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Stan Weinstein Trend IndicatorThis indicator is a trend indicator for trading charts based on the method of Stan Weinstein. It uses various technical methods to identify four trend phases on an asset: consolidation, advancement, plateauing, and decline. Users can customize the indicator by modifying parameters such as the periods for various calculations, such as the exponential moving average (EMA), the relative strength index (RSI), and support and resistance levels. The results of these calculations are then used to determine if an asset is in a phase of consolidation, advancement, plateauing, or decline. The results are displayed as markers on the chart, with the following colors: White: Consolidation Green: Advancement Blue: Plateauing Red: Decline According to the method of Stan Weinstein, it is recommended to buy an asset during an advancement phase and sell it during a plateauing phase. Similarly, it is recommended to sell an asset during a decline phase and cut this sale when the consolidation phase starts. It is important to note that this indicator is for informational purposes only and should not be used as investment advice. It is important to conduct fundamental and technical analysis before making an investment decision. It is also recommended to combine this analysis with other methods for optimal results and to consider the risks associated with any investment. All default parameters of this indicator have been carefully chosen to provide the best possible results, however, it is possible to modify them according to personal preferences. It is important to note that modifying certain parameters may make the indicator less relevant and it is therefore recommended not to deviate too much from default values, unless you have a good understanding of the Stan Weinstein method and the technical indicators used. It is important to note that this indicator is optimized for 1-week charts. It can be used to look at charts at other timeframes but calculations will always be based on weekly data. Also, it is noteworthy that this indicator is optimized for cryptocurrencies, except Bitcoin, as it is used to calculate the relative strength of a token. However, you can choose the asset or index you want in the menu to calculate the relative strength. Furthermore, all the default settings are carefully chosen, but users are free to modify them, but doing so may result in less relevant results.
Pine Script®指標
由Ecipi提供
10
BACAP PRICE STRUCTURE 21 EMA TREND21dma-STRUCTURE Overview The 21dma-STRUCTURE indicator is a sophisticated overlay indicator that visualizes price action relative to a triple 21-period exponential moving average structure. Originally developed by BalarezoCapital and enhanced by PrimeTrading, this indicator provides clear visual cues for trend direction and momentum through dynamic bar coloring and EMA structure analysis. Key Features Triple EMA Structure - 21 EMA High: Tracks the exponential moving average of high prices - 21 EMA Close: Tracks the exponential moving average of closing prices - 21 EMA Low: Tracks the exponential moving average of low prices - Dynamic Cloud: Gray fill between high and low EMAs for visual structure reference Smart Bar Coloring System - Blue Bars: Price closes above all three EMAs (strong bullish momentum) - Pink Bars: Daily high falls below the lowest EMA (strong bearish signal) - Gray Bars: Neutral conditions or transitional phases - Color Memory: Maintains previous color until new condition is met Dynamic Center Line - Trend-Following Color: Green when all EMAs are rising, red when all are falling - Color Persistence: Maintains trend color during sideways movement - Visual Clarity: Thicker center line for easy trend identification Customizable Visual Elements - Adjustable line thickness for all EMA plots - Customizable colors for bullish and bearish conditions - Configurable trend colors for uptrend and downtrend phases - Optional bar color changes with toggle control How to Use Trend Identification - Rising Green Center Line: All EMAs trending upward (bullish structure) - Falling Red Center Line: All EMAs trending downward (bearish structure) - Flat Center Line: Maintains last trend color during consolidation Momentum Analysis - Blue Bars: Strong bullish momentum with price above entire EMA structure - Pink Bars: Strong bearish momentum with high below lowest EMA - Gray Bars: Neutral or transitional momentum phases Entry and Exit Signals - Bullish Setup: Look for blue bars during green center line periods - Bearish Setup: Look for pink bars during red center line periods - Exit Consideration: Watch for color changes as potential momentum shifts Structure Trading - Support/Resistance: Use EMA cloud as dynamic support and resistance zones - Breakout Confirmation: Bar color changes can confirm structure breakouts - Trend Continuation: Color persistence suggests ongoing momentum Settings Visual Customization - Change Bar Color: Toggle to enable/disable bar coloring - Line Size: Adjust thickness of EMA lines (default: 3) - Bullish Candle Color: Customize blue bar color - Bearish Candle Color: Customize pink bar color Trend Colors - Uptrend Color: Color for rising EMA center line (default: green) - Downtrend Color: Color for falling EMA center line (default: red) - Cloud Color: Fill color between high and low EMAs (default: gray) Advanced Features Modified Bar Logic Unlike traditional EMA systems, this indicator uses refined conditions: - Bullish signals require close above ALL three EMAs - Bearish signals require high below the LOWEST EMA - Enhanced precision reduces false signals compared to single EMA systems Trend Memory System - Intelligent color persistence during sideways movement - Reduces noise from minor EMA fluctuations - Maintains trend context during consolidation periods Performance Optimization - Efficient calculation methods for real-time performance - Clean visual design that doesn't clutter charts - Compatible with all timeframes and instruments Best Practices Multi-Timeframe Analysis - Use higher timeframes to identify