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Previous Week Levels 2ENGLISH DESCRIPTION Previous Week Levels 2 - Multi-Level Weekly Analysis Indicator 📊 Overview This indicator displays previous week's OHLC (Open, High, Low, Close) levels along with additional important calculations: Mid Point: (High + Low) / 2 Open-Close Average: (Open + Close) / 2 🎯 Key Features Customizable Styles: Choose colors, line widths, and styles (Solid, Dashed, Dotted) for each level Flexible Week Start: Set week start day (Monday to Sunday) Extended Lines: Horizontal lines extend to the right for easy reference Clear Labels: Price labels positioned to the right of the chart Real-time Updates: Automatically updates when new week begins ⚙️ Input Parameters Level Customization: High, Low, Open, Close colors and styles Mid Point line customization Open-Close Average line customization Week Settings: Week Start Day (0=Sunday, 1=Monday, ..., 6=Saturday) 💡 Trading Applications Support/Resistance: Identify key weekly levels Breakout Trading: Monitor breaks above/below previous week's range Trend Analysis: Use midpoint and averages for trend direction Position Trading: Weekly levels for longer-term trades 📈 How to Use Add indicator to chart Customize colors and styles in settings Observe previous week's levels as potential S/R Watch for price reactions at these levels 🔧 Technical Details Works on all timeframes Automatically detects week changes Efficient line management Optimized for performance
Wskaźnik Pine Script®
od PipsPilot
Hurst Dual-Channel + ECDF Early Reentry (Single Trigger)Hello, This indicator can be useful during ranging market phases, especially on short timeframes such as 5 minutes, within a statistically contrarian approach. It combines two quantitative methodologies: – Hurst-type adaptive channels, which measure short- and medium-term price deviations using the ATR (Average True Range); – an Empirical Cumulative Distribution Function (ECDF), which locates the current price between its recent extremes (0 corresponding to the lower bound, 1 to the upper bound). The goal is to identify relative overbought and oversold zones, where the price exceeds the channels and then begins to revert toward its statistical mean. The indicator does not issue trading recommendations: it merely highlights specific statistical conditions for research and analytical purposes. The “BUY” and “SELL” labels indicate such technical configurations: – ECDF < 0.2 with price returning above the lower channels → bullish reentry. – ECDF > 0.9 with price returning below the upper channels → bearish reentry. The parameters (channel periods, ECDF window, smoothing) allow you to fine-tune the sensitivity of the analysis according to instrument volatility or chosen timeframe. 🟩 Buy Signal (BUY) A buy signal is triggered when a strong downside deviation pushes the price below both channels, followed by a gradual reentry inside the bands. More precisely: – The low is below both channels (low < scb and low < mcb). – The ECDF crosses back above 0.19 (exit from oversold). – Both events occur within the last six bars. – The price moves back above the lower channel (high > scb). – No previous long signal is active. This configuration represents a statistical reentry to the mean after an excessive drop. 🟥 Sell Signal (SELL) Conversely, a sell signal appears when a strong upside deviation pushes the price above both channels, followed by a pullback below them: – The high exceeds both channels (high > sct and high > mct). – The ECDF crosses below 0.9 (exit from overbought). – Both events occur within the last six bars. – The price falls back below the upper channel (low < sct). – No previous short signal is active. This reflects a bearish reentry following a statistical overextension. ⚙️ Operating Logic Each signal is triggered only once per cycle thanks to the variables triggered_long and triggered_short, preventing duplicates until a new extreme occurs. The tool is designed for visual analysis and pattern research, not for automated execution. 🔍 ECDF Principle and Calculation The ECDF is a non-parametric measure of a value’s position within its recent distribution: ECDF(X)=number of values ≤XNECDF(X) = \frac{\text{number of values } \le X}{N}ECDF(X)=Nnumber of values ≤X​ It expresses the empirical proportion of observations below the current value. Example: If, among the last 100 observations, 85 are below the current price, then ECDF=0.85ECDF = 0.85ECDF=0.85 → The price is at the 85th percentile, statistically high relative to recent history. Strengths: robust, model-free, well-suited to asymmetric or non-normal market regimes. Limitations: it does not measure amplitude and depends on the selected window size. 🌊 Intuitive Analogy: The River and the Gauge Imagine a river with a depth gauge: – The Z-Score tells you how many meters above the average level the water currently stands. – The ECDF tells you in how many past cases the water level was lower than it is now. The Z-Score assumes the river always follows the same symmetrical pattern. The ECDF simply observes reality — adapting naturally, even when the current becomes unpredictable. Final note: This indicator is designed for visual and statistical exploration of price behavior. The signals represent statistical states, not trade instructions. Entering long or short positions based on them is entirely at your own discretion and risk.
