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Stochastique Divergences IndicatorHello, I made a custom indicator. Divergences with stochastique and price are really strong signals. About the indicator A bullish divergence happens when the stoch K makes a higher low and is depicted by a green triangle up. A bearish divergence happens when the stoch K makes a lower high and is depicted by a red triangle down. This script is the base for my next strategy that I should upload soon. I will grant access (to this script and my others) to people willing to make a small donation. Here is my BTC address : 19sVQvCDmVfEACq7BiMnWSMqFPZ8qfSQ2K If you prefer ETH : 0xc8a5d3a63a05db0c2363ea1c08b37a01cce9ebfb Send me a Private Message with the ID of the transaction If you want to do some forward testing first, send me a message. Also check blockchainfiesta.com
Pine Script®指标
由cyatophilum提供
2
CMYK VRMI◊ Introduction This script indicates the relative movement of price x volume. ◊ Origin Based on 'The Relative Momentum Index' by Roger Altman : February, 1993 issue of Technical Analysis of Stocks & Commodities magazine. While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago. This results in an RSI that is smoother. The input has been changed to the change of a smoothed close multiplied by a smoothed volume. The polarity of VRMI indicates bearish/bullish movement. ◊ Adjustments CMYK color theme applied. ◊ Usage VRMI indicates the force the market moves with. ◊ Future Prospects - ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊
Pine Script®指标
由MVPMC提供
CMYK VRMI RAYS ◊ Introduction Introducing VRMI in this script, an RMI based on price movement and volume, to indicate bullish and bearish trends. This script marks the background depending on RMI <> VRMI , VRMI polarity and large buy/sell sprees. ◊ Origin Based on 'The Relative Momentum Index' by Roger Altman : February, 1993 issue of Technical Analysis of Stocks & Commodities magazine. While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago. This results in an RSI that is smoother. In addition VRMI reacts quick, it is used to cut off latency from RMI, and it's polarity indicates the beginning and end of a trend. Large buy sell sprees and detected in their proportion with an sma on the volume ◊ Adjustments CMYK color theme applied. ◊ Usage This indicator can be used to detect trends and mark reversals. ◊ Prospects ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊
Pine Script®指标
由MVPMC提供
Bears VS BullsThis indicator will work on ANY instrument. The red line is a moving average of ONLY sellers in the market. The blue line is a moving average of ONLY buyers in the market. The period or "length" of the individual moving averages can be adjusted in the indicator settings. The default, it is set to 50. Buying and selling trends often provide indications of market moves such as the most recent bottom in Cryptocurrencies. Feel free to comment and share any indicator concepts or ideas for content you would like to see added to the Technical Indicator Bundle on www.kenzing.com
Pine Script®指标
由GrantPeace提供
14
bearish Price Below PDL - Complete Multi-Confirmation Alert🎯 KEY IMPROVEMENTS: 1. Enhanced Alert Visibility:$jmoskyhigh ✅ HUGE triangle down marker with "SELL" text ✅ Alert title: "SELL SIGNAL - PDL BREAKDOWN CONFIRMED" ✅ Prominent info panel with red theme ✅ Clear "SELL ALERT: TRIGGERED" status 2. Better Visual Feedback: Red frame around info panel Larger shapes and markers Color-coded confirmations (green = OK, red = FAIL) Progress percentage displayed Breakdown price label 3. Complete Alert System: Main Alert: "SELL SIGNAL - PDL BREAKDOWN CONFIRMED" Early Warning: "PDL Breakdown Started - Monitoring" Reset Alert: "Confirmation Lost - Breakdown Reset"
Pine Script®指标
由jmslimus提供
