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Crowding model ║ BullVision🔬 Overview The Crypto Crowding Model Pro is a sophisticated analytical tool designed to visualize and quantify market conditions across multiple cryptocurrencies. By leveraging Relative Strength Index (RSI) and Z-score calculations, this indicator provides traders with an intuitive and detailed snapshot of current crypto market dynamics, highlighting areas of extreme momentum, crowded trades, and potential reversal points. ⚙️ Key Concepts 📊 RSI and Z-Score Analysis RSI (Relative Strength Index) evaluates the momentum and strength of each cryptocurrency, identifying overbought or oversold conditions. Z-Score Normalization measures each asset's current price deviation relative to its historical average, identifying statistically significant extremes. 🎯 Crowding Analytics An integrated analytics panel provides real-time crowding metrics, quantifying market sentiment into four distinct categories: 🔥 FOMO (Fear of Missing Out): High momentum, potential exhaustion. ❄️ Fear: Low momentum, potential reversal or consolidation. 📈 Recovery: Moderate upward momentum after a downward trend. 💪 Strength: Stable bullish conditions with sustained momentum. 🖥️ Visual Scatter Plot Assets are plotted on a dynamic scatter plot, positioning each cryptocurrency according to its RSI and Z-score. Color coding, symbol shapes, and sizes help quickly identify main market segments (BTC, ETH, TOTAL, OTHERS) and individual asset conditions. 🧩 Quadrant Classification Assets are categorized into four quadrants based on their momentum and deviation: Overbought Extended: High RSI and positive Z-score. Recovery Phase: Low RSI but positive Z-score. Oversold Compressed: Low RSI and negative Z-score. Strong Consolidation: High RSI but negative Z-score. 🔧 User Customization 🎨 Visual Settings Bar Scale: Adjust the scatter plot visual scale. Asset Visibility: Optionally display key market benchmarks (TOTAL, BTC, ETH, OTHERS). Gradient Background: Enhances visual interpretation of asset clusters. Crowding Analytics Panel: Toggle the analytics panel on/off. 📊 Indicator Parameters RSI Length: Defines the calculation period for RSI. Z-score Lookback: Historical lookback period for normalization. Crowding Alert Threshold: Sets alert sensitivity for crowded market conditions. 🎯 Zone Settings Quadrant Labels: Displays descriptive labels for each quadrant. Danger Zones: Highlights extreme RSI levels indicative of heightened market risk. 📈 Visual Output Dynamic Scatter Plot: Visualizes asset positioning clearly and intuitively. Gradient and Grid: Professional gridlines and subtle gradient backgrounds assist visual assessment. Danger Zone Highlights: Visually indicates RSI extremes to warn of potential market turning points. Crowding Analytics Panel: Real-time summary of market sentiment and asset distribution. 🔍 Use Cases This indicator is particularly beneficial for traders and analysts looking to: Identify crowded trades and potential reversal points. Quickly assess overall market sentiment and individual asset strength. Integrate a robust momentum analysis into broader technical or fundamental strategies. Enhance market timing and improve risk management decisions. ⚠️ Important Notes This indicator does not provide explicit buy or sell signals. It is intended solely for informational, analytical, and educational purposes. Past performance and signals are not indicative of future market results. Always combine with additional tools and analysis as part of comprehensive decision-making.
Pine Script® indicator
by BullVisionCapital
12
EMA 200 Monitor - Bybit CoinsEMA 200 Monitor - Bybit Coins 📊 OVERVIEW The EMA 200 Monitor - Bybit Coins is an advanced indicator that automatically monitors 30 of the top cryptocurrencies traded on Bybit, alerting you when they are close to the 200-period Exponential Moving Average on the 4-hour timeframe. This indicator was developed especially for traders who use the EMA 200 as a key support/resistance level in their swing trading and position trading strategies. 🎯 WHAT IT'S FOR Multi-Asset Monitoring: Simultaneous monitoring of 30 cryptocurrencies without having to switch between charts Opportunity Identification: Detects when coins are approaching the 200 EMA, a crucial technical level Automated Alerts: Real-time notifications when a coin reaches the configured proximity Time Efficiency: Eliminates the need to manually check chart collections ⚙️ HOW IT WORKS Main Functionality The indicator uses the request.security() function to fetch price data and calculate the 200 EMA of each monitored asset. With each new bar, the script: Calculates the distance between the current price and the 200 EMA for each coin Identifies proximity based on the configured percentage (default: 2%) Displays results in a table organized on the chart Generates automatic alerts when proximity is detected Monitored Coins Major : BTC, ETH, BNB, ADA, XRP, SOL, DOT, DOGE, AVAX DeFi : UNI, LINK, ATOM, ICP, NEAR, OP, ARB, INJ Memecoins : SHIB, PEPE, WIF, BONK, FLOKI Emerging : SUI, TON, APT, POL (ex-MATIC) 📋 AVAILABLE SETTINGS Adjustable Parameters EMA Length (Default: 200): Exponential Moving Average Period Proximity Percentage (Default: 2%): Distance in percentage to consider "close" Show Table (Default: Active): Show/hide results table Table Position: Position of the table on the chart (9 options available) Color System 🔴 Red: Distance ≤ 1% (very close) 🟠 Orange: Distance ≤ 1.5% (close) 🟡 Yellow: Distance ≤ 2% (approaching) 🚀 HOW TO USE Initial Configuration Add the indicator to the 4-hour timeframe chart Set the parameters according to your strategy Position the table where there is no graphic preference Setting Alerts Click "Create Alert" in TradingView Select the "EMA 200 Monitor" indicator Set the notification frequency and method Activate the alert to receive automatic notifications Results Interpretation The table shows: Coin: Asset name (e.g. BTC, ETH) Price: Current currency quote EMA 200: Current value of the moving average Distance: Percentage of proximity to the core code 💡 STRATEGIES TO USE Reversal Trading Entry: When price touches or approaches the EMA 200 Stop: Below/above the EMA with a safety margin Target: Previous resistance/support levels Breakout Trading Monitoring: Watch for currencies consolidating near the EMA 200 Entry: When the media is finally broken Confirmation: Volume and close above/below the EMA Swing Trading Identification: Use the monitor to detect setups in formation Timing: Wait for the EMA 200 to approach for detailed analysis Management: Use the EMA as a reference for stops dynamics ⚠️ IMPORTANT CONSIDERATIONS Technical Limitations Request Bybit data: Access to exchange symbols required Specific timeframe: Optimized for 4-hour analysis Minimum delay: Data updated with each new bar Usage Recommendations Combine with technical analysis: Use together with other indicators Confirm the configuration: Check the graphic patterns before trading Manage risk: Always use stop loss and adequate position sizing Backtesting: Test your strategy before applying with real capital Disclaimer This indicator is a technical analysis tool and does not constitute investment advice. Always do your own analysis and manage detailed information about the risks of your operations. 🔧 TECHNICAL INFORMATION Pine Script version: v6 Type: Indicator (overlay=true) Compatibility: All TradingView plans Resources used: request.security(), arrays, tables Performance: Optimized for multiple simultaneous queries 📈 COMPETITIVE ADVANTAGES ✅ Simultaneous monitoring of 30 major assets ✅ Clear visual interface with intuitive core system ✅ Customizable alerts for different details ✅ Optimized code for maximum performance ✅ Flexible configuration adaptable to different strategies ✅ Real-time update without the need for manual refresh Developed for traders who value efficiency and accuracy in identifying market opportunities based on the EMA 20
Pine Script® indicator
by MestreDoFOMO
Momentum Long + Short Strategy (BTC 3H)Momentum Long + Short Strategy (BTC 3H) 🔍 How It Works, Step by Step Detect the Trend (📈/📉) Calculate two moving averages (100-period and 500-period), either EMA or SMA. For longs, we require MA100 > MA500 (uptrend). For shorts, we block entries if MA100 exceeds MA500 by more than a set percentage (to avoid fading a powerful uptrend). Apply Momentum Filters (⚡️) RSI Filter: Measures recent strength—only allow longs when RSI crosses above its smoothed average, and shorts when RSI dips below the oversold threshold. ADX Filter: Gauges trend strength—ensures we only enter when a meaningful trend exists (optional). ATR Filter: Confirms volatility—avoids choppy, low-volatility conditions by requiring ATR to exceed its smoothed value (optional). Confirm Entry Conditions (✅) Long Entry: Price is above both MAs Trend alignment & optional filters pass ✅ Short Entry: Price is below both MAs and below the lower Bollinger Band RSI is sufficiently oversold Trend-blocker & ATR filter pass ✅ Position Sizing & Risk (💰) Each trade uses 100 % of account equity by default. One pyramid addition allowed, so you can scale in if the move continues. Commission and slippage assumptions built in for realistic backtests. Stops & Exits (🛑) Long Stop-Loss: e.g. 3 % below entry. Long Auto-Exit: If price falls back under the 500-period MA. Short Stop-Loss: e.g. 3 % above entry. Short Take-Profit: e.g. 4 % below entry. 🎨 Why It’s Powerful & Customizable Modular Filters: Turn on/off RSI, ADX, ATR filters to suit different market regimes. Adjustable Thresholds: Fine-tune stop-loss %, take-profit %, RSI lengths, MA gaps and more. Multi-Timeframe Potential: Although coded for 3 h BTC, you can adapt it to stocks, forex or other cryptos—just recalibrate! Backtest Fine-Tuned: Default settings were optimized via backtesting on historical BTC data—but they’re not guarantees of future performance. ⚠️ Warning & Disclaimer This strategy is for educational purposes only and designed for a toy fund. Crypto markets are highly volatile—you can lose 100 % of your capital. It is not a predictive “holy grail” but a rules-based framework using past data. The parameters have been fine-tuned on historical data and are not valid for future trades without fresh calibration. Always practice with paper-trading first, use proper risk management, and do your own research before risking real money. 🚨🔒 Good luck exploring and experimenting! 🚀📊
Pine Script® strategy
by noobztrader101
Altcoins Screener [SwissAlgo]Introduction: The Altcoins Screener at a Glance The Altcoins Screener is a cryptocurrency analysis tool designed to provide an overview of potential trading opportunities across multiple crypto coins/tokens and categories. By combining technical analysis, price action assessment, and social metrics (via LunarCrush data), it presents market information and trading signals for a broad range of altcoins (approx. 300 USDT.P pairs of 9 crypto categories). The screener is designed to consolidate market information onto a single chart , aiming to streamline the analysis of market conditions. It provides a consolidated market overview, which can simplify the assessment of market conditions, compared to monitoring individual charts with several layered indicators. Key Features: 🔹 Multi-category analysis covering 300 crypto pairs of 9 categories on a single chart (Layer 1 & Top Coins, Layer2 & Scaling, Defi & Landing, Gaming & Metaverse, AI & Data, Exchanges & Trading, NFT & Social, Memes & Community, Other, User's Custom Portfolio). 🔹 Technical analysis with trade signals (Long/Short) based on an aggregated view of technical and social data points 🔹 Social sentiment integration through LunarCrush metrics (GalaxyScore, AltRank, Social Sentiment) 🔹 Real-time market scanning provides automated alerts when market conditions for specified coins/tokens potentially change. 🔹 Custom watchlist support for personalized monitoring (users can define a custom category containing a set of specific cryptocurrencies, i.e. own portfolio). The screener presents data in a table format, using color-coded indicators to aid visual analysis. Detailed technical information is also provided. The assessments/trade signals provided by this indicator should be considered as one input among many when forming your trading strategy. -------------------------------------- What It Does The Altcoins Screener is a cryptocurrency analysis tool that offers: Data Display and Analysis (Technical/Social): 🔹 Technical Metrics * Technical Raw Data : Displays raw values for a range of technical indicators, including RSI, Stochastic RSI, DMI/ADX, RVI, ATR, OBV, and Hull Moving Averages (including their recent trends and potential significance). Detailed view of key technical indicators, for further analysis and evaluation: * Technical Analysis (Summary) : Provides a summarized interpretation of technical conditions based on aggregated parameters: * Price Action * Trend * Momentum * Volatility * Volume Summarized view of confluences for potential long/short bias: 🔹 Social Metrics (LunarCrush) : Presents data from LunarCrush®, including Galaxy Score®, AltRank®, and Social Sentiment® (including their recent trends and potential significance). Lunarcrush data for the top 10 coins for each crypto category: 🔹 PVSRA (Price Volume & Market Makers Activity) Candles : Shows special candles highlighting potential market maker activity and volume anomalies, helping identify possible manipulation zones (including imbalance zones, i.e. price areas that market makers may revisit) -------------------------------------- Key Features: Automated trade signals (Long/Short) are generated based on algorithmic calculations and signal confidence levels across technical and social data points. These signals are intended to be used as one component of a broader trading strategy. Custom sensitivity settings allow users to adjust the analysis timeframe (options: 1D, 2D, or 1W). Higher timeframes may provide a broader perspective, while the 2D setting is the default configuration. Multi-category analysis covering a selection of approximately 300 crypto pairs across 9 predefined crypto categories. Custom symbol selection: Users can define a custom list of up to 10 symbols for focused monitoring. Automated Alerts to track potential trend changes across crypto categories (Long to Short to Neutral, or vice versa) Visual Interface: Organized table display with color-coded indicators to aid interpretation. Clear and efficient format for scanning market information. -------------------------------------- Target Audience 🔹 The screener is designed for cryptocurrency traders who:
