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FluxGate Daily Swing Strategy Summary in one paragraph FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close. Scope and intent • Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs • Timeframes. From one minute to daily • Default demo in this publication. SPY on one day timeframe • Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy • Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution Originality and usefulness • Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another. • Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean. • Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common. • Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart. • Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number. Method overview in plain language Base measures • Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window. • Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks. Components • Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating. • Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms. • Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss. • Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior. • Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there. • Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act. • Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule. • Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize. Fusion rule • Normalize the three drivers after removing overlap • Blend with weights that adapt to your aggression input • Multiply by the gates to respect path quality • Smooth just enough to avoid jitter while keeping timing responsive • Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign • The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug Signal rule • A long suggestion appears when the long score crosses above its long threshold while all gates are active • A short suggestion appears when the short score crosses below its short threshold while all gates are active • If any required gate is missing the state is wait • When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips Inputs with guidance Setup Long • Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise • Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing Setup Short • Base length Short. Master window for the short engine. Typical range twenty eight to ninety six • Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols Entries and UI • Entry mode. Both or Long only or Short only Complementary risk engine • Enable risk engine. Turns on bracket exits while keeping your signal logic untouched • ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance • ATR length. Default fourteen • Stop multiple. Default one point five times the anchor ATR • Use take profit. On by default • Take profit in R. Default two R • Breakeven trigger in R. Default one R Usage recipes Intraday trend focus • Entry mode Both • ATR anchor Week • Aggression Long zero point five Aggression Short zero point three • Stop multiple one point five Take profit two R • Expect fewer trades that stick to directional pushes and skip treadmill noise Intraday mean reversion focus • Session windows optional if you add them in your copy • ATR anchor Day • Lower aggression both sides • Breakeven later and trailing later so the first bounce has room • This favors fade entries that still convert into trends when the path stays clean Swing continuation • Signal timeframe four hours or one day • Confirm timeframe one day if you choose to include bias • ATR anchor Week or Month • Larger base windows and a steady two R target • This accepts fewer entries and aims for larger holds Properties visible in this publication • Initial capital 25.000 • Base currency USD • Default order size percent of equity value three - 3% of the total capital • Pyramiding zero • Commission zero point zero three percent - 0.03% of total capital • Slippage five ticks • Process orders on close off • Recalculate after order is filled off • Calc on every tick off • Bar magnifier off • Any request security calls use lookahead off everywhere Realism and responsible publication • No performance promises. Past results never guarantee future outcomes • Fills and slippage vary by venue and feed • Strategies run on standard candles only • Shapes can update while a bar is forming and settle on close • Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable Honest limitations and failure modes • Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads • Gap heavy symbols often behave better with a True Range basis for risk than a simple range • Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep • Session windows follow the exchange time of the chart if you add them • If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative Open source reuse and credits • No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
Pine Script® stratejisi
exlux tarafından
Quantum Flux Universal Strategy Summary in one paragraph Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version. Scope and intent • Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto • Timeframes. One minute to daily • Default demo used in the publication. QQQ on one hour • Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps. • What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise. • Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state. • Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols. Method overview in plain language The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction. Base measures • Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale. • Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop. • Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves. Components • Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner. • Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends. • Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response. • Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance. • Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot. Fusion rule • Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent. • The blend power input scales the driver mix. Zero means fixed spans. One means full driver control. • Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes. Signal rule • Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one. • Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one. • When polarity flips from plus to minus, the strategy closes any long and enters a short. • When flux crosses above the guide, the strategy closes any short. What you will see on the chart • White polarity plot around the zero line • A dotted reference line at zero named Zen • Green background tint for positive polarity and red background tint for negative polarity • Strategy long and short markers placed by the TradingView engine at entry and at close conditions • No table in this version to keep the visual clean and portable Inputs with guidance Setup • Price source. Default ohlc4. Stable for noisy symbols. • Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive. • Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price. Logic • Guide span. Typical range 4 to 12. A small guide smooths without eating turns. • Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing. • Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work. • Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise. • Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve. • Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak. • Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong. • Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline. • Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols. • Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs. Filters • Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends. • Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping. • Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version. Alerts • This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows. Strategy has been currently adapted for the QQQ asset with 30/60min timeframe. For other assets may require new optimization Properties visible in this publication • Initial capital 25000 • Base currency Default • Default order size method percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Honest limitations and failure modes • Past results do not guarantee future outcomes • Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency • Gap heavy symbols may benefit from the MAD Z normalization • Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context • Session time is the exchange time of the chart • If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference Open source reuse and credits • None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank • Method and fusion are original in construction and disclosure Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs. Strategy add on block Strategy notice Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used. Entries and exits • Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero • Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short • Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed • Tie handling. Not applicable in this version because there are no fixed stops or targets Position sizing • Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice Properties used on the published chart • Initial capital 25000 • Base currency Default • Default order size percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Dataset and sample size • Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour • Trade count in sample 324 on the example chart Release notes template for future updates Version 1.1. • Add alertcondition lines for long, short, and exit short • Add optional table with component readouts • Add optional stop model with a distance unit expressed as ATR or a percent of price Notes. Backward compatibility Yes. Inputs migrated Yes.
