Mulai

Statistics

CorrelationMulti-Timeframe Correlation Indicator This Pine Script indicator measures the correlation between the current symbol and a reference symbol (default: GLD) across three different timeframes. It provides traders with valuable insights into how assets move in relation to each other over short, medium, and long-term periods. Key Features Multiple Timeframe Analysis: Calculates correlation coefficients over three customizable periods (default: 20, 50, and 200 bars) Visual Reference Lines: Displays horizontal lines at +1, 0, and -1 to indicate perfect positive correlation, no correlation, and perfect negative correlation Color-Coded Outputs: Shows short-term correlation in green, medium-term in yellow, and long-term in red for easy visual interpretation Understanding Correlation The correlation coefficient measures the statistical relationship between two data series, ranging from -1 to +1: +1: Perfect positive correlation (both assets move together in the same direction) 0: No correlation (movements are random and independent) -1: Perfect negative correlation (assets move in opposite directions) How To Use This Indicator Market Relationships: Identify how strongly your current asset correlates with the reference symbol Diversification Analysis: Find assets with negative correlations to build a diversified portfolio Divergence Opportunities: Watch for changes in correlation patterns that might signal trading opportunities Trend Confirmation: Use correlation with benchmark assets to confirm broader market trends Customization Options Reference Symbol: Change the default GLD to any other symbol you want to compare against Period Lengths: Adjust the short, medium, and long timeframes to match your trading strategy and timeframe This indicator helps traders make more informed decisions by understanding the interrelationships between different assets across various timeframes, potentially improving portfolio construction and risk management strategies.
Indikator Pine Script®
oleh sixfur
Ceres Trader Inv DXY % OverlayIntroducing the “Inverse DXY % Overlay” for TradingView What it does: • Plots the U.S. Dollar Index (DXY) as an inverted %-change line directly over your primary chart (e.g. XAUUSD). • Dollar strength shows as a downward line; dollar weakness shows as an upward line—instantly highlighting negative correlation. Why it helps: • Trend confirmation – Ride Gold breakouts only when the dollar is actually weakening. • Divergence signals – Spot early turn setups when Gold and DXY % don’t move in sync. • Risk management – Trim or tighten stops when the dollar pivots against your position. Key features: Overlay on any symbol (Gold, Silver, Oil, Crypto, equities) Auto-scaled to left-axis %, so your price chart stays on the right Lightweight & transparent—1 px grey line, minimal clutter Now you’ll have a real-time, inverted DXY % line beneath your candles—perfect for gauging USD flow before you pull the trigger on any trade. Happy trading! 🚀 —Michael (Ceres Trader)
Indikator Pine Script®
oleh CeresTrader
Price Lag Factor (PLF)📊 Price Lag Factor (PLF) for Crypto Traders: A Comprehensive Breakdown The Price Lag Factor (PLF) is a momentum indicator designed to identify overextended price movements and gauge market momentum. It is particularly optimized for the crypto market, which is known for its high volatility and rapid trend shifts. 🔎 What is the Price Lag Factor (PLF)? The PLF measures the difference between long-term and short-term price momentum and scales it dynamically based on recent volatility. This helps traders identify when the market might be overbought or oversold while filtering out noise. The formula used in the PLF calculation is: PLF = (Z-Long - Z-Short) / Stdev(PLF) Where: Z-long: Z-score of the long-term moving average (50-period by default). Z-short: Z-score of the short-term moving average (14-period by default). Stdev(PLF): Standard deviation of the PLF over a longer period (50-period by default). 🧠 How to Interpret the PLF: 1. Trend Direction: Positive PLF (Green Bars): Indicates bullish momentum. The long-term trend is up, and short-term movements are confirming it. Negative PLF (Red Bars): Indicates bearish momentum. The long-term trend is down, and short-term movements are consistent with it. 2. Momentum Strength: PLF near Zero (±0.5): Low momentum; trend direction is not strong. PLF between ±1 and ±2: Moderate momentum, indicating that the market is moving with strength but not in an overextended state. PLF beyond ±2: High momentum (overbought/oversold), indicating potential trend exhaustion and a possible reversal. 📈 Trading Strategies: 1. Trend Following: Bullish Signal: Enter long when PLF crosses above 0 and remains green. Confirm with other indicators like RSI or MACD to reduce false signals. Bearish Signal: Enter short when PLF crosses below 0 and remains red. Use trend confirmation (e.g., moving average crossover) for better accuracy. 2. Reversal Trading: Overbought Signal: If PLF rises above +2, look for signs of bearish divergence or a reversal pattern to consider a short entry. Oversold Signal: If PLF falls below -2, watch for bullish divergence or a support bounce to consider a long entry. 3. Momentum Divergence: Bullish Divergence: Price makes a lower low while PLF makes a higher low. Indicates weakening bearish momentum and a potential bullish reversal. Bearish Divergence: Price makes a higher high while PLF makes a lower high. Signals weakening bullish momentum and a potential bearish reversal. 💡 Best Practices: Combine with Volume: Volume spikes during high PLF readings can confirm trend continuation. Low volume during PLF extremes may hint at false breakouts. Watch for Extreme Levels: PLF beyond ±2 suggests overextended price action. Use caution when entering new positions. Confirm with Other Indicators: Use with Relative Strength Index (RSI) or Bollinger Bands to get a better sense of overbought/oversold conditions. Overlay with a moving average to gauge trend consistency. 🚀 Why the PLF Works for Crypto: Crypto markets are highly volatile and prone to rapid trend changes. The PLF's adaptive scaling ensures it remains relevant regardless of market conditions. It highlights momentum shifts more accurately than static indicators because it accounts for changing volatility in its calculation. 🚨 Disclaimer for Traders Using the Price Lag Factor (PLF) Indicator: The Price Lag Factor (PLF) indicator is designed as a technical analysis tool to gauge momentum and identify potential overbought or oversold conditions. However, it should not be relied upon as a sole decision-making factor for trading or investing. Important Points to Consider: Market Risk: Trading cryptocurrencies and other financial assets involves significant risk. The PLF may not accurately predict future price movements, especially during unexpected market events. Indicator Limitations: No technical indicator, including the PLF, is infallible. False signals can occur, particularly in low-volume or highly volatile conditions. Supplementary Analysis: Always combine PLF insights with other technical indicators, fundamental analysis, and risk management strategies to make informed decisions. Personal Judgment: Traders should use their own discretion when interpreting PLF signals and never trade based solely on this indicator. No Guarantees: The PLF is designed for educational and informational purposes only. Past performance is not indicative of future results. Always perform thorough research and consider consulting with a professional financial advisor before making any trading decisions.
