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Macro Momentum – 4-Theme, Vol Target, RebalanceMacro Momentum — 4-Theme, Vol Target, Rebalance Purpose. A macro-aware strategy that blends four economic “themes”—Business Cycle, Trade/USD, Monetary Policy, and Risk Sentiment—into a single, smoothed Composite signal. It then: gates entries/exits with hysteresis bands, enforces optional regime filters (200-day bias), and sizes the position via volatility targeting with caps for long/short exposure. It’s designed to run on any chart (index, ETF, futures, single stocks) while reading external macro proxies on a chosen Signal Timeframe. How it works (high level) Build four theme signals from robust macro proxies: Business Cycle: XLI/XLU and Copper/Gold momentum, confirmed by the chart’s price vs a long SMA (default 200D). Trade / USD: DXY momentum (sign-flipped so a rising USD is bearish for risk assets). Monetary Policy: 10Y–2Y curve slope momentum and 10Y yield trend (steepening & falling 10Y = risk-on; rising 10Y = risk-off). Risk Sentiment: VIX momentum (bearish if higher) and HYG/IEF momentum (bullish if credit outperforms duration). Normalize & de-noise. Optional Winsorization (MAD or stdev) clamps outliers over a lookback window. Optional Z-score → tanh mapping compresses to ~ for stable weighting. Theme lines are SMA-smoothed; the final Composite is LSMA-smoothed (linreg). Decide direction with hysteresis. Enter/hold long when Composite ≥ Entry Band; enter/hold short when Composite ≤ −Entry Band. Exit bands are tighter than entry bands to avoid whipsaws. Apply regime & direction constraints. Optional Long-only above 200MA (chart symbol) and/or Short-only below 200MA. Global Direction control (Long / Short / Both) and Invert switch. Size via volatility targeting. Realized close-to-close vol is annualized (choose 9-5 or 24/7 market profile). Target exposure = TargetVol / RealizedVol, capped by Max Long/Max Short multipliers. Quantity is computed from equity; futures are rounded to whole contracts. Rebalance cadence & execution. Trades are placed on Weekly / Monthly / Quarterly rebalance bars or when the sign of exposure flips. Optional ATR stop/TP for single-stock style risk management. Inputs you’ll actually tweak General Signal Timeframe: Where macro is sampled (e.g., D/W). Rebalance Frequency: Weekly / Monthly / Quarterly. ROC & SMA lengths: Defaults for theme momentum and the 200D regime filter. Normalization: Z-score (tanh) on/off. Winsorization Toggle, lookback, multiplier, MAD vs Stdev. Risk / Sizing Target Annualized Vol & Realized Vol Lookback. Direction (Long/Short/Both) and Invert. Max long/short exposure caps. Advanced Thresholds Theme/Composite smoothing lengths. Entry/Exit bands (hysteresis). Regime / Execution Long-only above 200MA, Short-only below 200MA. Stops/TP (optional) ATR length and SL/TP multiples. Theme Weights Per-theme scalars so you can push/pull emphasis (e.g., overweight Policy during rate cycles). Macro Proxies Symbols for each theme (XLI, XLU, HG1!, GC1!, DXY, US10Y, US02Y, VIX, HYG, IEF). Swap to alternatives as needed (e.g., UUP for DXY). Signals & logic (under the hood) Business Cycle = ½ ROC(XLI/XLU) + ½ ROC(Copper/Gold), then confirmed by (price > 200SMA ? +1 : −1). Trade / USD = −ROC(DXY). Monetary Policy = 0.6·ROC(10Y–2Y) − 0.4·ROC(10Y). Risk Sentiment = −0.6·ROC(VIX) + 0.4·ROC(HYG/IEF). Each theme → (optional Winsor) → (robust z or scaled ROC) → tanh → SMA smoothing. Composite = weighted average → LSMA smoothing → compare to bands → dir ∈ {−1,0,+1}. Rebalance & flips. Orders fire on your chosen cadence or when the sign of exposure changes. Position size. exposure = clamp(TargetVol / realizedVol, maxLong/Short) × dir. Note: The script also exposes Gross Exposure (% equity) and Signed Exposure (× equity) as diagnostics. These can help you audit how vol-targeting and caps translate into sizing over time. Visuals & alerts Composite line + columns (color/intensity reflect direction & strength). Entry/Exit bands with green/red fills for quick polarity reads. Hidden plots for each Theme if you want to show them. Optional rebalance labels (direction, gross & signed exposure, σ). Background heatmap keyed to Composite. Alerts Enter/Inc LONG when Composite crosses up (and on rebalance bars). Enter/Inc SHORT when Composite crosses down (and on rebalance bars). Exit to FLAT when Composite returns toward neutral (and on rebalance bars). Practical tips Start higher timeframes. Daily signals with Monthly rebalance are a good baseline; weekly signals with quarterly rebalances are even cleaner. Tune Entry/Exit bands before anything else. Wider bands = fewer trades and less noise. Weights reflect regime. If policy dominates markets, raise Monetary Policy weight; if credit stress drives moves, raise Risk Sentiment. Proxies are swappable. Use UUP for USD, or futures-continuous symbols that match your data plan. Futures vs ETFs. Quantity auto-rounds for futures; ETFs accept fractional shares. Check contract multipliers when interpreting exposure. Caveats Macro proxies can repaint at the selected signal timeframe as higher-TF bars form; that’s intentional for macro sampling, but test live. Vol targeting assumes reasonably stationary realized vol over the lookback; if markets regime-shift, revisit volLook and targetVol. If you disable normalization/winsorization, themes can become spikier; expect more hysteresis band crossings. What to change first (quick start) Set Signal Timeframe = D, Rebalance = Monthly, Z-score on, Winsor on (MAD). Entry/Exit bands: 0.25 / 0.12 (defaults), then nudge until trade count and turnover feel right. TargetVol: try 10% for diversified indices; lower for single stocks, higher for vol-sell strategies. Leave weights = 1.0 until you’ve inspected the four theme lines; then tilt deliberately.
