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Crypto-monnaie

SuperTrend AI Adaptive - Strategy [BTC]+2,091% returns. 1.94 profit factor. 28% max drawdown. Buy and hold returned ~785% over the same period with 75%+ drawdowns. This strategy returned 2,091% with less than a third of the drawdown. Consistent upward equity curve through bull markets, bear markets, and sideways chop. This is the strategy version of SuperTrend AI . Same regime-adaptive engine, same AI scoring, now with full entries, exits, and risk management built in. ◈ How It Works The strategy detects market regime shifts (trending, volatile, ranging) and adapts the SuperTrend multiplier automatically. Every trend flip is scored 0-100 by a 5-factor AI engine. Only high-scoring flips become trade entries. The 5 scoring factors: Volume Surge: was there conviction behind the flip? Displacement: how far did price break through the band? Trend Alignment: does the EMA agree with the direction? Regime Quality: trending regimes score highest, ranging get penalized Band Distance: how far did price travel to reach the flip point? Low-scoring flips are skipped entirely. This is the main edge. Standard SuperTrend enters on every flip. This strategy is selective. ◈ Regime Adaptation TRENDING regime: multiplier stays at base. Normal conditions, normal entries. VOLATILE regime: multiplier widens automatically. Prevents noise-driven entries. Band turns amber on chart. RANGING regime: multiplier tightens slightly. Entries are blocked by default because SuperTrend gets chopped in ranges. The regime filter alone eliminates most of the losing trades that kill standard SuperTrend strategies. ◈ Risk Management Three stop loss modes: ATR-based (default): dynamic stop that adjusts to current volatility Percent: fixed percentage stop SuperTrend: exit only on trend flip Take profit modes: Risk:Reward ratio (default 2.5:1): TP based on SL distance Percent: fixed percentage target None: hold until stop or flip Optional trailing stop for locking in profits on extended trends. All parameters are adjustable. ◈ Why It Beats Buy and Hold Buy and hold works in hindsight. In real time, you sit through 50-75% drawdowns hoping for recovery. This strategy: Shorts during bear markets instead of bleeding. The 2022 and early 2026 bear legs were profitable, not just survivable. Stays flat during ranging markets. No entries when conditions are bad. Compounds gains from both directions. Longs in uptrends, shorts in downtrends. The equity curve tells the story. Consistent staircase up with controlled pullbacks vs the rollercoaster of buy and hold. ◈ Default Settings (optimized for BTCUSDT 4H) SuperTrend: ATR 10, Base Multiplier 3.0 Regime: Lookback 40, ADX 14, Threshold 20 AI Engine: Trend EMA 50, Volume MA 20, Min Score 65 Risk: SL Mode ATR, SL ATR Mult 6.0, TP Mode RR 2.5:1 Filters: EMA Trend Filter on, Skip Ranging on, Volume Filter on, Cooldown 5 Position: 80% of equity per trade Commission: 0.06% (Binance futures level), 2 ticks slippage ◈ Adapting to Other Assets These defaults are tuned for BTCUSDT 4H. For other assets, adjust: Other crypto (ETH, SOL) 4H: Same settings, may need Min Score 60 Forex 1H to 4H: Lower position size to 20-30%, tighten SL to 2.5-3.0 ATR, trend following works less well on forex Indices 1H: SL ATR 3.0-4.0, position size 30-50% SuperTrend strategies work best on assets that trend. Crypto on higher timeframes trends the hardest. ◈ Backtest Notes Period: Jan 2015 to Feb 2026 (10+ years, includes multiple bull and bear cycles) Initial capital: $10,000 USDT Commission: 0.06% per trade (realistic for Binance futures) Slippage: 2 ticks Position sizing: 80% of equity (compounding) No pyramiding. One position at a time. Signals are non-repainting. Entries on confirmed bar close only. Returns are compounded. The 2,091% figure reflects reinvesting profits at 80% equity per trade. Without compounding, the raw edge is captured by the profit factor (1.94) and win rate (46% at 2.5:1 RR). ◈ Key Metrics Total P&L: +2,091% Profit Factor: 1.94 Win Rate: 46.10% (71 of 154 trades) Max Drawdown: 28.16% Average trade count: roughly 15 per year ◈ Features ✓ Regime-adaptive SuperTrend with automatic multiplier adjustment ✓ AI signal scoring filters out low-quality trend flips ✓ Three SL modes (ATR, Percent, SuperTrend flip) ✓ Three TP modes (Risk:Reward, Percent, None) ✓ Optional trailing stop ✓ EMA trend filter, regime filter, volume filter ✓ Realistic commission and slippage included ✓ Dashboard showing trend, regime, position status, and signal score ✓ Non-repainting entries on confirmed bar close ✓ 100% original code ◈ Companion Indicator This strategy is built on the SuperTrend AI indicator. Use the indicator for live chart analysis and the strategy for backtesting and validation. Both available free on my profile. ◈ Disclaimer Past backtest performance does not guarantee future results. All backtests have inherent limitations including look-ahead bias in parameter selection. These settings were optimized on the full sample period. Always forward-test before risking real capital. Use proper position sizing and risk management. This is not financial advice. Happy trading.
Stratégie Pine Script®
par DefinedEdge
4
Crypto MA Crossover indicator v0.1Research I conducted has shown that using moving average crossovers to determine when going long a cryptocurrency (or otherwise going to cash) performs better than both buy-and-hold as other similar strategies (e.g., going long when price crossover over moving averages). Adaptive moving average strategy paper with full backtests This indicator shows if a given cryptocurrency is in a state where the best-performing moving averages have crossed over. It also shows the specific moving average settings for each cryptocurrency. Note: you will have to edit the script to update the coins and moving average settings manually.
