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Combined ATPC & MACD DivergenceTrend Optimizer + Divergence Finder in One Unified Tool 🔍 Overview: This powerful dual-system indicator merges two proven analytical engines: ✅ The Algorganic Typical Price Channel (ATPC) — a custom trend oscillator that highlights mean-reversion and directional bias. ✅ A refined MACD system with divergence detection, enhanced with an adjusted Donchian midline for real-time trend strength filtering. Together, they provide a high-confidence, multi-signal system ideal for swing trading, scalping, or confirming reversals with context. ⚙️ Core Components & Logic 🧠 1. ATPC Engine (Trend Commodity Index) A momentum and volatility-normalized oscillator based on the typical price (H+L+C)/3: TrendCI Line (Blue) – Main trend signal based on smoothed CCI logic. TrendLine2 (Orange) – A slower smoothing of TrendCI for crossovers. Key Zones (customizable): 🔴 Ultra Overbought: +73 🟣 Overbought: +58 🟣 Oversold: -58 🔴 Ultra Oversold: -73 Trade Logic: ✅ Buy Signal: TrendCI crosses above TrendLine2 while in oversold zone ❌ Sell Signal: TrendCI crosses below TrendLine2 while in overbought zone Additional visual feedback: Histogram Bars show strength and direction of momentum shift Green/Red Circles highlight potential long/short setups 📉 2. MACD System + Divergence Finder Classic MACD enhanced with a Donchian Midline overlay to filter trend bias. 🔷 MACD Line and 🟠 Signal Line show crossover momentum 🟩/🟥 Histogram shows distance from the signal line 🟪 Adjusted Donchian Midline dynamically adapts to range-bound vs trending environments Background Color provides real-time trend state: ✅ Green = Bullish Trend ❌ Red = Bearish Trend No color = Neutral / Choppy MACD Boundaries (user-defined): Overbought: +1.0 Oversold: -1.0 🔀 3. Divergence Detection Spot hidden power shifts before price reacts: 🔼 Positive Divergence – Price makes lower lows, but MACD histogram rises 🔽 Negative Divergence – Price makes higher highs, but MACD histogram weakens These are visually marked with: Green “+Div” label (bullish reversal cue) Red “–Div” label (bearish exhaustion signal) 🎯 How to Use It For Trend Traders: Stay in sync with macro trend using MACD histogram + background Use ATPC crossovers for precision entries Avoid signals during neutral background (chop filter) For Reversal Traders: Look for bullish +Div with ATPC buy signal in oversold zone Look for bearish –Div with ATPC sell signal in overbought zone Mid-Donchian line can act as confluence or breakout trigger For Scalpers & Intraday Traders: Combine with VWAP, liquidity zones, or order flow levels ATPC crossovers + MACD histogram zero-line flip = potential scalp entry Use histogram slope and divergence to avoid false momentum traps 🧩 Customizable Inputs 🎛️ ATPC: Channel & Smoothing lengths, overbought/oversold thresholds 🎛️ MACD: Fast/slow EMAs, signal smoothing, Donchian period, bounds 🎨 Fully theme-compatible with adjustable colors and line styles 🔔 Alerts (Add Your Own) While this version doesn’t contain built-in alerts, you can easily add alerts based on: buySignal or sellSignal from ATPC logic Histogram cross zero or trend flip MACD Divergence event 📜 “This indicator doesn't just show signals—it tells a story about who’s in control of the market, and when that control might be slipping.”
Pine Script® göstergesi
herose4the tarafından
ADX with Signal & ThresholdsHere’s a concise description and instruction set for your ADX script: 📊 ADX with Signal & Thresholds – Description & Instructions This indicator plots the ADX line, a custom signal line, and up to three threshold levels to help assess trend strength. 🔧 How It Works • ADX measures trend strength (not direction) • Signal Line is a smoothed version of ADX using your selected MA type • Thresholds highlight trend significance levels (e.g. 20 = weak, 25/40 = strong) ⚙️ Inputs • ADX Length: Defines smoothing period • Signal Line: Customizable MA type (EMA/SMA/RMA/TMA) and length • Threshold Lines: Adjustable levels with individual colors 🧠 Use It To • Spot trend confirmation when ADX > Signal • Detect strong trends above threshold levels (e.g. >25 or >40) • Filter out sideways markets when ADX < 20 Let me know if you want to add alerts for crossovers or threshold breaches.
Pine Script® göstergesi
jrp320 tarafından
QG-Particle OscillatorThis is an advanced oscillator based on auxiliary particle filter. It separates signal from noise and uses smoothing algorithm similar to JMA. The main oscillator line is a smoothed and detrended version of the price series similar to detrended oscillator line. The purple/aqua lines are a prediction based on an additional adaptive smoothing technique and current volatility. The prediction is smoothed twice and is supposed to represent the true signal without any noise, thus the prediction should always be less than the raw detrend line. However, certain volatile conditions will cause the prediction to cross above/below the detrend line. When this happens the likelihood of a reversal or pullback is extremely high. There are 3 dots on the zero line- Red, Green and Yellow. The yellow dots warn of an eminent pullback 2 bars before it actually occurs. This is a non-repainting indicator. One can also use this indicator to trade CCI signals, similar to zero line rejection in existing trend. The indicator has 2 settings- Period and Phase. The phase represents cycle phase and Period represents oscillator period. Credits: This indicator has been originally published for Ninjatrader and this is conversion into pinescript.
