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RSI DCA StrategyThis strategy combines RSI oversold signals with a Dollar-Cost Averaging (DCA) buying approach. Trigger: When the RSI (Relative Strength Index) crosses below 30, the strategy marks an oversold condition. DCA Entry: Once triggered, the strategy executes up to three consecutive daily entries (1 per day), splitting the predefined capital equally (configurable by user). Position Management: Take Profit at a configurable % above the average entry price. Stop Loss at a configurable % below the average entry price. Exit Conditions: The strategy automatically exits either on reaching Take Profit or Stop Loss. Visualization: RSI plotted with oversold line (30). Take Profit and Stop Loss lines displayed after entry. Performance Reporting: Includes an optional monthly performance table for evaluating results by month. Note: This strategy is for testing RSI-based mean reversion with staggered entries. It is not financial advice and should be optimized and validated for each market or timeframe before practical use.
Pine Script® strategy
by BurbinLee
Hilly's 0010110 Reversal Scalping Strategy - 5 Min CandlesKey Features and Rationale: Timeframe: Restricted to 5-minute candles as requested. Pattern Integration: Includes single (Hammer, Shooting Star, Doji), two (Engulfing, Harami), and three-plus (Morning Star, Evening Star) candlestick patterns, plus reversal patterns based on RSI extremes. VWAP Cross: Incorporates bullish (price crosses above VWAP) and bearish (price crosses below VWAP) signals, enhanced by trend context. Volume Analysis: Uses a volume spike threshold to filter noise, with a simple day-start volume comparison for financial environment context. Financial Environment: Approximates the day's sentiment using early-hour volume compared to current volume, adjusted by trend. Aggregation: Scores each condition (e.g., 1 for basic patterns, 2 for strong patterns like Engulfing, 3 for three-candle patterns) and decides based on weighted consensus, with trendStrength as a tunable threshold. Risky Approach: Minimal filtering and a low trendStrength (default 0.5) allow frequent signals, aligning with your $100-to-$200 goal, but expect higher risk. Suggested Inputs: EMA Length: 10 (short enough for 5-minute sensitivity). VWAP Lookback: 1 (uses current session VWAP). Volume Threshold Multiplier: 1.2 (moderate spike requirement). RSI Length: 14 (standard, adjustable to 7 for more sensitivity). Trend Strength Threshold: 0.5 (balance between signals; lower to 0.4 for more trades, raise to 0.6 for fewer).
Pine Script® strategy
by Hilly1976
ORB Breakout Strategy with reversalORB 1,5,15,30,60min with reversals, its my first strategy Im not 100% sure it works well. Im not a programmer nor a profitable trader. Max stoploss in points sets maximum fixed stoploss Stop offset sets additional points below/above signal bar RR Ratio is pretty self explanatory, it sets target based on stoploss American session is time when positions can be opened ORB SessionIs basically almost the same but when the time runs it closes all positions\ ORB candle timeframe is the time which orb is measured Enable reverse position enables reversing positions on stoploss of first position, stoploss of reverse position is based on max stoploss and target is set by RR times max stoploss Im sharing this to share this with my friends, discuss some things and dont have to test it manually. I made it all myself and with help of AI Sorry for bad english
Pine Script® strategy
by Ciuchers
Hilega Milega v6 - Pure EMA/SMA (Nitesh Kumar) + Full BacktestHilega to milega he Hilega Milega Strategy, inspired by the technique of Nitesh Kumar, is designed for intraday and swing traders who want structured entries and exits with clear demand–supply logic. 🔑 Core Features Demand & Supply Zones – Automatically plots potential strong buying and selling zones for high-probability trades. Trend Identification – Uses a blend of EMAs/SMA crossovers to identify bullish and bearish market bias. Buy & Sell Signals – Generates real-time visual signals based on “Hilega Milega” rules for quick decision-making. Risk Management – Suggested stop-loss levels are derived from recent demand–supply areas to minimize drawdowns. Backtesting Enabled – Traders can test the performance across multiple assets (stocks, forex, crypto, commodities). 📊 How It Works Buy Signal → When price action confirms a bullish zone with supporting trend filters. Sell Signal → When price action confirms a bearish zone or reversal pattern. Flat/Exit → Position closed when opposite signal triggers or demand–supply imbalance fades. ⚡ Best Use Cases Intraday trading (5m, 15m, 1H charts). Swing trading (4H, Daily charts). Works across stocks, crypto, commodities, and forex. ⚠️ Disclaimer: This strategy is for educational purposes. Backtest thoroughly and apply proper risk management before live trading.
