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Bands and Channels

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.
Pine Script® indicator
by 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!
Pine Script® indicator
by 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.
Pine Script® indicator
by 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! 🚀**
Pine Script® indicator
by parthraj414
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
Pine Script® indicator
by 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.
Pine Script® indicator
by AGProLabs
9
RRG Sector Snapshot RRG Sector Snapshot · Clear UI — User Guide What this indicator does Purpose: Visualize sector rotation by comparing each sector’s Relative Strength (RS-Ratio) and RS-Momentum versus a benchmark (e.g., VNINDEX). Output: A quadrant map (table overlay) that positions each sector into one of four regimes: LEADING (top-right): Strong and accelerating — leadership zone. WEAKENING (bottom-right): Strong but decelerating — may be topping or consolidating. LAGGING (bottom-left): Weak and decelerating — avoid unless mean-reverting. IMPROVING (top-left): Weak but accelerating — candidates for next rotation into leadership. How it works (under the hood) X-axis (Strength): RS-Ratio = Sector Close / Benchmark Close, then normalized with a Z-Score over a lookback (normLen). Y-axis (Momentum): Linear-regression slope of RS-Ratio over rsLen, then normalized with a Z-Score (normLen). Mapping to grid: Both axes are Z-Scores scaled to a square grid (rrgSize × rrgSize) using a zoom factor (rrgScale). The center is neutral (0,0). Momentum increases upward (Y=0 is the top row in the table). Quick start (3 minutes) Add to chart: TradingView → Pine Editor → paste the script → Save → Add to chart. Set a benchmark: In inputs, choose Benchmark (X axis) — default INDEX:VNINDEX. Use VN30 or another index if it better reflects your universe. Load sectors: Fill S1..S10 with sector or index symbols you track (up to 10). Set Slots to Use to the number you actually use. Adjust view: rrgSize (grid cells): 18–24 is a good starting point. rrgScale (zoom): 2.5–3.5 typically; decrease to “zoom out” (points cluster near center), increase to “zoom in” (points spread to edges). Read the map: Prioritize sectors in LEADING; shortlist sectors in IMPROVING (could rotate into LEADING). WEAKENING often marks late-cycle strength; LAGGING is typically avoid. Inputs — what they do and how to change them General Analysis TF: Timeframe used to compute RRG (can be different from chart’s TF). Daily for swing, 1H/4H for tactical rotation, Weekly for macro view. Benchmark (X axis): The index used for RS baseline (e.g., INDEX:VNINDEX, INDEX:VN30, major ETFs, or a custom composite). RRG Calculation RS Lookback (rsLen): Bars used for slope of RS (momentum). Daily: 30–60 (default 40) Intraday (1H/4H): 20–40 Weekly: 26–52 Normalization Lookback (Z-Score) (normLen): Window for Z-Score on both axes. Daily: 80–120 (default 100) Intraday: 40–80 Weekly: 52–104 Tip: Shorter lookbacks = more responsive but noisier; longer = smoother but slower. RRG HUD (Table) Show RRG Snapshot (rrgEnable): Toggle the table on/off. Position (rrgPos): top_right | top_left | bottom_right | bottom_left. Grid Size (Cells) (rrgSize): Table dimensions (N×N). Larger = more resolution but takes more space. Z-Scale (Zoom) (rrgScale): Maps Z-Scores to the grid. Smaller (2.0–2.5): Zoom out (more points near center). Larger (3.5–4.0): Zoom in (emphasize outliers). Appearance Tag length (tagLen): Characters per sector tag. Use 4–6 for clarity. Text size (textSizeOp): Tiny | Small | Normal | Large. Use Large for presentation screens or dense lists. Axis thickness (axisThick): 1 = thin axis; 2 = thicker double-strip axis. Quadrant alpha (bgAlpha): Transparency of quadrant backgrounds. 