 Need to efficiently monitor multiple USDT perpetual futures markets Use technical analysis in their trading decisions Want to track sector-wide movements across crypto categories 
 🔹 Suitable for different trading styles: Scalpers requiring quick market assessment Swing traders analyzing multi-day trends Position traders monitoring longer-term setups The color-coded interface makes it accessible for intermediate traders while providing detailed metrics for advanced users. A basic understanding of technical analysis and crypto trading is recommended. -------------------------------------- How It Works The Altcoins Screener evaluates cryptocurrencies through a multi-layered analysis: 🔹 Core Analysis Components Each parameter combines multiple indicators for comprehensive evaluation: Price Action EMA crossovers and momentum Support/resistance zones Candlestick patterns Trend Hull Moving Average system DMI/ADX trend strength Multi-timeframe confirmation Momentum RSI/Stochastic RSI readings MACD convergence/divergence Oscillator confirmations Volatility RVI/ATR measurements Bollinger Bands behavior Historical volatility trends Volume OBV trend analysis Volume/price correlations Volume profile assessment 🔹 Signal Generation Process 1. Real-time data collection across timeframes 2. Weighted indicator calculations 3. Parameter aggregation and analysis 4. Signal strength determination 5. Color-coding and alert generation -------------------------------------- How to Use 🔹 Initial Setup: Add the indicator to a chart (use the 1D timeframe) Select your preferred crypto category or create a custom list Choose between Technical Analysis or Technical Metrics view Set data sensitivity based on your trading style 🔹 Using the Technical Analysis View: Monitor color-coded dots for quick market assessment Green: bullish conditions Red: bearish conditions Gray: neutral conditions Check the "Trade Signal" column for potential Long/Short entries signaled by confluences among technical and/or social data points 🔹 Using the Technical Metrics View: Review detailed numerical values Monitor slopes (↑↓ arrows) for the most recent trend direction of each data point Watch for pivotal points (highlighted cells): these are data points that suggest potential trend reversals Focus on the confluence of multiple indicators The technical metrics view corroborates the conclusions shown in the Technical Analysis View, providing more details about some critical data points. 🔹 Alert Configuration: Enable Technical Alerts for signal notifications (which coin/token seems most suited for Long or Short trades, and which coin/token is in a neutral/uncertain state for trading = "No Trade") Configure alert conditions based on trading style Set timeframe-appropriate sensitivity Monitor alert messages for trade signals Instructions on how to set alerts are provided in the script (enable "Signals Setup Instructions" in User Interface to get a step-by-step guide about setting up alerts) Best Practices: Confirm signals across multiple timeframes Use appropriate sensitivity for your trading style Monitor multiple categories for sector rotation Combine signals with your trading strategy Verify signals with price action confirmation and deep dive into the charts of your potential targets -------------------------------------- About the Settings 🔹 Crypto Category Selection Layer 1 & Major: Top market cap coins (BTC, ETH, XRP,...), established protocols Layer 2 & Scaling: ETH L2s, scaling solutions DeFi & Lending: Decentralized finance protocols Gaming & Metaverse: Gaming and virtual world tokens AI & Data: Artificial intelligence and data projects Exchange & Trading: Exchange tokens, trading protocols NFT & Social: NFT platforms, social tokens Memes & Community: Community-driven tokens Others & Misc: Other categories Custom Category: User-defined list (up to 10 symbols) Data Type Options Technical Analysis: Color-coded summary view Technical Metrics: Detailed numerical values of some key technical data points Sensitivity Settings Higher: Shorter timeframe, more frequent signals Default: Balanced timeframe, standard signals Lower: Longer timeframe, stronger signals Alert Settings Technical Alerts: Trade signal notifications Data Timeframe: Minimum 1D required Theme: Dark/Light mode options Note: All analysis is performed on USDT Perpetual Futures pairs from Binance -------------------------------------- FAQ Q: Does the screener work on other exchanges besides Binance? A: No, it's designed specifically for Binance USDT Perpetual Futures pairs. Binance offers the highest liquidity and trading volume in the crypto derivatives market, making it ideal for technical analysis. The extensive range of trading pairs and reliable data streams help ensure more accurate signals and analysis. Using a single high-liquidity exchange also helps avoid inconsistencies that could arise from aggregating data across multiple platforms with varying liquidity levels. Q: What's the minimum timeframe required? A: The screener requires a minimum 1D (daily) timeframe. This requirement ensures that the technical analysis has sufficient data points for reliable signal generation. Lower timeframes can produce more noise and false signals, while daily timeframes help filter out market noise and identify stronger trends. Q: Why are some social metrics showing "NaN"? A: "NaN" (Not a Number) appears when cryptocurrencies don't have associated LunarCrush data. This typically occurs with newer tokens or those with lower market caps. The technical analysis remains fully functional regardless of social metric availability, as these are complementary data points. Q: How often are signals updated? A: Signals update with each new candle on the selected timeframe (1D, 2D, or 1W). For example, on the default 2D setting, signals are recalculated every two days as new candles form. This helps reduce noise while maintaining timely analysis of market conditions. Q: Can I add spot trading pairs? A: No, the screener is optimized for Binance USDT perpetual futures pairs for data consistency and analysis purposes. While spot and perpetual prices typically align closely due to arbitrage, using a single data source (Binance) and contract type (USDT perpetual) ensures uniform data quality and analysis across all pairs. This standardization helps maintain reliable technical analysis and signal generation. Q: How many coins can I add to my custom list? A: Users can add up to 10 custom symbols to their watchlist. This limit is designed to maintain optimal performance while allowing focused monitoring of specific assets. The custom list complements the predefined categories that cover over 300 pairs. Q: What determines signal confidence levels? A: Signal confidence is calculated through a weighted algorithm that considers multiple factors: trend strength (Hull MA, DMI/ADX), momentum indicators (RSI, SRSI), volatility measurements (RVI, ATR, BB), volume analysis (OBV, volume trends), and price action patterns. Higher confidence levels indicate stronger alignment across these factors. Q: Are signals guaranteed to work? A: No. Signals are analytical tools based on historical and current market data, not guaranteed predictions. They should be used as one component of a comprehensive trading strategy that includes proper risk management, position sizing, and additional confirmation factors. Past performance does not guarantee future results. Q: Why does the screener need higher timeframes? A: Higher timeframes (1D minimum) provide several benefits: reduced market noise, more reliable technical signals, better trend identification, and lower likelihood of false signals. They also align better with institutional trading patterns and allow for a more thorough analysis of market conditions across multiple indicators. -------------------------------------- Conclusion The Altcoins Screener is a comprehensive crypto market analysis tool that: Scans 300+ cryptocurrencies across 9 sectors on a single chart Combines technical indicators and social metrics for signal generation Identifies potential trading opportunities through color-coded visuals Saves time by eliminating the need to monitor multiple charts The tool is suited for: Market overview and sector rotation analysis Quick assessment of market conditions Technical and social sentiment tracking Systematic trading approach with alerts Use this screener with caution and as a complement to any other tool you use to define your trading strategy. -------------------------------------- Disclaimer This indicator is for informational and educational purposes only:
 Not financial advice: This indicator should not be considered investment advice. No guarantee of accuracy: The indicator's calculations and signals are based on specific algorithms and data sources, but accuracy cannot be guaranteed. Market conditions can change rapidly. Past performance is not predictive: Past performance of the indicator's signals or any specific asset is not indicative of future results. Substantial risk of loss: Trading cryptocurrencies involves a substantial risk of loss. You can lose money trading these assets. User responsibility: Users are solely responsible for their own trading decisions and should exercise caution. Independent research required: Always conduct thorough independent research (DYOR) before making any trading decisions. Technical analysis is one of many tools: Technical analysis, including the output of this indicator, is just one tool among many and should not be relied upon exclusively. Risk management is essential: Use proper risk management techniques, including position sizing and stop-loss orders. Comprehensive strategy: Use this tool as part of a comprehensive trading strategy, not as a standalone solution. No liability for trading results: The Author assumes no responsibility or liability for any trading results or losses incurred as a result of using this indicator. No TradingView affiliation: SwissAlgo is an independent entity and is not affiliated with or endorsed by TradingView. LunarCrush data: The indicator utilizes publicly available data from LunarCrush. LunarCrush data and trademarks are the property of LunarCrush. Consult a financial advisor: Consult with a qualified financial advisor before making any investment decisions. By using this indicator, you acknowledge and agree to these terms. If you do not agree with these terms, please refrain from using this indicator.
Pine Script® indicator
by SwissAlgo
3
Multi-Band Comparison Strategy (CRYPTO)Multi-Band Comparison Strategy (CRYPTO) Optimized for Cryptocurrency Trading This Pine Script strategy is built from the ground up for traders who want to take advantage of cryptocurrency volatility using a confluence of advanced statistical bands. The strategy layers Bollinger Bands, Quantile Bands, and a unique Power-Law Band to map out crucial support/resistance zones. It then focuses on a Trigger Line—the lower standard deviation band of the upper quantile—to pinpoint precise entry and exit signals. Key Features Bollinger Band Overlay The upper Bollinger Band visually shifts to yellow when price exceeds it, turning black otherwise. This offers a straightforward way to gauge heightened momentum or potential market slowdowns. Quantile & Power-Law Integration The script calculates upper and lower quantile bands to assess probabilistic price extremes. A Power-Law Band is also available to measure historically significant return levels, providing further insight into overbought or oversold conditions in fast-moving crypto markets. Standard Deviation Trigger The lower standard deviation band of the upper quantile acts as the strategy’s trigger. If price consistently holds above this line, the strategy interprets it as a strong bullish signal (“green” zone). Conversely, dipping below indicates a “red” zone, signaling potential reversals or exits. Consecutive Bar Confirmation To reduce choppy signals, you can fine-tune the number of consecutive bars required to confirm an entry or exit. This helps filter out noise and false breaks—critical in the often-volatile crypto realm. Adaptive for Multiple Timeframes Whether you’re scalping on a 5-minute chart or swing trading on daily candles, the strategy’s flexible confirmation and overlay options cater to different market conditions and trading styles. Complete Plot Customization Easily toggle visibility of each band or line—Bollinger, Quantile, Power-Law, and more. Built-in Simple and Exponential Moving Averages can be enabled to further contextualize market trends. Why It Excels at Crypto Cryptocurrencies are known for rapid price swings, and this strategy addresses exactly that by combining multiple statistical methods. The quantile-based confirmation reduces noise, while Bollinger and Power-Law bands help highlight breakout regions in trending markets. Traders have reported that it works seamlessly across various coins and tokens, adapting its triggers to each asset’s unique volatility profile. Give it a try on your favorite cryptocurrency pairs. With advanced data handling, crisp visual cues, and adjustable confirmation logic, the Multi-Band Comparison Strategy provides a robust framework to capture profitable moves and mitigate risk in the ever-evolving crypto space.