Bearish signal using Point of Control (POC) with PAC by guruThis indicator code helps traders identify potential sell opportunities using several important technical indicators: Point of Control (POC) – This is the price level where the most volume was traded over the past several days. Previous Day's Low – This shows the lowest price reached during the previous day. PAC (Price Action Channel) EMA – These are two moving averages (one based on the low price and one based on the close price) that help determine if the price is trending within a certain range. Volume SMA – This is a 3-day simple moving average (SMA) of volume, which helps filter out signals based on market activity. What the Script Does: Point of Control (POC): The script looks at the last 50 days (configurable) and calculates which price level had the highest trading volume. It then plots a red line on the chart at the POC level. This is important because it helps identify areas where there was strong market interest in the past. Volume Moving Average: The script calculates a 3-day SMA of volume, but it excludes the current day to avoid premature signals based on today’s trading. The volume SMA is used to ensure there’s enough market activity (with a threshold set to 25 units) before triggering a sell signal. Price Action Channel (PAC) EMA: The PAC consists of two exponential moving averages (EMAs): The PAC Low EMA: This is based on the low prices over the last 34 periods (configurable). The PAC Close EMA: This is based on the closing prices over the last 34 periods. These EMAs help determine if the price is trending above or below certain price levels. Sell Signal Logic: The script checks three conditions before displaying a "Sell" signal: Price Below POC and Previous Day’s Low: The close price must be below both the Point of Control (POC) and the previous day's low. Volume SMA Above 25: The 3-day volume SMA must be greater than 25. This ensures the signal only triggers when there’s enough trading volume in the market. Today’s Low is Above PAC EMAs: Today's low price must be above both the PAC low EMA and the PAC close EMA. This prevents sell signals when prices are already significantly below the PAC, indicating possible exhaustion in the downtrend. If all three conditions are met, the script will display a red "Sell" label on the chart, signaling a potential selling opportunity. No Sell Signal if Price Reverses: If the price crosses back above the POC or the previous day's low, the script will remove the sell signal and reset for a new opportunity. Summary of Conditions: For the script to display a "Sell" label: The close price must be below the Point of Control (POC) and the previous day’s low. The 3-day volume SMA (excluding today) must be greater than 25 units. The low price of the current day must be above both the PAC low EMA and the PAC close EMA. If these conditions are met, a red sell label appears on the chart as a potential signal for a short (sell) trade.
Pine Script®指标
由Guru7208提供
9
Game Theory EMA Strategy - High Accuracy# Game Theory EMA Strategy - High Accuracy Trend Following ## Overview This strategy combines the proven reliability of EMA crossover signals with advanced game theory validation to achieve high-accuracy trend following. By integrating Expected Utility calculations, Nash Equilibrium detection, and Replicator Dynamics, the strategy filters out low-probability setups and only trades when mathematical edge is confirmed. ## Core Strategy: EMA Crossover System The foundation is a classic triple EMA system, one of the most reliable trend-following approaches: **EMA Configuration:** - **Fast EMA (9)**: Quick response to price changes - **Slow EMA (21)**: Confirmation trend line - **Trend Filter EMA (50)**: Major trend direction **Entry Rules:** - **LONG**: Fast EMA crosses above Slow EMA while price is above Trend EMA - **SHORT**: Fast EMA crosses below Slow EMA while price is below Trend EMA This ensures trades are only taken in the direction of the primary trend, significantly improving win rate. ## Game Theory Enhancements ### 1. Expected Utility Theory Calculates the mathematical advantage for buyers vs sellers: **Buyer Expected Utility (EU_Buyer):** - Based on RSI momentum and volume probability - Weighted by market volatility - Favors bullish entries when RSI shows strength without being overbought **Seller Expected Utility (EU_Seller):** - Mirror calculation for bearish setups - Identifies when sellers have mathematical edge - Filters bearish entries for optimal timing The strategy only enters trades when one side has clear utility advantage over the other. ### 2. Nash Equilibrium Detection Identifies market states where buyers and sellers are in balance (equilibrium): - When utilities are within 20% of each other, market is "fair game" - Nash equilibrium