Indikator Pine Script®
oleh RWCS_LTD
Vietnamese Stock Market FTD (Follow Through Day) AlertA Pine Script implementing William O'Neil’s Follow Through Day (FTD) strategy for the Vietnamese stock market. It scans 7 predefined sector groups (Banks, Real Estate, Retail, etc.) to detect momentum breakouts. Key Features : Triggers an FTD signal when ≥X groups (default: 3) have ≥Y stocks (default: 2) rising above a Z% threshold (default: 5%) daily. Highlights qualifying stocks by group in a dynamic label during alerts. Visualizes strength via histograms and background shading. Open-source under Mozilla Public License 2.0 . Purpose : Identify institutional buying and potential market reversals.
Indikator Pine Script®
oleh doqkhanh
ETI IndicatorThe Ensemble Technical Indicator (ETI) is a script that combines multiple established indicators into one single powerful indicator. Specifically, it takes a number of technical indicators and then converts them into +1 to represent a bullish trend, or a -1 to represent a bearish trend. It then adds these values together and takes the running sum over the past 20 days. The ETI is composed of the following indicators and converted to +1 or -1 using the following criteria: Simple Moving Average (10 days) : When the price is above the 10-day simple moving averaging, +1, when below -1 Weighted Moving Average (10 days) : Similar to the SMA 10, when the the price is above the 10-day weighted moving average, +1, when below -1 Stochastic K% : If the current Stochastic K% is greater than the previous value, then +1, else -1. Stochastic D% : Similar to the Stochastic K%, when the current Stochastic D% is greater than the previous value, +1, else -1. MACD Difference : First subtract the MACD signal (i.e. the moving average) from the MACD value and if the current value is higher than the previous value, then +1, else -1. William's R% : If the current William's R% is greater than the previous one, then +1, else -1. William's Accumulation/Distribution : If the current William's AD value is greater than the previous value, then +1, else -1. Commodity Channel Index : If the Commodity Channel Index is greater than 200 (overbought), then -1, if it is less than -200 (oversold) then +1. When it is between those values, if the current value is greater than the previous value then +1, else -1. Relative Strength Index : If the Relative Strength Index is over 70 (overbought) then -1 and if under 30 (oversold) then +1. If the Relative Strength Indicator is between those values then if the current value is higher than the previous value +1, else -1. Momentum (9 days) : If the momentum value is greater than 0, then +1, else -1. Again, once these values have been calculated and converted, they are added up to produce a single value. This single value is then summed across the previous 20 candles to produce a running sum. By coalescing multiple technical indicators into a single value across time, traders can better understand how multiple inter-related indicators are behaving at once; high scores indicate that numerous indicators are showing bullish signals indicating a potential or ongoing uptrend (and vice-versa with low scores). Additional Features Numerous smoothing transformations have also been added (e.g. gaussian smoothing) to remove some of the noise might exist. Suggested Use It is recommended that stocks are shorted when the cross below 0, and are bought when the ETI crosses above -40. Arrows can be shown on the indicator to show these points. However feel free to use levels that work best for you. Traditionally, I have treated values above +50 as overbought and below -40 as undersold (with -80 indicating extremely oversold); however these levels could also indicate either upwards and downwards momentum so taking a position based on where the ETI is (rather than crossing levels) should be done with caution.
Indikator Pine Script®
oleh TechnicallyNotFinancialAdvice
Relative Strength Index with Percentile📈 Relative Strength Index with Percentile Rank (RSI + Percentile) This advanced RSI indicator adds a powerful percentile ranking system to the classic Relative Strength Index, providing deeper insight into current RSI values relative to recent history. 🔍 Key Features: Standard RSI Calculation: Identifies overbought/oversold levels using a customizable period. RSI Percentile (0–100%): Calculates where the current RSI value stands within a user-defined lookback period. Dynamic Background Coloring: 🟩 Green when RSI percentile is above 80% (strong relative strength) 🟥 Red when RSI percentile is below 20% (strong relative weakness) Optional Divergence Detection: Spot classic bullish and bearish divergences between price and RSI. Smoothing Options: Apply various moving averages (SMA, EMA, RMA, etc.) to the RSI, with optional Bollinger Bands. Flexible Settings: Full control over lookback periods, smoothing type, and band sensitivity. 🧠 Why Use RSI Percentile? Traditional RSI values can become less informative during trending markets. By ranking the RSI as a percentile, you gain contextual insight into whether the current strength is unusually high or low compared to recent history, rather than just a fixed 70/30 threshold.