Pine Script® stratejisi
exlux tarafından
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® stratejisi
PineIndicators tarafından
5
PowerTrend Pro Strategy – Gold OptimizedTired of false signals on Gold? PowerTrend Pro combines VWAP, Supertrend, RSI, and smart MA filters with trailing stops & break-even logic to deliver high-probability trades on XAUUSD. PowerTrend Pro Strategy is a professional-grade trading system designed to capture high-probability swing and intraday opportunities on XAUUSD (Gold) and other volatile markets. 🔑 Core Features VWAP Anchoring – institutional fair value reference to filter trades. Supertrend (ATR-based) – adaptive trend filter tuned for Gold’s volatility. Multi-Timeframe RSI – confirms momentum alignment across intraday and higher timeframe. EMA + SMA Combo – ensures trades follow strong directional bias, reducing false signals. Dynamic Risk Management Adjustable Take Profit / Stop Loss (%) Trailing Stop that locks in profits on extended moves Break-Even Logic (stop loss moves to entry once price is in profit) ⚡ Gold-Tuned Presets XAUUSD 1H → tighter TP/SL & faster entries for active intraday trading. XAUUSD 4H → wider ATR filter & trailing stops to capture bigger swings. Generic Mode → works on Forex, Indices, and Crypto (fully customizable). 🎯 Why It Works Gold is notoriously volatile — quick spikes wipe out weak strategies. PowerTrend Pro solves this by combining: ✅ Institutional bias (VWAP) ✅ Adaptive trend filter (Supertrend) ✅ Momentum confirmation (RSI MTF) ✅ Robust trend structure (EMA + SMA) ✅ Smart exits (TP, SL, trailing & breakeven) This multi-layer confirmation makes entries stronger and keeps risk under control. 🛠️ Usage Add the strategy to your chart. Choose a preset (XAUUSD 1H, 4H, or Generic). Run Strategy Tester for performance metrics. Optimize TP/SL and ATR values for your broker & market conditions. 🔥 Pro Tip: Combine this strategy with a session filter (London/NY overlap) or volume confirmation to boost accuracy in Gold.
Pine Script® stratejisi
MarkSteve_7 tarafından
1
MACD Volume Strategy for XAUUSD (15m) [PineIndicators]The MACD Volume Strategy is a momentum-based trading system designed for XAUUSD on the 15-minute timeframe. It integrates two key market indicators: the Moving Average Convergence Divergence (MACD) and a volume-based oscillator to identify strong trend shifts and confirm trade opportunities. This strategy uses dynamic position sizing, incorporates leverage customization, and applies structured entry and exit conditions to improve risk management. ⚙️ Core Strategy Components 1️⃣ Volume-Based Momentum Calculation The strategy includes a custom volume oscillator to filter trade signals based on market activity. The oscillator is derived from the difference between short-term and long-term volume trends using Exponential Moving Averages (EMAs) Short EMA (default = 5) represents recent volume activity. Long EMA (default = 8) captures broader volume trends. Positive values indicate rising volume, supporting momentum-based trades. Negative values suggest weak market activity, reducing signal reliability. By requiring positive oscillator values, the strategy ensures momentum confirmation before entering trades. 2️⃣ MACD Trend Confirmation The strategy uses the MACD indicator as a trend filter. The MACD is calculated as: Fast EMA (16-period) detects short-term price trends. Slow EMA (26-period) smooths out price fluctuations to define the overall trend. Signal Line (9-period EMA) helps identify crossovers, signaling potential trend shifts. Histogram (MACD – Signal) visualizes trend strength. The system generates trade signals based on MACD crossovers around the zero line, confirming bullish or bearish trend shifts. 