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Indicatori e strategie

RoboScalp-X: Precision Intraday Engine [NASDAQ Futures]RoboScalp-X is a precision-engineered intraday scalping and breakout strategy designed for U.S. futures markets — specifically Micro E-mini NASDAQ-100 (MNQ). It uses volatility-based breakout detection, strict stop-loss and target logic, and is optimized for short-duration trend scalps. 💹 Performance Snapshot Tested on MNQ (Jun 2025 – Oct 2025) Total Return: +2,348% Profit Factor: 1.83 Win Rate: 78% (170 / 217 trades) Max Drawdown: 50,500 USD 🧠 Why RoboScalp-X This system is ideal for traders who want automated precision trading in volatile U.S. indices, focusing on quick, high-accuracy entries. It’s built for algorithmic consistency — targeting small yet frequent profits while maintaining tight risk control. 📬 Get This Strategy or Build Your Own If you’d like to buy, customize, or develop a similar strategy for Futures, Forex, Crypto, or Indian markets, reach out here: 🌐 Upwork Profile - www.upwork.com 📧 manakthorat@gmail.com ⚠️ Disclaimer: This strategy is for educational and research purposes only. Market conditions may affect results; always use appropriate risk management and forward testing before applying to live trading.
Strategia Pine Script®
di manasthorat09
1
RoboScalp-X: Precision Intraday EngineRoboScalp-Buy 1.0 is a systematic scalping strategy built for the Indian indices such as NIFTY 50 and BANKNIFTY on the 15-minute timeframe. 💹 Performance Highlights: Tested on NIFTY 50 (2022–2025) Profit Factor: 1.61 Win Rate: 76% Total Return: +203% 📈 Designed for traders who want automated, data-backed scalping logic with high accuracy and risk management. 📬 Want to Get This Strategy or a Custom Version? If you’d like to buy, customize, or develop a similar strategy for your own trading, feel free to reach out: 🌐 Upwork Profile - www.upwork.com 📧 manakthorat@gmail.com ⚠️ For educational and research purposes only. Past performance does not guarantee future results.
Strategia Pine Script®
di manasthorat09
15
Traders Club RSI, EMA Strategy 🔻 Arun Gold 3H Power Indicator 🔻 Precision-Based Smart Sell System for Gold (XAU/USD) 💡 Overview This indicator is specifically designed for Gold (XAU/USD) and delivers best results on the 3-Hour Timeframe (3H TF). It is a Smart Money Logic-based Sell Confirmation System, combining institutional structure and candle behavior to generate highly accurate bearish signals. ⚙️ Technical Foundation The indicator uses multiple advanced confirmations: 📉 EMA Trend Filter → Confirms downtrend 💪 RSI Overbought Rejection → Momentum reversal signal 📊 MACD Bearish Cross → Confirms trend strength 🕯️ Bearish Candle Structure → Price action validation When all conditions align, a clear 🔻 Sell Signal is plotted on the chart. 💎 Hidden Feature This indicator includes a hidden feature that activates only when the correct market structure forms. It helps reduce false signals and increases accuracy without being visible on the chart — fully automated internal logic. 📆 Recommended Settings Symbol: XAU/USD (Gold) Timeframe: 3-Hour (3H) Market: Forex / Commodity Mode: Sell-Only Confirmation Indicator Performance: Best precision and consistency on 3H TF 📈 How to Use Select XAU/USD on chart and set 3H timeframe. Add the indicator to the chart. Wait for the 🔻 Sell Signal and confirm the market structure after candle close. Take entry according to your risk management. ⚠️ Disclaimer This indicator is for educational and analytical purposes only. No system is 100% accurate — always backtest and demo trade before using in real trading. 💬 Credits Developed by Ajay Sahu (India) Based on Institutional & Smart Money Logic Best results on 3H TF Hidden Algorithm for XAU/USD traders
Strategia Pine Script®
di lifeofarun
1