overall trend direction - Apply on multiple timeframes for confluence - Combine with weekly/monthly charts for position trading Risk Management - Use bar color changes as early warning signals - Consider position sizing based on EMA structure strength - Set stops relative to EMA support/resistance levels Combination Strategies - Pair with volume indicators for confirmation - Use alongside RSI or MACD for momentum confirmation - Combine with key support/resistance levels Market Context - More effective in trending markets than choppy conditions - Consider overall market environment and sector strength - Adjust expectations during high volatility periods Technical Specifications - Based on 21-period exponential moving averages - Uses Pine Script v6 for optimal performance - Overlay indicator that works with any chart type - Maximum 500 lines for clean performance Ideal Applications - Swing trading on daily charts - Position trading on weekly charts - Intraday momentum trading (adjust timeframe accordingly) - Trend following strategies - Structure-based trading approaches Disclaimer This indicator is for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always combine with other forms of analysis, proper risk management, and consider your individual trading plan and risk tolerance. Compatible with Pine Script v6 | Works on all timeframes | Optimized for trending markets
Pine Script®指標
由Alex_PrimeTrading提供
Andean Pulse Oscillator [APO] Andean Pulse Oscillator (APO) The Andean Pulse Oscillator (APO) is a momentum-based technical indicator designed to detect early shifts in bullish and bearish pressure using adaptive exponential envelopes. Inspired by the original Andean Oscillator concept, this upgraded version maintains the spirit of the tool while improving clarity, responsiveness, and usability. 🧠 Key Features: Two core components: 🔹 Bullish Component (green) – Measures strength of downward volatility (bullish momentum). 🔻 Bearish Component (red) – Measures strength of upward volatility (bearish momentum). A Signal Line (orange) smooths the dominant component to help filter out noise. Background shading provides at-a-glance trend bias: green for bullish dominance, red for bearish. Optional Buy/Sell Signal Arrows when bullish and bearish lines cross. ⚙️ Inputs: Length – Controls smoothing sensitivity of the envelope-based momentum calculation. Signal Length – Controls smoothing of the dominant component (signal line). Show Buy/Sell Signals – Toggle crossover arrows on or off. 🔍 Usage Tips: Look for bullish crossovers (green crosses above red) below the zero-line during corrections for potential long setups. Look for bearish crossunders (red crosses above green) near tops for potential short setups. Can be combined with price structure, trend filters, or divergence analysis for added confirmation. 👨‍🎨 Credit: Originally conceptualized by @Andean, the APO version enhances it with modern visuals, cleaner signals, and modular structure — a tribute to a powerful and underutilized oscillator.
Pine Script®指標
由olast1211提供
NIFTY Intraday Strategy - 50 Points📊 NIFTY Intraday Strategy – Description This Pine Script defines an intraday trading strategy targeting +50 points per trade on NIFTY, using a blend of trend-following and momentum indicators. Here's a breakdown: 🔍 Core Components 1. Indicators Used VWAP: Volume-Weighted Average Price – institutional anchor for fair value. Supertrend: Trend direction indicator (parameters: 10, 3.0). RSI (14): Measures strength/momentum. ATR (14): Determines volatility for stop-loss calculation. 📈 Entry Conditions ✅ Buy Entry Price is above VWAP Supertrend direction is bullish RSI is above 50 Time is between 9:15 AM and 3:15 PM (India time) ❌ Sell Entry Price is below VWAP Supertrend direction is bearish RSI is below 50 Time is within same market hours 🎯 Exit Logic Target: 50 points from entry Stop Loss: 1 × ATR from entry If neither is hit by 3:15 PM, the position is held (though you may add exit logic at that time). 📌 Visualization VWAP: orange line Supertrend: green (uptrend), red (downtrend) Buy Signal: green triangle below bar Sell Signal: red triangle above bar This strategy is ideal for intraday scalping or directional momentum trading in NIFTY Futures or Options. a. Add end-of-day exit at 3:15 PM to fully close all trades b. Add a risk-reward ratio input to dynamically adjust target vs stop-loss
Pine Script®策略
由dhramendersingh01提供
JonnyBtc Daily Pullback Strategy (Volume + ADX)📈 JonnyBtc Daily Optimized Pullback Strategy (With Volume + ADX) This strategy is designed for Bitcoin swing trading on the daily timeframe and uses a combination of price action, moving averages, volume, RSI, and ADX strength filtering to time high-probability entries during strong trending conditions. 🔍 Strategy Logic: Trend Filter: Requires price to be aligned with both 50 EMA and 200 EMA. Pullback Entry: Looks for a pullback to a fast EMA (default 21) and a crossover signal back above it. RSI Confirmation: RSI must be above a minimum threshold for long entries (default 55), or below for short entries. Volume Filter: Entry is confirmed only when volume is above a 20-day average. ADX Filter: Only enters trades when ADX is above a strength threshold (default 20), filtering out sideways markets. Trailing Stop (optional): Uses ATR-based trailing stop-loss and take-profit system, fully configurable. ⚙️ Default Settings: Timeframe: Daily Trade Direction: Long-only by default (can be toggled) Trailing Stop: Enabled (can disable) Session Filter: Off by default for daily timeframe 📊 Best Use: Optimized for Bitcoin (BTCUSD) on the 1D chart Can be adapted to other trending assets with proper tuning Works best in strong trending markets — not ideal for choppy/ranging conditions 🛠️ Customizable Parameters: EMA lengths (Fast, Mid, Long) RSI and ADX thresholds ATR-based TP/SL multipliers Trailing stop toggle Volume confirmation toggle Time/session filter ⚠️ Disclaimer: This script is for educational and research purposes only. Past performance does not guarantee future results. Always backtest and verify before trading with real funds.
