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HMK-2 | PCA-1 + Rejim + Chebyshev + VWAP (Input'lu, v6)📌 HMK-2 | PCA-1 + Regime + Chebyshev + VWAP Strategy 1️⃣ Core Structure Instead of relying on a single indicator, this system uses the Z-Score normalized average of three oscillators (RSI, MFI, ROC). Signal (PCA-1): RSI(14), MFI(14), ROC(5) → each is converted into a z-score. Their average becomes the “composite signal,” our PCA-1 value. Trend direction: If the Z-score EMA is rising → trend UP. If falling → trend DOWN. 2️⃣ Side Filters Regime Filter (ADX + EMA) ADX is calculated manually. If ADX > 20 → trend exists → a 50-period EMA of this value smooths it. This turns “trend regime” into a probability between 0–1. Chebyshev Filter A return series is checked against mean ± k*sigma bands. If the return is within this band → valid signal. Extreme moves are filtered out. VWAP Filter Long trades: price must be above VWAP. Short trades: price must be below VWAP. Trades are only taken on the correct side of institutional cost averages. 3️⃣ Entry Conditions Long: PCA-1 signal crosses above threshold. Trend Up + Regime OK + Chebyshev OK + Above VWAP. Short: PCA-1 signal crosses below threshold. Trend Down + Regime OK + Chebyshev OK + Below VWAP. 4️⃣ Exit Mechanism Main Exit: ATR-based stop/target. Stop = entry price – ATR × (SL factor). Take profit = entry price + ATR × (TP factor). Additional Exit: If price crosses to the opposite side of VWAP. If PCA-1 signal crosses zero. 👉 Prevents trades from being locked, makes exits adaptive. 5️⃣ Labels / Visualization AL / SHORT → entry points. SAT / COVER → exit points. VWAP line plotted in blue. 🧩 Strategy Features Optimizable parameters: Z-window (zWin) Threshold Chebyshev factor ATR stop/target multipliers This system works with: Disciplined core (PCA-1 signal) Triple protection (Regime + Chebyshev + VWAP) Adaptive exits (ATR + VWAP/signal cross) 👉 Not a “single-indicator robot,” but a multi-filtered trade direction engine. 💡 Final Note This is a base model of the system — open for further development. I’ve shared the logic to give you a roadmap. If you spot errors, fix them → that’s how you’ll improve it. Don’t waste time asking me questions — refine and build it better yourselves. Wishing you profitable trades. Stay well 🙏
Strategi Pine Script®
oleh Servet2662
Donchian Squeeze Oscillator# Donchian Squeeze Oscillator (DSO) - User Guide ## Overview The Donchian Squeeze Oscillator is a technical indicator designed to identify periods of low volatility (squeeze) and high volatility (expansion) in financial markets by measuring the distance between Donchian Channel bands. The indicator normalizes this measurement to a 0-100 scale, making it easy to interpret across different timeframes and instruments. ## How It Works The DSO calculates the width of Donchian Channels as a percentage of the middle line, smooths this data, and then normalizes it using historical highs and lows over a specified lookback period. The result is inverted so that: - **High values (80+)** = Narrow channels = Low volatility = Squeeze - **Low values (20-)** = Wide channels = High volatility = Expansion ## Key Parameters ### Core Settings - **Donchian Channel Period (20)**: The number of bars used to calculate the highest high and lowest low for the Donchian Channels - **Smoothing Period (5)**: Applies moving average smoothing to reduce noise in the oscillator - **Normalization Lookback (200)**: Historical period used to normalize the oscillator between 0-100 ### Threshold Levels - **Over Squeeze (80)**: Values above this level indicate strong squeeze conditions - **Over Expansion (20)**: Values below this level indicate strong expansion conditions ## Reading the Indicator ### Color Coding - **Red Line**: Squeeze condition (above 80 threshold) - Markets are consolidating - **Orange Line**: Neutral/trending condition with upward momentum - **Green Line**: Expansion condition or downward momentum ### Visual Elements - **Red Dashed Line (80)**: Squeeze threshold - potential breakout zone - **Gray Dotted Line (50)**: Middle line - neutral