Pine Script® strategy
by Wannabeabillionaire
Small-Cap — Sell Every Spike (Rendon1) Small-Cap — Sell Every Spike v6 — Strict, No Look-Ahead Educational use only. This is not financial advice or a signal service. This strategy targets low/ mid-float runners (≤ ~20M) that make parabolic spikes. It shorts qualified spikes and scales out into flushes. Logic is deliberately simple and transparent to avoid curve-fit. What the strategy does Detects a parabolic up move using: Fast ROC over N bars Big range vs ATR Volume spike vs SMA Fresh higher high (no stale spikes) Enters short at bar close when conditions are met (no same-bar fills). Manages exits with ATR targets and optional % covers. Tracks float rotation intraday (manual float input) and blocks trades above a hard limit. Draws daily spike-high resistance from confirmed daily bars (no repaint / no look-ahead). Timeframes & market Designed for 1–5 minute charts. Intended for US small-caps; turn Premarket on. Works intraday; avoid illiquid tickers or names with constant halts. Entry, Exit, Risk (short side) Entry: parabolic spike (ROC + Range≥ATR×K + Vol≥SMA×K, new HH). Optional confirmations (OFF by default to “sell every spike”): upper-wick and VWAP cross-down. Stop: ATR stop above entry (default 1.2× ATR). Targets: TP1 = 1.0× ATR, TP2 = 2.0× ATR + optional 10/20/30% covers. Safety: skip trades if RVOL is low or Float Rotation exceeds your limit (default warn 5×, hard 7×). Inputs (Balanced defaults) Price band: $2–$10 Float Shares: set per ticker (from Finviz). RVOL(50) ≥ 1.5× ROC(5) ≥ 1.0%, Range ≥ 1.6× ATR, Vol ≥ 1.8× SMA Cooldown: 10 bars; Max trades/day: 6 Optional: Require wick (≥35%) and/or Require VWAP cross-down. Presets suggestion: • Balanced (defaults above) • Safer: wick+VWAP ON, Range≥1.8×, trades/day 3–4 • Micro-float (<5M): ROC 1.4–1.8%, Range≥1.9–2.2×, Vol≥2.2×, RVOL≥2.0, wick 40–50% No look-ahead / repaint notes Daily spike-highs use request.security(..., lookahead_off) and shifted → only closed daily bars. Orders arm next bar after entry; entries execute at bar close. VWAP/ATR/ROC/Vol/RVOL are computed on the chart timeframe (no HTF peeking). How to use Build a watchlist: Float <20M, RelVol >2, Today +20% (Finviz). Open 1–5m chart, enter Float Shares for the ticker. Start with Balanced, flip to Safer on halty/SSR names or repeated VWAP reclaims. Scale out into flushes; respect the stop and rotation guard. Limitations & risk Backtests on small-caps can be optimistic due to slippage, spreads, halts, SSR, and limited premarket data. Always use conservative sizing. Low-float stocks can squeeze violently. Alerts Parabolic UP (candidate short) SHORT Armed (conditions met; entry at bar close)
Pine Script® strategy
by Rendon1
Hazel nut BB Strategy, volume base- lite versionHazel nut BB Strategy, volume base — lite version Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses. This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control. In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage . The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values. ◉ Volume Settings • Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution. • A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes. • Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window. ◉ Bollinger Band • Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA). • Inputs allow control of length, standard deviation multiplier, and offset. • The basis, upper, and lower bands are plotted, with a shaded background between them. ◉ Progress & Proximity • Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus). • “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%). • A signed score (sScore) represents how far the close has moved above or below the basis relative to band width. ◉ Info Table • Optional compact table summarizing: • - Upper/lower band margins • - Buyer/seller volumes with moving averages • - Delta and cumulative delta • - Buyer/seller ratios per bar and across the window • - Money flow values (buy/sell/delta × price) for bar-level and summed periods • The table is neutral-colored and resizable for different chart layouts. ◉ Zone Event Gate • Tracks entry into and exit from “near band” zones. • Arming logic: a side is armed when price enters a band proximity zone. • Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window. ◉ Trading Logic • Orders are placed only on zone-exit events, conditional on volume dominance. • Position sizing is defined as a fixed percentage of strategy equity. • Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance. ◉ Exit Rules • Open positions are managed by a strict priority sequence: • 1. Stop-loss (% of entry price) • 2. Take-profit (% of entry price) • 3. Opposite-side event (zone exit with dominance in the other direction) • Stop-loss and take-profit levels are configurable ◉ Notes • This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic. • It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals. When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.
