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Bitcoin (Crypto-monnaie)

Global Money Flow & Liquidity [Inter-market]This script helps you define the current smart money (institutional) flow between most important assets in the world. Metal (Gold, Silver), USD assets (U.S. Treasuries/Bond) and Cryptocurrencies (BTC). The Y-Axis: Z-Score (Standard Deviation) Instead of showing Price (where Gold is $2000 and S&P is $4000), this script converts everything into "Sigma" or Z-Score. +2.0 (High): This means the price is 2 standard deviations above its average. This is statistically "expensive" or "overextended." A reversal usually happens here. 0.0 (The Zero Line): This is the Mean (Average). If a line is at 0, the asset is trading exactly at its average value for the lookback period (20 days in your settings). It is "fair value." -2.0 (Low): This means the price is 2 standard deviations below its average. This is statistically "cheap" or "oversold." The Correlation shows how relevant those assets are related to the current chart, e.g., if you are looking at Gold, then the Corr. should be 0.99 or close to 1.
Indicateur Pine Script®
par xyd945
BTC Valuation ZonesBTC Valuation – Distance From 200 MA This indicator provides a simple but powerful Bitcoin valuation framework based on how far price is from the 200-period Moving Average, a level that has historically acted as Bitcoin’s long-term equilibrium. Instead of predicting tops or bottoms, this tool focuses on mean-reversion behavior: When price deviates too far above the 200 MA → risk increases When price deviates deeply below the 200 MA → long-term opportunity increases
Indicateur Pine Script®
par LeonardoDaTrader
Adoptive Conditional range High/Low MA Crossover StrategyDeveloped from the doctoral research of Abu-Kadunagra at ****** University's in Australia, this strategy implements a "Campaign-Based Adaptive Execution" framework. It moves beyond simple entries and exits by treating each market engagement as a multi-phase campaign with distinct operational states. The system intelligently identifies cyclical turning points, then employs a feedback-driven approach to capital allocation—reinforcing successful momentum with pyramiding while deploying controlled defensive averaging during temporary setbacks. By anchoring its exit mechanism to dynamically updated market structure rather than static profit targets, the algorithm seeks to capture cyclical momentum while maintaining disciplined risk parameters. This research-driven approach represents an evolution toward state-aware algorithmic systems that adapt their tactics in real-time based on market phase recognition.
Stratégie Pine Script®
par kadunagra
Conditional-range High/Low adoptive-MA Crossover StrategyDeveloped from the doctoral research of Abu-Kadunagra at ****** University on topic of Digital Finance and Crypto in Australia, this strategy implements a "Campaign-Based Adaptive Execution" framework. It moves beyond simple entries and exits by treating each market engagement as a multi-phase campaign with distinct operational states. The system intelligently identifies cyclical turning points, then employs a feedback-driven approach to capital allocation—reinforcing successful momentum with pyramiding while deploying controlled defensive averaging during temporary setbacks. By anchoring its exit mechanism to dynamically updated market structure rather than static profit targets, the algorithm seeks to capture cyclical momentum while maintaining disciplined risk parameters. This research-driven approach represents an evolution toward state-aware algorithmic systems that adapt their tactics in real-time based on market phase recognition.
Stratégie Pine Script®
par kadunagra
BTC ETF Average Inflow Cost BasisConcept Since the historic launch of Bitcoin Spot ETFs on January 11, 2024, institutional flows have become a major driver of price action. This indicator aims to visualize the aggregate Cost Basis (average entry price) of the major Bitcoin ETFs relative to the underlying asset. It serves as an on-chain proxy for institutional positioning, helping traders identify critical support levels where ETF inflows have historically concentrated. How it Works The script aggregates daily volume data from the top Bitcoin ETFs (IBIT, FBTC, ARKB, GBTC, BITB) and compares it against the Bitcoin price (BTCUSDT). ETF Cost Basis (Pink Line): This is calculated as a Cumulative Volume-Weighted Average Price (VWAP), anchored specifically to the ETF launch date (Jan 11, 2024). Formula: It accumulates (BTC Price * Total ETF Volume) and divides it by the Cumulative Total ETF Volume. This creates a dynamic level representing the "breakeven" price for the aggregate volume traded through these funds. True Market Mean (Gray Line): This represents the simple cumulative average of the Bitcoin price since the ETF launch date. It acts as a neutral baseline for the post-ETF market era. How to Use Institutional Support: The Cost Basis line often acts as a strong dynamic support level during corrections. When price revisits this level, it suggests the market is returning to the average institutional entry price. Trend Filter: Price > Cost Basis: The market is in a net profit state relative to ETF flows (Bullish/Trend continuation). Price < Cost Basis: The market is in a net loss state (Bearish/Capitulation risk). Confluence: The intersection of the Cost Basis and the True Market Mean can signal pivotal moments of trend reset. Features Data Aggregation: Pulls data from 5 major ETFs via request.security without repainting (using closed bars). Dashboard: Includes a table in the top-right corner displaying real-time values for Price, Cost Basis, and Market Mean. Customization: You can toggle individual ETF Moving Averages in the settings (disabled by default due to price scale differences between BTC and ETF shares). Disclaimer This tool is for educational purposes only and attempts to estimate institutional cost basis using volume proxies. It does not represent financial advice.
Indicateur Pine Script®
par carlosbucci
Vega Convexity Regime Filter [Institutional Lite]STOP TRADING THE NOISE. 90% of retail trading losses occur during "Chop"—sideways markets where standard trend-following bots bleed capital through slippage and fees. Institutional desks know that the secret to high returns isn't just winning trades; it's knowing when to sit in cash. The Vega V6 Regime Filter is the "Gatekeeper" layer of our proprietary Hierarchical Machine Learning engine (developed by a 25-year TradFi Risk Quant). It calculates a composite volatility score to answer one simple question: Is this asset tradeable right now? THE VISUAL LOGIC This indicator visually filters market conditions into two distinct Regimes based on our institutional backtests: 🌫️ GREY BARS (Noise / Chop) The State: Volatility is compressing. The trend is undefined or weak. The Trap: This is where MACD/RSI give false signals. Institutional Action: Sit in Cash. Preserve Capital. Wait. 🟢 🔴 COLORED BARS (Impulse) The State: Volatility is expanding. Momentum is statistically significant. The Opportunity: A "Fat-Tail" move is likely beginning. Institutional Action: Deploy Risk. Look for entries. HOW IT WORKS (The Math) Unlike simple moving average crossovers, the Vega Gatekeeper analyzes 4 distinct market dimensions simultaneously to generate a Tradeability Score (0-10) : Trend Strength (ADX): Is there a vector? Momentum (RSI/MACD): Is the move accelerating? Volatility (Bollinger Bands): Is the range expanding? Volume Flow: Is there institutional participation? The Rule: If the composite score is < 4 , the market is Noise. The bars turn Grey. You do nothing. BEST PRACTICES For Swing Trading (Daily): Use Medium sensitivity. Only look for entries when the background turns Green/Red. For Day Trading (4H/1H): Use Low sensitivity (more conservative). Use the Grey zones to tighten stops or exit positions. THE PHILOSOPHY: "CASH IS A POSITION" Most traders feel the need to be in a trade 24/7. The Vega V6 Engine (the system this tool is based on) achieved a +3,849% backtested return (18 months) largely by sitting in cash during chop. This tool visualizes that discipline. 🔒 WANT THE DIRECTIONAL SIGNALS? This Lite version provides the Regime (When to trade). To get the specific Entry Signals , Intraday Stop-Losses , and Probability Matrix (Stage 2 of our model), you need the Vega V6 Convexity Engine . The Pro Version includes: 🚀 Specific Direction: Classification of "Explosion," "Rally," or "Crash." 🛡️ Dynamic Risk: Plots the exact Stop Loss levels used in our institutional backtests. 🌊 Macro Data: Integration of M2 Liquidity flow alerts. 👉 ACCESS INSTRUCTIONS: Links to the Pro System , our Live Dashboard , and the 18-Month Performance Audit can be found in the Author Profile below or in the script settings. Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results. Trading cryptocurrencies involves significant risk.
Indicateur Pine Script®
par VegaCryptoStrategies
AlphaGen ME V.15.12AlphaGen ME V.15.10 is an ATR-based trend-following strategy with dynamic trailing stops and EMA filter, designed for automated Crypto perpetual trading. Core Logic: • ATR Trailing Stops: Dynamically adjusts stop-loss using ATR(10) × 3.0 multiplier • 200 EMA Trend Filter: Optional Only takes longs above EMA, shorts below EMA • Reversal System: Flips positions when trend changes (filter-aware) • MACD Acceleration Exit: Optional momentum-based profit taking Position Sizing Modes: • Simple % of Equity (default 90%) - Safe leverage control • Risk % of Equity - Fixed risk per trade • Fixed Contract Size - Consistent lot sizing Webhook Integration: Routes signals directly to AlphaGen-AI for execution on: • Hyperliquid DEX • AsterDEX Requirements: • AlphaGen-AI Pro subscription for webhook routing • Hyperliquid or AsterDEX Wallets • TradingView alerts configured with passphrase Risk Disclosure: Trading involves substantial risk. Past performance does not guarantee future results. Only trade with capital you can afford to lose.