Indikator Pine Script®
oleh Abram07
Money Flow based probabilityMoney Flow based probability This indicator provides a comprehensive correlation and momentum analysis between your main asset and up to three selected correlated assets. It combines correlation, trend, momentum, and overbought/oversold signals into a single, easy-to-read table directly on your chart. Correlated Asset Selection : You can select up to three correlated assets (e.g., indices, currencies, bonds) to compare with your main chart symbol. Each asset can be toggled on or off. Correlation Calculation : The indicator uses the native Pine Script ta.correlation function to measure the statistical relationship between the closing prices of your asset and each selected pair over a user-defined period. Technical Analysis Integration : For each asset (including the main one), the indicator calculates: Trend direction using EMA (Exponential Moving Average) – optional Momentum using MACD – optional Overbought/oversold status using RSI – optional Probability Scoring : A weighted scoring system combines correlation, trend, MACD, RSI, and trend exhaustion signals to produce buy and sell probabilities for the main asset. Visual Table Output : A customizable table is displayed on the chart, showing: Asset name Correlation (as a percentage, -100% to +100%) Trend (Bullish/Bearish) MACD status (Bullish/Bearish) RSI value and status Buy/Sell probability (with fixed-width formatting for stability) User Customization : You can adjust: Table size, color, and position Correlation period EMA, MACD, and RSI parameters Which assets to display This indicator is ideal for traders who want to quickly assess the influence of major correlated markets and technical signals on their trading instrument, all in a single glance. --- Example: Correlation Calculation corrCurrentAsset1 = ta.correlation(close, asset1Data, correlationPeriod) Example: Table Output (Buy/Sell %) buyStr = f_formatPercent(buyProbability) + "%" sellStr = f_formatPercent(sellProbability) + "%" cellStr = buyStr + " / " + sellStr
Indikator Pine Script®
oleh Raffaele_De_Leo
The Echo System🔊 The Echo System – Trend + Momentum Trading Strategy Overview: The Echo System is a trend-following and momentum-based trading tool designed to identify high-probability buy and sell signals through a combination of market trend analysis, price movement strength, and candlestick validation. Key Features: 📈 Trend Detection: Uses a 30 EMA vs. 200 EMA crossover to confirm bullish or bearish trends. Visual trend strength meter powered by percentile ranking of EMA distance. 🔄 Momentum Check: Detects significant price moves over the past 6 bars, enhanced by ATR-based scaling to filter weak signals. 🕯️ Candle Confirmation: Validates recent price action using the previous and current candle body direction. ✅ Smart Conditions Table: A live dashboard showing all trade condition checks (Trend, Recent Price Move, Candlestick confirmations) in real-time with visual feedback. 📊 Backtesting & Stats: Auto-calculates average win, average loss, risk-reward ratio (RRR), and win rate across historical signals. Clean performance dashboard with color-coded metrics for easy reading. 🔔 Alerts: Set alerts for trade signals or significant price movements to stay updated without monitoring the chart 24/7. Visuals: Trend markers and price movement flags plotted directly on the chart. Dual tables: 📈 Conditions table (top-right): breaks down trade criteria status. 📊 Performance table (bottom-right): shows real-time stats on win/loss and RRR.🔊 The Echo System – Trend + Momentum Trading Strategy Overview: The Echo System is a trend-following and momentum-based trading tool designed to identify high-probability buy and sell signals through a combination of market trend analysis, price movement strength, and candlestick validation. Key Features: 📈 Trend Detection: Uses a 30 EMA vs. 200 EMA crossover to confirm bullish or bearish trends. Visual trend strength meter powered by percentile ranking of EMA distance. 🔄 Momentum Check: Detects significant price moves over the past 6 bars, enhanced by ATR-based scaling to filter weak signals. 🕯️ Candle Confirmation: Validates recent price action using the previous and current candle body direction. ✅ Smart Conditions Table: A live dashboard showing all trade condition checks (Trend, Recent Price Move, Candlestick confirmations) in real-time with visual feedback. 📊 Backtesting & Stats: Auto-calculates average win, average loss, risk-reward ratio (RRR), and win rate across historical signals. Clean performance dashboard with color-coded metrics for easy reading. 🔔 Alerts: Set alerts for trade signals or significant price movements to stay updated without monitoring the chart 24/7. Visuals: Trend markers and price movement flags plotted directly on the chart. Dual tables: 📈 Conditions table (top-right): breaks down trade criteria status. 📊 Performance table (bottom-right): shows real-time stats on win/loss and RRR.