zones are avoided (yellow background) - Prevents trading during choppy, directionless markets - Ensures capital is only deployed when edge exists **Mathematical Basis:** A Nash equilibrium exists when no participant can improve their outcome by changing strategy. In trading terms, this means neither bulls nor bears have an advantage - avoid trading here. ### 3. Replicator Dynamics Models evolutionary strategy dominance: - Tracks which strategy (bullish/bearish) is "winning" over recent periods - Calculates the proportion of up bars vs down bars - Confirms that the dominant strategy aligns with entry direction - Based on evolutionary game theory - successful strategies replicate ## Additional High-Accuracy Filters ### ADX Trend Strength Filter - ADX (Average Directional Index) measures trend strength - Default threshold: 25 (strong trend required) - Prevents entries during weak, ranging markets - Can be toggled on/off ### Volume Confirmation - Requires volume 20% above average - Confirms institutional participation - Filters weak signals with low conviction - Optional filter (can be disabled) ### Risk Management - **ATR-Based Stops**: Dynamic stop loss adapts to volatility (1.5 × ATR) - **Risk:Reward Ratio**: 2:1 default (3 ATR target vs 1.5 ATR stop) - **Trend Exit**: Closes on opposite EMA crossover - **Equilibrium Exit**: Closes when market enters Nash equilibrium ## Visual Elements **Chart Overlays:** - **Blue Line**: Fast EMA (9) - Entry signal generator - **Red Line**: Slow EMA (21) - Confirmation line - **Orange Line**: Trend Filter EMA (50) - Major trend - **Green/Red Background**: Trend direction indicator - **Yellow Background**: Nash Equilibrium zones (no-trade areas) - **Green/Red Lines**: Active stop loss and take profit levels **Entry Signals:** - **Green Triangle Up**: Long entry signal with all confirmations - **Red Triangle Down**: Short entry signal with all confirmations **Lower Pane Indicators:** - **Utility Advantage**: Green when buyers have edge, red when sellers have edge - **Bull Dominance**: Shows evolutionary strategy strength **Info Table (Top Right):** - Current position status - Trend direction - ADX value (trend strength) - Expected Utility for buyers and sellers - Nash Equilibrium status - Performance metrics (total trades, win rate) ## Parameters ### EMA Settings - **Fast EMA (9)**: Responsive entry signal line - **Slow EMA (21)**: Trend confirmation - **Trend Filter EMA (50)**: Major trend direction ### Game Theory Settings - **Game Theory Period (14)**: Lookback for utility calculations - **Nash Equilibrium Filter**: Toggle equilibrium avoidance - **Utility Confirmation**: Require mathematical edge for entries ### Risk Management - **Risk:Reward Ratio (2.0)**: Target profit vs stop loss - **ATR Period (14)**: Volatility measurement period - **ATR Stop Multiplier (1.5)**: Stop distance in ATR units ### Filters - **Use ADX Filter**: Require strong trend (ADX > threshold) - **ADX Threshold (25)**: Minimum trend strength - **Volume Filter**: Require volume spike for entries ## How to Use ### Recommended Markets and Timeframes **Cryptocurrency (BTC, ETH):** - Timeframe: 4H or Daily - Use all filters enabled - Expected win rate: 65-75% **Stocks (AAPL, TSLA, SPY):** - Timeframe: Daily - Use all filters enabled - Can disable volume filter for low-volume stocks **Forex (EUR/USD, GBP/USD):** - Timeframe: 1H or 4H - Reduce ATR multiplier to 1.0 - Keep all filters enabled ### Strategy Workflow 1. **Wait for EMA Crossover**: Fast crosses Slow in trend direction 2. **Confirm Trend**: Price must be on correct side of Trend EMA 3. **Check Filters**: ADX strong, volume elevated, not in equilibrium 4. **Validate Game Theory**: Expected utility must favor direction 5. **Enter Trade**: All conditions met = high-probability setup 6. **Manage Risk**: ATR-based stop and target automatically set 7. **Exit**: Either hit target, stop, or opposite crossover ### Optimization Tips **For Higher Win Rate (Lower Frequency):** - Increase ADX threshold to 30 - Increase ATR stop multiplier to 2.0 - Keep all filters enabled **For More Trades (Lower Win Rate):** - Decrease ADX threshold to 20 - Disable volume filter - Disable utility filter **For Different Markets:** - Adjust EMA periods (faster for intraday, slower for swing) - Modify ATR multiplier based on volatility - Test risk:reward ratios from 1.5:1 to 3:1 ## Strategy Statistics **Expected Performance (with all filters):** - Win Rate: 60-75% - Risk:Reward: 1:2 - Profit Factor: 1.5-2.5 - Max Drawdown: 10-20% - Trade Frequency: 5-15 trades per month (daily timeframe) **Key Advantages:** - Trend-following avoids counter-trend losses - Multiple confirmations reduce false signals - Game theory filters ensure mathematical edge - Dynamic stops adapt to market volatility - 2:1 R/R means only 40% win rate needed for profit ## Game Theory Mathematical Foundation ### Expected Utility Formula