Pine Script® strategy
by ata_sabanci
Trend Strength Index Long Strategy📈 Trend Strength Index Long Strategy This strategy combines the Trend Strength Index (TSI) with a Volume-Weighted Moving Average (VWMA) to identify high-probability long entries based on trend momentum and price confirmation. 📊 TSI Calculation : Measures correlation between price and time (bar index) over a user-defined period. Strong TSI values indicate trend momentum. 📏 VWMA Filter : Confirms bullish bias when price is above the VWMA. 🚀 Entry Condition : Long position is triggered when TSI crosses above -0.65 and price is above VWMA. 🔒 Exit Condition : Position is closed when TSI crosses above 0.65. 🎨 Visuals : Gradient fills highlight bullish and bearish zones. VWMA is plotted for trend context. 🧮 TSI Length: Adjustable (default 14) 📐 VWMA Length: Adjustable (default 55) 💸 Commission: 0.1% per trade 📊 Position Size: 75% of equity ⚙️ Slippage: 10 ticks ✅ Best used in trending markets with steady momentum. ⚠️ Avoid in choppy or range-bound conditions.
Pine Script® strategy
by llbot
QZ Trend (Crypto Edition) v1.1a: Donchian, EMA, ATR, Liquidity/FThe "QZ Trend (Crypto Edition)" is a rules-based trend-following breakout strategy for crypto spot or perpetual contracts, focusing on following trends, prioritizing risk control, seeking small losses and big wins, and trading only when advantageous. Key mechanisms include: - Market filters: Screen favorable conditions via ADX (trend strength), dollar volume (liquidity), funding fee windows, session/weekend restrictions, and spot-long-only settings. - Signals & entries: Based on price position relative to EMA and EMA trends, combined with breaking Donchian channel extremes (with ATR ratio confirmation), plus single-position rules and post-exit cooldowns. - Position sizing: Calculate positions by fixed risk percentage; initial stop-loss is ATR-based, complying with exchange min/max lot requirements. - Exits & risk management: Include initial stop-loss, trailing stop (tightens only), break-even rule (stop moves to entry when target floating profit is hit), time-based exit, and post-exit cooldowns. - Pyramiding: Add positions only when profitable with favorable momentum, requiring ATR-based spacing; add size is a fraction of the base position, with layers sharing stop logic but having unique order IDs. Charts display EMA, Donchian channels, current stop lines, and highlight low ADX, avoidable funding windows, and low-liquidity periods. Recommend starting with 4H or 1D timeframes, with typical parameters varying by cycle. Liquidity settings differ by token; perpetuals should enable funding window filters, while spot requires "long-only" and matching fees. The strategy performs well in trends with quick stop-losses but faces whipsaws in ranges (filters mitigate but don’t eliminate noise). Share your symbol and timeframe for tailored parameters.
Pine Script® strategy
by bitcoinwolf1130
Hilly's Reversal Scalping Strategy - 5 Min CandlesHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Set Timeframe: Ensure the chart is set to 5-minute candles (TradingView: right-click chart > Timeframe > 5 Minutes). Check for Errors: Verify no errors appear in the Pine Editor console. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” labels and triangle-up arrows for bullish reversals (e.g., bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom in a downtrend). Red “SELL” labels and triangle-down arrows for bearish reversals (e.g., bearish engulfing, shooting star, doji, evening star, three black crows, double top in an uptrend). Green/red background highlights for signal candles. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds. Troubleshooting If Errors Occur: If any errors appear in TradingView’s Pine Editor console (e.g., “Syntax error” or “Invalid argument”), please share the exact error messages to diagnose environment-specific issues. Signal Overload: If too many signals appear, increase patternLookback to 15 or set volFilter = volume > volMa * 2.0. Missed Signals: If signals are too rare, set useVolumeFilter=false or reduce patternLookback to 5. Additional Features: If you need alerts, other indicators (e.g., EMA, RSI), or dynamic arrow sizing, please specify. Note that dynamic sizing caused errors previously, so I’ve kept size=size.normal.