Indikator Pine Script®
oleh elicruz2380
1
Machine Learning: ARIMA + SARIMADescription The ARIMA (Autoregressive Integrated Moving Average) and SARIMA (Seasonal ARIMA) are advanced statistical models that use machine learning to forecast future price movements. It uses autoregression to find the relationship between observed data and its lagged observations. The data is differenced to make it more predictable. The MA component creates a dependency between observations and residual errors. The parameters are automatically adjusted to market conditions. Differences ARIMA - This excels at identifying trends in the form of directions SARIMA - Incorporates seasonality. It's better at capturing patterns previously seen How To Use 1. Model: Determine if you want to use ARIMA (better for direction) or SARIMA (better for overall prediction). You can click on the 'Show Historic Prediction' to see the direction of the previous candles. Green = forecast ending up, red = forecast ending down 2. Metrics: The RMSE% and MAPE are 10 day moving averages of the first 10 predictions made at candle close. They're error metrics that compare the observed data with the predicted data. It is better to use them when they're below 8%. Higher timeframes will be higher, as these models are partly mean-reverting and higher TFs tend to trend more. Better to compare RMSE% and MAPE with similar timeframes. They naturally lag as data is being collected 3. Parameter selection: The simpler, the better. Both are used for ARIMA(1,1,1) and SARIMA(1,1,1)(1,1,1)5. Increasing may cause overfitting 4. Training period: Keep at 50. Because of limitations in pine, higher values do not make for more powerful forecasts. They will only criminally lag. So best to keep between 20 and 80
Indikator Pine Script®
oleh stormeta
8
BTC vs ALT Lag Detector [MEXC Overlay]This indicator monitors the price movement of Bitcoin (BTC) and compares it in real time to a customizable list of major altcoins on the MEXC exchange. It helps you identify lagging altcoins — tokens that are underperforming or overperforming BTC’s price action over a selected timeframe. These temporary deviations can offer profitable entry or rotation opportunities, especially for scalpers, day traders, and arbitrage-style strategies. Key Features: - Real-time deviation detection between BTC and altcoins - Customizable comparison timeframe: 1m, 6m, 12m, 30m, 1h, 4h, or 1d - Deviation threshold alert: Highlights coins that lag BTC by more than 0.5%, 1%, 2%, or 3% - Compact stats table embedded in the price chart - Fully adjustable layout: Table position (Top/Bottom/Center + Left/Right), Font size (Tiny, Small, Medium) - Built-in alert system when deviation exceeds your chosen threshold How to Use It: Set your desired timeframe for comparison (e.g., 1 hour). Select a deviation threshold (e.g., 1.0%). The table will show: Each altcoin’s % change BTC’s % change The delta (deviation) vs BTC Red highlights indicate alts whose deviation exceeded the threshold. When at least one alt lags beyond your threshold, the indicator can trigger an alert — helping you capitalize on potential catch-up trades. Please provide any feedback on it.
Indikator Pine Script®
oleh ArmandoTrevino
1
Best SMA FinderThis script, Best SMA Finder, is a tool designed to identify the most robust simple moving average (SMA) length for a given chart, based on historical backtest performance. It evaluates hundreds of SMA values (from 10 to 1000) and selects the one that provides the best balance between profitability, consistency, and trade frequency. What it does: The script performs individual backtests for each SMA length using either "Long Only" or "Buy & Sell" logic, as selected by the user. For each tested SMA, it computes: - Total number of trades - Profit Factor (total profits / total losses) - Win Rate - A composite Robustness Score, which integrates Profit Factor, number of trades (log-scaled), and win rate. Only SMA configurations that meet the user-defined minimum trade count are considered valid. Among all valid candidates, the script selects the SMA length with the highest robustness score and plots it on the chart. How to use it: - Choose the strategy type: "Long Only" or "Buy & Sell" - Set the minimum trade count to filter out statistically irrelevant results - Enable or disable the summary stats table (default: enabled) The selected optimal SMA is plotted on the chart in blue. The optional table in the top-right corner shows the corresponding SMA length, trade count, Profit Factor, Win Rate, and Robustness Score for transparency. Key Features: - Exhaustive SMA optimization across 991 values - Customizable trade direction and minimum trade filters - In-chart visualization of results via table and plotted optimal SMA - Uses a custom robustness formula to rank SMA lengths Use cases: Ideal for traders who want to backtest and auto-select a historically effective SMA without manual trial-and-error. Useful for swing and trend-following strategies across different timeframes. 📌 Limitations: - Not a full trading strategy with position sizing or stop-loss logic - Only one entry per direction at a time is allowed - Designed for exploration and optimization, not as a ready-to-trade system This script is open-source and built entirely from original code and logic. It does not replicate any closed-source script or reuse significant external open-source components.
Indikator Pine Script®
oleh Julien_Exe
39