Pine Script®策略
由mulysport35提供
AD Pro//@version=5 indicator("AD Pro", overlay=true) // === Inputs atrLen = input.int(14, "ATR Length") factor = input.float(0.7, "Factor") slMultiplier = input.float(2.0, "SL Multiplier") // Volatility Filter Input atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1) // Min % Price Change Filter enableMinMove = input.bool(true, "Enable Min % Price Change Filter") lookbackBars = input.int(20, "Lookback Bars") minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0) // TP Buy colors tp1BuyColor = input.color(color.lime, "TP1 Buy Color") tp2BuyColor = input.color(color.green, "TP2 Buy Color") tp3BuyColor = input.color(color.teal, "TP3 Buy Color") // TP Sell colors tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color") tp2SellColor = input.color(color.red, "TP2 Sell Color") tp3SellColor = input.color(color.maroon, "TP3 Sell Color") // SL colors slBuyColor = input.color(color.blue, "SL Buy Color") slSellColor = input.color(color.blue, "SL Sell Color") // === Indicator Calculations atr = ta.atr(atrLen) avgATR = ta.sma(atr, 50) atrCondition = atr > avgATR * atrFilterStrength priceChange = math.abs(close - close ) / close priceMoveOK = priceChange > minMovePct priceChangeCondition = not enableMinMove or priceMoveOK volatilityOK = atrCondition and priceChangeCondition // === UT Bot Logic src = close var float trailPrice = na var bool dirLong = true longStop = src - factor * atr shortStop = src + factor * atr if na(trailPrice) trailPrice := longStop dirLong := true else if dirLong trailPrice := math.max(trailPrice, longStop) dirLong := src > trailPrice else trailPrice := math.min(trailPrice, shortStop) dirLong := src > trailPrice rawBuy = dirLong and not dirLong rawSell = not dirLong and dirLong // Apply Volatility Filter buySignal = rawBuy and volatilityOK sellSignal = rawSell and volatilityOK // === Entry & Label Storage var float entryPrice = na var bool lastSignalIsBuy = na var label tp1Lbl = na var label tp2Lbl = na var label tp3Lbl = na var label slLbl = na var line tp1Line = na var line tp2Line = na var line tp3Line = na var line slLine = na if buySignal or sellSignal if not na(tp1Lbl) label.delete(tp1Lbl) if not na(tp2Lbl) label.delete(tp2Lbl) if not na(tp3Lbl) label.delete(tp3Lbl) if not na(slLbl) label.delete(slLbl) if not na(tp1Line) line.delete(tp1Line) if not na(tp2Line) line.delete(tp2Line) if not na(tp3Line) line.delete(tp3Line) if not na(slLine) line.delete(slLine) entryPrice := close lastSignalIsBuy := buySignal tp1 = entryPrice + (buySignal ? 1 : -1) * atr tp2 = entryPrice + (buySignal ? 2 : -2) * atr tp3 = entryPrice + (buySignal ? 3 : -3) * atr sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier tp1Lbl := label.new(bar_index, tp1, "TP1\n" + str.tostring(tp1, format.mintick), style=label.style_label_right, color=buySignal ? tp1BuyColor : tp1SellColor, textcolor=color.black) tp2Lbl := label.new(bar_index, tp2, "TP2\n" + str.tostring(tp2, format.mintick), style=label.style_label_right, color=buySignal ? tp2BuyColor : tp2SellColor, textcolor=color.white) tp3Lbl := label.new(bar_index, tp3, "TP3\n" + str.tostring(tp3, format.mintick), style=label.style_label_right, color=buySignal ? tp3BuyColor : tp3SellColor, textcolor=color.white) slLbl := label.new(bar_index, sl, "SL\n" + str.tostring(sl, format.mintick), style=label.style_label_right, color=buySignal ? slBuyColor : slSellColor, textcolor=color.white) tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed) tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed) tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3, color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed) slLine := line.new(bar_index, sl, bar_index + 1, sl, color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed) // === Plot Signals plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Alerts alertcondition(buySignal, title="Buy Alert", message="Buy Signal!") alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
Pine Script®指標
由ysramylady提供
1
(Mustang Algo) Stochastic RSI + Triple EMAStochastic RSI + Triple EMA (StochTEMA) Overview The Stochastic RSI + Triple EMA indicator combines the Stochastic RSI oscillator with a Triple Exponential Moving Average (TEMA) overlay to generate clear buy and sell signals on the price chart. By measuring RSI overbought/oversold conditions and confirming trend direction with TEMA, this tool helps traders identify high-probability entries and exits while filtering out noise in choppy markets. Key Features Stochastic RSI Calculation Computes a standard RSI over a user-defined period (default 50). Applies a Stochastic oscillator to the RSI values over a second user-defined period (default 50). Smooths the %K line by taking an SMA over a third input (default 3), and %D is an SMA of %K over another input (default 3). Defines oversold when both %K and %D are below 20, and overbought when both are above 80. Triple EMA (TEMA) Calculates three successive EMAs on the closing price with the same length (default 9). Combines them using TEMA = 3×(EMA1 – EMA2) + EMA3, producing a fast-reacting trend line. Bullish trend is identified when price > TEMA and TEMA