ابدأ الآن

متذبذبات

Predicted Funding RatesOverview The Predicted Funding Rates indicator calculates real-time funding rate estimates for perpetual futures contracts on Binance. It uses triangular weighting algorithms on multiple different timeframes to ensure an accurate prediction. Funding rates are periodic payments between long and short position holders in perpetual futures markets If positive, longs pay shorts (usually bullish) If negative, shorts pay longs (usually bearish) This is a prediction. Actual funding rates depend on the instantaneous premium index, derived from bid/ask impacts of futures. So whilst it may imitate it similarly, it won't be completely accurate. This only applies currently to Binance funding rates, as HyperLiquid premium data isn't available. Other Exchanges may be added if their premium data is uploaded. Methods Method 1: Collects premium 1-minunute data using triangular weighing over 8 hours. This granular method fills in predicted funding for 4h and less recent data Method 2: Multi-time frame approach. Daily uses 1 hour data in the calculation, 4h + timeframes use 15M data. This dynamic method fills in higher timeframes and parts where there's unavailable premium data on the 1min. How it works 1) Premium data is collected across multiple timeframes (depending on the timeframe) 2) Triangular weighing is applied to emphasize recent data points linearly Tri_Weighing = (data *1 + data *2 + data *3 + data *4) / (1+2+3+4) 3) Finally, the funding rate is calculated FundingRate = Premium + clamp(interest rate - Premium, -0.05, 0.05) where the interest rate is 0.01% as per Binance Triangular weighting is calculated on collected premium data, where recent data receives progressively higher weight (1, 2, 3, 4...). This linear weighting scheme provides responsiveness to recent market conditions while maintaining stability, similar to an exponential moving average but with predictable, linear characteristics A visual representation: Data points: ──────────────> Weights: 1 2 3 4 5 Importance: ▂ ▃ ▅ ▆ █ How to use it For futures traders: If funding is trending up, the market can be interpreted as being in a bull market If trending down, the market can be interpreted as being in a bear market Even used simply, it allows you to gauge roughly how well the market is performing per funding. It can basically be gauged as a sentiment indicator too For funding rate traders: If funding is up, it can indicate a long on implied APR values If funding is down, it can indicate a short on implied APR values It also includes an underlying APR, which is the annualized funding rate. For Binance, it is current funding * (24/8) * 365 For Position Traders: Monitor predicted funding rates before entering large positions. Extremely high positive rates (>0.05% for 8-hour periods) suggest overleveraged longs and potential reversal risk. Conversely, extreme negative rates indicate shorts dominance Table: Funding rate: Gives the predicted funding rate as a percentage Current premium: Displays the current premium (difference between perpetual futures price and the underlying spot) as a percentage Funding period: You can choose between 1 hour funding (HyperLiquid usually) and 8 hour funding (Binance) APR: Underlying annualized funding rate What makes it original Whilst some predicted funding scripts exist, some aren't as accurate or have gaps in data. And seeing as funding values are generally missing from TV tickers, this gives traders accessibility to the script when they would have to use other platforms Notes Currently only compatible with symbols that have Binance USDT premium indices Optimal accuracy is found on timeframes that are 4H or less. On higher timeframes, the accuracy drops off Actual funding rates may differ Inputs Funding Period: Choose between "8 Hour" (standard Binance cycle) or "1 Hour" (divides the 8-hour rate by 8 for granular comparison) Plot Type: Display as "Funding Rate" (percentage per interval) or "APR" (annualized rate calculated as 8-hour rate × 3 × 365) Table: Toggle the information table showing current funding rate, premium, funding period, and APR in the top-right corner Positive Colour: Sets the colour for positive funding rates where longs pay shorts (default: #00ffbb turquoise) Negative Colour: Sets the colour for negative funding rates where shorts pay longs (default: red) Table Background: Controls the background colour and transparency of the information table (default: transparent dark blue) Table Text Colour: Sets the colour for all text labels in the information table (default: white) Table Text Size: Controls font size with options from Tiny to Huge, with Small as the default balance of readability and space
مؤشر Pine Script®
من ‎stormeta‎
3
Normalized WMA Oscillator | OquantNormalized WMA Oscillator | Oquant The Normalized WMA Oscillator is a trend-momentum indicator designed to help traders visualize the relative position of a Weighted Moving Average (WMA) within its recent price range. What is a WMA and How It Works: A Weighted Moving Average (WMA) is a type of moving average that gives more weight to recent price data, making it more responsive to price changes compared to a simple moving average. Each price point in the lookback period is multiplied by a weighting factor, with the most recent prices having the highest weights. The WMA helps traders identify potential trends more quickly. This indicator applies min-max normalization to the standard WMA, scaling its values between 0 and 1 over a configurable lookback period. This allows traders to see whether the WMA is near its recent highs, lows, or midpoint, regardless of the absolute price level. Key Features: WMA Source Input: Choose price source for wma calculation. Customizable WMA Length: Adjust the sensitivity of the WMA. Min-Max Normalization Length: Smooth the scaling of WMA values between 0 and 1. Signal Thresholds: Configurable upper and lower thresholds to indicate potential entries. Visual Alerts: Color-coded oscillator and candles plot for bullish (green) and bearish (purple) signals. Alerts Ready: Built-in alert conditions for crossovers and crossunders of the oscillator. How It Works: Calculate the WMA on the selected source. Normalize its value using the minimum and maximum WMA values over the specified lookback period. Generate long signals when the normalized WMA moves above the upper threshold, and short signals when it moves below the lower threshold. Plot the oscillator and candles in green for bullish signals and purple for bearish signals. Inputs: Source: Data used for WMA calculation. WMA Length: Period for Weighted Moving Average. Min-Max Length: Lookback period for min-max scaling. Upper Threshold: Level above which a long signal is considered. Lower Threshold: Level below which a short signal is considered. ⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