Pine Script®策略
由GabrielAmadeusLau提供
Not Your Daddy's EMA CrossoverNot Your Daddy's EMA Crossover - Quick Guide What It Does This isn't your typical 50/200 EMA crossover. It uses academically-proven, optimized EMA periods specifically backtested for crypto markets. Instead of generic settings, it adapts to different trading styles with research-backed parameter combinations that have demonstrated real returns. Core Logic Enters when fast EMA crosses slow EMA in the trend direction (confirmed by 200 SMA filter) Exits either on opposite EMA cross (trend-following) or at fixed profit targets (scalping) Uses a 200 SMA to filter trades - only longs above it, only shorts below it Key Settings & Toggles 1. Trading Style (Auto-adjusts EMA periods): "15 Min Scalping": 9/21 EMA - Fast-paced, frequent signals "1 Hour Swing": 13/48 EMA - For swing trading "Daily Trend": 15/150 MA - Captured +97.87% in bull runs 2. Entry Method: "Crossover Entry": Enters immediately on EMA cross "Pullback to EMA Entry": Waits for first pullback to slow EMA (better risk/reward) 3. Exit Method: "EMA Cross Exit": Trend-following, lets winners run until EMAs reverse "Fixed % Target (Scalping)": Quick 0.5-1% profits with tight stops 4. Optional Features: MACD Confirmation: Adds 6-15-1 MACD filter for higher-probability setups Periodic Compounding: Compounds every 30 hours (research shows 1-30 hour compounding is optimal) Recommended Timeframes 📊 Match your chart to your selection: Select "15 Min Scalping" → Use 15-minute chart Select "1 Hour Swing" → Use 1-hour chart Select "Daily Trend" → Use daily chart I personally like this on the daily, which coincidentally is printing a long signal today on Bitcoin. Enjoy!
Pine Script®策略
由MonkeyPhone提供
Universal Breakout Strategy [KedArc Quant]Description: A flexible breakout framework where you can test different logics (Prev Day, Bollinger, Volume, ATR, EMA Trend, RSI Confirm, Candle Confirm, Time Filter) under one system. Choose your breakout mode, and the strategy will handle entries, exits, and optional risk management (ATR stops, take-profits, daily loss guard, cooldowns). An on-chart info table shows live mode values (like Prev High/Low, Bollinger levels, RSI, etc.) plus P&L stats for quick analysis. Use it to compare which breakout style works best on your instrument and timeframe, whether intraday, swing, or positional trading 🔑 Why it’s useful * Flexibility: Switch between breakout strategies without loading different indicators. * Clarity: On-chart info table displays current mode, relevant indicator levels, and live strategy P&L stats. * Testing efficiency: Quickly A/B test different breakout styles under the same backtest environment. * Transparency: Every trade is rule-based and displayed with entry/exit markers. 🚀 How it helps traders * Lets you experiment with breakout strategies quickly without loading multiple scripts. * Helps identify which breakout method fits your instrument & timeframe. * Gives clear on-chart visual + statistical feedback for confident decision-making. ⚙️ Input Configuration * Breakout Mode → choose which strategy to test: * *Prev Day* → breakouts of yesterday’s High/Low. * *Bollinger* → Upper/Lower BB pierce. * *Volume* → Breakout confirmed with volume above average. * *ATR Stop* → Wide range breakout using ATR filter. * *Time Filter* → Breakouts inside defined session hours. * *EMA Trend* → Breakouts only in EMA fast > slow alignment. * *RSI Confirm* → Breakouts with RSI confirmation (e.g. >55 for longs). * *Candle Confirm* → Breakouts validated by bullish/bearish candle. * Lookback / ATR / Bollinger inputs → adjust sensitivity. * Intrabar mode → option to evaluate breakouts using bar highs/lows instead of closes. * Table options → show/hide info table, show/hide P&L stats, choose corner placement. 📈 Entry & Exit Logic * Entry → occurs when breakout condition of chosen mode is met. * Exit → default exits via opposite signals or optional stop/target if enabled. * Session filter → optional auto-flat at session end. * P&L management → optional daily loss guard, cooldown between trades, and ATR-based stop/take profit. ❓ FAQ — Choosing the best setup Q: Which strategy should I use for which chart? * *Prev Day Breakouts*: Best on indices, FX, and liquid futures with strong daily levels. * *Bollinger*: Works well in range-bound environments, or crypto pairs with volatility compression. * *Volume*: Good on equities where breakout strength is tied to volume spikes. * *ATR Stop*: Suits volatile instruments (commodities, crypto). * *EMA Trend*: Useful in trending markets (stocks, indices). * *RSI Confirm*: Adds momentum filter, better for swing trades. * *Candle Confirm*: Ideal for scalpers needing visual confirmation. * *Time Filter*: For intraday traders who want signals only in high-liquidity sessions. Q: What timeframe should I use? * Intraday traders → 5m to 15m (Time Filter, Candle Confirm). * Swing traders → 1H to 4H (EMA