Indicateur Pine Script®
par timj
Mutanabby_AI | ONEUSDT_MR1 ONEUSDT Mean-Reversion Strategy | 74.68% Win Rate | 417% Net Profit This is a long-only mean-reversion strategy designed specifically for ONEUSDT on the 1-hour timeframe. The core logic identifies oversold conditions following sharp declines and enters positions when selling pressure exhausts, capturing the subsequent recovery bounce. Backtested Period: June 2019 – December 2025 (~6 years) Performance Summary | Metric | Value | |--------|-------| | Net Profit | +417.68% | | Win Rate | 74.68% | | Profit Factor | 4.019 | | Total Trades | 237 | | Sharpe Ratio | 0.364 | | Sortino Ratio | 1.917 | | Max Drawdown | 51.08% | | Avg Win | +3.14% | | Avg Loss | -2.30% | | Buy & Hold Return | -80.44% | Strategy Logic : Entry Conditions (Long Only): The strategy seeks confluence of three conditions that identify exhausted selling: 1. Prior Move Filter:*The price change from 5 bars ago to 3 bars ago must be ≥ -7% (ensures we're not entering during freefall) 2. Current Move Filter: The price change over the last 2 bars must be ≤ 0% (confirms momentum is stalling or reversing) 3. Three-Bar Decline: The price change from 5 bars ago to 3 bars ago must be ≤ -5% (confirms a significant recent drop occurred) When all three conditions align, the strategy identifies a potential reversal point where sellers are exhausted. Exit Conditions: - Primary Exit: Close above the previous bar's high while the open of the previous bar is at or below the close from 9 bars ago (profit-taking on strength) - Trailing Stop: 11x ATR trailing stop that locks in profits as price rises Risk Management - Position Sizing:Fixed position based on account equity divided by entry price - Trailing Stop:11× ATR (14-period) provides wide enough room for crypto volatility while protecting gains - Pyramiding:Up to 4 orders allowed (can scale into winning positions) - **Commission:** 0.1% per trade (realistic exchange fees included) Important Disclaimers ⚠️ This is NOT financial advice. - Past performance does not guarantee future results - Backtest results may contain look-ahead bias or curve-fitting - Real trading involves slippage, liquidity issues, and execution delays - This strategy is optimized for ONEUSDT specifically — results may differ on other pairs - Always test before risking real capital Recommended Usage - Timeframe:*1H (as designed) - Pair: ONEUSDT (Binance) - Account Size: Ensure sufficient capital to survive max drawdown Source Code Feedback Welcome I'm sharing this strategy freely for educational purposes. Please: - Drop a comment with your backtesting results any you analysis - Share any modifications that improve performance - Let me know if you spot any issues in the logic Happy trading As a quant trader, do you think this strategy will survive in live trading? Yes or No? And why? I want to hear from you guys
Stratégie Pine Script®
par Mutanabby_AI
1
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
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
Crypto Index Price# Crypto Index Price - Indicator Description ## 📊 What is this indicator? **Crypto Index Price** is an indicator for creating your own cryptocurrency index based on an equal-weighted portfolio. It allows you to track the overall dynamics of the cryptocurrency market through a composite index of selected assets. ## 🎯 Key Features - **Up to 20 assets in the index** — create an index from any trading pairs - **Equal-weighted methodology** — each asset has the same weight in the index - **Moving average** — optional trend filter for the index - **Flexible visualization settings** — customizable colors and line thickness ## 📈 How to Use The indicator is displayed in a separate pane below the chart and shows: 1. **Blue line** — crypto index value 2. **Orange line** (optional) — moving average of the index ### Trading Applications: - **Identify overall market trend** — if the index is rising, most coins are in an uptrend - **Divergences** — divergence between your asset and the index may signal local opportunities - **Signal confirmation** — use the index to confirm trading decisions on individual coins - **Market condition filter** — trade longs when index is above MA, shorts when below ## ⚙️ Settings ### Assets (Symbols) - **Asset 1-10** — main cryptocurrencies (default: BTC, ETH, BNB, SOL, XRP, ADA, AVAX, LINK, DOGE, TRX) - **Asset 11-20** — additional slots for index expansion ### Visual Parameters - **Index line color** — main line color (default: blue) - **Line width** — from 1 to 5 pixels - **Show moving average** — enable/disable MA - **MA period** — moving average calculation period (default: 20) - **MA color** — moving average line color (default: orange) ## 💡 Recommendations - For a top coins index, use 5-10 largest cryptocurrencies by market cap - For an altcoin index, add medium and small coins from your sector - Use MA to filter false signals and identify the global trend - Compare individual asset behavior with the index to find anomalies ## ⚠️ Important The indicator uses equal-weighted methodology — each coin contributes equally regardless of price or market cap. This differs from cap-weighted indices and may provide a different market perspective. --- *This indicator is intended for analysis and is not trading advice. Always conduct your own analysis before making trading decisions.* ---
Indicateur Pine Script®
par AlekMel
Hello Crypto! Modern Combo Snapshot Unified long/short analyzer blending EMA structure, SuperTrend, WaveTrend, QQE, and volume pressure. Background shading flags “watch” and “ready” states; optional long/short modules let you focus on one side. Alerts fire when every checklist item aligns, while the side-panel table summarizes trend, momentum, liquidity, and overall score in real time. Indicator → Trend Analysis Indicator → Momentum Oscillators Indicator → Volume Indicators Tags: cryptocurrency, bitcoin, altcoins, trend-following, momentum, volume, ema, supertrend, intraday, swing-trading, alerts, checklist, trading-strategy, risk-management
Indicateur Pine Script®
par webmacho
Aggregated Open Interest Multi-Exchange (USD)This indicator aggregates Open Interest (OI) data from multiple major cryptocurrency exchanges into a single unified view in USD, using data available on TradingView. It automatically adapts to the asset you're viewing on the chart. Features: Aggregates OI from 7 major exchanges: Binance, Bybit, OKX, Bitget, Deribit, HTX, and Coinbase All values converted to USD - unlike native OI which shows contracts/coins Uses only data available on TradingView platform Automatically detects the asset from your chart (BTC, ETH, SOL, etc.) True apples-to-apples comparison across exchanges Displays as candlesticks showing OI open, high, low, and close Toggle exchanges on/off individually Handles different contract types per exchange automatically Why USD conversion matters: Traditional OI indicators show values in contracts or crypto units, making it difficult to compare across exchanges. This indicator converts everything to USD, giving you the real dollar value of open positions across all exchanges. How it works: Simply add the indicator to any crypto perpetual futures chart. It will automatically fetch and aggregate OI data from all supported exchanges for that asset using TradingView's built-in data feeds, converting everything to USD. Supported Exchanges: Binance, Bybit, Bitget, HTX: USDT perpetuals Deribit: BTC/ETH use USD contracts, others use USDC OKX: Contract-based (automatically converted) Coinbase: USDC perpetuals Perfect for traders who want a comprehensive view of total market Open Interest in USD across exchanges using reliable TradingView data.