Pine Script® strategy
by garysebastianbrowniii
UVR Crypto TrendINDICATOR OVERVIEW: UVR CRYPTO TREND The UVR Crypto Trend indicator is a custom-built tool designed specifically for cryptocurrency markets, utilizing advanced volatility, momentum, and trend-following techniques. It aims to identify trend reversals and provide buy and sell signals by analyzing multiple factors, such as price volatility(UVR), RSI (Relative Strength Index), CMF (Chaikin Money Flow), and EMA (Exponential Moving Average). The indicator is optimized for CRYPTO MARKETS only. KEY FEATURES AND HOW IT WORKS Volatility Analysis with UVR The UVR (Ultimate Volatility Rate) is a proprietary calculation that measures market volatility by comparing significant price extremes and smoothing the data over time. Purpose: UVR aims to reduce noise in low-volatility environments and highlight significant movements during higher-volatility periods. While it strives to improve filtering in low-volatility conditions, it does not guarantee perfect performance, making it a balanced and adaptable tool for dynamic markets like cryptocurrency. HOW UVR (ULTIMATE VOLATILITY RATE) IS CALCULATED UVR is calculated using a method that ensures precise measurement of market volatility by comparing price extremes across consecutive candles: Volatility Components: Two values are calculated to represent potential price fluctuations: The absolute difference between the current candle's high and the previous candle's low: Volatility Component 1=∣High−Low ∣ The absolute difference between the previous candle's high and the current candle's low: Volatility Component 2=∣High −Low∣ Volatility Ratio: The larger of the two components is selected as the Volatility Ratio, ensuring UVR captures the most significant movement: Volatility Ratio=max(Volatility Component 1,Volatility Component 2) Smoothing with SMMA: To stabilize the volatility calculation, the Volatility Ratio is smoothed using a Smoothed Moving Average (SMMA) over a user-defined period (e.g., 14 candles): UVR=(UVR(Previous)×(Period−1)+Volatility Ratio)/Period ​ This calculation ensures UVR adapts dynamically to market conditions, focusing on significant price movements while filtering out noise. RSI FOR MOMENTUM DETECTION RSI (Relative Strength Index) identifies overbought and oversold conditions. Trend Confirmation at the 50 Level RSI values crossing above 50 signal the potential start of an upward trend. RSI values crossing below 50 indicate the potential start of a downward trend. Key Reversals at Extreme Levels RSI detects trend reversals at overbought (>70) and oversold (<30) levels. For example: Overbought Trend Reversal: RSI >70 followed by bearish price action signals a potential downtrend. Oversold Trend Reversal: RSI <30 with bullish confirmation signals a potential uptrend. Rare Extreme RSI Readings Extreme levels, such as RSI <12 (oversold) or RSI >88 (overbought), are used to identify rare yet powerful reversals. ---HOW IT DIFFERS FROM OTHER INDICATORS--- Using UVR High and Low Values The Ultimate Volatility Rate (UVR) focuses on analyzing the high and low price ranges of the market to measure volatility. Unlike traditional trend indicators that rely primarily on momentum or moving average crossovers, UVR leverages price extremes to better identify trend reversals. This approach ensures fewer false signals during low-volatility phases and more accurate trend detection during high-volatility conditions. UVR as the Core Component The indicator is fundamentally built around UVR as the primary filter, while supporting tools like RSI (momentum detection), CMF (volume confirmation), and EMA (trend validation) complement its functionality. By integrating these additional components, the indicator provides a multidimensional analysis rather than relying solely on a single approach. Dynamic Adaptation to Volatility UVR dynamically adjusts to market conditions, striving to improve filtering in low-volatility phases. While not flawless, this approach minimizes false signals and adapts more effectively to varying levels of market activity. Trend Clouds for Visual Guidance UVR-based dynamic clouds visually mark high and low price areas, highlighting potential consolidation or retracement zones. These clouds serve as guides for setting stop-loss or take-profit levels, offering clear risk management strategies. BUY AND SELL SIGNAL LOGIC BUY CONDITIONS Momentum-Based Buy-Entry RSI >50, CMF >0, and the close price is above EMA50. The price difference between open and close exceeds a threshold based on UVR. Oversold Reversal RSI <30 and CMF >0 with a strong bullish candle (close > open and UVR-based sensitivity filter). Breakout Confirmation The price breaks above a previously identified resistance, with conditions for RSI and CMF supporting the breakout. Reversal from Oversold RSI Extreme RSI <12 on the previous candle with a strong rebound on the current candle with UVR confirmation filter. SELL CONDITIONS Momentum-Based Sell-Entry RSI <50, CMF <0, and the close price is below EMA50. The price difference between open and close exceeds the UVR threshold. Overbought Reversal RSI >70 with bearish price action (open > close and UVR-based sensitivity filter). Breakdown Confirmation The price breaks below a previously identified support, with RSI and CMF supporting the breakdown. Reversal from Overbought RSI Extreme RSI >88 on the previous candle with a bearish confirmation on the current candle with UVR confirmation filter. BUY AND SELL SIGNALS VISUALIZATION The UVR Crypto Trend Indicator visually represents buy and sell conditions using dynamic plots, making it easier for traders to interpret and act on the signals. Below is an explanation of the visual representation: Buy Signals and Visualization Signal Trigger: A buy signal is generated when one of the defined Buy Conditions is met (e.g., RSI >50, CMF >0, price above EMA50). Visual Representation: A blue upward arrow appears at the candle where the buy condition is triggered. A blue cloud forms above the price candles, representing the strength of the bullish trend. The cloud dynamically adapts to market volatility, using the UVR calculation to mark support zones or consolidation levels. Purpose of the Blue Cloud: It acts as a visual guide for price movements and stay horizontal when the trend is not moving up Sell Signals and Visualization Signal Trigger: A sell signal is generated when one of the defined Sell Conditions is met (e.g., RSI <50, CMF <0, price below EMA50). Visual Representation: A red downward arrow appears at the candle where the sell condition is triggered. A red cloud forms below the price candles, representing the strength of the bearish trend. Like the blue cloud, it uses the UVR calculation to dynamically mark resistance zones or potential retracement levels. Purpose of the Red Cloud: It acts as a visual guide for price movements and stay horizontal when the trend is not moving down. CONCLUSION The UVR Crypto Trend indicator provides a powerful tool for trend reversal detection by combining volatility analysis, momentum confirmation, and trend-following techniques. Its unique use of the Ultimate Volatility Rate (UVR) as a core element, supported by proven indicators like RSI, CMF, and EMA, ensures reliable and actionable signals tailored for the crypto market's dynamic nature. By leveraging UVR’s high and low price range analysis, it achieves a level of precision that traditional indicators lack, making it a high-performing system for cryptocurrency traders.
Pine Script® indicator
by ebecihalil
AI x Meme Impulse Tracker [QuantraSystems]AI x Meme Impulse Tracker Quantra Systems guarantees that the information created and published within this document and on the Tradingview platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors. Important Note! The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script. Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance. This ensures that the system is less likely to degrade in performance over time, compared to hyper-optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post-backtest. Even More Important Note!! The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing. While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes. Introduction The AI x Meme Impulse Tracker is a cutting-edge, fast-acting rotational algorithm designed to capitalize on the strength of assets within pre-selected categories. Using a custom function built on top of the RSI Pulsar, the system measures momentum through impulses rather than traditional trend following methods. This allows for swifter reallocations based on short bursts of strength. This system focuses on precision and agility - making it highly adaptable in volatile markets. The strategy is built around three independent asset categories - with allocations only made to the strongest asset in each - ensuring that capital movement (in particular between blockchains) is kept to a minimum for efficiency purposes while maintaining exposure to the highest performing tokens. Legend Token Inputs: The Impulse Tracker is designed with dynamic asset selection - allowing traders to customize the inputs for each category. This feature enables flexible system management, as the number of active tokens within each category can be adjusted at any time. Whether the user chooses the default of 13 tokens per category, or fewer, the system will automatically recalibrate. This ensures that all calculations, from relative strength to individual performance assessments, adjust as required. Disabled tokens are treated by the system as if they don’t exist - seamlessly updating performance metrics and the Impulse Tracker’s allocation behavior to maintain the highest level of efficiency and accuracy. System Equity Curve: The Impulse Tracker plots both the rotational system’s equity and the Buy-and-Hold (or ‘HODL’) benchmark of Bitcoin for comparison. While the HODL approach allocates the entire portfolio to Bitcoin and functions as an index to compare to, the Impulse Tracker dynamically allocates based on strength impulses within the chosen tokens and categories. The system equity curve is representative of adding an equal capital split between the strongest assets of each category. The relative strength system does handle ‘ties’ of strength - in this situation multiple tokens from a single category can be included in the final equity curve, with the allocated weight to that category split between the tied assets. TABLES: Equity Stats: This table is held in Quantra System's typical UI design language. It offers a comprehensive snapshot of the system’s performance, with key metrics organized to help traders quickly assess both short-term and cumulative results. The left side provides details on individual asset performance, while the right side presents a comparison of the system’s risk-adjusted metrics against a simple BTC Hodl strategy. The leftmost column of the Equity Stats table showcases performance indicators for the system’s current allocations. This provides quick identification of the current strongest tokens, based on confirmed and non-repainting data as soon as the current opens and the last bar closes. The right-hand side compares the performance differences between the system and Hodl profits, both on a cumulative basis and analyzing only the previous bar. The total number of position changes is also tracked in this table - an important metric when calculating total slippage and should be used to determine how ‘hands-on’ the strategy will be on the current timeframe. The lower part of the table highlights a direct comparison of the AI x Memes Impulse strategy with buy-and-hold Bitcoin. The risk adjusted performance ratios, Sharpe, Sortino and Omega, are shown side by side, as well as the maximum drawdown experienced by both strategies within the set testing window. Screener Table: This table provides a detailed breakdown of the performance for each asset that has been the strongest in its category at some point and thus received an allocation. The table tracks several key metrics for each asset - including returns, volatility, Sharpe ratio, Sortino ratio, Omega ratio, and maximum drawdown. It also displays the signals for both current and previous periods, as well as the assets weight in the theoretical portfolio. Assets that have never received a signal are also included, giving traders an overview of which assets have contributed to the portfolio's performance and which have not played a role so far. The position changes cell also offers important insights, as it shows the frequency of not just total position changes, but also rebalancing events. Detailed Slippage Table: The Detailed Slippage Table provides a comprehensive breakdown of the calculated slippage and fees incurred throughout the strategy’s operations. It contains several key metrics that give traders a granular view of the costs associated with executing the system: Selected Slippage - Displays the current slippage rate, as defined in the input menu. Removal Slippage - This accounts for any slippage or fees incurred when removing an allocation from a token. Reallocation Slippage - Tracks the slippage or fees when reallocating capital to existing positions. Addition Slippage - Measures the slippage or fees incurred when allocating capital to new tokens. Final Slippage - Is the sum of all the individual slippage points and provides a quick view of the total slippage accounted for by the system. The table is also divided into two columns: Last Transaction Slippage + Fees - Displays any slippage or fees incurred based on position changes within the current bar. Total Slippage + Fees - Shows the cumulative slippage and fees incurred since the portfolio’s selected start date. Visual Customization: Several customizable features are included within the input menu to enhance user experience. These include custom color palettes, both preloaded and user-selectable. This allows traders to personalize the visual appearance of the tables, ensuring clarity and consistency with their preferred interface themes and background coloring. Additionally, users can adjust both the position and sizes of all the tables - enabling complete tailoring to the trader’s layout and specific viewing preferences and screen configurations. This level of customization ensures a more intuitive and flexible interaction with the system’s data. Core Features and Methodologies Advanced Risk Management - A Unique Filtering Approach: The Equity Curve Activation Filter introduces