Trend, RSI Confirm, ATR Stop). * Position traders → Daily (Prev Day, Bollinger). * Breakout A trade entry condition triggered when price crosses above a resistance level (for longs) or below a support level (for shorts). * Prev Day High/Low Formula: Prev High = High of (Day ) Prev Low = Low of (Day ) * Bollinger Bands Formula: Basis = SMA(Close, Length) Upper Band = Basis + (Multiplier × StdDev(Close, Length)) Lower Band = Basis – (Multiplier × StdDev(Close, Length)) * Volume Confirmation A breakout is only valid if: Volume > SMA(Volume, Length) * ATR (Average True Range) Measures volatility. Formula: ATR = SMA(True Range, Length) where True Range = max(High–Low, |High–Close |, |Low–Close |) * EMA (Exponential Moving Average) Weighted moving average giving more weight to recent prices. Formula: EMA = (Price × α) + (EMA × (1–α)) with α = 2 / (Length + 1) * RSI (Relative Strength Index) Momentum oscillator scaled 0–100. Formula: RSI = 100 – (100 / (1 + RS)) where RS = Avg(Gain, Length) ÷ Avg(Loss, Length) * Candle Confirmation Bullish candle: Close > Open AND Close > Close Bearish candle: Close < Open AND Close < Close Win Rate (%) Formula: Win Rate = (Winning Trades ÷ Total Trades) × 100 * Average Trade P&L Formula: Avg Trade = Net Profit ÷ Total Trades 📊 Performance Notes The Universal Breakout Strategy is designed as a framework rather than a single-asset optimized system. Results will vary depending on the chart, timeframe, and asset chosen. On the current defaults (15-minute, INR-denominated example), the backtest produced 132 trades over the selected period. This provides a statistically sufficient sample size. Win rate (~35%) is relatively low, but this is balanced by a positive reward-to-risk ratio (~1.8). In practice, a lower win rate with larger wins versus smaller losses is sustainable. The average P&L per trade is close to breakeven under default settings. This is expected, as the strategy is not tuned for a single symbol but offered as a universal breakout framework. Commissions (0.1%) and slippage (1 tick) are included in the simulation, ensuring realistic conditions. Risk management is conservative, with order sizing set at 1 unit per trade. This avoids over-leveraging and keeps exposure well under the 5-10% equity risk guideline. 👉 Traders are encouraged to: Experiment with inputs such as ATR period, breakout length, or Bollinger parameters. Test across different timeframes and instruments (equities, futures, forex, crypto) to find optimal setups. Combine with filters (trend direction, volatility regimes, or volume conditions) for further refinement. ⚠️ 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®策略
由kedarcquant提供
3
AstraAlgo BacktesterOVERVIEW The AstraAlgo Backtester allows traders to simulate and evaluate trading strategies directly on TradingView. By simulating trades across different timeframes and markets, it provides valuable insights into win rates, drawdowns, and overall strategy effectiveness. SIGNAL MODES Signal Modes generate proprietary trade signals based on live price data. Users can choose between Off, Basic, Advanced, or Custom modes to evaluate strategies under different conditions and refine their trading approach. ADJUSTABLE BACKTESTING Parameters for historical simulations can be customized to test different market conditions and trading scenarios. This allows traders to measure strategy performance, including win rate, profit/loss, and risk/reward ratios, helping refine and optimize strategies before live execution. BAR COLORING Bar Coloring highlights bullish and bearish bars on historical charts, allowing traders to visually assess trend direction and trade outcomes during backtesting. This makes it easier to analyze momentum and strategy effectiveness at a glance. ASTRA CLOUD Astra Cloud overlays dynamic support and resistance levels on live price data. These zones adapt automatically to past market movements, helping traders identify areas where trades would have reacted, aiding strategy evaluation and optimization.
Pine Script®策略
由AstraAlgo提供
Apex Squeeze Breakout Strategy [by SKC]This is the official strategy version of the Apex Squeeze Breakout Trading System (v2.5 by SKC) indicator. 🔍 This script replicates the exact logic and trade behavior of the indicator, including: Multi-factor scoring system (volume spike, squeeze, RSI recovery, momentum breakout, gap) Supertrend-based trend bias and override logic ATR-based dynamic SL/TP Breakeven stop-loss shift after T1 hit Trade logic works for both swing and day trading styles via a toggle 📈 Settings: Use isDayTrading = true for 5m/15m charts Use isDayTrading = false for 1H–Daily swing setups ⚠️ This strategy does not use repainting or offset entries. Backtest results are directly aligned with real-time signals from the original indicator. ✅ Use this strategy to backtest ticker performance, identify high-confidence symbols, and create forward trade plans based on proven edge.