Indicateur Pine Script®
par carlosbucci
2
Crypto OI AgregatedCrypto OI Aggregated — Open Interest Aggregator for Crypto Exchanges General Description The indicator is designed for comprehensive analysis of Open Interest (OI) across major cryptocurrency exchanges. It consolidates data from multiple platforms, visualizes it as candlestick charts or deltas, and builds tables with breakdowns by exchange and contract type. This allows traders to quickly understand where market interest is concentrated and how the market structure is shifting. Unlike standard tools that only show data from a single exchange, this indicator provides a full market overview and makes it easy to compare dynamics across different platforms. ⸻ Key Features • Aggregation of OI data from exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit (feel free to leave a comment if you’d like me to add other exchanges that provide open interest data) • Support for contract types: USDT.P, USD.P, USDC.P, USD.PM • Automatic normalization of various OI data formats from different providers • Display modes: • OI candlestick chart (total aggregated OI) • OI Delta (change in OI per bar) • Full table with detailed data by exchange and contract type • Short summary table with totals in USD and base assets • Support for USD or COIN denomination • Convenient formatting for large numbers • Customizable colors ⸻ How to Use the Indicator 1. Select Exchanges In the settings, enable or disable specific exchanges. It is recommended to activate only the ones you need for analysis — this will make the indicator faster. 2. Choose Data Type • OI — aggregated open interest from selected exchanges. • OI delta — delta (change in OI compared to the previous bar). 3. Denomination • USD — values are converted into USD equivalents. • COIN — values are shown in the base asset (BTC, ETH, etc.). 4. Reading the Chart • OI candlesticks show the overall OI dynamics. • Delta histogram highlights how much OI has grown or decreased per bar. • Colors are fully customizable. 5. Tables • Enabled via the Show table option. • Full Table → Rows = exchanges, Columns = contract types. Cells contain OI values in either USD or the base asset, depending on settings. Quickly shows where the main interest is concentrated. • Short Table → Displays only the total OI values in USD and the base asset. ⸻ Important Notes • For better readability of large values, two custom formatting functions were implemented. They work similarly to format.volume, but with improved digit grouping and adjustable decimal precision. In the tables, the top row is formatted using format.volume, while the bottom row uses the improved formatting functions for clearer representation. str(d, n, s) => str.substring(d, 0, str.length(d) - n) + '.' + str.substring(d, str.length(d) - n, str.length(d) - (n - 2)) + s format(_r) => d = str.tostring(math.round(_r)) str.length(d) > 9 ? str(d, 9, " B") : str.length(d) > 6 ? str(d, 6, " M") : str.length(d) > 3 ? str(d, 3, " K") : d ⸻ Conclusion: Crypto OI Aggregated is a convenient and powerful tool for cryptocurrency derivatives traders. It enables tracking of OI dynamics across multiple exchanges simultaneously, detecting imbalances between contracts, and identifying signals that are not visible when analyzing a single exchange.
Indicateur Pine Script®
par NoveltyTrade
4
Mutanabby_AI | ATR+ | Trend-Following StrategyThis document presents the Mutanabby_AI | ATR+ Pine Script strategy, a systematic approach designed for trend identification and risk-managed position entry in financial markets. The strategy is engineered for long-only positions and integrates volatility-adjusted components to enhance signal robustness and trade management. Strategic Design and Methodological Basis The Mutanabby_AI | ATR+ strategy is constructed upon a foundation of established technical analysis principles, with a focus on objective signal generation and realistic trade execution. Heikin Ashi for Trend Filtering: The core price data is processed via Heikin Ashi (HA) methodology to mitigate transient market noise and accentuate underlying trend direction. The script offers three distinct HA calculation modes, allowing for comparative analysis and validation: Manual Calculation: Provides a transparent and deterministic computation of HA values. ticker.heikinashi(): Utilizes TradingView's built-in function, employing confirmed historical bars to prevent repainting artifacts. Regular Candles: Allows for direct comparison with standard OHLC price action. This multi-methodological approach to trend smoothing is critical for robust signal generation.   Adaptive ATR Trailing Stop: A key component is the Average True Range (ATR)-based trailing stop. ATR serves as a dynamic measure of market volatility. The strategy incorporates user-defined parameters (   Key Value and ATR Period) to calibrate the sensitivity of this trailing stop, enabling adaptation to varying market volatility regimes. This mechanism is designed to provide a dynamic exit point, preserving capital and locking in gains as a trend progresses. EMA Crossover for Signal Generation: Entry and exit signals are derived from the interaction between the Heikin Ashi derived price source and an Exponential Moving Average (EMA). A crossover event between these two components is utilized to objectively identify shifts in momentum, signaling potential long entry or exit points.   Rigorous Stop Loss Implementation: A critical feature for risk mitigation, the strategy includes an optional stop loss. This stop loss can be configured as a percentage or fixed point deviation from the entry price. Importantly, stop loss execution is based on real market prices, not the synthetic Heikin Ashi values. This design choice ensures that risk management is grounded in actual market liquidity and price levels, providing a more accurate representation of potential drawdowns during backtesting and live operation. Backtesting Protocol: The strategy is configured for realistic backtesting, employing fill_orders_on_standard_ohlc=true to simulate order execution at standard OHLC prices. A configurable Date Filter is included to define specific historical periods for performance evaluation. Data Visualization and Metrics: The script provides on-chart visual overlays for buy/sell signals, the ATR trailing stop, and the stop loss level. An integrated information table displays real-time strategy parameters, current position status, trend direction, and key price levels, facilitating immediate quantitative assessment. Applicability The Mutanabby_AI | ATR+ strategy is particularly suited for: Cryptocurrency Markets: The inherent volatility of assets such as #Bitcoin and #Ethereum makes the ATR-based trailing stop a relevant tool for dynamic risk management.   Systematic Trend Following: Individuals employing systematic methodologies for trend capture will find the objective signal generation and rule-based execution aligned with their approach. Pine Script Developers and Quants: The transparent code structure and emphasis on realistic backtesting provide a valuable framework for further analysis, modification, and integration into broader quantitative models. Automated Trading Systems: The clear, deterministic entry and exit conditions facilitate integration into automated trading environments. Implementation and Evaluation To evaluate the Mutanabby_AI | ATR+ strategy, apply the script to your chosen chart on TradingView. Adjust the input parameters (Key Value, ATR Period, Heikin Ashi Method, Stop Loss Settings) to observe performance across various asset classes and timeframes. Comprehensive backtesting is recommended to assess the strategy's historical performance characteristics, including profitability, drawdown, and risk-adjusted returns. I'd love to hear your thoughts, feedback, and any optimizations you discover! Drop a comment below, give it a like if you find it useful, and share your results.