zone - **Green Dashed Line (20)**: Expansion threshold - high volatility zone - **Red Background**: Highlights active squeeze periods ## Trading Applications ### 1. Breakout Trading - **Setup**: Wait for DSO to reach 80+ (squeeze zone) - **Entry**: Look for breakouts when DSO starts declining from squeeze levels - **Logic**: Prolonged low volatility often precedes significant price movements ### 2. Volatility Cycle Trading - **Squeeze Phase**: DSO > 80 - Prepare for potential breakout - **Breakout Phase**: DSO declining from 80 - Trade the direction of breakout - **Expansion Phase**: DSO < 20 - Expect trend continuation or reversal ### 3. Trend Confirmation - **Orange Color**: Suggests bullish momentum during expansion - **Green Color**: Suggests bearish momentum or consolidation - Use in conjunction with price action for trend confirmation ## Best Practices ### Timeframe Selection - **Higher Timeframes (Daily, 4H)**: More reliable signals, fewer false breakouts - **Lower Timeframes (1H, 15M)**: More frequent signals but higher noise - **Multi-timeframe Analysis**: Confirm squeeze on higher TF, enter on lower TF ### Parameter Optimization - **Volatile Markets**: Increase Donchian period (25-30) and smoothing (7-10) - **Range-bound Markets**: Decrease Donchian period (15-20) for more sensitivity - **Trending Markets**: Use longer normalization lookback (300-400) ### Signal Confirmation Always combine DSO signals with: - **Price Action**: Support/resistance levels, chart patterns - **Volume**: Confirm breakouts with increasing volume - **Other Indicators**: RSI, MACD, or momentum oscillators ## Alert System The indicator includes built-in alerts for: - **Squeeze Started**: When DSO crosses above the squeeze threshold - **Expansion Started**: When DSO crosses below the expansion threshold ## Common Pitfalls to Avoid 1. **False Breakouts**: Don't trade every squeeze - wait for confirmation 2. **Parameter Over-optimization**: Stick to default settings initially 3. **Ignoring Market Context**: Consider overall market conditions and news 4. **Single Indicator Reliance**: Always use additional confirmation tools ## Advanced Tips - Monitor squeeze duration - longer squeezes often lead to bigger moves - Look for squeeze patterns at key support/resistance levels - Use DSO divergences with price for potential reversal signals - Combine with Bollinger Band squeezes for enhanced accuracy ## Conclusion The Donchian Squeeze Oscillator is a powerful tool for identifying volatility cycles and potential breakout opportunities. Like all technical indicators, it should be used as part of a comprehensive trading strategy rather than as a standalone signal generator. Practice with the indicator on historical data before implementing it in live trading to understand its behavior in different market conditions.
Penunjuk Pine Script®
oleh cgrmetin
Realized Volatility (StdDev of Returns, %)Realized Volatility (StdDev of Returns, %) This indicator measures realized (historical) volatility by calculating the standard deviation of log returns over a user-defined lookback period. It helps traders and analysts observe how much the price has varied in the past, expressed as a percentage. How it works: Computes close-to-close logarithmic returns. Calculates the standard deviation of these returns over the selected lookback window. Provides three volatility measures: Daily Volatility (%): Standard deviation over the chosen period. Annualized Volatility (%): Scaled using the square root of the number of trading days per year (default = 250). Horizon Volatility (%): Scaled to a custom horizon (default = 5 days, useful for short-term views). Inputs: Lookback Period: Number of bars used for volatility calculation. Trading Days per Year: Used for annualizing volatility. Horizon (days): Adjusts volatility to a shorter or longer time frame. Notes: This is a statistical measure of past volatility, not a forecasting tool. If you change the scale to logarithmic, the indicator readibility improves. It should be used for analysis in combination with other tools and not as a standalone signal.