Wskaźnik Pine Script®
od Benallaa
2
Premium/Discount Zones with Confirmation Signals📌 Indicator Description: Premium/Discount Zones with Confirmed Signals This indicator identifies dynamic Premium, Discount, and Equilibrium zones based on recent swing highs and lows, helping traders visualize where price is considered expensive, cheap, or fair value. It’s designed for Smart Money Concepts (SMC), ICT-style trading, and anyone who values precision in zone-based analysis. 🔍 Key Features Swing-Based Zones: Automatically detects swing highs/lows over a customizable lookback period (default: 48 bars — equivalent to 2 days on a 1-hour chart). Premium & Discount Levels: Define overbought and oversold zones using percentage inputs (default: 25%). Equilibrium Band (middle): Highlights the no-trade value zone with adjustable width (default: 5%). Signal Engine: Generates trade signals based on two styles: Bounce: Reversal signals when price reacts to a zone and confirms direction. Breakout: Continuation signals when price breaks through a zone with momentum. Trade Type Selector: Choose between Bounce, Breakout, or Both from the input menu. Signal Filtering: Limits signals to one per direction at a time to reduce noise. Visual Styling: Toggle between colored or monochrome themes for clean charting. 🧠 How It Works Buy signals appear when price confirms strength from the discount zone or breaks above the premium zone. Sell signals appear when price confirms weakness from the premium zone or breaks below the discount zone. All signals include a built-in 3-bar confirmation delay to reduce false triggers. 🎯 Ideal For Traders using SMC, ICT, or price action strategies Zone-based scalping, swing trading, or intraday setups Visualizing market structure and value areas with clarity I hope you find this useful — and wish you Happy Trades!
Wskaźnik Pine Script®
od kostastrovas
COT Index v.2COT Index v.2 Indicator ( fix for extreme values) 📊 Overview The COT (Commitment of Traders) Index Indicator transforms raw COT data into normalized indices ranging from 0-100, with extensions to 120 and -20 for extreme market conditions. This powerful tool helps traders analyze institutional positioning and market sentiment by tracking the net long positions of three key market participant groups. 🎯 What It Does This indicator converts weekly CFTC Commitment of Traders data into easy-to-read oscillator format, showing: Commercial Index (Blue Line) - Smart money/hedgers positioning NonCommercial Index (Orange Line) - Large speculators/funds positioning Nonreportable Index (Red Line) - Small traders positioning 📈 Key Features Smart Scaling Algorithm 0-100 Range: Normal market conditions based on recent price action 120 Level: Extreme bullish positioning (above historical maximum) -20 Level: Extreme bearish positioning (below historical minimum) Dual Time Frame Analysis Short Period (26 weeks default): For current market scaling Historical Period (156 weeks default): For extreme condition detection Flexible Data Sources Futures Only reports Futures and Options combined reports Automatic symbol detection with manual overrides for HG and LBR 🔧 Customizable Settings Data Configuration Adjustable lookback periods for both current and historical analysis Report type selection (Futures vs Futures & Options) Display Options Toggle individual trader categories on/off Customizable reference lines (overbought/oversold levels) Optional 0/100 boundary lines Adjustable line widths and colors Reference Levels Upper Bound: 120 (extreme bullish) Overbought: 80 (default) Midline: 50 (neutral) Oversold: 20 (default) Lower Bound: -20 (extreme bearish) 💡 Trading Applications Contrarian Signals High Commercial Index + Low NonCommercial Index = Potential bullish reversal Low Commercial Index + High NonCommercial Index = Potential bearish reversal Market Sentiment Analysis Track institutional vs retail positioning divergences Identify extreme market conditions requiring attention Monitor smart money accumulation/distribution patterns Confirmation Tool Use alongside technical analysis for trade confirmation Validate breakouts with positioning data Assess market structure changes 📊 Visual Elements Status Table: Displays current settings and symbol information Color-Coded Lines: Easy identification of each trader category Reference Levels: Clear overbought/oversold boundaries Extreme Indicators: Visual cues for unusual market conditions ⚠️ Important Notes COT data is released weekly on Fridays (Tuesday data) Best suited for weekly and daily timeframes Requires symbols with available CFTC data Works automatically for most futures contracts 🎯 Best Practices Use in conjunction with price action analysis Look for divergences between price and positioning Pay special attention to extreme readings (120/-20 levels) Consider all three indices together for complete market picture Allow for data lag (3-day delay from CFTC) This indicator is ideal for swing traders, position traders, and anyone interested in understanding the positioning dynamics of professional vs retail market participants.