Bitcoin Monthly Seasonality [Alpha Extract]The Bitcoin Monthly Seasonality indicator analyzes historical Bitcoin price performance across different months of the year, enabling traders to identify seasonal patterns and potential trading opportunities. This tool helps traders: Visualize which months historically perform best and worst for Bitcoin. Track average returns and win rates for each month of the year. Identify seasonal patterns to enhance trading strategies. Compare cumulative or individual monthly performance. 🔶 CALCULATION The indicator processes historical Bitcoin price data to calculate monthly performance metrics Monthly Return Calculation Inputs: Monthly open and close prices. User-defined lookback period (1-15 years). Return Types: Percentage: (monthEndPrice / monthStartPrice - 1) × 100 Price: monthEndPrice - monthStartPrice Statistical Measures Monthly Averages: ◦ Average return for each month calculated from historical data. Win Rate: ◦ Percentage of positive returns for each month. Best/Worst Detection: ◦ Identifies months with highest and lowest average returns. Cumulative Option Standard View: Shows discrete monthly performance. Cumulative View: Shows compounding effect of consecutive months. Example Calculation (Pine Script): monthReturn = returnType == "Percentage" ? (monthEndPrice / monthStartPrice - 1) * 100 : monthEndPrice - monthStartPrice calcWinRate(arr) => winCount = 0 totalCount = array.size(arr) if totalCount > 0 for i = 0 to totalCount - 1 if array.get(arr, i) > 0 winCount += 1 (winCount / totalCount) * 100 else 0.0 🔶 DETAILS Visual Features Monthly Performance Bars: ◦ Color-coded bars (teal for positive, red for negative returns). ◦ Special highlighting for best (yellow) and worst (fuchsia) months. Optional Trend Line: ◦ Shows continuous performance across months. Monthly Axis Labels: ◦ Clear month names for easy reference. Statistics Table: ◦ Comprehensive view of monthly performance metrics. ◦ Color-coded rows based on performance. Interpretation Strong Positive Months: Historically bullish periods for Bitcoin. Strong Negative Months: Historically bearish periods for Bitcoin. Win Rate Analysis: Higher win rates indicate more consistently positive months. Pattern Recognition: Identify recurring seasonal patterns across years. Best/Worst Identification: Quickly spot the historically strongest and weakest months. 🔶 EXAMPLES The indicator helps identify key seasonal patterns Bullish Seasons: Visualize historically strong months where Bitcoin tends to perform well, allowing traders to align long positions with favorable seasonality. Bearish Seasons: Identify historically weak months where Bitcoin tends to underperform, helping traders avoid unfavorable periods or consider short positions. Seasonal Strategy Development: Create trading strategies that capitalize on recurring monthly patterns, such as entering positions in historically strong months and reducing exposure during weak months. Year-to-Year Comparison: Assess how current year performance compares to historical seasonal patterns to identify anomalies or confirmation of trends. 🔶 SETTINGS Customization Options Lookback Period: Adjust the number of years (1-15) used for historical analysis. Return Type: Choose between percentage returns or absolute price changes. Cumulative Option: Toggle between discrete monthly performance or cumulative effect. Visual Style Options: Bar Display: Enable/disable and customize colors for positive/negative bars, Line Display: Enable/disable and customize colors for trend line, Axes Display: Show/hide reference axes. Visual Enhancement: Best/Worst Month Highlighting: Toggle special highlighting of extreme months, Custom highlight colors for best and worst performing months. The Bitcoin Monthly Seasonality indicator provides traders with valuable insights into Bitcoin's historical performance patterns throughout the year, helping to identify potentially favorable and unfavorable trading periods based on seasonal tendencies.
Indikator Pine Script®
oleh AlphaExtract
5
DEMA HMA Z-score OscillatorThis custom oscillator combines the power of the Hull Moving Average (HMA) with the Z-Score to identify momentum shifts and potential trend reversals. The Z-Score measures how far the current HMA is from its historical mean, helping to spot overbought or oversold conditions. Uptrend: Long signals are generated when the Z-Score crosses above the defined Long Threshold. Downtrend: Short signals are triggered when the Z-Score drops below the Short Threshold. Visuals: The Z-Score is plotted along with background color changes and fills to clearly indicate trend strength. Green fills highlight uptrends, while pink fills indicate downtrends. Alerts: Alerts are available for both long and short conditions based on Z-Score crossovers. Customizable Inputs: HMA Length Smoothing Length (for DEMA) Z-Score Length Long and Short Thresholds This indicator is ideal for detecting momentum shifts, confirming trend strength, and helping to time entry/exit points in your trading strategy.
Indikator Pine Script®
oleh EarthlyExile
1
Ticker DataThis script mostly for Pine coders but may be useful for regular users too. I often find myself needing quick access to certain information about a ticker — like its full ticker name, mintick, last bar index and so on. Usually, I write a few lines of code just to display this info and check it. Today I got tired of doing that manually, so I created a small script that shows the most essential data in one place. I also added a few extra fields that might be useful or interesting to regular users. Description for regular users (from Pine Script Reference Manual) tickerid - full ticker name description - description for the current symbol industry - the industry of the symbol. Example: "Internet Software/Services", "Packaged software", "Integrated Oil", "Motor Vehicles", etc. country - the two-letter code of the country where the symbol is traded sector - the sector of the symbol. Example: "Electronic Technology", "Technology services", "Energy Minerals", "Consumer Durables", etc. session - session type (regular or extended) timezone - timezone of the exchange of the chart type - the type of market the symbol belongs to. Example: "stock", "fund", "index", "forex", "futures", "spread", "economic", "fundamental", "crypto". volumetype - volume type of the current symbol. mincontract - the smallest amount of the current symbol that can be traded mintick - min tick value for the current symbol (the smallest increment between a symbol's price movements) pointvalue - point value for the current symbol pricescale - a whole number used to calculate mintick (usually (when minmove is 1), it shows the resolution — how many decimal places the price has. For example, a pricescale 100 means the price will have two decimal places - 1 / 100 = 0.01) bar index - last bar index (if add 1 (because indexes starts from 0) it will shows how many bars available to you on the chart) If you need some more information at table feel free to leave a comment.