Pine Script® strategy
by Hilly1976
Hilly 3.0 Advanced Crypto Scalping Strategy - 1 & 5 Min ChartsHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Check for Errors: Verify no errors appear in the Pine Editor console. The script uses Pine Script v5 (@version=5). Select Timeframe: 1-Minute Chart: Use defaults (emaFastLen=7, emaSlowLen=14, rsiLen=10, rsiOverbought=80, rsiOversold=20, slPerc=0.5, tpPerc=1.0, useCandlePatterns=false, patternLookback=10). 5-Minute Chart: Adjust to emaFastLen=9, emaSlowLen=21, rsiLen=14, rsiOverbought=75, rsiOversold=25, slPerc=0.8, tpPerc=1.5, useCandlePatterns=true, patternLookback=10. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” or “EMA BUY” labels and triangle-up arrows below candles for bullish signals (EMA crossovers, bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom). Red “SELL” or “EMA SELL” labels and triangle-down arrows above candles for bearish signals (EMA crossovers, bearish engulfing, shooting star, doji, evening star, three black crows, double top). Green/red background highlights for signal candles. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
Pine Script® strategy
by Hilly1976
RedFlagCounter-trend strategy Condition to open a long position: Buys if the price drops by a specified percentage from the previous candle’s close. Only one purchase can be made within a single candle. Condition to close a position: Places a separate individual closing limit order for each purchase, or uses one common take-profit order for the whole position. ⚠️ Attention : Stop-loss is not implemented in the current first version of the strategy. Options description: Drop_percent , % — Percentage drop in price from the From point From — The reference point on the closed candle from which the Drop_percent is calculated (Open, Close, High, Low) Tp , % — Take-profit level as a percentage Count — Number of allowed additional purchases (scaling in) Each_tp — Mode switch: True — a separate take-profit is placed for each purchase False — one common take-profit is placed based on the average entry price of the position
Pine Script® strategy
by hamster-bot
2
Continuous Accumulation Strategy [DCA] v9🇬🇧 English: Continuous Accumulation Strategy v9.4 This script is a full-featured strategy designed to backtest the "Buy the Dip" or "Dollar Cost Averaging" (DCA) philosophy. Its core feature is the Dynamic Peak Detection logic, which solves the "lock-in" problem of previous versions. Instead of getting stuck on an old high, the strategy constantly adapts to the market by referencing the most recent peak. Key Features * Dynamic Peak Detection: You define the "Peak Lookback Period." For example, on a Daily chart, setting it to `5` references the peak of the last business week. * Stable Order Management: The strategy consistently uses a fixed cash amount (e.g., $100) for each entry, which prevents any runtime errors related to negative equity. * Publishing-Ready: To meet TradingView's requirement for a backtest report, this strategy executes a symbolic, one-time "dummy trade" (one buy and one sell) at the very beginning of the test period. This first trade should be ignored when analyzing performance , as its only purpose is to enable publication. How It Works The main logic follows an adaptive cycle: Find Dynamic Peak -> Wait for a Drop -> Buy on Crossover -> Repeat. 1. Finds the Dynamic Peak: On every bar, it identifies the highest price within your defined lookback period. 2. Calculates the Drop: It constantly calculates the percentage drop from this moving peak. 3. Executes an Entry: The moment the price crosses below a target drop percentage, it executes a buy order. 4. Continuously Adapts: As the price moves, the dynamic peak is constantly updated, meaning the strategy never gets locked and is always ready for the next opportunity. How to Use This Strategy * Focus on the Strategy Tester: After adding it to the chart, analyze the Equity Curve, Net Profit, and Max Drawdown to see how this accumulation philosophy would have performed on your favorite asset. * Optimize Parameters: Adjust the "Peak Lookback Period" and "Drop Percentages" to fit the volatility of the asset you are testing. This is a tool for testing and analyzing a "buy and accumulate" philosophy. Its main logic does not generate sell signals.