an innovative way to dynamically manage capital allocation, aligning with periods of market trend strength. This filter is rooted in the understanding that markets move cyclically - altering between periods trending and mean-reverting periods. This cycle is especially pronounced in the crypto markets, where strong uptrends are often followed by prolonged periods of sideways movements or corrections as participants take profits and momentum fades. The Cyclical Nature of Markets and Trend Following: Financial markets do not trend indefinitely. Each uptrend or downtrend, whether over high and low timeframes, tends to culminate in a phase where momentum exhausts - leading to the sideways or corrective phases. This cycle results from the natural dynamics of market participants: during extended trends, more participants jump in, riding the momentum until profit taking causes the trend to slow down or reverse. This cyclical behavior occurs across all timeframes and in all markets - making it essential to adapt trading strategies in attempt to minimize losses during less favorable conditions. In a trend following system, profitability often mirrors this cyclical pattern. Trend following strategies thrive when markets are moving directionally, capturing gains as price moves with strength in a single direction. However in phases where the market chops sideways, trend following strategies will usually experience drawdowns and reduced returns due to the impersistent nature of any trends. This fluctuation in trend following profitability can actually serve as one of the best coincident indicators of broader market regime change - when profitability begins to fade, it often signals a transition to drawn out unfavorable trend trading conditions. The Equity Curve as a Market Signal Within the Impulse Tracker, a continuous equity curve is calculated based upon the system's allocation to the strongest tokens. This equity curve effectively tracks the system’s performance under all market conditions. However, instead of solely relying on the direct performance of the selected tokens, the system applies additional filters to analyze the trend strength of this equity curve itself. In the same way you only want to purchase an asset that is moving up in price, you only want to allocate capital to a strategy whose equity curve is trending upwards! The Equity Curve Activation Filter consistently monitors the trend of this equity curve through various filter indicators, such as the “Wave Pendulum Trend”, the “Quasar QSM” and the “MAQSM” (an aggregate of multiple types of averages). These filters help determine whether the equity curve is trending upwards, signaling a favorable period for trend following. When the equity curve is in a positive trend, capital is allocated to the system as normal - allowing it to capture gains during favorable market conditions, Conversely, when the trend weakens and the equity curves begins to stagnate or decline, the activation filter shifts the system into a “cash” positions - temporarily halting allocations in order to prevent market exposure during choppy or mean reverting phases. Timing Allocation With Market Conditions This unique filtering approach ensures that the system is primarily active during periods when market trends are most supportive. By aligning capital allocations with the uptrend in trend following profitability, the system is designed to enter during periods of strong momentum and move to cash when momentum with the equity curve wanes. This approach reduces the risk of overtrading in less favorable conditions and preserves capital for the next favorable trend. In essence the Equity Curve Allocation Filter serves as a dynamic risk management layer that leverages the cyclicality of trend following profitability in order to navigate shifting market phases. Sensitivity and Signal Responsiveness: The Quasar Sensitivity Setting allows users to fine-tune the system’s responsiveness to asset signals. High sensitivity settings lead to quicker position changes, making the system highly reactive to short term strength impulses. This is especially useful in fast moving markets where token strength can shift rapidly. The Sensitive setting might be more applicable to higher volatility or lower market cap assets - as the increased volatility increases the necessity of faster position cutting in order to front run the crowd. Of course - a balanced approach is ideal, as if the signals are too fast there will be too many whips and false signals. (And extra fees + slippage!) The benefit of this script is because of the advanced slippage calculations, false signals are sufficiently punished (unlike systems without fees or slippage) - so it will become immediately apparent if the false signals have a significantly detrimental impact on the system’s equity curve. Asset specific signals within each category are re-evaluated after the close of each bar to ensure that capital is always allocated to the highest performing asset. If a token’s momentum begins to fade the system swiftly reallocates to the next strongest asset within that category. Category Filter - Allocates only to the Strongest Asset per group One of the core innovations of the AI x Meme Impulse Tracker is the customizable Category Filter, which ensures that only the strongest-performing asset within each predefined group receives capital allocation. This approach not only increases the precision of asset selection but also allows traders to tailor the system to specific token narratives or categories. Sectors can include trending themes such as high-attention meme tokens, AI-driven tokens, or even categorize assets by blockchain ecosystems like Ethereum, Solana, or Base chain. This flexibility enables users to align their strategies with the latest market narratives or to optimize for specific groups, focusing on high-beta tokens within well defined sectors for a more targeted exposure. By keeping the focus on category leaders, the system avoids diluting its impact across underperforming assets, thereby maximizing capital efficiency and reducing unnecessary trading costs. Dynamic Asset Reallocation: Dynamic reallocation ensures that the system remains nimble and adapts to changing market conditions. Unlike slower systems, the Quasar method continually monitors for changes in asset strength and reallocates capital accordingly - ensuring that the system is always positioned in the highest performing assets within each category. Position Changes and Slippage: The Impulse Tracker places a strong emphasis on realistic simulation, prioritizing accuracy over inflated backtest results. This approach ensures that slippage is accounted for in a more aggressive manner than what may be experienced in real-world execution. Each position change within the system - whether it’s buying, selling, reallocating, or rebalancing between assets - incurs slippage. Slippage is applied to both ends of every transaction: when a position is entered and exited, and when reallocating capital from one token to another. This dynamic behavior is further enhanced by a customizable slippage/fees input, allowing users to simulate realistic transaction costs based on their own market conditions and execution behaviors. The slippage model works by applying a weighted slippage to the equity curve, taking into account the actual amount of capital being moved. Slippage is not applied in a blanket manner but rather in proportion to the allocation changes. For example, if the system reallocates from a single 100% position to two 50% allocations, slippage will be applied to the 50% removed from the first asset and the 50% added to the new asset, resulting in a 1x slippage multiplier. This process becomes more granular when multiple assets are involved. For instance, if reallocating from two 50% positions to three 33% positions, slippage will be incurred on each of the changes, but at a reduced rate (⅔ x slippage), reflecting the smaller percentage of portfolio equity being moved. The slippage model accounts for all types of allocation shifts, whether increasing or decreasing the number of tokens held, providing a realistic assessment of system costs. Here are some detailed examples to illustrate how slippage is calculated based on different scenarios: 100% → 50% / 50%: 1x slippage applied to both position changes (2 allocation changes). 50% / 50% → 33% / 33% / 33%: ⅔ x slippage multiplier applied across 3 allocation changes. 33% / 33% / 33% → 100%: 4/3 x slippage multiplier applied across 3 allocation changes. In practice, not every position change will be rebalanced perfectly, leading to a lower number of transactions and lower costs in practice. Additionally, with the use of limit orders, a trader can easily reduce the costs of entering a position, as well as ensuring a competitive entry price. By simulating slippage in this granular manner, the system captures the absolute maximum level of fees and slippage, in order to ensure that backtest results lean towards an underrepresentation - opposed to inflated results compared with practical execution. A Special Note on Slippage In the image above, the system has been applied to four different timeframes - 20h, 15h, 10h, and 5h - using identical settings and a selected slippage amount of 2%. By isolating a recent trend leg, we can illustrate an important concept: while the 15h timeframe is more profitable than the 20h timeframe, this difference stems from a core trading principle. Lower timeframes typically provide more data points and allow for quicker entries and exits in a robust system. This often results in reduced downside and compounding of gains. However, slippage, fees, and execution constraints are limiting factors, especially in volatile, low-cap cryptocurrencies. Although lower timeframes can improve performance by increasing trade frequency, each trade incurs heavy slippage costs that accumulate - impacting the portfolio’s capital at a compounding rate. In this example, the chosen slippage rate of 2% per trade is designed to reflect the realistic trading costs, emphasizing how lower timeframe trading comes at the cost of increased slippage and fees Finding the optimal balance between timeframe and slippage impact requires careful consideration of factors such as portfolio size, liquidity of selected tokens, execution speed, and the fee rate of the exchange you execute trades on. Equity Curve and Performance Calculations To provide a benchmark, the script also generates a Buy-and-Hold (or "HODL") equity curve that represents a complete allocation to Bitcoin. This allows users to easily compare the performance of the dynamic rotation system with that more traditional benchmark strategy. The script tracks key performance metrics for both the dynamic portfolio and the HODL strategy, including: Sharpe Ratio The Sharpe Ratio is a key metric that evaluates a portfolio’s risk-adjusted return by comparing its ‘excess’ return to its volatility. Traditionally, the Sharpe Ratio measures returns relative to a risk-free rate. However, in our system’s calculation, we omit the risk-free rate and instead measure returns above a benchmark of 0%. This adjustment provides a more universal comparison, especially in the context of highly volatile assets like cryptocurrencies, where a traditional risk-free benchmark, such as the usual 3-month T-bills, is often irrelevant or too distant from the realities of the crypto market. By using 0% as the baseline, we focus purely on the strategy's ability to generate raw returns in the face of market risk, which makes it easier to compare performance across different strategies or asset classes. In an environment like cryptocurrency, where volatility can be extreme, the importance of relative return against a highly volatile backdrop outweighs comparisons to a risk-free rate that bears little resemblance to the risk profile of digital assets. Sortino Ratio The Sortino Ratio improves upon the Sharpe Ratio by specifically targeting downside risk and leaves the upside potential untouched. In contrast to the Sharpe Ratio (which penalizes both upside and downside volatility), the Sortino Ratio focuses only on negative return deviations. This makes it a more suitable metric for evaluating strategies like the AI x Meme Impulse Tracker - that aim to minimize drawdowns without restricting upside capture. By measuring returns relative to a 0% baseline, the Sortino ratio provides a clearer assessment of how well the system generates gains while avoiding substantial losses in highly volatile markets like crypto. Omega Ratio The Omega Ratio is calculated as the ratio of gains to losses across all return thresholds, providing a more complete view of how the system balances upside and downside risk even compared to the Sortino Ratio. While it achieves a similar outcome to the Sortino Ratio by emphasizing the system's ability to capture gains while limiting losses, it is technically a mathematically superior method. However, we include both the Omega and Sortino ratios in our metric table, as the Sortino Ratio remains more widely recognized and commonly understood by traders and investors of all levels. Usage Summary: While the backtests in this description are generated as if a trader held a portfolio of just the strongest tokens, this was mainly designed as a method of logical verification and not a recommended investment strategy. In practice, this system can be used in multiple ways. It can be used as above, or as a factor in forming part of a broader asset selection system, or even a method of filtering tokens by strength in order to inform a day trader which tokens might be optimal to look for long-only trading setups on an intrabar timeframe. Final Summary: The AI x Meme Impulse Tracker is a powerful algorithm that leverages a unique strength and impulse based approach to asset allocation within high beta token categories. Built with a robust risk management framework, the system’s Equity Curve Activation Filter dynamically manages capital exposure based on the cyclical nature of market trends, minimizing exposure during weaker phases. With highly customizable settings, the Impulse Tracker enables precise capital allocation to only the strongest assets, informed by real-time metrics and rigorous slippage modeling in order to provide the best view of historical profitability. This adaptable design, coupled with advanced performance analytics, makes it a versatile tool for traders seeking an edge in fast moving and volatile crypto markets.