Stratégie Pine Script®
par AlphaGenAI_app
Structure Break ModelMAIN FEATURES Supported Assets & Timeframe This indicator is specifically designed and calibrated for 30 USDT trading pairs on the H4 timeframe, all of which have been actively traded for over 1,000 days, including: BTCUSDT, ETHUSDT, XRPUSDT, BNBUSDT, SOLUSDT, TRXUSDT, DOGEUSDT, ADAUSDT, XLMUSDT, BCHUSDT, ZECUSDT, LINKUSDT, HBARUSDT, UNIUSDT, LTCUSDT, AVAXUSDT, SHIBUSDT, DOTUSDT, AAVEUSDT, NEARUSDT, ETCUSDT, ICPUSDT, FILUSDT, APTUSDT, ENSUSDT, ATOMUSDT, VETUSDT, QNTUSDT, CRVUSDT, INJUSDT Using the script on other pairs or timeframes will trigger an automatic warning to prevent incorrect usage. 1. Structural Weakening Model (Core Logic) At the heart of the system lies the Structural Weakening Model (SWM) — a multi-layered market-structure engine that identifies momentum exhaustion and confirms genuine reversals using pivot-based swing architecture. Pivot Structure Mapping The indicator continuously analyzes Pivot Highs and Pivot Lows (length = 5) to establish clean, stable swing structure. Weakening Pattern Detection The model evaluates directional fatigue by detecting pivot sequences: 2–6 Higher Lows → Weakening buyers → Potential SELL setup 2–6 Lower Highs → Weakening sellers → Potential BUY setup This mechanism identifies “compression zones” where market pressure fades before a structural shift. Breakout Confirmation Layer A signal is only triggered when price breaks the final structural anchor of the pivot chain. This ensures: Optional Trend Filter (MA Alignment) Users may select EMA, SMA, WMA, HMA and more. Price above MA → BUY-only mode Price below MA → SELL-only mode This keeps signals aligned with broader market flow. Visual Example – SELL Signal (TP Hit) 2. Signal Conditions (How the System Works) SELL Setups Triggered when: Price forms 2–6 higher lows, signaling weakening buyers Price breaks below the structural pivot anchor (Optional) Price is below the MA filter BUY Setups Triggered when: Price forms 2–6 lower highs, signaling weakening sellers Price breaks above the structural pivot anchor (Optional) Price is above the MA filter Visual Example – SELL Signal (SL Hit) 3. Automatic Capital Management The script integrates full risk-management utilities: Starting capital (default 10,000 USDT) Risk % per trade Leverage (x10 → x100) Automatic position sizing Margin requirements Real-time TP/SL calculations This turns the indicator into not just a signal tool, but a complete trading assistant. 4. Flexible Stop-Loss System Users may choose: Swing-based SL (nearest structural pivot) Fixed SL % Custom TP based on R:R (1:1.5 → 1:5) Default R:R = 1:2 SL/TP levels update instantly whenever settings change. Input Settings Menu 5. Visual Interface The chart displays: Entry, TP, SL (extended 20 candles) BUY/SELL labels Real-time TP/SL hit status Full info panel: Latest signal Entry price TP/SL Leverage Risk % Required margin Win/loss & R statistics Days on chart: The total number of trading days calculated from your chart’s visible data All signals follow the exact same logic in historical and real-time charts. Zero repainting. 6. Internal Backtest Engine (Not Official TradingView Backtesting) The script includes an internal backtest calculator that evaluates: SL methods TP R:R settings Signal quality Aggregate R performance ⚠ This is an internal calculation tool, not the official TradingView Strategy Tester. Its purpose is to help users understand how different settings behave when applied to past data. 7. 1-Day Free Trial Users may message the author on TradingView to request: 1-day trial access Ability to test signals in real-time Compare different SL/RR settings Verify that the indicator does not repaint Inspect how the engine behaves on the supported 30-coin dataset This allows users to evaluate the tool transparently before subscribing. 8. Market Coverage & Deep Backtest Basis This indicator is calibrated on the 30 largest USDT pairs, providing a deep historical dataset with stable liquidity and clearer structural swings. The long backtest range and high signal density help reduce noise and ensure more consistent behavior across different market conditions. ⚠ Disclaimer This indicator is a quantitative analysis tool created for educational purposes only. All “optimal settings” are derived from historical market behavior and do not guarantee future performance. Market conditions change, and every trader must apply independent risk management. Trading involves risk. Use responsibly.
Indicateur Pine Script®
par tohungmc
4
BTC DCA Risk Metric StrategyBTC DCA Risk Strategy - Automated Dollar Cost Averaging with 3Commas Integration Overview This strategy combines the proven Oakley Wood Risk Metric with an intelligent tiered Dollar Cost Averaging (DCA) system, designed to help traders systematically accumulate Bitcoin during periods of low risk and take profits during high-risk conditions. Key Features 📊 Multi-Component Risk Assessment 4-Year SMA Deviation: Measures Bitcoin's distance from its long-term mean 20-Week MA Analysis: Tracks medium-term momentum shifts 50-Day/50-Week MA Ratio: Captures short-to-medium term trend strength All metrics are normalized by time to account for Bitcoin's maturing market dynamics 💰 3-Tier DCA Buy System Level 1 (Low Risk): Conservative entry with base allocation Level 2 (Lower Risk): Increased allocation as opportunity improves Level 3 (Extreme Low Risk): Maximum allocation during rare buying opportunities Buys execute every bar while risk remains below thresholds, enabling true DCA accumulation 📈 Progressive Profit Taking Sell Level 1: Take initial profits as risk increases Sell Level 2: Scale out further positions during elevated risk Sell Level 3: Final exit during extreme market conditions Sell levels automatically reset when new buy signals occur, allowing flexible re-entry 🤖 3Commas Integration Fully automated webhook alerts for Custom Signal Bots JSON payloads formatted per 3Commas API specifications Supports multiple exchanges (Binance, Coinbase, Kraken, Gemini, Bybit) Configurable quote currency (USD, USDT, BUSD) How It Works The strategy calculates a composite risk metric (0-1 scale): 0.0-0.2: Extreme buying opportunity (green zone) 0.2-0.5: Favorable accumulation range (yellow zone) 0.5-0.8: Neutral to cautious territory (orange zone) 0.8-1.0+: High risk, profit-taking zone (red zone) Buy Logic: As risk decreases, position sizes increase automatically. If risk drops from L1 to L3 threshold, the strategy combines all three tier allocations for maximum exposure. Sell Logic: Sequential profit-taking ensures you capture gains progressively. The system won't advance to Sell L2 until L1 completes, preventing premature full exits. Configuration Risk Metric Parameters: All calculations use Bitcoin price data (any BTC chart works) Time-normalized formulas adapt to market maturity No manual parameter tuning required Buy Settings: Set risk thresholds for each tier (default: 0.20, 0.10, 0.00) Define dollar amounts per tier (default: $10, $15, $20) Fully customizable to your risk tolerance and capital Sell Settings: Configure risk thresholds for profit-taking (default: 1.00, 1.50, 2.00) Set percentage of position to sell at each level (default: 25%, 35%, 40%) 3Commas Setup: Create a Custom Signal Bot in 3Commas Copy Bot UUID and Secret Token into strategy inputs Enable 3Commas Alerts checkbox Create TradingView alert: Condition → "alert() function calls only", Webhook → api.3commas.io Backtesting Results Strengths: Systematically buys dips without emotion Averages down during extended bear markets Captures explosive bull run profits through tiered exits Pyramiding (1000 max orders) allows true DCA behavior Considerations: Requires sufficient capital for multiple buys during prolonged downtrends Backtest on Daily timeframe for most reliable signals Past performance does not guarantee future results Visual Design The indicator pane displays: Color-coded risk metric line: Changes from white→red→orange→yellow→green as risk decreases Background zones: Green (buy), yellow (hold), red (sell) areas Dashed threshold lines: Clear visual markers for each buy/sell level Entry/Exit labels: Green buy labels and orange/red sell labels mark all trades Credits Original Risk Metric: Oakley Wood Strategy Development & 3Commas Integration: Claude AI (Anthropic) Modifications: pommesUNDwurst Disclaimer This strategy is for educational and informational purposes only. Cryptocurrency trading carries substantial risk of loss. Always conduct your own research and never invest more than you can afford to lose. The authors are not financial advisors and assume no responsibility for trading decisions made using this tool.