مؤشر Pine Script®
من ‎oquant‎
Synthetic Implied APROverview The Synthetic Implied APR is an artificial implied APR, designed to imitate the implied APR seen when trading cryptocurrency funding rates. It combines real-time funding rates with premium data to calculate an artificial market expectation of the annualized funding rate. The (actual) implied APR is the market's expectation of the annualized funding rate. This is dependent on bid/ask impacts of the implied APR, something which is currently unavailable to fetch with TradingView. In essence, an implied APR of X% means traders believe that asset's funding fees to average X% when annualized. What's important to understand, is that the actual value of the synthetic implied APR is not relevant. We only simply use its relative changes when we trade (i.e if it crosses above/below its MA for a given weight). Even for the same asset, the implied APRs will change depending on days to maturity. How it calculates The synthetic implied APR is calculated with these steps: Collects premium data from perpetual futures markets using optimized lower timeframe requests (check my 'Predicted Funding Rates' indicator) Calculates the funding rate by adding the premium to an interest rate component (clamped within exchange limits) Derives the underlying APR from the 8-hour funding rate (funding rate × 3 × 365) Apply a weighed formula that imitates both the direction (underlying APR) with the volatility of prices (from the premium index and funding) premium_component = (prem_avg / 50 ) * 365 weighedprem = (weight * fr) + ((1 - weight) * apr) + (premium_component * 0.3) impliedAPR = math.avg(weighedprem, ta.sma(apr, maLength)) How to use it: Generally Preface: Funding rates are an indication of market sentiment If funding is positive, generally the market is bullish as longs are willing to pay shorts funding If funding is negative, generally the market is bearish as shorts are willing to pay longs funding So, this script can be used like a typical oscillator: Bullish: If implied APR > MA OR if implied APR MA is green Bearish: If implied APR < MA OR if implied APR MA is red The components: Synthetic Implied APR: The main metric. At current setting of 0.7, it imitates volatility Weight: The higher the value, the smoother the synthetic implied APR is (and MA too). This value is very important to the imitation. At 0.7, it imitates the actual volatility of the implied APR. At weight = 1, it becomes very smooth. Perfect for trading Synthetic Implied APR Moving Average: A moving average of the Synthetic implied APR. Can choose from multiple selections, (SMA, EMA, WMA, HMA, VWMA, RMA) How to use it: Trading Funding When trading funding there're multiple ways to use it with different settings Trade funding rates with trend changes Settings: Weight = 1 Method 1: When the implied APR MA turns green, long funding rates (or short if red) Method 2: When the implied APR crosses above the MA, long funding rates (or short when crosses below) Trade funding rates with MA pullbacks Settings: Weight = 0.7, timeframe 15m In an uptrend: When implied APR crosses below then above the script, long funding opportunity In an downtrend: When implied APR crosses above then below the script, shortfunding opportunity You can determine the trend with the method before, using a weight of 1 To trade funding rates, it's best to have these 3 scripts at these settings: Predicted Funding Rates: This allows you to see the predicted funding rates and see if they've maxxed out for added confluence too (+/-0.01% usually for Binance BTC futures) Synthetic implied APR: At weight 1, the MA provides a good trend (whether close above/below or colour change) Synthetic implied APR: At weight 0.7, it provides a good imitation of volatility How to use it: Trading Futures When trading futures: You can determine roughly what the trend is, if the assumption is made that funding rates can help identify trends if used as a sentiment indicator. It should be supplemented with traditional trend trading methods To prevent whipsaws, weight should remain high Long trend: When the implied APR MA turns green OR when it crosses above its MA Short trend: When the implied APR MA turns red OR when it below above its MA Why it's original This indicator introduces a unique synthetic weighting system that combines funding rates, underlying APR, and premium components in a way not found in existing TradingView scripts. Trading funding rates is a niche area, there aren't that many scripts currently available. And to my knowledge, there's no synthetic implied APR scripts available on TradingView either. So I believe this script to be original in that sense. Notes Because it depends on my triangular weighting algos, optimal accuracy is found on timeframes that are 4H or less. On higher timeframes, the accuracy drops off. Best timeframes for intraday trading using this are 15m or 1 hour The higher the timeframe, the lower the MA one should use. At 1 hour, 200 or higher is best. At say, 4h, length of 50 is best Only works for coins that have a Binance premium index Inputs Funding Period - Select between "1 Hour" or "8 Hour" funding cycles. 