Indikator Pine Script®
oleh NoveltyTrade
Reverse Keltner Channel StrategyReverse Keltner Channel Strategy Overview The Reverse Keltner Channel Strategy is a mean-reversion trading system that capitalizes on price movements between Keltner Channels. Unlike traditional Keltner Channel strategies that trade breakouts, this system takes the contrarian approach by entering positions when price returns to the channel after overextending. Strategy Logic Long Entry Conditions: Price crosses above the lower Keltner Channel from below This signals a potential reversal after an oversold condition Position is entered at market price upon signal confirmation Long Exit Conditions: Take Profit: Price reaches the upper Keltner Channel Stop Loss: Placed at half the channel width below entry price Short Entry Conditions: Price crosses below the upper Keltner Channel from above This signals a potential reversal after an overbought condition Position is entered at market price upon signal confirmation Short Exit Conditions: Take Profit: Price reaches the lower Keltner Channel Stop Loss: Placed at half the channel width above entry price Key Features Mean Reversion Approach: Takes advantage of price tendency to return to mean after extreme moves Adaptive Stop Loss: Stop loss dynamically adjusts based on market volatility via ATR Visual Signals: Entry points clearly marked with directional triangles Fully Customizable: All parameters can be adjusted to fit various market conditions Customizable Parameters Keltner EMA Length: Controls the responsiveness of the channel (default: 20) ATR Multiplier: Determines channel width/sensitivity (default: 2.0) ATR Length: Affects volatility calculation period (default: 10) Stop Loss Factor: Adjusts risk management aggressiveness (default: 0.5) Best Used On This strategy performs well on: Currency pairs with defined ranging behavior Commodities that show cyclical price movements Higher timeframes (4H, Daily) for more reliable signals Markets with moderate volatility Risk Management The built-in stop loss mechanism automatically adjusts to market conditions by calculating position risk relative to the current channel width. This approach ensures that risk remains proportional to potential reward across varying market conditions. Notes for Optimization Consider adjusting the EMA length and ATR multiplier based on the specific asset and timeframe: Lower values increase sensitivity and generate more signals Higher values produce fewer but potentially more reliable signals As with any trading strategy, thorough backtesting is recommended before live implementation. Past performance is not indicative of future results. Always practice sound risk management.
Strategi Pine Script®
oleh fenyesk
Central Bank Assets YoY % with StdDev BandsCentral Bank Assets YoY % with StdDev Bands - Indicator Documentation Overview This indicator tracks the year-over-year (YoY) percentage change in combined central bank assets using a custom formula. It displays the annual growth rate along with statistical bands showing when the growth is significantly above or below historical norms. Formula Components The indicator is based on a custom symbol combining multiple central bank balance sheets: Federal Reserve balance sheet (FRED) Bank of Japan assets converted to USD (FX_IDC*FRED) European Central Bank assets converted to USD (FX_IDC*FRED) Subtracting Fed reverse repo operations (FRED) Subtracting Treasury General Account (FRED) Calculations Year-over-Year Percentage Change: Calculates the percentage change between the current value and the value from exactly one year ago (252 trading days). Formula: ((current - year_ago) / year_ago) * 100 Statistical Measures: Mean (Average): The 252-day simple moving average of the YoY percentage changes Standard Deviation: The 252-day standard deviation of YoY percentage changes Display Components The indicator displays: Main Line: YoY percentage change (green when positive, red when negative) Zero Line: Reference line at 0% (gray dashed) Mean Line: Average YoY change over the past 252 days (blue) Standard Deviation Bands: Shows +/- 1 standard deviation from the mean Upper band (+1 StdDev): Green, line with breaks style Lower band (-1 StdDev): Red, line with breaks style Interpretation Values above zero indicate YoY growth in central bank assets Values below zero indicate YoY contraction Values above the +1 StdDev line indicate unusually strong growth Values below the -1 StdDev line indicate unusually severe contraction Crossing above/below the mean line can signal shifts in central bank policy trends Usage This indicator is useful for: Monitoring global central bank liquidity trends Identifying unusual periods of balance sheet expansion/contraction Analyzing correlations between central bank activity and market performance Anticipating potential market impacts from changes in central bank policy The 252-day lookback period (approximately one trading year) provides a balance between statistical stability and responsiveness to changing trends in central bank behavior.
Indikator Pine Script®
oleh luca_badoer
Z-Score Trend Monitor [EdgeTerminal]The Z-Score Trend Monitor measures how far the short-term moving average deviates from the long-term moving average using the spread difference of the two — in standardized units. It’s designed to detect overextension, momentum exhaustion, and potential mean-reversion points by converting the spread between two moving averages into a normalized Z-score and tracking its change and direction over time. The idea behind this is to catch the changes in the direction of a trend earlier than the usual and lagging moving average lines, allowing you to react faster. The math behind the indicator itself is very simple. We take the simple moving average of the spread between a long term and short term moving average, and divide it by the difference between the spread and spread mean. This results in a relatively accurate and early acting trend detector that can easily identify overbought and oversold levels in any timeframe. From our own testing, we recommend using this indicator as a trend confirmation tool. How to Use It: Keep an eye on the Z-Score or the blue line. When it goes over 2, it indicates an overbought or near top level, and when it goes below -2, it indicates an oversold or near bottom. When Z-Score returns to zero or grey line, it suggests mean reversion is in progress. You can also change the Z-Score criteria from 2 and -2 in the settings to any number you’d like for tighter or wider levels. For scalping and fast trading setups, we recommend shorter SMAs, such as 5 and 20, and for longer trading setups such as swing trades, we recommend 20 and 100. Settings: Short SMA: Lookback period of short term simple moving average for the lower side of the SMA spread. Short Term Weight: Additional weight or multiplier to suppress the short term SMA calculation. This is used to refine the SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the short SMA field. Long SMA: Lookback period of long term simple moving average for the upper side of the SMA spread. Long Term Weight: Additional weight or multiplier to suppress the long term SMA calculation. This is used to refine the long SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the long SMA field. Z-Score Threshold: The threshold for upper (oversold) and lower (overbought) levels. This can also be set individually from the style page. Z-Score Lookback Window: The lookback period to calculate spread mean and spread standard deviation
Indikator Pine Script®
oleh EdgeTerminal
Daily Breakout + Daily Shadow By RouroThis script is a Pine v5 strategy designed to detect daily candle body breakouts and execute them on any intraday timeframe, while also providing: Daily Data Retrieval Using request.security(..., "D", ...) it fetches the OHLC and timestamp of the daily candle, regardless of the chart’s current timeframe. Calculation of Yesterday’s and Day-Before-Yesterday’s Bodies b1High and b1Low → the high/low of yesterday’s daily candle body b2High and b2Low → the high/low of the previous day’s body Detection of the First Intraday Bar After a New Day By using ta.change(time("D")), it marks the start of each new trading day. Drawing the Previous Day’s “Shadow” on the Chart It overlays a box (box.new) and two wick lines (line.new) with configurable colors and transparency, so you can clearly see the full range of yesterday’s candle on any intraday chart. Automatic End-of-Day Position Closure It will automatically close any open position at the start of the next day to avoid unintended rollovers. Entry Signals On the very first intraday bar after the daily close: Long if yesterday’s close broke above the body of the day before yesterday Short if yesterday’s close broke below the body of the day before yesterday …which triggers a strategy.entry at the intraday open. Fully Customizable Stop-Loss and Take-Profit SL options: Opposite end of yesterday’s body Fixed pips from entry A risk-reward ratio on yesterday’s wick Optional “safety SL” in fixed pips that overrides the above TP options: Fixed pips Yesterday’s wick extreme (high/low) Partial exit on the wick (TP1), then second exit (TP2) either: At a multiplied RR Or at the daily close (“Close of Day”) You can also choose to move SL to breakeven after TP1 is hit. Live Metrics Table In the upper-right corner it displays in real time: Start of backtest (date of first trade) Number of ✅ Winning trades and ❌ Losing trades Total number of trades Win rate (%) Profit Factor All within a fixed table layout so it never runs out of rows or columns.