Pine Script® indicator
by QuantraSystems
2
Bullrun Profit Maximizer [QuantraSystems]Bullrun Profit Maximizer Quantra Systems guarantees that the information created and published within this document and on the Tradingview platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors. Important Note! The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script. Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance. This ensures that the system is less likely to degrade in performance over time, compared to hyper optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post backtest. Even More Important Note!! The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing. While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes. Introduction The "Adaptive Pairwise Momentum System" is not a prototype to the Bullrun Profit Maximizer (BPM) . The Bullrun Profit Maximizer is a fully re-engineered, higher frequency momentum system. The Bullrun Profit Maximizer (BPM) uses a completely different filter logic and refines momentum calculations, specifically to support higher frequency trading on Crypto's Blue Chip assets. It correctly calculates fees and slippage by compounding them against System Profit before plotting the equity curve. Unlike prior systems, this script utilizes a completely new filter logic and refined momentum calculation, specifically built to support higher frequency trading on blue-chip assets, while minimizing the impact of fees and slippage. While the APMS focuses on Macro Trend Alignment, the BPM instead applies an equity curve based filter, allowing for targeted precision on the current asset’s trend without relying on broader market conditions. This approach delivers more responsive and asset specific signals, enhancing agility in today’s fast paced crypto markets. The BPM dynamically optimizes capital allocation across up to four high performing assets, ensuring that the portfolio adapts swiftly to changing market conditions. The system logic consists of sophisticated quantitative methods, rapid momentum analysis and alpha cyclicality/seasonality optimizations. The overarching goal is to ensure that the portfolio is always invested in the highest performing asset based on dynamic market conditions, while at the same time managing risk through rapid asset filters and internal mechanisms like alpha cyclicality, volatility and beta analysis. In addition to these core functionalities, the BPM comes with the typical Quantra Systems UI design, structured to reduce data clutter and provide users with only the most essential, impactful information. The BPM UI format delivers clear and easy to read signals. It enables rapid decision making in a high frequency environment without compromising on depth or accuracy. Bespoke Logic Filtering with Equity Curve Precision The BPM script utilizes a completely new methodology and focuses on intraday rotations of blue-chip crypto assets, while previously built systems were designed with a longer term focus in mind. In response to the need for more precise signal generation, the BPM replaces the previous macro trend filter with a new, highly specific equity curve activation filter. This unique logic filter is driven solely by the performance trends of the asset currently held by the system. By analyzing the equity curve directly, this system can make more targeted, timely allocations based on asset specific momentum, allowing for quick adjustments that are more relevant to the held asset rather than general market conditions. The benefits of this new, unique approach are twofold: first, it avoids premature allocation shifts based on broader macro movements, and second, it enables the system to adapt dynamically to the performance of each asset individually. This asset specific filtering allows traders to capitalize on localized strength within individual blue-chip cryptoassets without being affected by lags in the overall market trend. High Frequency Momentum Calculation for Enhanced Flexibility The BPM incorporates a newly designed momentum calculation that increases its suitability across lower timeframes. This new momentum indicator captures and processes more data points within a shorter window than ever before, rather than extending bar intervals and potentially losing high frequency detail. This creates a smooth, data rich featureset that is especially suited for blue-chip assets, where liquidity reduces slippage and fees, making higher frequency trading viable. By retaining more data, this system captures subtle shifts in momentum more effectively than traditional approaches, offering higher resolution insights. These modifications result in a system capable of generating highly responsive signals on faster timeframes, empowering traders to act quickly in volatile markets. User Interface and Enhanced Readability The BPM also features a reimagined, streamlined user interface, making it easier than ever to monitor essential signals at a glance. The new layout minimizes extraneous data points in the tables, leaving only the most actionable information for traders. This cleaner presentation is purpose built to help traders identify the strongest asset in real time, with clear, color coded signals to facilitate swift decision making in fast moving markets. Equity Stats Table : Designed for clarity, the stats table focuses on the current allocation’s performance metrics, emphasizing the most critical metrics without unnecessary clutter. Color Coded Highlights : The interface includes the option to highlight both the current top performing asset, and historical allocations - with indicators of momentum shifts and performance metrics readily accessible. Clear Signals : Visual cues are presented in an enhanced way to improve readability, including simplified line coloring, and improve visualization of the outperforming assets in the allocation table. Dynamic Asset Reallocation The BPM dynamically allocates capital to the strongest performing asset in a selected pool. This system incorporates a re-engineered, pairwise momentum measurement designed to operate at higher frequencies. The system evaluates each asset against others in real time, ensuring only the highest momentum asset receives allocation. This approach keeps the portfolio positioned for maximum efficiency, with an updated weighting logic that favors assets showing both strength and sustainability. Position Changes and Slippage Calculation Position changes are optimized for faster reallocation, with realistic slippage and fee calculations factored into each trade. The system’s structure minimizes the impact of these costs on blue-chip assets, allowing for more active management on short timeframes without incurring significant drag on performance. A Special Note on Fees + Slippage In the image above, the system has been applied to four different timeframes - 12h, 8h, 4h and 1h - using identical settings and a selected slippage and fees amount of 0.2%. In this stress test, we isolate the choppy downwards period from the previous Bitcoin all time high - set in March 2024, to the current date where Bitcoin is currently sitting at around the same level. This illustrates an important concept: starting at the 12h, the system performed better as the timeframes decreased. In fact, only on the 4hr chart did the system equity curve make a new all time high alongside Bitcoin. It is worth noting that market phases that are “non-trending” are generally the least profitable periods to use a momentum/trend system - as most systems will get caught by false momentum and will “buy the top,” and then proceed to “sell the bottom.” Lower timeframes typically offer more data points for the algorithm to compute over, and enable quicker entries and exits within a robust system, often reducing downside risk and compounding gains more effectively - in all market environments. However, slippage, fees, and execution constraints are still limiting factors. Although blue-chip cryptocurrencies are more liquid and can be traded with lower fees compared to low cap assets, frequent trading on lower timeframes incurs cumulative slippage costs. With the BPM system set to a realistic slippage rate of 0.2% per trade, this example emphasizes how even lower fees impact performance as trade frequency increases. Finding the optimal balance between timeframe and slippage impact requires careful consideration of factors such as portfolio size, liquidity of selected tokens, execution speed, and the fee rate of the exchange you execute trades on. Number of Position Changes Understanding the number of position changes in a strategy is critical to assessing its feasibility in real world trading. Frequent position changes can lead to increased costs due to slippage and fees. Monitoring the number of position changes provides insight into the system’s behavior - helping to evaluate how active the strategy is and whether it aligns with the trader's desired time input for position management. Equity Curve and Performance Calculations To provide a benchmark, the script also generates a Buy-and-Hold (or "HODL") equity curve that represents a 100% allocation to Bitcoin, the highest market cap cryptoasset. This allows users to easily compare the performance of the dynamic rotation system with that of a more traditional investment strategy. The script tracks key performance metrics for both the dynamic portfolio and the HODL strategy, including: Sharpe Ratio The Sharpe Ratio is a key metric that evaluates a portfolio’s risk adjusted return by comparing its ‘excess’ return to its volatility. Traditionally, the Sharpe Ratio measures returns relative to a risk-free rate. However, in our system’s calculation, we omit the risk-free rate and instead measure returns above a benchmark of 0%. This adjustment provides a more universal comparison, especially in the context of highly volatile assets like cryptocurrencies, where a traditional risk-free benchmark, such as the usual 3-month T-bills, is often irrelevant or too distant from the realities of the crypto market. By using 0% as the baseline, we focus purely on the strategy's ability to generate raw returns in the face of market risk, which makes it easier to compare performance across different strategies or asset classes. In an environment like cryptocurrency, where volatility can be extreme, the importance of relative return against a highly volatile backdrop outweighs comparisons to a risk-free rate that bears little resemblance to the risk profile of digital assets. Sortino Ratio The Sortino Ratio improves upon the Sharpe Ratio by specifically targeting downside risk and leaves the upside potential untouched. In contrast to the Sharpe Ratio (which penalizes both upside and downside volatility), the Sortino Ratio focuses only on negative return deviations. This makes it a more suitable metric for evaluating strategies like the Bullrun Profit Maximizer - that aim to minimize drawdowns without restricting upside capture. By measuring returns relative to a 0% baseline, the Sortino ratio provides a clearer assessment of how well the system generates gains while avoiding substantial losses in highly volatile markets like crypto. Omega Ratio The Omega Ratio is calculated as the ratio of gains to losses across all return thresholds, providing a more complete view of how the system balances upside and downside risk even compared to the Sortino Ratio. While it achieves a similar outcome to the Sortino Ratio by emphasizing the system's ability to capture gains while limiting losses, it is technically a mathematically superior method. However, we include both the Omega and Sortino ratios in our metric table, as the Sortino Ratio remains more widely recognized and commonly understood by traders and investors of all levels. Usage Summary: While the backtests in this description are generated as if a trader held a portfolio of just the strongest tokens, this was mainly designed as a method of logical verification and not a recommended investment strategy. In practice, this system can be used in multiple ways. It can be used as above, or as a factor in forming part of a broader asset selection tool, or even a method of filtering tokens by strength in order to inform a day trader which tokens might be optimal to look at, for long-only trading setups on an intrabar timeframe. Summary The Bullrun Profit Maximizer is an advanced tool tailored for traders, offering the precision and agility required in today’s markets. With its asset specific equity curve filter, reworked momentum analysis, and streamlined user interface, this system is engineered to maximize gains and minimize risk during bullmarkets, with a strong focus on risk adjusted performance. Its refined approach, focused on high resolution data processing and adaptive reallocation, makes it a powerful choice for traders looking to capture high quality trends on clue-chip assets, no matter the market’s pace.