Pine Script® göstergesi
QuantG tarafından
CNN Statistical Trading System [PhenLabs]📌 DESCRIPTION An advanced pattern recognition system utilizing Convolutional Neural Network (CNN) principles to identify statistically significant market patterns and generate high-probability trading signals. CNN Statistical Trading System transforms traditional technical analysis by applying machine learning concepts directly to price action. Through six specialized convolution kernels, it detects momentum shifts, reversal patterns, consolidation phases, and breakout setups simultaneously. The system combines these pattern detections using adaptive weighting based on market volatility and trend strength, creating a sophisticated composite score that provides both directional bias and signal confidence on a normalized -1 to +1 scale. 🚀 CONCEPTS • Built on Convolutional Neural Network pattern recognition methodology adapted for financial markets • Six specialized kernels detect distinct price patterns: upward/downward momentum, peak/trough formations, consolidation, and breakout setups • Activation functions create non-linear responses with tanh-like behavior, mimicking neural network layers • Adaptive weighting system adjusts pattern importance based on current market regime (volatility < 2% and trend strength) • Multi-confirmation signals require CNN threshold breach (±0.65), RSI boundaries, and volume confirmation above 120% of 20-period average 🔧 FEATURES Six-Kernel Pattern Detection: Simultaneous analysis of upward momentum, downward momentum, peak/resistance, trough/support, consolidation, and breakout patterns using mathematically optimized convolution kernels. Adaptive Neural Architecture: Dynamic weight adjustment based on market volatility (ATR/Price) and trend strength (EMA differential), ensuring optimal performance across different market conditions. Professional Visual Themes: Four sophisticated color palettes (Professional, Ocean, Sunset, Monochrome) with cohesive design language. Default Monochrome theme provides clean, distraction-free analysis. Confidence Band System: Upper and lower confidence zones at 150% of threshold values (±0.975) help identify high-probability signal areas and potential exhaustion zones. Real-Time Information Panel: Live display of CNN score, market state with emoji indicators, net momentum, confidence percentage, and RSI confirmation with dynamic color coding based on signal strength. Individual Feature Analysis: Optional display of all six kernel outputs with distinct visual styles (step lines, circles, crosses, area fills) for advanced pattern component analysis. User Guide • Monitor CNN Score crossing above +0.65 for long signals or below -0.65 for short signals with volume confirmation • Use confidence bands to identify optimal entry zones - signals within confidence bands carry higher probability • Background intensity reflects signal strength - darker backgrounds indicate stronger conviction • Enter long positions when blue circles appear above oscillator with RSI < 75 and volume > 120% average • Enter short positions when dark circles appear below oscillator with RSI > 25 and volume confirmation • Information panel provides real-time confidence percentage and momentum direction for position sizing decisions • Individual feature plots allow granular analysis of specific pattern components for strategy refinement 💡Conclusion CNN Statistical Trading System represents the evolution of technical analysis, combining institutional-grade pattern recognition with retail accessibility. The six-kernel architecture provides comprehensive market pattern coverage while adaptive weighting ensures relevance across all market conditions. Whether you’re seeking systematic entry signals or advanced pattern confirmation, this indicator delivers mathematically rigorous analysis with intuitive visual presentation.
Pine Script® göstergesi
PhenLabs tarafından
1
RSI-Adaptive T3 [ChartPrime]The RSI-Adaptive T3 is a precision trend-following tool built around the legendary T3 smoothing algorithm developed by Tim Tillson , designed to enhance responsiveness while reducing lag compared to traditional moving averages. Current implementation takes it a step further by dynamically adapting the smoothing length based on real-time RSI conditions — allowing the T3 to “breathe” with market volatility. This dynamic length makes the curve faster in trending moves and smoother during consolidations. To help traders visualize volatility and directional momentum, adaptive volatility bands are plotted around the T3 line, with visual crossover markers and a dynamic info panel on the chart. It’s ideal for identifying trend shifts, spotting momentum surges, and adapting strategy execution to the pace of the market. HOIW IT WORKS At its core, this indicator fuses two ideas: The T3 Moving Average — a 6-stage recursively smoothed exponential average created by Tim Tillson , designed to reduce lag without sacrificing smoothness. It uses a volume factor to control curvature. A Dynamic Length Engine — powered by the RSI. When RSI is low (market oversold), the T3 becomes shorter and more reactive. When RSI is high (overbought), the T3 becomes longer and smoother. This creates a feedback loop between price momentum and trend sensitivity. // Step 1: Adaptive length via RSI rsi = ta.rsi(src, rsiLen) rsi_scale = 1 - rsi / 100 len = math.round(minLen + (maxLen - minLen) * rsi_scale) pine_ema(src, length) => alpha = 2 / (length + 1) sum = 0.0 sum := na(sum ) ? src : alpha * src + (1 - alpha) * nz(sum ) sum // Step 2: T3 with adaptive length e1 = pine_ema(src, len) e2 = pine_ema(e1, len) e3 = pine_ema(e2, len) e4 = pine_ema(e3, len) e5 = pine_ema(e4, len) e6 = pine_ema(e5, len) c1 = -v * v * v c2 = 3 * v * v + 3 * v * v * v c3 = -6 * v * v - 3 * v - 3 * v * v * v c4 = 1 + 3 * v + v * v * v + 3 * v * v t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3 The result: an evolving trend line that adapts to market tempo in real-time. KEY FEATURES ⯁ RSI-Based Adaptive Smoothing The length of the T3 calculation dynamically adjusts between a Min Length and Max Length , based on the current RSI. When RSI is low → the T3 shortens, tracking reversals faster. When RSI is high → the T3 stretches, filtering out noise during euphoria phases. Displayed length is shown in a floating table, colored on a gradient between min/max values. ⯁ T3 Calculation (Tim Tillson Method) The script uses a 6-stage EMA cascade with a customizable Volume Factor (v) , as designed by Tillson (1998) . Formula: T3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3 This technique gives smoother yet faster curves than EMAs or DEMA/Triple EMA. ⯁ Visual Trend Direction & Transitions The T3 line changes color dynamically: Color Up (default: blue) → bullish curvature Color Down (default: orange) → bearish curvature Plot fill between T3 and delayed T3 creates a gradient ribbon to show momentum expansion/contraction. Directional shift markers (“🞛”) are plotted when T3 crosses its own delayed value — helping traders spot trend flips or pullback entries. ⯁ Adaptive Volatility Bands Optional upper/lower bands are plotted around the T3 line using a user-defined volatility window (default: 100). Bands widen when volatility rises, and contract during compression — similar to Bollinger logic but centered on the adaptive T3. Shaded band zones help frame breakout setups or mean-reversion zones. ⯁ Dynamic Info Table A live stats panel shows: Current adaptive length Maximum smoothing (▲ MaxLen) Minimum smoothing (▼ MinLen) All values update in real time and are color-coded to match trend direction. HOW TO USE Use T3 crossovers to detect trend transitions, especially during periods of volatility compression. Watch for volatility contraction in the bands — breakouts from narrow band periods often precede trend bursts. The adaptive smoothing length can also be used to assess current market tempo — tighter = faster; wider = slower. CONCLUSION RSI-Adaptive T3 modernizes one of the most elegant smoothing algorithms in technical analysis with intelligent RSI responsiveness and built-in volatility bands. It gives traders a cleaner read on trend health, directional shifts, and expansion dynamics — all in a visually efficient package. Perfect for scalpers, swing traders, and algorithmic modelers alike, it delivers advanced logic in a plug-and-play format.