8 hours is standard for Binance Table - Toggle the information dashboard on/off to show or hide real-time metrics including funding rate, premium, and APR value Weight - Controls the balance between funding rate (higher values = smoother) and APR (lower values = more responsive) in the calculation, ranging from 0.0 to 1.0. Default is 0.7, this imitates the volatility Auto Timeframe Implied Length - Automatically calculates optimal smoothing length based on your chart timeframe for consistent behavior across different time periods Manual Implied Length - Sets a fixed smoothing length (in bars) when auto mode is disabled, with lower values being more responsive and higher values being smoother Show Implied APR MA - Displays an additional moving average line of the Synthetic Implied APR to help identify trend direction and crossover signals MA Type for Implied APR - Selects the calculation method (SMA, EMA, WMA, HMA, VWMA, or RMA) for the moving average, each offering different responsiveness and lag characteristics MA Length for Implied APR - Sets the lookback period (1-500 bars) for the moving average, with shorter lengths providing more signals and longer lengths filtering noise Show Underlying APR - Displays the raw APR calculation (without synthetic weighting) as a reference line to compare against the main indicator Bullish Color - Sets the color for positive values in the table and rising MA line Bearish Color - Sets the color for negative values in the table and falling MA line Table Background - Customizes the background color and transparency of the information dashboard Table Text Color - Sets the color for label text in the left column of the information table Table Text Size - Controls the font size of table text with options from Tiny to Huge
مؤشر Pine Script®
من ‎stormeta‎
Adaptive Machine Learning Trading System [PhenLabs]📊Adaptive ML Trading System Version: PineScript™v6 📌Description The Adaptive ML Trading System is a sophisticated machine learning indicator that combines ensemble modeling with advanced technical analysis. This system uses XGBoost, Random Forest, and Neural Network algorithms to generate high-confidence trading signals while incorporating robust risk management features. Traders benefit from objective, data-driven decision-making that adapts to changing market conditions. 🚀Points of Innovation • Machine Learning Ensemble - Three integrated models (XGBoost, Random Forest, Neural Network) • Confidence-Based Trading - Only executes trades when ML confidence exceeds threshold • Dynamic Risk Management - ATR-based stop loss and max drawdown protection • Adaptive Position Sizing - Volatility-adjusted position sizing with confidence weighting • Real-Time Performance Metrics - Live tracking of win rate, Sharpe ratio, and performance • Multi-Timeframe Feature Analysis - Adaptive lookback periods for different market regimes 🔧Core Components • ML Ensemble Engine - Weighted combination of XGBoost, Random Forest, and Neural Network outputs • Feature Normalization System - Advanced preprocessing with custom tanh/sigmoid activation • Risk Management Module - Dynamic position sizing and drawdown protection • Performance Dashboard - Real-time metrics and risk status monitoring • Alert System - Comprehensive alert conditions for entries, exits, and risk events 🔥Key Features • High-confidence ML signals with customizable confidence thresholds • Multiple trading modes (Conservative, Balanced, Aggressive) for different risk profiles • Integrated stop loss and risk management with ATR-based calculations • Real-time performance metrics including win rate and Sharpe ratio • Comprehensive alert system with entry, exit, and risk management notifications • Visual confidence bands and threshold indicators for easy signal interpretation 🎨Visualization • ML Signal Line - Primary signal output ranging from -1 to +1 • Confidence Bands - Visual representation of model confidence levels • Threshold Lines - Customizable buy/sell threshold levels • Position Histogram - Current market position visualization • Performance Tables - Real-time metrics display in customizable positions 📖Usage Guidelines Model Configuration • Confidence Threshold: Default 0.55, Range 0.5-0.95 - Minimum confidence for signals • Model Sensitivity: Default 0.9, Range 0.1-2.0 - Adjusts signal sensitivity • Ensemble Mode: Conservative/Balanced/Aggressive - Trading style preference • Signal Threshold: Default 0.55, Range 0.3-0.9 - ML signal threshold for entries Risk Management • Position Size %: Default 10%, Range 1-50% - Portfolio percentage per trade • Max Drawdown %: Default 15%, Range 5-30% - Maximum allowed drawdown • Stop Loss ATR: Default 2.0, Range 0.5-5.0 - Stop loss in ATR multiples • Dynamic Sizing: Default true - Volatility-based position adjustment Display Settings • Show Signals: Default true - Display entry/exit signals • Show Threshold Signals: Default true - Display ±0.6 threshold crosses • Show Confidence Bands: Default true - Display ML confidence levels • Performance Dashboard: Default true - Show metrics table ✅Best Use Cases • Swing trading with 1-5 day holding periods • Trend-following strategies in established trends • Volatility breakout trading during high-confidence periods • Risk-adjusted position sizing for portfolio management • Multi-timeframe confirmation for existing strategies ⚠️Limitations • Requires sufficient historical data for accurate ML predictions • May experience low confidence periods in choppy markets • Performance varies across different asset classes and timeframes • Not suitable for very short-term scalping strategies • Requires understanding of basic risk management principles 💡What Makes This Unique • True machine learning ensemble with multiple model types • Confidence-based trading rather than simple signal generation • Integrated risk management with dynamic position sizing • Real-time performance tracking and metrics • Adaptive parameters that adjust to market conditions 🔬How It Works Feature Calculation: Computes 20+ technical features from price/volume data Feature Normalization: Applies custom normalization for ML compatibility Ensemble Prediction: Combines XGBoost, Random Forest, and Neural Network outputs Signal Generation: Produces confidence-weighted trading signals Risk Management: Applies position sizing and stop loss rules Execution: Generates alerts and visual signals based on thresholds 💡Note: This indicator works best on daily and 4-hour timeframes for most assets. Ensure you understand the risk management settings before live trading. The system includes automatic risk-off modes that halt trading during excessive drawdown periods.