Pine Script®策略
由samaun_khalid提供
LeiRos PRO — Smart Entry & Target System⚡ Short Description LeiRos PRO is more than an indicator. It is an intelligent next-generation analytical tool designed to visualize the true trajectory of market movement. It reveals the hidden mechanics of price — the attraction points where liquidity is collected and extremes are updated before reversal. 🟢 During bullish phases, the market often reaches for previous highs. Green points of LeiRos PRO highlight the levels price is most likely to reach before completing the impulse. ⚪ In bearish phases, the market tends to sweep uncollected lows. White points indicate where stop hunts and local reversals commonly occur. Built upon the interaction of EMA20 / EMA50 / EMA200, volatility analysis and momentum strength, LeiRos PRO doesn’t just mark levels — it displays realistic targets price is drawn to with high probability. 📈 The higher the timeframe, the clearer and more stable the picture becomes. On H1 and above, the plotted points act as reference zones for those seeking structured, logical price behavior rather than noise. 💡 The main advantage of LeiRos PRO is clarity — it removes guessing. You see where price tends to move and where impulses are likely to end. This is not theory — it’s market behavior visualized. 📘 Full Description LeiRos PRO is a proprietary analytical tool created to precisely visualize directional bias, target zones, and protective stop areas. It combines trend structure, volatility, and price action logic — helping traders see the key areas where the market’s intent becomes clear. 📈 Core Features: Automatic trend detection: analyzes direction using EMA20, EMA50, and EMA200 to define the dominant side of the market. Target visualization (Take-Profit): marks potential liquidity-grab zones where price often completes its move. Protective stop zones (Stop-Loss): highlights areas where logical stops can be placed based on current structure. Adaptive to timeframe: higher timeframes provide cleaner and more reliable reference points, suitable for short-, medium-, and long-term analysis. ⚙️ Recommended Use: As a visual analytical tool for confirming trade direction. On lower TFs — for identifying intraday entry points and potential objectives. On higher TFs (H1 and above) — for building overall market context and defining major targets. Marked points are not entry signals, but contextual reference zones showing potential areas of liquidity collection or impulse completion. ⚠️ Disclaimer: LeiRos PRO is an analytical and visualization tool, not a trading signal or guarantee of results. All trading decisions, entries, exits, and risk management remain solely the responsibility of the user. ✳️ Note: This indicator is part of the LeiRos Project, which develops intelligent systems for advanced market analysis and visualization. Displayed levels adapt dynamically to volatility and timeframe, providing a flexible view of current market structure.
Pine Script®策略
由Veloria-PRO-Clien提供
Apex Squeeze Breakout Strategy (v1.0 by SKC)The Apex Squeeze Breakout Strategy is a powerful momentum-based system designed to capture explosive price moves following periods of low volatility compression (squeeze). It combines five key conditions to validate high-probability breakouts: 🔵 TTM Squeeze Detection using Bollinger Bands and Keltner Channels 🔊 Volume Spike Confirmation relative to a moving average 📈 Breakout Trigger above/below a recent high/low range 💪 Momentum Acceleration using percentage change over time ♻️ RSI Recovery / Overbought Logic to confirm shift in strength The strategy includes: Configurable swing/day trading modes Dynamic ATR-based Stop Loss and TP1/TP2 system Modular input structure for easy customization Clear entry/exit visual markers and trade zones It’s designed for disciplined traders who want to catch high-energy moves after consolidation, suitable for both intraday and swing setups.
Pine Script®策略
由samaun_khalid提供
KD The ScalperWe have to take the trade when all three EMAs are pointing in the same direction (no criss-cross, no up/down, sideways). All 3 EMAs should be cleanly separated from each other with strong spacing between them; they are not tangled, sideways, or messy. This is our first filter before entering the trade. Are the EMAs stacked neatly, and is the price outside of the 25 EMA? If price pulls back and closes near or below the 25 or 50 EMA and breaks the 100 EMA, we don't trade. Use the 100 EMA as a safety net and refrain from trading if the price touches or falls below the 100 EMA. 1. Confirm the trend- All 3 EMAs must align, and they must spread 2. Watch price pull back to the 25th or the 50 EMA 3. Wait for the price to bounce - And re-approach the 25 EMA Why is this powerful? Removes 80% of the low-probability Trades It keeps you out of choppy markets Avoids Reversal Traps Anchors us to momentum We take the entry when the price moves up again and touches the 25 EMA from below, and then when it breaks above the 25 EMA, or even better, when a lovely green bullish candle forms. A bullish candle indicates good momentum. When a bullish candle closes in green, it means the momentum has increased significantly. This is when we enter a long trade, with the stop-loss just below the 50 EMA and the profit target being 1.5 times the stop-loss. The same rule applies to the bearish trade.
Pine Script®策略
由krish16887提供
1
Liquidity+FVG+OB Strategy (v6)How the strategy works (summary) Entry Long when a Bullish FVG is detected (optionally requires a recent Bullish OB). Entry Short when a Bearish FVG is detected (optionally requires a recent Bearish OB). Stop Loss and Take Profit are placed using ATR multiples (configurable). Position sizing is fixed contract/lot size (configurable). You can require OB confirmation (within ob_confirm_window bars). Alerts still exist and visuals are preserved.