Pine Script® göstergesi
ChartPrime tarafından
7
CHN BUY SELL with EMA 200Overview This indicator combines RSI 7 momentum signals with EMA 200 trend filtering to generate high-probability BUY and SELL entry points. It uses colored candles to highlight key market conditions and displays clear trading signals with built-in cooldown periods to prevent signal spam. Key Features Colored Candles: Visual momentum indicators based on RSI 7 levels Trend Filtering: EMA 200 confirms overall market direction Signal Cooldown: Prevents over-trading with adjustable waiting periods Clean Interface: Simple BUY/SELL labels without clutter How It Works Candle Coloring System Yellow Candles: Appear when RSI 7 ≥ 70 (overbought momentum) Purple Candles: Appear when RSI 7 ≤ 30 (oversold momentum) Normal Candles: All other market conditions Trading Signals BUY Signal: Triggered when closing price > EMA 200 AND yellow candle appears SELL Signal: Triggered when closing price < EMA 200 AND purple candle appears Signal Cooldown After a BUY or SELL signal appears, the same signal type is suppressed for a specified number of candles (default: 5) to prevent excessive signals in ranging markets. Settings RSI 7 Length: Period for RSI calculation (default: 7) RSI 7 Overbought: Threshold for yellow candles (default: 70) RSI 7 Oversold: Threshold for purple candles (default: 30) EMA Length: Period for trend filter (default: 200) Signal Cooldown: Candles to wait between same signal type (default: 5) How to Use Apply the indicator to your chart Look for yellow or purple colored candles For LONG entries: Wait for yellow candle above EMA 200, then enter BUY when signal appears For SHORT entries: Wait for purple candle below EMA 200, then enter SELL when signal appears Use appropriate risk management and position sizing Best Practices Works best on timeframes M15 and higher Suitable for Forex, Gold, Crypto, and Stock markets Consider market volatility when setting stop-loss and take-profit levels Use in conjunction with proper risk management strategies Technical Details Overlay: True (plots directly on price chart) Calculation: Based on RSI momentum and EMA trend analysis Signal Logic: Combines momentum exhaustion with trend direction Visual Feedback: Colored candles provide immediate market condition awareness
Pine Script® göstergesi
CHNTeam tarafından
Candle Count RSI📈 Candle Count RSI — A Dual-Perspective Momentum Engine The Candle Count RSI is a custom-built momentum oscillator that expands on the classic Relative Strength Index (RSI) by introducing a directional-only variant that tracks the frequency of bullish or bearish closes, rather than price magnitude. It gives traders a second lens through which to evaluate momentum, trend conviction, and subtle divergences—often invisible to traditional price-based RSI. 💡 What Makes It Unique? While the standard RSI is sensitive to the size of price changes, the Candle Count RSI is magnitude-blind. It counts candle closes above/below open over a lookback period, generating a purer signal of directional consistency. To enhance signal fidelity, it includes a streak amplifier, dynamically weighting extended runs of green or red candles to reflect intensity of market bias—without introducing artificial price sensitivity. This dual-RSI approach allows for: - Divergence detection between directional bias and price magnitude. - Smoother trend confirmation in choppy markets. - Cleaner visual cues using dynamic glow and background logic. 📐 How Standard RSI Actually Works (Not What You Think) RSI doesn’t just check if price went up or down over a span—it checks each individual candle and tracks whether it closed higher or lower than the one before. Here's how it works under the hood: 1.) For each bar, it calculates the change from the previous close. 2.) It separates those changes into gains (upward moves) and losses (downward moves). 3.) Then it computes a smoothed average of those gains and losses (usually using an RMA). 4.) It calculates the Relative Strength (RS) as: RS = AvgGain / AvgLoss 5.) Finally, it plugs that into the RSI formula: RSI = 100 - (100 / (1 + RS)) ⚖️ What Does the 50 Line Mean? - The RSI scale runs from 0 to 100, but 50 is the true neutral zone: - RSI > 50 means average gains outweigh average losses over the period. - RSI < 50 means losses dominate. - RSI ≈ 50? The market is balanced—momentum is indecisive, no clear trend bias. - This makes 50 a powerful midline for trend filters, directional bias tools, and divergence detection—especially when paired with alternative RSI logic like Candle Count RSI. 🔧 Inputs and Customization - Everything is fully modular and customizable: 🧠 Core Settings - RSI Length: Used for both the standard RSI and Candle Count RSI. 📉 Standard RSI - Classic RSI calculation based on price changes. - Optional WMA smoothing to reduce noise. - Glow effect toggle with custom intensity. 🕯 Candle Count RSI - Computes RSI using only the count of up/down candles. - Optional smoothing for stability. - Amplifies streaks (e.g., multiple consecutive bullish candles increase strength). - Glow effect toggle with adjustable strength. 🎇 Glow Visuals - Background glow (subpane and/or main chart). - Fades based on RSI distance from the 50 midpoint. - Independent color settings for bull and bear bias. 🧬 Divergence Zones - Detects when Candle RSI and Standard RSI diverge. - Highlights: - Bullish Divergence: Candle RSI > 50, Standard RSI < threshold. - Bearish Divergence: Candle RSI < 50, Standard RSI > threshold. - Background fill optionally shown in subpane and/or main chart. 📊 Directional Histogram - MACD-style histogram showing the difference between the two RSI lines. - Color-coded based on directional agreement: - Both rising → green. - Both falling → red. - Conflict → yellow. 🧠 Under the Hood — How It Works 🔹 Standard RSI - Classic ta.rsi() applied to close prices, optionally WMA-smoothed. 🔹 Candle Count RSI (CCR) - Counts how many candles closed up/down over the period. - Computes a magnitude-free RSI from these counts. - Applies a streak-based multiplier to exaggerate trend strength during consecutive green/red runs. - Optionally smoothed with WMA to create a clean signal line. - This makes CCR ideal for detecting true directional bias without being faked out by volatile price spikes. 🔹 Divergence Logic - When Candle RSI and Standard RSI disagree strongly across defined thresholds, background fills highlight early signs of momentum decay or hidden accumulation/distribution. 🔹 Glow Logic - Glow zones are controlled by a master toggle and drawn with dynamic transparency: - Further from 50 = stronger conviction = darker glow. - Shows up in subpane and/or main chart depending on user preference. 📷 Suggested Use Case / Visual Setup - Use in conjunction with your primary price action system. - Watch for divergences between the Candle Count RSI and Standard RSI for early trend reversals. - Use glow bias zones on the main chart to get subconscious directional cues during fast scalping. - Histogram helps you confirm when both RSI variants agree—useful during strong trending conditions. 🛠️ Tip for Traders - This tool isn’t trying to “predict” price. It’s designed to visualize hidden market psychology—when buyers are showing up with consistent pressure, or when momentum has a disconnect between conviction and magnitude. Use this to filter entries, spot weak rallies, or sense when a trend is about to break down. ⚠️ WARNING - Not for use with Heikin Ashi, Renko, etc.). 🧠 Summary Candle Count RSI is not just another mashup—it's a precision-built, dual-perspective oscillator that captures directional conviction using real candle behavior. Whether you're scalping intraday or swing trading momentum, this script helps clarify trend integrity and exposes hidden weaknesses with elegance and clarity. — 🛠️ Built by: Sherlock_MacGyver Feel free to share feedback or reach out if you'd like to collaborate on custom features.
