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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
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
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
2
VWAP Trend Strategy (Intraday) [KedarArc Quant]Description: An intraday strategy that anchors to VWAP and only trades when a local EMA trend gate and a volume participation gate are both open. It offers two entry templates—Cross and Cross-and-Retest—with an optional Momentum Exception for impulsive moves. Exits combine a TrendBreak (structure flips) with an ATR emergency stop (risk cap). Updates will be published under this script. Why this merits a new script This is not a simple “VWAP + EMA + ATR” overlay. The components are sequenced as gates and branches that *change the trade set* in ways a visual mashup cannot: 1. Trend Gate first (EMA fast vs. slow on the entry timeframe) Counter-trend VWAP crosses are suppressed. Many VWAP scripts fire on every cross; here, no entry logic even evaluates unless the trend gate is open. 2. Participation Gate second (Volume SMA × multiplier) This gate filters thin liquidity moves around VWAP. Without it, the same visuals would produce materially more false triggers. 3. Branching entries with structure awareness * Cross: Immediate VWAP cross in the trend direction. * Cross-and-Retest: Requires a revisit to VWAP vicinity within a lookback window (recent low near VWAP for longs; recent high for shorts). This explicitly removes first-touch fakeouts that a plain cross takes. * Momentum Exception (optional): A quantified body% + volume condition can bypass the retest when flow is impulsive—intentional risk-timing, not “just another indicator.” 4. Dual exits that reference both anchor and structure * TrendBreak: Close only when price loses VWAP and EMA alignment flips. * ATR stop: Placed at entry to cap tail risk. These exits complement the entry structure rather than being generic stop/target add-ons. What it does * Trades the session’s fair value anchor (VWAP), but only with local-trend agreement (EMA fast vs. slow) and sufficient participation (volume filter). * Lets you pick Cross or Cross-and-Retest entries; optionally allow a fast Momentum Exception when candles expand with volume. * Manages positions with a structure exit (TrendBreak) and an emergency ATR stop from entry. How it works (concepts & calculations) * VWAP (session anchor): Standard VWAP of the active session; entries reference the cross and the retest proximity to VWAP. * Trend gate: Long context only if `EMA(fast) > EMA(slow)`; short only if `EMA(fast) < EMA(slow)`. A *gate*, not a trigger—entries aren’t considered unless this is true. * Participation (volume) gate: Require `volume > SMA(volume, volLen) × volMult`. Screens out low-participation wiggles around VWAP. Entries: * Cross: Price crosses VWAP in the trend direction while volume gate is open. * Cross-and-Retest: After crossing, price revisits VWAP vicinity within `lookback` (recent *low near VWAP* for longs; recent *high near VWAP* for shorts). * Momentum Exception (optional): If body% (|close−open| / range) and volume exceed thresholds, enter without waiting for the retest. Exits: * TrendBreak (structure): * Longs close when `price < VWAP` and `EMA(fast) < EMA(slow)` (mirror for shorts). * ATR stop (risk): * From entry: `stop = entry ± ATR(atrLen) × atrMult`. How to use it ? 1. Select market & timeframe: Intraday on liquid symbols (equities, futures, crypto). 2. Pick entry mode: * Start with Cross-and-Retest for fewer, more selective signals. * Enable Momentum Exception if strong moves leave without retesting. 3. Tune guards: * Raise `volMult` to ignore thin periods; lower it for more activity. * Adjust `lookback` if retests come late/early on your symbol. 4. Risk: * `atrLen` and `atrMult` set the emergency stop distance. 5. Read results per session: Optional panel (if enabled) summarizes Net-R, Win%, and PF for today’s session to evaluate behavior regime by regime. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Pine Script® strategy
by kedarcquant
AMF PG Strategy AMF Command Center Strategy (Praetorian Guard) The AMF PG Strategy (Praetorian Guard) is an advanced trading system built to adapt seamlessly across market conditions. Its unique structure balances precision entries with intelligent protection, giving traders confidence in both trending and volatile environments. Key highlights include: Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts and generates a powerful tracking line for clearer long and short opportunities. Praetorian Guard – A built-in protective shield that activates in extreme conditions, helping stabilize performance when markets become turbulent. Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments. Clarity – Clean visual signals and color-coded tracking for instant decision-making. This strategy was designed for traders who want more than just entries and exits — it offers a command center for disciplined, adaptive, and resilient trading.