Pine Script® strategy
by bbbirkan
1
3-Level DCA Buy Strategy🎯 3-Level DCA Buy Strategy - Smart Dollar Cost Averaging Professional DCA strategy that systematically accumulates positions during market dips. Enhanced with daily trend analysis for intelligent accumulation. 🚀 Key Features - 3-Level Buying System: Automatic purchases at 5%, 10%, 15% drops from cycle highs - Daily Trend Analysis: 1-day timeframe trend confirmation - Smart Peak Detection: 100-period lookback for meaningful peaks - Volume Filter: Optional volume confirmation system - USD-Based Positions: Fixed dollar amounts per level - Never Sells: Pure accumulation philosophy (buy-only) 📊 How It Works 1. Peak Identification: Detects highest price in last 100 periods 2. Daily Trend Check: Confirms price above 50 SMA on 1D timeframe 3. Drop Tracking: Calculates percentage drops from cycle high 4. Systematic Buying: Executes predetermined amounts at each level 5. Cycle Reset: Renews buy permissions when new peaks form ⚙️ Default Settings - Buy Levels: 5%, 10%, 15% drops - Position Sizes: $100, $150, $200 - Peak Period: 100 bars - Higher Timeframe: 1 Day (1D) - Pyramiding: 500 order capacity 🎨 Visual Elements - Orange Circles: Mark cycle highs - Colored Lines: Green/Blue/Red buy levels - Triangle Signals: Buy point indicators - Live Panel: Real-time statistics - Background Colors: Trend and drop level indicators 🔔 Alert System - Instant notifications for each buy level - New peak detection alerts - Major drop warnings (>20%) - Daily trend change notifications 💡 Ideal Use Cases - Crypto Accumulation: Bitcoin, Ethereum and major altcoins - Stock DCA: Long-term portfolio building - Volatile Markets: Capitalizing on price fluctuations - Emotional Trading Prevention: Automated and disciplined buying 📈 Strategy Logic This strategy follows the "buy the dip" philosophy. It waits during market rises and systematically builds positions during declines. Only buys when daily trend is bullish, providing protection during major bear markets. ⚠️ Important Notes - Buy-only strategy - never sells positions - Requires sufficient capital for multiple entries - Most effective in trending and volatile markets - Always backtest before live trading - Risk management is your responsibility 🛠️ Customization Options All parameters are fully customizable: drop percentages, position amounts, timeframes, visual elements and more. Suitable for both beginner and experienced investors. 🎯 Publishing Feature Note: Strategy includes temporary 1-day sell cycle for TradingView publishing requirements. This feature can be disabled for normal DCA mode operation. ⭐ If you find this strategy helpful, please like and follow! Visit the profile for more trading tools.
Pine Script® strategy
by bbbirkan
1
Tristan's Box: Pre-Market Range Breakout + RetestMarket Context: This is designed for U.S. stocks, focusing on pre-market price action (4:00–9:30 AM ET) to identify key support/resistance levels before the regular session opens. Built for 1 min and 5 min timelines, and is intended for day trading / scalping. Core Idea: Pre-market range (high/low) often acts as a magnet for price during regular hours. The first breakout outside this range signals potential strong momentum in that direction. Retest of the breakout level confirms whether the breakout is valid, avoiding false moves. Step-by-Step Logic: Pre-Market Range Identification: Track high and low from 4:00–9:30 AM ET. Draw a box spanning this range for visual reference and calculation. Breakout Detection: When the first candle closes above the pre-market high → long breakout. When the first candle closes below the pre-market low → short breakout. The first breakout candle is highlighted with a “YOLO” label for visual confirmation. Retest Confirmation: Identify the first candle whose wick touches the pre-market box (high touches top for short, low touches bottom for long). Wait for the next candle: if it closes outside the box, it confirms the breakout. Entry Execution: Long entry: on the confirming candle after a wick-touch above the pre-market high. Short entry: on the confirming candle after a wick-touch below the pre-market low. Only the first valid entry per direction per day is taken. Visuals & Alerts: Box represents pre-market high/low. Top/bottom box border lines show the pre-market high / low levels cleanly. BUY/SELL markers are pinned to the confirming candle. Added a "YOLO" marker on breakout candle. Alert conditions trigger when a breakout is confirmed by the retest. Strategy Type: Momentum breakout strategy with confirmation retest. Combines pre-market structure and risk-managed entries. Designed to filter false breakouts by requiring confirmation on the candle after the wick-touch. In short, it’s a pre-market breakout momentum strategy: it uses the pre-market high/low as reference, waits for a breakout, and then enters only after a confirmation retest, reducing the chance of entering on a false spike. Always use good risk management.