Pine Script®策略
由shiyamsunder87提供
Quantura - Quantified Price Action StrategyIntroduction “Quantura – Quantified Price Action Strategy” is an invite-only Pine Script strategy designed to combine multiple price action concepts into a single trading framework. It integrates supply and demand zones, liquidity sweeps and runs, fair value gaps (FVGs), RSI filters, and EMA trend confirmation. The strategy also provides a visual overlay with dynamic trend-colored candles for easier chart interpretation. It is intended for multi-market use across cryptocurrencies, Forex, equities, and indices. Originality & Value The strategy is original in how it unifies several institutional-style price action elements and validates trades only when they align. This reduces noise compared to using single indicators in isolation. Its unique value lies in the combination of: Supply & Demand detection: Dynamic boxes identified through pivots, ATR, and volume sensitivity. Liquidity sweeps and runs: Detects when swing highs/lows are broken and retested, distinguishing between liquidity grabs (sweeps) and directional runs. RSI filter: Can be set to normal or aggressive, confirming momentum before trades. Fair Value Gaps (FVGs): Optional detection and filtering of price inefficiencies. EMA filter: Aligns trades with the broader market trend. Trend candle visualization: Candles dynamically colored bullish, bearish, or neutral, based on strategy positions. This layered confluence approach ensures that entries are not taken on a single condition but require agreement across several dimensions of market structure, momentum, and order flow. Functionality & Indicators Supply & Demand Zones: Zones are created when pivots, ATR sensitivity, and volume thresholds overlap. Liquidity: Swing highs and lows are tracked, with options for sweep (fakeout/reversal) or run (continuation) detection. RSI: Confirms long signals when oversold and shorts when overbought, with configurable aggressiveness. FVG filter: Adds validation by requiring price interaction with inefficiency zones. EMA filter: Ensures longs are above EMA and shorts below EMA. Signals & Visualization: Trade entries are marked on the chart, while candles change color to reflect trade direction and status. Parameters & Customization Supply & Demand: Sensitivity (swing range, volume multiplier, ATR multiplier) and display options. Liquidity filter: Mode (Run or Sweep), display, and swing length. RSI: Enable/disable, length, and style (normal or aggressive). Fair Value Gaps: Sensitivity via ATR factor, optional volume filter, and display toggles. EMA: Length, enable/disable, and visualization. Risk management: Up to three configurable take-profit levels, stop-loss, break-even logic, and capital-based position sizing. Visualization: Custom candle coloring and optional overlay for better clarity. Default Properties (Strategy Settings) Initial Capital: 10,000 USD Position Size: 100% of equity per trade (backtest default) Commission: 0.1% Slippage: 1 Pyramiding: 0 (only one position at a time) Note: The default of 100% equity per trade is used for testing purposes only and would not be sustainable in real trading. A typical allocation in practice would be between 1–5% of account equity per trade, sometimes up to 10%. Backtesting & Performance Backtests on XPTUSD over 2.5 years with the default settings produced: 129 trades 73.64% win rate Profit factor: 2.6 Maximum drawdown: 18.2% These results show how the confluence of supply/demand, liquidity, and RSI filters can produce robust setups. However, past performance does not guarantee future results. While the trade count (129) is sufficient for statistical analysis, results may vary across markets and timeframes. Risk Management Three configurable take-profit levels with percentage allocation. Initial stop-loss based on user-defined percentage. Dynamic stop-loss that adjusts with market movement. Break-even logic that shifts stops to entry after predefined gains. Position sizing based on risk percentage of equity. This framework allows both conservative and aggressive configurations, depending on user preference. Limitations & Market Conditions Works best in volatile and liquid markets such as crypto, metals, indices, and FX. May produce false signals in low-volume or sideways environments. Unexpected news or macro events can override technical conditions. Default position sizing of 100% equity is highly aggressive and should be reduced before any practical use. Usage Guide Add “Quantura – Quantified Price Action Strategy” to your chart. Select Supply & Demand, Liquidity, RSI, EMA, and FVG settings according to your market and timeframe. Configure risk management: take-profits, stop-loss, and risk-per-trade percentage. Use the Strategy Tester to analyze statistics, equity curve, and performance under different conditions. Optimize parameters before applying the strategy to different markets. Author & Access Developed 100% by Quantura. Published as an Invite-Only script. Access is available upon request via the Author’s Instructions field. Important This description complies with TradingView’s publishing rules. It clarifies originality, explains the underlying logic, discloses default properties, and presents backtest results with realistic disclaimers.
