lose more than your initial capital. Consider your financial situation, risk tolerance, and seek advice from a qualified, licensed professional where appropriate. - Jurisdictional Compliance: Users must comply with all applicable laws and regulations in their jurisdiction and with TradingView’s Terms of Use and House Rules. Attribution and Code Notes - ATO relies on standard Pine Script constructs and common analytical concepts (e.g., RSI, Bollinger Band‑style dispersion, Heikin‑Ashi visualization). No external data sources are accessed. - Calculations and visual layers are original work tailored for research utility. Specific implementation details are intentionally summarized to respect intellectual property and maintain clarity. Publishing‑Friendly Content Guidelines - No exaggerated claims, guarantees, or sensational language are used. Descriptions focus on functionality, method, and limitations. - The indicator is positioned as a tool for research and decision support, not as a promise of profit or certainty. Getting Started (Suggested Workflow) 1) Add ATO to your chart and choose a theme suitable for your background (Light/Dark). 2) Enable/disable visualization layers (Adaptive Zones, Confidence Bands, Bollinger Fill) to match your preference. 3) Adjust signal smoothing and lookback parameters to fit your instrument and timeframe; conservative settings generally produce steadier signals. 4) Optional: Turn on Performance Mode if you use multiple panels or need faster UI responsiveness; this simplifies visuals while preserving calculations. 5) Validate signals with price structure, volume context, and higher‑timeframe bias before making any decision. Support and Contact - For questions or feedback, please use TradingView direct messages to the publisher’s account: . - Personal financial advice is not provided. Support is limited to general usage guidance and technical questions about the indicator. Final Reminder ATO is a tool for analysis, not a guarantee of outcomes. Always manage risk, perform independent research, and remember that past performance does not guarantee future results.
Indicateur Pine Script®
par Amir_Sakr
MTF MACD + RSI (Nikko) v1 for friendsMTF MACD + RSI (Nikko) v1 friends only 🧠 MTF MACD + RSI (Nikko) v1 A professional 2-in-1 Pine Script indicator that merges two powerful systems: MTF MACD (Multi-Timeframe MACD) — Momentum and trend analyzer RSI Divergence (Nikko) — Reversal and divergence detector Easily switch between them with a simple toggle in the indicator settings. ⚙️ Overview This script provides two distinct analysis modes inside a single indicator: MTF MACD Mode → Focuses on multi-timeframe trend confirmation and momentum strength. RSI Divergence Mode → Focuses on reversal detection using RSI and price divergence. A color-coded label in the indicator pane shows which mode is active: 🔴 MACD Mode 🟢 RSI Mode
Indicateur Pine Script®
par CryptoNikkoid
vagab0nd AlgoCombination of simple and exponential moving averages, SuperIchi cloud by LuxAlgo (love that group!), and a conglomeration of various indicators I've compiled over the years to try to spot tops and bottoms. My custom indicator will highlight the background either green or orange/red and will show small yellow, or larger white arrows to indicate potential tops and bottoms. It is oscillator based so it can often show a strong signal for a top or bottom where price can rebound from, but will often retest or even stop loss run the previous signal area while not showing another signal. This indicates an underlying divergence that can potentially be taken advantage of.
Indicateur Pine Script®
par v4gab0nd
Quantum Market Harmonics [QMH]# Quantum Market Harmonics - TradingView Script Description ## 📊 OVERVIEW Quantum Market Harmonics (QMH) is a comprehensive multi-dimensional trading indicator that combines four independent analytical frameworks to generate high-probability trading signals with quantifiable confidence scores. Unlike simple indicator combinations that display multiple tools side-by-side, QMH synthesizes temporal analysis, inter-market correlations, behavioral psychology, and statistical probabilities into a unified confidence scoring system that requires agreement across all dimensions before generating a confirmed signal. --- ## 🎯 WHAT MAKES THIS SCRIPT ORIGINAL ### The Core Innovation: Weighted Confidence Scoring Most indicators provide binary signals (buy/sell) or display multiple indicators separately, leaving traders to interpret conflicting information. QMH's originality lies in its weighted confidence scoring system that: 1. **Combines Four Independent Methods** - Each framework (described below) operates independently and contributes points to an overall confidence score 2. **Requires Multi-Dimensional Agreement** - Signals only fire when multiple frameworks align, dramatically reducing false positives 3. **Quantifies Signal Strength** - Every signal includes a numerical confidence rating (0-100%), allowing traders to filter by quality 4. **Adapts to Market Conditions** - Different market regimes activate different component combinations ### Why This Combination is Useful Traditional approaches suffer from: - **Single-dimension bias**: RSI shows oversold, but trend is still down - **Conflicting signals**: MACD says buy, but volume is weak - **No prioritization**: All signals treated equally regardless of strength QMH solves these problems by requiring multiple independent confirmations and weighting each component's contribution to the final signal. This multi-dimensional approach mirrors how professional traders analyze markets - not relying on one indicator, but waiting for multiple pieces of evidence to align. --- ## 🔬 THE FOUR ANALYTICAL FRAMEWORKS ### 1. Temporal Fractal Resonance (TFR) **What It Does:** Analyzes trend alignment across four different timeframes simultaneously (15-minute, 1-hour, 4-hour, and daily) to identify periods of multi-timeframe synchronization. **How It Works:** - Uses `request.security()` with `lookahead=barmerge.lookahead_off` to retrieve confirmed price data from each timeframe - Calculates "fractal strength" for each timeframe using this formula: ``` Fractal Strength = (Rate of Change / Standard Deviation) × 100 ``` This creates a momentum-to-volatility ratio that measures trend strength relative to noise - Computes a Resonance Index when all four timeframes show the same directional bias - The index averages the absolute strength values when all timeframes align **Why This Method:** Fractal Market Hypothesis suggests that price patterns repeat across different time scales. When trends align from short-term (15m) to long-term (Daily), the probability of trend continuation increases substantially. The momentum/volatility ratio filters out low-conviction moves where volatility dominates direction. **Contribution to Confidence Score:** - TFR Bullish = +25 points - TFR Bearish = +25 points (to bearish confidence) - No alignment = 0 points --- ### 2. Cross-Asset Quantum Entanglement (CAQE) **What It Does:** Analyzes correlation patterns between the current asset and three reference markets (Bitcoin, US Dollar Index, and Volatility Index) to identify both normal correlation behavior and anomalous breakdowns that often precede significant moves. **How It Works:** - Retrieves price data from BTC (BINANCE:BTCUSDT), DXY (TVC:DXY), and VIX (TVC:VIX) using confirmed bars - Calculates Pearson correlation coefficient between the main asset and each reference: ``` Correlation = Covariance(X,Y) / (StdDev(X) × StdDev(Y)) ``` - Computes an Intermarket Pressure Index by weighting each reference asset's momentum by its correlation strength: ``` Pressure = (Corr₁ × ROC₁ + Corr₂ × ROC₂ + Corr₃ × ROC₃) / 3 ``` - Detects "correlation breakdowns" when average correlation drops below 0.3 **Why This Method:** Markets don't operate in isolation. Inter-market analysis (developed by John Murphy) recognizes that: - Crypto assets often correlate with Bitcoin - Risk assets inversely correlate with VIX (fear gauge) - Dollar strength affects commodity and crypto prices When these normal correlations break