Penunjuk Pine Script®
oleh risk_alpha
EMA Oscillator [Alpha Extract]A precision mean reversion analysis tool that combines advanced Z-score methodology with dual threshold systems to identify extreme price deviations from trend equilibrium. Utilizing sophisticated statistical normalization and adaptive percentage-based thresholds, this indicator provides high-probability reversal signals based on standard deviation analysis and dynamic range calculations with institutional-grade accuracy for systematic counter-trend trading opportunities. 🔶 Advanced Statistical Normalization Calculates normalized distance between price and exponential moving average using rolling standard deviation methodology for consistent interpretation across timeframes. The system applies Z-score transformation to quantify price displacement significance, ensuring statistical validity regardless of market volatility conditions. // Core EMA and Oscillator Calculation ema_values = ta.ema(close, ema_period) oscillator_values = close - ema_values rolling_std = ta.stdev(oscillator_values, ema_period) z_score = oscillator_values / rolling_std 🔶 Dual Threshold System Implements both statistical significance thresholds (±1σ, ±2σ, ±3σ) and percentage-based dynamic thresholds calculated from recent oscillator range extremes. This hybrid approach ensures consistent probability-based signals while adapting to varying market volatility regimes and maintaining signal relevance during structural market changes. // Statistical Thresholds mild_threshold = 1.0 // ±1σ (68% confidence) moderate_threshold = 2.0 // ±2σ (95% confidence) extreme_threshold = 3.0 // ±3σ (99.7% confidence) // Percentage-Based Dynamic Thresholds osc_high = ta.highest(math.abs(z_score), lookback_period) mild_pct_thresh = osc_high * (mild_pct / 100.0) moderate_pct_thresh = osc_high * (moderate_pct / 100.0) extreme_pct_thresh = osc_high * (extreme_pct / 100.0) 🔶 Signal Generation Framework Triggers buy/sell alerts when Z-score crosses extreme threshold boundaries, indicating statistically significant price deviations with high mean reversion probability. The system generates continuation signals at moderate levels and reversal signals at extreme boundaries with comprehensive alert integration. // Extreme Signal Detection sell_signal = ta.crossover(z_score, selected_extreme) buy_signal = ta.crossunder(z_score, -selected_extreme) // Dynamic Color Coding signal_color = z_score >= selected_extreme ? #ff0303 : // Extremely Overbought z_score >= selected_moderate ? #ff6a6a : // Overbought z_score >= selected_mild ? #b86456 : // Mildly Overbought z_score > -selected_mild ? #a1a1a1 : // Neutral z_score > -selected_moderate ? #01b844 : // Mildly Oversold z_score > -selected_extreme ? #00ff66 : // Oversold #00ff66 // Extremely Oversold 🔶 Visual Structure Analysis Provides a six-tier color gradient system with dynamic background zones indicating mild, moderate, and extreme conditions. The histogram visualization displays Z-score intensity with threshold reference lines and zero-line equilibrium context for precise mean reversion timing. snapshot 4H 1D 🔶 Adaptive Threshold Selection Features intelligent threshold switching between statistical significance levels and percentage-based dynamic ranges. The percentage system automatically adjusts to current volatility conditions using configurable lookback periods, while statistical thresholds maintain consistent probability-based signal generation across market cycles. 🔶 Performance Optimization Utilizes efficient rolling calculations with configurable EMA periods and threshold parameters for optimal performance across all timeframes. The system includes comprehensive alert functionality with customizable notification preferences and visual signal overlay options. 🔶 Market Oscillator Interpretation Z-score > +3σ indicates statistically significant overbought conditions with high reversal probability, while Z-score < -3σ signals extreme oversold levels suitable for counter-trend entries. Moderate thresholds (±2σ) capture 95% of normal price distributions, making breaches statistically significant for systematic trading approaches. snapshot 🔶 Intelligent Signal Management Automatic signal filtering prevents false alerts through extreme threshold crossover requirements, while maintaining sensitivity to genuine statistical deviations. The dual threshold system provides both conservative statistical approaches and adaptive market condition responses for varying trading styles. Why Choose EMA Oscillator ? This indicator provides traders with statistically-grounded mean reversion analysis through sophisticated Z-score normalization methodology. By combining traditional statistical significance thresholds with adaptive percentage-based extremes, it maintains effectiveness across varying market conditions while delivering high-probability reversal signals based on quantifiable price displacement from trend equilibrium, enabling systematic counter-trend trading approaches with defined statistical confidence levels and comprehensive risk management parameters.
