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Correction

ICC Market Structure and Phase TrackingICC Market Structure and Phase Tracker ICC Market Structure and Phase Tracker is a visual market-structure indicator based on the Indication → Correction → Continuation (ICC) framework — a structured approach to analyzing break-of-structure, pullback, consolidation, and trend-continuation phases. The script focuses on identifying structural phases, key levels, and phase transitions across multiple timeframes, providing clear contextual market structure information. What the Indicator Identifies The indicator tracks complete market-structure cycles by classifying price action into the following phases: Indication — initial structural break or trend initiation Correction — pullback, retracement, or consolidation following the break Continuation — expansion or impulse in the direction of structure Neutral / No Setup — periods without valid structural conditions Each phase is visually distinguished on the chart for fast, at-a-glance structural awareness. CORE FEATURES Market Structure & Phase Tracking Automatic detection of structural breaks, corrections, consolidations, and continuations Background shading to clearly distinguish phases Invalidation logic to identify failed or broken structures Multi-Timeframe Context Optional higher-timeframe (HTF) structure displayed on lower-timeframe charts HTF indication levels shown as reference lines HTF phase and context displayed in the information table Structure Event Visualization Visual markers for continuation and optional reversal structures Clear visual separation between trend-aligned and counter-structure events Reversal structure visualization can be enabled or disabled in settings Volatility-Aware Structure Zones Structure-based support and resistance zones Optional ATR-based zone sizing that adapts to market volatility Configurable historical zones (0–3) with visual hierarchy Information Table Displays current ICC phase, indication level, consolidation status, and HTF context Designed for quick reference without relying solely on chart visuals Alerts Alerts trigger only when corresponding visual conditions appear on the chart Includes alerts for ICC phases, continuation structures, and optional reversals Configuration Overview Auto Profiles for different trading contexts (Scalping, Intraday, Swing, Entry) Manual controls for swing length, consolidation behavior, and volatility settings Higher-timeframe controls for filtering and visual alignment Reversal toggle to enable or disable counter-structure visualization Default settings are intended as reasonable starting points and can be adjusted for different instruments and timeframes. Intended Use This script is designed as a market-structure and contextual analysis tool. Users are expected to apply their own analysis, validation, and risk management when interpreting the displayed structure. Feedback Bug reports, edge cases, and constructive feedback are welcome. The project is actively refined with a focus on structure clarity, phase accuracy, and multi-timeframe usability.
אינדיקטור Pine Script®
מאת ‎jadetrue‎
11
Ultimate Major Contextual Dashboard (Multi-Asset)Overview : The Ultimate Major Dashboard is a performance-optimized market overview tool designed to provide a consolidated snapshot of the 7 major Forex pairs and Gold. It aggregates correlation, trend, momentum, and volatility data into a single, clean table, allowing users to view broader market context without switching charts. Technical Logic & Components : This indicator utilizes a modular function to analyze EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD, and XAUUSD across four key dimensions: Intermarket Correlation (Pearson Coefficient): Uses ta.correlation() to compare each asset against the symbol currently on your main chart. Logic: Values above 0.7 (Dark Green) suggest a strong positive relationship, while values below -0.7 (Dark Red) suggest inverse behavior. This is calculated over a rolling 50-period window to balance stability with current market sensitivity. Trend Bias (EMA-200): Evaluates the long-term trend by checking price position relative to the 200-period Exponential Moving Average. Visuals: An upward arrow (⬆) indicates price is above the EMA; a downward arrow (⬇) indicates it is below. Momentum (RSI-14): Calculates the Relative Strength Index. The dashboard automatically highlights readings above 70 (OB) or below 30 (OS) to help identify potential momentum extremes. Volatility (ATR-14): Displays the Average True Range as a reference for the current active range of each market, helping users compare volatility levels across the majors. How to Interpret the Dashboard Asset Alignment: Correlation values help identify when pairs are moving in "unison" versus when a specific currency is diverging from the group. Directional Context: Combining the Trend (EMA) and Momentum (RSI) columns provides a quick view of whether a market is trending strongly or reaching an exhaustion point. Volatility Benchmarking: The ATR values offer perspective on which pairs are currently the most active, assisting in market comparison based on volatility preference. Data Handling & Customization Multi-Symbol Sync: Data is fetched using request.security(). The calculations are synchronized with the chart's current bar state for real-time accuracy. Dynamic TF: Users can select the analysis timeframe (60, 240, D, W) via the settings menu. Flexibility: The dashboard position can be toggled between all four corners of the chart to avoid overlapping with price action. Disclaimer This tool is provided for analytical and educational purposes only. It does not generate trading signals and should not be considered financial advice.