Pine Script®策略
由Quantura提供
Hosoda’s CloudsMany investors aim to develop trading systems with a high win rate, mistakenly associating it with substantial profits. In reality, high returns are typically achieved through greater exposure to market trends, which inevitably lowers the win rate due to increased risk and more volatile conditions. The system I present, called “Hosoda’s Clouds” in honor of Goichi Hosoda , the creator of the Ichimoku Kinko Hyo indicator, is likely one of the first profitable systems many traders will encounter. Designed to capture trends, it performs best in markets with clear directional movements and is less suitable for range-bound markets like Forex, which often exhibit lateral price action. This system is not recommended for low timeframes, such as minute charts, due to the random and emotionally driven nature of price movements in those periods. For a deeper exploration of this topic, I recommend reading my article “Timeframe is Everything”, which discusses the critical importance of selecting the appropriate timeframe. I suggest testing and applying the “Hosoda’s Clouds” strategy on assets with a strong trending nature and a proven track record of performance. Ideal markets include Tesla (1-hour, 4-hour, and daily), BTC/USDT (daily), SPY (daily), and XAU/USD (daily), as these have consistently shown clear directional trends over time. Commissions and Configuration Commissions can be adjusted in the system’s settings to suit individual needs. For evaluating the effectiveness of “Hosoda’s Clouds,” I’ve used a standard commission of $1 per order as a baseline, though this can be modified in the code to accommodate different brokers or preferences. The margin per trade is set to $1,000 by default, but users are encouraged to experiment with different margin settings in the configuration to match their trading style. Rules of the “Hosoda’s Clouds” System (Bullish Strategy) This strategy is designed to capture trending movements in bullish markets using the Ichimoku Kinko Hyo indicator. The rules are as follows: Long Entry: A long position is triggered when the Tenkan-sen crosses above the Kijun-sen below the Ichimoku cloud, identifying potential reversals or bounces in a bearish context. Stop Loss (SL): Placed at the low of the candle 12 bars prior to the entry candle. This setting has proven optimal in my tests, but it can be adjusted in the code based on risk tolerance. Take Profit (TP): The position is closed when the Tenkan-sen crosses below the bottom of the Ichimoku cloud (the minimum of Senkou Span A and Senkou Span B). Notes on the Code margin_long=0: Ideal for strategies requiring a fixed position size, particularly useful for manual entries or testing with a constant capital allocation. margin_long=100: Recommended for high-frequency systems where positions are closed quickly, simulating gradual growth based on realized profits and reflecting real-world broker constraints. System Performance The following performance metrics account for $1 per order commissions and were tested on the specified assets and timeframes: Tesla (H1) Trades: 148 Win Rate: 29.05% Period: Jan 2, 2014 – Jan 6, 2020 (+172%) Simple Annual Growth Rate: +34.3% Trades: 130 Win Rate: 30.77% Period: Jan 2, 2020 – Sep 24, 2025 (+858.90%) Simple Annual Growth Rate: +150.7% Tesla (H4) Trades: 102 Win Rate: 32.35% Period: Jun 29, 2010 – Sep 24, 2025 (+11,356.36%) Simple Annual Growth Rate: +758.5% Tesla (Daily) Trades: 56 Win Rate: 35.71% Period: Jun 29, 2010 – Sep 24, 2025 (+3,166.64%) Simple Annual Growth Rate: +211.5% BTC/USDT (Daily) Trades: 44 Win Rate: 31.82% Period: Sep 30, 2017 – Sep 24, 2025 (+2,592.23%) Simple Annual Growth Rate: +324.8% SPY (Daily) Trades: 81 Win Rate: 37.04% Period: Jan 23, 1993 – Sep 24, 2025 (+476.90%) Simple Annual Growth Rate: +14.3% XAU/USD (Daily) Trades: 216 Win Rate: 32.87% Period: Jan 6, 1833 – Sep 24, 2025 (+5,241.73%) Simple Annual Growth Rate: +27.1% SPX (Daily) Trades: 217 Win Rate: 38.25% Period: Feb 1, 1871 – Sep 24, 2025 (+16,791.02%) Simple Annual Growth Rate: +108.1% Conclusion With the “ Hosoda’s Clouds ” strategy, I aim to showcase the potential of technical analysis to generate consistent profits in trending markets, challenging recent doubts about its effectiveness. My goal is for this system to serve as both a practical tool for traders and a source of inspiration for the trading community I deeply respect. I hope it encourages the creation of new strategies, fosters creativity in technical analysis, and empowers traders to approach the markets with confidence and discipline.
Pine Script®策略
由Especulador96提供
2
TrendIsYourFriend Strategy (SPY,IWM,VYM,XLK,SPXL,BTC,GOLD,VT...)Personal disclaimer Don’t trust this strategy. Don’t trust any other model either just because of its author or a backtest curve. Overfitting is an easy trap, and beginners often fall into it. This script isn’t meant to impress you. It’s meant to survive reality. If it does, maybe it will raise questions and you’ll remember it. Legal disclaimer Educational purposes only. Not financial advice. Past performance is not indicative of future results. Strategy description Long-only, trend-based logic with two entry types (trend continuation or excess-move reversion), dynamic stop-losses, and a VIX filter to avoid turbulent markets. Minimal number of parameters with enough trades to support robustness. For backtest, each trade is sized at $10,000 flat (no compounding, to focus on raw model quality and the regularity of its results over time). Fees = $0 (neutral choice, as brokers differ). Slippage = $0, deliberate choice: most entries occur on higher timeframes, and some assets start their history on charts at very low prices, which would otherwise distort results. What makes this script original Beyond a classical trend calculation, both excess-move entries and dynamic stop-loss exits also rely on trend logic. Except for the VIX filter, everything comes from trend functions, with very few parameters. Pre-configurations are fixed in the code, allowing sincere performance tracking across a dozen cases over the medium to long term. Allowed SPY (ARCA) — 2-hour chart: S&P 500 ETF, most liquid equity benchmark IWM (ARCA) — Daily chart: Russell 2000 ETF, US small caps VYM (ARCA) — Daily chart: Vanguard High Dividend Yield ETF XLK (ARCA) — Daily chart: Technology Select Sector SPDR SPXL (ARCA) — Daily chart: 3× leveraged S&P 500 ETF BTCUSD (COINBASE) — 4-hour chart: Bitcoin vs USD GOLD (TVC) — Daily chart: Gold spot price VT (ARCA) — Daily chart: Vanguard Total World Stock ETF PG (NYSE) — Daily chart: Procter & Gamble Co. CQQQ (ARCA) — Daily chart: Invesco China Technology ETF EWC (ARCA) — Daily chart: iShares MSCI Canada ETF EWJ (ARCA) — Daily chart: iShares MSCI Japan ETF How to use and form an opinion on it Works only on the pairs above. Feel free to modify the input parameters (slippage, fees, order size, margins, …) to see how the model behaves under your own conditions Compare it with a simple Buy & Hold (requires an order size of 100% equity). You may also want to look at its time-in-market — the share of time your capital is actually at risk. Finally, let me INSIST on this : let it run live for months before forming an opinion! Share your thoughts in the comments 🚀 if you’d like to discuss its live performance.