Strategi Pine Script®
oleh rouro33
1
True Strength Index (TSI)%📌 Script Name: TSI Percentuale This script is a custom True Strength Index (TSI) indicator that expresses momentum strength as a percentage from 0% to 100%, instead of the traditional TSI scale. ✅ What the Script Does Calculates the standard TSI: Uses double exponential smoothing of price changes and their absolute values. Formula: TSI_raw = 100 × DoubleSmoothed(ΔPrice) DoubleSmoothed(|ΔPrice|) TSI_raw=100× DoubleSmoothed(|ΔPrice|) DoubleSmoothed(ΔPrice) ​ Normalizes TSI to a percentile scale: Over a user-defined lookback period, the script finds the lowest and highest TSI values. It then rescales the current TSI to a value between 0% (minimum) and 100% (maximum). 50% represents neutral momentum (i.e., "flat"). Plots the result: tsi_percent is plotted as a blue line. Horizontal dashed/dotted lines are drawn at: 0% → strong downward momentum 50% → neutral 100% → strong upward momentum ⚙️ Inputs Long Length: Long EMA smoothing period (default: 25) Short Length: Short EMA smoothing period (default: 13) Signal Length: (not used in this version, can be removed or extended) Lookback Period: Number of bars to calculate min/max normalization (default: 100) 🧠 Why Use This Indicator The classic TSI ranges around and can be hard to interpret. This version makes TSI visually intuitive by converting it to percentile form, allowing easier comparison of momentum strength across time and instruments. It’s particularly useful for defining zones like: Above 70% = strong bullish Below 30% = strong bearish
Indikator Pine Script®
oleh Abram07
Daily ATR Bonanza: Expected Moves - Tr33man      Daily ATR Bonanza: Expected Moves Overview 🤷‍♂️ The Daily ATR Bonanza script is a powerful trading tool designed to help traders visualize and understand potential price movements using the Average True Range (ATR). It provides daily and weekly ATR levels, historical statistics, and conditional probability analysis to give traders actionable insights. The script also plots the daily Keltner channel. This script is ideal for traders who want to gauge volatility, identify key levels, and make data-driven decisions. b]Key Features: 📈 1. Daily and Weekly ATR Levels  🔵ATR Levels: The script calculates and displays ATR-based levels for the day and week. These levels are derived from the previous day's or week's close price and are adjusted using customizable multipliers (0.5x, 1x, and 1.5x by default).  🔵You can choose the number of ATR levels (1, 2, or 3) and adjust the multipliers to suit your trading strategy. 🌐 2. ATR Bands (Keltner Channels)  🔵The script includes an option to display ATR Bands, which are volatility-based envelopes around a moving average. These bands help identify overbought and oversold conditions.  🔵You can adjust the ATR multiplier and the length of the moving average used for the bands. 🧮 3. Historical Statistics and Conditional Probability  🔵 Historical Analysis: The script analyzes historical price movements to calculate the likelihood of closing at certain ATR levels.  🔵 Conditional Probability: This feature shows the probability of the price reaching specific ATR levels given the current market conditions. The conditional matches historical data by an open in the same opening ATR bucket, as well as the current price bucket having been visited in the historical case. Conditional probabilities are just statistics, and do not predict anything. Data Table: 📚  🔵 Historical Close Probability: The percentage of days the price closed within each ATR level.  🔵 Conditional Close Probability: The likelihood of the price closing within each ATR level today. ❓ What is Conditional Probability? ❓ Conditional probability is a statistical measure that calculates the likelihood of an event occurring given that another event has already occurred. In this script, it is used to determine the probability of the price reaching specific ATR levels based on the current opening range as well as current ATR distance from the previous close. For example: If the market opens near the lower end of the first ATR level, the script calculates the likelihood of the price reaching the upper end of the first, second, or third ATR level. This analysis is based on historical data, making it a powerful tool for understanding potential price movements. 🌟 Understanding the Levels  🔵Daily Levels: These are based on the previous day's close price and ATR. They are updated at the start of each new day.  🔵Weekly Levels: These are based on the previous week's close price and ATR. They are updated at the start of each new week.  🔵ATR Bands: These are dynamic levels that adjust with market volatility. 🔬 Analyze the Statistics (Daily only for now, no weekly yet)  🔵Use the interactive table to understand historical probabilities and conditional probabilities.  🔵Focus on the current opening range and the likelihood of reaching specific levels. 🧠 Make Trading Decisions  🔵Use the ATR levels and bands to identify key support and resistance levels.  🔵Use the conditional probability table to gauge the likelihood of reaching specific targets.  🔵Adjust your strategy based on the historical performance of the market. Example Use Cases 1. Day Trading Use the daily ATR levels to set intraday targets and stop-loss levels. Monitor the conditional probability table to adjust your expectations based on the opening range. 2. Swing Trading Use the weekly ATR levels to identify longer-term support and resistance levels. 3. Scalping Use the ATR bands to identify overbought and oversold conditions. Use the conditional probability table to quickly assess the likelihood of price movements.