down, it signals potential regime changes. The term "quantum" reflects the interconnected nature of these relationships - like quantum entanglement where distant particles influence each other. **Contribution to Confidence Score:** - CAQE Bullish (positive pressure, stable correlations) = +25 points - CAQE Bearish (negative pressure, stable correlations) = +25 points (to bearish) - Correlation breakdown = Warning marker (potential reversal zone) --- ### 3. Adaptive Market Psychology Matrix (AMPM) **What It Does:** Classifies the current market emotional state into six distinct categories by analyzing the interaction between momentum (RSI), volume behavior, and volatility acceleration (ATR change). **How It Works:** The system evaluates three metrics: 1. **RSI (14-period)**: Measures overbought/oversold conditions 2. **Volume Analysis**: Compares current volume to 20-period average 3. **ATR Rate of Change**: Detects volatility acceleration Based on these inputs, the market is classified into: - **Euphoria**: RSI > 80, volume spike present, volatility rising (extreme bullish emotion) - **Greed**: RSI > 70, normal volume (moderate bullish emotion) - **Neutral**: RSI 40-60, declining volatility (balanced state) - **Fear**: RSI 40-60, low volatility (uncertainty without panic) - **Panic**: RSI < 30, volume spike present, volatility rising (extreme bearish emotion) - **Despair**: RSI < 20, normal volume (capitulation phase) **Why This Method:** Behavioral finance principles (Kahneman, Tversky) show that markets follow predictable emotional cycles. Extreme psychological states often mark reversal points because: - At Euphoria/Greed peaks, everyone bullish has already bought (no buyers left) - At Panic/Despair bottoms, everyone bearish has already sold (no sellers left) AMPM provides contrarian signals at these extremes while respecting trends during Fear and Greed intermediate states. **Contribution to Confidence Score:** - Psychology Bullish (Panic/Despair + RSI < 35) = +15 points - Psychology Bearish (Euphoria/Greed + RSI > 65) = +15 points - Neutral states = 0 points --- ### 4. Time-Decay Probability Zones (TDPZ) **What It Does:** Creates dynamic support and resistance zones based on statistical probability distributions that adapt to changing market volatility, similar to Bollinger Bands but with enhancements for trend environments. **How It Works:** - Calculates a 20-period Simple Moving Average as the basis line - Computes standard deviation of price over the same period - Creates four probability zones: - **Extreme Upper**: Basis + 2.5 standard deviations (≈99% probability boundary) - **Upper Zone**: Basis + 1.5 standard deviations - **Lower Zone**: Basis - 1.5 standard deviations - **Extreme Lower**: Basis - 2.5 standard deviations (≈99% probability boundary) - Dynamically adjusts zone width based on ATR (Average True Range): ``` Adjusted Upper = Upper Zone + (ATR × adjustment_factor) Adjusted Lower = Lower Zone - (ATR × adjustment_factor) ``` - The adjustment factor increases during high volatility, widening the zones **Why This Method:** Traditional support/resistance levels are static and don't account for volatility regimes. TDPZ zones are probability-based and mean-reverting: - Price has ≈99% probability of staying within extreme zones in normal conditions - Touches to extreme zones represent statistical outliers (high-probability reversal opportunities) - Zone expansion/contraction reflects volatility regime changes - ATR adjustment prevents false signals during unusual volatility The "time-decay" concept refers to mean reversion - the further price moves from the basis, the higher the probability of eventual return. **Contribution to Confidence Score:** - Price in Lower Extreme Zone = +15 points (bullish reversal probability) - Price in Upper Extreme Zone = +15 points (bearish reversal probability) - Price near basis = 0 points --- ## 🎯 HOW THE CONFIDENCE SCORING SYSTEM WORKS ### Signal Generation Formula QMH calculates separate Bullish and Bearish confidence scores each bar: **Bullish Confidence (0-100%):** ``` Base Score: 20 points + TFR Bullish: 25 points (if all 4 timeframes aligned bullish) + CAQE Bullish: 25 points (if intermarket pressure positive) + AMPM Bullish: 15 points (if Panic/Despair contrarian signal) + TDPZ Bullish: 15 points (if price in lower probability zones) ───────── Maximum Possible: 100 points ``` **Bearish Confidence (0-100%):** ``` Base Score: 20 points + TFR Bearish: 25 points (if all 4 timeframes aligned bearish) + CAQE Bearish: 25 points (if intermarket pressure negative) + AMPM Bearish: 15 points (if Euphoria/Greed contrarian signal) + TDPZ Bearish: 15 points (if price in upper probability zones) ───────── Maximum Possible: 100 points ``` ### Confirmed Signal Requirements A **QBUY** (Quantum Buy) signal generates when: 1. Bullish Confidence ≥ User-defined threshold (default 60%) 2. Bullish Confidence > Bearish Confidence 3. No active sell signal present A **QSELL** (Quantum Sell) signal generates when: 1. Bearish Confidence ≥ User-defined threshold (default 60%) 2. Bearish Confidence > Bullish Confidence 3. No active buy signal present ### Why This Approach Is Different **Example Comparison:** Traditional RSI Strategy: - RSI < 30 → Buy signal - Result: May buy into falling knife if trend remains bearish QMH Approach: - RSI < 30 → Psychology shows Panic (+15 points) - But requires additional confirmation: - Are all timeframes also showing bullish reversal? (+25 points) - Is intermarket pressure turning positive? (+25 points) - Is price at a statistical extreme? (+15 points) - Only when total ≥ 60 points does a QBUY signal fire This multi-layer confirmation dramatically reduces false signals while maintaining sensitivity to genuine opportunities. --- ## 🚫 NO REPAINT GUARANTEE **QMH is designed to be 100% repaint-free**, which is critical for honest backtesting and reliable live trading. ### Technical Implementation: 1. **All Multi-Timeframe Data Uses Confirmed Bars** ```pinescript tf1_close = request.security(syminfo.tickerid, "15", close , lookahead=barmerge.lookahead_off) ``` Using `close ` instead of `close ` ensures we only reference the previous confirmed bar, not the current forming bar. 2. **Lookahead Prevention** ```pinescript lookahead=barmerge.lookahead_off ``` This parameter prevents the function from accessing future data that wouldn't be available in real-time. 3. **Signal Timing** Signals appear on the bar AFTER all conditions are met, not retroactively on the bar where conditions first appeared. ### What This Means for Users: - **Backtest Accuracy**: Historical signals match exactly what you would have seen in real-time - **No Disappearing Signals**: Once a signal appears, it stays (though price may move against it) - **Honest Performance**: Results reflect true predictive power, not hindsight optimization - **Live Trading Reliability**: Alerts fire at the same time signals appear on the chart The dashboard displays "✓ NO REPAINT" to confirm this guarantee. --- ## 📖 HOW TO USE THIS INDICATOR ### Basic Trading Strategy **For Trend Followers:** 1. **Wait for Signal Confirmation** - QBUY label appears below a bar = Confirmed bullish entry opportunity - QSELL label appears above a bar = Confirmed bearish entry opportunity 2. **Check Confidence Score** - 60-70%: Moderate confidence (consider smaller position size) - 70-85%: High confidence (standard position size) - 85-100%: Very high confidence (consider larger position size) 3. **Enter Trade** - Long entry: Market or limit order near signal bar - Short entry: Market or limit order near signal bar 4. **Set Targets Using Probability Zones** - Long trades: Target the adjusted upper zone (lime line) - Short trades: Target the adjusted lower zone (red line) - Alternatively, target the basis line (yellow) for conservative exits 5. **Set Stop Loss** - Long trades: Below recent swing low minus 1 ATR - Short trades: Above recent swing high plus 1 ATR **For Mean Reversion Traders:** 1. **Wait for Extreme Zones** - Price touches extreme lower zone (dotted red line below) - Price touches extreme upper zone (dotted lime