80–90 makes text pop. Sectors (Max 10) Slots to Use (sectorSlots): How many sector slots are active (≤10). S1..S10: Each slot is a symbol (index, sector index, or ETF). Replace defaults to fit your market/universe. How to interpret the map Quadrants: Leading (top-right): Relative strength above average and improving — trend-follow candidates. Weakening (bottom-right): Still strong but momentum cooling — watch for distribution or pauses. Lagging (bottom-left): Underperforming and still losing momentum — avoid unless doing mean-reversion. Improving (top-left): Early recovery — candidates to transition into Leading if the move persists. Overlapping sectors in one cell: The indicator shows “TAG +n” where TAG is the first tag, +n is the number of additional sectors sharing that cell. If many overlap: Increase rrgSize, or Decrease rrgScale to zoom out, or Reduce Slots to Use to a smaller selection. Suggested workflows Daily swing Benchmark: VNINDEX or VN30 rsLen 40–60, normLen 100–120, rrgSize 18–24, rrgScale 2.5–3.5 Routine: Identify Leading sectors (top-right). Spot Improving sectors near the midline moving toward top-right. Confirm with price/volume/breakout on sector charts or top components. Intraday (1H/4H) tactical rsLen 20–40, normLen 60–100, rrgScale 2.0–3.0 Expect faster rotations and more noise; tighten filters with your own entry rules. Weekly (macro rotation) rsLen 26–52, normLen 52–104, rrgScale 3.0–4.0 Great for portfolio tilts and sector allocation. Tuning tips If everything clusters near center: Increase rrgScale (zoom in) or reduce normLen (more contrast). If points are too spread: Decrease rrgScale (zoom out) or increase normLen (smoother normalization). If the table is too big/small: Change rrgSize (cells). If tags are hard to read: Increase textSizeOp to Large, tagLen to 5–6, and consider bgAlpha ~80–85. Troubleshooting No table on chart: Ensure Show RRG Snapshot is enabled. Change Position to a different corner. Reduce Grid Size if the table exceeds the chart area. Many sectors “missing”: They’re likely overlapping in the same cell; the cell will show “TAG +n”. Increase rrgSize, decrease rrgScale, or reduce Slots to Use. Early bars show nothing: You need enough data for rsLen and normLen. Scroll back or reduce lookbacks temporarily. Best practices Use RRG for context and rotation scouting, then confirm with your execution tools (trend structure, breakouts, volume, risk metrics). Benchmark selection matters. If most of your watchlist tracks VN30, use INDEX:VN30 as the benchmark to get a truer relative read. Revisit settings per timeframe. Intraday needs more responsiveness (shorter lookbacks, smaller Z-Scale); weekly needs stability (longer lookbacks, larger Z-Scale). FAQ Can I use ETFs or custom indices as sectors? Yes. Any symbol supported by TradingView works. Can I track individual stocks instead of sectors? Yes (up to 10); just replace the S1..S10 symbols. Why Z-Score? It standardizes each axis to “how unusual” the value is versus its own history — more robust than raw ratios across different scales. [ i] How to Set Up (Your Market Template) This is the most important part for customizing the indicator to any market. Step 1: Choose Your TF & Benchmark Open the indicator's Settings. Analysis TF: Set the timeframe you want to analyze (e.g., D for medium-term, W for long-term). Benchmark (Trục X): This is the index you want to compare against. Vietnamese Market: Leave the default INDEX:VNINDEX. US Market: Change to SP:SPX or NASDAQ:NDX. Crypto Market: Change to TOTAL (entire market cap) or BTC.D (Bitcoin Dominance). Step 2: Input Your "Universe" (The 10 Slots) This is where you decide what to track. You have 10 slots (S1 to S10). For Vietnamese Sectors (Default): Leave the default sector codes like INDEX:VNFINLEAD (Finance), INDEX:VNREAL (Real Estate), INDEX:VNIND (Industry), etc. Template for Crypto "Sectors": S1: BTC.D S2: ETH.D S3: TOTAL2 (Altcoin Market Cap) S4: TOTAL.DEFI (DeFi) S5: CRYPTOCAP:GAME (GameFi) ...and so on. Template for Blue Chip Stocks: Benchmark: INDEX:VN30 S1: HOSE:FPT S2: HOSE:VCB S3: HOSE:HPG S4: HOSE:MWG ...and so on. Template for Commodities: Benchmark: TVC:DXY (US Dollar Index) S1: TVC:GOLD S2: TVC:USOIL S3: TVC:SILVER S4: COMEX:HG1! (Copper) ...and so on. Step 3: Fine-Tuning RS Lookback: A larger number (e.g., 100) gives a smoother, long-term view. A smaller number (e.g., 20) is more sensitive to short-term changes. Z-Scale (Zoom): This is the "magnification" of the map. If all your sectors are crowded in the middle, increase this number (e.g., 4.0) to "zoom in." If your sectors are stuck on the edges, decrease this number (e.g., 2.0) to "zoom out." Tag length: How many letters to display for the ticker (e.g., 4 will show VNFI).