Penunjuk Pine Script®
oleh AlphaExtract
Penguin TrendMeasures the volatility regime by comparing the upper Bollinger Band to the upper Keltner Channel and colors bars with a lightweight trend state. Supports SMA/EMA/WMA/RMA/HMA/VWMA/VWAP and a selectable calculation timeframe. Default settings preserve the original look and behavior. Penguin Trend visualizes expansion vs. compression in price action by comparing two classic volatility envelopes. It computes: Diff% = (UpperBB − UpperKC) / UpperKC × 100 * Diff > 0: Bollinger Bands are wider than Keltner Channels -> expansion / momentum regime. * Diff < 0: BB narrower than KC -> compression / squeeze regime. A white “Average Difference” line smooths Diff% (default: SMA(5)) to help spot regime shifts. Trend coloring (kept from original): Bars are colored only when Diff > 0 to emphasize expansion phases. A lightweight trend engine defines four states using a fast/slow MA bias and a short “thrust” MA applied to ohlc4: * Green: Bullish bias and thrust > fast MA (healthy upside thrust). * Red: Bearish bias and thrust < fast MA (healthy downside thrust). * Yellow: Bullish bias but thrust ≤ fast MA (pullback/weakness). * Blue: Bearish bias but thrust ≥ fast MA (bear rally/short squeeze). Note: By default, Blue renders as Yellow to preserve the original visual style. Enable “Use true BLUE color” if you prefer Aqua for Blue. How it works (under the hood): * Bollinger Bands (BB): Basis = selected MA of src (default SMA(20)). Width = StdDev × Mult (default 2.0). * Keltner Channels (KC): Basis = selected MA of src (default SMA(20)). Width = ATR(kcATR) × Mult (defaults 20 and 2.0). * Diff%: Safe division guards against division-by-zero. * MA engine: You can choose SMA / EMA / WMA / RMA / HMA / VWMA / VWAP for BB/KC bases, Diff smoothing, and the trend components (VWAP is session-anchored). * Calculation timeframe: Set “Calculation timeframe” to compute all internals on a chosen TF via request.security() while viewing any chart TF. Inputs (key ones): * Calculation timeframe: Empty = use chart TF; if set (e.g., 60), all internals compute on that TF. * BB: Length, StdDev Mult, MA Type. * KC: Basis Length, ATR Length, Multiplier, MA Type. * Smoothing: Average Length & MA Type for the “Average Difference” line. * Trend Engine: Fast/Slow lengths & MA type; Signal (kept for completeness); Thrust length & MA type (defaults replicate original behavior). * Display: Paint bars only when Diff > 0; optional Zero line; optional true Blue color. How to use: 1. Regime changes: Watch Diff% or Average Diff crossing 0. Above zero favors momentum/continuation setups; below zero suggests compression and potential breakout conditions. 2. State confirmation: Use bar colors to qualify expansion: Green/Red indicate expansion aligned with trend thrust; Yellow/Blue flag weaker/contrarian thrust during expansion. 3. Multi-timeframe analysis: Run calculations on a higher TF (e.g., H1/H4) while trading a lower TF chart to smooth noise. Alerts: * Diff crosses above/below 0. * Average Diff crosses above/below 0. * State changes: GREEN / RED / YELLOW / BLUE. Notes & limitations: * VWAP is session-anchored and best on intraday data. If not applicable on the selected calculation TF, the script automatically falls back to EMA. * Default parameters (SMA(20) for BB/KC, multipliers 2.0, SMA(5) smoothing, trend logic and bar painting) preserve the original appearance. Release notes: v6.0 — Rewritten in Pine v6 with structured inputs and guards. Multi-MA support (SMA/EMA/WMA/RMA/HMA/VWMA/VWAP). Calculation timeframe via request.security() for multi-TF workflows. Safe division; optional zero line; optional true Blue color. Original visuals and behavior preserved by default. License / disclaimer: © waranyu.trkm — MIT License. Educational use only; not financial advice.