Pine Script® indicator
by QuantraSystems
Majors Rotation System [BackQuant]Majors Rotation System Introducing BackQuant's Majors Rotation System, a comprehensive portfolio management tool for rotating among the major cryptocurrencies—BTC, ETH, and SOL. This system is designed to optimize returns by selecting the strongest-performing asset while avoiding periods of market weakness. It employs a long and cash-only strategy, meaning the system will only hold positions when market conditions are favorable, and will stay in cash during downtrends. Additionally, it incorporates a powerful regime filter to ensure the system is inactive during market-wide downturns. This script is ideal for crypto traders looking to improve performance by dynamically allocating capital based on real-time performance metrics, rather than relying on a simple buy-and-hold strategy. Key Features Dynamic Asset Rotation: The system constantly evaluates the performance of BTC, ETH, and SOL, selecting the strongest asset based on a ratio matrix. This matrix compares the relative strength of each asset to one another, ensuring that your portfolio is always positioned in the cryptocurrency with the most momentum. Long and Cash-Only Portfolio: This system only takes long positions or remains in cash. By avoiding short positions, it reduces exposure during market downturns. The built-in regime filter ensures the system only operates when the broader market (represented by the TOTAL crypto market cap) is trending up, offering additional protection against unfavorable market conditions. Equity Tracking: The script provides a real-time visualization of portfolio equity compared to a buy-and-hold strategy. It displays the equity curve of the portfolio while allowing you to compare it against the hypothetical equity of holding BTC, ETH, or SOL individually (Buy and Hold). Performance Metrics: In addition to equity visualization, the system provides detailed performance metrics, including: Sharpe Ratio: Measures risk-adjusted returns. Sortino Ratio: Focuses on downside risk. Omega Ratio: Evaluates returns relative to risk. Maximum Drawdown: The maximum observed loss from a peak to a trough. These metrics allow traders to assess the efficiency of the rotation system compared to simply holding assets. Visual Cues: Painted Candles: The script provides a visual trend indicator by painting candles according to the trend of the selected chart, helping traders quickly identify momentum shifts. Support for Multiple Assets: The system allows users to toggle between BTC, ETH, and SOL or view the entire portfolio at once. It displays key metrics for each asset and offers an intuitive way to understand which asset is currently outperforming. Regime Filter: A key aspect of this system is the regime filter, which only allows trading in favorable market conditions. It uses a Universal TPI (Trend Performance Indicator) to evaluate whether the overall crypto market (TOTAL Market Cap) and key assets (BTC, ETH) are in a bullish trend. If the market is in a downtrend, the system will exit positions and move into cash. Customizable Parameters: Users can customize several important aspects of the system: Starting Date: Choose when the backtest or live trading begins. Starting Capital: Set the initial capital for backtesting purposes. Visualization Options: Toggle between base data, ratioed data, and equity plots. Users can also customize the line width and color settings for better chart clarity. Adaptive Momentum Scoring: The system uses advanced indicators, which are not disclosed (proprietary) to assess the trend and momentum of the selected cryptocurrencies dynamically. How the Rotation Works The system uses a universal algorithm to calculate trend and momentum signals for BTC, ETH, and SOL. These signals are processed through a ratio matrix, which compares the performance of each asset against the others. Based on this comparison, the system identifies the strongest asset and allocates capital accordingly. BTC, ETH, and SOL Scores: These scores represent the relative strength of each asset based on the universal algorithm. The system dynamically selects the asset with the highest score, rotating out of underperforming assets and into the top performer. Allocation Decisions: The system determines whether to allocate capital to BTC, ETH, SOL, or Cash based on the scores. If none of the assets show strength, the system defaults to cash to protect the portfolio from market downturns. Equity and Buy-and-Hold Comparisons This script provides a side-by-side comparison of the portfolio’s equity curve and a buy-and-hold strategy: Portfolio Equity: Shows the performance of the system as it rotates between BTC, ETH, and SOL. Buy-and-Hold Equity: Displays how the portfolio would have performed if you simply held BTC, ETH, or SOL without trading. These comparisons allow traders to see how the dynamic rotation system performs relative to a passive holding strategy. Alerts and Visual Feedback The system provides real-time alerts when asset allocations change, notifying traders when the system moves capital between assets or into cash. Additionally, the system offers detailed visual feedback, including: Equity Curve Plots: Displays the equity curve of the portfolio and the individual assets. Score Labels: Shows the strength scores for BTC, ETH, and SOL directly on the chart for easy monitoring. Final Thoughts The Majors Rotation System offers a powerful way to navigate the highly volatile crypto market by rotating between the strongest performing assets and staying in cash when conditions are unfavorable. With its advanced metrics, equity tracking, and built-in regime filter, this system is designed to optimize returns while minimizing risk.
Pine Script® indicator
by BackQuant
Trend Filtered Signals with Confidence LevelThe Trend Filtered Signals with Confidence Level is a powerful technical analysis tool designed for trend-following traders. It provides clear buy and sell signals, enhanced by a unique confidence level indicator, helping traders filter out market noise and focus on higher-probability trades. This indicator is built with advanced trend detection, volatility filtering, and volume confirmation, making it suitable for various markets such as stocks, forex, and cryptocurrencies. Key Features: Precise Trend Detection: The indicator uses the Average Directional Index (ADX) to measure the strength of the trend, only generating signals when the trend is strong enough (above a user-defined threshold). This prevents false signals during sideways markets and ensures the system follows meaningful trends. Buy and Sell Signals: Buy signals are generated when the price crosses above the fast moving average, and the market is in a strong uptrend based on ADX and other filters. Conversely, sell signals are created when the price crosses below the fast moving average in a strong downtrend. These signals appear directly on the chart with visual markers, making them easy to spot in real-time trading. Confidence Level for Signals: Each buy and sell signal is given a confidence percentage, calculated from multiple factors: The strength of the trend (ADX). The price’s relationship to moving averages (fast MA and slow MA). The current trading volume compared to its moving average. The distance between the price and the moving averages, which is checked against the ATR (Average True Range). A higher confidence percentage indicates a stronger, more reliable signal. Traders can choose to act only on signals that meet or exceed their preferred confidence level. ATR-Based Volatility Filtering: To avoid over-trading or receiving signals that are too close together, the ATR (Average True Range) is used as a volatility filter. This ensures that the signals are spaced out, and traders only receive alerts when the price has moved a meaningful distance, considering market volatility. Volume Confirmation: Volume plays a crucial role in signal accuracy. The indicator compares the current volume to its moving average, ensuring that signals are generated only when there is sufficient market participation. This feature helps traders avoid signals during low-volume or illiquid market conditions. Exit Alerts for Trend Reversals: The indicator doesn’t just help you enter trades; it also assists with exits. When the trend shows signs of weakening or reversing (such as price crossing back over the moving average or losing ADX strength), the indicator will issue an exit alert, helping traders lock in profits or minimize losses. How to Use the Indicator: Choosing Timeframes: The Trend Filtered Signals with Confidence Level works on multiple timeframes. For intraday traders, it can be applied on 5-minute or 15-minute charts. Swing traders might prefer the 1-hour or daily timeframe to capture longer-term trends. Adjust the inputs based on the volatility of the asset you're trading and the timeframe. Customizing Inputs: ADX Length: Defines the length for calculating ADX. A typical setting is 14, but this can be adjusted based on how quickly or slowly you want the indicator to react to changes in trend strength. ADX Threshold: Set this value to filter out weak trends. The default is 20, but for stronger trend signals, a threshold of 25 or 30 may be more suitable. ATR Length & Multiplier: Used to calculate the average true range, helping to filter out signals that are too close to each other. The ATR multiplier increases the signal’s precision in volatile markets. Fast and Slow Moving Averages: These moving averages help define the short- and long-term trend. The default fast MA is 9, and the slow MA is 21, but traders can adjust these based on their strategy. Volume MA: Defines the length of the moving average applied to volume. A longer setting may be more appropriate for swing trading, while a shorter setting can work better for day trading. Interpreting the Confidence Percentage: Signals with a confidence level above 50% are generally considered reliable. However, traders can choose to filter trades based on their risk tolerance by only acting on signals above a certain confidence level (e.g., 70% or higher for conservative traders). Use the confidence percentage as a guide to increase the likelihood of entering higher-probability trades. Signal Alerts: The indicator provides customizable alerts for both buy and sell signals. It also generates alerts when it's time to exit a position due to weakening trend conditions. Alerts can be set up through TradingView’s alert system to notify you via mobile, email, or browser pop-up, so you never miss an opportunity. Managing Entries and Exits: Combine the buy and sell signals with the confidence level to time entries more effectively. After entering a position, keep an eye on the exit signals generated by the indicator to manage your trades. For trend-following strategies, stay in the trade as long as the indicator shows a strong trend. When the confidence level drops significantly, or the exit alert triggers, it may be time to close the trade. Inputs Overview: ADX Length: Default 14, for trend strength. ADX Threshold: Default 20, minimum trend strength for signal generation. ATR Length & Multiplier: Adjust for volatility filtering. Fast MA & Slow MA Lengths: Define the short-term and long-term trend. Volume MA Length: Confirm signals with volume strength. Minimum Signal Distance: Prevents excessive signal clustering. Conclusion: The Trend Filtered Signals with Confidence Level indicator by Danytradehit is a comprehensive tool that not only identifies trends and trend reversals but also helps you gauge the reliability of each signal through a confidence percentage. It simplifies decision-making for traders by filtering out weak or low-probability trades, ensuring you only act on the most promising market opportunities. This indicator is highly customizable and works across various timeframes and asset classes.
Pine Script® indicator
by Algo_Systems
SOL & BTC EMA with BTC/SOL Price Difference % and BTC Dom EMAThis script is designed to provide traders with a comprehensive analysis of Solana (SOL) and Bitcoin (BTC) by incorporating Exponential Moving Averages (EMAs) and price difference percentages. It also includes the BTC Dominance EMA to offer insights into the overall market dominance of Bitcoin. Features: SOL EMA: Plots the Exponential Moving Average (EMA) for Solana (SOL) based on a customizable period length. BTC EMA: Plots the Exponential Moving Average (EMA) for Bitcoin (BTC) based on a customizable period length. BTC Dominance EMA: Plots the Exponential Moving Average (EMA) for BTC Dominance, which helps in understanding Bitcoin's market share relative to other cryptocurrencies. BTC/SOL Price Difference %: Calculates and plots the percentage difference between BTC and SOL prices, adjusted for their respective EMAs. This helps in identifying relative strength or weakness between the two assets. Background Highlight: Colors the background to visually indicate whether the BTC/SOL price difference percentage is positive (green) or negative (red), aiding in quick decision-making. Inputs: SOL Ticker: Symbol for Solana (default: BINANCE ). BTC Ticker: Symbol for Bitcoin (default: BINANCE ). BTC Dominance Ticker: Symbol for Bitcoin Dominance (default: CRYPTOCAP .D). EMA Length: The length of the EMA (default: 20 periods). Usage: This script is intended for traders looking to analyze the relationship between SOL and BTC, using EMAs to smooth out price data and highlight trends. The BTC/SOL price difference percentage can help traders identify potential trading opportunities based on the relative movements of SOL and BTC. Note: Leverage trading involves significant risk and may not be suitable for all investors. Ensure you have a good understanding of the market conditions and employ proper risk management techniques.