is rising; bearish trend when price < TEMA and TEMA is falling; neutral/flat when TEMA change is minimal. Signal Logic Strong Buy: Previous bar’s Stoch RSI was oversold (both %K and %D < 20), %K crosses above %D, and TEMA is in a bullish trend. Medium Buy: %K crosses above %D (without requiring oversold), TEMA is bullish, and previous %K < 50. Weak Buy: Previous bar’s %K and %D were oversold, %K crosses above %D, TEMA is flat or bullish (not bearish). Strong Sell: Previous bar’s Stoch RSI was overbought (both %K and %D > 80), %K crosses below %D, and TEMA is bearish. Medium Sell: %K crosses below %D (without requiring overbought), TEMA is bearish, and previous %K > 50. Weak Sell: Previous bar’s %K and %D were overbought, %K crosses below %D, TEMA is flat or bearish (not bullish). Visual Elements on Chart TEMA Line: Plotted in cyan (#00BCD4) with a medium-thick line for clear trend visualization. Buy/Sell Markers: BUY STRONG: Lime label below the candle BUY MEDIUM: Green triangle below the candle BUY WEAK: Semi-transparent green circle below the candle SELL STRONG: Red label above the candle SELL MEDIUM: Orange triangle above the candle SELL WEAK: Semi-transparent orange circle above the candle Candle & Background Coloring: When a strong buy or sell signal occurs, the candle body is tinted (semi-transparent lime/red) and the chart background briefly flashes light green (buy) or light red (sell). Dynamic Support/Resistance: On a strong buy signal, a green dot is plotted under that bar’s low as a temporary support marker. On a strong sell signal, a red dot is plotted above that bar’s high as a temporary resistance marker. Alerts Strong Buy Alert: Triggered when Stoch RSI is oversold, %K crosses above %D, and TEMA is bullish. Strong Sell Alert: Triggered when Stoch RSI is overbought, %K crosses below %D, and TEMA is bearish. General Buy Alert: Triggered on any bullish crossover (%K > %D) when TEMA is not bearish. General Sell Alert: Triggered on any bearish crossover (%K < %D) when TEMA is not bullish. Inputs Stochastic RSI Settings (group “Stochastic RSI”): K (smoothK): Period length for smoothing the %K line (default 3, minimum 1) D (smoothD): Period length for smoothing the %D line (default 3, minimum 1) RSI Length (lengthRSI): Number of bars used for the RSI calculation (default 50, minimum 1) Stochastic Length (lengthStoch): Number of bars for the Stochastic oscillator applied to RSI (default 50, minimum 1) RSI Source (src): Price source for the RSI (default = close) TEMA Settings (group “Triple EMA”): TEMA Length (lengthTEMA): Number of bars used for each of the three EMAs (default 9, minimum 1) How to Use Add the Script Copy and paste the indicator code into TradingView’s Pine Editor (version 6). Save the script and add it to your chart as “Stochastic RSI + Triple EMA (StochTEMA).” Adjust Inputs Choose shorter lengths for lower timeframes (e.g., intraday scalping) and longer lengths for higher timeframes (e.g., swing trading). Fine-tune the Stochastic RSI parameters (K, D, RSI Length, Stochastic Length) to suit the volatility of the instrument. Modify TEMA Length if you prefer a faster or slower moving average response. Interpret Signals Primary Entries/Exits: Focus on “BUY STRONG” and “SELL STRONG” signals, as they require both oversold/overbought conditions and a confirming TEMA trend. Confirmation Signals: Use “BUY MEDIUM”/“BUY WEAK” to confirm or add to an existing position when the market is trending. Similarly, “SELL MEDIUM”/“SELL WEAK” can be used to scale out or confirm bearish momentum. Support/Resistance Dots: These help identify recent swing lows (green dots) and swing highs (red dots) that were tagged by strong signals—useful to place stop-loss or profit-target orders. Set Alerts Open the Alerts menu (bell icon) in TradingView, choose this script, and select the desired alert condition (e.g., “BUY Signal Strong”). Configure notifications (popup, email, webhook) according to your trading workflow. Notes & Best Practices Filtering False Signals: By combining Stoch RSI crossovers with TEMA trend confirmation, most false breakouts during choppy price action are filtered out. Timeframe Selection: This indicator works on all timeframes, but shorter timeframes may generate frequent signals—consider higher-timeframe confirmation when trading lower timeframes. Risk Management: Always use proper position sizing and stop-loss placement. An “oversold” or “overbought” reading can remain extended for some time in strong trends. Backtesting/Optimization: Before live trading, backtest different parameter combinations on historical data to find the optimal balance between sensitivity and reliability for your chosen instrument. No Guarantee of Profits: As with any technical indicator, past performance does not guarantee future results. Use in conjunction with other forms of analysis (volume, price patterns, fundamentals). Author: Your Name or Username Version: 1.0 (Pine Script v6) Published: June 2025 Feel free to customize input values and visual preferences. If you find bugs or have suggestions for improvements, open an issue or leave a comment below. Trade responsibly!