Penunjuk Pine Script®
oleh waranyutrkm
Previous Days High & Low RTH Session by TenAM TraderPurpose: This indicator plots the high and low levels of previous trading days’ Regular Trading Hours (RTH), helping traders identify key support and resistance zones based on historical price action. How to Use / Strategy: Designed as a super simple trading strategy: Buy when price breaks above and confirms the previous day’s high. Sell when price breaks below and confirms the previous day’s low. Alerts notify you when price interacts with these levels, helping traders act on confirmed breakout opportunities rather than premature moves. *Traders can also look for reversal opportunities if price breaks back through one of the levels. Note: Make sure RTH (Regular Trading Hours) is turned on for the chart, as the indicator is based on RTH highs and lows. Features: Tracks previous days’ highs and lows. Provides clear visual reference for support and resistance. Simple, actionable strategy based on breakout confirmations and reversal plays. Alerts for confirmed price breaks. Disclaimer: This indicator is for educational and informational purposes only. It does not provide financial advice. Trading involves risk, and past performance does not guarantee future results. Users trade at their own risk.
Penunjuk Pine Script®
oleh TenAM_Trader
MTF RSI + ADX + ATR SL/TP vivekDescription: This strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves. 🔑 Entry Rules: • Daily RSI > 60 • 4H RSI > 60 • 1H RSI > 60 • 10m RSI > 40 • ADX (current timeframe) > 20 When all conditions align, a long entry is triggered. 🛡 Risk Management: • ATR-based Stop-Loss (customizable multiplier) • Take-Profit defined as a Risk-Reward multiple of the ATR stop 🎯 Why this Strategy? • Ensures alignment across higher timeframes before entering a trade • Uses ADX to avoid choppy/range-bound markets • Built-in ATR stop-loss & take-profit for disciplined risk control • Fully customizable parameters This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
Strategi Pine Script®
oleh realisticUnico30812
MTF RSI + ADX + ATR SL/TPThis strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves. 🔑 Entry Rules: • Daily RSI > 60 • 4H RSI > 60 • 1H RSI > 60 • 10m RSI > 40 • ADX (current timeframe) > 20 When all conditions align, a long entry is triggered. 🛡 Risk Management: • ATR-based Stop-Loss (customizable multiplier) • Take-Profit defined as a Risk-Reward multiple of the ATR stop 🎯 Why this Strategy? • Ensures alignment across higher timeframes before entering a trade • Uses ADX to avoid choppy/range-bound markets • Built-in ATR stop-loss & take-profit for disciplined risk control • Fully customizable parameters This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
Strategi Pine Script®
oleh realisticUnico30812
Alpha Spread Indicator Panel - [AlphaGroup.Live]Alpha Spread Indicator Panel – This sub-panel plots the OLS spread between two assets, normalized into percent . • Green area = spread above zero (Buy Leg1 / Sell Leg2) • Red area = spread below zero (Sell Leg1 / Buy Leg2) • The white line shows the exact % deviation of the spread from its fitted baseline • Optional ±1% and ±2% guides give clear statistical thresholds Because it’s expressed in percent relative to midprice , the scale remains consistent even if absolute prices change over years. ⚠️ Important: This panel is designed to be used together with the overlay chart: 👉 Alpha Spread Indicator Chart – Pre-selected asset pairs included: EURUSD / GBPUSD AUDUSD / NZDUSD USDJPY / USDCHF USDCAD / USDNOK EURJPY / GBPJPY AUDJPY / NZDJPY XAUUSD / XAGUSD WTI (USOIL) / Brent (UKOIL) NatGas / Crude HeatingOil / RBOB Corn / Wheat Platinum / Palladium XOM / CVX KO / PEP V / MA JPM / BAC NVDA / AMD BHP / RIO SHEL / BP SPY / QQQ Want more institutional-grade setups? Get our 100 Trading Strategies eBook free at: alphagroup.live Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Penunjuk Pine Script®