مؤشر Pine Script®
من ‎PhenLabs‎
3
Relative Performance Indicator - TrendSpider StyleRelative Performance Indicator - TrendSpider Style 📈 Overview This Relative Performance (RP) indicator measures how your stock is performing compared to a benchmark index, displayed as a percentile ranking from 0-100. Based on TrendSpider's methodology, it answers the critical question: "Is this stock a leader or a laggard?" Unlike simple ratio charts, this indicator uses percentile ranking to normalize relative performance, making it easy to identify when a stock is showing exceptional strength (>80) or concerning weakness (<20) compared to its historical relationship with the benchmark. ✨ Key Features Three Calculation Modes: Quarterly: 3-month relative performance for swing trading Yearly: Weighted 4-quarter performance for position trading TechRank: Composite of 6 technical indicators for multi-factor analysis Clean Visual Design: Green fills above 80 (strong outperformance) Red fills below 20 (significant underperformance) Dotted median line at 50 for quick reference Current value label for instant reading Flexible Benchmarks: Compare against major indices (SPY, QQQ, IWM) Sector ETFs for within-sector analysis Custom symbols for specialized comparisons Built-in Alerts: Strong performance zone entry (>80) Weak performance zone entry (<20) Median crossovers (50 level) 📊 How To Use Buy Signals: RP crosses above 80: Stock entering leadership status RP holding above 60: Maintaining relative strength RP rising while price consolidating: Accumulation phase Sell/Avoid Signals: RP drops below 50: Losing relative strength RP below 20: Significant underperformance RP falling while price rising: Bearish divergence Sector Rotation: Compare multiple assets to find strongest sectors Rotate into high RP assets (>70) Exit low RP positions (<30) 🎯 Reading The Values 80-100: Exceptional outperformance - Strong buy/hold 60-80: Moderate outperformance - Hold positions 40-60: Market perform - No edge 20-40: Underperformance - Caution/reduce 0-20: Severe underperformance - Avoid/exit ⚙️ Calculation Method Calculates percentage performance of both your stock and the benchmark Finds the performance differential Ranks this differential against historical values using percentile analysis Normalizes to 0-100 scale for easy interpretation This percentile approach adapts to different market conditions and volatility regimes, providing consistent signals whether in trending or choppy markets. 💡 Pro Tips For Growth Stocks: Use quarterly mode with QQQ as benchmark For Value Stocks: Use yearly mode with SPY as benchmark For Small Caps: Compare against IWM, not SPY For Sector Analysis: Use sector ETFs (XLK, XLF, XLE, etc.) Combine with Price Action: High RP + price breakout = powerful signal ⚠️ Important Notes RP is relative, not absolute - stocks can fall with high RP if the market falls harder Choose appropriate benchmarks for meaningful comparisons Best used in conjunction with price action and volume analysis Historical lookback period affects sensitivity (adjustable in settings) 🔧 Customization Fully customizable visual settings, thresholds, calculation periods, and smoothing options. Adjust the normalization lookback period (default 252 days) to fine-tune sensitivity to your trading timeframe. 📌 Credit Inspired by TrendSpider's Relative Performance implementation, adapted for TradingView with enhanced customization options and Pine Script v6 optimization. Tags to include: relativeperformance, relativestrength, percentile, ranking, sectorrotation, benchmark, outperformance, trendspider, marketbreadth, strengthindicator Category: Momentum Indicators / Trend Analysis Feel free to modify this description to match your style or add any specific points you want to emphasize!
مؤشر Pine Script®
من ‎nippe678‎
ASILTURK GrandASILTURK GRAND: The Ultimate Weekly Trend Master Strategy Overview ASILTURK GRAND is our flagship trend-following strategy, meticulously designed to bypass the noise of daily market fluctuations and capture the most substantial, reliable movements driven by macro trends. By basing all trading decisions exclusively on Weekly (W) timeframe data, the bot filters out small-timeframe volatility, resulting in unparalleled risk control and exceptional, verifiable profitability. 🔥 Why ASILTURK GRAND is the Market Leader The true value of the GRAND strategy lies not just in its high returns, but in the extraordinary low risk required to achieve them. Market-Leading Risk/Reward Profile: This is the strategy's most powerful selling point. In BTC/USDT testing, it achieved an incredible +57.85% Net Profit while maintaining a Maximum Drawdown of only 9.64%. This risk-to-reward balance is virtually unmatched in the market. Exceptional Profit Factor (4.26): A Profit Factor above 4.0 is extremely rare and signifies a superior strategy. It proves that the bot's gross gains are over four times its gross losses, ensuring long-term, sustainable profitability. Strict Trend Validation (ADX Filter): The bot will only enter a trade when the Weekly ADX is confirmed above 24. This critical filter ensures you are only trading during periods of strong, committed market momentum, protecting capital during choppy consolidation phases. Aggressive Target Capture: It utilizes a disciplined 12% SL to navigate expected volatility and an aggressive 50% TP to ensure the majority of the major trend move is captured. Net Profit +57.85% Highest Achieved Profitability for our trend models. Max Drawdown 9.64% Outstanding Risk Control. This low figure is a testament to the strategy's stability. Profit Factor 4.26 Unrivaled Reliability. The strongest indicator of long-term sustainability. ASILTURK GRAND offers a rare combination of high returns and market-leading risk management. It is the perfect tool for traders who demand performance with peace of mind.