Pine Script®策略
由uzair2join提供
VSA with Absorption Proxy for Holmes and Bookmap StyleVSA + Absorption Proxy – Holmes / Bookmap Style (No Delta Data Required) This open-source strategy is a simplified, VSA (Volume Spread Analysis) inspired scalper that approximates **absorption** and **rejection** patterns commonly observed in professional order-flow tools (Bookmap, Holmes, Jigsaw, etc.) — using only standard OHLCV data. Core Concept & Why This Proxy? In VSA and order-flow trading, **absorption** occurs when aggressive selling is met with strong buying support (high volume + wide spread + reversal up), often signaling exhaustion of sellers and potential reversal/continuation up. **Rejection** is the mirror: aggressive buying met with strong selling (high volume + wide spread + reversal down). Because true bid/ask delta is not available in standard Pine Script, this script uses a directional volume proxy: - delta ≈ volume × (close - open) / (high - low) - Combined with wide spread (vs ATR) + high volume (vs SMA) + delta flip This creates a reasonable proxy for spotting climactic volume bars where one side gets absorbed/rejected. Entry & Exit Logic Long (Absorption Bull): - High volume bar (volume > SMA(volume,20) × multiplier) - Wide spread (range > ATR(14) × multiplier) - Bullish candle (close > open) - Delta turns positive after being negative previous bar Short (Rejection Bear): mirror logic (bearish candle + delta turns negative) Risk Management (fixed %): - Stop Loss: entry low/high adjusted by riskPct (default 1%) - Take Profit: risk × rrTarget (default 3.5:1) Visuals - Green background + triangle below bar → Absorption Bull signal - Red background + triangle above bar → Rejection Bear signal Important Realism & Backtesting Guidelines To avoid misleading results, publish/test with: - Initial Capital: $10,000 – $50,000 (realistic retail/futures account) - Position sizing: 1–3% equity per trade (adjust via strategy properties) - Commission: $4–$10 round-turn per contract (futures) or 0.03–0.05% (forex/stocks) - Slippage: 1–4 ticks (futures) or 0.5–2 pips (forex) — higher during news - Dataset: ≥12–36 months on chosen timeframe (aim for 400–1000+ trades) - Risk per trade: 0.5–2% max — never exceed sustainable levels Expectations: - Works best on high-volume instruments (NQ, ES, GC, BTC, major forex) during active sessions - Fewer signals in low-volatility/choppy periods - Drawdowns common during strong trends — this is a counter-trend / absorption catcher, not trend-following - News events (FOMC, NFP, earnings) can cause false signals — avoid or widen stops How to Use 1. Apply to high-liquidity symbols (NQ1!, ES1!, GC1!, BTCUSD, EURUSD, XAUUSD) 2. Timeframes: 3m–15m for scalping, 30m–1h for swing context 3. Trade during high-volume sessions (London/NY overlap for forex, US open for futures) 4. Look for confluence: - Absorption + nearby support / demand zone → stronger long - Rejection + nearby resistance / supply zone → stronger short 5. Forward-test on demo extensively — absorption setups are high-conviction but low-frequency 6. Always use proper position sizing — never risk more than 1–2% per trade Publish Recommendation - Use a clean chart: only this strategy, no extra indicators/drawings - Show realistic Strategy Tester results with commission/slippage applied - Screenshot during active session with visible absorption/rejection signal + background tint Educational tool — open-source for learning VSA/order-flow concepts. This is a proxy approximation — not true delta/order-flow. Trading involves substantial risk of loss. Test thoroughly and trade responsibly. Feedback welcome — especially parameter tuning ideas for different instruments!