📌 Trade Logic & Conditions 🔹 Long Entry Conditions A buy signal is triggered when all the following conditions are met: ✅ MACD crosses above 0, signaling bullish momentum. ✅ Volume oscillator is positive, confirming increased trading activity. ✅ Current volume is at least 50% of the previous candle’s volume, ensuring market participation. 🔻 Short Entry Conditions A sell signal is generated when: ✅ MACD crosses below 0, indicating bearish momentum. ✅ Volume oscillator is positive, ensuring market activity is sufficient. ✅ Current volume is less than 50% of the previous candle’s volume, showing decreasing participation. This multi-factor approach filters out weak or false signals, ensuring that trades align with both momentum and volume dynamics. 📏 Position Sizing & Leverage Dynamic Position Calculation: Qty = strategy.equity × leverage / close price Leverage: Customizable (default = 1x), allowing traders to adjust risk exposure. Adaptive Sizing: The strategy scales position sizes based on account equity and market price. Slippage & Commission: Built-in slippage (2 points) and commission (0.01%) settings provide realistic backtesting results. This ensures efficient capital allocation, preventing overexposure in volatile conditions. 🎯 Trade Management & Exits Take Profit & Stop Loss Mechanism Each position includes predefined profit and loss targets: Take Profit: +10% of risk amount. Stop Loss: Fixed at 10,100 points. The risk-reward ratio remains balanced, aiming for controlled drawdowns while maximizing trade potential. Visual Trade Tracking To improve trade analysis, the strategy includes: 📌 Trade Markers: "Buy" label when a long position opens. "Close" label when a position exits. 📌 Trade History Boxes: Green for profitable trades. Red for losing trades. 📌 Horizontal Trade Lines: Shows entry and exit prices. Helps identify trend movements over multiple trades. This structured visualization allows traders to analyze past performance directly on the chart. ⚡ How to Use This Strategy 1️⃣ Apply the script to a XAUUSD (Gold) 15m chart in TradingView. 2️⃣ Adjust leverage settings as needed. 3️⃣ Enable backtesting to assess past performance. 4️⃣ Monitor volume and MACD conditions to understand trade triggers. 5️⃣ Use the visual trade markers to review historical performance. The MACD Volume Strategy is designed for short-term trading, aiming to capture momentum-driven opportunities while filtering out weak signals using volume confirmation.
Pine Script® stratejisi
PineIndicators tarafından
3
Ultra Moving Average Rating Trend StrategyThis is a technical analysis strategy based initially on the rating strategy, but fully adapted and converted to moving average rating. In this case we are using: Ichimoku, SMA, EMA, ALMA, SMMA, LSMA, VWMA, DEMA, HMA, KAMA FRAMA, VIDYA, JMA, TEMA, ZLEMA, TRIMA and T3 moving averages. With all of them together I am making an index. Rules for entry and exit: If % percentage of all the moving averages is telling to go long , we go long or exit short. And viceversa for short. If there are any questions, please let me know !
Pine Script® stratejisi
exlux tarafından
2
Strategy Oil Z ScoreObjective is to find forward looking indicators to find good entries into major index's. In similar vein to my Combo Z Score script I have implemented one looking at oil and oil volatility. Interestingly the script out performs WITHOUT applying the EMA in longer timeframes but under performs in shorter timeframes, for example 2007 vs 2019. Likely due to the bullish nature of the past decade (by and large). You have some options on the underlying included Oil vs OVX (Best), MOVE vs OVX and VIX vs OVX. Oil vs OVX out performs Combo Z Script. Favours Spy over QQQ or derivations (SPXL etc).