line above) 2. **Confirm with Psychology** - At lower extreme: Look for Panic or Despair state - At upper extreme: Look for Euphoria or Greed state 3. **Wait for Confidence Build** - Monitor dashboard until confidence exceeds threshold - Requires patience - extreme touches don't always reverse immediately 4. **Enter Reversal** - Target: Return to basis line (yellow SMA 20) - Stop: Beyond the extreme zone **For Position Traders (Longer Timeframes):** 1. **Use Daily Timeframe** - Set chart to daily for longer-term signals - Signals will be less frequent but higher quality 2. **Require High Confidence** - Filter setting: Min Confidence Score 80%+ - Only take the strongest multi-dimensional setups 3. **Confirm with Resonance Background** - Green tinted background = All timeframes bullish aligned - Red tinted background = All timeframes bearish aligned - Only enter when background tint matches signal direction 4. **Hold for Major Targets** - Long trades: Hold until extreme upper zone or opposite signal - Short trades: Hold until extreme lower zone or opposite signal --- ## 📊 DASHBOARD INTERPRETATION The QMH Dashboard (top-right corner) provides real-time market analysis across all four dimensions: ### Dashboard Elements: 1. **✓ NO REPAINT** - Green confirmation that signals don't repaint - Always visible to remind users of signal integrity 2. **SIGNAL: BULL/BEAR XX%** - Shows dominant direction (whichever confidence is higher) - Displays current confidence percentage - Background color intensity reflects confidence level 3. **Psychology: ** - Current market emotional state - Color coded: - Orange = Euphoria (extreme bullish emotion) - Yellow = Greed (moderate bullish emotion) - Gray = Neutral (balanced state) - Purple = Fear (uncertainty) - Red = Panic (extreme bearish emotion) - Dark red = Despair (capitulation) 4. **Resonance: ** - Multi-timeframe alignment strength - Positive = All timeframes bullish aligned - Negative = All timeframes bearish aligned - Near zero = Timeframes not synchronized - Emoji indicator: 🔥 (bullish resonance) ❄️ (bearish resonance) 5. **Intermarket: ** - Cross-asset pressure measurement - Positive = BTC/DXY/VIX correlations supporting upside - Negative = Correlations supporting downside - Warning ⚠️ if correlation breakdown detected 6. **RSI: ** - Current RSI(14) reading - Background colors: Red (>70 overbought), Green (<30 oversold) - Status: OB (overbought), OS (oversold), or • (neutral) 7. **Status: READY BUY / READY SELL / WAIT** - Quick trade readiness indicator - READY BUY: Confidence ≥ threshold, bias bullish - READY SELL: Confidence ≥ threshold, bias bearish - WAIT: Confidence below threshold ### How to Use Dashboard: **Before Entering a Trade:** - Verify Status shows READY (not WAIT) - Check that Resonance matches signal direction - Confirm Psychology isn't contradicting (e.g., buying during Euphoria) - Note Intermarket value - breakdowns (⚠️) suggest caution **During a Trade:** - Monitor Psychology shifts (e.g., from Fear to Greed in a long) - Watch for Resonance changes that could signal exit - Check for Intermarket breakdown warnings --- ## ⚙️ CUSTOMIZATION SETTINGS ### TFR Settings (Temporal Fractal Resonance) - **Enable/Disable**: Turn TFR analysis on/off - **Fractal Sensitivity** (5-50, default 14): - Lower values = More responsive to short-term changes - Higher values = More stable, slower to react - Recommendation: 14 for balanced, 7 for scalping, 21 for position trading ### CAQE Settings (Cross-Asset Quantum Entanglement) - **Enable/Disable**: Turn CAQE analysis on/off - **Asset 1** (default BTC): Reference asset for correlation analysis - **Asset 2** (default DXY): Second reference asset - **Asset 3** (default VIX): Third reference asset - **Correlation Length** (10-100, default 20): - Lower values = More sensitive to recent correlation changes - Higher values = More stable correlation measurements - Recommendation: 20 for most assets, 50 for less volatile markets ### Psychology Settings (Adaptive Market Psychology Matrix) - **Enable/Disable**: Turn AMPM analysis on/off - **Volume Spike Threshold** (1.0-5.0x, default 2.0): - Lower values = Detect smaller volume increases as spikes - Higher values = Only flag major volume surges - Recommendation: 2.0 for stocks, 1.5 for crypto ### Probability Settings (Time-Decay Probability Zones) - **Enable/Disable**: Turn TDPZ visualization on/off - **Probability Lookback** (20-200, default 50): - Lower values = Zones adapt faster to recent price action - Higher values = Zones based on longer statistical history - Recommendation: 50 for most uses, 100 for position trading ### Filter Settings - **Min Confidence Score** (40-95%, default 60%): - Lower threshold = More signals, more false positives - Higher threshold = Fewer signals, higher quality - Recommendation: 60% for active trading, 75% for selective trading ### Visual Settings - **Show Entry Signals**: Toggle QBUY/QSELL labels on chart - **Show Probability Zones**: Toggle zone visualization - **Show Psychology State**: Toggle dashboard display --- ## 🔔 ALERT CONFIGURATION QMH includes four alert conditions that can be configured via TradingView's alert system: ### Available Alerts: 1. **Quantum Buy Signal** - Fires when: Confirmed QBUY signal generates - Message includes: Confidence percentage - Use for: Entry notifications 2. **Quantum Sell Signal** - Fires when: Confirmed QSELL signal generates - Message includes: Confidence percentage - Use for: Entry notifications or exit warnings 3. **Market Panic** - Fires when: Psychology state reaches Panic - Use for: Contrarian opportunity alerts 4. **Market Euphoria** - Fires when: Psychology state reaches Euphoria - Use for: Reversal warning alerts ### How to Set Alerts: 1. Right-click on chart → "Add Alert" 2. Condition: Select "Quantum Market Harmonics" 3. Choose alert type from dropdown 4. Configure expiration, frequency, and notification method 5. Create alert **Recommendation**: Set alerts for Quantum Buy/Sell signals with "Once Per Bar Close" frequency to avoid intra-bar false triggers. --- ## 💡 BEST PRACTICES ### For All Users: 1. **Backtest First** - Test on your specific market and timeframe before live trading - Different assets may perform better with different confidence thresholds - Verify that the No Repaint guarantee works as described 2. **Paper Trade** - Practice with signals on a demo account first - Understand typical signal frequency for your timeframe - Get comfortable with the dashboard interpretation 3. **Risk Management** - Never risk more than 1-2% of capital per trade - Use proper stop losses (not just mental stops) - Position size based on confidence score (larger size at higher confidence) 4. **Consider Context** - QMH signals work best in clear trends or at extremes - During tight consolidation, false signals increase - Major news events can invalidate technical signals ### Optimal Use Cases: **QMH Works Best When:** - ✅ Markets are trending (up or down) - ✅ Volatility is normal to elevated - ✅ Price reaches probability zone extremes - ✅ Multiple timeframes align - ✅ Clear inter-market relationships exist **QMH Is Less Effective When:** - ❌ Extremely low volatility (zones contract too much) - ❌ Sideways choppy markets (conflicting timeframes) - ❌ Flash crashes or news events (correlations break down) - ❌ Very illiquid assets (irregular price action) ### Session Considerations: - **24/7 Markets (Crypto)**: Works on all sessions, but signals may be more reliable during high-volume periods (US/European trading hours) - **Forex**: Best during London/New York overlap when volume is highest - **Stocks**: Most reliable during regular trading hours (not pre-market/after-hours) --- ## ⚠️ LIMITATIONS AND RISKS ### This Indicator Cannot: - **Predict Black Swan Events**: Sudden unexpected events invalidate technical analysis - **Guarantee Profits**: No indicator is 100% accurate; losses will occur - **Replace Risk Management**: Always use stop losses and proper position sizing - **Account for Fundamental Changes**: Company news, economic data, etc. can override technical signals - **Work in All Market Conditions**: Less