Pine Script® strategy
by OhRayOhRay
2
Penguin Volatility State StrategyThe Penguin Volatility State Strategy is a comprehensive technical analysis framework designed to identify the underlying "state" or "regime" of the market. Instead of just providing simple buy or sell signals, its primary goal is to classify the market into one of four distinct states by combining trend, momentum, and volatility analysis. The core idea is to trade only when these three elements align, focusing on periods of volatility expansion (a "squeeze breakout") that occur in the direction of a confirmed trend and are supported by strong momentum. Key Components The strategy is built upon two main engines The Volatility Engine (Bollinger Bands vs. Keltner Channels) This engine detects periods of rapidly increasing volatility. It measures the percentage difference (diff) between the upper bands of Bollinger Bands (which are based on standard deviation) and Keltner Channels (based on Average True Range). During a volatility "squeeze," both bands are close. When price breaks out, the Bollinger Band expands much faster than the Keltner Channel, causing the diff value to become positive. A positive diff signals a volatility breakout, which is the moment the strategy becomes active. The Trend & Momentum Engine (Multi-EMA System) This engine determines the market's direction and strength. It uses: A Fast EMA (e.g., 12-period) and a Slow EMA (e.g., 26-period): The crossover of these two moving averages defines the primary, underlying trend (similar to a MACD). An Ultra-Fast EMA (e.g., 2-period of ohlc4): This is used to measure the immediate, short-term momentum of the price. The Four Market States By combining the Trend and Momentum engines, the strategy categorizes the market into four visually distinct states, represented by the chart's background color. This is the most crucial aspect of the system. 💚 Green State: Strong Bullish The primary trend is UP (Fast EMA > Slow EMA) AND the immediate momentum is STRONG (Price > Fast EMA). Interpretation: This represents a healthy, robust uptrend where both the underlying trend and short-term price action are aligned. It is considered the safest condition for taking long positions. ❤️ Red State: Strong Bearish Condition: The primary trend is DOWN (Fast EMA < Slow EMA) AND the immediate momentum is WEAK (Price < Fast EMA). Interpretation: This represents a strong, confirmed downtrend. It is considered the safest condition for taking short positions. 💛 Yellow State: Weakening Bullish / Pullback Condition: The primary trend is UP (Fast EMA > Slow EMA) BUT the immediate momentum is WEAK (Price < Fast EMA). Interpretation: This is a critical warning signal for bulls. While the larger trend is still up, the short-term price action is showing weakness. This could be a minor pullback, a period of consolidation, or the very beginning of a trend reversal. Caution is advised. 💙 Blue State: Weakening Bearish / Relief Rally Condition: The primary trend is DOWN (Fast EMA < Slow EMA) BUT the immediate momentum is STRONG (Price > Fast EMA). Interpretation: This signals that a downtrend is losing steam. It often represents a short-covering rally (a "bear market rally") or the first potential sign of a market bottom. Bears should be cautious and consider taking profits. How the Strategy Functions The strategy uses these four states as its foundation for making trading decisions. The entry and exit arrows (Long, Short, Close) are generated based on a set of rules that can be customized by the user. For instance, a trader can configure the strategy to Only take long trades during the Green State. Require a confirmed volatility breakout (diff > 0) before entering a trade. Use the "RSI on Diff" indicator to ensure that the breakout is supported by accelerating momentum. Summary In essence, the Penguin Volatility State Strategy provides a powerful "dashboard" for viewing the market. It moves beyond simple indicators to offer a contextual understanding of price action. By waiting for the alignment of Trend (the State), Volatility (the Breakout), and Momentum (the Acceleration), it helps traders to identify higher-probability setups and, just as importantly, to know when it is better to stay out of the market. License / disclaimer © waranyu.trkm — MIT License. Educational use only; not financial advice.