Pine Script®指標
由MustangAlgo提供
Bayram Günleri 2020-2025// This script highlights the days of Ramadan Eid and Eid al-Adha (including the day before) on the chart. // This indicator is designed to visually mark Ramadan Eid, Eid al-Adha, and their preceding days (Arefe) between 2020 and 2025. // It colors the background in orange on those specific dates, making it easy to identify and analyze holiday periods. // Works across all timeframes (1m, 1h, 1d, etc.). // Dates are checked using year, month, and dayofmonth values manually. // All times are based on Turkish local time (UTC+3). // Ramazan Bayramı ve Kurban Bayramı günlerini gösterir
Pine Script®指標
由turgut1844提供
3x MTF EMA + VWAP + Daily CPR3x MTF EMA + VWAP + Daily CPR A Complete Trend & Structure Toolkit for Informed Decisions This all-in-one indicator blends the power of multi-timeframe analysis, volume-weighted price action, and daily structure zones to give you high-confidence entries and real-time market context. 📌 Key Features: ✅ 3x Multi-Timeframe EMAs Plot up to three EMAs from any timeframe (e.g., 15m, 1H, Daily) on your current chart. Each EMA comes with: Custom length Custom source (close, hl2, etc.) Independent timeframe Color and visibility toggles Use them for dynamic support/resistance, trend direction, and confluence zones. ✅ VWAP (Volume-Weighted Average Price) Industry-standard intraday VWAP to track the true average traded price. Essential for: Volume-weighted mean reversion Institutional support/resistance Intraday directional bias Auto-hides on higher timeframes for precision. ✅ Daily CPR (Central Pivot Range) Maps out key market structure levels for the day: Central Pivot (P) Top Central (TC) Bottom Central (BC) Widely used by pros for reversal zones, trend continuation, and opening range setups. 🎯 Why Use This Script? Whether you're scalping intraday or swinging higher timeframes, this indicator gives you: Instant clarity on market structure High-probability trend confluence Reliable institutional price zones Perfect for SMC, ICT, VWAP traders, or anyone seeking an edge with precision levels. ⚙️ Fully Customizable Toggle visibility for each layer (EMA, VWAP, CPR) Adjust EMA sources, lengths, timeframes Lightweight & optimized for performance [/
Pine Script®指標
由olast1211提供
Parabolic Run Detector (With Weighted Caution)This indicator, Parabolic Run Detector (With Weighted Caution), is designed to help traders identify moments of strong directional movement (I call it a run) in asset prices, especially those that exhibit a parabolic character. It uses a combination of log-scale price slopes, RSI momentum, and Ichimoku cloud structure (via the very useful Tenkan-Kijun "clamp") to evaluate whether a price move has both strength and sustainability. When certain thresholds are met, it marks the beginning of a potential run with a green circle below the price chart, helping traders spot entries early in high-momentum conditions. In addition to identifying the start of a run, the indicator also looks for end-of-run caution signals. These are marked with orange circles, indicating potential exhaustion or overextension. The caution logic doesn’t require all conditions to trigger at once — instead, it uses a weighted scoring system based on RSI extension, slowing price momentum (second derivative), and the widening of the Ichimoku clamp. If these conditions cross a confidence threshold within a set number of bars after a run begins, the caution signal fires. This allows traders to stay alert to reversal or consolidation risks without being prematurely spooked by noise. So, choose to ignore them, but they are there for you to assess. You can fine-tune sensitivity with a set of adjustable parameters, including minimum slope values, RSI reversion awareness (bias weight), clamp thresholds, and spacing between signals. So play around to see what works best for you! For advanced users, the option to toggle between static or dynamically calculated RSI baselines and adapt Ichimoku settings for crypto vs. legacy markets adds another layer of contextual accuracy. Whether you're trading Bitcoin on a 4-hour chart or scanning equities on a daily timeframe, this tool helps bring clarity to trend acceleration and potential fatigue, all while minimizing visual clutter and giving you intuitive visual cues. Let me know what you think.
Pine Script®指標
由Powerslider提供
New York Midnight Day SeparatorThis Pine Script indicator draws vertical separator lines on the chart at midnight in the New York timezone (Eastern Time). The lines mark the start of each new trading day from Monday to Friday, helping traders visually distinguish daily sessions based on New York market time. The separator lines are rendered as slightly transparent gray lines spanning the full price range of each midnight candle, providing a clean and unobtrusive visual aid for session tracking.
Pine Script®指標
由sirin343435提供
AWR R & LR Oscillator with plots & tableHello trading viewers ! I'm glad to share with you one of my favorite indicator. It's the aggregate of many things. It is partly based on an indicator designed by gentleman goat. Many thanks to him. 1. Oscillator and Correlation Calculations Overview and Functionality: This part of the indicator computes up to 10 Pearson correlation coefficients between a chosen source (typically the close price, though this is user-configurable) and the bar index over various periods. Starting with an initial period defined by the startPeriod parameter and increasing by a set increment (periodIncrement), each correlation coefficient is calculated using the built-in ta.correlation function over successive ranges. These coefficients are stored in an array, and the indicator calculates their average (avgPR) to provide a complete view of the market trend strength. Display Features: Each individual coefficient, as well as the overall average, is plotted on the chart using a specific color. Horizontal lines (both dashed and solid) are drawn at levels 0, ±0.8, and ±1, serving as visual thresholds. Additionally, conditional fills in red or blue highlight when values exceed these thresholds, helping the user quickly identify potential extreme conditions (such as overbought or oversold situations). 