Pine Script® göstergesi
Sherlock_MacGyver tarafından
1
RSI Trend RiderRSI Trend Rider is a long only, momentum-based trend-following strategy designed for rules based trading. It combines a setup of EMAs (20, 50, 200), RSI(4), ADX filtering, and a daily 120 EMA to capture high-probability long trades in trending markets. Works best on intraday timeframes (2h, 4h) Key Features: Multi-timeframe trend confirmation (EMA alignment + daily EMA) RSI(4) pullback entries in strong trends ADX filter to avoid low-momentum conditions Configurable fixed and EMA-based stop loss/target options Built-in performance dashboard with key metrics like PnL, drawdown, win rate, and buy & hold comparison (can be turned off on mobile or small screens). Customizable backtest period and risk settings Ideal for traders looking for a simple, data-driven system that rides trends and compounds small, consistent wins.
Pine Script® stratejisi
brandondtrader tarafından
System 0530 - Stoch RSI 指标 (带ATR)Indicator Overview: System 0530 - Stoch RSI Signals (ATR Filtered) This indicator displays potential long and short signals directly on your chart. It combines a dual-timeframe Stochastic RSI analysis (using the current chart timeframe and the 15-minute timeframe) with an ATR (Average True Range) volatility filter. Signal Logic: Initial Trigger: Based on Stochastic RSI crossovers and overbought/oversold levels on the current chart timeframe (e.g., 5-minute). Confirmation: Seeks further confirmation from the 15-minute Stochastic RSI. ATR Filter: An optional ATR filter helps ensure signals are considered only when market volatility is deemed sufficient. Signal Cooldown: Prevents too many signals of the same direction in rapid succession. Display: Long Signals: Marked with a green upward triangle below the price bar. Short Signals: Marked with a red downward triangle above the price bar. Purpose: Designed to assist traders in identifying potential entry points based on Stochastic RSI conditions and market volatility. Users can adjust various parameters to suit different instruments and trading strategies.
Pine Script® göstergesi
Archertoria tarafından
System 0530 - Stoch RSI Strategy with ATR filterStrategy Description: System 0530 - Multi-Timeframe Stochastic RSI with ATR Filter Overview: This strategy, "System 0530," is designed to identify trading opportunities by leveraging the Stochastic RSI indicator across two different timeframes: a shorter timeframe for initial signal triggers (assumed to be the chart's current timeframe, e.g., 5-minute) and a longer timeframe (15-minute) for signal confirmation. It incorporates an ATR (Average True Range) filter to help ensure trades are taken during periods of adequate market volatility and includes a cooldown mechanism to prevent rapid, successive signals in the same direction. Trade exits are primarily handled by reversing signals. How It Works: 1. Signal Initiation (e.g., 5-Minute Timeframe): Long Signal Wait: A potential long entry is considered when the 5-minute Stochastic RSI %K line crosses above its %D line, AND the %K value at the time of the cross is at or below a user-defined oversold level (default: 30). Short Signal Wait: A potential short entry is considered when the 5-minute Stochastic RSI %K line crosses below its %D line, AND the %K value at the time of the cross is at or above a user-defined overbought level (default: 70). When these conditions are met, the strategy enters a "waiting state" for confirmation from the 15-minute timeframe. 2. Signal Confirmation (15-Minute Timeframe): Once in a waiting state, the strategy looks for confirmation on the 15-minute Stochastic RSI within a user-defined number of 5-minute bars (wait_window_5min_bars, default: 5 bars). Long Confirmation: The 15-minute Stochastic RSI %K must be greater than or equal to its %D line. The 15-minute Stochastic RSI %K value must be below a user-defined threshold (stoch_15min_long_entry_level, default: 40). Short Confirmation: The 15-minute Stochastic RSI %K must be less than or equal to its %D line. The 15-minute Stochastic RSI %K value must be above a user-defined threshold (stoch_15min_short_entry_level, default: 60). 3. Filters: ATR Volatility Filter: If enabled, trades are only confirmed if the current ATR value (converted to ticks) is above a user-defined minimum threshold (min_atr_value_ticks). This helps to avoid taking signals during periods of very low market volatility. If the ATR condition is not met, the strategy continues to wait for the condition to be met within the confirmation window, provided other conditions still hold. Signal Cooldown Filter: If enabled, after a signal is generated, the strategy will wait for a minimum number of bars (min_bars_between_signals) before allowing another signal in the same direction. This aims to reduce overtrading. 4. Entry and Exit Logic: Entry: A strategy.entry() order is placed when all trigger, confirmation, and filter conditions are met. Exit: This strategy primarily uses reversing signals for exits. For example, if a long position is open, a confirmed short signal will close the long position and open a new short position. There are no explicit take profit or stop loss orders programmed into this version of the script. Key User-Adjustable Parameters: Stochastic RSI Parameters: RSI Length, Stochastic RSI Length, %K Smoothing, %D Smoothing. Signal Trigger & Confirmation: 5-minute %K trigger levels for long and short. 15-minute %K confirmation thresholds for long and short. Wait window (in 5-minute bars) for 15-minute confirmation. Filters: Enable/disable and configure the Signal Cooldown filter (minimum bars between signals). Enable/disable and configure the ATR Volatility filter (ATR period, minimum ATR value in ticks). Strategy Parameters: Leverage Multiplier (Note: This primarily affects theoretical position sizing for backtesting calculations in TradingView and does not simulate actual leveraged trading risks). Recommendations for Users: Thorough Backtesting: Test this strategy extensively on historical data for the instruments and timeframes you intend to trade. Parameter Optimization: Experiment with different parameter settings to find what works best for your trading style and chosen markets. The default values are starting points and may not be optimal for all conditions. Understand the Logic: Ensure you understand how each component (Stochastic RSI on different timeframes, ATR filter, cooldown) interacts to generate signals. Risk Management: Since this version does not include explicit stop-loss orders, ensure you have a clear risk management plan in place if trading this strategy live. You might consider manually adding stop-loss orders through your broker or using TradingView's separate strategy order settings for stop-loss if applicable. Disclaimer: This strategy description is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves significant risk of loss. Always do your own research and understand the risks before trading.