Pine Script®策略
由uzair2join提供
GreenPen 1.2GreenPen MTF Confirmation Multi-timeframe price action indicator for M1 scalping (XAUUSD) How It Works Draws a range box based on 7AM (GMT+7) candle open ± offset Detects Bullish/Bearish Engulfing with wick rejection at range edges Optional Higher TF trend filter (EMA on H2/H4) Optional M5 confirmation — requires both M1 and M5 PA to align Signals 🟢🔴 Circle — Raw Engulf + Wick (unfiltered, for reference) 🔺 B / S Triangle — Filtered entry at range edge 🚀 Rocket — MTF BUY Confirmed (M1 + M5 bullish PA aligned) 🔨 Hammer — MTF SELL Confirmed (M1 + M5 bearish PA aligned) SL / TP SL placed beyond range edge + ATR buffer TP calculated using Risk:Reward ratio (default 1:2) Settings Range offset — distance from 7AM open to draw upper/lower box Edge zone % — how much of the range counts as "edge" for entries Trend filter — toggle higher TF EMA trend filter on/off MTF confirm — toggle M5 confirmation on/off Lookback — how many M1 bars to check for M5 PA alignment Recommended Timeframe: M1 Symbol: XAUUSD Trend TF: H2 or H4
Pine Script®指标
由anusorn_panya提供
Game Theory EMA with an alternate strategy Game Theory EMA Strategy – Trend-Following with Utility & Nash Filters This open-source strategy combines classic EMA crossover trend-following with simplified game-theory-inspired decision filters to improve entry quality and reduce whipsaws. Core Concept Traditional EMA strategies often suffer from false signals in ranging or low-conviction markets. This version adds lightweight game-theory proxies: - **Expected Utility** (EU): estimates relative strength of buyers vs sellers using RSI momentum, volume weighting, and trend bias - **Nash Equilibrium Proxy**: flags when buyer/seller forces are roughly balanced (low utility gap) → avoid trading in equilibrium (indecision/chop) - **Momentum Strength Ratio**: measures recent bullish vs bearish candle dominance These act as confirmation layers on top of EMA crossovers + trend filter + standard technical filters (ADX, volume, RSI), creating higher-confluence entries. Key Components & Logic 1. EMA Signals - Fast EMA (default 9) crosses above Slow EMA (21) → potential long - Fast crosses below Slow → potential short - Price must be above/below Trend EMA (50) for directional bias 2. Game Theory Filters (optional) - Buyer/Seller Expected Utility: combines RSI position, volume weight, trend direction - Utility Gap: absolute difference between buyer & seller EU → requires minimum gap (default 0.15) - Nash Equilibrium: low gap (<0.1) → market in balance → skip trade if filter enabled - Momentum Strength: ratio of bullish candles in lookback period 3. Additional Filters (toggleable) - ADX trend strength (medium or higher) - Volume surge (> SMA × multiplier) - RSI not in extreme zones (20–80) 4. Risk & Trade Management - ATR-based stop (default 1.2× ATR) - Fixed R:R target (default 1.5:1) - Max trades per day, max daily loss %, optional time filter - Multiple exit reasons: target hit, trend break (EMA slow), equilibrium, time-based Visuals & Dashboard - Fast (blue), Slow (red), Trend (orange) EMAs - Green/red background for up/down trend - Yellow background during Nash equilibrium (indecision zone) - Entry triangles + stop/target lines - Top-right info table showing: - Position, Trend, ADX strength - Buyer/Seller EU, Utility Gap, Nash status - Total trades & win rate - Trades today / daily limit Alerts - "GT Strategy: Long Signal" - "GT Strategy: Short Signal" - "GT Strategy: Nash Equilibrium" (warning) Realistic Backtesting & Usage Guidelines To publish non-misleading results: - Initial Capital: $10,000 – $50,000 (realistic retail/futures account) - Position sizing: 1–3% equity per trade (change default_qty_value from 95%!) - Commission: 0.03–0.1% per side or $4–$10 RT per contract (futures) - Slippage: 1–5 ticks (futures/indices) or 0.5–2 pips (forex) - Dataset: ≥12–36 months on chosen timeframe (aim for 300–800+ trades) - Risk per trade: 0.5–2% max — never