Stratégie Pine Script®
par nakphanan
Bitcoin Multibook v1.0 [Apollo Algo]Bitcoin Multibook v1.0 by Apollo Algo is an advanced market depth and order flow visualization tool that brings professional-grade multi-exchange order book analysis to TradingView. Inspired by Bookmap's multibook functionality and built upon LucF's original single "Tape" indicator concept, this tool aggregates real-time trading data from multiple Bitcoin exchanges into a unified tape display. Credits & Attribution This indicator is an evolution of the original "Tape" indicator created by LucF (TradingView: @LucF). The multibook enhancement and Bitcoin-specific optimizations were developed by Apollo Algo to provide traders with institutional-grade market microstructure visibility across major Bitcoin trading venues. Purpose & Philosophy Bitcoin leads the entire cryptocurrency market. By monitoring order flow across the primary Bitcoin exchanges simultaneously, traders gain crucial insights into: Cross-exchange arbitrage opportunities Institutional order flow patterns Market maker positioning True market sentiment beyond single-exchange data Key Features 📊 Multi-Exchange Data Aggregation Real-time tape from 3 major exchanges: Binance (BTCUSDT) Coinbase (BTCUSD) Kraken (BTCUSD) Customizable source inputs for any trading pair Synchronized price and volume tracking Exchange name identification in tape display 📈 Advanced Tape Display Dynamic tape visualization with configurable line quantity (0-50 lines) Directional flow indicators (＋/－ symbols for price changes) Exchange identification for each trade Volume precision control (0-16 decimal places) Flexible positioning (9 screen positions available) Real-time only operation for accurate order flow 🎯 Volume Delta Analysis Real-time cumulative volume delta calculation Divergence detection (price vs. volume direction) Colored visual feedback for market sentiment Total session delta displayed in footer Cross-exchange delta aggregation 🚨 Smart Alert System Marker 1: Volume Delta Bumps (⬆⬇) Triggers on consecutive volume delta increases Identifies momentum acceleration points Filters out divergent movements Marker 2: Volume Delta Thresholds (⇑⇓) Fires when delta exceeds user-defined thresholds Catches significant order imbalances Excludes divergence conditions Marker 3: Large Volume Detection (⤊⤋) Highlights unusually large individual trades Spots potential institutional activity Direction-specific triggers Configure Data Sources Adjust exchange pairs if needed (e.g., for altcoin analysis) Leave blank to disable specific exchanges Use format: EXCHANGE:SYMBOL Customize Display Set tape line quantity based on screen size Position the table for optimal visibility Choose color scheme (text or background) Adjust text size for readability Configure Alerts Enable desired markers (1, 2, or 3) Set volume thresholds appropriate for your timeframe Choose direction (Longs, Shorts, or Both) Create TradingView alerts on marker signals Trading Applications Scalping (1-5 min) Monitor tape speed for momentum shifts Watch for cross-exchange divergences Track large volume clusters Use Marker 1 for quick momentum trades Day Trading (5-60 min) Identify accumulation/distribution phases Spot institutional positioning Confirm breakout validity with volume delta Use Marker 2 for significant imbalances Swing Trading (1H+) Analyze volume delta trends Detect smart money rotation Time entries with order flow confirmation Use Marker 3 for institutional footprints Advanced Techniques Cross-Exchange Arbitrage Detection When price disparities appear between exchanges: Immediate Opportunity: Price differences > 0.1% Bot Activity: Rapid convergence patterns Liquidity Vacuum: One exchange leading others Divergence Trading Strategies Volume delta diverging from price direction: Absorption: Strong hands entering (price down, delta up) Distribution: Smart money exiting (price up, delta down) Reversal Setup: Sustained divergence over multiple bars Institutional Footprint Recognition Large volume characteristics: Simultaneous Spikes: Same timestamp across exchanges TWAP Patterns: Consistent volume over time Iceberg Orders: Repeated same-size trades Pine Script v6 Enhancements Type Safety Improvements Strict boolean type handling Explicit type declarations Enhanced error checking Performance Optimizations Improved request.security() function Better memory management with arrays Optimized table rendering Modern Syntax Updates indicator() instead of study() Namespaced math functions (math.round()) Typed input functions (input.int(), input.float()) Performance Considerations System Requirements Real-time Data: Essential for tape operation Multiple Security Calls: May impact performance Array Operations: Memory intensive with high line counts Table Rendering: CPU usage increases with tape size Optimization Tips Reduce tape lines for better performance Increase volume filter to reduce noise Disable unused markers Use text-only coloring for faster rendering
Indicateur Pine Script®
par d3f4ult
V-CORE Engine Free v1V-CORE Engine Free v1 — Public Release This is a simplified trend-state visualiser from the V-CORE suite, designed for clean directional bias on crypto markets using 1H+ timeframes. The engine runs fixed, non-editable internal logic with multi-stage trend confirmation. No optimisation, no signals, no settings — just locked-in regime detection for educational and research use. This free edition is a lightweight derivative of our internal V-CORE Engine architecture. It includes only the essential background-state display while keeping all proprietary components sealed. For additional V-CORE tools, future releases, or extended versions, please visit our TradingView profile.
Indicateur Pine Script®
par Vectorcoresai
MACD Forecast Colorful [DiFlip]MACD Forecast Colorful The Future of Predictive MACD — is one of the most advanced and customizable MACD indicators ever published on TradingView. Built on the classic MACD foundation, this upgraded version integrates statistical forecasting through linear regression to anticipate future movements — not just react to the past. With a total of 22 fully configurable long and short entry conditions, visual enhancements, and full automation support, this indicator is designed for serious traders seeking an analytical edge. ⯁ Real-Time MACD Forecasting For the first time, a public MACD script combines the classic structure of MACD with predictive analytics powered by linear regression. Instead of simply responding to current values, this tool projects the MACD line, signal line, and histogram n bars into the future, allowing you to trade with foresight rather than hindsight. ⯁ Fully Customizable This indicator is built for flexibility. It includes 22 entry conditions, all of which are fully configurable. Each condition can be turned on/off, chained using AND/OR logic, and adapted to your trading model. Whether you're building a rules-based quant system, automating alerts, or refining discretionary signals, MACD Forecast Colorful gives you full control over how signals are generated, displayed, and triggered. ⯁ With MACD Forecast Colorful, you can: • Detect MACD crossovers before they happen. • Anticipate trend reversals with greater precision. • React earlier than traditional indicators. • Gain a powerful edge in both discretionary and automated strategies. • This isn’t just smarter MACD — it’s predictive momentum intelligence. ⯁ Scientifically Powered by Linear Regression MACD Forecast Colorful is the first public MACD indicator to apply least-squares predictive modeling to MACD behavior — effectively introducing machine learning logic into a time-tested tool. It uses statistical regression to analyze historical behavior of the MACD and project future trajectories. The result is a forward-shifted MACD forecast that can detect upcoming crossovers and divergences before they appear on the chart. ⯁ Linear Regression: Technical Foundation Linear regression is a statistical method that models the relationship between a dependent variable (y) and one or more independent variables (x). The basic formula for simple linear regression is: y = β₀ + β₁x + ε Where: y  = predicted variable (e.g., future MACD value) x  = independent variable (e.g., bar index) β₀ = intercept β₁ = slope ε   = random error (residual) The regression model calculates β₀ and β₁ using the least squares method, minimizing the sum of squared prediction errors to produce the best-fit line through historical values. This line is then extended forward, generating a forecast based on recent price momentum. ⯁ Least Squares Estimation The regression coefficients are computed with the following formulas: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables. ⯁ Regression in Machine Learning Linear regression is a foundational model in supervised learning. Its ability to provide precise, explainable, and fast forecasts makes it critical in AI systems and quantitative analysis. Applying linear regression to MACD forecasting is the equivalent of injecting artificial intelligence into one of the most widely used momentum tools in trading. ⯁ Visual Interpretation Picture the MACD values over time like this: Time  → MACD → A regression line is fitted to recent MACD values, then projected forward n periods. The result is a predictive trajectory that can cross over the real MACD or signal line — offering an early-warning system for trend shifts and momentum changes. The indicator plots both current MACD and forecasted MACD, allowing you to visually compare short-term future behavior against historical movement. ⯁ Scientific Concepts Used Linear Regression: models the relationship between variables using a straight line. Least Squares Method: minimizes squared prediction errors for best-fit. Time-Series Forecasting: projects future data based on past patterns. Supervised Learning: predictive modeling using labeled inputs. Statistical Smoothing: filters noise to highlight trends. ⯁ Why This Indicator Is Revolutionary First open-source MACD with real-time predictive modeling. Scientifically grounded with linear regression logic. Automatable through TradingView alerts and bots. Smart signal generation using forecasted crossovers. Highly customizable with 22 buy/sell conditions. Enhanced visuals with background (bgcolor) and area fill (fill) support. This isn’t just an update — it’s the next evolution of MACD forecasting. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What is the MACD? The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram. ⯁ How to use the MACD? The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line. Here are the primary signals generated by the MACD: • Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal. • Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal. • Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal. • Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI. ⯁ How to use MACD forecast? The MACD Forecast is built on the same foundation as the classic MACD, but with predictive capabilities. Step 1 — Spot Predicted Crossovers: Watch for forecasted bullish or bearish crossovers. These signals anticipate when the MACD line will cross the signal line in the future, letting you prepare trades before the move. Step 2 — Confirm with Histogram Projection: Use the projected histogram to validate momentum direction. A rising histogram signals strengthening bullish momentum, while a falling projection points to weakening or bearish conditions. Step 3 — Combine with Multi-Timeframe Analysis: Use forecasts across multiple timeframes to confirm signal strength (e.g., a 1h forecast aligned with a 4h forecast). Step 4 — Set Entry Conditions & Automation: Customize your buy/sell rules with the 20 forecast-based conditions and enable automation for bots or alerts. Step 5 — Trade Ahead of the Market: By preparing for future momentum shifts instead of reacting to the past, you’ll always stay one step ahead of lagging traders. 📈 BUY 🍟 Signal Validity: The signal will remain valid for X bars. 🍟 Signal Sequence: Configurable as AND or OR. 🍟 MACD > Signal Smoothing 🍟 MACD < Signal Smoothing 🍟 Histogram > 0 🍟 Histogram < 0 🍟 Histogram Positive 🍟 Histogram Negative 🍟 MACD > 0 🍟 MACD < 0 🍟 Signal > 0 🍟 Signal < 0 🍟 MACD > Histogram 🍟 MACD < Histogram 🍟 Signal > Histogram 🍟 Signal < Histogram 🍟 MACD (Crossover) Signal 🍟 MACD (Crossunder) Signal 🍟 MACD (Crossover) 0 🍟 MACD (Crossunder) 0 🍟 Signal (Crossover) 0 🍟 Signal (Crossunder) 0 🔮 MACD (Crossover) Signal Forecast 🔮 MACD (Crossunder) Signal Forecast 📉 SELL 🍟 Signal Validity: The signal will remain valid for X bars. 🍟 Signal Sequence: Configurable as AND or OR. 🍟 MACD > Signal Smoothing 🍟 MACD < Signal Smoothing 🍟 Histogram > 0 🍟 Histogram < 0 🍟 Histogram Positive 🍟 Histogram Negative 🍟 MACD > 0 🍟 MACD < 0 🍟 Signal > 0 🍟 Signal < 0 🍟 MACD > Histogram 🍟 MACD < Histogram 🍟 Signal > Histogram 🍟 Signal < Histogram 🍟 MACD (Crossover) Signal 🍟 MACD (Crossunder) Signal 🍟 MACD (Crossover) 0 🍟 MACD (Crossunder) 0 🍟 Signal (Crossover) 0 🍟 Signal (Crossunder) 0 🔮 MACD (Crossover) Signal Forecast 🔮 MACD (Crossunder) Signal Forecast 🤖 Automation All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies. ⯁ Unique Features Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill" Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill"
Indicateur Pine Script®
par DiFlip
2
RT-Bitcoin Funding CandlesIntroduction The RT-Bitcoin Funding Candles indicator and the RT-Bitcoin Spot vs Perp Funding indicator are designed to visualize Bitcoin funding conditions using estimated spot versus perpetual futures pricing. Together, they help traders see how funding has been behaving and where leveraged traders may be leaning over time. These two indicators are meant to be used together, and this write-up will cover how to utilize both tools. The RT-Bitcoin Funding Candles indicator converts estimated funding information into custom candle colors on the chart. The RT-Bitcoin Spot vs Perp Funding indicator shows the same concept in a separate panel, similar to how many traders use RSI or other oscillators. Both tools are intended as context layers around funding behavior, not standalone signal generators. RT-Bitcoin Funding Candles Indicator The RT-Bitcoin Funding Candles indicator uses estimated differences between Bitcoin spot prices and perpetual futures prices to color each candle based on whether conditions are more aligned with bullish leveraged positioning or bearish spot-driven pressure. In general terms: When perpetual futures trade at a premium to spot for extended periods, conditions are often associated with more aggressive leveraged long positioning. When perpetual futures trade at a discount to spot, conditions can indicate stress on leveraged longs or periods where spot demand is stronger relative to perp. The indicator converts this estimated spot versus perp relationship into a color scale on the candles: Bullish / Leveraged Funding Scale Dark Blue → Blue → Light Blue → White Bearish / Spot Funding Scale Dark Red → Red → Orange → Yellow This allows traders to look at a BTC chart and quickly see whether estimated funding has been skewed toward leveraged longs or more spot-driven pressure during each candle. Displaying Funding Candles On Top Of Price By default, some chart layouts may draw the RT-Bitcoin Funding Candles indicator behind the main price candles. To make the funding candles fully visible: Right click on the RT-Bitcoin Funding Candles indicator on your chart. Select Visual Order . Choose Bring to Front . Once this is done, the funding candles will sit on top of or replace the normal bar colors, making the funding bias easier to see at a glance. RT-Bitcoin Funding Candles Settings The RT-Bitcoin Funding Candles indicator includes a small set of tuning options so traders can control which exchange data is used and how sensitive the color transitions are. Key settings include: Exchange Selection Allows the trader to select which funding source is used for the calculation. Common options include: Binance, Deribit and Bybit. This lets traders align the indicator with the exchange they track most closely. Smoothness Adjuster Controls how sensitive the candle colors are to short-term changes in the spot versus perp relationship. Lower smoothing values will make colors react more quickly, but can be noisier. Higher smoothing values will make colors change less often, focusing on more persistent funding conditions. Customizing Funding Candle Colors Traders who prefer different color palettes can customize the funding candle colors in the Style tab of the indicator settings. Open the RT-Bitcoin Funding Candles indicator settings. Go to the Style tab. Adjust the colors and opacities for each bullish and bearish funding color step. This allows traders to keep the same logic while matching the visuals to their own chart themes. RT-Bitcoin Spot vs Perp Funding Indicator The RT-Bitcoin Spot vs Perp Funding indicator presents the same core concept in a separate, oscillator-style panel, similar to how traders might use RSI or other momentum tools. Instead of recoloring the main candles, it plots lines that reflect how strong the estimated spot versus perp funding relationship has been over time. This can make it easier to compare current conditions to previous periods and to see when funding has moved into more extreme zones. RT-Bitcoin Spot vs Perp Funding Settings The RT-Bitcoin Spot vs Perp Funding indicator provides a set of inputs so traders can tune how the estimated funding lines behave visually: Premium Sensitivity Controls how sensitive the plotted lines are to changes in the underlying estimated spot versus perp relationship. Higher sensitivity will cause the lines to move more aggressively. Lower sensitivity will smooth smaller fluctuations and focus on larger swings. Premium Smoother Applies additional smoothing to the raw estimated funding data. Because the underlying data can be noisy in its raw form, this setting helps reduce erratic spikes so that major shifts in funding are easier to read. Exchange Toggles Allows the trader to choose which exchanges are displayed in the panel. For example: Show or hide Binance funding lines. Show or hide Deribit funding lines. Show or hide Bybit funding lines. If multiple exchanges are enabled, multiple lines can be displayed for comparison. Line Colors Line colors and thickness can be adjusted in the Style tab. This makes it possible to: Assign different colors to each exchange. Emphasize key lines while de-emphasizing others. How Traders Commonly Use These Tools The RT-Bitcoin Funding Candles and the RT-Bitcoin Spot vs Perp Funding indicators are typically used as part of a broader BTC workflow rather than on their own. Common usage patterns include: Context Around Extremes Comparing current estimated funding conditions to past extremes to see when funding has become unusually one-sided relative to history. Trend And Funding Alignment Studying whether strong trends are being supported by consistent estimated leveraged funding, or whether price is moving against the prevailing estimated funding bias. Multi Tool Confluence Combining estimated funding candles or the spot versus perp panel with other tools such as RT-Main Indicator, Machine Learning Reversion Bands, or pivots to build a more complete picture of market conditions. Exchange Comparison Using the Spot vs Perp Funding panel to compare how different exchanges are pricing estimated funding at the same time and to see when one venue becomes an outlier. In all cases, these indicators are intended to provide an additional layer of information about how spot and perp markets have been behaving. They are not designed to be automatic entry or exit systems. Important Note The RT-Bitcoin Funding Candles and the RT-Bitcoin Spot vs Perp Funding indicators use chart-based calculations and publicly available pricing to approximate funding behavior. They do not access private exchange order books or actual liquidation feeds, do not reveal real trader positions, and cannot guarantee that any specific funding condition will lead to a particular price move. These tools are intended to provide additional context around funding, positioning, and potential areas of interest. They are not standalone signal generators and should always be used together with your own analysis, testing, and risk management. Historical funding patterns or past interactions with these indicators do not guarantee future results. 🐋 Tight lines and happy trading!