Pine Script® stratejisi
Archertoria tarafından
Quantum Volume Pulse Screener - Multi TimeframeQuantum Volume Pulse Screener - Multi Timeframe Overview The Quantum Volume Pulse Screener is a powerful Pine Script® indicator designed for TradingView to monitor multiple symbols across user-selected timeframes (1-minute or 5-minute). This tool provides traders with real-time insights into price action, Volume Weighted Average Price (VWAP), Relative Strength Index (RSI), and buy/sell signals for a curated list of high-profile stocks and ETFs, including SPY, QQQ, AAPL, AMZN, GOOG, GOOGL, META, AVGO, TSLA, and NFLX. The screener displays data in a clean, customizable table, enabling quick decision-making for active traders. Fully customizable to any ETFs or Stocks. Key Features Multi-Symbol Analysis: Tracks up to 10 user-defined symbols, defaulting to major ETFs (SPY, QQQ) and leading tech stocks (AAPL, AMZN, GOOG, GOOGL, META, AVGO, TSLA, NFLX). Customizable Timeframe: Toggle between 1-minute and 5-minute timeframes for flexible analysis. Comprehensive Metrics: Displays real-time data for: Price: Current closing price with color-coded daily change (green for positive, pink for negative). VWAP: Volume Weighted Average Price for intraday trend analysis. RSI: 14-period RSI with overbought (>70, pink) and oversold (<30, green) highlights. Signals: Generates "BUY" (RSI < 30), "SELL" (RSI > 70), or neutral ("-") signals. Dynamic Table Display: Presents data in a clear, top-center table with up to 500 labels for historical reference. Error Handling: Alerts users to invalid data (e.g., incorrect symbols or timeframes) and displays a weekend warning for stale data. Real-Time Updates: Refreshes data on every bar to ensure accuracy during live trading sessions. How It Works The script fetches real-time data for each symbol using TradingView’s request.security function, calculating: Price: Based on the current bar’s close. VWAP: Computed using the HLC3 (High + Low + Close / 3) formula. RSI: 14-period RSI to identify momentum and potential reversals. Daily Change: Percentage change in price to gauge short-term performance. Signals: RSI-based buy/sell triggers for quick trade identification. The data is organized into arrays and displayed in a table with color-coded visuals for easy interpretation. Green indicates bullish conditions (e.g., RSI < 30 or positive daily change), while pink highlights bearish conditions (e.g., RSI > 70 or negative daily change). Usage Instructions Add to Chart: Apply the indicator to any TradingView chart. Configure Settings: Select the desired timeframe (1-minute or 5-minute) via the input menu. Customize symbols by editing the ticker inputs (defaults to SPY, QQQ, AAPL, etc.). Interpret the Table: Monitor the table at the top-center of the chart for real-time updates. Look for "BUY" or "SELL" signals based on RSI thresholds. Use VWAP and price data to confirm trends or reversals. Check for Warnings: If "INVALID" appears, verify the symbol or timeframe settings. On weekends, a warning advises switching to a daily timeframe due to potentially stale data. Notes License: This script is licensed under the Mozilla Public License 2.0 (mozilla.org). Author: © StanTheTradingMan. Limitations: Ensure symbols are correctly formatted (e.g., "NASDAQ:AAPL" for stocks, "SPY" for ETFs). Invalid symbols or unavailable data may trigger error messages. Best Use Case: Ideal for day traders and swing traders monitoring multiple assets for short-term opportunities. Why Use This Screener? The Quantum Volume Pulse Screener consolidates critical market data into a single, visually intuitive interface, saving traders time and enhancing decision-making. Whether tracking major indices or individual stocks, this tool provides a real-time edge in fast-moving markets. For support or feedback, refer to TradingView’s community forums or contact the author via TradingView. Happy trading!