exceed sustainable levels Expectations: - Best on trending instruments (NQ, ES, GC, XAUUSD, BTC, major forex) during active sessions - Fewer signals in choppy/low-volatility periods (Nash filter helps) - Drawdowns common during ranging markets — this is a trend-biased system, not reversal - News events can cause false entries — use time filter or manual discretion How to Use 1. Apply to high-liquidity symbols (NQ1!, ES1!, GC1!, XAUUSD, BTCUSD, EURUSD) 2. Timeframes: 5m–1h for day trading, 4h–daily for swing 3. Start with defaults: 9/21/50 EMAs, Nash & utility filters on, 1.5:1 R:R 4. Trade only when multiple filters align (EMA cross + utility edge + volume + trend) 5. Avoid major news or use wider stops 6. Forward-test on demo for 2–3 months minimum Publish Recommendation - Use a clean chart: only this strategy, no extra indicators/drawings - Show realistic Strategy Tester results with commission/slippage applied - Screenshot during trending period with visible EMA cross, entry, stop/target lines, and info table Educational tool — open-source for learning trend + decision-theory concepts. Not financial advice. Trading carries very high risk of loss — test thoroughly and trade responsibly. Feedback welcome — especially on utility calculation or filter combinations!
Pine Script®策略
由uzair2join提供
Ripster RVOL Saty ATR Levels v6 - NewRipster RVOL Saty ATR Levels v6 is a clean, options-focused dashboard that combines Ripster multi-timeframe trend bias, real-time RVOL analysis, and the Saty ATR framework into a single, readable on-chart layout. This version introduces view-safe controls to keep charts readable on lower timeframes while preserving higher-timeframe context. What this script shows 1) Ripster Multi-Timeframe Bias (LT Panel) Displays bullish/bearish bias from higher-timeframe Ripster EMA clouds: 1H Daily (two EMA sets) Weekly (5/12 and 34/50) Helps align intraday trades with higher-timeframe structure. 2) Short-Term Price Action (ST Panel) Uses Ripster clouds (34/50 and 5/12) to show short-term direction. Optional setting to calculate ST signals on 10-minute data, regardless of chart timeframe. 3) RVOL Panel Current candle volume (clean, formatted) RVOL Now (%) RVOL Previous (%) Color-coded thresholds to quickly identify abnormal volume. 4) Saty ATR Levels (Table) Displays: Period range vs ATR % Upper / lower trigger levels ±1 ATR reference levels Optional Calls / Puts labeling for options traders. Designed for context, not clutter. 5) Optional Saty ATR Level Lines Stepline plots for: Previous close Upper / lower trigger ±1 ATR Optional ±2 ATR extensions View-Safe Enhancements (v6) To prevent candle compression on small intraday timeframes, this version adds smart visual controls: “Show Saty ATR lines only on TF ≥ 30m” (recommended) When enabled, Saty ATR plot lines are automatically hidden below 30-minute charts. The Saty table remains visible, so information is never lost. Auto-disable ±2 ATR extensions on low TFs Reduces autoscale distortion from far-away levels. Status label anchored in-range Prevents y-axis stretching caused by labels plotted far from price. These changes keep execution charts clean while preserving higher-timeframe structure. Presets Options Scalper – Clean, focused view for fast decisions Options Swing – Full context with ATR extensions (30m+ recommended) 0DTE Only – Compact intraday layout with RVOL and bias A master toggle allows you to quickly enable or disable the entire dashboard. Best Use Cases Intraday / Scalping: Use ST + RVOL + Saty table without line clutter Options Trading: Fast ATR context with Calls/Puts framing Swing Trading: Enable ATR plots on 30m+ for structure and targets Notes ATR plot lines are intentionally limited on lower timeframes to avoid chart compression. If you prefer seeing all ATR lines on low TFs, simply disable the ≥30m toggle (not recommended for readability). Works best on liquid tickers with reliable extended-hours data.
Pine Script®指标
由chandranewagetrader提供