Pine Script® indicator
by Thach999
SJ WaveTrendWaveTrend Indicator – Full English Brief for TradingView Description: The WaveTrend Oscillator (WT) is a momentum-based indicator originally developed by LazyBear, designed to identify overbought and oversold market conditions with high precision. It is conceptually similar to the RSI and Stochastic Oscillator but uses a wave-based mathematical approach to detect turning points in price action earlier and more smoothly. ⸻ 🔍 How It Works WaveTrend analyzes the difference between price and its moving average (typically the exponential moving average of the Typical Price). It then applies multiple layers of smoothing to filter out noise and produce two oscillating lines — WT1 (fast) and WT2 (slow). The crossing points between WT1 and WT2 are used to identify momentum shifts: • When WT1 crosses above WT2 from below the oversold zone → Bullish signal • When WT1 crosses below WT2 from above the overbought zone → Bearish signal ⸻ ⚙️ Core Formula Concept The WaveTrend calculation typically follows this process: 1. Compute the Typical Price (TP) = (High + Low + Close) / 3 2. Calculate the Exponential Moving Average (EMA) of TP over a short length 3. Determine the Raw Wave (ESA) and De-trended Price Oscillator (DPO) 4. Apply double smoothing to produce the final WT1 and WT2 values These smoothed waves behave like energy waves that expand and contract based on market volatility — hence the name WaveTrend. ⸻ 📈 Interpretation • Overbought Zone: WT values above +60 to +70 • Oversold Zone: WT values below -60 to -70 • Crossovers: WT1 crossing WT2 signals a potential trend reversal • Divergence: When price makes a new high/low but WT does not, it signals momentum weakening ⸻ 🧠 Trading Insights • Best used on higher timeframes (H1 and above) for trend confirmation, and on lower timeframes (M15–M30) for precise entries. • Combine with ADX, EMA Cloud, or Volume Filters to confirm real momentum shifts and avoid false signals. • You can highlight WT Diff (WT1 - WT2) to visualize momentum expansion and contraction; large positive or negative differences often precede strong reversals.
Pine Script® indicator
by samranj
Multi Pivot Trend [BigBeluga]🔵 OVERVIEW The Multi Pivot Trend is an advanced market-structure-driven trend engine that evaluates trend strength by scanning multiple pivot breakouts simultaneously. Instead of relying on a single swing length, it tracks breakouts across ten increasing pivot lengths — then averages their behavior to produce a smooth, reliable trend reading. Mitigation logic (close, wick, or HL2 touches) controls how breakouts are confirmed, giving traders institutional-style flexibility similar to BOS/CHoCH validation rules. This indicator not only colors candles based on trend strength, but also extends trend strength and volatility-scaled projection candles to show where trend pressure may expand next. Pivot breakout lines and labels mark key changes, making the trend transitions extremely clear. 🔵 CONCEPTS Market trend strength is reflected by multiple pivot breakouts, not just one. The indicator analyzes ten pivot structures from smaller to larger swings. Each bullish or bearish pivot breakout contributes to trend score. Mitigation options (close / wick / HL2) imitate smart-money breakout confirmation logic. Trend score is averaged and translated into colors and extension bars. Neutral regime ≈ weak trend or transition zone (trend compression). 🔵 FEATURES Multi-Pivot Engine — tracks 10 pivot-based trend signals simultaneously. Mitigation Modes : • Close — breakout requires candle close beyond pivot • Wicks — breakout requires wick violation • HL2 — breakout confirmed when average (H+L)/2 crosses level Dynamic Color System : • Blue → confirmed bullish rotation • Red → confirmed bearish rotation • Orange → neutral / transition state Breakout Visualization — draws pivot breakout lines in real-time. Trend Labels — prints trend %. Trend Volatility-Scaled Extension Candles — ATR/trend strength based candle projections show momentum continuation strength. Gradient Pivot Encoding — higher pivot lengths = deeper structure considered. 🔵 HOW TO USE Use strong blue/red periods to follow dominant structural trend. Watch for color transition into orange — possible trend change or consolidation. Pivot breakout lines help validate structure shifts without clutter. Wick mitigation catches aggressive liquidity-sweep based breaks. Close/HL2 mitigation catches cleaner market structure rotations. Extension bars visualize trend pressure — large extensions = strong push. Best paired with volume or volatility confirmation tools. 🔵 CONCLUSION The Multi Pivot Trend is a structural trend recognition system that blends multiple pivot breakouts into one clean trend score — with institutional-style mitigation logic and volatility-projected trend extensions. It gives traders a powerful, visually intuitive way to track momentum, spot trend rotations early, and understand true structural flow beyond simple MA-based approaches. Use it to stay aligned with the dominant swing direction while avoiding noise and false flips.