استراتيجية Pine Script®
من ‎asilturk‎
Asilturk Swift ASILTURK is a high-performance trend-following bot engineered to eliminate market noise and focus exclusively on high-conviction movements driven by institutional capital. Unlike bots that get lost in low-timeframe fluctuations, ASILTURK uses the Weekly (W) timeframe as its primary filter, ensuring every trade decision is based on macro, reliable data. The result is superior risk management and exceptional profitability. 🔥 Key Competitive Advantages ASILTURK stands out because it doesn't just look for a trend—it verifies the Strength and Legitimacy of that trend before entering a trade: Weekly Trend Strength (ADX Filter): The bot strictly requires the Weekly ADX to be above 24. This ensures we only engage when the market has established a powerful, confirmed trend, effectively eliminating trading during choppy, sideways markets. Weekly Directional Confirmation (HA & WT_LB): Signals are generated only when the Heikin Ashi and WT_LB indicators align on the Weekly timeframe, providing dual confirmation that the momentum and direction are unified. Exceptional Risk/Reward Ratio: The strategy is designed to tolerate small, necessary volatility (SL: 12%) to capture massive trend moves (TP: 50%). This setup is the secret behind its high Profit Factor. Conclusion: Own Your Trading Discipline ASILTURK is not just a trading bot; it’s a tool that imposes weekly discipline on the chaos of the market. It’s ideal for traders who want to capture significant trend movements with confidence and highly controlled risk.
استراتيجية Pine Script®
من ‎asilturk‎
Squeeze Momentum Pro + Divergencias RCTSqueeze Momentum Pro + Divergences RCT" This indicator combines the core logic of the LazyBear Squeeze Momentum oscillator with divergence detection logic, as modified and integrated by Carlos Mauricio Vizcarra for the Rafael Cepeda Trader community. It displays the classic Squeeze Momentum histogram and zero-cross line, while simultaneously identifying potential regular and hidden bullish and bearish divergences based on the internal momentum oscillator (val) and price pivots. This code is provided exclusively for demonstrative and academic purposes. It is intended for study, analysis, and educational use within the context of algorithmic trading indicator development. The code is subject to the Mozilla Public License 2.0 (MPL 2.0).
مؤشر Pine Script®
من ‎CARLOSVIZCARRA17‎
1
RSI Zone Heat map (20/40/60/80 Levels)This indicator enhances the classic RSI by highlighting key momentum zones with intuitive background colors. • Horizontal reference levels at 20, 40, 60, and 80. • Greenish hue when RSI oscillates between 40–80, signaling a healthier momentum zone. • Reddish hue when RSI oscillates between 20–60, warning of weaker momentum. • The overlap zone (40–60) dynamically shifts: green bias above 50, red bias below 50. This visualization makes it easier to spot when RSI is leaning toward strength or weakness at a glance. Use it as a complement to your trading strategy for clearer confirmation of potential overbought/oversold shifts and momentum transitions.