אינדיקטור Pine Script®
מאת ‎HTDFR‎
Script_Algo - Fibo Correction Strategy🔹 Core Concept The strategy is built on combining Fibonacci retracement levels, candlestick pattern confirmation, and trend filtering for trade selection. It performs well on the 1-hour timeframe across many cryptocurrency pairs. Particularly on LINKUSDT over the past year and a half, despite the not very optimal 1:1 risk/reward ratio. The logic is simple: after a strong impulse move, the price often retraces to key Fibonacci levels (specifically, the 61.8% level). If a confirming candlestick (pattern) appears at this moment, the strategy looks for an entry in the direction of the main trend. 🔹 Indicators Used in the Strategy ATR (Average True Range) — Used to calculate the stop-loss and take-profit levels. EMA (9 and 21) — Additional moving averages for assessing the direction of movement (not directly used in entry conditions, but the logic can be expanded to include them). SMA (Trend Filter, 20 by default) — The trend direction filter. Trades are only opened in its direction. Fibonacci Levels — The 61.8% retracement level is calculated based on the high and low of the previous candle. 🔹 Entry Conditions 🟢 Long (Buy): Previous Candle: Must be green (close higher than open). Must have a body not smaller than a specified minimum. The upper wick must not exceed 30% of the body size. → This filters out "weak" or "indecisive" candles. Current Candle: Price touches or breaches the Fibonacci 61.8% retracement level from the previous range. Closes above this level. Closes above the Trend Filter (SMA) line. A position is opened only if there are no other open trades at the moment. 🔴 Short (Sell): Previous Candle: Must be red (close lower than open). Must have a body not smaller than a specified minimum. The lower wick must not exceed 30% of the body size. Current Candle: Price touches or breaches the Fibonacci 61.8% retracement level from the previous range. Closes below this level. Closes below the Trend Filter (SMA) line. A trade is opened only if there are no other open positions. 🔹 Risk Management Stop-Loss = ATR × multiplier (default is 5). Take-Profit = ATR × the same multiplier. Thus, the default risk/reward ratio is 1:1, but it can be easily adjusted by changing the coefficient. Although, strangely enough, this ratio has shown the best results on some assets on the 1-hour timeframe. 🔹 Chart Visualization Fibonacci level for Long — Green line with circles. Fibonacci level for Short — Red line with circles. Trend Filter line (SMA) — Blue. 🔹 Strengths of the Strategy ✅ Utilizes a proven market pattern — retracement to the 61.8% level. ✅ Further filters entries using trend and candlestick patterns. ✅ Simple, transparent logic that is easy to expand (e.g., adding other Fib levels, an EMA filter, etc.). 🔹 Limitations ⚠️ Performs better in trending markets; can generate false signals during ranging (sideways) conditions. ⚠️ The fixed 1:1 risk/reward ratio is not always optimal and could be refined. ⚠️ Performance depends on the selected timeframe and ATR parameters. 📌 Summary: The strategy seeks corrective entries in the direction of the trend, confirmed by candlestick patterns. It is versatile and can be applied to forex pairs, cryptocurrencies, and stocks. ⚠️ Not financial advice. Pay close attention to risk management to avoid blowing your account. The strategy is not repainting — I have personally verified it through real testing — but it may not necessarily replicate the same results in the future, as the market is constantly changing. Test it, profit, and good luck to everyone!
אסטרטגיית Pine Script®
מאת ‎Script_Algo‎
2
Correlation HeatMap Matrix Data [TradingFinder]🔵 Introduction Correlation is a statistical measure that shows the degree and direction of a linear relationship between two assets. Its value ranges from -1 to +1 : +1 means perfect positive correlation, 0 means no linear relationship, and -1 means perfect negative correlation. In financial markets, correlation is used for portfolio diversification, risk management, pairs trading, intermarket analysis, and identifying divergences. Correlation HeatMap Matrix Data TradingFinder is a Pine Script v6 library that calculates and returns raw correlation matrix data between up to 20 symbols. It only provides the data – it does not draw or render the heatmap – making it ideal for use in other scripts that handle visualization or further analysis. The library uses ta.correlation for fast and accurate calculations. It also includes two helper functions for visual styling : CorrelationColor(corr) : takes the correlation value as input and generates a smooth gradient color, ranging from strong negative to strong positive correlation. CorrelationTextColor(corr) : takes the correlation value as input and returns a text color that ensures optimal contrast over the background color. Library "Correlation_HeatMap_Matrix_Data_TradingFinder" CorrelationColor(corr)   Parameters:      corr (float) CorrelationTextColor(corr)   Parameters:      corr (float) Data_Matrix(Corr_Period, Sym_1, Sym_2, Sym_3, Sym_4, Sym_5, Sym_6, Sym_7, Sym_8, Sym_9, Sym_10, Sym_11, Sym_12, Sym_13, Sym_14, Sym_15, Sym_16, Sym_17, Sym_18, Sym_19, Sym_20)   Parameters:      Corr_Period (int)      Sym_1 (string)      Sym_2 (string)      Sym_3 (string)      Sym_4 (string)      Sym_5 (string)      Sym_6 (string)      Sym_7 (string)      Sym_8 (string)      Sym_9 (string)      Sym_10 (string)      Sym_11 (string)      Sym_12 (string)      Sym_13 (string)      Sym_14 (string)      Sym_15 (string)      Sym_16 (string)      Sym_17 (string)      Sym_18 (string)      Sym_19 (string)      Sym_20 (string) 🔵 How to use Import the library into your Pine Script using the import keyword and its full namespace. Decide how many symbols you want to include in your correlation matrix (up to 20). Each symbol must be provided as a string, for example FX:EURUSD . Choose the correlation period (Corr\_Period) in bars. This is the lookback window used for the calculation, such as 20, 50, or 100 bars. Call Data_Matrix(Corr_Period, Sym_1, ..., Sym_20) with your selected parameters. The function will return an array containing the correlation values for every symbol pair (upper triangle of the matrix plus diagonal). For example : var string Sym_1 = '' , var string Sym_2 = '' , var string Sym_3 = '' , var string Sym_4 = '' , var string Sym_5 = '' , var string Sym_6 = '' , var string Sym_7 = '' , var string Sym_8 = '' , var string Sym_9 = '' , var string Sym_10 = '' var string Sym_11 = '', var string Sym_12 = '', var string Sym_13 = '', var string Sym_14 = '', var string Sym_15 = '', var string Sym_16 = '', var string Sym_17 = '', var string Sym_18 = '', var string Sym_19 = '', var string Sym_20 = '' switch Market 'Forex' => Sym_1 := 'EURUSD' , Sym_2 := 'GBPUSD' , Sym_3 := 'USDJPY' , Sym_4 := 'USDCHF' , Sym_5 := 'USDCAD' , Sym_6 := 'AUDUSD' , Sym_7 := 'NZDUSD' , Sym_8 := 'EURJPY' , Sym_9 := 'EURGBP' , Sym_10 := 'GBPJPY' ,Sym_11 := 'AUDJPY', Sym_12 := 'EURCHF', Sym_13 := 'EURCAD', Sym_14 := 'GBPCAD', Sym_15 := 'CADJPY', Sym_16 := 'CHFJPY', Sym_17 := 'NZDJPY', Sym_18 := 'AUDNZD', Sym_19 := 'USDSEK' , Sym_20 := 'USDNOK' 'Stock' => Sym_1 := 'NVDA' , Sym_2 := 'AAPL' , Sym_3 := 'GOOGL' , Sym_4 := 'GOOG' , Sym_5 := 'META' , Sym_6 := 'MSFT' , Sym_7 := 'AMZN' , Sym_8 := 'AVGO' , Sym_9 := 'TSLA' , Sym_10 := 'BRK.B' ,Sym_11 := 'UNH' , Sym_12 := 'V' , Sym_13 := 'JPM' , Sym_14 := 'WMT' , Sym_15 := 'LLY' , Sym_16 := 'ORCL', Sym_17 := 'HD' , Sym_18 := 'JNJ' , Sym_19 := 'MA' , Sym_20 := 'COST' 'Crypto' => Sym_1 := 'BTCUSD' , Sym_2 := 'ETHUSD' , Sym_3 := 'BNBUSD' , Sym_4 := 'XRPUSD' , Sym_5 := 'SOLUSD' , Sym_6 := 'ADAUSD' , Sym_7 := 'DOGEUSD' , Sym_8 := 'AVAXUSD' , Sym_9 := 'DOTUSD' , Sym_10 := 'TRXUSD' ,Sym_11 := 'LTCUSD' , Sym_12 := 'LINKUSD', Sym_13 := 'UNIUSD', Sym_14 := 'ATOMUSD', Sym_15 := 'ICPUSD', Sym_16 := 'ARBUSD', Sym_17 := 'APTUSD', Sym_18 := 'FILUSD', Sym_19 := 'OPUSD' , Sym_20 := 'USDT.D' 'Custom' => Sym_1 := Sym_1_C , Sym_2 := Sym_2_C , Sym_3 := Sym_3_C , Sym_4 := Sym_4_C , Sym_5 := Sym_5_C , Sym_6 := Sym_6_C , Sym_7 := Sym_7_C , Sym_8 := Sym_8_C , Sym_9 := Sym_9_C , Sym_10 := Sym_10_C ,Sym_11 := Sym_11_C, Sym_12 := Sym_12_C, Sym_13 := Sym_13_C, Sym_14 := Sym_14_C, Sym_15 := Sym_15_C, Sym_16 := Sym_16_C, Sym_17 := Sym_17_C, Sym_18 := Sym_18_C, Sym_19 := Sym_19_C , Sym_20 := Sym_20_C = Corr.Data_Matrix(Corr_period, Sym_1 ,Sym_2 ,Sym_3 ,Sym_4 ,Sym_5 ,Sym_6 ,Sym_7 ,Sym_8 ,Sym_9 ,Sym_10,Sym_11,Sym_12,Sym_13,Sym_14,Sym_15,Sym_16,Sym_17,Sym_18,Sym_19,Sym_20) Loop through or index into this array to retrieve each correlation value for your custom layout or logic. Pass each correlation value to CorrelationColor() to get the corresponding gradient background color, which reflects the correlation’s strength and direction (negative to positive). For example : Corr.CorrelationColor(SYM_3_10) Pass the same correlation value to CorrelationTextColor() to get the correct text color for readability against that background. For example : Corr.CorrelationTextColor(SYM_1_1) Use these colors in a table or label to render your own heatmap or any other visualization you need.