effective during extreme low volatility or major news events ### Known Limitations: 1. **Multi-Timeframe Lag**: Uses confirmed bars (`close `), so signals appear one bar after conditions met 2. **Correlation Dependency**: CAQE requires sufficient history; may be less reliable on newly listed assets 3. **Computational Load**: Multiple `request.security()` calls may cause slower performance on older devices 4. **Repaint of Dashboard**: Dashboard updates every bar (by design), but signals themselves don't repaint ### Risk Warnings: - Past performance doesn't guarantee future results - Backtesting results may not reflect actual trading results due to slippage, commissions, and execution delays - Different markets and timeframes may produce different results - The indicator should be used as a tool, not as a standalone trading system - Always combine with your own analysis, risk management, and trading plan --- ## 🎓 EDUCATIONAL CONCEPTS This indicator synthesizes several established financial theories and technical analysis concepts: ### Academic Foundations: 1. **Fractal Market Hypothesis** (Edgar Peters) - Markets exhibit self-similar patterns across time scales - Implemented via multi-timeframe resonance analysis 2. **Behavioral Finance** (Kahneman & Tversky) - Investor psychology drives market inefficiencies - Implemented via market psychology state classification 3. **Intermarket Analysis** (John Murphy) - Asset classes correlate and influence each other predictably - Implemented via cross-asset correlation monitoring 4. **Mean Reversion** (Statistical Arbitrage) - Prices tend to revert to statistical norms - Implemented via probability zones and standard deviation bands 5. **Multi-Timeframe Analysis** (Technical Analysis Standard) - Higher timeframe trends dominate lower timeframe noise - Implemented via fractal resonance scoring ### Learning Resources: To better understand the concepts behind QMH: - Read "Intermarket Analysis" by John Murphy (for CAQE concepts) - Study "Thinking, Fast and Slow" by Daniel Kahneman (for psychology concepts) - Review "Fractal Market Analysis" by Edgar Peters (for TFR concepts) - Learn about Bollinger Bands (for TDPZ foundation) --- ## 🔄 VERSION HISTORY AND UPDATES **Current Version: 1.0** This is the initial public release. Future updates will be published using TradingView's Update feature (not as separate publications). Planned improvements may include: - Additional reference assets for CAQE - Optional machine learning-based weight optimization - Customizable psychology state definitions - Alternative probability zone calculations - Performance metrics tracking Check the "Updates" tab on the script page for version history. --- ## 📞 SUPPORT AND FEEDBACK ### How to Get Help: 1. **Read This Description First**: Most questions are answered in the detailed sections above 2. **Check Comments**: Other users may have asked similar questions 3. **Post Comments**: For general questions visible to the community 4. **Use TradingView Messaging**: For private inquiries (if available) ### Providing Useful Feedback: When reporting issues or suggesting improvements: - Specify your asset, timeframe, and settings - Include a screenshot if relevant - Describe expected vs. actual behavior - Check if issue persists with default settings ### Continuous Improvement: This indicator will evolve based on user feedback and market testing. Constructive suggestions for improvements are always welcome. --- ## ⚖️ DISCLAIMER This indicator is provided for **educational and informational purposes only**. It does **not constitute financial advice, investment advice, trading advice, or any other type of advice**. **Important Disclaimers:** - You should **not** rely solely on this indicator to make trading decisions - Always conduct your own research and due diligence - Past performance is not indicative of future results - Trading and investing involve substantial risk of loss - Only trade with capital you can afford to lose - Consider consulting with a licensed financial advisor before trading - The author is not responsible for any trading losses incurred using this indicator **By using this indicator, you acknowledge:** - You understand the risks of trading - You take full responsibility for your trading decisions - You will use proper risk management techniques - You will not hold the author liable for any losses --- ## 🙏 ACKNOWLEDGMENTS This indicator builds upon the collective knowledge of the technical analysis and trading community. While the specific implementation and combination are original, the underlying concepts draw from: - The Pine Script community on TradingView - Academic research in behavioral finance and market microstructure - Classical technical analysis methods developed over decades - Open-source indicators that demonstrate best practices in Pine Script coding Special thanks to TradingView for providing the platform and Pine Script language that make indicators like this possible. --- ## 📚 ADDITIONAL RESOURCES **Pine Script Documentation:** - Official Pine Script Manual: www.tradingview.com **Related Concepts to Study:** - Multi-timeframe analysis techniques - Correlation analysis in financial markets - Behavioral finance principles - Mean reversion strategies - Bollinger Bands methodology **Recommended TradingView Tools:** - Strategy Tester: To backtest signal performance - Bar Replay: To see how signals develop in real-time - Alert System: To receive notifications of new signals --- **Thank you for using Quantum Market Harmonics. Trade safely and responsibly.**
Indicateur Pine Script®
par Smart-Day-Trader
TRI - RSI & StochRSI Multi-TimeframeThis indicator displays RSI and Stochastic RSI values across multiple timeframes in a clear, color-coded table format. FEATURES: Monitors 7 timeframes: 1m, 5m, 15m, 1h, 4h, 1D, 1W Color-coded cells: Green (oversold), Red (overbought), Orange/Blue (neutral) Direction indicators for RSI trend StochRSI K/D comparison indicators Customizable oversold/overbought levels Configurable table position and size ALERTS: RSI entering oversold/overbought zones StochRSI entering oversold/overbought zones StochRSI K/D crossovers (bullish and bearish)
Indicateur Pine Script®
par riccardo_tempesta
Fib OscillatorWhat is Fib Oscillator and How to Use it? 🔶 1. Conceptual Overview The Fib Oscillator is a Fibonacci-based relative position oscillator. Instead of measuring momentum (like RSI or MACD), it measures where price currently sits between the recent swing high and swing low, expressed as a percentage within the Fibonacci range. In other words: It answers: “Where is price right now within its most recent dynamic range?” It visualizes retracement and extension zones numerically, providing continuous feedback between 0% and 100% (and beyond if extended). 🔶 2. What the Script Does The indicator: Automatically detects recent high and low levels using an adaptive lookback window, which depends on ATR volatility. Calculates the current price’s position between those levels as a percentage (0–100). Plots that percentage as an oscillator — showing visually whether price is near the top, middle, or bottom of its recent range. Overlays Fibonacci retracement levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) as reference zones. Generates alerts when the oscillator crosses key Fib thresholds — which can signal retracement completion, breakout potential, or pullback exhaustion. 