Pine Script® strategy
by blntduman
1
EMA inFusion Pro - Multiple SourcesEMA Fusion Pro: Dynamic Trend & Momentum Strategy with Three Exit Modes EMA Fusion Pro is a highly customizable, multi-exit trend-following strategy designed for traders who value both precision and flexibility. By leveraging exponential moving averages (EMA), average directional index (ADX), and volume analysis, this strategy aims to capture trending market moves while offering three distinct exit modes for optimal risk management across varying market conditions. Strategy Overview This strategy systematically identifies potential entry points using a moving average crossover with highly configurable data sources (including price, volume, rate of change, or their Heikin Ashi versions) and filters signal quality with ADX trend strength and volume spikes. Each trade is managed with one of three advanced exit methodologies—reverse signal, ATR-based stop/take profit, or fixed percentage—giving you the control to adapt your risk profile to different market regimes. Key Features Customizable EMA Source: Calculate the core trend-filtering EMA from price (default), volume, rate of change, or their Heikin Ashi counterparts for unique market perspectives. Trend Filter with ADX: Confirm entries only when the trend is strong, as measured by the user-adjustable ADX threshold. Volume Spike Confirmation: Optional filter to only take trades with above-average volume activity, reducing false signals. Three Exit Modes: Reverse Signal: Exit trades when a new, opposite entry signal occurs. ATR-Based Stop/Take Profit: Dynamic risk management using multiples of the average true range (ATR) for both take profit and stop loss. Percent-Based Stop/Take Profit: Fixed-percentage risk management with user-defined thresholds. Visual Annotations: Signal markers, EMA line color-coded by source, trend background coloring, and optional ATR/percent-based TP/SL levels. Info Panel: Real-time display of all core indicators, current trading mode, exit parameters, and position status for quick oversight. How It Works Entry Logic: A crossover signal (above/below the EMA) triggers a new entry, but only if both ADX trend strength and (optionally) volume spike conditions are met. Exit Logic: Three selectable modes allow you to exit trades on reverse signals, at a dynamic ATR-based profit or loss, or at a fixed percentage gain/loss. Flexible Data Analysis: The EMA source can be chosen from six options—standard price, volume, rate of change, or their Heikin Ashi variants—allowing experimentation with different market dimensions. Risk Management: All exits are precisely controlled, either by the next opposing signal, by volatility-adjusted levels, or by fixed risk/reward ratios. Backtest & Optimization: The strategy is fully backtestable within TradingView’s Strategy Tester, with adjustable parameters for optimization. Customization & Usage Indicator Source: Select your preferred data type for EMA calculation, opening the door to creative strategy variations (e.g., volume momentum, pure price trend, rate of change divergence). Filter Toggles: Enable/disable ADX and volume filters as desired—useful for different market environments. Exit Mode Selection: Switch between reverse, ATR, or percent-based exits with a single parameter—ideal for adapting to ranging vs. trending markets. Visual Clarity: The EMA line color reflects its underlying source, and the info panel summarizes all critical values for easy monitoring. Who Should Use This Strategy? Trend Followers seeking to ride strong moves with multiple exit options. Experienced Traders who want to experiment with different data types (volume, momentum, Heikin Ashi) for trend analysis. Algorithmic Traders looking for a robust, flexible base to build upon with their own ideas. Getting Started Apply the script to your chart and review default settings. Customize parameters—EMA length, ADX threshold, volume settings, exit type—as desired. Backtest on multiple instruments and timeframes to evaluate performance. Optimize filters, exit rules, and risk parameters for your preferred trading style. Monitor with the real-time info panel and trade alerts. Disclaimer This script is for educational and entertainment purposes only. It is not financial advice. Past performance is not indicative of future results. Always conduct thorough testing and consider your risk tolerance before trading real capital. — Happy Trading — Feel free to adapt, share, and contribute to this open-source strategy!
Pine Script® strategy
by fenyesk
1
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets. 🎯 How It Works: The strategy defines a trading range at the beginning of the trading session based on a selected number of candles. It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close. It filters signals using the SuperTrend indicator for trend confirmation. It utilizes trading volume to filter out false breakouts. ⚡ Strategy Features 📈 Entry Points: Long: Candle close above the upper range boundary + SuperTrend confirmation Short: Candle close below the lower range boundary + SuperTrend confirmation 🛡️ Risk Management: Stop-Loss: Set at the opposite range boundary. Take-Profit: Calculated based on a risk/reward ratio (3:1 by default). Position Size: 10 contracts (configurable). ⚠️ IMPORTANT SETTINGS 🕐 Time Parameters: Set the correct time and time zone! ❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session. 📊 This strategy is optimized for trading TESLA stock! Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session. 📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant. ⚠️ For other assets, the following is required: Testing and parameter optimization Adjustment of time intervals and the number of candles forming the range Calibration of stop-loss and take-profit levels ⚠️ Limitations and Drawbacks 🔗 Automation Constraints: ❌ Cannot be directly connected via Webhook to CFD brokers! Additional IT solutions are required for automation, thus only manual trading based on signals is possible. 📉 Risk Management: Do not risk more than 2-3% of your account per trade. Test on historical data before live use. Start with a demo account. 💪 Strategy Advantages ✅ Combined approach – multiple signal filters ✅ Clear entry and exit rules ✅ Visual signals on the chart ✅ Volume-based false breakout filtering ✅ Automatic position management 🎯 Usage Recommendations Always test the strategy on historical data. Start with small trading volumes. Ensure time settings are correct. Adapt parameters to current market volatility. Use only for stocks – futures and Forex require adaptation. 📚 Suitable Timeframes - M1-M15 Only highly liquid stocks 🍀 I wish all subscribers good luck in trading and steady profits! 📈 May your charts move in the right direction! ⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
Pine Script® strategy
by Script_Algo
FlowStateTrader FlowState Trader - Advanced Time-Filtered Strategy ## Overview FlowState Trader is a sophisticated algorithmic trading strategy that combines precision entry signals with intelligent time-based filtering and adaptive risk management. Built for traders seeking to achieve their optimal performance state, FlowState identifies high-probability trading opportunities within user-defined time windows while employing dynamic trailing stops and partial position management. ## Core Strategy Philosophy FlowState Trader operates on the principle that peak trading performance occurs when three elements align: **Focus** (precise entry signals), **Flow** (optimal time windows), and **State** (intelligent position management). This strategy excels at finding reversal opportunities at key support and resistance levels while filtering out suboptimal trading periods to keep traders in their optimal flow state. ## Key Features ### 🎯 Focus Entry System **Support/Resistance Zone Trading**: - Dynamic identification of key price levels using configurable lookback periods - Entry signals triggered when price interacts with these critical zones - Volume confirmation ensures genuine breakout/reversal momentum - Trend filter alignment prevents counter-trend disasters **Entry Conditions**: - **Long Signals**: Price closes above support buffer, touches support level, with above-average volume - **Short Signals**: Price closes below resistance buffer, touches resistance level, with above-average volume - Optional trend filter using EMA or SMA for directional bias confirmation ### ⏰ FlowState Time Filtering System **Comprehensive Time Controls**: - **12-Hour Format Trading Windows**: User-friendly AM/PM time selection - **Multi-Timezone Support**: UTC, EST, PST, CST with automatic conversion - **Day-of-Week Filtering**: Trade only weekdays, weekends, or both - **Lunch Hour Avoidance**: Automatically skips low-volume lunch periods (12-1 PM) - **Visual Time Indicators**: Background coloring shows active/inactive trading periods **Smart Time Features**: - Handles overnight trading sessions seamlessly - Prevents trades during historically poor performance periods - Customizable trading hours for different market sessions - Real-time trading window status in dashboard ### 🛡️ Adaptive Risk Management **Multi-Level Take Profit System**: - **TP1**: First profit target with optional partial position closure - **TP2**: Final profit target for remaining position - **Flexible Scaling**: Choose number of contracts to close at each level **Dynamic Trailing Stop Technology**: - **Three Operating Modes**: - **Conservative**: Earlier activation, tighter trailing (protect profits) - **Balanced**: Optimal risk/reward balance (recommended) - **Aggressive**: Later activation, wider trailing (let winners run) - **ATR-Based Calculations**: Adapts to current market volatility - **Automatic Activation**: Engages when position reaches profitability threshold ### 📊 Intelligent Position Sizing **Contract-Based Management**: - Configurable entry quantity (1-1000 contracts) - Partial close quantities for profit-taking - Clear position tracking and P&L monitoring - Real-time position status updates ### 🎨 Professional Visualization **Enhanced Chart Elements**: - **Entry Zone Highlighting**: Clear visual identification of trading opportunities - **Dynamic Risk/Reward Lines**: Real-time TP and SL levels with price labels - **Trailing Stop Visualization**: Live tracking of adaptive stop levels - **Support/Resistance Lines**: Key level identification - **Time Window Background**: Visual confirmation of active trading periods **Dual Dashboard System**: - **Strategy Dashboard**: Real-time position info, settings status, and current levels - **Performance Scorecard**: Live P&L tracking, win rates, and trade statistics - **Customizable Sizing**: Small, Medium, or Large display options ### ⚙️ Comprehensive Customization **Core Strategy Settings**: - **Lookback Period**: Support/resistance calculation period (5-100 bars) - **ATR Configuration**: Period and multipliers for stops/targets - **Reward-to-Risk Ratios**: Customizable profit target calculations - **Trend Filter Options**: EMA/SMA selection with adjustable periods **Time Filter Controls**: - **Trading Hours**: Start/end times in 12-hour format - **Timezone Selection**: Four major timezone options - **Day Restrictions**: Weekend-only, weekday-only, or unrestricted - **Session Management**: Lunch hour avoidance and custom periods **Risk Management Options**: - **Trailing Stop Modes**: Conservative/Balanced/Aggressive presets - **Partial Close Settings**: Enable/disable with custom quantities - **Alert System**: Comprehensive notifications for all trade events ### 📈 Performance Tracking **Real-Time Metrics**: - Net profit/loss calculation - Win rate percentage - Profit factor analysis - Maximum drawdown tracking - Total trade count and breakdown - Current position P&L **Trade Analytics**: - Winner/loser ratio tracking - Real-time performance scorecard - Strategy effectiveness monitoring - Risk-adjusted return metrics ### 🔔 Alert System **Comprehensive Notifications**: - Entry signal alerts with price and quantity - Take profit level hits (TP1 and TP2) - Stop loss activations - Trailing stop engagements - Position closure notifications ## Strategy Logic Deep Dive ### Entry Signal Generation The strategy identifies high-probability reversal points by combining multiple confirmation factors: 1. **Price Action**: Looks for price interaction with key support/resistance levels 2. **Volume Confirmation**: Ensures sufficient market interest and liquidity 3. **Trend Alignment**: Optional filter prevents counter-trend positions 4. **Time Validation**: Only trades during user-defined optimal periods 5. **Zone Analysis**: Entry occurs within calculated buffer zones around key levels ### Risk Management Philosophy FlowState Trader employs a three-tier risk management approach: 1. **Initial Protection**: ATR-based stop losses set at strategy entry 2. **Profit Preservation**: Trailing stops activate once position becomes profitable 3. **Scaled Exit**: Partial profit-taking allows for both security and potential ### Time-Based Edge The time filtering system recognizes that not all trading hours are equal: - Avoids low-volume, high-spread periods - Focuses on optimal liquidity windows - Prevents trading during news events (lunch hours) - Allows customization for different market sessions ## Best Practices and Optimization ### Recommended Settings **For Scalping (1-5 minute charts)**: - Lookback Period: 10-20 - ATR Period: 14 - Trailing Stop: Conservative mode - Time Filter: Major session hours only **For Day Trading (15-60 minute charts)**: - Lookback Period: 20-30 - ATR Period: 14-21 - Trailing Stop: Balanced mode - Time Filter: Extended trading hours **For Swing Trading (4H+ charts)**: - Lookback Period: 30-50 - ATR Period: 21+ - Trailing Stop: Aggressive mode - Time Filter: Disabled or very broad ### Market Compatibility - **Forex**: Excellent for major pairs during active sessions - **Stocks**: Ideal for liquid stocks during market hours - **Futures**: Perfect for index and commodity futures - **Crypto**: Effective on major cryptocurrencies (24/7 capability) ### Risk Considerations - **Market Conditions**: Performance varies with volatility regimes - **Timeframe Selection**: Lower timeframes require tighter risk management - **Position Sizing**: Never risk more than 1-2% of account per trade - **Backtesting**: Always test on historical data before live implementation ## Educational Value FlowState serves as an excellent learning tool for: - Understanding support/resistance trading - Learning proper time-based filtering - Mastering trailing stop techniques - Developing systematic trading approaches - Risk management best practices ## Disclaimer This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Users should thoroughly backtest the strategy and understand all risks before live trading. Always use proper position sizing and never risk more than you can afford to lose. --- *FlowState Trader represents the evolution of systematic trading - combining classical technical analysis with modern risk management and intelligent time filtering to help traders achieve their optimal performance state through systematic, disciplined execution.*
Pine Script® strategy
by TradeManager_PRO
1
Nifty Power -> Nifty 50 chart + EMA of RSI + avg volume strategyThis strategy works in 1 hour candle in Nifty 50 chart. In this strategy, upward trade takes place when there is a crossover of RSI 15 on EMA50 of RSI 15 and volume is greater than volume based EMA21. On the other hand, lower trade takes place when RSI 15 is less than EMA50 of RSI 15. Please note that there is no stop loss given and also that the trade will reverse as per the trend. Sometimes on somedays, there will be no trades. Also please note that this is an Intraday strategy. The trade if taken closes on 15:15 in Nifty 50. This strategy can be used for swing trading. Some pine script code such as supertrend and ema21 of close is redundant. Try not to get confused as only EMA50 of RSI 15 is used and EMA21 of volume is used. I am using built-in pinescript indicators and there is no special calculation done in the pine script code. I have taken numbars variable to count number of candles. For example, if you have 30 minuite chart then numbars variable will count the intraday candles accordingly and the same for 1 hour candles.
Pine Script® strategy
by Archer_Trade
[Stratégia] VWAP Mean Magnet v9 (Simple Alert)This strategy is specifically designed for a ranging (sideways-moving) Bitcoin market. A trade is only opened and signaled on the chart if all three of the following conditions are met simultaneously at the close of a candle: Zone Entry The price must cross into the signal zone: the red band for a Short (sell) position, or the green band for a Long (buy) position. RSI Confirmation The RSI indicator must also confirm the signal. For a Short, it must go above 65 (overbought condition). For a Long, it must fall below 25 (oversold condition). Volume Filter The volume on the entry candle cannot be excessively high. This safety filter is designed to prevent trades during risky, high-momentum breakouts.