Indicateur Pine Script®
par RainbowRunner144
RT-Bitcoin Spot vs Perp FundingIntroduction The RT-Bitcoin Funding Candles indicator and the RT-Bitcoin Spot vs Perp Funding indicator are designed to visualize Bitcoin funding conditions using estimated spot versus perpetual futures pricing. Together, they help traders see how funding has been behaving and where leveraged traders may be leaning over time. These two indicators are meant to be used together, and this write-up will cover how to utilize both tools. The RT-Bitcoin Funding Candles indicator converts estimated funding information into custom candle colors on the chart. The RT-Bitcoin Spot vs Perp Funding indicator shows the same concept in a separate panel, similar to how many traders use RSI or other oscillators. Both tools are intended as context layers around funding behavior, not standalone signal generators. RT-Bitcoin Funding Candles Indicator The RT-Bitcoin Funding Candles indicator uses estimated differences between Bitcoin spot prices and perpetual futures prices to color each candle based on whether conditions are more aligned with bullish leveraged positioning or bearish spot-driven pressure. In general terms: When perpetual futures trade at a premium to spot for extended periods, conditions are often associated with more aggressive leveraged long positioning. When perpetual futures trade at a discount to spot, conditions can indicate stress on leveraged longs or periods where spot demand is stronger relative to perp. The indicator converts this estimated spot versus perp relationship into a color scale on the candles: Bullish / Leveraged Funding Scale Dark Blue → Blue → Light Blue → White Bearish / Spot Funding Scale Dark Red → Red → Orange → Yellow This allows traders to look at a BTC chart and quickly see whether estimated funding has been skewed toward leveraged longs or more spot-driven pressure during each candle. Displaying Funding Candles On Top Of Price By default, some chart layouts may draw the RT-Bitcoin Funding Candles indicator behind the main price candles. To make the funding candles fully visible: Right click on the RT-Bitcoin Funding Candles indicator on your chart. Select Visual Order . Choose Bring to Front . Once this is done, the funding candles will sit on top of or replace the normal bar colors, making the funding bias easier to see at a glance. RT-Bitcoin Funding Candles Settings The RT-Bitcoin Funding Candles indicator includes a small set of tuning options so traders can control which exchange data is used and how sensitive the color transitions are. Key settings include: Exchange Selection Allows the trader to select which funding source is used for the calculation. Common options include: Binance, Deribit and Bybit. This lets traders align the indicator with the exchange they track most closely. Smoothness Adjuster Controls how sensitive the candle colors are to short-term changes in the spot versus perp relationship. Lower smoothing values will make colors react more quickly, but can be noisier. Higher smoothing values will make colors change less often, focusing on more persistent funding conditions. Customizing Funding Candle Colors Traders who prefer different color palettes can customize the funding candle colors in the Style tab of the indicator settings. Open the RT-Bitcoin Funding Candles indicator settings. Go to the Style tab. Adjust the colors and opacities for each bullish and bearish funding color step. This allows traders to keep the same logic while matching the visuals to their own chart themes. RT-Bitcoin Spot vs Perp Funding Indicator The RT-Bitcoin Spot vs Perp Funding indicator presents the same core concept in a separate, oscillator-style panel, similar to how traders might use RSI or other momentum tools. Instead of recoloring the main candles, it plots lines that reflect how strong the estimated spot versus perp funding relationship has been over time. This can make it easier to compare current conditions to previous periods and to see when funding has moved into more extreme zones. RT-Bitcoin Spot vs Perp Funding Settings The RT-Bitcoin Spot vs Perp Funding indicator provides a set of inputs so traders can tune how the estimated funding lines behave visually: Premium Sensitivity Controls how sensitive the plotted lines are to changes in the underlying estimated spot versus perp relationship. Higher sensitivity will cause the lines to move more aggressively. Lower sensitivity will smooth smaller fluctuations and focus on larger swings. Premium Smoother Applies additional smoothing to the raw estimated funding data. Because the underlying data can be noisy in its raw form, this setting helps reduce erratic spikes so that major shifts in funding are easier to read. Exchange Toggles Allows the trader to choose which exchanges are displayed in the panel. For example: Show or hide Binance funding lines. Show or hide Deribit funding lines. Show or hide Bybit funding lines. If multiple exchanges are enabled, multiple lines can be displayed for comparison. Line Colors Line colors and thickness can be adjusted in the Style tab. This makes it possible to: Assign different colors to each exchange. Emphasize key lines while de-emphasizing others. How Traders Commonly Use These Tools The RT-Bitcoin Funding Candles and the RT-Bitcoin Spot vs Perp Funding indicators are typically used as part of a broader BTC workflow rather than on their own. Common usage patterns include: Context Around Extremes Comparing current estimated funding conditions to past extremes to see when funding has become unusually one-sided relative to history. Trend And Funding Alignment Studying whether strong trends are being supported by consistent estimated leveraged funding, or whether price is moving against the prevailing estimated funding bias. Multi Tool Confluence Combining estimated funding candles or the spot versus perp panel with other tools such as RT-Main Indicator, Machine Learning Reversion Bands, or pivots to build a more complete picture of market conditions. Exchange Comparison Using the Spot vs Perp Funding panel to compare how different exchanges are pricing estimated funding at the same time and to see when one venue becomes an outlier. In all cases, these indicators are intended to provide an additional layer of information about how spot and perp markets have been behaving. They are not designed to be automatic entry or exit systems. Important Note The RT-Bitcoin Funding Candles and the RT-Bitcoin Spot vs Perp Funding indicators use chart-based calculations and publicly available pricing to approximate funding behavior. They do not access private exchange order books or actual liquidation feeds, do not reveal real trader positions, and cannot guarantee that any specific funding condition will lead to a particular price move. These tools are intended to provide additional context around funding, positioning, and potential areas of interest. They are not standalone signal generators and should always be used together with your own analysis, testing, and risk management. Historical funding patterns or past interactions with these indicators do not guarantee future results. 🐋 Tight lines and happy trading!
Indicateur Pine Script®
par RainbowRunner144
ADX Forecast Colorful [DiFlip]ADX Forecast Colorful Introducing one of the most advanced ADX indicators available — a fully customizable analytical tool that integrates forward-looking forecasting capabilities. ADX Forecast Colorful is a scientific evolution of the classic ADX, designed to anticipate future trend strength using linear regression. Instead of merely reacting to historical data, this indicator projects the future behavior of the ADX, giving traders a strategic edge in trend analysis. ⯁ Real-Time ADX Forecasting For the first time, a public ADX indicator incorporates linear regression (least squares method) to forecast the future behavior of ADX. This breakthrough approach enables traders to anticipate trend strength changes based on historical momentum. By applying linear regression to the ADX, the indicator plots a projected trendline n periods ahead — helping users make more accurate and timely trading decisions. ⯁ Highly Customizable The indicator adapts seamlessly to any trading style. It offers a total of 26 long entry conditions and 26 short entry conditions, making it one of the most configurable ADX tools on TradingView. Each condition is fully adjustable, enabling the creation of statistical, quantitative, and automated strategies. You maintain full control over the signals to align perfectly with your system. ⯁ Innovative and Science-Based This is the first public ADX indicator to apply least-squares predictive modeling to ADX dynamics. Technically, it embeds machine learning logic into a