oleh AlphaGroupLive
Alpha Spread Indicator Chart - [AlphaGroup.Live]Alpha Spread Indicator Chart – This overlay plots the two legs of a pair trade directly on the price chart . • Leg1 is shown in teal • Leg2 (fitted) is shown in orange • The green/red filled area shows the distance (spread) between the two The spread is calculated using OLS regression fitting , which keeps Leg2 scaled to Leg1 so the overlay always sticks to the chart’s price axis. When the fill turns green , the model suggests Buy Leg1 / Sell Leg2; when it turns red , it suggests Sell Leg1 / Buy Leg2. Optional Z-Score bands help visualize statistical stretch from the mean. ⚠️ Important: To use this tool properly, you also need to install the companion script: 👉 Alpha Spread Indicator Panel – Pre-selected asset pairs included: EURUSD / GBPUSD AUDUSD / NZDUSD USDJPY / USDCHF USDCAD / USDNOK EURJPY / GBPJPY AUDJPY / NZDJPY XAUUSD / XAGUSD WTI (USOIL) / Brent (UKOIL) NatGas / Crude HeatingOil / RBOB Corn / Wheat Platinum / Palladium XOM / CVX KO / PEP V / MA JPM / BAC NVDA / AMD BHP / RIO SHEL / BP SPY / QQQ Ready to take your trading further? Download our free eBook with 100 trading strategies at: alphagroup.live Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Penunjuk Pine Script®
oleh AlphaGroupLive
Shock Detector: Price Jerk with Std-Dev BandsDetect sudden shocks in market behaviour This indicator measures the jerk of price – the third derivative of price with respect to time (rate of change of acceleration). It highlights sudden accelerations and decelerations in price movement that are often invisible with standard momentum or volatility indicators. Per-bar or time-scaled derivatives (choose whether calculations are based on bars or actual seconds). Features Log-price option for more stable readings across different price levels. Optional smoothing with EMA to reduce noise. Line or column view for flexible visualization. Standard deviation bands (±1σ and ±2σ), centered either on zero or the rolling mean. Auto window selection (1 day to 4 weeks), adaptive to chart timeframe. Color-coded jerk: green for positive, red for negative. Optional filled bands for easy visual context of normal vs. extreme jerk moves. How to Use Use jerk to identify sudden shifts in market dynamics, where price movement is not just changing direction but changing its acceleration. Bands help highlight when jerk values are statistically unusual compared to recent history. Combine with trend or momentum indicators for potential early warning of breakouts, reversals, or exhaustion. Why it’s useful Most indicators measure price, velocity (returns), or acceleration (momentum). This goes one step further to look at jerk, giving you a tool to spot “shock” movements in the market. By framing jerk within standard deviation bands, it’s easy to see whether current moves are ordinary or exceptional. Developed with the assistance of ChatGPT (OpenAI).