🔶 3. Technical Flow Breakdown (a) Inputs Input Description Default Notes atrLength ATR period used for volatility estimation 14 Used to dynamically tune lookback sensitivity minLookback Minimum lookback window (candles) 20 Ensures stability even in low volatility maxLookback Maximum lookback window 100 Limits over-expansion during high volatility isInverse Inverts chart orientation false Useful for inverse markets (e.g. shorts or inverse BTC view) (b) Volatility-Adaptive Lookback Instead of using a fixed lookback, it calculates: lookback = SMA(ATR,10) / SMA(Close,10) × 500 lookback=SMA(ATR,10)/SMA(Close,10)×500 Then it clamps this between minLookback and maxLookback. This makes the oscillator: More reactive during high volatility (shorter lookback) More stable during calm markets (longer lookback) Essentially, it self-adjusts to market rhythm — you don’t have to constantly tweak lookback manually. (c) High-Low Reference Points It takes the highest and lowest points within the dynamic lookback window. If isInverse = true, it flips the candle logic (useful if viewing inverse instruments like stablecoin pairs or when analyzing bearish setups invertedly). (d) Oscillator Core The main oscillator line: osc = ( close − low ) ( high − low ) × 100 osc= (high−low) (close−low) ​ ×100 0% = Price is at the lookback low. 100% = Price is at the lookback high. 50% = Midpoint (balanced). Between Fibonacci percentages (23.6%, 38.2%, 61.8%, etc.), the oscillator indicates retracement stages. (e) Fibonacci Levels as Reference It overlays horizontal reference lines at: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100% These act as support/resistance bands in oscillator space. You can read it similar to how traders use Fibonacci retracements on charts, but compressed into a single line oscillator. (f) Alerts The script includes built-in alert conditions for crossovers at each major Fibonacci level. You can set TradingView alerts such as: “Oscillator crossed above 61.8%” → possible bullish continuation or breakout. “Oscillator crossed below 38.2%” → possible pullback or correction starting. This allows automated monitoring of fib retracement completions without manually drawing fib levels. 🔶 4. How to Use It 🔸 Visual Interpretation Oscillator Value Zone Market Context 0–23.6% Deep Retracement Potential exhaustion of a down-move / early reversal 23.6–38.2% Shallow retracement zone Possible continuation phase 38.2–50% Mid retracement Neutral or indecisive structure 50–61.8% Key pivot region Common trend resumption zone 61.8–78.6% Late retracement Often “last pullback” area 78.6–100% Near high range Possible overextension / profit-taking >100% Range breakout New leg formation / expansion 🔸 Practical Application Steps Load the indicator on your chart (set overlay = false, so it’s below the main price chart). Observe oscillator position relative to fib bands: Use it to determine retracement depth. Combine with structure tools: Trend lines, swing points, or HTF market structure. Use crossovers for timing: Crossing above 61.8% in an uptrend often confirms breakout continuation. Crossing below 38.2% in a downtrend signals renewed downside momentum. For range markets, oscillator swings between 23.6% and 78.6% can define accumulation/distribution boundaries. 🔶 5. When to Use It During Retracements: To gauge how deep the pullback has gone. During Range Markets: To identify relative overbought/oversold positions. Before Breakouts: Crossovers of 61.8% or 78.6% often precede impulsive moves. In Multi-Timeframe Contexts: LTF (15M–1H): Detect intraday retracement exhaustion. HTF (4H–1D): Confirm major range expansions or key reversal zones. 🔶 6. Ideal Companion Indicators The Fib Oscillator works best when contextualized with structure, volatility, and trend bias indicators. Below are optimal pairings: Companion Indicator Purpose Integration Insight Market Structure MTF Tool Identify active trend direction Use Fib Oscillator only in trend direction for cleaner signals EMA Ribbon / Supertrend Trend confirmation Align oscillator crossovers with EMA bias ATR Bands / Volatility Envelope Validate breakout strength If oscillator >78.6% & ATR rising → valid breakout Volume Oscillator Confirm retracement strength Volume contraction + oscillator under 38.2% → potential reversal HTF Fib Retracement Tool Combine LTF oscillator with HTF fib confluence Powerful multi-timeframe setups RSI or Stochastic Measure momentum relative to position RSI divergence while oscillator near 78.6% → exhaustion clue 🔶 7. Understanding the Settings Setting Function Practical Impact ATR Period (14) Controls volatility sampling Higher = smoother lookback adaptation Min Lookback (20) Smallest window allowed Lower = more reactive but noisier Max Lookback (100) Largest window allowed Higher = smoother but slower to react Inverse Candle Chart Flips oscillator vertically Useful when analyzing bearish or inverse scenarios (e.g. short-side fib mapping) Recommended Configs: For scalping/intraday: ATR 10–14, lookback 20–50 For swing/position trading: ATR 14–21, lookback 50–100 🔶 8. Example Trade Logic (Practical Use) Scenario: Uptrend on 4H chart Oscillator drops to below 38.2% → retracement zone Price consolidates → oscillator stabilizes Oscillator crosses above 50% → pullback ending Entry: Long when oscillator crosses above 61.8% Exit: Near 78.6–100% zone or upon divergence with RSI For Short Bias (Inverse Setup): Enable isInverse = true to visually flip the oscillator (so lows become highs). Use the same thresholds inversely. 🔶 9. Strengths & Limitations ✅ Strengths Dynamic, self-adapting to volatility Quantifies Fib retracement as a continuous function Compact oscillator view (no clutter on chart) Works well across all timeframes Compatible with both trending and ranging markets ⚠️ Limitations Doesn’t define trend direction — must be used with structure filters Can whipsaw during choppy consolidations The “lookback auto-adjust” may lag in sudden volatility shifts Shouldn’t be used standalone for entries without structural confluence 🔶 10. Summary The “Fib Oscillator” is a dynamic Fibonacci-relative positioning tool that merges retracement theory with adaptive volatility logic. It gives traders an intuitive, quantified view of where price sits within its recent fib range, allowing anticipation of pullbacks, reversals, or breakout momentum. Think of it as a "Fibonacci RSI", but instead of momentum strength, it shows positional depth — the vibrational location of price within its natural swing cycle.
Indicateur Pine Script®
par TradeMing
TRI - RSI Overlay ViewerDESCRIPTION: Advanced RSI and Stochastic RSI indicator with visual signals on price chart. Combines RSI momentum analysis with Stochastic RSI oversold/overbought detection. FEATURES: RSI with customizable smoothing (EMA) Stochastic RSI with K and D lines Background coloring for oversold/overbought zones Visual shape signals for key crossover events Alert system for all signal types SIGNALS: Small Circle (Green): StochRSI crosses above oversold threshold Small Circle (Red): StochRSI crosses below overbought threshold Triangle Up (Green): RSI crosses above oversold threshold (stronger signal) Triangle Down (Red): RSI crosses below overbought threshold (stronger signal) STRATEGY USAGE: Triangle signals = Primary entry/exit signals (RSI confirmation) Circle signals = Early warning signals (StochRSI only) Use higher timeframes for trend confirmation Combine with price action and support/resistance levels
Indicateur Pine Script®
par riccardo_tempesta
XAUUSD Family Scalping (5min)🟡 XAUUSD Family Scalping 5-Min — Momentum Precision Indicator Overview This indicator is built for XAUUSD (Gold) on the 5-minute timeframe and is designed for short-term momentum scalping. It helps traders identify early reversal zones, confirm momentum direction, and detect exhaustion points during high-volatility market moves. Core Concept The indicator measures momentum strength and price acceleration using a smoothed oscillator. It features two adjustable thresholds: Overbought level: 58 Oversold level: -58 When the momentum line crosses above or below these zones, it signals potential trend continuation or reversal opportunities. Features Detects short-term momentum shifts on XAUUSD 5M. Works with EMA-based trend confirmation (optional). Adaptive smoothing reduces noise and false reversals. Highlights overbought/oversold areas visually. Can be combined with price action or other oscillators for confluence. Usage Instrument: XAUUSD (Gold) Best timeframe: 5-minute (scalping setup) Use case: Detecting momentum exhaustion and reversal entries. Sessions: London & New York recommended. Disclaimer This indicator is for market analysis and educational purposes. No indicator guarantees profit — use proper risk management and test before live trading.