traditional trend-strength indicator. Using linear regression as a predictive engine adds powerful statistical rigor to the ADX, turning it into an intelligent, forward-looking signal generator. ⯁ Scientific Foundation: Linear Regression Linear regression is a fundamental method in statistics and machine learning used to model the relationship between a dependent variable y and one or more independent variables x. The basic formula for simple linear regression is: y = β₀ + β₁x + ε Where: y  = predicted value (e.g., future ADX) x  = explanatory variable (e.g., bar index or time) β₀ = intercept β₁ = slope (rate of change) ε   = random error term The goal is to estimate β₀ and β₁ by minimizing the sum of squared errors. This is achieved using the least squares method, ensuring the best linear fit to historical data. Once the coefficients are calculated, the model extends the regression line forward, generating the ADX projection based on recent trends. ⯁ Least Squares Estimation To minimize the error, the regression coefficients are calculated as: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: Σ = summation x̄ and ȳ = means of x and y i ranges from 1 to n (number of data points) These formulas provide the best linear unbiased estimator under Gauss-Markov conditions — assuming constant variance and linearity. ⯁ Linear Regression in Machine Learning Linear regression is a foundational algorithm in supervised learning. Its power in producing quantitative predictions makes it essential in AI systems, predictive analytics, time-series forecasting, and automated trading. Applying it to the ADX essentially places an intelligent forecasting engine inside a classic trend tool. ⯁ Visual Interpretation Imagine an ADX time series like this: Time → ADX  → The regression line smooths these values and projects them n periods forward, creating a predictive trajectory. This forecasted ADX line can intersect with the actual ADX, offering smarter buy and sell signals. ⯁ Summary of Scientific Concepts Linear Regression: Models variable relationships with a straight line. Least Squares: Minimizes prediction errors for best fit. Time-Series Forecasting: Predicts future values using historical data. Supervised Learning: Trains models to predict outcomes from inputs. Statistical Smoothing: Reduces noise and highlights underlying trends. ⯁ Why This Indicator Is Revolutionary Scientifically grounded: Based on rigorous statistical theory. Unprecedented: First public ADX using least-squares forecast modeling. Smart: Uses machine learning logic. Forward-Looking: Generates predictive, not just reactive, signals. Customizable: Flexible for any strategy or timeframe. ⯁ Conclusion By merging ADX and linear regression, this indicator enables traders to predict market momentum rather than merely follow it. ADX Forecast Colorful is not just another indicator — it’s a scientific leap forward in technical analysis. With 26 fully configurable entry conditions and smart forecasting, this open-source tool is built for creating cutting-edge quantitative strategies. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What is the ADX? The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down. The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength. ⯁ How to use the ADX? The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones: Strong Trend: When the ADX is above 25, indicating a strong trend. Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend. Neutral Zone: Between 20 and 25, where the trend strength is unclear. ⯁ Entry Conditions Each condition below is fully configurable and can be combined to build precise trading logic. 📈 BUY 🅰️  Signal Validity: The signal will remain valid for X bars . 🅰️  Signal Sequence: Configurable as AND or OR . 🅰️ +DI > -DI 🅰️ +DI < -DI 🅰️ +DI > ADX 🅰️ +DI < ADX 🅰️ -DI > ADX 🅰️ -DI < ADX 🅰️ ADX > Threshold 🅰️ ADX < Threshold 🅰️ +DI > Threshold 🅰️ +DI < Threshold 🅰️ -DI > Threshold 🅰️ -DI < Threshold 🅰️ +DI (Crossover) -DI 🅰️ +DI (Crossunder) -DI 🅰️ +DI (Crossover) ADX 🅰️ +DI (Crossunder) ADX 🅰️ +DI (Crossover) Threshold 🅰️ +DI (Crossunder) Threshold 🅰️ -DI (Crossover) ADX 🅰️ -DI (Crossunder) ADX 🅰️ -DI (Crossover) Threshold 🅰️ -DI (Crossunder) Threshold 🔮 +DI (Crossover) -DI Forecast 🔮 +DI (Crossunder) -DI Forecast 🔮 ADX (Crossover) +DI Forecast 🔮 ADX (Crossunder) +DI Forecast 📉 SELL 🅰️  Signal Validity: The signal will remain valid for X bars . 🅰️  Signal Sequence: Configurable as AND or OR . 🅰️ +DI > -DI 🅰️ +DI < -DI 🅰️ +DI > ADX 🅰️ +DI < ADX 🅰️ -DI > ADX 🅰️ -DI < ADX 🅰️ ADX > Threshold 🅰️ ADX < Threshold 🅰️ +DI > Threshold 🅰️ +DI < Threshold 🅰️ -DI > Threshold 🅰️ -DI < Threshold 🅰️ +DI (Crossover) -DI 🅰️ +DI (Crossunder) -DI 🅰️ +DI (Crossover) ADX 🅰️ +DI (Crossunder) ADX 🅰️ +DI (Crossover) Threshold 🅰️ +DI (Crossunder) Threshold 🅰️ -DI (Crossover) ADX 🅰️ -DI (Crossunder) ADX 🅰️ -DI (Crossover) Threshold 🅰️ -DI (Crossunder) Threshold 🔮 +DI (Crossover) -DI Forecast 🔮 +DI (Crossunder) -DI Forecast 🔮 ADX (Crossover) +DI Forecast 🔮 ADX (Crossunder) +DI Forecast 🤖 Automation All BUY and SELL conditions are compatible with TradingView alerts, making them ideal for fully or semi-automated systems. ⯁ Unique Features Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill" Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill"
Indicateur Pine Script®
par DiFlip
CDVI – First Crypto Dominance Volatility Index by Armi GoldmanThe Crypto Dominance Volatility Index (CDVI) is the first volatility-based indicator designed specifically to analyze the stability and instability of dominance flows in the crypto market. Instead of measuring price volatility, CDVI focuses on the volatility of market dominance itself — a structural driver behind capital rotation cycles such as Bitcoin Season, Altseason, accumulation zones, and macro cycle transitions. CDVI transforms dominance changes into a clear volatility index that highlights compression, expansion, and regime shifts. How it works CDVI calculates the absolute or percentage-based realized volatility of your chosen dominance benchmark (BTC.D, TOTAL.D, or any dominance index available on TradingView). The indicator then: 1. Smooths the volatility curve using adjustable parameters 2. Builds a long-term mean to identify regime structure 3. Computes percentile zones over a rolling lookback window 4. Highlights high-risk and low-risk dominance conditions using color-coded backgrounds This creates a clean, noise-reduced volatility representation of the dominance market. Why it looks like this The CDVI curve is intentionally smooth and cyclical because dominance volatility behaves differently from price volatility: • Dominance tends to trend slowly, then spike violently during rotation phases • Periods of prolonged compression often occur before large macro moves • Volatility bursts cluster during transitions (e.g. BTC → Alts, cycle tops, market-wide repricing) The percentile zones (90% / 10%) give structural thresholds for extreme conditions. Background color reveals when dominance volatility enters these extremes, creating visually clear “regime blocks.” How to interpret CDVI High CDVI (above the 90th percentile): • Dominance instability • Capital rotation phases are active • Market is repricing sector allocations • Often appears near Altseason tops or bottoms • Signals caution for trend traders and opportunity for rotation traders Low CDVI (below the 10th percentile): • Compression and calm dominance • Accumulation and structural balance • Often precedes major expansions in Bitcoin or Alt markets • Useful for anticipating cycle transitions before they break out Long-term mean: • Helps identify when the market is in a high-vol or low-vol regime • Crossings around the mean often coincide with early cycle shifts How to use CDVI in practice 1. Cycle Timing Use CDVI to detect when the market moves from calm → expansion or expansion → exhaustion. Low CDVI usually precedes major moves. High CDVI often marks transition turbulence. 2. BTC vs Altcoins Rotation Combine CDVI with BTC.D / TOTAL2 / TOTAL3 to detect rotation windows. High CDVI = dominance is unstable → rotations happen. Low CDVI = dominance is stable → trending environment. 3. Risk Management High CDVI suggests elevated structural risk (dominance shifting). Low CDVI supports directional conviction. 4. Confluence with Price When both price volatility and dominance volatility expand together → macro transition. When price is volatile but CDVI is flat → noise, not structural change. Who this indicator is for • Cycle analysts • Macro crypto traders • BTC vs Alts rotation traders • Portfolio allocators • Long-term investors looking at structural market phases CDVI is designed as a clean, structural tool for understanding volatility not of price — but of market power distribution.