Wskaźnik Pine Script®
od dragos_cocos_dev
[Parth🇮🇳] Wall Street US30 Pro - Prop Firm Edition....Yo perfect! Here's the COMPLETE strategy in simple words: *** ## WALL STREET US30 TRADING STRATEGY - SIMPLE VERSION ### WHAT YOU'RE TRADING: US30 (Dow Jones Index) on 1-hour chart using a professional indicator with smart money concepts. --- ### WHEN TO TRADE: **6:30 PM - 10:00 PM IST every day** (London-NY overlap = highest volume) *** ### THE INDICATOR SHOWS YOU: A table in top-right corner with 5 things: 1. **Signal Strength** - How confident (need 70%+) 2. **RSI** - Momentum (need OK status) 3. **MACD** - Trend direction (need UP for buys, DOWN for sells) 4. **Volume** - Real or fake move (need HIGH) 5. **Trend** - Overall direction (need UP for buys, DOWN for sells) Plus **green arrows** (buy signals) and **red arrows** (sell signals). --- ### THE RULES: **When GREEN ▲ arrow appears:** - Wait for 1-hour candle to close (don't rush in) - Check the table: - Signal Strength 70%+ ? ✅ - Volume HIGH? ✅ - RSI okay? ✅ - MACD up? ✅ - Trend up? ✅ - If all yes = ENTER LONG (BUY) - Set stop loss 40-50 pips below entry - Set take profit 2x the risk (2:1 ratio) **When RED ▼ arrow appears:** - Wait for 1-hour candle to close (don't rush in) - Check the table: - Signal Strength 70%+ ? ✅ - Volume HIGH? ✅ - RSI okay? ✅ - MACD down? ✅ - Trend down? ✅ - If all yes = ENTER SHORT (SELL) - Set stop loss 40-50 pips above entry - Set take profit 2x the risk (2:1 ratio) *** ### REAL EXAMPLE: **7:45 PM IST - Green arrow appears** Table shows: - Signal Strength: 88% 🔥 - RSI: 55 OK - MACD: ▲ UP - Volume: 1.8x HIGH - Trend: 🟢 UP All checks pass ✅ **8:00 PM - Candle closes, signal confirmed** I check table again - still strong ✓ **I enter on prop firm:** - BUY 0.1 lot - Entry: 38,450 - Stop Loss: 38,400 (50 pips below) - Take Profit: 38,550 (100 pips above) - Risk: $50 - Reward: $100 - Ratio: 1:2 ✅ **9:30 PM - Price hits 38,550** - Take profit triggered ✓ - +$100 profit - Trade closes **Done for that signal!** *** ### YOUR DAILY ROUTINE: **6:30 PM IST** - Open TradingView + prop firm **6:30 PM - 10 PM IST** - Watch for signals **When signal fires** - Check table, enter if strong **10:00 PM IST** - Close all trades, done **Expected daily** - 1-3 signals, +$100-300 profit *** ### EXPECTED RESULTS: **Win Rate:** 65-75% (most trades win) **Signals per day:** 1-3 **Profit per trade:** $50-200 **Daily profit:** $100-300 **Monthly profit:** $2,000-6,000 **Monthly return:** 20-30% (on $10K account) --- ### WHAT MAKES THIS WORK: ✅ Uses 7+ professional filters (not just 1 indicator) ✅ Checks volume (real moves only) ✅ Filters overbought/oversold (avoids tops/bottoms) ✅ Aligns with 4-hour trend (higher timeframe) ✅ Only trades peak volume hours (6:30-10 PM IST) ✅ Uses support/resistance (institutional levels) ✅ Risk/reward 2:1 minimum (math works out) *** ### KEY DISCIPLINE RULES: **DO:** - ✅ Only trade 6:30-10 PM IST - ✅ Wait for candle to close - ✅ Check ALL 5 table items - ✅ Only take 70%+ strength signals - ✅ Always use stop loss - ✅ Always 2:1 reward ratio - ✅ Risk 1-2% per trade - ✅ Close all trades by 10 PM - ✅ Journal every trade - ✅ Follow the plan **DON'T:** - ❌ Trade outside 6:30-10 PM IST - ❌ Enter before candle closes - ❌ Take weak signals (below 70%) - ❌ Trade without stop loss - ❌ Move stop loss (lock in loss) - ❌ Hold overnight - ❌ Revenge trade after losses - ❌ Overleverge (more than 0.1 lot start) - ❌ Skip journaling - ❌ Deviate from plan *** ### THE 5-STEP ENTRY PROCESS: **Step 1:** Arrow appears on chart ➜ **Step 2:** Wait for candle to close ➜ **Step 3:** Check table (all 5 items) ➜ **Step 4:** If all good = go to prop firm ➜ **Step 5:** Enter trade with SL & TP Takes 30 seconds once you practice! *** ### MONEY MATH (Starting with $5,000): **If you take 20 signals per month:** - Win 15, Lose 5 (75% rate) - Wins: 15 × $100 = $1,500 - Losses: 5 × $50 = -$250 - Net: +$1,250/month = 25% return **Month 2:** $5,000 + $1,250 = $6,250 account **Month 3:** $6,250 + $1,562 = $7,812 account **Month 4:** $7,812 + $1,953 = $9,765 account **Month 5:** $9,765 + $2,441 = $12,206 account **Month 6:** $12,206 + $3,051 = $15,257 account **In 6 months = $10,000 account → $15,000+ (50% growth)** That's COMPOUNDING, baby! 💰 *** ### START TODAY: 1. Copy indicator code 2. Add to 1-hour US30 chart on TradingView 3. Wait until 6:30 PM IST tonight (or tomorrow if late) 4. Watch for signals 5. Follow the rules 6. Trade your prop firm **That's it! Simple as that!** *** ### FINAL WORDS: This isn't get-rich-quick. This is build-wealth-steadily. You follow the plan, take quality signals only, manage risk properly, you WILL make money. Not every trade wins, but the winners are bigger than losers (2:1 ratio). Most traders fail because they: - Trade too much (overtrading) - Don't follow their plan (emotions) - Risk too much per trade (blown account) - Chase signals (FOMO) - Don't journal (repeat mistakes) You avoid those 5 things = you'll be ahead of 95% of traders. **Start trading 6:30 PM IST. Let's go! 🚀**
Wskaźnik Pine Script®
od parthraj414
Square Lines Around customized font_RAMLAKSHMANDASSquare Lines Around customized font_RAMLAKSHMANDAS This indicator draws dynamic horizontal lines at all integer squares around the square root of the current close price, helping traders visualize price levels with mathematical significance. Each line is labeled, and the level font size can be customized interactively through a simple “Text Size (1-5)” input, making it easy to adapt for different chart sizes or visibility needs. Features: Plots horizontal lines at every perfect square (i.e., i 2 i 2 ) near the rounded square root of close price. Displays level values as labels, with user-adjustable font size (select 1 to 5, mapped to tiny up to huge). All lines and labels (levels) are automatically updated with each new candle. User controls for line color, line width, level range, and label font size. Fully compatible with all TradingView intervals and symbols. Usage: Helps spot mathematically relevant support/resistance zones for custom strategies. Useful for visual traders, quant experimenters, and anyone interested in market geometry. Best suited for intraday, positional or backtest analysis where precise price levels matter. Customizations: Range +/- around square root (choose how many lines you want). Line color and thickness for clarity. Select label font size: 1 (tiny), 2 (small), 3 (normal), 4 (large), 5 (huge). How to use: Add to your chart, tweak settings in the input panel, and see instant updates. Labels are sized to your preference for maximum visibility.