Penunjuk Pine Script®
oleh tmfou
Regime Radar — Trend vs Volatile [AlphaGroup.Live]⚡ Regime Radar — Trend vs Volatile Markets switch personalities. Some weeks they trend relentlessly. Other times they chop, fake out, and punish breakout traders. This tool tells you — at a glance — whether an asset is in TREND , VOLATILE , or MIXED mode across multiple timeframes. 🔑 How it works The engine scores every timeframe on two dimensions: Trend Score (directional persistence): • Efficiency Ratio (straight vs noisy moves) • Normalized ADX (directional movement strength) • Positive autocorrelation (persistence of returns) Volatile Score (chop / mean reversion): • 1 − Efficiency Ratio (lack of direction) • Frequency of outside bars (indecision candles) • Negative autocorrelation (flip-flop behavior) Then it compares the difference: • TREND if Trend − Volatile > thWeak • VOLATILE if Trend − Volatile < −thWeak • MIXED if the difference is inside Strength comes from how far apart the scores are: • Strong if |diff| ≥ thStrong • Weak if thWeak ≤ |diff| < thStrong • Neutral if |diff| < thWeak 🖼️ What you see • Yellow candles mark outside bars (both high & low broken) → “non-decision” events. • A dashboard table prints your chosen timeframes with verdicts like: 5m VOLATILE Strong 15m VOLATILE Weak 1h TREND Neutral 4h TREND Weak D VOLATILE Neutral W TREND Strong M TREND Strong • Optional Bias column shows the numeric difference (Trend − Volatile). 💡 Why use it • Spot when trend-following systems (crossovers, inside bar breakouts) are favored. • Spot when reversal systems (RSI2, MinMax, Bollinger plays) are favored. • Check regime alignment across intraday, swing, and macro frames. • Avoid trading a TREND system in a VOLATILE regime (and vice versa). ⚡ Want more setups? Get 100 battle-tested trading strategies FREE here: 👉 alphagroup.live No excuses. No guesswork. The market tells you its regime. Listen — and adapt. 📌 Tags trenddetection, volatility, regimefilter, trendfilter, rangetrading, meanreversion, priceaction, chartpatterns, riskmanagement, tradingdashboard, forex, crypto, stocks, scalping, swingtrading
Penunjuk Pine Script®
oleh AlphaGroupLive
Instant Breakout Strategy with RSI & VWAPInstant Breakout Strategy with RSI & VWAP This TradingView strategy (Pine Script v6) trades breakouts using pivot points, with optional filters for volume, momentum, RSI, and VWAP. It’s optimized for the 1-second timeframe. Overview The strategy identifies breakouts when price crosses above resistance (pivot highs) or below support (pivot lows). It can use basic pivot breakouts or add filters for stronger signals. Take-profit and stop-loss levels are set using ATR, and signals are shown on the chart. Inputs Left/Right Pivot Bars: Bars to detect pivots (default: 3). Lower values increase sensitivity. Volume Surge Multiplier: Volume threshold vs. 20-period average (default: 1.5). Momentum Threshold: Minimum % price change from bar open (default: 1%). Take-Profit ATR Multiplier: ATR multiplier for take-profit (default: 9.0). Stop-Loss ATR Multiplier: ATR multiplier for stop-loss (default: 1.0). Use Filters: Enable/disable volume, momentum, RSI, and VWAP filters (default: off). How It Works 1. Pivot Detection Finds pivot highs (resistance) and lows (support) using ta.pivothigh and ta.pivotlow. Tracks the latest pivot levels. 2. Volume Surge Compares current volume to a 20-period volume average. A surge occurs if volume exceeds the average times the multiplier. 3. Momentum Measures price change from the bar’s open. Bullish: Price rises >1% from open. Bearish: Price falls >1% from open. 4. RSI and VWAP RSI: 3-period RSI. Above 50 is bullish; below 50 is bearish. VWAP: Price above VWAP is bullish; below is bearish. 5. ATR 14-period ATR sets take-profit (close ± atr * 9.0) and stop-loss (close ± atr * 1.0). Trading Rules Breakout Conditions Bullish Breakout: Price crosses above the latest pivot high. With filters: Volume surge, bullish momentum, RSI > 50, price > VWAP. Without filters: Only the crossover is needed. Bearish Breakout: Price crosses below the latest pivot low. With filters: Volume surge, bearish momentum, RSI < 50, price < VWAP. Without filters: Only the crossunder is needed. Entries and Exits Long: Enter on bullish breakout. Set take-profit and stop-loss. Close any short position. Short: Enter on bearish breakout. Set take-profit and stop-loss. Close any long position. Visuals Signals: Green triangles (bullish) below bars, red triangles (bearish) above bars. Pivot Levels: Green line (resistance), red line (support). Indicators: RSI (blue, separate pane), VWAP (purple, on chart). How to Use Apply to a 1-second chart in TradingView for best results. Adjust inputs (e.g., pivot bars, multipliers). Enable filters for stricter signals. Watch for buy/sell triangles and monitor RSI/VWAP. Use ATR-based take-profit/stop-loss for risk management. Notes Best on 1-second timeframe due to fast RSI and responsiveness. Disable filters for more signals (less confirmation). Backtest before live trading to check performance. This strategy uses pivots, volume, momentum, RSI, and VWAP for clear breakout trades on the 1-second timeframe.