Indicateur Pine Script®
par armigoldman
Dumb Money Flow - Retail Panic & FOMO# Dumb Money Flow (DMF) - Retail Panic & FOMO ## 🌊 Overview **Dumb Money Flow (DMF)** is a powerful **contrarian indicator** designed to track the emotional state of the retail "herd." It identifies moments of extreme **Panic** (irrational selling) and **FOMO** (irrational buying) by analyzing on-chain data, volume anomalies, and price velocity. In crypto markets, retail traders often buy the top (FOMO) and sell the bottom (Panic). This indicator helps you do the opposite: **Buy when the herd is fearful, and Sell when the herd is greedy.** --- ## 🧠 How It Works The indicator combines multiple data points into a single **Sentiment Index** (0-100), normalized over a 90-day period to ensure it always uses the full range of the chart. ### 1. Panic Index (Bearish Sentiment) Tracks signs of capitulation and fear. High values contribute to the **Panic Zone**. * **Exchange Inflows:** Spikes in funds moving to exchanges (preparing to sell). * **Volume Spikes:** High volume during price drops (panic selling). * **Price Crash (ROC):** Rapid, emotional price drops over 3 days. * **Volatility (ATR):** High market nervousness and instability. ### 2. FOMO Index (Bullish Sentiment) Tracks signs of euphoria and greed. High values contribute to the **FOMO Zone**. * **Exchange Outflows:** Funds moving to cold storage (HODLing/Greed). * **Profitable Addresses:** When >90% of holders are in profit, tops often form. * **Parabolic Rise:** Rapid, unsustainable price increases. --- ## 🎨 Visual Guide The indicator uses a distinct color scheme to highlight extremes: * **🟢 Dark Green Zone (> 80): Extreme FOMO** * **Meaning:** The crowd is euphoric. Risk of a correction is high. * **Action:** Consider taking profits or looking for short entries. * **🔴 Dark Burgundy Zone (< 20): Extreme Panic** * **Meaning:** The crowd is capitulating. Prices may be oversold. * **Action:** Look for buying opportunities (catching the knife with confirmation). * **🔵 Light Blue Line:** * The smoothed moving average of the sentiment, helpful for seeing the trend direction. --- ## 🛠️ How to Use (Trading Strategies) ### 1. Contrarian Reversals (The Primary Strategy) * **Buy Signal:** Wait for the line to drop deep into the **Burgundy Panic Zone (< 20)** and then start curling up. This indicates that the worst of the selling pressure is over. * **Sell Signal:** Wait for the line to spike into the **Green FOMO Zone (> 80)** and then start curling down. This suggests buying exhaustion. ### 2. Divergences * **Bullish Divergence:** Price makes a **Lower Low**, but the DMF Indicator makes a **Higher Low** (less panic on the second drop). This is a strong reversal signal. * **Bearish Divergence:** Price makes a **Higher High**, but the DMF Indicator makes a **Lower High** (less FOMO/buying power on the second peak). ### 3. Trend Confirmation (Midline Cross) * **Crossing 50 Up:** Sentiment is shifting from Fear to Greed (Bullish). * **Crossing 50 Down:** Sentiment is shifting from Greed to Fear (Bearish). --- ## ⚙️ Settings * **Data Source:** Defaults to `INTOTHEBLOCK` for on-chain data. * **Crypto Asset:** Auto-detects BTC/ETH, but can be forced. * **Normalization Period:** Default 90 days. Determines the "window" for defining what is considered "Extreme" relative to recent history. * **Weights:** You can customize how much each factor (Volume, Inflows, Price) contributes to the index. --- **Disclaimer:** This indicator is for educational purposes only. "Dumb Money" analysis is a probability tool, not a crystal ball. Always manage your risk. **Indicator by:** @iCD_creator **Version:** 1.0 **Pine Script™ Version:** 6 --- ## Updates & Support For questions, suggestions, or bug reports, please comment below or message the author. **Like this indicator? Leave a 👍 and share your feedback!**
Indicateur Pine Script®
par iCD_creator
Smart Money Flow - Exchange & TVL Composite# Smart Money Flow - Exchange & TVL Composite Indicator ## Overview The **Smart Money Flow (SMF)** indicator combines two powerful on-chain metrics - **Exchange Flows** and **Total Value Locked (TVL)** - to create a composite index that tracks institutional and "smart money" movement in the cryptocurrency market. This indicator helps traders identify accumulation and distribution phases by analyzing where capital is flowing. ## What It Does This indicator normalizes and combines: - **Exchange Net Flow** (from IntoTheBlock): Tracks Bitcoin/Ethereum movement to and from exchanges - **Total Value Locked** (from DefiLlama): Measures capital locked in DeFi protocols The composite index is displayed on a 0-100 scale with clear zones for overbought/oversold conditions. ## Core Concept ### Exchange Flows - **Negative Flow (Outflows)** = Bullish Signal - Coins moving OFF exchanges → Long-term holding/accumulation - Indicates reduced selling pressure - **Positive Flow (Inflows)** = Bearish Signal - Coins moving TO exchanges → Preparation for selling - Indicates potential distribution phase ### Total Value Locked (TVL) - **Rising TVL** = Bullish Signal - Capital flowing into DeFi protocols - Increased ecosystem confidence - **Falling TVL** = Bearish Signal - Capital exiting DeFi protocols - Decreased ecosystem confidence ### Combined Signals **🟢 Strong Bullish (70-100):** - Exchange outflows + Rising TVL - Smart money accumulating and deploying capital **🔴 Strong Bearish (0-30):** - Exchange inflows + Falling TVL - Smart money preparing to sell and exiting positions **⚪ Neutral (40-60):** - Mixed or balanced flows ## Key Features ### ✅ Auto-Detection - Automatically detects chart symbol (BTC/ETH) - Uses appropriate exchange flow data for each asset ### ✅ Weighted Composite - Customizable weights for Exchange Flow and TVL components - Default: 50/50 balance ### ✅ Normalized Scale - 0-100 index scale - Configurable lookback period for normalization (default: 90 days) ### ✅ Signal Zones - **Overbought**: 70+ (Strong bullish pressure) - **Oversold**: 30- (Strong bearish pressure) - **Extreme**: 85+ / 15- (Very strong signals) ### ✅ Clean Interface - Minimal visual clutter by default - Only main index line and MA visible - Optional elements can be enabled: - Background color zones - Divergence signals - Trend change markers - Info table with detailed metrics ### ✅ Divergence Detection - Identifies when price diverges from smart money flows - Potential reversal warning signals ### ✅ Alerts - Extreme overbought/oversold conditions - Trend changes (crossing 50 line) - Bullish/bearish divergences ## How to Use ### 1. Trend Confirmation - Index above 50 = Bullish trend - Index below 50 = Bearish trend - Use with price action for confirmation ### 2. Reversal Signals - **Extreme readings** (>85 or <15) suggest potential reversal - Look for divergences between price and indicator ### 3. Accumulation/Distribution - **70+**: Accumulation phase - smart money buying/holding - **30-**: Distribution phase - smart money selling ### 4. DeFi Health - Monitor TVL component for DeFi ecosystem strength - Combine with exchange flows for complete picture ## Settings ### Data Sources - **Exchange Flow**: IntoTheBlock real-time data - **TVL**: DefiLlama aggregated DeFi TVL - **Manual Mode**: For testing or custom data ### Indicator Settings - **Smoothing Period (MA)**: Default 14 periods - **Normalization Lookback**: Default 90 days - **Exchange Flow Weight**: Adjustable 0-100% - **Overbought/Oversold Levels**: Customizable thresholds ### Visual Options - Show/Hide Moving Average - Show/Hide Zone Lines - Show/Hide Background Colors - Show/Hide Divergence Signals - Show/Hide Trend Markers - Show/Hide Info Table ## Data Requirements ⚠️ **Important Notes:** - Uses **daily data** from IntoTheBlock and DefiLlama - Works on any chart timeframe (data updates daily) - Auto-switches between BTC and ETH based on chart - All other crypto charts default to BTC exchange flow data ## Best Practices 1. **Use on Daily+ Timeframes** - On-chain data is daily, most effective on D/W/M charts 2. **Combine with Price Action** - Use as confirmation, not standalone signals 3. **Watch for Divergences** - Price making new highs while indicator falling = warning 4. **Monitor Extreme Zones** - Sustained readings >85 or <15 indicate strong conviction 5. **Context Matters** - Consider broader market conditions and fundamentals ## Calculation 1. **Exchange Net Flow** = Inflows - Outflows (inverted for index) 2. **TVL Rate of Change** = % change over smoothing period 3. **Normalize** both metrics to 0-100 scale 4. **Composite Index** = (ExchangeFlow × Weight) + (TVL × Weight) 5. **Smooth** with moving average ## Disclaimer This indicator uses on-chain data for analysis. While valuable, it should not be used as the sole basis for trading decisions. Always combine with other technical analysis tools, fundamental analysis, and proper risk management. On-chain data reflects blockchain activity but may lag price action. Use this indicator as part of a comprehensive trading strategy. --- ## Credits **Data Sources:** - IntoTheBlock: Exchange flow metrics - DefiLlama: Total Value Locked data **Indicator by:** @iCD_creator **Version:** 1.0 **Pine Script™ Version:** 6 --- ## Updates & Support For questions, suggestions, or bug reports, please comment below or message the author. **Like this indicator? Leave a 👍 and share your feedback!**
Indicateur Pine Script®
par iCD_creator