Pine Script® indicator
by renegadewood3
RSI Crypto Average W/AnalysisThis is an indicator designed to find the limits and stricture of an array of different crypto coins. It finds the average Relative Strength Index (RSI) across 20 different crypto coins and then plots the average. This also uses arrays and averages across the coins to output the number of bars the RSI usually stays above or below the specified bands. Using this information you can predict when the RSI is about to start loosing momentum or even crash. Cryptos included in the average: Bitcoin (BTC) Ethereum (ETH) Ripple (XRP) Binance Coin (BNB) Cardano (ADA) Solana (SOL) Polkadot (DOT) Dogecoin (DOGE) Uniswap (UNI) Avalanche (AVAX) Terra (LUNA) Chainlink (LINK) Bitcoin Cash (BCH) Ethereum Classic (ETC) Filecoin (FIL) Stellar (XLM) TRON (TRX) EOS (EOS) Cosmos (ATOM) Tezos (XTZ)
Pine Script® indicator
by Future_2x
Fear and Greed Index (Crypto & Stock)The Fear and Greed Index utilizes various metrics to gauge the overall sentiment of the stock and crypto market. It's divided into two categories: Extreme Fear (0-25) -> Red background Extreme Greed (75-100) -> Green background When the index is in the Extreme Fear zone, the indicator background changes to red, while in the Extreme Greed zone, it changes to green. The blue line represents the Fear and Greed Index for the overall stock or crypto market. The index automatically switches between the crypto and stock depending on the active chart, providing insights into both markets. The histogram represents Price Momentum for the current active symbol on the chart. How is the Crypto Fear and Greed Index calculated? The index is calculated using three factors including momentum of stable coin (safe haven), momentum of major coins, and the balance of unique addresses holding the major coins. The index tracks how much these individual indicators deviate from their averages compared to how much they normally diverge. The index gives each factor equal weighting in calculating a score from 0 to 100, with 100 representing maximum greediness and 0 signaling maximum fear. The main factors used in the calculation are: 1. Momentum of Stable Coins The index calculates the momentum of three major stable coins, including USDT, USDC and DAI. The index looks at the stable coins’ levels compared to where they’ve been over the past two months. When the stable coin is below its moving average of the prior 60 trading days, that’s a sign of positive momentum. But if the index is above this average, it shows investors are getting skittish. The Fear & Greed Index uses the growing momentum of stable coin as a signal for Fear and a slowing momentum for Greed. During a market sell-off, investors may anticipate a decline in the value of their cryptocurrency investments and may transition into stable coins as a safe haven. This is because stable coins are designed to maintain a stable value, often pegged to a fiat currency like the US Dollar. By analyzing the overall trend of stable coins' movement, the index can help determine whether the market sentiment leans towards greed or fear. If stable coins are experiencing a significant increase in momentum, it may suggest that investors are moving away from riskier assets (like cryptocurrencies) and into safer assets (like stable coins), indicating a fear-driven market sentiment. Conversely, if stable coins are experiencing a decrease in momentum, it may suggest that investors are more confident in the market and are less concerned about potential declines in the value of their cryptocurrency investments, indicating a greed-driven market sentiment. 2. Momentum of major coins The index calculates the momentum of 16 major cryptocurrencies, including Bitcoin, Ethereum, and BNB. This index assesses the overall trend of these cryptocurrencies' movement, which can provide insights into market sentiment. The index checks how many coins are doing well versus those that are struggling. This shows the number of coins on the market at 2-months highs compared to those at 2-months lows. When there are many more highs than lows, that’s a bullish sign and signals Greed. By analyzing the momentum of these 16 major cryptocurrencies, the index can help determine whether there's more bullish or bearish sentiment prevailing in the market over the given period. If the overall momentum is positive, it may suggest that investors are more optimistic about the market, leading to increased buying activity and higher prices. Conversely, if the overall momentum is negative, it may suggest that investors are more pessimistic about the market, leading to increased selling activity and lower prices. 3. Balance of unique addresses holding major coins The index is tracking the number of unique addresses holding Bitcoin and Ethereum. This measure looks at the amount of investors holding Bitcoin or Ethereum and compares the amount to its 2-month moving average. The logic behind this assessment is that when there are more unique addresses holding Bitcoin and Ethereum, it suggests that more individuals are interested in holding these cryptocurrencies, which may indicate bullish sentiment. Conversely, when there are fewer unique addresses holding Bitcoin and Ethereum, it suggests that fewer individuals are interested in holding these cryptocurrencies, which may indicate bearish sentiment. How is the Stock Fear and Greed Index calculated? The Stock Fear & Greed Index is a compilation of two indicators that measure some aspect of stock market behavior. They are market momentum and stock price strength. The Stock Fear & Greed Index calculates how much these individual indicators deviate from their averages and compares this divergence to their typical variations. Both indicators receive equal weighting in calculating a score ranging from 0 to 100. A score of 100 indicates maximum greediness, suggesting that market momentum and stock prices are significantly above their historical averages. Conversely, a score of 0 signals maximum fear, indicating that market momentum and stock prices are significantly below their historical averages. 1. Market Momentum The Stock Fear & Greed index looks at stock market levels compared to where they’ve been over the past few months. When the S&P 500, DJI and NASDAQ is above its moving average of the prior 180 trading days, that’s a sign of positive momentum. But if the index is below this average, it shows investors are getting skittish. The Fear & Greed Index uses slowing momentum as a signal for Fear and a growing momentum for Greed. 2. Momentum of major stocks The index calculates momentum by analyzing the price levels of major stocks relative to their moving averages over the past six months. When a stock's price is above its moving average of the prior 180 trading days, it indicates positive momentum. Conversely, if the stock's price is below this moving average, it suggests that investors are becoming skittish, or there is a loss of momentum. How to use the Fear and Greed Index? The Fear & Greed Index ranges from 0 to 100, a reading of 0-25 indicates extreme fear, while a reading of 75-100 indicates extreme greed. The index can help investors and traders identify market trends and potential turning points. By understanding the sentiment of the market, investors can avoid making decisions based on emotions and biases. When the Fear and Greed Index is at an extreme level of fear (0-25), it can indicate that investors are overly worried and selling their assets out of fear. This could present a buying opportunity for investors who believe in the long-term potential of the market. Conversely, when the Fear and Greed Index is at an extreme level of greed (75-100), it can indicate that investors are overly optimistic and buying assets out of greed. This could be a sign that the market is due for a correction. How is the Price Momentum (Histogram) calculated? Momentum focuses on the rate of change in stock prices over a specific period. It assesses how quickly prices are moving in a particular direction, whether upward or downward. A momentum value above 50 indicates that prices are fueled by strength to move upward. This suggests that buying pressure is dominant in the market, driving prices higher. Conversely, a momentum value below 50 indicates that prices are fueled by strength moving downward. This suggests that selling pressure is dominant, pushing prices lower. Our momentum indicator can help investors identify trends and potential turning points in the market. Rising momentum values may indicate an upward trend, while declining momentum values may suggest a weakening trend or a potential reversal. Extreme momentum values may indicate overbought or oversold conditions in the market. Overbought conditions occur when momentum values are excessively high, suggesting that prices may be due for a correction. Conversely, oversold conditions occur when momentum values are excessively low, indicating potential buying opportunities. How to use our Fear & Greed Indicator Using price momentum and the Fear and Greed Index together can provide valuable confirmation signals for investors in the stock or crypto market. Here's how you can use them together: Identify Trends: Start by identifying the overall trend in the market using price momentum. Rising momentum values often indicate an uptrend, while declining momentum values suggest a downtrend. Monitor Fear and Greed Index: Simultaneously, monitor the Fear and Greed Index to gauge market sentiment. In an uptrend, high readings on the Fear and Greed Index (75-100) may indicate excessive greed among investors, potentially signaling that the uptrend is becoming overextended and due for a correction. Conversely, in a downtrend, low readings on the Fear and Greed Index (0-25) may indicate extreme fear, potentially signaling capitulation and a possible reversal. Look for Confirmation Signals: Look for confirmation signals between price momentum and the Fear and Greed Index. For example: In an uptrend, if momentum is declining while the Fear and Greed Index is at a high level, it may suggest weakening buying pressure and potential exhaustion in the uptrend. In a downtrend, if momentum is reducing while the Fear and Greed Index is at a low level, it may indicate that selling pressure is subsiding, potentially signaling a reversal in the downtrend.
Pine Script® indicator
by theartofinvest
6
BitBell - EMA PullBack RSI EXO 🔵 Introduction Version 1.1 This is a Pine 5 trend following strategy. It has a four strategy with several alerts and signals. The design intent is to produce a commercial grade signal generator that can be adapted to any symbol in cryptocurrency and only 1H Chart. Ideally, the script is reliable enough to be the basis of an automated trading system web-hooked to a server with API access to crypto brokerages. The strategy can be run in three different modes: long, short and bidirectional. As a trend following strategy, the behavior of the script is to buy on strength and sell on weakness. As such the trade orders maintain its directional bias according to price pressure. What you will see on the chart is long positions on the left side of the mountain and short on the right. Long and short positions are not intermingled as long as there exists a detectable trend. This is extremely beneficial feature in long running bull or bear markets. The script uses multiple setups to avoid the situation where you got in on the trend, took a small profit but couldn’t get back in because the logic is waiting for a pullback or some other intricate condition. Deep draw-downs are a characteristic of trend following systems and this system is no different. However, this script makes use of the TradingView pyramid feature with three NPUs to find better place and even you can change drop percentage in settings for another trigger, accessible from the properties tab. When trend market break it will stop the trade and usually it takes 2-4 percent loss but don't worry it has prefect money management and you can use it for Futures market and even Spot market. 🔵 Design This script uses twelve indicators on two time frames. The chart (primary) interval and one higher time frame which is based on the primary. The higher time frame identifies the trend for which the primary will trade. I’ve tried to keep the higher time frame around five times greater than the primary. The original trading algorithms are a port from a much larger program on another trading platform. I’ve converted some of the statistical functions to use standard indicators available on TradingView. The setups make heavy use of the Hull Moving Average in conjunction with EMAs that form the Bill Williams Alligator as described in his book “New Trading Dimensions” Chapter 3. Lag between the Hull and the EMAs form the basis of the entry and exit points. The alligator itself is used to identify the trend main body. The entire script is around 740 lines of Pine code which is the maximum incidental size given the TradingView limits: local scopes, run-time duration and compile time. I’ve been working on this script for over a year and have tested it on various instruments stock crypto. It performs well on higher liquidity markets that have at least a year of historical data. Though it can be configured to work on any interval between 15 minutes and 4 hour, trend trading is generally a longer term paradigm. For day trading the 10 to 15 minute interval will allow you to catch momentum breakouts. For intraweek trades 30 minutes to 1 hour should give you a trade every other a day. Inputs to the script use cone centric measurements in effort to avoid exposing adjustments to the various internal indicators. The goal was to keep the inputs relevant to the actual trade entry and exit locations as opposed to a series of MA input values and the like. As a result the strategy exposes over 12 inputs grouped into long or short sections. Inputs are available for the usual minimum profit and stop-loss as well as trade, modes, presets, reports and lots of calibrations. The inputs are numerous, I’m aware. Unfortunately, at this time, TradingView does not offer any other method to get data in the script. The usual initialization files such as cnf, cfg, ini, json and xml files are currently unsupported. Example configurations for various instruments along with a detailed PDF user manual is available. it has no repaint i guaranty this, and you can have 10 days free with comment and check it by yourself One issue that comes up when comparing the strategy with the study is that the strategy trades show on the chart one bar later than the study. This problem is due to the fact that “strategy.entry()” and “strategy_close()” do not execute on the same bar called. The study, on the other hand, has no such limitation since there are no position routines. However, alerts that are subsequently fired off when triggered in the study are dispatched from the TradingView servers one bar later from the study plot. Therefore the alert you actually receive on your cell phone matches the strategy plot but is one bar later than the study plot. Please be aware that the data source matters. Cryptocurrency has no central tick repository so each exchange supplies TradingView its feed. Even though it is the same symbol the quality of the data and subsequently the bars that are supplied to the chart varies with the exchange. This script will absolutely produce different results on different data feeds of the same symbol. Be sure to backtest this script on the same data you intend to receive alerts for. Any example settings I share with you will always have the exchange name used to generate the test results. 🟡 Usage It sends long and short signals with pyramid orders of up to 3, meaning that the strategy can trigger up to 3 orders in the same direction. Good risk and money management. It's important to note that the strategy combines 2 systems working together (Long and LongX). Let’s describe the specific features of this strategy. 🔵 If Findes Supports And Ressitances And Trend Lines As Best As It Can, And You Can See: 🟢 Frist Simple Long Condition = It Look At The Trend Wait For RSI Cross 30 Number Then Ckeck Risk To Reward, check something else such as divergence: 🟢 Another Long Example: 🔴 Frist Simple Short Condition = It Look At The Trend Wait For RSI Cross 70 Number Then Ckeck Risk To Reward, check something else such as divergence: 🔴 Another Short Example: The following steps provide a very brief set of instructions that will get you started but will most certainly not produce the best backtest. A trading system that you are willing to risk your hard earned capital will require a well crafted configuration that involves time, expertise and clearly defined goals. As previously mentioned, I have several example configs that I use for my own trading that I can share with you along with a PDF which describes each input in detail. To get hands on experience in setting up your own symbol from scratch please follow the steps below. The input dialog box contains over 12 inputs, There are four options must to be configured: Choose Target, side, Choose Settings, Money Management,and settings that apply to both. The following steps address these four main options only. Money Management System For Leverage 10: Bot Finds Last Lower Low And Calculate Distance From Entry Price, Then Cross It To Initial Capitan And Cross Leverage => Position_Size = (((1.64) * (initial Capital)) * (leverage)) And Check Dominances Too For Getting Best Money Management Result 🔵 Settings * Side, You Can Set Long Or Short Or Both. * Choose Target, You Can Set One Target Or All Targets. * Money Management, You Can ON Or OFF It, With OFF You Can USE It For SPOT Trades. * Choose Settings, In This Field You Can Set Mathematical Optimization, Ddepends On Which Pair You USE. * Clear With Daily PullBack?, With This Check Box You Can Clear Signals With Daily PullBack. * Long X, You Can Set Long Leverage. * Short X, You Can Set Short Leverage. * Second Order X, You Can Set Pyramiding Leverage. * Target Long, You Can Set Percent For Long Target. * Target Short, You Can Set Percent For Short Target. * Short Martin Percent, You Can Set Short Martingale Percent. * Long Martin Percent, You Can Set Long Martingale Percent. 🟡 Pyraming 3 🟡 Commission Is 0.065 % 🟡 Slippage Is 10 ticks 🔴Only Use For 1 Hour Chart 🔴 CONCLUSION We believe that success lies in the association of the user with the indicator, opposed to many traders who have the perspective that the indicator itself can make them become profitable. The reality is much more complicated than that. The aim is to provide an indicator comprehensive, customizable, and intuitive enough that any trader can be led to understand this truth and develop an actionable perspective of technical indicators as support tools for decision making. 🔴 RISK DISCLAIMER Trading is risky & most day traders lose money. All content, tools, scripts, articles, & education provided by BitBell are purely for informational & educational purposes only. Past performance does not guarantee future results.