مؤشر Pine Script®
من ‎joelmathew123456‎
RXTrend█ OVERVIEW The "RXTrend" indicator is a technical analysis tool based on a unique approach to trend identification using RSI values from overbought and oversold zones. Designed for traders seeking a precise tool to identify key market levels and trend direction, the indicator offers flexible settings, dynamic trend lines, candlestick coloring, and buy/sell signals, supported by alerts for key events. █ CONCEPTS "RXTrend" leverages the Relative Strength Index (RSI) to identify overbought and oversold zones, which are often significant areas on the chart due to potentially higher volume, increased volatility, or acting as pivot points. To address this, I created an indicator that uses RSI values from these zones, mapping them to price levels to determine the trend. Additionally, for a clearer market picture, boxes are added to highlight overbought and oversold zones on the chart, and candlestick coloring is based on the direction of the RSI moving average. This provides further confirmation of the trend direction and identifies potential correction or reversal points. The indicator is universal and works across all markets (stocks, forex, cryptocurrencies) and timeframes. █ FEATURES - RSI Calculation: Calculates RSI based on the closing price over a specified period, with a default length of 14. - Trend Line: A smoothed trend line based on mapping RSI values from overbought (for downtrends) or oversold (for uptrends) zones to price levels. RSI values are transformed into prices using the price range from a selected period (default: 50 bars) and then smoothed to form the trend line. The line changes color based on the trend direction (blue for uptrend, orange for downtrend). - Candlestick Coloring: Option to color candles based on the direction of the RSI moving average (RSI MA). Candle colors align with the trend and box colors (blue for uptrend, orange for downtrend, gray for neutral). - Overbought and Oversold Zones: Identifies overbought (RSI > OB) and oversold (RSI < OS) levels, drawing dynamic boxes on the price chart to reflect these zones. Boxes update in real-time, adjusting to new highs and lows. - Buy and Sell Signals: Generates buy signals (blue "Buy" labels) when the price crosses above the smoothed oversold line and sell signals (orange "Sell" labels) when the price crosses below the smoothed overbought line. - Shadow Fill: Option to fill the space between the trend line and price (HL2) with adjustable transparency, aiding visual trend assessment. Alerts: Built-in alerts for: - Buy and sell signals. - Appearance of new overbought/oversold boxes. - RSI MA direction change (candle color change to uptrend or downtrend). Customization: Allows adjustment of RSI length, overbought/oversold levels, smoothing period, colors, box and label transparency, and the option to keep boxes after RSI returns to normal. █ HOW TO USE Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configure Settings: RSI Settings: - RSI Length: Sets the RSI calculation period (default: 14). - Overbought Level (OB): Sets the overbought threshold (default: 70). - Oversold Level (OS): Sets the oversold threshold (default: 30). Price Settings: - Price Range Lookback: Defines the period for calculating the price range (default: 50). Candle Coloring: - Color Candles: Enables/disables candle coloring based on RSI MA direction. - RSI MA Length: Sets the RSI moving average period (default: 21). Smoothing Settings: - Smoothing Length: Degree of trend line smoothing (default: 5). Colors: - Trend Colors: Customize colors for uptrend (default: blue), downtrend (default: orange), and shadow fill. Box Settings: - Box Transparency: Adjusts box transparency (0-100). - Box Colors: Sets colors for overbought (orange) and oversold (blue) zones. - Keep Boxes: Determines if boxes remain after RSI returns to normal. Signals: - Show Buy/Sell Signals: Enables/disables signal label display. - Label Transparency: Adjusts signal label transparency. Interpreting Signals: - Trend Line: Shows market direction (blue for uptrend, orange for downtrend). - Buy Signals: Blue "Buy" label appears when the price crosses above the smoothed oversold line, signaling a potential uptrend. - Sell Signals: Orange "Sell" label appears when the price crosses below the smoothed overbought line, signaling a potential downtrend. - Overbought/Oversold Boxes: Orange boxes indicate overbought zones (RSI > OB), blue boxes indicate oversold zones (RSI < OS). Boxes expand dynamically in real-time. - Candlestick Coloring: Candle colors align with the trend and box colors, reflecting RSI MA direction. - Alerts: Set up alerts in TradingView for buy/sell signals, new overbought/oversold boxes, or RSI MA direction changes. - Combining with Other Tools: Use the indicator alongside support/resistance levels, Fair Value Gaps (FVG), or other indicators to confirm signals. █ APPLICATIONS The "RXTrend" indicator is designed to identify key market zones and trend direction, making it useful for trend-following and reversal strategies. It enables: - Trend Confirmation: Candlestick coloring and the trend line help assess the dominant market direction, supporting entry or exit decisions. The trend line can act as a significant support/resistance level, and a price bounce from it may provide a good entry point, especially when confirmed by Fibonacci levels. Additionally, the appearance of overbought/oversold boxes combined with a change in candle color (RSI MA direction) may indicate an impending correction. This allows analysis of potential market overextension and correction endings, enabling multiple entries within a trend. - Overbought and Oversold Zone Identification: Boxes highlight potential reversal or correction points, especially when combined with support/resistance levels or FVG. - Signal-Based Strategies: Buy and sell signals can be used as entry points in a trend or as warnings of potential reversals. █ NOTES - The indicator is universal and works across all markets and timeframes due to its RSI-based and price-mapping logic. - Adjust settings (e.g., RSI length, OB/OS levels, smoothing) to suit your trading style and timeframe. - Use in conjunction with other technical analysis tools to enhance signal accuracy.
مؤشر Pine Script®
من ‎Uncle_the_shooter‎
HyperOscillatorThis indicator, HyperOscillator, is an enhanced oscillator designed to measure synthetic momentum by averaging percentage changes across multiple moving average periods. It provides a clear view of trend strength with a main line that turns green for bullish momentum and purple for bearish, alongside histograms for upper and lower bounds to spot crossovers. Exhaustion points are highlighted with circles for potential reversals, and you can enable divergence labels to detect regular or hidden mismatches between price and momentum. Volume weighting amplifies signals in high-activity bars, while multi-timeframe support brings in higher TF data for better context. The dashboard shows momentum strength as a 0-100% rank, risk level for overbought/oversold, and a flat data warning. Customize scales and styles to fit your chart, and pair it with HyperChannel for spotting exhaustion at channel edges. Not financial advice—experiment and see how it boosts your trading!