Pine Script® indicator
by BigBeluga
19
チャットGPTimport yfinance as yf import pandas as pd import requests from bs4 import BeautifulSoup # 株たんのスクリーニング結果URL（例：200日線以下） url = "https://kabutan.jp/warning/?mode=3_1" r = requests.get(url) soup = BeautifulSoup(r.text, "html.parser") # 銘柄コードと企業名を抽出 stocks = for link in soup.select("td a "): code = link .split('=') name = link.text.strip() if code.isdigit(): stocks.append({"code": code, "name": name}) results = for stock in stocks : # ←テスト用に10銘柄まで ticker = f"{stock }.T" df = yf.download(ticker, period="1y", interval="1d") # EMA200 df = df .ewm(span=200, adjust=False).mean() below_ema200 = df .iloc < df .iloc # 株たんの個別ページからPER・成長率を取得 stock_url = f"https://kabutan.jp/stock/?code={stock }" res = requests.get(stock_url) s = BeautifulSoup(res.text, "html.parser") try: per = s.find(text="PER").find_next("td").text growth = s.find(text="売上高増減率").find_next("td").text except: per, growth = "N/A", "N/A" results.append({ "銘柄コード": stock , "企業名": stock , "200EMA以下": below_ema200, "PER": per, "売上成長率": growth }) # 結果をCSV出力 df_result = pd.DataFrame(results) df_result.to_csv("割安EMA200以下銘柄.csv", index=False, encoding="utf-8-sig") print(df_result)
Pine Script® indicator
by toshi2103
Ripster Clouds (EMA + MTF)v6🧠 Purpose This indicator combines Ripster EMA Clouds and Multi-Timeframe (MTF) EMA Clouds into one script. It allows you to visualize short vs long exponential (or simple) moving averages as colored “clouds” to identify trend direction and momentum — across both your current timeframe and a higher timeframe (e.g., daily). ⚙️ Main Features 1. EMA Clouds (Local Timeframe) Up to 5 separate EMA/SMA cloud sets (8/9, 5/12, 34/50, 72/89, 180/200 by default). Each can be individually enabled/disabled in the settings. MA type toggle → Choose between EMA and SMA. Optional line display toggle for showing the short and long MA lines. Color-coded trend clouds: Greenish tones = bullish (short > long) Reddish tones = bearish (short < long) Configurable leading offset and global offset for alignment. 2. MTF Clouds (Higher Timeframe) Two sets of higher timeframe EMA clouds (default: 50/55 and 20/21). Uses request.security() to pull EMA data from a selected higher timeframe (default = Daily). Optional line visibility toggle (Display Lines). Blue and teal semi-transparent fills to distinguish from local clouds. Each MTF cloud can be toggled independently. 3. Unified Controls Master toggles: ✅ Show EMA Clouds ✅ Show MTF Clouds Transparent cloud fills with dynamically changing colors based on EMA crossovers and slope. No local-scope plot() or fill() calls — fully compliant with Pine v6 rules. 🎨 Color Logic Each EMA cloud uses a unique color pair (5 total). Cloud color changes dynamically based on whether the short EMA is above or below the long EMA. Line color changes with slope: Olive = EMA rising Maroon = EMA falling 📊 Technical Structure Written in Pine Script v6. All plot() and fill() calls are at global scope to prevent compilation errors. Uses helper functions only for math/color logic. Performance-optimized for TradingView’s rendering limits. 🧩 Quick Setup in TradingView Paste the script into the Pine Editor. Add to chart. In settings: Toggle on/off any EMA or MTF clouds. Adjust timeframe (Resolution), line visibility, or offsets. Choose EMA or SMA as the base calculation. ✅ Result You now have one unified, customizable Ripster EMA + MTF Cloud indicator, stable in Pine v6, with complete flexibility to toggle, style, and analyze multiple timeframe trends on a single chart.