2. Visual Signals and Automated Alerts Graphical Signal Enhancements: To reinforce the analysis, the indicator uses graphical elements like emojis and shape markers. For example: If all 10 curves drop below -0.79, a 🌋 emoji appears at the bottom of the chart; When curves 2 through 10 are below -0.79, a ⛰️ emoji is displayed below the bar, potentially serving as a buy signal accompanied by an alert condition; Likewise, symmetrical conditions for correlations exceeding 0.79 produce corresponding emojis (🤿 and 🏖️) at the top or bottom of the chart. Alerts and Notifications: Using these visual triggers, several alertcondition statements are defined within the script. This allows users to set up TradingView alerts and receive real-time notifications whenever the market reaches these predefined critical zones identified by the multi-period analysis. 3. Regression Channel Analysis Principles and Calculations: In addition to the oscillator, the indicator implements an analysis of regression channels. For each of the 8 configurable channels, the user can set a range of periods (for example, min1 to max1, etc.). The function calc_regression_channel iterates through the defined period range to find the optimal period that maximizes a statistical measure derived from a regression parameter calculated by the function r(p). Once this optimal period is identified, the indicator computes two key points (A and B) which define the main regression line, and then creates a channel based on the calculated deviation (an RMSE multiplied by a user-defined factor). The regression channels are not displayed on the chart but are used to plot shapes & fullfilled a table. Blue shapes are plotted when 6th channel or 7th channel are lower than 3 deviations Yellow shapes are plotted when 6th channel or 7th channel are higher than 3 deviations 4. Scores, Conditions, and the Summary Table Scoring System: The indicator goes further by assigning scores across multiple analytical categories, such as: 1. BigPear Score What It Represents: This score is based on a longer-term moving average of the Pearson correlation values (SMA 100 of the average of the 10 curves of correlation of Pearson). The BigPear category is designed to capture where this longer-term average falls within specific ranges. Conditions: The script defines nine boolean conditions (labeled BigPear1up through BigPear9up for the “up” direction). Here's the rules : BigPear1up = (bigsma_avgPR <= 0.5 and bigsma_avgPR > 0.25) BigPear2up = (bigsma_avgPR <= 0.25 and bigsma_avgPR > 0) BigPear3up = (bigsma_avgPR <= 0 and bigsma_avgPR > -0.25) BigPear4up = (bigsma_avgPR <= -0.25 and bigsma_avgPR > -0.5) BigPear5up = (bigsma_avgPR <= -0.5 and bigsma_avgPR > -0.65) BigPear6up = (bigsma_avgPR <= -0.65 and bigsma_avgPR > -0.7) BigPear7up = (bigsma_avgPR <= -0.7 and bigsma_avgPR > -0.75) BigPear8up = (bigsma_avgPR <= -0.75 and bigsma_avgPR > -0.8) BigPear9up = (bigsma_avgPR <= -0.8) Conditions: The script defines nine boolean conditions (labeled BigPear1down through BigPear9down for the “down” direction). BigPear1down = (bigsma_avgPR >= -0.5 and bigsma_avgPR < -0.25) BigPear2down = (bigsma_avgPR >= -0.25 and bigsma_avgPR < 0) BigPear3down = (bigsma_avgPR >= 0 and bigsma_avgPR < 0.25) BigPear4down = (bigsma_avgPR >= 0.25 and bigsma_avgPR < 0.5) BigPear5down = (bigsma_avgPR >= 0.5 and bigsma_avgPR < 0.65) BigPear6down = (bigsma_avgPR >= 0.65 and bigsma_avgPR < 0.7) BigPear7down = (bigsma_avgPR >= 0.7 and bigsma_avgPR < 0.75) BigPear8down = (bigsma_avgPR >= 0.75 and bigsma_avgPR < 0.8) BigPear9down = (bigsma_avgPR >= 0.8) Weighting: If BigPear1up is true, 1 point is added; if BigPear2up is true, 2 points are added; and so on up to 9 points from BigPear9up. Total Score: The positive score (posScoreBigPear) is the sum of these weighted conditions. Similarly, there is a negative score (negScoreBigPear) that is calculated using a mirrored set of conditions (named BigPear1down to BigPear9down), each contributing a negative weight (from -1 to -9). In essence, the BigPear score tells you—in a weighted cumulative way—where the longer-term correlation average falls relative to predefined thresholds. 2. Pear Score What It Represents: This category uses the immediate average of the Pearson correlations (avgPR) rather than a longer-term smoothed version. It reflects a more current picture of the market’s correlation behavior. How It’s Calculated: Conditions: There are nine conditions defined for the “up” scenario (named Pear1up through Pear9up), which partition the range of avgPR into intervals. For instance: Pear1up = (avgPR > -0.2 and avgPR <= 0) Pear2up = (avgPR > -0.4 and avgPR <= -0.2) Pear3up = (avgPR > -0.5 and avgPR <= -0.4) Pear4up = (avgPR > -0.6 and avgPR <= -0.5) Pear5up = (avgPR > -0.65 and avgPR <= -0.6) Pear6up = (avgPR > -0.7 and avgPR <= -0.65) Pear7up = (avgPR > -0.75 and avgPR <= -0.7) Pear8up = (avgPR > -0.8 and avgPR <= -0.75) Pear9up = (avgPR > -1 and avgPR <= -0.8) There are nine conditions defined for the “down” scenario (named Pear1down through Pear9down), which partition the range of avgPR into intervals. For instance: Pear1down = (avgPR >= 0 and avgPR < 0.2) Pear2down = (avgPR >= 0.2 and avgPR < 0.4) Pear3down = (avgPR >= 0.4 and avgPR < 0.5) Pear4down = (avgPR >= 0.5 and avgPR < 0.6) Pear5down = (avgPR >= 0.6 and avgPR < 0.65) Pear6down = (avgPR >= 0.65 and avgPR < 0.7) Pear7down = (avgPR >= 0.7 and