Arun R5.41🔻 Arun Gold 3H Power Indicator 🔻 Precision-Based Smart Sell System for Gold (XAU/USD) 💡 Overview This indicator is specifically designed for Gold (XAU/USD) and delivers best results on the 3-Hour Timeframe (3H TF). It is a Smart Money Logic-based Sell Confirmation System, combining institutional structure and candle behavior to generate highly accurate bearish signals. ⚙️ Technical Foundation The indicator uses multiple advanced confirmations: 📉 EMA Trend Filter → Confirms downtrend 💪 RSI Overbought Rejection → Momentum reversal signal 📊 MACD Bearish Cross → Confirms trend strength 🕯️ Bearish Candle Structure → Price action validation When all conditions align, a clear 🔻 Sell Signal is plotted on the chart. 💎 Hidden Feature This indicator includes a hidden feature that activates only when the correct market structure forms. It helps reduce false signals and increases accuracy without being visible on the chart — fully automated internal logic. 📆 Recommended Settings Symbol: XAU/USD (Gold) Timeframe: 3-Hour (3H) Market: Forex / Commodity Mode: Sell-Only Confirmation Indicator Performance: Best precision and consistency on 3H TF 📈 How to Use Select XAU/USD on chart and set 3H timeframe. Add the indicator to the chart. Wait for the 🔻 Sell Signal and confirm the market structure after candle close. Take entry according to your risk management. ⚠️ Disclaimer This indicator is for educational and analytical purposes only. No system is 100% accurate — always backtest and demo trade before using in real trading. 💬 Credits Developed by Ajay Sahu (India) Based on Institutional & Smart Money Logic Best results on 3H TF Hidden Algorithm for XAU/USD traders
Strategia Pine Script®
di lifeofarun
Adaptive Chikou Strategy - Level 1This strategy is based on the Ichimoku cloud system and the power of delaying the signal. I changed how the averages are calculated to better detect the range areas. The strategy uses this concept to determine the market regime, whether the price is below or above its delayed signal, and acts accordingly: Bull (green) – when the price is above the average of the highs, delayed, the strategy favors long entries. Bear (red) – when the price is below the average of the lows delayed, the strategy favors short entries. Range (brown) – when the percent rank is in between those 2 conditions, we detect range, and no trades are initiated. The transition between these regimes depends mainly on 4 key parameters. The first parameter controls the lookback period for the highest and lowest functions. The second controls how much we delay the signal of these 2 functions. The third adjusts how much range is detected in bull conditions; it changes the transition from bull to range conditions. The bigger it is, the less bull and the more range. The fourth parameter is similar to the third, but for bear conditions. The bigger it is, the less bear and the more range conditions are detected. The user can configure the strategy to run long-only, short-only, or both directions, depending on the market or preference. In addition to the core regime logic, the strategy includes several risk and trade management controls that are featured in all my strategies. Four oscillators are also integrated into the logic to detect short-term overbought and oversold conditions. These help the strategy avoid entering or exiting a trade when the price has already extended too far in one direction, improving timing and potentially reducing false entries and exits. When overbought or oversold are detected, a red or green dot appears on the chart. The script is designed to be flexible across different assets and timeframes. However, to achieve consistent results, it is important to optimize parameters carefully. A recommended workflow is as follows: Disable the walk-forward option during the optimization phase. Optimize the first main parameter while keeping others fixed. Once a satisfactory value is found, move to the second parameter. Continue the process for subsequent parameters. Optionally, repeat the full sequence once more to refine the results. Finally, activate walk-forward analysis and check the out-of-sample results. This strategy is published as invite-only with hidden source code. Access may be granted upon request for research or evaluation purposes. It is part of a broader collection of technical analysis strategies I have developed, which focus on regime detection and adaptive trading systems. There are five levels of strategy complexity and performance in my collection. This script represents a Level 1 strategy, designed as a solid foundation and introduction to the framework. More advanced levels progressively add greater complexity, adaptability, and robustness. When multiple strategies are combined under this same framework, the results become more robust and stable. In particular, combining my suite of technical analysis strategies with my macro strategies and alternative data strategies, such as onchain for cryptocurrencies. It creates a multi-layered system that adapts across regimes, timeframes, and market conditions.