Pine Script® strategy
by waranyutrkm
Dynamic Swing Anchored VWAP STRAT (Zeiierman/PineIndicators)Dynamic Swing Anchored VWAP STRATEGY — Zeiierman × PineIndicators (Pine Script v6) A pivot-to-pivot Anchored VWAP strategy that adapts to volatility, enters long on bullish structure, and closes on bearish structure. Built for TradingView in Pine Script v6. Full credits to zeiierman. Repainting notice: The original indicator logic is repainting. Swing labels (HH/HL/LH/LL) are finalized after enough bars have printed, so labels do not occur in real time. It is not possible to execute at historical label points. Treat results as educational and validate with Bar Replay and paper trading before considering any discretionary use. Concept The script identifies swing highs/lows over a user-defined lookback ( Swing Period ). When structure flips (most recent swing low is newer than the most recent swing high, or vice versa), a new regime begins. At each confirmed pivot, a fresh Anchored VWAP segment is started and updated bar-by-bar using an EWMA-style decay on price×volume and volume. Responsiveness is controlled by Adaptive Price Tracking (APT) . Optionally, APT auto-adjusts with an ATR ratio so that high volatility accelerates responsiveness and low volatility smooths it. Longs are opened/held in bullish regimes and closed when the regime turns bearish. No short positions are taken by design. How it works (under the hood) Swing detection: Uses ta.highestbars / ta.lowestbars over prd to update swing highs (ph) and lows (pl), plus their bar indices (phL, plL). Regime logic: If phL > plL → bullish regime; else → bearish regime. A change in this condition triggers a re-anchor of the VWAP at the newest pivot. Adaptive VWAP math: APT is converted to an exponential decay factor ( alphaFromAPT ), then applied to running sums of price×volume and volume, producing the current VWAP estimate. Rendering: Each pivot-anchored VWAP segment is drawn as a polyline and color-coded by regime. Optional structure labels (HH/HL/LH/LL) annotate the swing character. Orders: On bullish flips, strategy.entry("L") opens/maintains a long; on bearish flips, strategy.close("L") exits. Inputs & controls Swing Period (prd) — Higher values identify larger, slower swings; lower values catch more frequent pivots but add noise. Adaptive Price Tracking (APT) — Governs the VWAP’s “half-life.” Smaller APT → faster/closer to price; larger APT → smoother/stabler. Adapt APT by ATR ratio — When enabled, APT scales with volatility so the VWAP speeds up in turbulent markets and slows down in quiet markets. Volatility Bias — Tunes the strength of APT’s response to volatility (above 1 = stronger effect; below 1 = milder). Style settings — Colors for swing labels and VWAP segments, plus line width for visibility. Trade logic summary Entry: Long when the swing structure turns bullish (latest swing low is more recent than the last swing high). Exit: Close the long when structure turns bearish. Position size: qty = strategy.equity / close × 5 (dynamic sizing; scales with account equity and instrument price). Consider reducing the multiplier for a more conservative profile. Recommended workflow Apply to instruments with reliable volume (equities, futures, crypto; FX tick volume can work but varies by broker). Start on your preferred timeframe. Intraday often benefits from smaller APT (more reactive); higher timeframes may prefer larger APT (smoother). Begin with defaults ( prd=50, APT=20 ); then toggle “Adapt by ATR” and vary Volatility Bias to observe how segments tighten/loosen. Use Bar Replay to watch how pivots confirm and how the strategy re-anchors VWAP at those confirmations. Layer your own risk rules (stops/targets, max position cap, session filters) before any discretionary use. Practical tips Context filter: Consider combining with a higher-timeframe bias (e.g., daily trend) and using this strategy as an entry timing layer. First pivot preference: Some traders prefer only the first bullish pivot after a bearish regime (and vice versa) to reduce whipsaw in choppy ranges. Deviations: You can add VWAP deviation bands to pre-plan partial exits or re-entries on mean-reversion pulls. Sessions: Session-based filters (RTH vs. ETH) can materially change behavior on futures and equities. Extending the script (ideas) Add stops/targets (e.g., ATR stop below last swing low; partial profits at k×VWAP deviation). Introduce mirrored short logic for two-sided testing. Include alert conditions for regime flips or for price-VWAP interactions. Incorporate HTF confirmation (e.g., only long when daily VWAP slope ≥ 0). Throttle entries (e.g., once per regime flip) to avoid over-trading in ranges. Known limitations Repainting: Swing labels and pivot confirmations depend on future bars; historical labels can look “perfect.” Treat them as annotations, not executable signals. Execution realism: Strategy includes commission and slippage fields, yet actual fills differ by venue/liquidity. No guarantees: Past behavior does not imply future results. This publication is for research/education only and not financial advice. Defaults (backtest environment) Initial capital: 10,000 Commission value: 0.01 Slippage: 1 Overlay: true Max bars back: 5000; Max labels/polylines set for deep swing histories Quick checklist Add to chart and verify that the instrument has volume. Use defaults, then tune APT and Volatility Bias with/without ATR adaptation. Observe how each pivot re-anchors VWAP and how regime flips drive entries/exits. Paper trade across several symbols/timeframes before any discretionary decisions. Attribution & license Original indicator concept and logic: Zeiierman — please credit the author. Strategy wrapper and publication: PineIndicators . License: CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike). Respect the license when forking or publishing derivatives.
Pine Script® strategy
by PineIndicators
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