Indikator Pine Script®
oleh Tr33man
11
ETF Builder & Backtest System [TradeDots]Create, analyze, and monitor your own custom “ETF-like” portfolio directly on TradingView. This script merges up to 10 different assets with user-defined weightings into a single composite chart, allowing you to see how your personalized portfolio would have performed historically. It is an original tool designed to help traders and investors quickly gauge risk and return profiles without leaving the TradingView platform. 📝 HOW IT WORKS 1. Custom Portfolio Construction Multiple Assets : Combine up to 10 different stocks, ETFs, cryptocurrencies, or other symbols. User-Defined Weights : Allocate each asset a percentage weight (e.g., 15% in AAPL, 10% in MSFT, etc.). Single Composite Value : The script calculates a weighted “ETF-style” price, effectively simulating a merged portfolio curve on your chart. 2. Performance Tracking & Return Analysis Automatic History Capture : The indicator records each asset’s starting price when it first appears in your chosen date range. Rolling Updates : As time progresses, all asset prices are continually evaluated and the portfolio value is updated in real time. Buy & Hold Returns : See how each asset—and the overall portfolio—performed from the “start” date to the most recent bar. Annualized Return : Automatically calculates CAGR (Compound Annual Growth Rate) to help visualize performance over varying timescales. 3. Table & Visual Output Performance Table : A comprehensive table displays individual asset returns, annualized returns, and portfolio totals. Normalized Chart Plot : The composite ETF value is scaled to 100 at the start date, making it easy to compare relative growth or decline. Optional Time Filter : You can define a specific date range (Start/End Dates) to focus on a particular period or to limit historical data. ⚙️ KEY FEATURES 1. Flexible Asset Selection Choose any symbols from multiple asset classes. The script will only run calculations when data is available—no need to worry about missing quotes. 2. Dynamic Table Reporting Start Price for each asset Percentage Weight in the portfolio Total Return (%) and Annualized Return (%) 3. Simple Backtesting Logic This script takes a straightforward Buy & Hold perspective. Once the start date is reached, the portfolio remains static until the end date, so you can quickly assess hypothetical growth. 4. Plot Customization Toggle the main “ETF” plot on/off. Alter the visual style for tables and text. Adjust the time filter to limit or extend your performance measurement window. 🚀 HOW TO USE IT 1. Add the Script Search for “ETF Builder & Backtest System ” in the Indicators & Strategies tab or manually add it to your chart after saving it in your Pine Editor. 2. Configure Inputs Enable Time Filter : Choose whether to restrict the analysis to a particular date range. Start & End Date : Define the period you want to measure performance over (e.g., from 2019-12-31 to 2025-01-01). Assets & Weights : Enter each symbol and specify a percentage weight (up to 10 assets). Display Options : Pick where you want the Table to appear and choose background/text colors. 3. Interpret the Table & Plots Asset Rows : Each asset’s ticker, weighting, start price, and performance metrics. ETF Total Row : Summarizes total weighting, composite starting value, and overall returns. Normalized Plot : Tracks growth/decline of the combined portfolio, starting at 100 on the chart. 4. Refine Your Strategy Compare how different weights or a new mix of assets would have performed over the same period. Assess if certain assets contribute disproportionately to your returns or volatility. Use the results to guide allocations in your real trading or paper trading accounts. ❗️LIMITATIONS 1. Buy & Hold Only This script does not handle rebalancing or partial divestments. Once the portfolio starts, weights remain fixed throughout the chosen timeframe. 2. No Reinvestment Tracking Dividends or other distributions are not factored into performance. 3. Data Availability If historical data for a particular asset is unavailable on TradingView, related results may display as “N/A.” 4. Market Regimes & Volatility Past performance does not guarantee similar future behavior. Markets can change rapidly, which may render historical backtests less predictive over time. ⚠️ RISK DISCLAIMER Trading and investing carry significant risk and can result in financial loss. The “ETF Builder & Backtest System ” is provided for informational and educational purposes only. It does not constitute financial advice. Always conduct your own research. Use proper risk management and position sizing. Past performance does not guarantee future results. This script is an original creation by TradeDots, published under the Mozilla Public License 2.0. Use this indicator as part of a broader trading or investment approach—consider fundamental and technical factors, overall market context, and personal risk tolerance. No trading tool can assure profits; exercise caution and responsibility in all financial decisions.
Indikator Pine Script®
oleh tradedots
1