STRATEGY 1 │ Red Dragon │ Model 1 │ Pro │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making. Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient. Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior. In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView. The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach. Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth. This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution. 🔶 MAIN FEATURES • Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system. • Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align. • Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences. • Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system. • Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics. • No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values. 🔷 ENTRY CONDITIONS & RISK MANAGEMENT Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example: • Volume: • The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation. • RSI: • Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below. • ADX: • Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts). • Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.) Each one must confirm the expected direction before a final signal is allowed. When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short. In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control: Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position. ⚙️ INDICATORS __________________________________________________________   1) 🔊 Volume: Avoids trading on flat charts.   2) 🍟 MACD: Tracks momentum through moving averages.   3) 🧲 RSI: Indicates overbought or oversold conditions.   4) 🅰️ ADX: Measures trend strength and potential entry points.   5) 🥊 SAR: Identifies changes in price direction.   6) ☁️ Cloud: Accurately detects changes in market trends.   7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.   8) 📐 S/R: Fixed support and resistance levels.   9)╭╯MA: Moving Averages. 10) 🔮 LR: Forecasting using Linear Regression. __________________________________________________________ 🟢 ENTRY CONDITIONS 🔴 __________________________________________________________ IF all conditions are 🟢 = 📈 Long IF all conditions are 🔴 = 📉 Short __________________________________________________________ 🚨 CURRENT TRIGGER SIGNAL 🚨 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) and (close) > (open) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open) 🍟 MACD 🟢 LONG  = (MACD) > (Signal Smoothing) 🔴 SHORT = (MACD) < (Signal Smoothing) 🧲 RSI 🟢 LONG  = (RSI) < (Upper) 🔴 SHORT = (RSI) > (Lower) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🅰️ ADX 🟢 LONG  = (+DI) > (-DI) and (ADX) > (Treshold) 🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold) 🥊 SAR 🟢 LONG  = (close) > (SAR) 🔴 SHORT = (close) < (SAR) ☁️ Cloud 🟢 LONG  = (Cloud A) > (Cloud B) 🔴 SHORT = (Cloud A) < (Cloud B) ☁️ Cloud 🟢 LONG  = (Kama) > (Kama ) 🔴 SHORT = (Kama) < (Kama ) 🌡️ R/F 🟢 LONG  = (high) > (UP Range)      and (upward)     > (0) 🔴 SHORT = (low) < (DOWN Range) and (downward) > (0) 🌡️ R/F 🟢 LONG  = (high) > (UP Range) 🔴 SHORT = (low) < (DOWN Range) 📐 S/R 🟢 LONG  = (close) > (Resistance) 🔴 SHORT = (close) < (Support) ╭╯MA2️⃣ 🟢 LONG  = (Cyan Bar MA2️⃣) 🔴 SHORT = (Red Bar MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (close) > (MA2️⃣) 🔴 SHORT = (close) < (MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (Positive MA2️⃣) 🔴 SHORT = (Negative MA2️⃣) __________________________________________________________ 🎯 TP / SL 🛑 __________________________________________________________ 🎯 TP: 1.5 ％ 🛑 SL:  2.0 ％ __________________________________________________________ 🪄 UNIQUE FEATURES OF THIS STRATEGY ____________________________________ 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. _____________________________ 𝄜  BACKTEST / PERFORMANCE 𝄜 _____________________________ • Net Profit: +634.47%, Maximum Drawdown: -18.44%. 🪙 PAIR / TIMEFRAME ⏳ 🪙 PAIR: BINANCE:BTCUSDT.P ⏳ TIME: 4 hours (240m) ✅ ON ☑️ OFF ✅ LONG ✅ SHORT 🎯 TP / SL 🛑 🎯 TP: 1.5 (％) 🛑 SL:  2.0 (％) ⚙️ CAPITAL MANAGEMENT 💸 Initial Capital: 10000 $ (TradingView) 💲 Order Size:      10 ％     (Of Equity) 🚀 Leverage:        10 x       (Exchange) 💩 Commission:    0.03 ％  (Exchange) 📆 BACKTEST 🗓️ Start: Setember 24, 2019 🗓️ End:   November 21, 2025 🗓️ Days:  2250 🗓️ Yers:   6.17 🗓️ Bars:  13502 📊 PERFORMANCE 💲 Net Profit:                 + 63446.89 $ 🟢 Net Profit:                 + 634.47 ％ 💲 DrawDown Maximum: - 10727.48 $ 🔴 DrawDown Maximum: - 18.44 ％ 🟢 Total Closed Trades:     1042 🟡 Percent Profitable:       63.92 ％ 🟡 Profit Factor:               1.247 💲 Avg Trade:                 + 60.89 $ ⏱️ Avg # Bars in Trades 🕯️ Avg # Bars: 4 ⏳ Avg # Hrs:  15 ✔️ Trades Winning: 666 ❌ Trades Losing:    376 ✔️ Maximum Consecutive Wins:   11 ❌ Maximum Consecutive Losses: 7 📺 Live Performance : br.tradingview.com • Use this strategy on the recommended pair and timeframe above to replicate the tested results. • Feel free to experiment and explore other settings, assets, and timeframes.
Stratégie Pine Script®
par Titans_Invest
BTC Future CME Cross-Market DetectorProject Spec: BTC CME Cross-Market Detector 1. Project Overview Indicator Name CME Cross-Market Detector Objective To identify high-probability trade setups by detecting and confirming "smart money" activity across two distinct market venues simultaneously: a primary crypto exchange (e.g., Bybit, Binance) and the institutional CME futures market. Core Philosophy Price movements are often preceded by the positioning of large, institutional players ("smart money"). While their activity can be seen on any single exchange, the signal becomes exceptionally reliable when the same footprint appears at the same time in both the broader crypto derivatives market and the highly regulated institutional futures market. This dual-market confirmation acts as a powerful noise filter, isolating signals that have a higher probability of follow-through. 2. Key Concepts & Signal Logic The indicator's entire foundation rests on confirming that specific conditions are met on two datasets at the same time: (1) The user's current chart (e.g., BYBIT:BTCUSDT) and (2) The CME Bitcoin Futures chart (CME:BTC1!). Smart Volume Analysis To gauge buying vs. selling pressure, the total volume of a single candle is algorithmically split. This is not a perfect science but an effective estimation based on the candle's structure. Buying Pressure is considered proportional to the distance the price closed from the low. Buying Pressure ≈ Total Volume × ((Close - Low) / (High - Low)) Selling Pressure is considered proportional to the distance the price closed from the high. Selling Pressure ≈ Total Volume × ((High - Close) / (High - Low)) Signal Trigger Conditions For a potential signal to be identified on each market independently, two conditions must be met: Volume Spike: The volume of the current candle must be significantly higher than the recent average volume (e.g., >150% of the 20-period moving average). This shows a sudden, high level of interest. Pressure Imbalance: The estimated buying pressure must overwhelm the selling pressure by a certain factor (e.g., 3x), or vice versa for a sell signal. This indicates a clear directional intent. The Final Confirmed Signal A signal is only considered valid and plotted on the chart when the Signal Trigger Conditions (both Volume Spike and Pressure Imbalance) are met on both the primary chart and the CME chart on the very same candle. 3. Signal Strength Calculation The percentage shown on the chart is a Signal Strength Score (0-100%), which rates the quality and conviction of the confirmed signal. The score is calculated as follows: Base Score Calculation (0-100 points): A base score is calculated for each market (primary and CME) by combining two factors: Volume Component (0-50 pts): Measures the intensity of the volume spike. A 300% volume spike will score higher than a 150% spike. Imbalance Component (0-50 pts): Measures the intensity of the buy/sell pressure ratio. A 5x imbalance will score higher than a 3x imbalance. Advanced Modifiers (Bonus Points): The base score is then enhanced with bonus points for favorable conditions: Trend Alignment (+10 pts): A buy signal that occurs during a clear uptrend receives extra points. Candle Structure (+10 pts): A buy signal on a candle with a long lower wick (indicating rejection of lower prices) receives extra points. Final Averaged Score: The final percentage you see is the average of the two individual strength scores calculated for the primary exchange and the CME market. 4. Visualization Energy Waves: Signals are displayed as circles. Green for Buy Signals (below the candle) and Red for Sell Signals (above the candle). Dynamic Sizing: The size of the circle directly reflects the Signal Strength Score, categorized into four distinct levels (e.g., 10%+, 40%+, 60%+, and 80%+) for at-a-glance interpretation. Percentage Labels: Each signal is plotted with its precise, final strength score for clear analysis. 5. Summary: Steps to Replicate the Logic To recreate this indicator, follow these high-level steps for each candle on the chart: Gather Data: Fetch the Open, High, Low, Close, and Volume data for the primary chart asset AND for the corresponding CME Bitcoin Futures symbol (CME:BTC1!). Calculate Buy/Sell Pressure: For both datasets, use the "Smart Volume Analysis" formula to estimate the buying and selling pressure for the current candle. Check for Volume Spikes: For both datasets, calculate a simple moving average of the volume. Check if the current candle's volume exceeds this average by a set threshold (e.g., 150%). Check for Pressure Imbalance: For both datasets, check if the buying pressure is greater than the selling pressure by a set multiplier (e.g., 3.0), or vice versa. Confirm the Signal: A final signal is only valid if the conditions from both Step 3 and Step 4 are true for both datasets on the same candle. Calculate Strength: If a signal is confirmed, compute a strength score (0-100) for each dataset based on the intensity of the volume spike and pressure imbalance. Add bonus points for confluence factors like trend alignment. Finalize and Plot: Average the two strength scores from each market. Plot a colored, sized circle on the chart that visually represents this final averaged score, and display the score as a text label. Last but not least, the idea of the indicator is inspired by 52SIGNAL
Indicateur Pine Script®
par xyd945
BTC ETF Flow Monitor🚀 Bitcoin ETF Flow Monitor - Track Institutional Money Flows Monitor real-time dollar flows across major Bitcoin ETFs with this professional-grade indicator inspired by Dune Analytics. Perfect for tracking institutional sentiment and Bitcoin adoption trends. 📊 Key Features: • Real Dollar Flows : Display actual estimated flows in millions USD, not abstract indices • 5 Major ETFs : IBIT (BlackRock), FBTC (Fidelity), ARKB (ARK), BITB (Bitwise), GBTC (Grayscale) • Dune Analytics Style : Clean, professional visualization with meaningful thresholds • Smart Alerts : Get notified of significant flow changes and BTC price divergences • Enhanced Summary Table : Live stats including total flows, trends, and market sentiment 💡 How It Works: Combines volume, price action, and momentum to estimate institutional dollar flows. Positive values = inflows (buying pressure), negative values = outflows (selling pressure). Scale shows millions of USD for easy interpretation. 🎯 Perfect For: - Tracking institutional Bitcoin adoption - Identifying accumulation/distribution phases - Spotting divergences between ETF flows and BTC price - Understanding market sentiment shifts ⚡ Professional Grade: Built with advanced Pine Script techniques, optimized performance, and real-world trading applications in mind.
Indicateur Pine Script®
par xyd945