avgPR < 0.75) Pear8down = (avgPR >= 0.75 and avgPR < 0.8) Pear9down = (avgPR >= 0.8 and avgPR <= 1) Weighting: Each condition has an associated weight, such as 0.9 for Pear1up, 1.9 for Pear2up, and so on, up to 9 for Pear9up. Sum up : Pear1up = 0.9 Pear2up = 1.9 Pear3up = 2.9 Pear4up = 3.9 Pear5up = 4.99 Pear6up = 6 Pear7up = 7 Pear8up = 8 Pear9up = 9 Total Score: The positive score (posScorePear) is the sum of these values for each condition that returns true. A corresponding negative score (negScorePear) is calculated using conditions for when avgPR falls on the positive side, with similar weights in the negative direction. This score quantifies the current correlation reading by translating its relative level into a numeric score through a weighted sum. 3. Trendpear Score What It Represents: The Trendpear score is more dynamic as it compares the current avgPR with its short-term moving average (sma_avgPR / 14 periods ) and also considers its relationship with an even longer moving average (bigsma_avgPR / 100 periods). It is meant to capture the trend or momentum in the correlation behavior. How It’s Calculated: Conditions: Nine conditions (from Trendpear1up to Trendpear9up) are defined to check: Whether avgPR is below, equal to, or above sma_avgPR by different margins; Whether it is trending upward (i.e., it is higher than its previous value). Here are the rules Trendpear1up = (avgPR <= sma_avgPR -0.2) and (avgPR >= avgPR ) Trendpear2up = (avgPR > sma_avgPR -0.2) and (avgPR <= sma_avgPR -0.07) and (avgPR >= avgPR ) Trendpear3up = (avgPR > sma_avgPR -0.07) and (avgPR <= sma_avgPR -0.03) and (avgPR >= avgPR ) Trendpear4up = (avgPR > sma_avgPR -0.03) and (avgPR <= sma_avgPR -0.02) and (avgPR >= avgPR ) Trendpear5up = (avgPR > sma_avgPR -0.02) and (avgPR <= sma_avgPR -0.01) and (avgPR >= avgPR ) Trendpear6up = (avgPR > sma_avgPR -0.01) and (avgPR <= sma_avgPR -0.001) and (avgPR >= avgPR ) Trendpear7up = (avgPR >= sma_avgPR) and (avgPR >= avgPR ) and (avgPR <= bigsma_avgPR) Trendpear8up = (avgPR >= sma_avgPR) and (avgPR >= avgPR ) and (avgPR >= bigsma_avgPR -0.03) Trendpear9up = (avgPR >= sma_avgPR) and (avgPR >= avgPR ) and (avgPR >= bigsma_avgPR) Weighting: The weights here are not linear. For example, the lightest condition may add 0.1 point, whereas the most extreme condition (e.g., when avgPR is not only above the moving average but also reaches a high proportion relative to bigsma_avgPR) might add as much as 90 points. Trendpear1up = 0.1 Trendpear2up = 0.2 Trendpear3up = 0.3 Trendpear4up = 0.4 Trendpear5up = 0.5 Trendpear6up = 0.69 Trendpear7up = 7 Trendpear8up = 8.9 Trendpear9up = 90 Total Score: The positive score (posScoreTrendpear) is the sum of the weights from all conditions that are satisfied. A negative counterpart (negScoreTrendpear) exists similarly for when the trend indicates a downward bias. Trendpear integrates both the level and the direction of change in the correlations, giving a strong numeric indication when the market starts to diverge from its short-term average. 4. Deviation Score What It Represents: The “Écart” score quantifies how far the asset’s price deviates from the boundaries defined by the regression channels. This metric can indicate if the price is excessively deviating—which might signal an eventual reversion—or confirming a breakout. How It’s Calculated: Conditions: For each channel (with at least seven channels contributing to the scoring from the provided code), there are three levels of deviation: First tier (EcartXup): Checks if the price is below the upper boundary but above a second boundary. Second tier (EcartXup2): Checks if the price has dropped further, between a lower and a more extreme boundary. Third tier (EcartXup3): Checks if the price is below the most extreme limit. Weighting: Each tier within a channel has a very small weight for the lowest severities (for example, 0.0001 for the first tier, 0.0002 for the second, 0.0003 for the third) with weights increasing with the channel index. First channel : 0.0001 to 0.0003 (very short term) Second channel : 0.001 to 0.003 (short term) Third channel : 0.01 to 0.03 (short mid term) 4th channel : 0.1 to 0.3 ( mid term) 5th channel: 1 to 3 (long mid term) 6th channel : 10 to 30 (long term) 7th channel : 100 to 300 (very long term) Total Score: The overall positive score (posScoreEcart) is the sum of all the weights for conditions met among the first, second, and third tiers. The corresponding negative score (negScoreEcart) is calculated similarly (using conditions when the price is above the channel boundaries), with the weights being the same in magnitude but negative in sign. This layered scoring method allows the indicator to reflect both minor and major deviations in a gradated and cumulative manner. Example : Score + = 321.0001 Score - = -0.111 The asset price is really overextended in long term view, not for mid term & short term expect the in the very short term. Score + = 0.0033 Score - = -1.11 The asset price is really extended in short term view, not for mid term (even a bit underextended) & long term is neutral 5. Slope Score What It Represents: The Slope score captures the trend direction and steepness of the regression channels. It reflects whether the regression line (and hence the underlying trend) is sloping upward or downward. How It’s Calculated: Conditions: if the slope has a uptrend = 1 if the slope has a downtrend = -1 Weighting: First channel : 0.0001 to 0.0003 (very short term) Second channel : 0.001 to 0.003 (short term) Third channel : 0.01 to 0.03 (short mid term) 4th channel : 0.1 to 0.3 ( mid term) 5th channel: 1 to 3 (long mid term) 6th channel : 10 to 30 (long term) 7th channel : 100 to 300 (very long term) The positive slope conditions incrementally add weights from 0.0001 for the smallest positive slopes