Stratégie Pine Script®
par Mutanabby_AI
1
MVRV Ratio [Alpha Extract]The MVRV Ratio Indicator provides valuable insights into Bitcoin market cycles by tracking the relationship between market value and realized value. This powerful on-chain metric helps traders identify potential market tops and bottoms, offering clear buy and sell signals based on historical patterns of Bitcoin valuation. 🔶 CALCULATION The indicator processes MVRV ratio data through several analytical methods: Raw MVRV Data: Collects MVRV data directly from INTOTHEBLOCK for Bitcoin Optional Smoothing: Applies simple moving average (SMA) to reduce noise Status Classification: Categorizes market conditions into four distinct states Signal Generation: Produces trading signals based on MVRV thresholds Price Estimation: Calculates estimated realized price (Current price / MVRV ratio) Historical Context: Compares current values to historical extremes Formula: MVRV Ratio = Market Value / Realized Value Smoothed MVRV = SMA(MVRV Ratio, Smoothing Length) Estimated Realized Price = Current Price / MVRV Ratio Distance to Top = ((3.5 / MVRV Ratio) - 1) * 100 Distance to Bottom = ((MVRV Ratio / 0.8) - 1) * 100 🔶 DETAILS Visual Features: MVRV Plot: Color-coded line showing current MVRV value (red for overvalued, orange for moderately overvalued, blue for fair value, teal for undervalued) Reference Levels: Horizontal lines indicating key MVRV thresholds (3.5, 2.5, 1.0, 0.8) Zone Highlighting: Background color changes to highlight extreme market conditions (red for potentially overvalued, blue for potentially undervalued) Information Table: Comprehensive dashboard showing current MVRV value, market status, trading signal, price information, and historical context Interpretation: MVRV ≥ 3.5: Potential market top, strong sell signal MVRV ≥ 2.5: Overvalued market, consider selling MVRV 1.5-2.5: Neutral market conditions MVRV 1.0-1.5: Fair value, consider buying MVRV < 1.0: Potential market bottom, strong buy signal 🔶 EXAMPLES Market Top Identification: When MVRV ratio exceeds 3.5, the indicator signals potential market tops, highlighting periods where Bitcoin may be significantly overvalued. Example: During bull market peaks, MVRV exceeding 3.5 has historically preceded major corrections, helping traders time their exits. Bottom Detection: MVRV values below 1.0, especially approaching 0.8, have historically marked excellent buying opportunities. Example: During bear market bottoms, MVRV falling below 1.0 has identified the most profitable entry points for long-term Bitcoin accumulation. Tracking Market Cycles: The indicator provides a clear visualization of Bitcoin's market cycles from undervalued to overvalued states. Example: Following the progression of MVRV from below 1.0 through fair value and eventually to overvalued territory helps traders position themselves appropriately throughout Bitcoin's market cycle. Realized Price Support: The estimated realized price often acts as a significant support/resistance level during market transitions. Example: During corrections, price often finds support near the realized price level calculated by the indicator, providing potential entry points. 🔶 SETTINGS Customization Options: Smoothing: Toggle smoothing option and adjust smoothing length (1-50) Table Display: Show/hide the information table Table Position: Choose between top right, top left, bottom right, or bottom left positions Visual Elements: All plots, lines, and background highlights can be customized for color and style The MVRV Ratio Indicator provides traders with a powerful on-chain metric to identify potential market tops and bottoms in Bitcoin. By tracking the relationship between market value and realized value, this indicator helps identify periods of overvaluation and undervaluation, offering clear buy and sell signals based on historical patterns. The comprehensive information table delivers valuable context about current market conditions, helping traders make more informed decisions about market positioning throughout Bitcoin's cyclical patterns.
Indicateur Pine Script®
par AlphaExtract
1
PORTFOLIO TABLE Simple [Titans_Invest]PORTFOLIO TABLE Simple This is a simple table for you to monitor your assets or cryptocurrencies in your SPOT wallet without needing to access your broker’s website or wallet app. ⯁ HOW TO USE THIS TABLE❓ You only need to select the asset and enter the amount of each one. The table will show how much you have of each asset and the total value of your portfolio. You’ll be able to monitor up to 39 assets in real time. ⯁ CONVERT VALUES You can also activate and select a currency for conversion. For example, cryptocurrency assets are calculated in US dollars, but you can select euros as the conversion currency. The values originally in dollars will then be displayed in euros. ⯁ Track your Portfolio in real time: ⯁ Add your local Currency to Convert Values: ⯁ Follow your Portfolio Live: ___________________________________________________________ 📜 SCRIPT : PORTFOLIO TABLE Simple 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ___________________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Indicateur Pine Script®
par Titans_Invest
Aggregated Open Interest [Alpha Extract]The Aggregated Open Interest indicator provides a comprehensive view of open interest across multiple cryptocurrency exchanges, allowing traders to monitor institutional positioning and market sentiment. By aggregating data from major exchanges like Binance, BitMEX, and Kraken, this indicator offers valuable insights into potential price movements and market shifts. 🔶 CALCULATION The indicator processes open interest data through multiple analytical methods: Exchange Aggregation: Collects and normalizes open interest data from multiple exchanges (Binance, BitMEX, Kraken) with proper currency normalization. Multi-Mode Analysis: Calculates various metrics including raw open interest values, OI change, OI delta, volume-weighted delta, and OI RSI. Divergence Detection: Uses pivot point analysis to identify divergences between price action and open interest movements. Activity Assessment: Tracks bullish and bearish activity patterns by correlating open interest changes with price movements. Formula: Aggregate OI = Sum of normalized open interest from selected exchanges OI Change = Current OI - Previous OI OI Delta = Net change in open interest across timeframes OI Delta × Volume = OI Delta weighted by relative volume OI RSI = Relative Strength Index applied to open interest values OI Heatmap = Multi-timeframe visualization of OI changes across 7 distinct periods 🔶 DETAILS Visual Features: Open Interest: Candlestick representation of aggregated open interest OI Change: Histogram showing period-to-period changes OI Delta: Histogram displaying net OI movements OI Delta × Volume: Volume-weighted OI delta for enhanced signals OI RSI: Oscillator showing overbought/oversold OI conditions OI Heatmap: Multi-timeframe visualization showing OI changes across 7 periods (3, 5, 8, 13, 21, 34, and 55 days) Divergence Detection: Color-coded markers (teal for bullish, red for bearish) highlighting significant divergences between price and open interest Analysis Table: Real-time summary of key metrics including aggregate OI, recent changes, and bullish/bearish activity. Interpretation: Increasing Open Interest + Rising Price: Strong bullish trend confirmation Increasing Open Interest + Falling Price: Strong bearish trend confirmation Decreasing Open Interest + Rising Price: Weak bullish trend (potential reversal) Decreasing Open Interest + Falling Price: Weak bearish trend (potential reversal) Divergences: Signal potential trend exhaustion and reversals when price moves in one direction while open interest moves in the opposite direction Heatmap: Provides at-a-glance insight into open interest trends across multiple timeframes, with green bars indicating rising OI and red bars indicating falling OI 🔶 EXAMPLES Trend Confirmation: Rising open interest accompanying a price increase confirms strong bullish momentum with institutional backing. Example: During January-February 2025, rising OI during price advances confirms institutional participation in the uptrend. Bearish Divergence: Price makes a higher high while open interest makes a lower high, signaling potential trend reversal. Example: Red markers appear at market tops where price continues higher but open interest fails to confirm, preceding significant corrections. Bullish Divergence : Price makes a lower low while open interest makes a higher low, indicating potential bottoming. Example: Teal markers appear at market bottoms where price continues lower but open interest fails to confirm, preceding significant rallies. OI Heatmap Analysis : Multiple timeframes showing consistent red signals across short to long-term periods indicate strong institutional selling pressure. Example: When all 7 periods (3-55 days) show red during a price uptrend, this signals institutional selling into retail strength, often preceding major corrections. 🔶 SETTINGS Customization Options: Data Sources: Toggle different exchanges (Binance USDT/USD/BUSD, BitMEX USD/USDT, Kraken USD) Display Mode: Choose between Open Interest, OI Change, OI Delta, OI Delta × Volume, OI RSI, and OI Heatmap Currency Units: Display in USD or base cryptocurrency (COIN) Analysis Tools: Moving Average (length and color), RSI (length and color) Divergence Detection: Enable/disable signals, adjust lookback period and threshold percentage, customize bullish/bearish divergence colors OI Heatmap Colors: Customize bullish (green) and bearish (red) signal colors for the multi-timeframe heatmap visualization The Aggregated Open Interest indicator provides traders with comprehensive insights into institutional positioning across major exchanges, helping identify potential trend continuations, reversals, and key market turning points driven by smart money movements. The addition of the OI Heatmap feature enables traders to quickly visualize open interest trends across multiple timeframes, providing valuable context for institutional positioning over different market cycles.