Pine Script®策略
由Email-Trader提供
6
TradeMastersAlgoOur strategy is a long only algorithm that has produced repeatable positive results in both back testing and live testing. The code is our proprietary IP. Users may have a 30 free trial to experiment with our strategy. Results are not guaranteed. This strategy was created for automated day trading a fully funded margin account. Please exercise caution and discipline when using any strategy. We've had the most positive results with heavy diversification (40 tickers trading 5% equity each). Ticker selection, timeframe, and chart type ( we use standard candles ) are up to the user. We encourage you to keep your own method to your self to prevent the dilution of your strategy.
Pine Script®策略
由trademastersalgo提供
NQ Scalping System (1-Min Optimized) — StrategyNQ Scalping System — What this does (in plain English) You’re buying pullbacks in an uptrend and selling pullbacks in a downtrend. Trend = EMA89. Entries lean on EMA8/EMA21 touches + a StochRSI reset & cross so you’re not chasing candles. Optional Volume and MACD filters keep you out of weak moves. A time window avoids dead markets and the first noisy minute. Long setup Price above EMA89 (trend up) Price pulls back to EMA8 (or EMA21 if fallback is on) by at least your Min Pullback (NQ points) StochRSI resets to oversold and %K crosses up %D (Optional) Volume thrust and MACD momentum confirm Within your session window Short = mirror image. Exits you control Stop/Target: ATR-based (adaptive) or fixed scalp points Trailing stop: only arms after price moves your way by X points, then trails by your offset Early exit options: StochRSI fade, EMA break, trend break, or opposite divergence Quick scalp: grab a few points or bail after X bars if nothing happens Reality check This is a rules → orders system. It will not match eyeballed indicator labels. Fills, gaps, and trail behavior are real. That’s the point. How I’d run it (defaults that won’t waste your time) Use ATR stops/targets by default EMA21 fallback = ON (you’ll miss fewer good pullbacks) MACD filter = ON when choppy; OFF when trends are clean Volume multiplier: start modest, bump it up if you get chopped Session: keep RTH (e.g., 09:30–15:45 ET) and skip the first minute Quick presets for higher timeframes Use these as starting points and then nudge to taste. 5-Minute (intraday swings) OB/OS: 80 / 20 Volume Multiplier: 1.3 MACD: 8 / 21 / 5 ATR Stop× / Target×: 1.8–2.2 / 2.5–3.0 Min Pullback: 1.0–1.5 pts Quick Scalp: 6–10 pts, Bars: 12–20 Trailing: Activation 6–8 pts, Offset 3–4 pts Divergence: Hidden ON, MTF OFF 15-Minute (session legs) OB/OS: 85 / 15 Volume Multiplier: 1.4 MACD: 8 / 21 / 5 ATR Stop× / Target×: 2.0–2.5 / 3.0–4.0 Min Pullback: 1.5–2.5 pts Quick Scalp: 12–18 pts, Bars: 16–30 Trailing: Activation 10–14 pts, Offset 5–6 pts Divergence: Hidden ON, MTF ON (LTF = 5m) 30-Minute (bigger intraday trends) OB/OS: 88 / 12 Volume Multiplier: 1.5 MACD: 12 / 26 / 9 (or 8 / 21 / 5 if you want faster) ATR Stop× / Target×: 2.2–2.8 / 3.5–5.0 Min Pullback: 2.5–4.0 pts Quick Scalp: 18–28 pts, Bars: 20–40 Trailing: Activation 16–24 pts, Offset 6–8 pts Divergence: Hidden ON, MTF ON (LTF = 5m or 15m) 1-Hour (multi-hour swings) OB/OS: 90 / 10 Volume Multiplier: 1.6–1.8 MACD: 12 / 26 / 9 ATR Stop× / Target×: 2.5–3.5 / 4.0–6.0 Min Pullback: 4–7 pts Quick Scalp: 30–50 pts, Bars: 24–60 Trailing: Activation 28–40 pts, Offset 10–15 pts Divergence: Hidden ON, MTF ON (LTF = 15m) Tuning tips (read this) Getting chopped? Raise Min Pullback, raise Volume Multiplier, leave MACD ON, and narrow your session. Missing moves? Turn EMA21 fallback ON, lower Volume Multiplier, relax OB/OS (e.g., 75/25 on 5m). Flat days? Use Quick Scalp and a tighter Trail Activation to lock gains.