Pine Script® strategy
by GaborNemeth
Game Theory Trading StrategyGame Theory Trading Strategy: Explanation and Working Logic This Pine Script (version 5) code implements a trading strategy named "Game Theory Trading Strategy" in TradingView. Unlike the previous indicator, this is a full-fledged strategy with automated entry/exit rules, risk management, and backtesting capabilities. It uses Game Theory principles to analyze market behavior, focusing on herd behavior, institutional flows, liquidity traps, and Nash equilibrium to generate buy (long) and sell (short) signals. Below, I'll explain the strategy's purpose, working logic, key components, and usage tips in detail. 1. General Description Purpose: The strategy identifies high-probability trading opportunities by combining Game Theory concepts (herd behavior, contrarian signals, Nash equilibrium) with technical analysis (RSI, volume, momentum). It aims to exploit market inefficiencies caused by retail herd behavior, institutional flows, and liquidity traps. The strategy is designed for automated trading with defined risk management (stop-loss/take-profit) and position sizing based on market conditions. Key Features: Herd Behavior Detection: Identifies retail panic buying/selling using RSI and volume spikes. Liquidity Traps: Detects stop-loss hunting zones where price breaks recent highs/lows but reverses. Institutional Flow Analysis: Tracks high-volume institutional activity via Accumulation/Distribution and volume spikes. Nash Equilibrium: Uses statistical price bands to assess whether the market is in equilibrium or deviated (overbought/oversold). Risk Management: Configurable stop-loss (SL) and take-profit (TP) percentages, dynamic position sizing based on Game Theory (minimax principle). Visualization: Displays Nash bands, signals, background colors, and two tables (Game Theory status and backtest results). Backtesting: Tracks performance metrics like win rate, profit factor, max drawdown, and Sharpe ratio. Strategy Settings: Initial capital: $10,000. Pyramiding: Up to 3 positions. Position size: 10% of equity (default_qty_value=10). Configurable inputs for RSI, volume, liquidity, institutional flow, Nash equilibrium, and risk management. Warning: This is a strategy, not just an indicator. It executes trades automatically in TradingView's Strategy Tester. Always backtest thoroughly and use proper risk management before live trading. 2. Working Logic (Step by Step) The strategy processes each bar (candle) to generate signals, manage positions, and update performance metrics. Here's how it works: a. Input Parameters The inputs are grouped for clarity: Herd Behavior (🐑): RSI Period (14): For overbought/oversold detection. Volume MA Period (20): To calculate average volume for spike detection. Herd Threshold (2.0): Volume multiplier for detecting herd activity. Liquidity Analysis (💧): Liquidity Lookback (50): Bars to check for recent highs/lows. Liquidity Sensitivity (1.5): Volume multiplier for trap detection. Institutional Flow (🏦): Institutional Volume Multiplier (2.5): For detecting large volume spikes. Institutional MA Period (21): For Accumulation/Distribution smoothing. Nash Equilibrium (⚖️): Nash Period (100): For calculating price mean and standard deviation. Nash Deviation (0.02): Multiplier for equilibrium bands. Risk Management (🛡️): Use Stop-Loss (true): Enables SL at 2% below/above entry price. Use Take-Profit (true): Enables TP at 5% above/below entry price. b. Herd Behavior Detection RSI (14): Checks for extreme conditions: Overbought: RSI > 70 (potential herd buying). Oversold: RSI < 30 (potential herd selling). Volume Spike: Volume > SMA(20) x 2.0 (herd_threshold). Momentum: Price change over 10 bars (close - close ) compared to its SMA(20). Herd Signals: Herd Buying: RSI > 70 + volume spike + positive momentum = Retail buying frenzy (red background). Herd Selling: RSI < 30 + volume spike + negative momentum = Retail selling panic (green background). c. Liquidity Trap Detection Recent Highs/Lows: Calculated over 50 bars (liquidity_lookback). Psychological Levels: Nearest round numbers (e.g., $100, $110) as potential stop-loss zones. Trap Conditions: Up Trap: Price breaks recent high, closes below it, with a volume spike (volume > SMA x 1.5). Down Trap: Price breaks recent low, closes above it, with a volume spike. Visualization: Traps are marked with small red/green crosses above/below bars. d. Institutional Flow Analysis Volume Check: Volume > SMA(20) x 2.5 (inst_volume_mult) = Institutional activity. Accumulation/Distribution (AD): Formula: ((close - low) - (high - close)) / (high - low) * volume, cumulated over time. Smoothed with SMA(21) (inst_ma_length). Accumulation: AD > MA + high volume = Institutions buying. Distribution: AD < MA + high volume = Institutions selling. Smart Money Index: (close - open) / (high - low) * volume, smoothed with SMA(20). Positive = Smart money buying. e. Nash Equilibrium Calculation: Price mean: SMA(100) (nash_period). Standard deviation: stdev(100). Upper Nash: Mean + StdDev x 0.02 (nash_deviation). Lower Nash: Mean - StdDev x 0.02. Conditions: Near Equilibrium: Price between upper and lower Nash bands (stable market). Above Nash: Price > upper band (overbought, sell potential). Below Nash: Price < lower band (oversold, buy potential). Visualization: Orange line (mean), red/green lines (upper/lower bands). f. Game Theory Signals The strategy generates three types of signals, combined into long/short triggers: Contrarian Signals: Buy: Herd selling + (accumulation or down trap) = Go against retail panic. Sell: Herd buying + (distribution or up trap). Momentum Signals: Buy: Below Nash + positive smart money + no herd buying. Sell: Above Nash + negative smart money + no herd selling. Nash Reversion Signals: Buy: Below Nash + rising close (close > close ) + volume > MA. Sell: Above Nash + falling close + volume > MA. Final Signals: Long Signal: Contrarian buy OR momentum buy OR Nash reversion buy. Short Signal: Contrarian sell OR momentum sell OR Nash reversion sell. g. Position Management Position Sizing (Minimax Principle): Default: 1.0 (10% of equity). In Nash equilibrium: Reduced to 0.5 (conservative). During institutional volume: Increased to 1.5 (aggressive). Entries: Long: If long_signal is true and no existing long position (strategy.position_size <= 0). Short: If short_signal is true and no existing short position (strategy.position_size >= 0). Exits: Stop-Loss: If use_sl=true, set at 2% below/above entry price. Take-Profit: If use_tp=true, set at 5% above/below entry price. Pyramiding: Up to 3 concurrent positions allowed. h. Visualization Nash Bands: Orange (mean), red (upper), green (lower). Background Colors: Herd buying: Red (90% transparency). Herd selling: Green. Institutional volume: Blue. Signals: Contrarian buy/sell: Green/red triangles below/above bars. Liquidity traps: Red/green crosses above/below bars. Tables: Game Theory Table (Top-Right): Herd Behavior: Buying frenzy, selling panic, or normal. Institutional Flow: Accumulation, distribution, or neutral. Nash Equilibrium: In equilibrium, above, or below. Liquidity Status: Trap detected or safe. Position Suggestion: Long (green), Short (red), or Wait (gray). Backtest Table (Bottom-Right): Total Trades: Number of closed trades. Win Rate: Percentage of winning trades. Net Profit/Loss: In USD, colored green/red. Profit Factor: Gross profit / gross loss. Max Drawdown: Peak-to-trough equity drop (%). Win/Loss Trades: Number of winning/losing trades. Risk/Reward Ratio: Simplified Sharpe ratio (returns / drawdown). Avg Win/Loss Ratio: Average win per trade / average loss per trade. Last Update: Current time. i. Backtesting Metrics Tracks: Total trades, winning/losing trades. Win rate (%). Net profit ($). Profit factor (gross profit / gross loss). Max drawdown (%). Simplified Sharpe ratio (returns / drawdown). Average win/loss ratio. Updates metrics on each closed trade. Displays a label on the last bar with backtest period, total trades, win rate, and net profit. j. Alerts No explicit alertconditions defined, but you can add them for long_signal and short_signal (e.g., alertcondition(long_signal, "GT Long Entry", "Long Signal Detected!")). Use TradingView's alert system with Strategy Tester outputs. 3. Usage Tips Timeframe: Best for H1-D1 timeframes. Shorter frames (M1-M15) may produce noisy signals. Settings: Risk Management: Adjust sl_percent (e.g., 1% for volatile markets) and tp_percent (e.g., 3% for scalping). Herd Threshold: Increase to 2.5 for stricter herd detection in choppy markets. Liquidity Lookback: Reduce to 20 for faster markets (e.g., crypto). Nash Period: Increase to 200 for longer-term analysis. Backtesting: Use TradingView's Strategy Tester to evaluate performance. Check win rate (>50%), profit factor (>1.5), and max drawdown (<20%) for viability. Test on different assets/timeframes to ensure robustness. Live Trading: Start with a demo account. Combine with other indicators (e.g., EMAs, support/resistance) for confirmation. Monitor liquidity traps and institutional flow for context. Risk Management: Always use SL/TP to limit losses. Adjust position_size for risk tolerance (e.g., 5% of equity for conservative trading). Avoid over-leveraging (pyramiding=3 can amplify risk). Troubleshooting: If no trades are executed, check signal conditions (e.g., lower herd_threshold or liquidity_sensitivity). Ensure sufficient historical data for Nash and liquidity calculations. If tables overlap, adjust position.top_right/bottom_right coordinates. 4. Key Differences from the Previous Indicator Indicator vs. Strategy: The previous code was an indicator (VP + Game Theory Integrated Strategy) focused on visualization and alerts. This is a strategy with automated entries/exits and backtesting. Volume Profile: Absent in this strategy, making it lighter but less focused on high-volume zones. Wick Analysis: Not included here, unlike the previous indicator's heavy reliance on wick patterns. Backtesting: This strategy includes detailed performance metrics and a backtest table, absent in the indicator. Simpler Signals: Focuses on Game Theory signals (contrarian, momentum, Nash reversion) without the "Power/Ultra Power" hierarchy. Risk Management: Explicit SL/TP and dynamic position sizing, not present in the indicator. 5. Conclusion The "Game Theory Trading Strategy" is a sophisticated system leveraging herd behavior, institutional flows, liquidity traps, and Nash equilibrium to trade market inefficiencies. It’s designed for traders who understand Game Theory principles and want automated execution with robust risk management. However, it requires thorough backtesting and parameter optimization for specific markets (e.g., forex, crypto, stocks). The backtest table and visual aids make it easy to monitor performance, but always combine with other analysis tools and proper capital management. If you need help with backtesting, adding alerts, or optimizing parameters, let me know!