Indicateur Pine Script®
par AlphaExtract
2
Stablecoin Supply Ratio [Alpha Extract]Stablecoin Supply Ratio Indicator The Stablecoin Supply Ratio (SSR) indicator compares Bitcoin's market capitalization to the aggregate supply of major stablecoins, offering insights into relative purchasing power and liquidity. This tool helps traders: ✔ Assess Bitcoin's buying power relative to the available stablecoin liquidity. ✔ Detect periods of capital inflow or outflow from stablecoins. ✔ Identify market sentiment shifts based on stablecoin reserves. 🔶 CALCULATION The indicator aggregates the supply of key stablecoins and compares it to Bitcoin's market cap: Stablecoin Aggregation • Inputs: USDT, USDC, DAI, USDD (daily closing values). BUSD Market Cap (Glassnode data). • Total Stablecoin Supply: Sum of the listed stablecoins' market caps. Stablecoin Supply Ratio (SSR) • Formula: SSR = Bitcoin Market Cap / Total Stablecoin Supply • Normalized SSR: Normalized by dividing SSR by its 200-day SMA. Bollinger Bands • Bands are applied to the normalized SSR using a configurable moving average type and 2 standard deviations. Example Calculation: ssr = btcmc / stablecoin_liq ratio = ssr / ta.sma(ssr, 200) basis = ta.sma(ratio, 200) dev = 2 * ta.stdev(ratio, 200) upper = basis + dev lower = basis - dev 🔶 DETAILS Visual Features: • Normalized SSR: Plotted as a light green line. • Upper Band: Red line indicating SSR overbought zone. • Lower Band: Green line signaling SSR oversold zone. Interpretation: • High SSR: Indicates stablecoin reserves are low relative to Bitcoin's market cap, reducing stablecoin buying power. • Low SSR: Suggests high stablecoin liquidity relative to Bitcoin's market cap, increasing potential buying pressure. • Band Crosses: Movements beyond the upper or lower bands may signal sentiment extremes. 🔶 EXAMPLES Market insights include: • Capital Outflows: SSR rising into the upper band may reflect decreasing stablecoin reserves, potentially signaling a liquidity drain. • Capital Inflows: SSR dropping near the lower band could indicate growing stablecoin reserves, potentially fueling Bitcoin demand. 🔶 SETTINGS Customization Options: • MA Type: Choose between SMA, EMA, WMA, SMMA, and VWMA for band calculation. • Period: Adjust the 200-day smoothing period. • Deviation Multiplier: Modify the standard deviation multiplier (default: 2). The Stablecoin Supply Ratio indicator is a valuable tool for traders monitoring liquidity dynamics and stablecoin trends to anticipate Bitcoin market moves and capital flows.
Indicateur Pine Script®
par AlphaExtract
4-Year Cycles [jpkxyz]Overview of the Script I wanted to write a script that encompasses the wide-spread macro fund manager investment thesis: "Crypto is simply and expression of macro." A thesis pioneered by the likes of Raoul Pal (EXPAAM) , Andreesen Horowitz (A16Z) , Joe McCann (ASYMETRIC) , Bob Loukas and many more. Cycle Theory Background: The 2007-2008 financial crisis transformed central bank monetary policy by introducing: - Quantitative Easing (QE): Creating money to buy assets and inject liquidity - Coordinated global monetary interventions Proactive 4-year economic cycles characterised by: - Expansionary periods (low rates, money creation) - Followed by contraction/normalisation Central banks now deliberately manipulate liquidity, interest rates, and asset prices to control economic cycles, using monetary policy as a precision tool rather than a blunt instrument. Cycle Characteristics (based on historical cycles): - A cycle has 4 seasons (Spring, Summer, Fall, Winter) - Each season with a cycle lasts 365 days - The Cycle Low happens towards the beginning of the Spring Season of each new cycle - This is followed by a run up throughout the Spring and Summer Season - The Cycle High happens towards the end of the Fall Season - The Winter season is characterised by price corrections until establishing a new floor in the Spring of the next cycle Key Functionalities 1. Cycle Tracking - Divides market history into 4-year cycles (Spring, Summer, Fall, Winter) - Starts tracking cycles from 2011 (first cycle after the 2007 crisis cycle) - Identifies and marks cycle boundaries 2. Visualization - Colors background based on current cycle season - Draws lines connecting: - Cycle highs and lows - Inter-cycle price movements - Adds labels showing: - Percentage gains/losses between cycles - Number of days between significant points 3. Customization Options - Allows users to customize: - Colors for each season - Line and label colors - Label size - Background opacity Detailed Mechanism Cycle Identification - Uses a modulo calculation to determine the current season in the 4-year cycle - Preset boundary years include 2015, 2019, 2023, 2027 - Automatically tracks and marks cycle transitions Price Analysis - Tracks highest and lowest prices within each cycle - Calculates percentage changes: - Intra-cycle (low to high) - Inter-cycle (previous high to current high/low) Visualization Techniques - Background color changes based on current cycle season - Dashed and solid lines connect significant price points - Labels provide quantitative insights about price movements Unique Aspects 1. Predictive Cycle Framework: Provides a structured way to view market movements beyond traditional technical analysis 2. Seasonal Color Coding: Intuitive visual representation of market cycle stages 3. Comprehensive Price Tracking: Captures both intra-cycle and inter-cycle price dynamics 4. Highly Customizable: Users can adjust visual parameters to suit their preferences Potential Use Cases - Technical analysis for long-term investors - Identifying market cycle patterns - Understanding historical price movement rhythms - Educational tool for market cycle theory Limitations/Considerations - Based on a predefined 4-year cycle model (Liquidity Cycles) - Historic Cycle Structures are not an indication for future performance - May not perfectly represent all market behavior - Requires visual interpretation This script is particularly interesting for investors who believe in cyclical market theories and want a visual, data-driven representation of market stages.