ספריית Pine Script®
מאת ‎TFlab‎
1
Official USD Staggered Bands - ArgentinaOfficial USD Staggered Bands - Argentina The Central Bank, under the administration of Javier Milei (La Libertad Avanza), announced on Friday, April 11, 2025, a series of measures to eliminate the so-called "exchange rate restriction." In this new phase, the dollar's exchange rate on the Free Exchange Market (MLC) will be able to fluctuate within a band between $1,000 and $1,400 , the limits of which will be expanded at a rate of 1% monthly. The lines evolve daily, increasing as the public administration predicts. This way, you can know the likelihood of a Central Bank intervention to correct the variation and return the peso to a price within the band. The script runs under the ticker USDARS
אינדיקטור Pine Script®
מאת ‎arielm00‎
is_strategyCorrection-Adaptive Trend Strategy (Open-Source) Core Advantage: Designed specifically for the is_correction indicator, with full transparency and customization options. Key Features: Open-Source Code: ✅ Full access to the strategy logic – study how every trade signal is generated. ✅ Freedom to customize – modify entry/exit rules, risk parameters, or add new indicators. ✅ No black boxes – understand and trust every decision the strategy makes. Built for is_correction: Filters out false signals during market noise. Works only in confirmed trends (is_correction = false). Adaptable for Your Needs: Change Take Profit/Stop Loss ratios directly in the code. Add alerts, notifications, or integrate with other tools (e.g., Volume Profile). For Developers/Traders: Use the code as a template for your own strategies. Test modifications risk-free on historical data. How the Strategy Works: Main Goal: Automatically buys when the price starts rising and sells when it starts falling, but only during confirmed trends (ignoring temporary pullbacks). What You See on the Chart: 📈 Up arrows ▼ (below the candle) = Buy signal. 📉 Down arrows ▲ (above the candle) = Sell signal. Gray background = Market is in a correction (no trades). Key Mechanics: Buy Condition: Price closes higher than the previous candle + is_correction confirms the main trend (not a pullback). Example: Red candle → green candle → ▼ arrow → buy. Sell Condition: Price closes lower than the previous candle + is_correction confirms the trend (optional: turn off short-selling in settings). Exit Rules: Closes trades automatically at: +0.5% profit (adjustable in settings). -0.5% loss (adjustable). Or if a reverse signal appears (e.g., sell signal after a buy). User-Friendly Settings: Sell – On (default: ON): ON → Allows short-selling (selling when price falls). OFF → Strategy only buys and closes positions. Revers (default: OFF): ON → Inverts signals (▼ = sell, ▲ = buy). %Profit & %Loss: Adjust these values (0-30%) to increase/decrease profit targets and risk. Example Scenario: Buy Signal: Price rises for 3 days → green ▼ arrow → strategy buys. Stop loss set 0.5% below entry price. If price keeps rising → trade closes at +0.5% profit. Correction Phase: After a rally, price drops for 1 day → gray background → strategy ignores the drop (no action). Stop Loss Trigger: If price drops 0.5% from entry → trade closes automatically. Key Features: Correction Filter (is_correction): Acts as a “noise filter” → avoids trades during temporary pullbacks. Flexibility: Disable short-selling, flip signals, or tweak profit/loss levels in seconds. Transparency: Open-source code → see exactly how every signal is generated (click “Source” in TradingView). Tips for Beginners: Test First: Run the strategy on historical data (click the “Chart” icon in TradingView). See how it performed in the past. Customize It: Increase %Profit to 2-3% for volatile assets like crypto. Turn off Sell – On if short-selling confuses you. Trust the Stop Loss: Even if you think the price will rebound, the strategy will close at -0.5% to protect your capital. Where to Find Settings: Click the strategy name on the top-left of your chart → adjust sliders/toggles in the menu. Русская Версия Трендовая стратегия с открытым кодом Главное преимущество: Полная прозрачность логики и адаптация под ваши нужды. Особенности: Открытый исходный код: ✅ Видите всю «кухню» стратегии – как формируются сигналы, когда открываются сделки. ✅ Меняйте правила – корректируйте тейк-профит, стоп-лосс или добавляйте новые условия. ✅ Никаких секретов – вы контролируете каждое правило. Заточка под is_correction: Игнорирует ложные сигналы в коррекциях. Работает только в сильных трендах (is_correction = false). Гибкая настройка: Подстройте параметры под свой риск-менеджмент. Добавьте свои индикаторы или условия для входа. Для трейдеров и разработчиков: Используйте код как основу для своих стратегий. Тестируйте изменения на истории перед реальной торговлей. Простыми словами: Почему это удобно: Открытый код = полный контроль. Вы можете: Увидеть, как именно стратегия решает купить или продать. Изменить правила закрытия сделок (например, поставить TP=2% вместо 1.5%). Добавить новые условия (например, торговать только при высоком объёме). Примеры кастомизации: Новички: Меняйте только TP/SL в настройках (без кодинга). Продвинутые: Добавьте RSI-фильтр, чтобы избегать перекупленности. Разработчики: Встройте стратегию в свою торговую систему. Как начать: Скачайте код из TradingView. Изучите логику в разделе strategy.entry/exit. Меняйте параметры в блоке input.* (безопасно!). Тестируйте изменения и оптимизируйте под свои цели. Как работает стратегия: Главная задача: Автоматически покупает, когда цена начинает расти, и продаёт, когда падает. Но делает это «умно» — только когда рынок в основном тренде, а не во временном откате (коррекции). Что видно на графике: 📈 Стрелки вверх ▼ (под свечой) — сигнал на покупку. 📉 Стрелки вниз ▲ (над свечой) — сигнал на продажу. Серый фон — рынок в коррекции (не торгуем). Как это работает: Когда покупаем: Если цена закрылась выше предыдущей и индикатор is_correction показывает «основной тренд» (не коррекция). Пример: Была красная свеча → стала зелёная → появилась стрелка ▼ → покупаем. Когда продаём: Если цена закрылась ниже предыдущей и is_correction подтверждает тренд (опционально, можно отключить в настройках). Когда закрываем сделку: Автоматически при достижении: +0.5% прибыли (можно изменить в настройках). -0.5% убытка (можно изменить). Или если появился противоположный сигнал (например, после покупки пришла стрелка продажи). Настройки для чайников: «Sell – On» (включено по умолчанию): Если включено → стратегия будет продавать в шорт. Если выключено → только покупки и закрытие позиций. «Revers» (выключено по умолчанию): Если включить → стратегия будет работать наоборот (стрелки ▼ = продажа, ▲ = покупка). «%Profit» и «%Loss»: Меняйте эти цифры (от 0 до 30), чтобы увеличить/уменьшить прибыль и риски. Пример работы: Сигнал на покупку: Цена 3 дня растет → появляется зелёная стрелка ▼ → стратегия покупает. Стоп-лосс ставится на 0.5% ниже цены входа. Если цена продолжает расти → сделка закрывается при +0.5% прибыли. Коррекция: После роста цена падает на 1 день → фон становится серым → стратегия игнорирует это падение (не закрывает сделку). Стоп-лосс: Если цена упала на 0.5% от точки входа → сделка закрывается автоматически. Важные особенности: Фильтр коррекций (is_correction): Это «защита от шума» — стратегия не реагирует на мелкие откаты, работая только в сильных трендах. Гибкие настройки: Можно запретить шорты, перевернуть сигналы или изменить уровни прибыли/убытка за 2 клика. Прозрачность: Весь код открыт → вы можете увидеть, как формируется каждый сигнал (меню «Исходник» в TradingView). Советы для новичков: Начните с теста: Запустите стратегию на исторических данных (кнопка «Свеча» в окне TradingView). Посмотрите, как она работала в прошлом. Настройте под себя: Увеличьте %Profit до 2-3%, если торгуете валюты. Отключите «Sell – On», если не понимаете шорты. Доверяйте стоп-лоссу: Даже если кажется, что цена развернётся — стратегия закроет сделку при -0.5%, защитив ваш депозит. Где найти настройки: Кликните на название стратегии в верхнем левом углу графика → откроется меню с ползунками и переключателями. Важно: Стратегия предоставляет «рыбу» – чтобы она стала «уловистой», адаптируйте её под свой стиль торговли!