to 100 for the largest among the seven checks. And negative for the downward slopes. The positive score (posScoreSlope) is the sum of all the weights from the upward slope conditions that are met. The negative score (negScoreSlope) sums the negative weights when downward conditions are met. Example : Score + = 111 Score - = -0.1111 Trend is up for longterm & down for mid & short term The slope score therefore emphasizes both the magnitude and the direction of the trend as indicated by the regression channels, with an intentional asymmetry that flags strong downtrends more aggressively. Summary For each category—BigPear, Pear, Trendpear, Écart, and Slope—the indicator evaluates a defined set of conditions. Each condition is a binary test (true/false) based on different thresholds or comparisons (for example, comparing the current value to a moving average or a channel boundary). When a condition is true, its assigned weight is added to the cumulative score for that category. These individual scores, both positive and negative, are then displayed in a table, making it easy for the trader to see at a glance where the market stands according to each analytical dimension. This comprehensive, weighted approach allows the indicator to encapsulate several layers of market information into a single set of scores, aiding in the identification of potential trading opportunities or market reversals. 5. Practical Use and Application How to Use the Indicator: Interpreting the Signals: On your chart, observe the following components: The individual correlation curves and their average, plotted with visual thresholds; Visual markers (such as emojis and shape markers) that signal potential oversold or overbought conditions The summary table that aggregates the scores from each category, offering a quick glance at the market’s state. Trading Alerts and Decisions: Set your TradingView alerts through the alertcondition functions provided by the indicator. This way, you receive immediate notifications when critical conditions are met, allowing you to react as soon as the market reaches key levels. This tool is especially beneficial for advanced traders who want to combine multiple technical dimensions to optimize entry and exit points with a confluence of signals. Conclusion and Additional Insights In summary, this advanced indicator innovatively combines multi-scale Pearson correlation analysis (via multiple linear regressions) with robust regression channel analysis. It offers a deep and nuanced view of market dynamics by delivering clear visual signals and a comprehensive numerical summary through a built-in score table. Combine this indicator with other tools (e.g., oscillators, moving averages, volume indicators) to enhance overall strategy robustness.
Pine Script®指標
由AlwwAl提供
Breakout Scanner with VWAP + RSI + MACD + Volume SpikePRICE & MOVING AVERAGES 🟠 MA(10), MA(50), MA(200) Purpose: Track price trends over different time horizons MA10 – Very short-term trend (micro pullbacks) MA50 – Intermediate trend (support/resistance) MA200 – Long-term sentiment (bullish or bearish overall) Use: Crossovers indicate trend reversals. E.g., MA10 < MA50 = bearish. 📉 EMA(9), EMA(12), EMA(34) EMA = Exponential Moving Average Reacts faster than MA, used for quick entries/exits Common Strategy: EMA 9 crossing below EMA 34 → short signal You’re currently in a downtrend, as all EMAs slope down and price is below them. 🔵 VWAP (Volume Weighted Average Price) Purpose: Institutional benchmark Traders use VWAP as a mean reversion level. If price is below VWAP → bearish control; above → bullish control. In your chart: QQQ is below VWAP, suggesting institutional selling. 📊 BOLL(20) = Bollinger Bands Tracks volatility using 20-period MA ± 2 std. dev. Bands widen when volatility increases. In your chart: Price is riding the lower band → bearish pressure 🔁 RSI(14) = Relative Strength Index Measures momentum Ranges from 0 to 100 Above 70 = Overbought Below 30 = Oversold Current RSI is around 30–40, suggesting weak momentum, near oversold 📉 MACD (12, 26, 9) MACD Line (blue) = 12EMA - 26EMA Signal Line (red) = 9 EMA of MACD line Histogram = MACD – Signal When MACD crosses below Signal line → bearish Your chart: Histogram is red and increasing → bearish strength increasing ✅ SUMMARY FOR QQQ CHART (LIVE INTERPRETATION) Indicator Reading Signal MA/EMA All sloping down ❌ Bearish VWAP Price below VWAP ❌ Bearish Bollinger Price hugging lower band ❌ Bearish RSI(14) ~30-40 ⚠️ Weak MACD Red histogram growing ❌ Bearish Would you like me to generate a script-based trade signal system combining EMA + RSI + MACD for QQQ intraday calls/puts?
Pine Script®指標
由karothu提供
Daily Levels & Time MarkersKey Features: Price Level Tracking: Previous Day High/Low (PDH/PDL) - Shows yesterday's highest and lowest prices as horizontal lines Overnight High/Low (ONH/ONL) - Tracks the highest and lowest prices during overnight sessions (4:00 PM to 9:30 AM ET) Opening Range High/Low (ORH/ORL) - Captures the price range during the first 30 minutes of regular trading (9:30-10:00 AM ET) Visual Elements: Draws horizontal lines for previous day levels that extend across the chart Creates rays (extending lines) for overnight and opening range levels that project forward from when they were established Uses different colors and line styles for each level type (solid lines for daily levels, dashed for opening range) Adds text labels showing the exact price values (PDH, PDL, ONH, ONL, ORH, ORL) Time Markers: Draws vertical dashed lines at key trading times: 10:00 AM, 11:30 AM, 1:00 PM, 2:30 PM, and 4:00 PM ET Uses Eastern Time zone by default but allows customization Customization Options: Toggle each feature on/off independently Customize colors for all line types Adjust timezone settings
Pine Script®指標
由williams233aw提供