Indicateur Pine Script®
par GLITCHCAPITAL
Cryptocurrency SentimentOverview This script focuses on calculating and visualizing the sentiment difference between LONG positions and SHORT positions for a selected cryptocurrency pair on the Bitfinex exchange. It provides a clean and clear visual representation of the sentiment, helping traders analyze market behavior. Key Features Dynamic Symbol Selection: The script automatically detects the cryptocurrency symbol from the chart (syminfo.basecurrency) and dynamically constructs the LONGS and SHORTS ticker symbols. Works seamlessly for pairs like BTCUSD, ETHUSD, and others available on Bitfinex. Sentiment Calculation: The sentiment difference is calculated as: Sentiment Difference=−1×(100− SHORTS/LONGS ×100) LONGS : The total number of long positions. SHORTS : The total number of short positions. If SHORTS is 0, the value is safely skipped to avoid division errors. Color Coding: The script visually highlights the sentiment difference: Green Line: Indicates that LONG positions are dominant (bullish sentiment). Red Line: Indicates that SHORT positions are dominant (bearish sentiment). Zero Reference Line: A gray horizontal line at 0 helps users quickly identify the transition between bullish (above zero) and bearish (below zero) sentiment. How It Works Fetching Data: The script uses request.security to fetch LONGS and SHORTS data at the current chart timeframe (timeframe.period) for the dynamically generated Bitfinex tickers. Handling Data: Missing or invalid data (NaN) is filtered out to prevent errors. Extreme spikes or irregular values are safely avoided. Visualization: The sentiment difference is plotted with dynamic color coding: Green when LONGS > SHORTS (bullish sentiment). Red when SHORTS > LONGS (bearish sentiment). Benefits Market Sentiment Insight: Helps traders quickly identify if the market is leaning towards bullish or bearish sentiment based on actual LONG and SHORT position data. Dynamic and Adaptive: Automatically adjusts to the selected cryptocurrency symbol on the chart. Clean Visualization: Focuses solely on sentiment difference with color-coded signals, making it easy to interpret. Best Use Cases Trend Confirmation: Use the sentiment difference to confirm trends during bullish or bearish moves. Market Reversals: Identify potential reversals when sentiment shifts from positive (green) to negative (red) or vice versa. Sentiment Monitoring: Monitor the overall market bias for cryptocurrencies like BTC, ETH, XRP, etc., in real-time. Sample Chart Output Above Zero → Green Line: Bullish sentiment dominates. Below Zero → Red Line: Bearish sentiment dominates. Zero Line → Transition point for shifts in sentiment.
Indicateur Pine Script®
par khalidovic007
Cryptocurrency StrengthMulti-Currency Analysis: Monitor up to 19 different currencies simultaneously, including major pairs like USD, EUR, JPY, and GBP, as well as emerging market currencies such as CNY, INR, and BRL. Customizable Display: Easily toggle the visibility of each currency and personalize their colors to suit your preferences, allowing for a tailored analysis experience. Real-Time Strength Measurement: The indicator calculates and displays the relative strength of each currency in real-time, helping you identify potential trends and trading opportunities. Clear Visual Representation: With color-coded lines and a dynamic legend, the indicator presents complex currency relationships in an easy-to-understand format. Advantages Comprehensive Market View: Gain insights into the broader forex market dynamics by analyzing multiple currencies at once. Trend Identification: Quickly spot strong and weak currencies, aiding in the identification of potential trending pairs. Divergence Detection: Use the indicator to identify divergences between currency strength and price action, potentially signaling reversals or continuation patterns. Flexible Time Frames: Apply the indicator across various time frames to align with your trading strategy, from intraday to long-term analysis. Enhanced Decision Making: Make more informed trading decisions by understanding the relative strength of currencies involved in your trades. Unique Qualities TSI-Based Calculations: Utilizes the True Strength Index for a more nuanced and responsive measure of currency strength compared to simple price-based indicators. Adaptive Legend: The indicator features a dynamic legend that updates automatically based on the selected currencies, ensuring a clutter-free and relevant display. Emerging Market Inclusion: Unlike many standard currency strength indicators, this tool includes a wide range of emerging market currencies, providing a truly global perspective. Whether you're a seasoned forex trader or just starting out, this Currency Strength Indicator offers valuable insights that can complement your existing strategy and potentially improve your trading outcomes. Its combination of comprehensive analysis, customization options, and clear visualization makes it an essential tool for navigating the complex world of currency trading.
Indicateur Pine Script®
par Julien_Exe
1
Multi-Timeframe RangeThe Multi-Timeframe Range Indicator is designed for traders looking to monitor key price levels across various timeframes (Daily, Weekly, Monthly, Quarterly, and Yearly) directly on their charts. This indicator draws boxes and mid-lines for each timeframe’s high, low, and midpoint, enabling users to visualize price ranges and assess potential areas of support and resistance more effectively. Features: Dynamic Range Boxes: Displays the high, low, and midpoint levels for each specified timeframe, with customizable colors for easy differentiation. Visual Cues for Monday’s Levels: Highlights Monday’s high, low, and midpoint levels each week to support intraday trading setups and weekly trend analysis. Multi-Timeframe Flexibility: Easily toggle between timeframes to view ranges from daily to yearly, making this indicator suitable for both short-term and long-term traders. Ideal Use Cases: Identify key support and resistance zones based on multiple timeframes. Assess weekly and monthly trends using the Monday range levels. Gain insights into market structure across various timeframes.
Indicateur Pine Script®
par Langzzzzzz
ETH Signal 15m This strategy uses the Supertrend indicator combined with RSI to generate buy and sell signals, with stop loss (SL) and take profit (TP) conditions based on ATR (Average True Range). Below is a detailed explanation of each part: 1. General Information BINANCE:ETHUSDT.P Strategy Name: "ETH Signal 15m" Designed for use on the 15-minute time frame for the ETH pair. Default capital allocation is 15% of total equity for each trade. 2. Backtest Period start_time and end_time: Define the start and end time of the backtest period. start_time = 2024-08-01: Start date of the backtest. end_time = 2054-01-01: End date of the backtest. The strategy will only run when the current time falls within this specified range. 3. Supertrend Indicator Supertrend is a trend-following indicator that provides buy or sell signals based on the direction of price changes. factor = 2.76: The multiplier used in the Supertrend calculation (increasing this value makes the Supertrend less sensitive to price movements). atrPeriod = 12: Number of periods used to calculate ATR. Output: direction: Determines the buy/sell direction based on Supertrend. If direction decreases, it signals a buy (Long). If direction increases, it signals a sell (Short). 4. RSI Indicator RSI (Relative Strength Index) is a momentum indicator, often used to identify overbought or oversold conditions. rsiLength = 12: Number of periods used to calculate RSI. rsiOverbought = 70: RSI level considered overbought. rsiOversold = 30: RSI level considered oversold. 5. Entry Conditions Long Entry: Supertrend gives a buy signal (ta.change(direction) < 0). RSI must be below the overbought level (rsi < rsiOverbought). Short Entry: Supertrend gives a sell signal (ta.change(direction) > 0). RSI must be above the oversold level (rsi > rsiOversold). The strategy will only execute trades if the current time is within the backtest period (in_date_range). 6. Stop Loss (SL) and Take Profit (TP) Conditions ATR (Average True Range) is used to calculate the distance for Stop Loss and Take Profit based on price volatility. atr = ta.atr(atrPeriod): ATR is calculated using 12 periods. Stop Loss and Take Profit are calculated as follows: Long Trade: Stop Loss: Set at close - 4 * atr (current price minus 4 times the ATR). Take Profit: Set at close + 2 * atr (current price plus 2 times the ATR). Short Trade: Stop Loss: Set at close + 4 * atr (current price plus 4 times the ATR). Take Profit: Set at close - 2.237 * atr (current price minus 2.237 times the ATR). Summary: This strategy enters a Long trade when the Supertrend indicates an upward trend and RSI is not in the overbought region. Conversely, a Short trade is entered when Supertrend signals a downtrend, and RSI is not oversold. The trade is exited when the price reaches the Stop Loss or Take Profit levels, which are determined based on price volatility (ATR). Disclaimer: The content provided in this strategy is for informational and educational purposes only. It is not intended as financial, investment, or trading advice. Trading in cryptocurrency, stocks, or any financial markets involves significant risk, and you may lose more than your initial investment. Past performance is not indicative of future results, and no guarantee of profit can be made. You should consult with a professional financial advisor before making any investment decisions. The creator of this strategy is not responsible for any financial losses or damages incurred as a result of following this strategy. All trades are executed at your own risk.