Pine Script® strategy
by BitBell
3
Altcoin ComparatorUse this indicator to compare an altcoin's ratio compared to Bitcoin (orange), the general altcoin market (blue), and the entire cryptocurrency market cap (yellow). Bright colors indicate the altcoin is outperforming the crypto market while dull colors in imply it is under-performing. Likewise, staying in the green implies sustained outperformance while staying in the red implies sustained under-perfrmance. Oversold values imply the altcoin is expensive while overbought imply it is cheap. Be sure to use market caps: ETH, SOL, ADA, etc. not ETHUSD, SOLUSDT, etc.
Pine Script® indicator
by Austimize
DCA EMA Simple Bot [Starbots] This is a simple idea of DCA trading on EMA crosses. Strategy is not repainting. The difference between this and any other strategy is, that this script allows you to preset DCA buy triggers at desired levels and customize each DCA order size independently. Alerts are working, this strategy is easily used for automatic trading. I mainly trade on Cryptohopper, Pionex, 3commas. This was created for community, alerts are working and non-repainting. Should work on any other as well. Trading Condition: It's buying when Fast EMA crosses up Slow EMA. Set your paramters. It's selling if EMA's crosses back, signaling a sell. Optional. DCA: You can enter DCA on 20 custom levels or layers. It buys DCA when price hits the plotted blue line on the chart that's set by input % triggers. (buy 1st DCA at 2% drop, buy 2nd DCA at 5% drop,...) Set your Inital Capital and Pyramiding in Properties tab, Initial Order Size and DCA Order Size (lot1,lot2,lot3,..), Order Type are changed in strategy inputs. -By default you can see that we buy when EMA's cross up and signal a buy for 10% of equity, if market is dropping you will then place a first DCA order ( 20% equity) at 2% drop (lower) from initial order. If market keeps dropping you have more DCA levels where you can buy and average down your holding position. For selling you can use Take profit and Stop Loss targets that averages down multiple open positions, it will sell it once it reaches your desirable Take Profit and close a deal. You can also close your trade if EMA signals a sell. Pyramiding - number of orders you can open at a time Your first buy order is pyramiding 1. To allow it to buy 1 DCA or merge one time, set pyramding to 2. Want to DCA 10 times? Set pyramiding at 11. (+1 always) More features: - Profit Calendar - Show Balance label before every new trade - DCA table - visualize how much of your investment is used in trades. If a background of the table is green you are okay, if the background color is red - you are using more money for orders than you actually have. Buy Orders << Strategy Equity/Capital - Show / Hide DCA lines - if your chart processing is getting slow you should hide some DCA levels to speed it up - Backtesting Range - for testing the strategy in different time windows - Alerts When all trades are closed on your chart, winning rate of the strategy is 100% actually. Win rate is shown differently as it's actually closing and opening every trade individually by default in TradingView system. We merge positions together and average it down into one big position to later sell for a profit (DCA). You use this Trading Algorithm at your own risk. Do not trade before testing or invest something you cannot afford to lose on markets.
Pine Script® strategy
by Starbots
4
Correlation Trading StrategyEnglish description: Title: Correlation Trading Strategy (CTS) The Correlation Trading Strategy (CTS) is a unique approach that uses the Pearson correlation coefficient to identify potential trading opportunities between two cryptocurrency pairs. The strategy compares historical price data of two selected cryptocurrencies and calculates the degree of correlation between them. Inputs: Lookback Period: The time interval for calculating correlation (e.g., 30, 60, 90 days). Timeframe Period: The timeframe for the historical price data (e.g., '5'). First Symbol: The first cryptocurrency symbol to compare (e.g., BTCUSD). Second Symbol: The second cryptocurrency symbol to compare (e.g., ETHUSD). Enter Long Threshold: The correlation threshold for entering a long position. Exit Long Threshold: The correlation threshold for exiting a long position. The strategy enters a long position when the correlation coefficient is equal to or higher than the Enter Long Threshold and exits the position when the correlation coefficient falls below the Exit Long Threshold. The Pearson correlation coefficient ranges from -1 (perfectly negatively correlated) to 1 (perfectly positively correlated), with 0 indicating no correlation. By adjusting the thresholds, traders can customize the strategy to suit their risk appetite and trading style. Russian description: Заголовок: Торговая стратегия на основе корреляции (CTS) Торговая стратегия на основе корреляции (CTS) представляет собой уникальный подход, использующий коэффициент корреляции Пирсона для выявления потенциальных торговых возможностей между двумя парными криптовалютами. Стратегия сравнивает исторические данные о ценах двух выбранных криптовалют и рассчитывает степень корреляции между ними. Входные параметры: Период анализа: временной интервал для расчета корреляции (например, 30, 60, 90 дней). Временной период: временной период для исторических данных о ценах (например, '5'). Первый символ: первый символ криптовалюты для сравнения (например, BTCUSD). Второй символ: второй символ криптовалюты для сравнения (например, ETHUSD). Порог для открытия длинной позиции: порог корреляции для открытия длинной позиции. Порог для закрытия длинной позиции: порог корреляции для закрытия длинной позиции. Стратегия открывает длинную позицию, когда коэффициент корреляции равен или выше порога для открытия длинной позиции, и закрывает позицию, когда коэффициент корреляции опускается ниже порога для закрытия длинной позиции
Pine Script® strategy
by Sergei3939
5
Futures SignalThis is a Futures Signal Indictor works using support & resistance and market trend, it is designed for all type of markets (crypto, forex, stock etc.) and works on all commonly used timeframes (preferably on 5 Min, 15 Min Candles). How it works Futures Signal Indictor : Core logic behind this indicator is to finding the Support and Resistance , we find the Lower High (LH) and Higher Low (HL) to find the from where the price reversed (bounced back) and also we use a custom logic for figuring out the peak price in the last few candles. Based on the multiple previous Support and Resistance (HH, HL, LL LH) we calculate a price level, this price level is used a major a factor for entering the trade. Once we have the price level we check if the current price crosses that price level, if it crossed then we consider that as a long/short entry (based on whether it crosses resistance or support line that we calculated). Once we have pre long/short signals we further filter it based on the market trend to prevent too early/late signals. Along with this if we don't see a clear trend we do the filtering by checking how many support or resistance level the price has bounced off: Stop Loss and Take Profit: We have also added printing SL and TP levels on the chart to make the it easier for everyone to find the SL/TP values. Script calculates the SL value by checking the previous support level for LONG trade and previous resistance level for SHORT trades. Take profit are calculated in 0.5 ratio as of now. Long: To open a trade in the direction of market rise Short: To open a trade in the direction of market decline Entry Price: Signal entry price TP: Points where you can place a target Stop: The point at which the deal is closed.
Pine Script® indicator
by futures-signal
Futures SignalThis is a Futures Signal Indictor works using support & resistance and market trend, it is designed for all type of markets (crypto, forex, stock etc.) and works on all commonly used timeframes (preferably on 5 Min, 15 Min Candles). How it works Futures Signal Indictor : Core logic behind this indicator is to finding the Support and Resistance , we find the Lower High (LH) and Higher Low (HL) to find the from where the price reversed (bounced back) and also we use a custom logic for figuring out the peak price in the last few candles. Based on the multiple previous Support and Resistance (HH, HL, LL LH) we calculate a price level, this price level is used a major a factor for entering the trade. Once we have the price level we check if the current price crosses that price level, if it crossed then we consider that as a long/short entry (based on whether it crosses resistance or support line that we calculated). Once we have pre long/short signals we further filter it based on the market trend to prevent too early/late signals. Along with this if we don't see a clear trend we do the filtering by checking how many support or resistance level the price has bounced off. Stop Loss and Take Profit: We have also added printing SL and TP levels on the chart to make the it easier for everyone to find the SL/TP values. Script calculates the SL value by checking the previous support level for LONG trade and previous resistance level for SHORT trades. Take profit are calculated in 0.5 ratio as of now.
Pine Script® indicator
by mrbtc-trade
59
CHN BUY SELLCHN BUY SELL is formed from two RSI indicators, those are RSI 14 and RSI 7 . I use RSI 14 to determine the trend and RSI 7 to find entry points. + Long (BUY) Signal: - RSI 14 will give a "BUY" signal, then RSI 7 will give entry point to LONG when the candle turns yellow. + Short (SELL) Signal: - RSI 14 will give a "EXIT" signal, then RSI 7 will give entry point to SHORT when the candle turns purple. + About Take Profit and Stop Loss: - With Gold, I usually set Stop Loss and Take Profit at 50 pips - With currency pairs, I usually keep my Stop Loss and Take Profit at 30 pips - With crypto, I usually keep Stop Loss and Take Profit at 1.5% Recommended to use in time frame M15 and above . This method can be used to trade Forex, Gold and Crypto. My idea is formed on the view that when the price is moving strongly, the RSI 14 will tell us what the current trend is through a "BUY" or "EXIT" signal. When RSI 14 reaches the oversold area it will form a "BUY" signal and when it reaches the overbought area it will give an "EXIT" signal. I believe that when the price reaches the oversold or overbought area, the price momentum has also decreased and is about to reverse. After receiving a signal from RSI 14, my job is to wait for an Entry signal from RSI 7. When RSI 7 reaches the overbought area, a yellow candle will appear and that's when we enter a LONG order. When the RSI 7 reaches the oversold area, a purple candle will appear and that's when we enter a SHORT order.
Pine Script® indicator
by CHN_indicator
9
Oversold RSI with Tight Stop-Loss Strategy (by Coinrule)KRAKEN:LINKUSD This is one of the best strategies that can be used to get familiar with technical indicators and start to include them in your rules on Coinrule . ENTRY 1. This trading system uses the RSI (Relative Strength Index) to anticipate good points to enter positions. RSI is a technical indicator frequently used in trading. It works by measuring the speed and change of price movements to determine whether a coin is oversold (indicating a good entry point) or overbought (indicating a point of exit/entry for a short position). The RSI oscillates between 0 and 100 and is traditionally considered overbought when over 70 and oversold when below 30. 2. To pick the right moment to buy, the strategy enters a trade when the RSI falls below 30 indicating the coin is oversold and primed for a trend reversal. EXIT The strategy then exits the position when the price appreciates 7% from the point of entry. The position also maintains a tight stop-loss and closes the position if the price depreciates 1% from the entry price. The idea behind this is to cut your losing trades fast and let your winners ride. The best time frame for this strategy based on our back testing data is the daily. Shorter time frames can also work well on certain coins, however in our experience, the daily works best. Feel free to experiment with this script and test it on a variety of your coins! With our back testing data a trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume. In the example shown, this strategy made a handsome net profit of 52.6% on Chainlink with 66.67% of trades being profitable. You can execute this strategy on your favorite exchanges with Coinrule .
Pine Script® strategy
by Coinrule