Wskaźnik Pine Script®
od Bull_Bear_Beast
Enhanced MA Crossover Pro📝 Strategy Summary: Enhanced MA Crossover Pro This strategy is an advanced, highly configurable moving average (MA) crossover system designed for algorithmic trading. It uses the crossover of two customizable MAs (a "Fast" MA 1 and a "Slow" MA 2) as its core entry signal, but aggressively integrates multiple technical filters, time controls, and dynamic position management to create a robust and comprehensive trading system. 💡 Core Logic Entry Signal: A bullish crossover (MA1 > MA2) generates a Long signal, and a bearish crossover (MA1 < MA2) generates a Short signal. Users can opt to use MA crossovers from a Higher Timeframe (HTF) for the entry signal. Confirmation/Filters: The basic MA cross signal is filtered by several optional indicators (see Filters section below) to ensure trades align with a broader trend or momentum context. Position Management: Trades are managed with a sophisticated system of Stop Loss, Take Profit, Trailing Stops, and Breakeven stops that can be fixed, ATR-based, or dynamically adjusted. Risk Management: Daily limits are enforced for maximum profit/loss and maximum trades per day. ⚙️ Key Features and Customization 1. Moving Averages Primary MAs (MA1 & MA2): Highly configurable lengths (default 8 & 20) and types: EMA, WMA, SMA, or SMMA/RMA. Higher Timeframe (HTF) MAs: Optional MAs calculated on a user-defined resolution (e.g., "60" for 1-hour) for use as an entry signal or as a trend confirmation filter. 2. Multi-Filter System The entry signal can be filtered by the following optional conditions: SMA Filter: Price must be above a 200-period SMA for long trades, and below it for short trades. VWAP Filter: Price must be above VWAP for long trades, and below it for short trades. RSI Filter: Long trades are blocked if RSI is overbought (default 70); short trades are blocked if RSI is oversold (default 30). MACD Filter: Requires the MACD Line to be above the Signal Line for long trades (and vice versa for short trades). HTF Confirmation: Requires the HTF MA1 to be above HTF MA2 for long entries (and vice versa). 3. Dynamic Stop and Target Management (S/L & T/P) The strategy provides extensive control over exits: Stop Loss Methods: Fixed: Fixed tick amount. ATR: Based on a multiple of the Average True Range (ATR). Capped ATR: ATR stop limited by a maximum fixed tick amount. Exit on Close Cross MA: Position is closed if the price crosses back over the chosen MA (MA1 or MA2). Breakeven Stop: A stop can be moved to the entry price once a trigger distance (fixed ticks or Adaptive Breakeven based on ATR%) is reached. Trailing Stop: Can be fixed or ATR-based, with an optional feature to auto-tighten the trailing multiplier after the breakeven condition is met. Profit Target: Can be a fixed tick amount or a dynamic target based on an ATR multiplier. 4. Time and Session Control Trading Session: Trades are only taken between defined Start/End Hours and Minutes (e.g., 9:30 to 16:00). Forced Close: All open positions are closed near the end of the session (e.g., 15:45). Trading Days: Allows specific days of the week to be enabled or disabled for trading. 5. Risk and Position Limits Daily Profit/Loss Limits: The strategy tracks daily realized and unrealized PnL in ticks and will close all positions and block new entries if the user-defined maximum profit or maximum loss is hit. Max Trades Per Day: Limits the number of executed trades in a single day. 🎨 Outputs and Alerts Plots: Plots the MA1, MA2, SMA, VWAP, and HTF MAs (if enabled) on the chart. Shapes: Plots visual markers (BUY/SELL labels) on the bar where the MA crossover occurs. Trailing Stop: Plots the dynamic trailing stop level when a position is open. Alerts: Generates JSON-formatted alerts for entry ({"action":"buy", "price":...}) and exit ({"action":"exit", "position":"long", "price":...}).
Strategia Pine Script®
od mcward302
Central Limit Theorem Reversion IndicatorDear TV community, let me introduce you to the first-ever Central Limit Theorem indicator on TradingView. The Central Limit Theorem is used in statistics and it can be quite useful in quant trading and understanding market behaviors. In short, the CLT states: "When you take repeated samples from any population and calculate their averages, those averages will form a normal (bell curve) distribution—no matter what the original data looks like." In this CLT indicator, I use statistical theory to identify high-probability mean reversion opportunities in the markets. It calculates statistical confidence bands and z-scores to identify when price movements deviate significantly from their expected distribution, signaling potential reversion opportunities with quantifiable probability levels. Mathematical Foundation The Central Limit Theorem (CLT) says that when you average many data points together, those averages will form a predictable bell-curve pattern, even if the original data is completely random and unpredictable (which often is in the markets). This works no matter what you're measuring, and it gets more reliable as you use more data points. Why using it for trading? Individual price movements seem random and chaotic, but when we look at the average of many price movements, we can actually predict how they should behave statistically. This lets us spot when prices have moved "too far" from what's normal—and those extreme moves tend to snap back (mean reversion). Key Formula: Z = (X̄ - μ) / (σ / √n) Where: - X̄ = Sample mean (average return over n periods) - μ = Population mean (long-term expected return) - σ = Population standard deviation (volatility) - n = Sample size - σ/√n = Standard error of the mean How I Apply CLT Step 1: Calculate Returns Measures how much price changed from one bar to the next (using logarithms for better statistical properties) Step 2: Average Recent Returns Takes the average of the last n returns (e.g., last 100 bars). This