Pine Script®策略
由Steeldoor7089提供
[Outperforms Bitcoin Since 2011] Professional MA StrategyThis Strategy OUTPEFORMS Bitcoin since 2011. Timeframe: Daily MA used (Fast and Slow): WMA (Weighted Moving Average) Fast MA Length: 30 days (Reflects the Monthly Trend - Short Term Perspective) Slow MA Length: 360 days (Reflects the Annual Trend - Long Term Perspective) Position Size: 100% of equity Margin for Long = 10% of equity Margin for Short = 10% of equity Open Long = Typical Price Crosses Above its Fast MA and Price is above its Slow MA Open Short = Typical Price Crosses Below its Fast MA and Price is below its Slow MA Close Long = Typical Price Crosses Below its Fast MA Close Short = Typical Price Crosses Below its Fast MA note: Typical Price = (high + low + close) / 3
Pine Script®策略
由victhoreb提供
Weekend Hunter Ultimate v6.2 Weekend Hunter Ultimate v6.2 - Automated Crypto Weekend Trading System OVERVIEW: Specialized trading strategy designed for cryptocurrency weekend markets (Saturday-Sunday) when institutional traders are typically offline and market dynamics differ significantly from weekdays. Optimized for 15-minute timeframe execution with multi-timeframe confluence analysis. KEY FEATURES: - Weekend-Only Trading: Automatically activates during configurable weekend hours - Dynamic Leverage: 5-20x leverage adjusted based on market safety and signal confidence - Multi-Timeframe Analysis: Combines 4H trend, 1H momentum, and 15M execution - 10 Pre-configured Crypto Pairs: BTC, ETH, LINK, XRP, DOGE, SOL, AVAX, PEPE, TON, POL - Position & Risk Management: Max 4 concurrent positions, -30% account protection - Smart Trailing Stops: Protects profits when approaching targets RISK MANAGEMENT: - Maximum daily loss: 5% (configurable) - Maximum weekend loss: 15% (configurable) - Per-position risk: Capped at 120-156 USDT - Emergency stops for flash crashes (8% moves) - Consecutive loss protection (4 losses = pause) TECHNICAL INDICATORS: - CVD (Cumulative Volume Delta) divergence detection - ATR-based dynamic stop loss and take profit - RSI, MACD, Bollinger Bands confluence - Volume surge confirmation (1.5x average) - Weekend liquidity adjustments INTEGRATION: - Designed for Bybit Futures (0.075% taker fee) - WunderTrading webhook compatibility via JSON alerts - Minimum position size: 120 USDT (Bybit requirement) - Initial capital: $500 recommended TARGET METRICS: - Win rate target: 65% - Average win: 5.5% - Average loss: 1.8% - Risk-reward ratio: ~3:1 IMPORTANT DISCLAIMERS: - Past performance does not guarantee future results - Leveraged trading carries substantial risk of loss - Weekend crypto markets have 13% of normal liquidity - Not suitable for traders who cannot afford to lose their entire investment - Requires continuous monitoring and adjustment USAGE: 1. Apply to 15-minute charts only 2. Configure weekend hours for your timezone 3. Set up webhook alerts for automation 4. Monitor performance table in top-right corner 5. Adjust parameters based on your risk tolerance This is an experimental strategy for educational purposes. Always test with small amounts first and never invest more than you can afford to lose completely.
Pine Script®策略
由YOUNGPSI提供
Adaptive Cortex Strategy (Demo)Adaptive Cortex Strategy - The Smart, Adaptive Investment System Don't Get Lost in the Market Noise. Learn to Understand the Market. Every investor faces the same dilemma: Why does a strategy that worked perfectly yesterday struggle today when the market's character changes? Because the market isn't static. It's a dynamic structure that constantly changes, breathes, and enters different regimes. So, why shouldn't your strategy adapt to this dynamism? Adaptive Cortex Strategy (ACS) What is This Strategy? The Adaptive Cortex Strategy isn't just a simple indicator that gives you buy and sell signals. It's a holistic analysis framework that attempts to understand the changing nature of the market and adapt its decision-making mechanism accordingly. Its core philosophy is to identify data-driven, high-probability investment opportunities by combining (amalgamating) many different market dynamics. The strategy's power comes from its proprietary technology, which we call the "Smart Decision Engine." This engine performs two primary functions: Market Memory: The system continuously analyzes past significant market turning points and price levels. This allows the strategy to dynamically recognize and deeply understand the current market structure. Situational Awareness: The system continuously measures the current market "mood." It detects whether we are in a strong trend or indecisive sideways movement and automatically adjusts its analysis accordingly. This allows it to adopt the most appropriate approach in each market. What Does ACS Promise? Clarity: By transforming complex market data into clear, conclusive signals, it provides you with an objective perspective during decision-making. Discipline: With its rules-based structure, it helps you protect yourself from emotional traps like fear and greed, the market's greatest enemies. Adaptation: Instead of searching for a "one-size-fits-all" strategy, it offers a system logic that "adapts to every market." Risk Management: With advanced position management modules, it constantly reminds you that preserving capital is more important than making money. What Doesn't It Promise? Guaranteed Profit or the "Holy Grail": No system in the financial markets can offer 100% certainty. Losing trades are a natural and inevitable part of professional investing. ACS aims not to eliminate losses, but to manage them and statistically maximize profit potential. This is not a "run the robot and get rich" system. ACS is your most powerful analytical assistant, but the ultimate decision and responsibility always rest with the investor. The Dream of Getting Rich Overnight: Successful investing is a marathon, not a sprint. ACS is designed to help disciplined and patient investors achieve statistical advantage over the long term. Who Is This System Suitable For? For Beginner Investors: It offers a disciplined and structured roadmap that avoids emotional decisions and confusion. For Experienced Analysts: It serves as a powerful quantitative aid that validates or challenges their technical analysis. For Investors Seeking a System: It offers a professional-grade risk management framework that offers not only entry but also position management and multiple exit scenarios.
Pine Script®策略
由blntdmn提供