Pine Script® göstergesi
StanTheTradingMan tarafından
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \ \Overview\ The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise. \Calculation\ \ \ \Step 1: Weighted Price (P)\ For each bar t, compute a weighted price: ``` Pₜ = Hₜ + Lₜ + 2·Cₜ ``` where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t. Also compute Pₜ₋₁ for the prior bar. \ \Step 2: Raw Range (R)\ Calculate the two‐bar range: ``` Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁) ``` This Rₜ is used indirectly in the exponential dampener below. \ \Step 3: Normalize Volume (VolNorm)\ Compute an EMA of volume over n₁ bars (e.g. n₁=13): ``` EMA_Volₜ = EMA(Volume, n₁)ₜ ``` Then ``` VolNormₜ = Volumeₜ / EMA_Volₜ ``` If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero. \ \Step 4: BuyPower vs. SellPower\ Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically: • If Pₜ > Pₜ₋₁, ``` BuyPowerₜ = (VolNormₜ) / exp ``` otherwise ``` BuyPowerₜ = VolNormₜ. ``` • If Pₜ < Pₜ₋₁, ``` SellPowerₜ = (VolNormₜ) / exp ``` otherwise ``` SellPowerₜ = VolNormₜ. ``` Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10). \ \Step 5: Smooth Buy/Sell Power\ Apply a short EMA (n₂ bars, typically n₂=2) to each: ``` EMA_Buyₜ = EMA(BuyPower, n₂)ₜ EMA_Sellₜ = EMA(SellPower, n₂)ₜ ``` \ \Step 6: Raw Demand Index (DI\_raw)\ ``` DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ ``` A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite. \ \Step 7: Optional EMA Smoothing on DI (DI)\ To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5): ``` DIₜ = EMA(DI_raw, n₃)ₜ. ``` If n₃ = 1, DI = DI\_raw (no further smoothing). \ \Interpretation\ \ \ \Crossing Zero Line\ • DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal. • Crossing from above to below zero signals dominant selling pressure—potential Short signal. \ \DI\_raw vs. DI (EMA)\ • When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating. • When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration). \ \Divergences\ • If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal. • If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce. \ \Volume Confirmation\ • A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves. • Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout. \ \Usage Notes & Warnings\ \ \ \Never Use DI in Isolation\ It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades. \ \Parameter Selection\ • \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier. • \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing. • \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal. \ \Market Adaptation\ Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise. --- \In Summary\ The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Pine Script® göstergesi
TradeQUO tarafından
Adaptive Volume‐Demand‐Index (AVDI)Demand Index (according to James Sibbet) – Short Description The Demand Index (DI) was developed by James Sibbet to measure real “buying” vs. “selling” strength (Demand vs. Supply) using price and volume data. It is not a standalone trading signal, but rather a filter and trend confirmer that should always be used together with chart structure and additional indicators. --- \ 1. Calculation Basis\ 1. Volume Normalization $$ \text{normVol}_t = \frac{\text{Volume}_t}{\mathrm{EMA}(\text{Volume},\,n_{\text{Vol}})_t} \quad(\text{e.g., }n_{\text{Vol}} = 13) $$ This smooths out extremely high volume spikes and compares them to the average (≈ 1 means “average volume”). 2. Price Factor $$ \text{priceFactor}_t = \frac{\text{Close}_t - \text{Open}_t}{\text{Open}_t}. $$ Positive values for bullish bars, negative for bearish bars. 3. Component per Bar $$ \text{component}_t = \text{normVol}_t \times \text{priceFactor}_t. $$ If volume is above average (> 1) and the price rises slightly, this yields a noticeably positive value; conversely if the price falls. 4. Raw DI (Rolling Sum) Over a window of \$w\$ bars (e.g., 20): $$ \text{RawDI}_t = \sum_{i=0}^{w-1} \text{component}_{\,t-i}. $$ Alternatively, recursively for \$t \ge w\$: $$ \text{RawDI}_t = \text{RawDI}_{t-1} + \text{component}_t - \text{component}_{\,t-w}. $$ 5. Optional EMA Smoothing An EMA over RawDI (e.g., \$n\_{\text{DI}} = 50\$) reduces short-term fluctuations and highlights medium-term trends: $$ \text{EMA\_DI}_t = \mathrm{EMA}(\text{RawDI},\,n_{\text{DI}})_t. $$ 6.Zero Line Handy guideline: RawDI > 0: Accumulated buying power dominates. RawDI < 0: Accumulated selling power dominates. 2. Interpretation & Application Crossing Zero RawDI above zero → Indication of increasing buying pressure (potential long signal). RawDI below zero → Indication of increasing selling pressure (potential short signal).  Not to be used alone for entry—always confirm with price action. RawDI vs. EMA_DI RawDI > EMA\_DI → Acceleration of demand. RawDI < EMA\_DI → Weakening of demand. Divergences Price makes a new high, RawDI does not make a higher high → potential weakness in the uptrend. Price makes a new low, RawDI does not make a lower low → potential exhaustion of the downtrend. 3. Typical Signals (for Beginners) \ 1. Long Setup\ RawDI crosses zero from below, RawDI > EMA\_DI (acceleration), Price closes above a short-term swing high or resistance. Stop-Loss: just below the last swing low, Take-Profit/Trailing: on reversal signals or fixed R\:R. 2. Short Setup RawDI crosses zero from above, RawDI < EMA\_DI (increased selling pressure), Price closes below a short-term swing low or support. Stop-Loss: just above the last swing high. --- 4. Notes and Parameters Recommended Values (Beginners): Volume EMA (n₍Vol₎) = 13 RawDI window (w) = 20 EMA over DI (n₍DI₎) = 50 (medium-term) or 1 (no smoothing) Attention:\ NEVER use in isolation. Always in combination with price action analysis (trendlines, support/resistance, candlestick patterns). Especially during volatile news phases, RawDI can fluctuate strongly → EMA\_DI helps to avoid false signals. --- Conclusion The Demand Index by James Sibbet is a powerful filter to assess price movements by their volume backing. It shows whether a rally is truly driven by demand or merely a short-term volume anomaly. In combination with classic chart analysis and risk management, it helps to identify robust entry points and potential trend reversals earlier.