مؤشر Pine Script®
من ‎MCaesarAlgo‎
2
BayesStack RSI [CHE]BayesStack RSI — Stacked RSI with Bayesian outcome stats and gradient visualization Summary BayesStack RSI builds a four-length RSI stack and evaluates it with a simple Bayesian success model over a rolling window. It highlights bull and bear stack regimes, colors price with magnitude-based gradients, and reports per-regime counts, wins, and estimated win rate in a compact table. Signals seek to be more robust through explicit ordering tolerance, optional midline gating, and outcome evaluation that waits for events to mature by a fixed horizon. The design focuses on readable structure, conservative confirmation, and actionable context rather than raw oscillator flips. Motivation: Why this design? Classical RSI signals flip frequently in volatile phases and drift in calm regimes. Pure threshold rules often misclassify shallow pullbacks and stacked momentum phases. The core idea here is ordered, spaced RSI layers combined with outcome tracking. By requiring a consistent order with a tolerance and optionally gating by the midline, regime identification becomes clearer. A horizon-based maturation check and smoothed win-rate estimate provide pragmatic feedback about how often a given stack has recently worked. What’s different vs. standard approaches? Reference baseline: Traditional single-length RSI with overbought and oversold rules or simple crossovers. Architecture differences: Four fixed RSI lengths with strict ordering and a spacing tolerance. Optional requirement that all RSI values stay above or below the midline for bull or bear regimes. Outcome evaluation after a fixed horizon, then rolling counts and a prior-smoothed win rate. Dispersion measurement across the four RSIs with a percent-rank diagnostic. Gradient coloring of candles and wicks driven by stack magnitude. A last-bar statistics table with counts, wins, win rate, dispersion, and priors. Practical effect: Charts emphasize sustained momentum alignment instead of single-length crosses. Users see when regimes start, how strong alignment is, and how that regime has recently performed for the chosen horizon. How it works (technical) The script computes RSI on four lengths and forms a “stack” when they are strictly ordered with at least the chosen tolerance between adjacent lengths. A bull stack requires a descending set from long to short with positive spacing. A bear stack requires the opposite. Optional gating further requires all RSI values to sit above or below the midline. For evaluation, each detected stack is checked again after the horizon has fully elapsed. A bull event is a success if price is higher than it was at event time after the horizon has passed. A bear event succeeds if price is lower under the same rule. Rolling sums over the training window track counts and successes; a pair of priors stabilizes the win-rate estimate when sample sizes are small. Dispersion across the four RSIs is measured and converted to a percent rank over a configurable window. Gradients for bars and wicks are normalized over a lookback, then shaped by gamma controls to emphasize strong regimes. A statistics table is created once and updated on the last bar to minimize overhead. Overlay markers and wick coloring are rendered to the price chart even though the indicator runs in a separate pane. Parameter Guide Source — Input series for RSI. Default: close. Tips: Use typical price or hlc3 for smoother behavior. Overbought / Oversold — Guide levels for context. Defaults: seventy and thirty. Bounds: fifty to one hundred, zero to fifty. Tips: Narrow the band for faster feedback. Stacking tolerance (epsilon) — Minimum spacing between adjacent RSIs to qualify as a stack. Default: zero point twenty-five RSI points. Trade-off: Higher values reduce false stacks but delay entries. Horizon H — Bars ahead for outcome evaluation. Default: three. Trade-off: Longer horizons reduce noise but delay success attribution. Rolling window — Lookback for counts and wins. Default: five hundred. Trade-off: Longer windows stabilize the win rate but adapt more slowly. Alpha prior / Beta prior — Priors used to stabilize the win-rate estimate. Defaults: one and one. Trade-off: Larger priors reduce variance with sparse samples. Show RSI 8/13/21/34 — Toggle raw RSI lines. Default: on. Show consensus RSI — Weighted combination of the four RSIs. Default: on. Show OB/OS zones — Draw overbought, oversold, and midline. Default: on. Background regime — Pane background tint during bull or bear stacks. Default: on. Overlay regime markers — Entry markers on price when a stack forms. Default: on. Show statistics table — Last-bar table with counts, wins, win rate, dispersion, priors, and window. Default: on. Bull requires all above fifty / Bear requires all below fifty — Midline gate. Defaults: both on. Trade-off: Stricter regimes, fewer but cleaner signals. Enable gradient barcolor / wick coloring — Gradient visuals mapped to stack magnitude. Defaults: on. Trade-off: Clearer regime strength vs. extra rendering cost. Collection period — Normalization window for gradients. Default: one hundred. Trade-off: Shorter values react faster but fluctuate more. Gamma bars and shapes / Gamma plots — Curve shaping for gradients. Defaults: zero point seven and zero point eight. Trade-off: Higher values compress weak signals and emphasize strong ones. Gradient and wick transparency — Visual opacity controls. Defaults: zero. Up/Down colors (dark and neon) — Gradient endpoints. Defaults: green and red pairs. Fallback neutral candles — Directional coloring when gradients are off. Default: off. Show last candles — Limit for gradient