Pine Script® stratejisi
jroche1973 tarafından
Accurate BUY & SELL 5 mins TF by RRAlways trade using 5 mins Time frame of chart. For Buy entry always buy 1 point above the candle closing price & SL would be previous candle low or 30 points. For Sell Entry Always Sell 1 point below the candle opening price & SL would be previous candle high or 30 points. Do not take trades using 3 mins Time frame, as there is lot of noise. It works best with 5 mins Time frame. I have adjusted/set according my trading pattern, if needed use the settings options to set accordingly . Removed range highlighter to keep the chart simple. Original Version credits to ZacVaughn Actual Version i just set alerts and change the parameters for Crude OIL 5min Chart. NO REPAINT. Wait For Barclose
Pine Script® stratejisi
RohitVR tarafından
7
Scalping Trading System bot Crypto and StocksThis is a trend trading strategy scalping bot that can work with any type of market. However I concluded my tests so far with Crypto, Stocks and Forex, and with optimizations always could be found some profitable settings. Indicators SImple Moving Average Exponential Moving Average Keltner Channels MACD Histogram Stochastics Rules for entry long= Close of the candle bigger than both moving averages and close of the candle is between the top and bot levels from Keltner. At the same time the macd histogram is negative and stochastic is below 50. short= Close of the candle smaller than both moving averages and close of the candle is between the top and bot levels from Keltner. At the same time the macd histogram is positive and stochastic is above 50. Rules for exit We exit when we meet an opposite reverse order. This strategy has no risk management inside, so use it with caution !
Pine Script® stratejisi
exlux tarafından
23
Full Swing Gold Vwap Macd SMO StrategyThis is a full strategy designed for gold market using 12h timeframe chart. Its components are: VWAP monthly SMO oscillator MACD histogram Rules for entry: For long: when enter when close of the candle is above vwap monthly, current histogram is higher than the previous one and SMO oscillator is above 0 For long: when enter when close of the candle is below vwap monthly, current histogram is lower than the previous one and SMO oscillator is below 0 Rules for exit: We exit the trade if we get a reverse condition. We also exit the trade based on a risk management system, both for SL and TP using % movements. If you have any questions let me know !
Pine Script® stratejisi
exlux tarafından
Full CRYPTO pack macd, rsi, obv, ema strategyThis is a simple, yet very efficient crypto strategy, adapted to 4h time frame, on big coins like ETH and BTC. However it can be adapted to other markets, timeframes etc For this strategy I use a combination of a trend line, an oscillator, price action and volume. This strategy has both the opportunity to go long and short. As well, it has a leverage simulator . The rules are the next ones: Long : we check that current candle is ascending and above the moving average, the macd is in positive range, rsi is below overbought level and volume is bigger than the moving avg of volume. For short, we have the opposite long rules. If you have any questions, please let me know !
Pine Script® stratejisi
SoftKill21 tarafından
18
Amazing strategy for silver -XAGUSD, XAGEUR etcToday I bring an amazing strategy that works for 1h time frames for silver. Its made of price actions movement combined together with MACD and simple moving average It does not use neither stop loss/take profit levels. Instead it will always exit at the next candle after it opens a trade. The rules are the next one : For short condition : we have a bull candle, and candle is above the moving average, and MACD histogram is > 0 and last high0 and candle close > last high1 and, previus high1 and candle close > last high2 At the same time, viceversa for long condition. In development terms, this is the formula long1 = (close > open ) and time_cond and close > out and hist > 0 and hist > hist and high > high and high > high and close > high and close > high and close > high short1 = (close < open) and time_cond and close < out and hist < 0 and hist < hist and low < low and low < low and close < low and close < low and close < low But when we enter the trade, we enter in reverse, like lets say we go long -> for this we apply the short1 condition. If we go short we apply the long1 condition. If you have any questions , please let me know .
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SoftKill21 tarafından
3
Bollinger Band Strategy (Basic) Version 1 This strategy is for learning purposes only. Pay special attention to these strategies on longer aggregation periods (like 1 hr chart or more). Don't expect accurate results when you set a limit to 10 cents above your entry to be accurate. For example if you set the chart to 1 day, the price may move down and hit a stop 10 times then tag your limit. If this doesn't make sense, just don't use strategies here. Learn more first. That being said, I don't have specific recommendations for each aggregation period, backtesting isn't always perfect. Now then, this strategy can be used as the traditional BB method by setting the "Stop" and "Limit Out" to like 10000, check "Reversal Entry" and uncheck "Limit Time of Day" This will keep the strategy running just reverse your position when price crosses outside each band. INPUTS: Length - length of WMA that I used for mean of Bollinger Band (this may suppose to be SMA, too bad) Source - O-H-L-C basis for WMA Deviation - normal Standard deviation that would be set when using Bollinger Band Trailing stop check box - your stop value will be either a hard stop or trailing stop for an exit Stop - the stop value - remember you can set this really high and it won't stop out Limit Out - the limit value for exit Reversal Entry check box - This changes each entry from a reversal (traditional idea of BB) to enter a trend trade - hopefully version 2 will have choice to trend one direction and reversal in the other. Limit Time of Day - Especially when trading futures, you may want to only trade a specific time of day, when this box is checked, you can set the entry times below, exit will still only occur based on limit/stop or a flip entry order (the opposite entry condition is met) Tips: when I don't know a thing about a price range, like gold. I can set the limit out to 10000 and play with a trailing stop to get a better idea of what is even possible before tuning further.