Pine Script® göstergesi
TradeQUO tarafından
TrendMaster Pro 2.3 with Alerts Hello friends, A member of the community approached me and asked me how to write an indicator that would achieve a particular set of goals involving comprehensive trend analysis, risk management, and session-based trading controls. Here is one example method of how to create such a system: Core Strategy Components Multi-Moving Average System - Uses configurable MA types (EMA, SMA, SMMA) with short-term (9) and long-term (21) periods for primary signal generation through crossovers Higher Timeframe Trend Filter - Optional trend confirmation using a separate MA (default 50-period) to ensure trades align with broader market direction Band Power Indicator - Dynamic high/low bands calculated using different MA types to identify price channels and volatility zones Advanced Signal Filtering Bollinger Bands Volatility Filter - Prevents trading during low-volatility ranging markets by requiring sufficient band width RSI Momentum Filter - Uses customizable thresholds (55 for longs, 45 for shorts) to confirm momentum direction MACD Trend Confirmation - Ensures MACD line position relative to signal line aligns with trade direction Stochastic Oscillator - Adds momentum confirmation with overbought/oversold levels ADX Strength Filter - Only allows trades when trend strength exceeds 25 threshold Session-Based Trading Management Four Trading Sessions - Asia (18:00-00:00), London (00:00-08:00), NY AM (08:00-13:00), NY PM (13:00-18:00) Individual Session Limits - Separate maximum trade counts for each session (default 5 per session) Automatic Session Closure - All positions close at specified market close time Risk Management Features Multiple Stop Loss Options - Percentage-based, MA cross, or band-based SL methods Risk/Reward Ratio - Configurable TP levels based on SL distance (default 1:2) Auto-Risk Calculation - Dynamic position sizing based on dollar risk limits ($150-$250 range) Daily Limits - Stop trading after reaching specified TP or SL counts per day Support & Resistance System Multiple Pivot Types - Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla calculations Flexible Timeframes - Auto-adjusting or manual timeframe selection for S/R levels Historical Levels - Configurable number of past S/R levels to display Visual Customization - Individual color and display settings for each S/R level Additional Features Alert System - Customizable buy/sell alert messages with once-per-bar frequency Visual Trade Management - Color-coded entry, SL, and TP levels with fill areas Session Highlighting - Optional background colors for different trading sessions Comprehensive Filtering - All signals must pass through multiple confirmation layers before execution This approach demonstrates how to build a professional-grade trading system that combines multiple technical analysis methods with robust risk management and session-based controls, suitable for algorithmic trading across different market sessions. Good luck and stay safe!
Pine Script® stratejisi
everget tarafından
11
Momentum Fusion v1Momentum Fusion v1 Overview Momentum Fusion v1 (MFusion) is a multi-oscillator indicator that combines several components to analyze market momentum and trend strength. It incorporates modified versions of classic indicators such as PVI (Positive Volume Index), NVI (Negative Volume Index), MFI (Money Flow Index), RSI, Stochastic, and Bollinger Bands Oscillator. The indicator displays a histogram that changes color based on momentum strength and includes "FUSION🔥" signal labels when extreme values are reached. Indicator Settings Parameters: EMA Length – Smoothing period for the moving average (default: 255). Smoothing Period – Internal calculation smoothing parameter (default: 15). BB Multiplier – Standard deviation multiplier for Bollinger Bands (default: 2.0). Show verde / marron / media lines – Toggles the display of auxiliary lines. Show FUSION🔥 label – Enables/disables signal labels. Indicator Components 1. PVI (Positive Volume Index) Formula: pvi := volume > volume ? nz(pvi ) + (close - close ) / close * sval : nz(pvi ) Description: PVI increases when volume rises compared to the previous bar and accounts for price percentage change. The stronger the price movement with increasing volume, the higher the PVI value. 2. NVI (Negative Volume Index) Formula: nvi := volume < volume ? nz(nvi ) + (close - close ) / close * sval : nz(nvi ) Description: NVI tracks price movements during declining volume. If the price rises on low volume, it may indicate a "stealth" trend. 3. Money Flow Index (MFI) Formula: 100 - 100 / (1 + up / dn) Description: An oscillator measuring money flow strength. Values above 80 suggest overbought conditions, while values below 20 indicate oversold conditions. 4. Stochastic Oscillator Formula: k = 100 * (close - lowest(low, length)) / (highest(high, length) - lowest(low, length)) Description: A classic stochastic oscillator showing price position relative to the selected period's range. 5. Bollinger Bands Oscillator Formula: (tprice - BB midline) / (upper BB - lower BB) * 100 Description: Indicates the price position relative to Bollinger Bands in percentage terms. Key Lines & Histogram 1. Verde (Green Line) Calculation: verde = marron + oscp (normalized PVI) Interpretation: Higher values indicate stronger bullish momentum. A FUSION🔥 signal appears when the value reaches 750+. 2. Marron (Brown Line) Calculation: marron = (RSI + MFI + Bollinger Osc + Stochastic / 3) / 2 Interpretation: A composite oscillator combining multiple indicators. Higher values suggest overbought conditions. 3. Media (Red Line) Calculation: media = EMA of marron with smoothing period Interpretation: Acts as a signal line for trend confirmation. 4. Histogram Calculation: histo = verde - marron Colors: Bright green (>100) – Strong bullish momentum. Light green (>0) – Moderate bullish momentum. Orange (<0) – Bearish momentum. Red (<-100) – Strong bearish momentum. Signals & Alerts 1. FUSION🔥 (Strong Momentum) Condition: verde >= 750 Visualization: A "FUSION🔥" label appears below the chart. Alert: Can be set to trigger notifications when the condition is met. 2. Background Aura Condition: verde > 850 Visualization: The chart background turns teal, indicating extreme momentum. Usage Recommendations FUSION🔥 Signal – Can be used as a long entry point when confirmed by other indicators. Histogram: 1. Green bars – Potential long entry. 2. Red/orange bars – Potential short entry. 3. Media & Marron Crossover – Can serve as an additional trend filter. 4. Suitable for a 5-15 minute time frame Conclusion Momentum Fusion v1 is a powerful tool for momentum analysis, combining multiple indicators into a unified system. It is suitable for: Trend traders (catching strong movements). Scalpers (identifying short-term impulses). Swing traders (filtering entry points). The indicator features customizable settings and visual signals, making it adaptable to various trading styles.