Strategi Pine Script®
oleh thetraderlodge
2
ICT Macro Time Window NYThis script highlights the typical ICT “macro” algorithm activity windows on your chart. It marks 10 minutes before to 10 minutes after each full hour, based on New York time (NY). The display is restricted to the 00:00 – 16:00 NY time range. Overlay on chart with semi-transparent background Automatically adjusts to the chart timeframe Customizable: window start/end minutes, hours, and background color Ideal for traders following ICT concepts to visually identify high-probability algorithm activity periods.
Penunjuk Pine Script®
oleh pschloegl1
Kitti-Playbook ATR Study R0 Date : Aug 22 2025 Kitti-Playbook ATR Study R0 This is used to study the operation of the ATR Trailing Stop on the Long side, starting from the calculation of True Range. 1) Studying True Range Calculation 1.1) Specify the Bar graph you want to analyze for True Range.
Enable "Show Selected Price Bar" to locate the desired bar. 1.2) Enable/disable "Display True Range" in the Settings.
True Range is calculated as:
TR = Max (|H - L|, |H - Cp|, |Cp - L|) • Show True Range:
Each color on the bar represents the maximum range value selected: ◦ |H - L| = Green ◦ |H - Cp| = Yellow ◦ |Cp - L| = Blue • Show True Range on Selected Price Bar:
An arrow points to the range, and its color represents the maximum value chosen: ◦ |H - L| = Green ◦ |H - Cp| = Yellow ◦ |Cp - L| = Blue • Show True Range Information Table:
Displays the actual values of |H - L|, |H - Cp|, and |Cp - L| from the selected bar. 2) Studying Average True Range (ATR) 2.1) Set the ATR Length in Settings.
Default value: ATR Length = 14 2.2) Enable/disable "Display Average True Range (RMA)" in Settings: • Show ATR • Show ATR Length from Selected Price Bar
(An arrow will point backward equal to the ATR Length) 3) Studying ATR Trailing 3.1) Set the ATR Multiplier in Settings.
Default value: ATR Multiply = 3 3.2) Enable/disable "Display ATR Trailing" in Settings: • Show High Line • Show ATR Bands • Show ATR Trailing 4) Studying ATR Trailing Exit (Occurs when the Close price crosses below the ATR Trailing line) Enable/disable "Display ATR Trailing" in Settings: • Show Close Line • Show Exit Points
(Exit points are marked by an orange diamond symbol above the price bar)
Penunjuk Pine Script®
oleh Kittimasak_S
StdDev Supply/Demand Zone RefinerThis indicator uses standard deviation bands to identify statistically significant price extremes, then validates these levels through volume analysis and market structure. It employs a proprietary "Zone Refinement" technique that dynamically adjusts zones based on price interaction and volume concentration, creating increasingly precise support/resistance areas. Key Features: Statistical Extremes Detection: Identifies when price reaches 2+ standard deviations from mean Volume-Weighted Zone Creation: Only creates zones at extremes with abnormal volume Dynamic Zone Refinement: Automatically tightens zones based on touch points and volume nodes Point of Control (POC) Identification: Finds the exact price with maximum volume within each zone Volume Profile Visualization: Shows horizontal volume distribution to identify key liquidity levels Multi-Factor Validation: Combines volume imbalance, zone strength, and touch count metrics Unlike traditional support/resistance indicators that use arbitrary levels, this system: Self-adjusts based on market volatility (standard deviation) Refines zones through machine-learning-like feedback from price touches Weights by volume to show where real money was positioned Tracks zone decay - older, untested zones automatically fade
Penunjuk Pine Script®
oleh yundore
1