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oldinvestor tarafından
Powerfull strategy MACD+RSI+STOCH ATR stop best on Crude OilMy strategy uses a combination of three indicators MACD Stochastic RSI . The Idea is to buy when ( MACD > Signal and RSI > 50 and Stochastic > 50) occures at the same time the BUY STop we place on previous day HIGH and sell (short) when the opposite condition occurs we place SELL STOP on previous day LOW We exit on Take profit or Stop loss which is calculated by ATR (10) or on the opposite signal "Volatility breakout" This strategy works well on stocks, commodities and cryptos especially during market breaking up after consolidation The best results are on Daily charts , so its NOT a scalping strategy. But it can work also on 1H charts. The strategy does not have any stops and profit targets, so we can take all the market can give us at the moment. The exit point only when MACD goes under Signal Its Preformance is significantly better with "buy stop on High.1 and sell stop on Low.1" idea and exit on "volatility price breakout" So, use it, trade it. If it will help you to imprive your trading results, please donate me BTC: 12kd1F8buWisUBdq27BBwRkUvzW7Ey3og
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x001tk tarafından
2
Gold trading strategy with trend follow and TDOW conceptMy strategy uses a combination of three indicators MACD Stochastic RSI. The Idea is to buy when ( MACD > Signal and RSI > 50 and Stochastic > 50) occures at the same time This strategy works well on stocks and cryptos especially during market breaking up after consolidation The best results are on Daily charts , so its NOT a scalping strategy. But it can work also on 1H charts. The strategy does not have any stops and profit targets, so we can take all the market can give us at the moment. The exit point only when MACD goes under Signal In addition I've decided to add a stop loss and "Trading day of week" concept So the results are much more stable and we get more profit ! So, use it, trade it. If it will help you to imprive your trading results, please donate me BTC: 12kd1F8buWisUBdq27BBwRkUvzW7Ey3og5
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x001tk tarafından
4
Dhananjay Volatility stop strategy v1.0 Sharing one more strategy after getting good feedback on my earlier published strategy. This is simple volatility stop strategy where in we are using VStop as entry and exit point. Again smart traders can add MA to decide the trend and can avoid trading in opposite direction of trend which will help them to minimize loss making trades. There are more than 1 parameters which traders can use/change to make this strategy compatible to their instrument. To understand what is VStop use google.com :-) Looking forward to receiving feedback from all of you.
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dhananjay.d.joshi tarafından
8
HL MovingAvg2Line Cross Dhananjay Sharing the simple trend following trading strategy, traders can add their own rules in this, to minimise the losses and maximise the profits. Like below. 1. Go long only if price is above 189 days EMA/SAM 2. Exit position when high or low of previous candle is breached in the opposite direction of the trend. 3. Go long only if price is in up trend on higher time frame charts and go short when price is down trend of higher time frame charts. Stop loss, target and other things can also be decided by the trader. Idea is to capture the short term trend to trade in FnO or 2/3 days position in underlying instrument. Traders can optimise the length of the Moving average so that your traded is set for maximum profit giving settings for this strategy. Different instruments responds to different moving averages because of different volatility. Idea is to go long when price closes above 9 days EMA of Highs and exit and go short whenever price closes below 9 days EMA of lows, exit short when first condition meets after short trade. I ma not that good with scripts, have many such ideas, interested script writers can get in touch with me so that we can create trading systems which have grater success rate .
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dhananjay.d.joshi tarafından
3
Gold/Silver 30m Only Strategy Buy/Sell SignalsIn my free time I felt like coding this strategy, and after backtesting it, it appears that the 30m time frame is the most profitable. I only have been working on it for gold, but it should work similarly for silver as well. This includes no pyramiding, and with pyramiding orders of 5, this strategy is upwards of 100% profitable. Buy order - when price is above the 162 day EMA and RSI is less than 35 Sell order - when price is below the 162 day EMA and RSI is greater than 65 I will probably be adjusting it to increase the profitability and %success rate.
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MtxTrader tarafından
2