Pine Script® göstergesi
Zdorman tarafından
Contrarian Crowd OscillatorEver enter a trade because it looks super bullish or bearish and immediately goes the other way? The Contrarian Crowd Oscillator identifies dangerous market sentiment extremes by synthesizing multiple technical indicators into a single powerful contrarian signal. Stop getting trapped in crowded trades and start profiting from crowd psychology! What This Indicator Does This oscillator combines 6 different technical perspectives (RSI, Stochastic, Williams %R, CCI, ROC, and MFI) to measure market consensus and identify when sentiment becomes dangerously one-sided. It answers the critical question: "Is everyone thinking the same thing right now?" Why This Works Market psychology is predictable. When everyone becomes extremely bullish or bearish, they create unsustainable conditions: Extreme Bullishness: No buyers left to push prices higher Extreme Bearishness: No sellers left to push prices lower High Consensus: Crowded trades become vulnerable to sudden reversals This oscillator quantifies these psychological extremes and gives you the edge to trade against the crowd when they're most likely to be wrong.
Pine Script® göstergesi
B3AR_Trades tarafından
2
HARSI PRO v2 - Advanced Adaptive Heikin-Ashi RSI OscillatorThis script is a fully re-engineered and enhanced version of the original Heikin-Ashi RSI Oscillator created by JayRogers. While it preserves the foundational concept and visual structure of the original indicatorusing Heikin-Ashi-style candles to represent RSI movementit introduces a range of institutional-grade engines and real-time analytics modules. The core idea behind HARSI is to visualize the internal structure of RSI behavior using candle representations. This gives traders a clearer sense of trend continuity, exhaustion, and momentum inflection. In this upgraded version, the system is extended far beyond basic visualization into a comprehensive diagnostic and context-tracking tool. Core Enhancements and Features 1. Heikin-Ashi RSI Candles The base HARSI logic transforms RSI values into open, high, low, and close components, which are plotted as Heikin-Ashi-style candles. The open values are smoothed with a user-controlled bias setting, and the high/low are calculated from zero-centered RSI values. 2. Smoothed RSI Histogram and Plot A secondary RSI plot and histogram are available for traditional RSI interpretation, optionally smoothed using a custom midpoint EMA process. 3. Dynamic Stochastic RSI Ribbon The indicator optionally includes a smoothed Stochastic RSI ribbon with directional fill to highlight acceleration and reversal zones. 4. Real-Time Meta-State Engine This engine determines the current market environmentneutral, breakout, or reversalbased on multiple adaptive conditions including volatility compression, momentum thrust, volume behavior, and composite reversal scoring. 5. Adaptive Overbought/Oversold Zone Engine Instead of using fixed RSI thresholds, this engine dynamically adjusts OB/OS boundaries based on recent RSI range and normalized price volatility. This makes the OB/OS levels context-sensitive and more accurate across different instruments and regimes. 6. Composite Reversal Score Engine A real-time score between 0 and 5 is generated using four components: * OB/OS proximity (zone score) * RSI slope behavior * Volume state (burst or exhaustion) * Trend continuation penalty based on position versus trend bias This score allows for objective filtering of reversal zones and breakout traps. 7. Kalman Velocity Filter A Kalman-style adaptive smoothing filter is applied to RSI for calculating velocity and acceleration. This allows for real-time detection of stalls and thrusts in RSI behavior. 8. Predictive Breakout Estimator Uses ATR compression and RSI thrusting conditions to detect likely breakout environments. This logic contributes to the Meta-State Engine and the Breakout Risk dashboard metric. 9. Volume Acceleration Model Real-time detection of volume bursts and fades based on VWMA baselines. Volume exhaustion warnings are used to qualify or disqualify reversals and breakouts. 10. Trend Bias and Regime Detection Uses RSI slope, HARSI body impulse, and normalized ATR to classify the current trend state and directional bias. This forms the basis for filtering false reversals during strong trends. 11. Dashboard with Tooltips A clean, table displays six key metrics in real time: * Meta State * Reversal Score * Trend Bias * Volume State * Volatility Regime * Breakout Risk Each cell includes a descriptive tooltip explaining why the value is being shown based on internal state calculations. How It Works Internally * The system calculates a zero-centered RSI and builds candle structures using high, low, and smoothed open/close values. * Volatility normalization is used throughout the script, including ATR-based thresholds and dynamic scaling of OB/OS zones. * Momentum is filtered through smoothed slope calculations and HARSI body size measurements. * Volume activity is compared against VWMA using configurable multipliers to detect institutional-level activity or exhaustion. * Each regime detection module contributes to a centralized metaState classifier that determines whether the environment is conducive to reversal, breakout, or neutral action. * All major signal and context values are continuously updated in a dashboard table with logic-driven color coding and tooltips. Based On and Credits This script is based on the original Heikin-Ashi RSI Oscillator by JayRogers . All visual elements from the original version, including candle plotting and color configurations, have been retained and extended. Significant backend enhancements were added by AresIQ for the 2025 release. The script remains open-source under the original attribution license. Credit to JayRogers is preserved and required for any derivative versions.
Pine Script® göstergesi
AresIQ tarafından
5
GoatsGlowingRSIGoatsGlowingRSI is a visually enhanced and feature-rich RSI (Relative Strength Index) indicator designed for deeper market insight and clearer signal visualization. It combines standard RSI analysis with gradient-colored backgrounds, glowing effects, and automated divergence detection to help traders spot potential reversals and momentum shifts more effectively. Key Features: ✅ Multi-Timeframe RSI: Calculate RSI from any timeframe using the custom input. Leave it blank to use the current chart's timeframe. ✅ Dynamic Gradient Background: A smooth gradient fill is applied between RSI levels from the lower band (30) to the upper band (70). The gradient shifts from blue (oversold) to red (overbought), visually highlighting the RSI's position and strength. ✅ Glowing RSI Line: A three-layered glow effect surrounds the main RSI line, creating a striking white core with a purple aura that enhances visibility against dark or light chart themes. ✅ Custom RSI Levels: Dashed horizontal lines at RSI 70 (overbought), RSI 30 (oversold), and a dotted midline at 50 help you interpret trend momentum and strength. ✅ Automatic Divergence Detection: Built-in logic identifies bullish and bearish divergences by comparing RSI and price pivot points: 🟢 Bullish Divergence: RSI makes a higher low while price makes a lower low. 🔴 Bearish Divergence: RSI makes a lower high while price makes a higher high. Divergences are marked on the RSI line with colored lines and labels ("Bull"/"Bear"). ✅ Alerts Ready: Get notified in real-time with alert conditions for both bullish and bearish divergence setups.
Pine Script® göstergesi
goat-farm tarafından
2