Indicateur Pine Script®
par cupra_inc
Kernel Market Dynamics🔍 Kernel Market Dynamics Pro - Advanced Distribution Divergence Detection System OVERVIEW Kernel Market Dynamics Pro (KMD Pro) is a revolutionary market regime detection system that employs Maximum Mean Discrepancy (MMD) - a cutting-edge statistical technique from machine learning - to identify when market behavior diverges from its recent historical distribution patterns. The system transforms complex statistical divergence analysis into actionable trading signals through kernel density estimation, regime classification algorithms, and multi-dimensional visualization frameworks that reveal hidden market transitions before traditional indicators can detect them. WHAT MAKES IT ORIGINAL While conventional indicators measure price or momentum divergence, KMD Pro analyzes distribution divergence - detecting when the statistical properties of market returns fundamentally shift from their baseline state. This approach, borrowed from high-frequency trading and quantitative finance, uses kernel methods to map market data into high-dimensional feature spaces where regime changes become mathematically detectable. The system is the first TradingView implementation to combine MMD with real-time regime visualization, making institutional-grade statistical arbitrage techniques accessible to retail traders. HOW IT WORKS (Technical Methodology) 1. KERNEL DENSITY ESTIMATION ENGINE Maximum Mean Discrepancy (MMD) Calculation: The core innovation - measures distance between probability distributions: • Maps return distributions to Reproducing Kernel Hilbert Space (RKHS) • Computes empirical mean embeddings for reference and test windows • Calculates supremum of mean differences across all RKHS functions • MMD = ||μ_P - μ_Q||_H where H is the RKHS induced by kernel k Three Kernel Functions Available: RBF (Radial Basis Function) Kernel: • k(x,y) = exp(-||x-y||²/2σ²) • Gaussian kernel with smooth, infinite-dimensional feature mapping • Bandwidth σ controls sensitivity (0.5-10.0 user configurable) • Optimal for normally distributed returns • Default choice providing balanced sensitivity Laplacian Kernel: • k(x,y) = exp(-|x-y|/σ) • Exponential decay with heavier tails than RBF • More sensitive to outliers and sudden moves • Ideal for volatile, news-driven markets • Faster regime shift detection at cost of more false positives Cauchy Kernel: • k(x,y) = 1/(1 + ||x-y||²/σ²) • Heavy-tailed distribution from statistical physics • Robust to extreme values and fat-tail events • Best for cryptocurrency and emerging markets • Most stable signals with fewer whipsaws Implementation Details: • Reference window: 30-300 bars of baseline distribution • Test window: 10-100 bars of recent distribution • Double-sum kernel matrix computation with O(m*n) complexity • EMA smoothing (period 3) reduces noise in raw MMD • Real-time updates every bar with incremental calculation 2. REGIME DETECTION FRAMEWORK Three-State Regime Classification: STABLE Regime (MMD < threshold): • Market follows historical distribution patterns • Mean-reverting behavior dominates • Low probability of breakouts • Reduced position sizing recommended • Visual: Subtle background coloring SHIFTING Regime (threshold < MMD < 2×threshold): • Distribution divergence detected • Transition period with directional bias emerging • Optimal entry zone for trend-following • Increased volatility expected • Visual: Yellow/orange zone highlighting EXTREME Regime (MMD > 2×threshold): • Severe distribution anomaly • Black swan or structural break potential • Maximum caution required • Consider hedging or exit • Visual: Red/magenta warning zones Adaptive Threshold System: • Base threshold: 0.05-1.0 (default 0.15) • Volatility adjustment: ±30% based on ATR ratio • Regime persistence: 20-bar minimum for stability • Cooldown periods prevent signal clustering 3. DIRECTIONAL BIAS DETERMINATION Multi-Factor Direction Analysis: Distribution Mean Comparison: • Recent mean = SMA(normalized_returns, test_window) • Reference mean = SMA(normalized_returns, reference_window) • Direction = sign(recent_mean - reference_mean) Momentum Confluence: • Price momentum = close - close • Volume momentum = volume/SMA(volume, reference_window) • Weighted composite direction score Trend Alignment: • Fast EMA vs Slow EMA positioning • Slope analysis of regression line • Multi-timeframe bias confirmation (optional) 4. SIGNAL GENERATION ARCHITECTURE Entry Signal Logic: Stage 1 - Regime Shift Detection: • MMD crosses above threshold • Sustained for minimum 2 bars • No signals within cooldown period Stage 2 - Direction Confirmation: • Distribution mean aligns with momentum • Volume ratio > 1.0 (optional) • Price above/below VWAP (optional) Stage 3 - Risk Assessment: • Calculate ATR-based stop distance • Verify risk/reward ratio > 1.5 • Check for nearby support/resistance Stage 4 - Signal Generation: • Long: Regime shift + bullish direction • Short: Regime shift + bearish direction • Extreme: MMD > 2×threshold warning 5. PROBABILITY CLOUD VISUALIZATION Adaptive Confidence Intervals: • Standard deviation multiplier = 1 + MMD × 3 • Inner band: ±0.5 ATR × multiplier (68% probability) • Outer band: ±1.0 ATR × multiplier (95% probability) • Width expands with divergence magnitude • Real-time adjustment every bar Interpretation: • Narrow cloud: Low uncertainty, stable regime • Wide cloud: High uncertainty, shifting regime • Asymmetric cloud: Directional bias present 6. MOMENTUM FLOW VECTORS Three-Style Momentum Visualization: Flow Arrows: • Length proportional to momentum strength • Width indicates confidence (1-3 pixels) • Angle shows rate of change • Frequency: Every 5 bars or on events Gradient Bars: • Vertical lines from price • Height = momentum/ATR ratio • Opacity based on strength • Continuous flow indication Momentum Ribbon: • Envelope around price action • Expands in momentum direction • Color intensity shows strength 7. SIGNAL CONNECTION SYSTEM Relationship Mapping: • Links consecutive signals with lines • Solid lines: Same direction (continuation) • Dotted lines: Opposite direction (reversal) • Maximum 10 connections maintained • Distance limit: 100 bars Purpose: • Identifies signal clusters • Shows trend development • Reveals regime persistence • Confirms directional bias 8. REGIME ZONE MAPPING Unified Zone Visualization: • Main zones: Full regime periods (entry to exit) • Emphasis zones: Specific trigger points • Historical memory: Last 20 regime shifts • Color gradient based on intensity • Border style indicates zone type Zone Analytics: • Duration tracking • Maximum excursion • Retest probability • Support/resistance conversion 9. DYNAMIC RISK MANAGEMENT ATR-Based Position Sizing: • Stop loss: 1.0 × ATR from entry • Target 1: 2.0 × ATR (2R) • Target 2: 4.0 × ATR (4R) • Volatility-adjusted scaling Visual Target System: • Entry pointer lines • Target boxes with prices • Stop boxes with invalidation • Real-time P&L tracking 10. PROFESSIONAL DASHBOARD Real-Time Metrics Display: Primary Metrics: • Current MMD value and threshold • Risk level (MMD/threshold ratio) • Velocity (rate of change) • Acceleration (second derivative) Signal Information: • Active signal type and entry • Stop loss and targets • Current P&L percentage • Bars since signal Market Metrics: • Directional bias (BULL/BEAR) • Confidence percentage • Win rate statistics • Signal count tracking Visual Design: • Four position options • Three size modes • Five color themes • Gauge visualizations • Status banners 11. MMD INFO PANEL Floating Statistics: • Compact 3×4 table • MMD vs threshold comparison • Velocity with direction arrows • Current bias indication • Always-visible reference FIVE COLOR THEMES Quantum: Cyan/Magenta/Yellow - Modern, high contrast, optimal visibility Matrix: Green/Red - Classic terminal aesthetic, traditional Fire: Orange/Gold/Red - Warm spectrum, energetic feel Aurora: Northern lights palette - Unique, beautiful gradients Nebula: Deep space colors - Purple/Blue, futuristic HOW TO USE Step 1: Select Your Kernel • RBF for normal markets (stocks, forex majors) • Laplacian for volatile markets (small-caps, news-driven) • Cauchy for fat-tail markets (crypto, emerging markets) Step 2: Configure Bandwidth • 0.5-2.0: Scalping (high sensitivity) • 2.0-5.0: Day trading (balanced) • 5.0-10.0: Swing trading (smooth signals) Step 3: Set Analysis Windows • Reference: 3-5× your holding period • Test: Reference ÷ 3 approximately • Adjust based on timeframe Step 4: Calibrate Threshold • Start with 0.15 default • Increase if too many signals • Decrease for earlier detection Step 5: Enable Visuals • Probability Cloud for volatility assessment • Momentum Flow for direction confirmation • Regime Zones for historical context • Signal Connections for trend visualization Step 6: Monitor Dashboard • Check MMD vs threshold • Verify regime state • Confirm directional bias • Review confidence metrics Step 7: Execute Signals • Wait for triangle markers • Verify regime shift confirmed • Check risk/reward setup • Enter at close or next open Step 8: Manage Position • Place stop at calculated level • Scale out at Target 1 (2R) • Trail remainder to Target 2 (4R) • Exit if regime reverses OPTIMIZATION GUIDE By Market Type: Forex Majors: • Kernel: RBF • Bandwidth: 2.0-3.0 • Windows: 100/30 • Threshold: 0.15 Stock Indices: • Kernel: RBF • Bandwidth: 3.0-4.0 • Windows: 150/50 • Threshold: 0.20 Cryptocurrencies: • Kernel: Cauchy • Bandwidth: 2.5-3.5 • Windows: 100/30 • Threshold: 0.10-0.15 Commodities: • Kernel: Laplacian • Bandwidth: 2.0-3.0 • Windows: 200/60 • Threshold: 0.15-0.25 By Timeframe: Scalping (1-5m): • Test Window: 10-20 • Reference: 50-100 • Bandwidth: 1.0-2.0 • Cooldown: 5-10 bars Day Trading (15m-1H): • Test Window: 30-50 • Reference: 100-150 • Bandwidth: 2.0-3.0 • Cooldown: 10-20 bars Swing Trading (4H-Daily): • Test Window: 50-100 • Reference: 200-300 • Bandwidth: 3.0-5.0 • Cooldown: 20-50 bars ADVANCED FEATURES Multi-Timeframe Capability: • HTF MMD calculation via security() • Regime alignment across timeframes • Fractal analysis support Statistical Arbitrage Mode: • Pair trading applications • Spread divergence detection • Cointegration breaks Machine Learning Integration: • Export signals for ML training • Regime labels for classification • Feature extraction support PERFORMANCE METRICS Computational Complexity: • MMD calculation: O(m×n) where m,n are window sizes • Memory usage: O(m+n) for kernel matrices • Update frequency: Every bar (real-time) • Optimization: Incremental updates where possible Typical Signal Frequency: • Conservative settings: 2-5 signals/week • Balanced settings: 5-10 signals/week • Aggressive settings: 10-20 signals/week Win Rate Expectations: • Trend following mode: 40-50% wins, 2:1 reward/risk • Mean reversion mode: 60-70% wins, 1:1 reward/risk • Depends heavily on market conditions IMPORTANT DISCLAIMERS • This indicator detects statistical divergence, not future price direction • MMD measures distribution distance, not predictive probability • Past regime shifts do not guarantee future performance • Kernel methods are descriptive statistics, not AI predictions • Requires minimum 100 bars historical data for stability • Performance varies significantly across market conditions • Not suitable for illiquid or heavily manipulated markets • Always use proper risk management and position sizing • Backtest thoroughly on your specific instruments • This is an analysis tool, not a complete trading system THEORETICAL FOUNDATION The Maximum Mean Discrepancy was introduced by Gretton et al. (2012) as a kernel-based statistical test for comparing distributions. In financial markets, we adapt this technique to detect when return distributions shift, indicating potential regime changes. The mathematical rigor of MMD provides a robust, non-parametric approach to identifying market transitions without assuming specific distribution shapes. SUPPORT & UPDATES • Questions or configuration help via TradingView messaging • Bug reports addressed within 48 hours • Feature requests considered for monthly updates • Video tutorials available on request • Join our community for strategy discussions FINAL NOTES KMD Pro represents a paradigm shift in technical analysis - moving from price-based indicators to distribution-based detection. By measuring statistical divergence rather than price divergence, the system identifies regime changes that precede traditional breakouts. This anticipatory capability, combined with comprehensive visualization and risk management, provides traders with an institutional-grade toolkit for navigating modern market dynamics. Remember: The edge comes not from the indicator alone, but from understanding when market distributions diverge from their normal state and positioning accordingly. Use KMD Pro as part of a complete trading strategy that includes fundamental analysis, risk management, and market context.
Indicateur Pine Script®
par DskyzInvestments
Volume Heatmap + Buy/Sell splitits the most powerful volume based heatmap you can see on this platform. It tells you when the high volume is coming into the market with clear signs. Sell - You will see the red bar below the split to confirm its a sell and the strength or the sell you can see above the split line in various colors e.g. lite green (low) to Dark red (extra high). Buy - If there is a Buying trade being registered, it will appear above the spit line in opaque green with the heatmap colors to show the strength of volume. This tool will help you identify the volume strength and based on that you can plan your trade. PS, its always recommended to not to rely on a single oscillator and combine few. I would recommend you to use RSI and S/R lines with this for better decision. Note, this tool has been put together for educational purposes and I do not take any responsibility of your trade.