Pine Script® strategy
by EfeErdost
Ultimate Scalping Strategy v2Strategy Overview This is a versatile scalping strategy designed primarily for low timeframes (like 1-min, 3-min, or 5-min charts). Its core logic is based on a classic EMA (Exponential Moving Average) crossover system, which is then filtered by the VWAP (Volume-Weighted Average Price) to confirm the trade's direction in alignment with the market's current intraday sentiment. The strategy is highly customizable, allowing traders to add layers of confirmation, control trade direction, and manage exits with precision. Core Strategy Logic The strategy's entry signals are generated when two primary conditions are met simultaneously: Momentum Shift (EMA Crossover): It looks for a crossover between a fast EMA (default length 9) and a slow EMA (default length 21). Buy Signal: The fast EMA crosses above the slow EMA, indicating a potential shift to bullish momentum. Sell Signal: The fast EMA crosses below the slow EMA, indicating a potential shift to bearish momentum. Trend/Sentiment Filter (VWAP): The crossover signal is only considered valid if the price is on the "correct" side of the VWAP. For a Buy Signal: The price must be trading above the VWAP. This confirms that, on average, buyers are in control for the day. For a Sell Signal: The price must be trading below the VWAP. This confirms that sellers are generally in control. Confirmation Filters (Optional) To increase the reliability of the signals and reduce false entries, the strategy includes two optional confirmation filters: Price Action Filter (Engulfing Candle): If enabled (Use Price Action), the entry signal is only valid if the crossover candle is also an "engulfing" candle. A Bullish Engulfing candle is a large green candle that completely "engulfs" the body of the previous smaller red candle, signaling strong buying pressure. A Bearish Engulfing candle is a large red candle that engulfs the previous smaller green candle, signaling strong selling pressure. Volume Filter (Volume Spike): If enabled (Use Volume Confirmation), the entry signal must be accompanied by a surge in volume. This is confirmed if the volume of the entry candle is greater than its recent moving average (default 20 periods). This ensures the move has strong participation behind it. Exit Strategy A position can be closed in one of three ways, creating a comprehensive exit plan: Stop Loss (SL): A fixed stop loss is set at a level determined by a multiple of the Average True Range (ATR). For example, a 1.5 multiplier places the stop 1.5 times the current ATR value away from the entry price. This makes the stop dynamic, adapting to market volatility. Take Profit (TP): A fixed take profit is also set using an ATR multiplier. By setting the TP multiplier higher than the SL multiplier (e.g., 2.0 for TP vs. 1.5 for SL), the strategy aims for a positive risk-to-reward ratio on each trade. Exit on Opposite Signal (Reversal): If enabled, an open position will be closed automatically if a valid entry signal in the opposite direction appears. For example, if you are in a long trade and a valid short signal occurs, the strategy will exit the long position immediately. This feature turns the strategy into more of a reversal system. Key Features & Customization Trade Direction Control: You can enable or disable long and short trades independently using the Allow Longs and Allow Shorts toggles. This is useful for trading in harmony with a higher-timeframe trend (e.g., only allowing longs in a bull market). Visual Plots: The strategy plots the Fast EMA, Slow EMA, and VWAP on the chart for easy visualization of the setup. It also plots up/down arrows to mark where valid buy and sell signals occurred. Dynamic SL/TP Line Plotting: A standout feature is that the strategy automatically draws the exact Stop Loss and Take Profit price lines on the chart for every active trade. These lines appear when a trade is entered and disappear as soon as it is closed, providing a clear visual of your risk and reward targets. Alerts: The script includes built-in alertcondition calls. This allows you to create alerts in TradingView that can notify you on your phone or execute trades automatically via a webhook when a long or short signal is generated.