is your "sample mean." Step 3: Find What's "Normal" Looks at historical data to determine: a) What the typical average return should be (the long-term mean) and b) How volatile the market usually is (standard deviation) Step 4: Calculate Standard Error Determines how much sample averages naturally vary. Larger samples = smaller expected variation. Step 5: Calculate Z-Score Measures how unusual the current situation is. Step 6: Draw Confidence Bands Converts these statistical boundaries into actual price levels on your chart, showing where price is statistically expected to stay 95% and 99% of the time. Interpretation & Usage The Z-Score: The z-score tells you how statistically unusual the current price deviation is: |Z| < 1.0 → Normal behavior, no action |Z| = 1.0 to 1.96 → Moderate deviation, watch closely |Z| = 1.96 to 2.58 → Significant deviation (95%+), consider entry |Z| > 2.58 → Extreme deviation (99%+), high probability setup The Confidence Bands - Upper Red Bands: 95% and 99% overbought zones → Expect mean reversion downward as the price is not likely to cross these lines. - Center Gray Line: Statistical expectation (fair value) - Lower Blue Bands: 95% and 99% oversold zones → Expect mean reversion upward Trading Logic: - When price exceeds the upper 95% band (z-score > +1.96), there's only a 5% probability this is random noise → Strong sell/short signal - When price falls below the lower 95% band (z-score < -1.96), there's a 95% statistical expectation of upward reversion → Strong buy/long signal Background Gradient The background color provides real-time visual feedback: - Blue shades: Oversold conditions, expect upward reversion - Red shades: Overbought conditions, expect downward reversion - Intensity: Darker colors indicate stronger statistical significance Trading Strategy Examples Hypothetically, this is how the indicator could be used: - Long: Z-score < -1.96 (below 95% confidence band) - Short: Z-score > +1.96 (above 95% confidence band) - Take profit when price returns to center line (Z ≈ 0) Input Parameters Sample Size (n) - Default: 100 Lookback Period (m) - Default: 100 You can also create alerts based on the indicator. Final notes: - The indicator uses logarithmic returns for better statistical properties - Converts statistical bands back to price space for practical use - Adaptive volatility: Bands automatically widen in high volatility, narrow in low volatility - No repainting: yay! All calculations use historical data only Feedback is more than welcome! Henri
Wskaźnik Pine Script®
od HenriqueCentieiro
2
AG Pro Dynamic ChannelsAG Pro Dynamic Channels V2 Discover a new lens through which to view market structure with the AG Pro Dynamic Channels V2. This advanced indicator moves beyond simple trendlines, automatically identifying, classifying, and drawing eight distinct types of support and resistance channels directly on your chart. Built on a sophisticated pivot-point detection engine, this script intelligently distinguishes between Major and Minor price structures, as well as Internal and External channels. This provides a comprehensive and multi-dimensional map of the market's flow, helping you identify trend continuations, corrections, and potential reversals. The indicator is complete with a powerful, fully customizable alert system designed to notify you of the two most critical events: channel breakouts and price reactions. Key Features Fully Automatic Channels: The script automatically analyzes price action to find pivot highs and lows, using them to construct relevant channels without any manual drawing required. 8-Channel Classification: Gain deep market insight by viewing eight distinct channel types: Major External (Up/Down) Major Internal (Up/Down) Minor External (Up/Down) Minor Internal (Up/Down) Advanced Pivot Engine: The core logic classifies pivots into categories like Higher Highs (MHH/mHH), Lower Lows (MLL/mLL), Higher Lows (MHL/mHL), and Lower Highs (MLH/mLH) to determine the precise start and end points for each channel. Deep Customization: Take full control of your chart's appearance. You can individually toggle the visibility, color, line style (solid, dashed, dotted), and line width for all eight channel types. Chart Clarity: A "Delete Previous" option is available for each channel type, allowing you to keep your chart clean and focused on only the most current and relevant market structures. Comprehensive Alert System Never miss a key price interaction. The AG Pro Dynamic Channels V2 features a robust, built-in alert module. Dual-Alert Conditions: Get notifications for two distinct events: Break Alert: Triggers when price confirms a close outside of a channel, signaling a potential breakout. React Alert: Triggers when price touches or interacts with a channel line before closing back inside, signaling a test or rejection. 16 Unique Alerts: You have full control to enable or disable "Break" and "React" alerts for all 8 channel types individually, giving you 16 unique alert conditions to monitor. Professional Alert Messages: The embedded alert sender provides detailed messages that include the asset, timeframe, and the specific event, such as "Break Major External Up Channel" or "React Minor Internal Down Channel". Alert Configuration: Easily set your global Alert Name, Message Frequency (e.g., Once Per Bar, Once Per Bar Close), and Alert Time Zone from the script's settings. How to Use Trend Identification: Use the Major External Channels (drawn from MHH and MLL pivots) to identify the primary, long-term trend direction. Pullback & Entry Zones: Use the Internal Channels (drawn from MHL and MLH pivots) to spot corrections and potential entry zones within an established trend. Breakout Trading: Set Break Alerts on Major channels to be notified of significant, structure-shifting moves. Short-Term & Counter-Trend: Utilize the Minor Channels to identify shorter-term price swings and potential reversal points.