אסטרטגיית Pine Script®
מאת ‎JinFlark‎
Comprehensive Trading Toolkit [BigBeluga]Trading Toolkit is a comprehensive indicator inspired by the trading strategies of the renowned crypto influencer Michaël van de Poppe . This tool combines RSI divergences, correction zones, and advanced support/resistance levels to provide traders with a robust framework for analyzing market movements. 🔵 Key Features: RSI Divergences on Chart: Automatically identifies and plots RSI divergences (bullish and bearish) directly on the main price chart. Green lines indicate bullish divergences, suggesting potential upward reversals. Red lines indicate bearish divergences, signaling possible downward movements. Correction Boxes: Traders typically define a correction as a drop in value of 10% or more. This drop can happen over a few hours or a few days. Also, it can last for less than 24 hours or many months. This indicator visualizes corrections with blue shaded boxes, triggered by a percentage decline defined in the settings. The boxes highlight sharp price drops, helping traders identify significant market movements quickly. Advanced Support and Resistance Levels: Dynamically detects key support and resistance levels based on price pivots. When the price is above a level, it plots a green shaded area from the cross point, marking support. When the price drops below a level, it plots a red shaded area, highlighting resistance. Dashed lines indicate weaker levels, while solid lines represent stronger, more reliable levels. 🔵 Usage: Identify Divergences: Use plotted RSI divergences to detect potential market reversals and align them with price action. Analyze Correction Zones: Utilize correction boxes to evaluate significant price declines and find potential buying opportunities during these corrections. Leverage Support and Resistance Levels: Confirm breakouts, reversals, or consolidation zones with the color-coded areas. Enhance Risk Management: Combine divergences and correction zones to set informed stop-loss or take-profit levels. Trading Toolkit empowers traders with actionable insights into market trends, corrections, and support/resistance dynamics, making it an invaluable tool for crypto and forex markets.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
33
Comprehensive Correlation Meter with Multiple MarketsThe Comprehensive Correlation Meter is designed to provide traders and investors with insights into the relationships between multiple financial instruments. This script expands upon an existing idea on TradingView about correlation by introducing the ability to analyze the correlation between three markets, offering deeper insights into market relationships. It helps users understand how these markets move in relation to each other, aiding in risk management and portfolio diversification. Key Features: Multiple Market Analysis: This script allows you to analyze the correlation between your primary market and two other selected markets. Customizable Inputs: Users can select any symbols for the reference and third markets, and these selections must be confirmed before use. Correlation Coefficients: Calculates and plots the correlation coefficients for: Current Market vs. Reference Market Third Market vs. Reference Market Current Market vs. Third Market An average correlation of all three markets combined. Visual Aids: Plots reference lines at +1, 0, and -1 to indicate maximum positive correlation, no correlation, and maximum negative correlation. How It Works: Input Symbols: Select the symbols for the reference and third markets. The current market is based on the chart you are viewing. Data Collection: The script collects the closing prices of the selected markets and calculates the percentage changes. Correlation Calculation: Using the collected data, the script computes the covariance and standard deviations to determine the correlation coefficients. Visualization: The correlation coefficients and covariances are plotted for visual analysis. How to Use: Select Symbols: Use the input fields to specify the reference and third market symbols. Confirm your selections to proceed. Customize Display: Choose whether to display the covariance, reference market, current market, and third market. Select which correlation coefficients to display. Interpret Results: A correlation coefficient close to +1 indicates a strong positive correlation. A coefficient close to -1 indicates a strong negative correlation. A coefficient around 0 indicates little to no correlation. Use these insights to manage risk and diversify your portfolio effectively. Example Use Case: Suppose you are trading the S&P 500 and want to understand its correlation with the NASDAQ 100 and a particular stock, such as Apple. By setting the S&P 500 as the reference market, the NASDAQ 100 as the third market, and observing the current market (Apple), you can see how these instruments move in relation to each other. This can help you decide on hedging strategies or identify opportunities for diversification. However this is Not a Financial advise
אינדיקטור Pine Script®
מאת ‎padrerinat‎
Pullback WarningThe Pullback Warning indicator is a simple indicator that highlights the potential for a market pullback, by measuring distances between certain key moving averages. John Pocorobba recently shared in his general market updates, research showing that when the distance between the closing price and the 9 day exponential moving average is greater than the distance between the 9 day exponential moving average and the 20 day exponential moving average a pullback is likely. While this condition occurs frequently, I added sensitivity options to try and filter out the noise. The sensitivity is based on the closing price’s extension from the 50 day simple moving average. Depending on your level of sensitivity, only signals that occur when price is extended either 5, 6, or 7 percent away from the 50 sma will be plotted. Choose how to see the signal: Highlight Background Plot a symbol at desired location Note this signal works best on indexes, not individual securities.