Pine Script® strategy
by sebamarghella
3
NQ Phantom Scalper Pro# 👻 NQ Phantom Scalper Pro **Advanced VWAP Mean Reversion Strategy with Volume Confirmation** ## 🎯 Strategy Overview The NQ Phantom Scalper Pro is a sophisticated mean reversion strategy designed specifically for Nasdaq 100 (NQ) futures scalping. This strategy combines Volume Weighted Average Price (VWAP) bands with intelligent volume spike detection to identify high-probability reversal opportunities during optimal market hours. ## 🔧 Key Features ### VWAP Band System - **Dynamic VWAP Bands**: Automatically adjusting standard deviation bands based on intraday volatility - **Multiple Band Levels**: Configurable Band #1 (entry trigger) and Band #2 (profit target reference) - **Flexible Anchoring**: Choose from Session, Week, Month, Quarter, or Year-based VWAP calculations ### Volume Intelligence - **Volume Spike Detection**: Only triggers entries when volume exceeds SMA by configurable multiplier - **Relative Volume Display**: Real-time volume strength indicator in info panel - **Optional Volume Filter**: Can be disabled for testing alternative setups ### Advanced Time Management - **12-Hour Format**: User-friendly time inputs (9 AM - 4 PM default) - **Lunch Filter**: Automatically avoids low-liquidity lunch period (12-2 PM) - **Visual Time Zones**: Color-coded background for active/inactive periods - **Market Hours Focus**: Optimized for peak NQ trading sessions ### Smart Risk Management - **ATR-Based Stops**: Volatility-adjusted stop losses using Average True Range - **Dual Exit Strategy**: VWAP mean reversion + fixed profit targets - **Adjustable Risk-Reward**: Configurable target ratio to opposite VWAP band - **Position Sizing**: Percentage-based equity allocation ### Optional Trend Filter - **EMA Trend Alignment**: Optional trend filter to avoid counter-trend trades - **Configurable Period**: Adjustable EMA length for trend determination - **Toggle Functionality**: Enable/disable based on market conditions ## 📊 How It Works ### Entry Logic **Long Entries**: Triggered when price touches lower VWAP band + volume spike during active hours **Short Entries**: Triggered when price touches upper VWAP band + volume spike during active hours ### Exit Strategy 1. **VWAP Mean Reversion**: Early exit when price returns to VWAP center line 2. **Profit Target**: Fixed target based on percentage to opposite VWAP band 3. **Stop Loss**: ATR-based protective stop ### Visual Elements - **VWAP Center Line**: Blue line showing volume-weighted fair value - **Green Bands**: Entry trigger levels (Band #1) - **Red Bands**: Extended levels for target reference (Band #2) - **Orange EMA**: Trend filter line (when enabled) - **Background Colors**: Yellow (lunch), Gray (after hours), Clear (active trading) - **Info Panel**: Real-time metrics display ## ⚙️ Recommended Settings ### Timeframes - **Primary**: 1-5 minute charts for scalping - **Validation**: Test on 15-minute for swing applications ### Market Conditions - **Best Performance**: Ranging/choppy markets with good volume - **Trend Markets**: Enable trend filter to avoid counter-trend trades - **High Volatility**: Increase ATR multiplier for stops ### Session Optimization - **Pre-Market**: Generally avoided (low volume) - **Morning Session**: 9:30 AM - 12:00 PM (high activity) - **Lunch Period**: 12:00 PM - 2:00 PM (filtered by default) - **Afternoon Session**: 2:00 PM - 4:00 PM (good volume) - **After Hours**: Generally avoided (wide spreads) ## ⚠️ Risk Disclaimer This strategy is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Trading futures involves substantial risk of loss and is not suitable for all investors. Users should: - Thoroughly backtest on historical data - Start with small position sizes - Understand the risks of leveraged trading - Consider transaction costs and slippage - Never risk more than you can afford to lose ## 📈 Performance Tips 1. **Volume Threshold**: Adjust volume multiplier based on average NQ volume patterns 2. **Band Sensitivity**: Modify band multipliers for different volatility regimes 3. **Time Filters**: Customize trading hours based on your timezone and preferences 4. **Trend Alignment**: Use trend filter during strong directional markets 5. **Risk Management**: Always maintain consistent position sizing and risk parameters **Version**: 6.0 Compatible **Asset**: Optimized for NASDAQ 100 Futures (NQ) **Style**: Mean Reversion Scalping **Frequency**: High-Frequency Trading Ready
Pine Script® strategy
by TradeManager_PRO
SwingTrade ADX Strategy v6This is a swing trading strategy that combines VWAP (Volume Weighted Average Price), ADX (Average Directional Index) for trend strength, and volume ratios to generate long/short entry and exit signals. It's designed for daily charts but can be adapted. #### Key Features: - **Entries**: Based on VWAP crossovers, rising/falling delta (price deviation from VWAP), ADX trend confirmation, and volume ratios. - **Exits**: Dynamic exits when VWAP delta reverses after a peak. - **Filters**: Optional toggles for VWAP signals, ADX, and volume. Backtest date range for custom periods. - **Visuals**: VWAP line, signal shapes/labels, and an info panel showing key metrics (VWAP Delta %, ADX, Volume Ratio). - **Alerts**: Built-in alerts for buy/sell entries and exits. #### How to Use: 1. Apply to your chart (e.g., stocks, forex, crypto). 2. Adjust parameters in the settings (e.g., ADX threshold, volume period). 3. Enable/disable indicators as needed. 4. Backtest using the date filters and review equity curve. **Disclaimer**: This is for educational purposes only. Past performance is not indicative of future results. Not financial advice—trade at your own risk. Backtest thoroughly and use with proper risk management. Feedback welcome! If you find it useful, give it a like.
Pine Script® strategy
by TiamatCrypto