squares rendering. Default: three hundred thirty-three. Dispersion percent-rank length / High and Low thresholds — Window and cutoffs for dispersion diagnostics. Defaults: two hundred fifty, eighty, and twenty. Table X/Y, Dark theme, Text size — Table anchor, theme, and typography. Defaults: right, top, dark, small. Reading & Interpretation RSI stack lines: Alignment and spacing convey regime quality. Wider spacing suggests stronger alignment. Consensus RSI: A single line that summarizes the four lengths; use as a smoother reference. Zones: Overbought, oversold, and midline provide context rather than standalone triggers. Background tint: Indicates active bull or bear stack. Markers: “Bull Stack Enter” or “Bear Stack Enter” appears when the stack first forms. Gradients: Brighter tones suggest stronger stack magnitude; dull tones suggest weak alignment. Table: Count and Wins show sample size and successes over the window. P(win) is a prior-stabilized estimate. Dispersion percent rank near the high threshold flags stretched alignment; near the low threshold flags tight clustering. Practical Workflows & Combinations Trend following: Enter only on new stack markers aligned with structure such as higher highs and higher lows for bull, or lower lows and lower highs for bear. Use the consensus RSI to avoid chasing into overbought or oversold extremes. Exits and stops: Consider reducing exposure when dispersion percent rank reaches the high threshold or when the stack loses ordering. Use the table’s P(win) as a context check rather than a direct signal. Multi-asset and multi-timeframe: Defaults travel well on liquid assets from intraday to daily. Combine with higher-timeframe structure or moving averages for regime confirmation. The script itself does not fetch higher-timeframe data. Behavior, Constraints & Performance Repaint and confirmation: Stack markers evaluate on the live bar and can flip until close. Alert behavior follows TradingView settings. Outcome evaluation uses matured events and does not look into the future. HTF and security: Not used. Repaint paths from higher-timeframe aggregation are avoided by design. Resources: max bars back is two thousand. The script uses rolling sums, percent rank, gradient rendering, and a last-bar table update. Shapes and colored wicks add draw overhead. Known limits: Lag can appear after sharp turns. Very small windows can overfit recent noise. P(win) is sensitive to sample size and priors. Dispersion normalization depends on the collection period. Sensible Defaults & Quick Tuning Start with the shipped defaults. Too many flips: Increase stacking tolerance, enable midline gates, or lengthen the collection period. Too sluggish: Reduce stacking tolerance, shorten the collection period, or relax midline gates. Sparse samples: Extend the rolling window or increase priors to stabilize P(win). Visual overload: Disable gradient squares or wick coloring, or raise transparency. What this indicator is—and isn’t This is a visualization and context layer for RSI stack regimes with simple outcome statistics. It is not a complete trading system, not predictive, and not a signal generator on its own. Use it with market structure, risk controls, and position management that fit your process. Metadata - Pine version: v6 - Overlay: false (price overlays are drawn via forced overlay where applicable) - Primary outputs: Four RSI lines, consensus line, OB/OS guides, background tint, entry markers, gradient bars and wicks, statistics table - Inputs with defaults: See Parameter Guide - Metrics and functions used: RSI, rolling sums, percent rank, dispersion across RSI set, gradient color mapping, table rendering, alerts - Special techniques: Ordered RSI stacking with tolerance, optional midline gating, horizon-based outcome maturation, prior-stabilized win rate, gradient normalization with gamma shaping - Performance and constraints: max bars back two thousand, rendering of shapes and table on last bar, no higher-timeframe data, no security calls - Recommended use-cases: Regime confirmation, momentum alignment, post-entry management with dispersion and recent outcome context - Compatibility: Works across assets and timeframes that support RSI - Limitations and risks: Sensitive to parameter choices and market regime changes; not a standalone strategy - Diagnostics: Statistics table, dispersion percent rank, gradient intensity Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
مؤشر Pine Script®
من ‎chervolino‎
🐬TSI_ShadowAdded the following features to the original TSI Shadow indicator by Daveatt - Candle color on/off => Displays the current trend status by coloring the chart candles. - Background color on/off => Displays the current trend status by coloring the chart background. - Conservative signal processing based on the zero line on/off => When calculating the trend with the TSI, a bullish trend is only confirmed above the zero line, and a bearish trend is only confirmed below the zero line. - Conservative signal processing based on full signal alignment on/off => This enhances the original trend calculation (bullish when TSI and Fast MA are above Slow MA). With this option, the trend is determined by the specific alignment of all three lines: TSI, Fast MA, and Slow MA. 기존 Daveatt 유저가 개발한 TSI Shadow 에서 아래 기능을 추가 하였습니다. - 캔들 색상 on/off => 캔들에 추세의 상태를 색상으로 나타냅니다. - 배경 색상 on/off => 배경에 추세의 상태를 색상으로 나타냅니다. - 0선 기준으로 신호 발생 보수적 처리 on/off => TSI로 추세를 계산할 때 0선 위에서는 매수추세, 0선 아래서는 매도추세를 계산합니다. - 전체 배열 신호 발생 보수적 처리 on/off => TSI선과, FastMA 선이 SlowMA 위에 있을때 상승추세, 반대면 하락추세를 나타내 주던 계산식에서 TSI-FastMA-SlowMA 세가지 선의 배열 상태로 추세를 나타냅니다.
مؤشر Pine Script®
من ‎BossOfDolphinGang_‎