Wskaźnik Pine Script®
od AGProLabs
9
McGinley River Pro (Luis Casal)McGinley River Pro is a volatility-adaptive trend indicator designed to help traders identify market transitions between contraction and expansion phases. The indicator is built around the McGinley Dynamic line, surrounded by adaptive upper and lower bands forming a “river” that represents market noise. When price remains inside the river, conditions are typically range-bound or consolidating. When price breaks outside, it often signals the beginning of a strong directional trend. A special Squeeze Detection System highlights periods of decreasing volatility — when the river narrows — marking potential setups before expansion moves. Features: • Adaptive McGinley Dynamic smoothing • Volatility-based upper & lower river bands • Visual trend coloring and bar painting • Squeeze marker for early range compression detection • Alerts for trend shifts and river breakouts Use McGinley River Pro to spot quiet periods before volatility returns and to confirm the strength of developing trends. Works on all assets and timeframes.
Wskaźnik Pine Script®
od lcasalpty
Inside Bar ExplosionCategory: Price Action, Volatility Compression, Breakout Detection 🔍 Overview This indicator detects multi-bar inside candle compressions (“inside bar coils”) and marks powerful breakout moments that follow. It highlights when volatility contracts inside a large “mother candle” and then suddenly explodes with a bullish or bearish breakout backed by volume confirmation. ⚙️ How It Works Mother Candle: Detected when a large candle (range > defined %) appears with above-average volume. Compression Phase: Consecutive candles stay completely within the range of that mother candle. The longer the compression, the tighter the coiling pattern. Explosion Candle: A candle breaks above or below the compression range, Has a large range and a volume spike, confirming breakout direction. 💡 Visual Cues 🟨 Yellow Highlight: Mother Candle 🔵 Blue Zone: Compression (Inside Bar Cluster) 🟢 Green Background: Bullish Explosion 🔴 Red Background: Bearish Explosion 🚀 Label: Bull breakout with days in compression 💥 Label: Bear breakdown with days in compression ⚡ START: Marks final compression candle before breakout 📊 Table (Top Right): Live compression stats (days, range %, volume ratio) 🧠 Parameters Setting Description Minimum Inside Bars Minimum candles inside the mother candle to qualify as compression. Maximum Inside Bars Limit to prevent invalid long compressions. Mother Candle Min Size (%) Defines how large a candle must be to be considered a mother candle. Explosion Candle Min Size (%) Minimum % range for valid breakout candles. Volume Spike Multiplier Required volume increase vs. average for breakout validation. Show Labels / Box Toggle visual elements on/off for clarity. 🚨 Alerts ⚡ Compression Start: New coiling phase detected. 🚀 Bull Explosion: Bullish breakout with volume confirmation. 💥 Bear Explosion: Bearish breakdown with volume confirmation. 📈 Use Cases Identify volatility squeezes before major breakouts. Detect range-bound periods leading to trend initiation. Combine with moving averages or RSI for higher confidence setups. ⚠️ Notes Works best on daily or 4-hour charts. Works for stocks, crypto, forex, or indices. Does not repaint — signals are confirmed on bar close.
Wskaźnik Pine Script®
od nithinshenoy7
Hourly High Volume DetectorType: Multi-Timeframe Volume Spike Scanner This script detects high-volume hourly candles inside each daily bar to highlight potential institutional activity or hidden accumulation days. It automatically scans the last N days (configurable lookback) and plots a purple dot below daily candles where at least one hourly candle shows: Volume significantly higher than the hourly average (Volume Multiplier × Avg Hourly Volume) Positive price movement exceeding the minimum % threshold 🧠 Trend Filter A built-in 5-day trend check ensures signals are shown only during non-downtrending phases, filtering out noise when the broader trend is weak. ⚙️ Parameters Lookback Days: How many recent daily bars to scan. Volume Multiplier: Defines what counts as a high-volume spike. Min Price Change %: Minimum % gain within the hourly candle to qualify. Debug Mode: Enables small green/orange markers for internal logic visualization. 🟣 Signals Purple Dot (Below Candle): Strong hourly accumulation signal within the day. (Debug) Green Dot: Hourly condition passed. (Debug) Orange Triangle: Signal suppressed due to downtrend filter. ⚠️ Notes Must be used on the Daily timeframe (will warn if not). Ideal for spotting smart money accumulation, pre-breakout setups, or volume-price anomalies hidden in intraday structure.