Pine Script® indicator
by chandrashekar_thippani
Cora Combined Suite v1 [JopAlgo]Cora Combined Suite v1 (CCSV1) This is an 2 in 1 indicator (Overlay & Oscillator) the Cora Combined Suite v1 . CCSV1 combines a price-pane Overlay for structure/trend with a compact Oscillator for timing/pressure. It’s designed to be clear, beginner-friendly, and largely automatic: you pick a profile (Scalp / Intraday / Swing), choose whether to run as Overlay or Oscillator, and CCSV1 tunes itself in the background. What’s inside — at a glance 1) Overlay (price pane) CoRa Wave: a smooth trend line based on a compound-ratio WMA (CRWMA). Green when the slope rises (bull bias), Red when it falls (bear bias). Asymmetric ATR Cloud around the CoRa Wave Width expands more up when buyer pressure dominates and more down when seller pressure dominates. Fill is intentionally light, so candlesticks remain readable. Chop Guard (Range-Lock Gate) When the cloud stays very narrow versus ATR (classic “dead water”), pullback alerts are muted to avoid noise. Visuals don’t change—only the alerting logic goes quiet. Typical Overlay reads Trend: Follow the CoRa color; green favors long setups, red favors shorts. Value: Pullbacks into/through the cloud in trend direction are higher-quality than chasing breaks far outside it. Dominance: A visibly asymmetric cloud hints which side is funding the move (buyers vs sellers). 2) Oscillator (subpane or inline preview) Stretch-Z (columns): how far price is from the CoRa mean (mean-reversion context), clipped to ±clip. Near 0 = equilibrium; > +2 / < −2 = stretched/extended. Slope-Z (line): z-score of CoRa’s slope (momentum of the trend line). Crossing 0 upward = potential bullish impulse; downward = potential bearish impulse. VPO (stepline): a normalized Volume-Pressure read (positive = buyers funding, negative = sellers). Rendered as a clean stepline to emphasize state changes. Event Bands ±2 (subpane): thin reference lines to spot extension/exhaustion zones fast. Floor/Ceiling lines (optional): quiet boundaries so the panel doesn’t feel “bottomless.” Inline vs Subpane Inline (overlay): the oscillator auto-anchors and scales beneath price, so it never crushes the price scale. Subpane (raw): move to a new pane for the classic ±clip view (with ±2 bands). Recommended for systematic use. Why traders like it Two in one: Structure on the chart, timing in the panel—built to complement each other. Retail-first automation: Choose Scalp / Intraday / Swing and let CCSV1 auto-tune lengths, clips, and pressure windows. Robust statistics: On fast, spiky markets/timeframes, it prefers outlier-resistant math automatically for steadier signals. Optional HTF gate: You can require higher-timeframe agreement for oscillator alerts without changing visuals. Quick start (simple playbook) Run As Overlay for structure: assess trend direction, where value is (the cloud), and whether chop guard is active. Oscillator for timing: move to a subpane to see Stretch-Z, Slope-Z, VPO, and ±2 bands clearly. Profile Scalp (1–5m), Intraday (15–60m), or Swing (4H–1D). CCSV1 adjusts length/clip/pressure windows accordingly. Overlay entries Trade with CoRa color. Prefer pullbacks into/through the cloud (trend direction). If chop guard is active, wait; let the market “breathe” before engaging. Oscillator timing Look for Funded Flips: Slope-Z crossing 0 in the direction of VPO (i.e., momentum + funded pressure). Use ±2 bands to manage risk: stretched conditions can stall or revert—better to scale or wait for a clean reset. Optional HTF gate Enable to green-light only those oscillator alerts that align with your chosen higher timeframe. What each signal means (plain language) CoRa turns green/red (Overlay): trend bias shift on your chart. Cloud width tilts asymmetrically: one side (buyers/sellers) is dominating; extensions on that side are more likely. Stretch-Z near 0: fair value around CoRa; pullback timing zone. Stretch-Z > +2 / < −2: extended; watch for slowing momentum or scale decisions. Slope-Z cross up/down: new impulse starting; combine with VPO sign to avoid unfunded crosses. VPO positive/negative: net buying/selling pressure funding the move. Alerts included Overlay Pullback Long OK Pullback Short OK Oscillator Funded Flip Up / Funded Flip