Stratégie Pine Script®
par ltphau99
1
Korean Exchange Relative Volume BarchartKorean Exchange Relative Volume Barchart The Korean Exchange Relative Volume Barchart indicator compares the trading volume of a cryptocurrency on any symbol with the combined volumes of major Korean exchanges, Upbit and Bithumb. This tool helps traders understand regional trading activities, offering insights into market sentiment influenced by Korean markets. For example 0.5 would indicate that the Korean exchanges are doing 50% of the volume of the selected symbol. Features: Exchange Selection: Include or exclude Upbit and Bithumb in the comparison. Automatic Symbol Mapping: Automatically maps the current chart's symbol to equivalent symbols on Upbit and Bithumb. Stacked Bar Chart Visualization: Plots a stacked bar chart showing the relative volume contributions of Binance, Upbit, and Bithumb. Usage: Add the Indicator: Apply it to a cryptocurrency chart on TradingView. Configure Settings: Toggle inclusion of Upbit and Bithumb in the settings. Interpret the Chart: The stacked bar chart displays the proportion of trading volumes from each exchange. Notes: Symbol Compatibility: Ensure the cryptocurrency is listed on the Korean exchanges for accurate comparison. Data Accuracy: Volumes are compared in the same base currency (e.g., BTC), so no exchange rate conversion is necessary. Enhance your trading analysis by understanding the influence of Korean exchanges on cryptocurrency volumes with the Korean Exchange Volume Comparison indicator.
Indicateur Pine Script®
par hansolar21
Intelle_city - World Cycle - Ath & Atl - Logarithmic - Strategy.Overview Indicators: Strategy ! INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Strategy - The Pi Cycle Top and Bottom Oscillator is an adaptation of the original Pi Cycle Top chart. It compares the 111-Day Moving Average circle and the 2 * 350-Day Moving Average circle of Bitcoin’s Price. These two moving averages were selected as 350 / 111 = 3.153; An approximation of the important mathematical number Pi. When the 111-Day Moving Average circle reaches the 2 * 350-Day Moving Average circle, it indicates that the market is becoming overheated. That is because the mid time frame momentum reference of the 111-Day Moving Average has caught up with the long timeframe momentum reference of the 2 * 350-Day Moving Average. Historically this has occurred within 3 days of the very top of each market cycle. When the 111 Day Moving Average circle falls back beneath the 2 * 350 Day Moving Average circle, it indicates that the market momentum of that cycle is significantly cooling down. The oscillator drops down into the lower green band shown where the 111 Day Moving Average is moving at a 75% discount relative to the 2 * 350 Day Moving Average. Historically, this has highlighted broad areas of bear market lows. IMPORTANT: You need to set a LOGARITHMIC graph. (The function is located at the bottom right of the screen) IMPORTANT: The INTELLECT_city indicator is made for a buy-sell strategy; there is also a signal indicator from INTELLECT_city IMPORTANT: The Chart shows all cycles, both buying and selling. IMPORTANT: Suitable timeframes are 1 daily (recommended) and 1 weekly ----------------------------- Описание на русском: ----------------------------- Обзор индикатора INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Strategy - Логарифмический - Сигнал - Осциллятор вершины и основания цикла Пи представляет собой адаптацию оригинального графика вершины цикла Пи. Он сравнивает круг 111-дневной скользящей средней и круг 2 * 350-дневной скользящей средней цены Биткойна. Эти две скользящие средние были выбраны как 350/111 = 3,153; Приближение важного математического числа Пи. Когда круг 111-дневной скользящей средней достигает круга 2 * 350-дневной скользящей средней, это указывает на то, что рынок перегревается. Это происходит потому, что опорный моментум среднего временного интервала 111-дневной скользящей средней догнал опорный момент импульса длинного таймфрейма 2 * 350-дневной скользящей средней. Исторически это происходило в течение трех дней после вершины каждого рыночного цикла. Когда круг 111-дневной скользящей средней опускается ниже круга 2 * 350-дневной скользящей средней, это указывает на то, что рыночный импульс этого цикла значительно снижается. Осциллятор опускается в нижнюю зеленую полосу, показанную там, где 111-дневная скользящая средняя движется со скидкой 75% относительно 2 * 350-дневной скользящей средней. Исторически это высветило широкие области минимумов медвежьего рынка. ВАЖНО: Выставлять нужно ЛОГАРИФМИЧЕСКИЙ график. (Находиться функция с правой нижней части экрана) ВАЖНО: Индикатор INTELLECT_city сделан для стратегии покупок продаж, есть также и сигнальный от INTELLECT_сity ВАЖНО: На Графике видны все циклы, как на покупку так и на продажу. ВАЖНО: Подходящие таймфреймы 1 дневной (рекомендовано) и 1 недельный ----------------------------- Beschreibung - Deutsch ----------------------------- Indikatorübersicht INTELLECT_city – Weltzyklus – ATH & ATL – Zeitrahmen 1T und 1W – Logarithmisch – Strategy – Der Pi-Zyklus-Top- und Bottom-Oszillator ist eine Anpassung des ursprünglichen Pi-Zyklus-Top-Diagramms. Er vergleicht den 111-Tage-Gleitenden-Durchschnittskreis und den 2 * 350-Tage-Gleitenden-Durchschnittskreis des Bitcoin-Preises. Diese beiden gleitenden Durchschnitte wurden als 350 / 111 = 3,153 ausgewählt; eine Annäherung an die wichtige mathematische Zahl Pi. Wenn der 111-Tage-Gleitenden-Durchschnittskreis den 2 * 350-Tage-Gleitenden-Durchschnittskreis erreicht, deutet dies darauf hin, dass der Markt überhitzt. Das liegt daran, dass der Momentum-Referenzwert des 111-Tage-Gleitenden-Durchschnitts im mittleren Zeitrahmen den Momentum-Referenzwert des 2 * 350-Tage-Gleitenden-Durchschnitts im langen Zeitrahmen eingeholt hat. Historisch gesehen geschah dies innerhalb von 3 Tagen nach dem Höhepunkt jedes Marktzyklus. Wenn der Kreis des 111-Tage-Durchschnitts wieder unter den Kreis des 2 x 350-Tage-Durchschnitts fällt, deutet dies darauf hin, dass die Marktdynamik dieses Zyklus deutlich nachlässt. Der Oszillator fällt in das untere grüne Band, in dem der 111-Tage-Durchschnitt mit einem Abschlag von 75 % gegenüber dem 2 x 350-Tage-Durchschnitt verläuft. Historisch hat dies breite Bereiche mit Tiefstständen in der Baisse hervorgehoben. WICHTIG: Sie müssen ein logarithmisches Diagramm festlegen. (Die Funktion befindet sich unten rechts auf dem Bildschirm) WICHTIG: Der INTELLECT_city-Indikator ist für eine Kauf-Verkaufs-Strategie konzipiert; es gibt auch einen Signalindikator von INTELLECT_city WICHTIG: Das Diagramm zeigt alle Zyklen, sowohl Kauf- als auch Verkaufszyklen. WICHTIG: Geeignete Zeitrahmen sind 1 täglich (empfohlen) und 1 wöchentlich