Indicateur Pine Script®
par imr77
Velocity Pressure Index | AlphaNattVelocity Pressure Index (VPI) | AlphaNatt A sophisticated momentum oscillator that combines price velocity analysis with volume pressure dynamics to identify high-probability trading opportunities. 📊 KEY FEATURES Dual Analysis System: Merges price velocity measurement with volume pressure analysis for comprehensive market momentum assessment Dynamic Normalization: Automatically scales values between -100 and +100 for consistent readings across all market conditions Adaptive Zones: Self-adjusting overbought/oversold levels based on recent price history Multi-Layer Confirmation: Combines momentum, acceleration, and crossover signals for robust trade identification Volume-Weighted Pressure: Differentiates between bullish and bearish volume to gauge true market sentiment 📈 HOW IT WORKS The VPI calculates price velocity using linear regression of price changes, then weights this velocity by the difference between bullish and bearish volume pressure. This creates a momentum reading that accounts for both price movement speed and the volume conviction behind it. Signal Generation: Price velocity is measured over the specified period Volume is separated into bullish (close > open) and bearish (close < open) pressure Velocity is amplified or dampened based on volume pressure differential The resulting index is normalized to oscillate between -100 and +100 A signal line smooths the oscillator for crossover detection 🎯 TRADING SIGNALS Long Signals (Cyan #00F1FF): Strong Bull: VPI > Signal with positive momentum and acceleration Crossover Bull: VPI crosses above signal while above oversold zone Divergence: Price makes lower low while VPI makes higher low Short Signals (Magenta #FF019A): Strong Bear: VPI < Signal with negative momentum and deceleration Crossover Bear: VPI crosses below signal while below overbought zone Divergence: Price makes higher high while VPI makes lower high ⚙️ CUSTOMIZABLE PARAMETERS Velocity Settings: Velocity Period (14): Lookback for price velocity calculation Pressure Period (21): Volume analysis window Smoothing Factor (3): Final oscillator smoothing Signal Configuration: Signal Type: Choose between SMA, EMA, or DEMA Signal Length (9): Signal line smoothing period Normalization Period (50): Range calculation window Dynamic Zones: Zone Lookback (100): Period for adaptive overbought/oversold calculation Percentiles: 80th/20th percentiles for dynamic zones 📐 VISUAL COMPONENTS Main Oscillator: Color-coded line showing current momentum state Signal Line: White line for crossover detection Momentum Histogram: Shows velocity differential at 50% scale Dynamic Zones: Self-adjusting overbought/oversold bands Extreme Levels: ±50 dotted lines marking extreme conditions Background Shading: Subtle highlighting of overbought/oversold regions 💡 USAGE TIPS Trend Trading: Use strong bull/bear signals in trending markets for continuation entries Range Trading: Focus on crossovers near extreme zones for reversal trades Divergence Trading: Watch for price/oscillator divergences at market extremes Multi-Timeframe: Combine with higher timeframe VPI for directional bias Volume Confirmation: Stronger signals occur with aligned volume pressure ⚠️ BEST PRACTICES The VPI works best in liquid markets with reliable volume data. For optimal results, combine with price action analysis and use appropriate risk management. The indicator is most effective during trending conditions but can identify reversals when divergences occur at extremes. 🔔 ALERTS AVAILABLE VPI Long/Short Signals Bullish/Bearish Crossovers Extreme Overbought/Oversold Conditions Version 6 | Pine Script™ | © AlphaNatt
Indicateur Pine Script®
par AlphaNatt
1
Dual Table Dashboard - Correct V3add RSI Data## 📈 Trading Applications ### 1. Trend Following Strategy ``` 1. Check TABLE 1 for trend direction (AnEMA29 + PDMDR) 2. If both green → Look for longs 3. If both red → Look for shorts 4. Use TABLE 2 for entry levels ``` ### 2. Support/Resistance Strategy ``` @70 levels = Resistance (sell/take profit zones) @50 levels = Pivot (breakout levels) @30 levels = Support (buy/accumulation zones) ``` ### 3. Multi-Timeframe Alignment ``` W_RSI → Weekly bias (long-term) D_RSI → Daily bias (medium-term) Sto50 → Current position (swing) Sto12 → Immediate position (day trade) RSI(7) & RSI(3) → Entry timing (scalp) ``` ### 4. Color Scanning Method **Quick visual analysis:** - Count greens vs reds in each row - More greens = Bullish position - More reds = Bearish position - Mixed colors = Transitioning/choppy --- ## ✅ Verification & Accuracy ### Tested Against AmiBroker: - ✅ RSI band values match within ±0.01% - ✅ Stochastic channels match exactly - ✅ Color logic matches exactly - ✅ All formulas verified line-by-line ### Known Minor Differences: Small variations (<1%) may occur due to: 1. **Platform calculation precision** - Different floating-point engines 2. **Historical data feeds** - Slight variations in past prices 3. **Weekly bar boundaries** - TradingView vs AmiBroker week definitions 4. **Initialization period** - First N bars need to "warm up" **These minor differences don't affect trading signals!** --- ## ⚙️ Settings & Customization ### Input Parameters: ```pine emaLen = 29 // EMA Length for angle calculation rangePeriods = 30 // Angle normalization lookback rangeConst = 25 // Angle normalization constant dmiLen = 14 // DMI/ADX Length for PDMDR ``` ### Available Positions: Can be changed in the code: - `position.top_left` - `position.top_center` - `position.top_right` - `position.middle_left` (Table 2 default) - `position.middle_center` - `position.middle_right` - `position.bottom_left` (Table 1 default) - `position.bottom_center` - `position.bottom_right` ### Text Sizes: - `size.tiny` - `size.small` (current default) - `size.normal` - `size.large` - `size.huge` --- ## 🎯 Best Practices ### DO: ✅ Use multiple confirmations before entering trades ✅ Combine with price action and chart patterns ✅ Pay attention to color changes across timeframes ✅ Use @50 levels as key pivot points ✅ Watch for alignment between W_RSI and D_RSI ### DON'T: ❌ Trade based on color alone without confirmation ❌ Ignore the overall trend (Table 1) ❌ Enter trades against strong trend signals ❌ Overtrade when colors are mixed/choppy ❌ Ignore risk management rules --- ## 📊 Example Reading ### Bullish Setup: ``` TABLE 1: AnEMA29: Green (15°) across all 3 bars PDMDR: Green (1.65) and rising TABLE 2: W_RSI@50: Green (price above) D_RSI@50: Green (price above) Sto50@50: Green (price above midpoint) Sto12@50: Green (price above midpoint) Interpretation: Strong bullish trend confirmed across multiple timeframes Action: Look for long entries on pullbacks to @50 or @30 levels ``` ### Bearish Setup: ``` TABLE 1: AnEMA29: Red (-12°) across all 3 bars PDMDR: Red (0.45) and falling TABLE 2: W_RSI@50: Red (price below) D_RSI@50: Red (price below) Sto50@50: Red (price below midpoint) Interpretation: Strong bearish trend confirmed Action: Look for short entries on rallies to @50 or @70 levels ``` ### Reversal Signal: ``` TABLE 1: -2D: Red, -1D: Yellow, 0D: Green (momentum shifting) TABLE 2: Price just crossed above multiple @50 levels Colors changing from red to green Interpretation: Potential trend reversal in progress Action: Wait for confirmation, consider early long entry with tight stop ``` --- ## 🔍 Troubleshooting ### "Values don't match AmiBroker exactly" - Check you're on the same timeframe - Verify the symbol is identical - Compare historical data (last 20 closes) - Small differences (<1%) are normal ### "Tables are overlapping" - Adjust positions in code - Use different combinations (top/middle/bottom with left/center/right) ### "Colors seem wrong" - Verify current close price - Check if you're comparing same bar - Ensure both platforms use same session times ### "Script takes too long" - Use on Daily or higher timeframes - The RSI band calculation is computationally intensive - Don't run on tick-by-tick data --- ## 📝 Version History **v3.0 (Final)** - Current version - RSI band calculation verified correct - Tables positioned bottom-left and middle-left - All values match AmiBroker - Production ready ✅ **v2.0** - Fixed RSI band algorithm order (calculate before updating P/N) - Improved variable scope handling **v1.0** - Initial implementation - Had incorrect RSI band calculation --- ## 📄 Files in Package
Indicateur Pine Script®
par insomniac_vampire
1
ATR %ATR % Oscillator A simple and effective Average True Range (ATR) indicator displayed as a percentage of the current price in a separate panel. FEATURES: • ATR displayed as percentage of current price for easy cross-asset comparison • EMA smoothing line using the same period as ATR • Configurable ATR period (default: 20) • Clean visualization with zero reference line HOW IT WORKS: The indicator calculates ATR and converts it to a percentage: (ATR / Close) × 100 This normalization allows you to: - Compare volatility across different instruments regardless of price - Identify high and low volatility periods - Use the EMA line to spot volatility trends PARAMETERS: ATR Period - The lookback period for ATR calculation (default: 20) Timeframe - Choose any timeframe for ATR calculation independently from the chart timeframe (default: chart timeframe)
Indicateur Pine Script®
par audrius_exe