Down (Slope-Z crosses 0 with VPO agreement) Pullback Long Ready / Pullback Short Ready (near equilibrium with aligned momentum and pressure) Exhaustion Risk (Long/Short) (Stretch-Z beyond ±2 with weakening momentum or pressure) Tip: Keep chart alerts concise and use strategy rules (TP/SL/filters) in your trade plan. Best practices One glance workflow Read Overlay for direction + value. Use Oscillator for trigger + confirmation. Pairing Combine with S/R or your preferred execution framework (e.g., your JopAlgo setups). The suite is neutral: it won’t force trades; it highlights context and quality. Markets Works on crypto, indices, FX, and commodities. Where real volume is available, VPO is strongest; on synthetic volume, treat VPO as a soft filter. Timeframes Use the Profile preset closest to your style; feel free to fine-tune later. For multi-TF trading, enable the HTF gate on the oscillator alerts only. Inputs you’ll actually use (the rest can stay on Auto) Run As: Overlay or Oscillator. Profile: Scalp / Intraday / Swing. Oscillator Render: “Subpane (raw)” for a classic panel; “Inline (overlay)” only for a quick preview. HTF gate (optional): require higher-timeframe Slope-Z agreement for oscillator alerts. Everything else ships with sensible defaults and auto-logic. Limitations & tips Not a strategy: CCSV1 is a decision support tool; you still need your entry/exit rules and risk management. Non-repainting design: Signals finalize on bar close; intrabar graphics can adjust during the bar (Pine standard). Very flat sessions: If price and volume are extremely quiet, expect fewer alerts; that restraint is intentional. Who is this for? Beginners who want one clean overlay for structure and one simple oscillator for timing—without wrestling settings. Intermediates seeking a coherent trend/pressure framework with HTF confirmation. Advanced users who appreciate robust stats and clean engineering behind the visuals. Disclaimer: Educational purposes only. Not financial advice. Trading involves risk. Use at your own discretion.
Pine Script® indicator
by JopAlgo
Volume Sentiment Breakout Channels [AlgoAlpha]🟠 OVERVIEW This tool visualizes breakout zones based on volume sentiment within dynamic price channels . It identifies high-impact consolidation areas, quantifies buy/sell dominance inside those zones, and then displays real-time shifts in sentiment strength. When the market breaks above or below these sentiment-weighted channels, traders can interpret the event as a change in conviction, not just a technical breakout. 🟠 CONCEPTS The script builds on two layers of logic: Channel Detection : A volatility-based algorithm locates price compression areas using normalized highs and lows over a defined lookback. These “boxes” mark accumulation or distribution ranges. Volume Sentiment Profiling : Each channel is internally divided into small bins, where volume is aggregated and signed by candle direction. This produces a granular sentiment map showing which levels are dominated by buyers or sellers. When a breakout occurs, the script clears the previous box and forms a new one, letting traders visually track transitions between phases of control. The colored gradients and text updates continuously reflect the internal bias—green for net-buying, red for net-selling—so you can see conviction strength at a glance. 🟠 FEATURES Volume-weighted sentiment map inside each box, with gradient color intensity proportional to participation. Dynamic text display of current and overall sentiment within each channel. Real-time trail lines to show active bullish/bearish trend extensions after breakout. 🟠 USAGE Setup : Add the script to your chart and enable Strong Closes Only if you prefer cleaner breakouts. Use shorter normalization length (e.g., 50–80) for fast markets; longer (100–200) for smoother transitions. Read Signals : Transparent boxes mark active sentiment channels. Green gradients show buy-side dominance, red shows sell-side. The middle dashed line is the equilibrium of the channel. “▲” appears when price breaks upward, “▼” when it breaks downward. Understanding Sentiment : The sentiment profile can be used to show the probability of the price moving up or down at respective price levels.
Pine Script® indicator
by AlgoAlpha
27