Stratégie Pine Script®
par INTELLECT_city
9
intellect_city - World Cycle - Ath & Atl - Logarithmic - Signal.Indicator Overview INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Signal - The Pi Cycle Top and Bottom Oscillator is an adaptation of the original Pi Cycle Top chart. It compares the 111-Day Moving Average circle and the 2 * 350-Day Moving Average circle of Bitcoin’s Price. These two moving averages were selected as 350 / 111 = 3.153; An approximation of the important mathematical number Pi. When the 111-Day Moving Average circle reaches the 2 * 350-Day Moving Average circle, it indicates that the market is becoming overheated. That is because the mid time frame momentum reference of the 111-Day Moving Average has caught up with the long timeframe momentum reference of the 2 * 350-Day Moving Average. Historically this has occurred within 3 days of the very top of each market cycle. When the 111 Day Moving Average circle falls back beneath the 2 * 350 Day Moving Average circle, it indicates that the market momentum of that cycle is significantly cooling down. The oscillator drops down into the lower green band shown where the 111 Day Moving Average is moving at a 75% discount relative to the 2 * 350 Day Moving Average. Historically, this has highlighted broad areas of bear market lows. IMPORTANT: You need to set a LOGARITHMIC graph. (The function is located at the bottom right of the screen) IMPORTANT: The INTELLECT_city indicator is made for signal purchases of sales, there is also a strategic one from INTELLECT_city IMPORTANT: The Chart shows all cycles, both buying and selling. IMPORTANT: Suitable timeframes are 1 daily (recommended) and 1 weekly ----------------------------- Описание на русском: ----------------------------- Обзор индикатора INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Signal - Логарифмический - Сигнал - Осциллятор вершины и основания цикла Пи представляет собой адаптацию оригинального графика вершины цикла Пи. Он сравнивает круг 111-дневной скользящей средней и круг 2 * 350-дневной скользящей средней цены Биткойна. Эти две скользящие средние были выбраны как 350/111 = 3,153; Приближение важного математического числа Пи. Когда круг 111-дневной скользящей средней достигает круга 2 * 350-дневной скользящей средней, это указывает на то, что рынок перегревается. Это происходит потому, что опорный моментум среднего временного интервала 111-дневной скользящей средней догнал опорный момент импульса длинного таймфрейма 2 * 350-дневной скользящей средней. Исторически это происходило в течение трех дней после вершины каждого рыночного цикла. Когда круг 111-дневной скользящей средней опускается ниже круга 2 * 350-дневной скользящей средней, это указывает на то, что рыночный импульс этого цикла значительно снижается. Осциллятор опускается в нижнюю зеленую полосу, показанную там, где 111-дневная скользящая средняя движется со скидкой 75% относительно 2 * 350-дневной скользящей средней. Исторически это высветило широкие области минимумов медвежьего рынка. ВАЖНО: Выставлять нужно ЛОГАРИФМИЧЕСКИЙ график. (Находиться функция с правой нижней части экрана) ВАЖНО: Индикатор INTELLECT_city сделан для сигнальных покупок продаж, есть также и стратегический от INTELLECT_сity ВАЖНО: На Графике видны все циклы, как на покупку так и на продажу. ВАЖНО: Подходящие таймфреймы 1 дневной (рекомендовано) и 1 недельный ----------------------------- Beschreibung - Deutsch ----------------------------- Indikatorübersicht INTELLECT_city – Weltzyklus – ATH & ATL – Zeitrahmen 1T und 1W – Logarithmisch – Signal – Der Pi-Zyklus-Top- und Bottom-Oszillator ist eine Anpassung des ursprünglichen Pi-Zyklus-Top-Diagramms. Er vergleicht den 111-Tage-Gleitenden-Durchschnittskreis und den 2 * 350-Tage-Gleitenden-Durchschnittskreis des Bitcoin-Preises. Diese beiden gleitenden Durchschnitte wurden als 350 / 111 = 3,153 ausgewählt; eine Annäherung an die wichtige mathematische Zahl Pi. Wenn der 111-Tage-Gleitenden-Durchschnittskreis den 2 * 350-Tage-Gleitenden-Durchschnittskreis erreicht, deutet dies darauf hin, dass der Markt überhitzt. Das liegt daran, dass der Momentum-Referenzwert des 111-Tage-Gleitenden-Durchschnitts im mittleren Zeitrahmen den Momentum-Referenzwert des 2 * 350-Tage-Gleitenden-Durchschnitts im langen Zeitrahmen eingeholt hat. Historisch gesehen geschah dies innerhalb von 3 Tagen nach dem Höhepunkt jedes Marktzyklus. Wenn der Kreis des 111-Tage-Durchschnitts wieder unter den Kreis des 2 x 350-Tage-Durchschnitts fällt, deutet dies darauf hin, dass die Marktdynamik dieses Zyklus deutlich nachlässt. Der Oszillator fällt in das untere grüne Band, in dem der 111-Tage-Durchschnitt mit einem Abschlag von 75 % gegenüber dem 2 x 350-Tage-Durchschnitt verläuft. Historisch hat dies breite Bereiche mit Tiefstständen in der Baisse hervorgehoben. WICHTIG: Sie müssen ein logarithmisches Diagramm festlegen. (Die Funktion befindet sich unten rechts auf dem Bildschirm) WICHTIG: Der INTELLECT_city-Indikator dient zur Signalisierung von Käufen oder Verkäufen, es gibt auch einen strategischen Indikator von INTELLECT_city WICHTIG: Das Diagramm zeigt alle Zyklen, sowohl Kauf- als auch Verkaufszyklen. WICHTIG: Geeignete Zeitrahmen sind 1 täglich (empfohlen) und 1 wöchentlich
Indicateur Pine Script®
par INTELLECT_city
7