אינדיקטור Pine Script®
מאת ‎Amphibiantrading‎
4
Correlation prix [SP500, TESLA, BTCBefore you see this post I want to thank all the TradingView team. Every day that passes I learn better and better to use Pine script and I owe this to all those who publish and to the philosophy of TradingView. Thanks from Amos This trading indicator compares the prices of the S&P 500 Index (SP500), Tesla (TSLA), and Bitcoin (BTC) to find correlations between them. To make the prices of SP500 and Tesla comparable to the price of Bitcoin, the indicator multiplies the closing price of Tesla by 114 and the closing price of the S&P 500 Index by 5.6. In this way we can superimpose the prices on the BTC chart and see what happens. Average BTC price/ tesla price = 114, so if we multiply the tesla price by 114 times we can superimpose it on the BTC price At average BTC/SPX price = 5.6, also in this case we multiply the price of SPX by 5.6 to overlay the graph and see any correlations. The indicator then calculates the average price between SP500 and Tesla, using the formula (SP500 + Tesla) / 2. This calculation creates a new line on the chart that represents the average price between these two assets. The BTC_SP_TE variable is then calculated as the average of the closing price of Bitcoin and the previously calculated average price of SP500 and Tesla, using the formula (Btc + SP_TE) / 2. This calculation creates another line on the chart that represents the average price between Bitcoin and the previously calculated average between SP500 and Tesla. The idea behind calculating these averages is to find correlations and patterns between the prices of these assets, which can help identify potential trading opportunities. By comparing the average prices of different assets, the trader can look for trends and patterns that might not be apparent when looking at each asset individually. The indicator plots these prices on a chart and fills the area between them with either green or fuchsia, depending on which one is higher. The strategy suggests buying Bitcoin when the average price of SP500 and Tesla is higher than the current price of Bitcoin, and selling when it is lower. To add visual cues to the trading strategy, the indicator uses the plotchar function to display a small triangle below the chart when it detects a potential buying opportunity. This is done with the following parameters: Value: BTC_SP_TE < Btc and Btc > Btc1 and Btc1 > Btc , which is a logical expression that checks whether the average price of SP500 and Tesla is less than the current price of Bitcoin (BTC_SP_TE < Btc), and whether the current price of Bitcoin is higher than the price 10 bars ago (Btc > Btc1 ) and higher than the price on the previous bar (Btc1 > Btc ). Text: "Moyen BTC_SP_Te", which is the text to display inside the marker. Symbol: "▲", which is the symbol to use for the marker. In this case, it is a small triangle pointing upwards. Location: location.belowbar, which specifies that the marker should be placed below the bar. I hope this is an example of how to create an indicator on TradingView, remember that correlations do not always last, it is possible that when you see the graph this correspondence no longer exists, do your studies and get inspired.
אינדיקטור Pine Script®
מאת ‎AmosTradingSystem‎
Market Crashes/Chart Timeframes HighlightThis extremely helpful indicator allows you to highlight 7 custom date-based timeframes on your charts. The default dates selected are what I consider to be the most significant 7 most recent market declines, including and since the 87 flash crash. Note: The default dates are approximate but good enough to highlight the key timeframes of these pullbacks/crashes/corrections. It's simple to use and does exactly what it should. I created this indicator to make it easier when looking at the overall story of a chart. I found it helpful to highlight these areas to see how a market or equity has responded during these significant market pullbacks. The highlight alone I’ve found helpful, and it becomes more powerful if you combine it with your own trusted trade system. Also, to get the most out of using the default dates it’s important to understand the narrative behind each pullback/crash. Here’s the list of what I consider significant pullbacks: Black Monday - Oct 87 1990s Recession - Jul 90 to Mar 91 Dot Com Bubble - 2000 to 2002 or so Real Estate 2008 Crisis - I choose 2007-2009 to cover full insider knowledge and aftermath 2016 - 2018 - This isn't seen as a pullback, but I have it as significant because in many markets and equities, this was an almost equal percentage pullback as 2008. See Notes below 2020 Crash - Covid-19 and related shenanigans pullback April 2021 to August 2022 - I believe we are in a current SHORT cycle so I've highlighted April 2021 as the start of what might be the start of a major decline testing Dot Com or lower levels. A few notes on the above. You'll find on most of the pullbacks listed above most equities and related markets behave similarly or have similar patterns. The 2016-18 pullback is the most difficult to track. For instance, GE in this timeframe had a -80% decline, whereas BA depending on how you want to measure it had a 50-110% gain.