Wskaźnik Pine Script®
od nithinshenoy7
Rolling Pivot RibbonRolling Pivot Ribbon This indicator displays historical and developing pivot levels across multiple days, creating a dynamic "ribbon" effect as pivots roll forward through time. DESIGNED FOR: Intraday timeframes (≤1D). Shows warning on higher timeframes. USE CASE: Identify key support/resistance levels, track pivot evolution, and spot price interaction zones with enhanced visual clarity. WHY? There comes a time in every Pinescript developer's evolution, they feel compelled to write a script that draws many lines, possibly triangles, into the future. This is mine. It's both totally useless, and a constant source of comfort to me. KEY FEATURES: • Multiple pivot calculation methods (Classic, Camarilla) • Historical pivot tracking with configurable lookback period (default 4 days) • Real-time "developing" pivots that update intraday based on current day's HLC • Gradient fills between adjacent pivot levels for visual depth • 13 pivot levels: PP, R1-R6, S1-S6 TASTY MODE (Advanced): • Intelligent filtering: only shows lines that price has recently intersected • Dynamic transparency: opacity adjusts based on intersection frequency • Auto-cleanup: removes stale lines that haven't been touched in X days • Smart extensions: lines that see more action project further into the future • Focus mode options to reduce chart clutter VISUAL CONTROLS: • Toggle individual pivot levels on/off • Customizable colors and transparency for lines and fills • Flexible label positioning (left-align or right-align) • Adjustable projection length for pivot lines (defaults to 1. Set to 0 for just a ribbon)
Wskaźnik Pine Script®
od chodberry
NSR Dynamic Channel - HTF + ReversionNSR Dynamic Channel – HTF Volatility + Reversion (Beginner-friendly, pro-grade, non-repainting) The NSR Dynamic Channel builds an adaptive volatility envelope that compares current price action to a statistically-derived “expected” range pulled from a user-selected higher timeframe (HTF). Is this just another keltner variation? In short: Keltner reacts. NSR anticipates. Keltner says “price moved a lot.” NSR says “this move is abnormal compared to the last 2 days on a higher timeframe — and here’s the probability it snaps back.” The channel is not a simple multiple of recent ATR or standard deviation; instead it: Samples HTF volatility over a rolling window (default: last 2 days on the chosen HTF). Expected Range HTF Volatility Spread = StDev of 1-bar ATR on the HTF Scales this HTF range to the current chart’s volatility using a compression ratio : compRatio = SMA(High-Low over lookback) / Expected Range This makes the channel tighten in low-vol regimes and widen in high-vol regimes . Centers the channel on a composite mean ( AVGMEAN ) calculated from: Smoothed Adaptive Averages of the current timeframe close SMA of close over the user-defined lookback ( Slow ) The three means are averaged to reduce lag and noise. Draws two layers : HTF Expected Channel (gray fill) = PAMEAN ± expectedD Dynamic Expected Band (inner gray) = HTF Expected Range Adds a fast 2σ envelope around AVGMEAN using the standard deviation of close over the lookback period. Core Calculations (Conceptual Overview) HTF Baseline → ATR on user HTF → SMA & StDev over a defined number of days Compression Ratio → Normalizes current range to HTF “normal” volatility Expected Band Width → Expected Range × CompressionRatio Bias Detection → % change of composite mean over 2 bars → “bullish” / “bearish” filter Overextension % → Position of price within the expected band (0–100%) How to Use It (3 Steps) Apply to any chart – defaults work on futures (NQ/ES), stocks (SPY), crypto (BTC), forex, etc. Price is outside both the fast 2σ envelope and the HTF-scaled expected band Expect some sort of reversion Enable alerts – two built-in conditions: NSR Exit Long – bullish bias + high crosses upper expected edge NSR Exit Short – bearish bias + low crosses lower expected edge Optional toggles : Show 2σ Price Range → fast overextension lines Expected Channel → HTF-based gray fill Mean → MEAN centerline Why It Works Context-aware : Uses HTF “normal” volatility as anchor Adaptive : Shrinks in consolidation, expands in breakouts Filtered signals : Only triggers when both statistical layers agree Non-repainting : All calculations use confirmed bars Happy trading! nsrgroup
Wskaźnik Pine Script®
od nsrgroup