אינדיקטור Pine Script®
מאת ‎RexDogActual‎
Eurobond CurveABOUT Dynamically plots 3 no. forward EUROBOND curves. When the curves converge (or worse crossover) there is higher risk of financial uncertainty and potential market correction. The Eurobond Curves work in a similar way to treasury "yield curve inversion"; except the EUROBOND curves can signal much earlier than Treasuries therefore providing a leading indicator. The indicator looks the the "near" (next year EUROBOND), "mid" (EUROBOND 2 years out) and "far" (EUROBOND 5 years out) to assess for crossovers. When the "near" and "mid" curves crossover the "far" curve, concerning economic conditions are developing and it may be a good idea to reduce risk exposure to markets. LIMITATIONS The EUROBOND curve crossover events are rare, and this indicator uses data back to 2005 (using approximately 25 TradingView security functions). Given there are relatively few crossover events, the reliability of this indicator should be considered low. Nonetheless, there is decent alignment with treasury yield curve inversions in the 20 year period assessed. Given treasury yield curve inversions have predicted every recession for the last 70 years, we still think the EUROBOND Curves are a useful datapoint to monitor into the future and provide confluence to other risk management strategies.
אינדיקטור Pine Script®
מאת ‎capriole_charles‎
Price Target Pullback Correction or BearPrice Target percent drop is an indicator that allows you to set default percentage down from the 52 week high. A pullback, correction, bear and a bear market is marked as a 5%, 10%, 20% or 40% drop from the 52 week highest price, so this will show the target price to buy at if these thresholds are hit. You can change the default values of 5%, 10%, 20% and 40% to any percentage and the price will reflect the change of the default value. Furthermore, the default to use 52 weeks can be changed to find the highest price from the last 26 weeks or 104 weeks.
אינדיקטור Pine Script®
מאת ‎Bill_1142‎
1
Swing ComparatorHere I bring you an array of methods to compare the swings and consistency between assets. This indicator is excellent for swing traders and scalpers looking to maximize their profits by examining which of two closely related pairs provides greater price fluctuation during given period. This indicator works against two assets, which are to be configured in settings. This indicator has 5 particular plots for you to examine, each which can be considered for you to contemplate which pair for you to next perform a trade on. First off, let's start with the blue. The blue is simply a pearson correlation coefficient, thankfully now included in tradingview. This provides a value of 1 as values show to be close correlation, 0 showing no correlation, and -1 showing negative correlation - meaning an increase in one pair correlates to a decrease in another pair. This will turn green when greater than 0.975, showing a very strong relationship between the two pairs, and red when below -0.975. This is the only plot to be interpreted on a scale from -1 to +1. Next, we have the purple and yellow background plots, followed by the white and green moving averages. Though similar, these are all slightly different. For each of these 4 plots, a value greater than 0 indicates greater price swings for your Symbol #1, while a value less than 0 indicates greater price swings for Symbol #2. These calculations are performed on a per bar basis, meaning you're likely going to be examining bars longer than what you'll normally be trading on. Use confluence, as well as your own judgement for this. For example, if symbol #1 provides a bar with an open value 1% greater or less than close, providing a 1% swing on a given bar, but symbol #2 provides 2%, the indicator will fall down toward the negative, as Symbol #2 had the greater swing. First, yellow focuses on only open/close bar values, and thus the body of the candlestick. Purple, on the other hand, focuses on the wicks of the candle - thus, the high/low values. I've opted to make these two different values as a wick focuses on the embodiment within the time period, and body focuses on the open/close instant. Next, the green is an extended EMA of the purple - High/Low ratio. This is important to examine trend overtime, and reduce unneeded noise. Lastly, the white is simply difference in the standard deviation of the particular bars, between the two symbols you have selected. The tends to usually tie up with the green pretty well. Considering this is going to by nature be very noisy datasets, I have included in settings the option to extend an EMA for everything. They have their default settings, but if you'd like to examine the trend without an EMA, feel free to set it to 1 to eliminate its effects. I have additionally added the ability to introduce clipping, as well as scale the correlation coefficient to remain visible when examining very short term time scales. In the future, I hope to properly normalize all plots to remain within a -1 to +1 basis. Please be patient as I have multiple projects ongoing. Suggestions and constructive criticism are very well encouraged. Anyone is welcome to utilize this in their code, as well, i just ask you provide credit. As you reduce to time frames less than a day, you will likely have to reduce the coefficient min/max closer to 0.025, or just hide it entirely. TODO: Make it look better. Sorry, folks. Introduce latency between pairs. Examine significance of a coefficient of determination Remove static weights and introduce z-score and linear normalization. Consider adding room for a 3rd pair. This could get ugly, however.
אינדיקטור Pine Script®
מאת ‎jarzido‎
Ehlers Error Correcting Exponential Moving Average [CC]The Error Correcting Exponential Moving Average was created by John Ehlers and Ric Way (Stocks & Commodities V. 28:11 (30-35)) and this is an excellent moving average that accurately identifies the trend and sticks with the price during trends or choppy periods pretty well. It looks back to find the best gain setting for each day that returns the smallest difference between the current price and the ema based on the gain setting and uses that day's info in it's total calculations and if there is a zero gain for the day then it is just a classic ema. I have included strong buy and sell signals in addition to normal ones so lighter colors are normal and darker colors are strong. Buy when the line turns green and sell when it turns red. Let me know if there are any other indicators you would like to see me publish!
אינדיקטור Pine Script®
מאת ‎cheatcountry‎
4
Relative StrengthPowerful tool to calculate and display the strength of a security compared to another security. Some Main purposes are: - finding new leadership in a market correction - comparing a market leader with a top competitor - tracking rotation in the market .. and so much more! This tool is highly configurable, you can especially change: - The reference symbol (SPY, QQQ, BTCUSD, ...) - The time span to indicate a new High or Low in a certain time-frame - Factorize your RS-Chart to make it fit to the original chart. (Moves the chart up or down) - Option to repaint your candles / bars when a new RS High occurs in the given timeframe. Enjoy and have a great day! Powerful_Trading
אינדיקטור Pine Script®
מאת ‎Powerful_Trading‎
2
Cyclic Smoothed RSI with Motive-Corrective Wave Indicator This indicator uses the cyclic smoothed Relative Strength Index (cRSI) instead of the traditional Relative Strength Index (RSI). See below for more info on the benefits to the cRSI. My key contributions 1) A Weighted Moving Average (WMA) to track the general trend of the cRSI signal. This is very helpful in determining when the equity switches from bullish to bearish, which can be used to determine buy/sell points. This is then is used to color the region between the upper and lower cRSI bands (green above, red below). 2) An attempt to detect the motive (impulse) and corrective and waves. Corrective waves are indicated A, B, C, D, E, F, G. F and G waves are not technically Elliot Waves, but the way I detect waves it is really hard to always get it right. Once and a while you could actually see G and F a second time. Motive waves are identified as s (strong) and w (weak). Strong waves have a peak above the cRSI upper band and weak waves have a peak below the upper band. 3) My own divergence indicator for bull, hidden bull, bear, and hidden bear. I was not able to replicate the TradingView style of drawing a line from peak to peak, but for this indicator I think in the end it makes the chart cleaner. There is a latency issue with an indicator that is based on moving averages. That means they tend to trigger right after key events. Perfect timing is not possible strictly with these indicators, but they do work very well "on average." However, my implementation has minimal latency as peaks (tops/bottoms) only require one bar to detect. As a bit of an Easter Egg, this code can be tweaked and run as a strategy to get buy/sell signals. I use this code for both my indicator and for trading strategy. Just copy and past it into a new strategy script and just change it from study to a strategy, something like this: strategy("cRSI + Waves Strategy with VWMA overlay", overlay=overlay) The buy/sell code is at the end and just needs to be uncommented. I make no promises or guarantees about how good it is as a strategy, but it gives you some code and ideas to work with. Tuning 1) Volume Weighted Moving Average (VWMA): This is a “hidden strategy” feature implemented that will display the high-low bands of the VWMA on the price chart if run the code using “overlay = true”. - If the equity does not have volume, then the VWMA will not show up. Uncheck this box and it will use the regular WMA (no volume). - defines how far back the WMA averages price. 2) cRSI (Black line in the indicator) - Increase to length that amount of time a band (upper/lower) stays high/low after a peak. Reduce the value to shorten the time. Just increment it up/down to see the effect. - defines how far back the SMA averages the cRSI. This affects the purple line in the indicator. - defines how many bars back the peak detector looks to determine if a peak has occurred. For example, a top is detected like this: current-bar down relative to the 1-bar-back, 1-bar-back up relative to 2-bars-back (look back = 1), c) 2-bars-back up relative to 3-bars-back (lookback = 2), and d) 3-bars-back up relative to 4-bars-back (lookback = 3). I hope that makes sense. There are only 2 options for this setting: 2 or 3 bars. 2 bars will be able to detect small peaks but create more “false” peaks that may not be meaningful. 3 bars will be more robust but can miss short duration peaks. 3) Waves - The check boxes are self explanatory for which labels they turn on and off on the plot. 4) Divergence Indicators - The check boxes are self explanatory for which labels they turn on and off on the plot. Hints - The most common parameter to change is the . Different stocks will have different levels of strength in their peaks. A setting of 2 may generate too many corrective waves. - Different times scales will give you different wave counts. This is to be expected. A counter impulse wave inside a corrective wave may actually go above the cRSI WMA on a smaller time frame. You may need to increase it one or two levels to see large waves. - Just because you see divergence (bear or hidden bear) does not mean a price is going to go down. Often price continues to rise through bears, so take note and that is normal. Bulls are usually pretty good indicators especially if you see them on C,E,G waves. ---------------------------------------------------------------------------------------------------------------------------- cyclic smoothed RSI (cRSI) indicator ---------------------------------------------------------------------------------------------------------------------------- The “core” code for the cyclic smoothed RSI (cRSI) indicator was written by Lars von Theinen and is subject to the terms of the Mozilla Public License 2.0 at mozilla.org Copyright (C) 2017 CC BY, whentotrade / Lars von Thienen. For more details on the cRSI Indicator: The cyclic smoothed RSI indicator is an enhancement of the classic RSI, adding 1) additional smoothing according to the market vibration, 2) adaptive upper and lower bands according to the cyclic memory and 3) using the current dominant cycle length as input for the indicator. It is much more responsive to market moves than the basic RSI. The indicator uses the dominant cycle as input to optimize signal, smoothing, and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Decoding The Hidden Market Rhythm - Part 1: Dynamic Cycles (2017), Chapter 4: "Fine-tuning technical indicators." You need to derive the dominant cycle as input parameter for the cycle length as described in chapter 4. Hope this helps and good luck.
אינדיקטור Pine Script®
מאת ‎Dr_Roboto‎
25
Correction Percent and Days SinceS Use this script to see the depths of corrections and also to see how long it has been since a correction. I published this script because the last time the SNP has gone this long without a 5% correction was 1996 excluding bear markets of course. NOTE: This script is a 2 in 1. In order to see correction depth only use the first 3 plot settings as visible. In order to see the days since a correction use the last two plot settings.
אינדיקטור Pine Script®
מאת ‎hlavaty4‎
1