Strategia Pine Script®
di mks17
Percent Rank Strategy - Level 1This strategy is based on the Percent Rank math, a statistical measure that evaluates how the current price compares to its historical prices over a specified lookback period. In simple terms, Percent Rank tells you the percentile position of the current price within a recent window, for example, a value of 80% means the price is higher than 80% of the previous prices in that period, while 20% means it’s lower than 80% of them. The strategy uses this concept to determine the market regime, whether price is high, low, or neutral relative to its recent range, and acts accordingly: Bull (green) – when the price percent rank is usually above 50% the price is normally high, and the strategy favors long entries. Bear (red) – when the price percent rank is usually below 50% the price is normally low, and the strategy favors short entries. Range (brown) – when the percent rank is in between those 2 conditions, we detect range, and no trades are initiated. The transition between these regimes depends mainly on 3 key parameters. The first parameter controls the maximum lookback period for the percent rank array and so the maximum cycle length. The second controls how much range is detected in bull conditions; it changes the transition from bull to range conditions. The bigger it is, the less bull and the more range. The third parameter is similar to the second, but for bear conditions. The smaller it is, the less bear and the more range conditions are detected. The user can configure the strategy to run long-only, short-only, or both directions, depending on the market or preference. In addition to the core regime logic, the strategy includes several risk and trade management controls that are featured in all my strategies. Four oscillators are also integrated into the logic to detect short-term overbought and oversold conditions. These help the strategy avoid entering or exiting a trade when the price has already extended too far in one direction, improving timing and potentially reducing false entries and exits. When overbought or oversold are detected, a red or green dot appears on the chart. The script is designed to be flexible across different assets and timeframes. However, to achieve consistent results, it is important to optimize parameters carefully. A recommended workflow is as follows: Disable the walk-forward option during the optimization phase. Optimize the first main parameter while keeping others fixed. Once a satisfactory value is found, move to the second parameter. Continue the process for subsequent parameters. Optionally, repeat the full sequence once more to refine the results. Finally, activate walk-forward analysis and check the out-of-sample results. This strategy is published as invite-only with hidden source code. Access may be granted upon request for research or evaluation purposes. It is part of a broader collection of technical analysis strategies I have developed, which focus on regime detection and adaptive trading systems. There are five levels of strategy complexity and performance in my collection. This script represents a Level 1 strategy, designed as a solid foundation and introduction to the framework. More advanced levels progressively add greater complexity, adaptability, and robustness. When multiple strategies are combined under this same framework, the results become more robust and stable. In particular, combining my suite of technical analysis strategies with my macro strategies and alternative data strategies, such as onchain for cryptocurrencies. It creates a multi-layered system that adapts across regimes, timeframes, and market conditions.
Strategia Pine Script®
di mks17
Correlation Cycle Strategy - Level 1This strategy is based on John Ehlers idea of the correlation cycle, and that markets often oscillate. They move up and down in cycles, though not perfectly sinusoidal, they can be approximated by a sinusoidal wave. This script measures the strength of the correlation between price and a range of ideal sine wave components of different periods. By doing this, we estimate which cycle length the market is most currently following and from that, we find the phase to learn in which part of the cycle we are in. Bull (green) – when price is at the bottom of the sinusoidal going to the top (positive phases), the strategy favors long entries. Bear (red) – when price is at the top of the sinusoidal going down to the bottom (negative phases), the strategy favors short entries. Range (brown) – when the phase is in the transition zones we detect range conditions and no trades are initiated. The transition between these regimes depends mainly on 3 key parameters. The first parameter controls the maximum lookback period for correlation detection and so the maximum cycle length. The second controls how much range is detected in bull conditions, it changes the transition from bull to range conditions. The bigger it is, the less bull and the more range. The third parameter is similar to the second, but for bear conditions. The bigger it is, the less bear and the more range conditions are detected The user can configure the strategy to run long-only, short-only, or both directions, depending on the market or preference. In addition to the core regime logic, the strategy includes several risk and trade management controls that are featured in all my strategies. Four oscillators are also integrated into the logic to detect short-term overbought and oversold conditions. These help the strategy avoid entering or exiting a trade when price has already extended too far in one direction, improving timing and potentially reducing false entries and exits. When overbought or oversold are detected, a red or green dot appears on the chart. The script is designed to be flexible across different assets and timeframes. However, to achieve consistent results, it is important to optimize parameters carefully. A recommended workflow is as follows: Disable the walk-forward option during the optimization phase. Optimize the first main parameter while keeping others fixed. Once a satisfactory value is found, move to the second parameter. Continue the process for subsequent parameters. Optionally, repeat the full sequence once more to refine the results. Finally, activate walk-forward analysis and check the out-of-sample results. This strategy is published as invite-only with hidden source code. Access may be granted upon request for research or evaluation purposes. It is part of a broader collection of technical analysis strategies I have developed, which focus on regime detection and adaptive trading systems. There are five levels of strategy complexity and performance in my collection. This script represents a Level 1 strategy, designed as a solid foundation and introduction to the framework. More advanced levels progressively add greater complexity, adaptability, and robustness. When multiple strategies are combined under this same framework, the results become more robust and stable. In particular, combining my suite of technical analysis strategies with my macro strategies and alternative data strategies, such as onchain for cryptocurrencies. It creates a multi-layered system that adapts across regimes, timeframes, and market conditions.
Strategia Pine Script®
di mks17
Alts Strategy 3.1Alts Strategy 3.1 is a long-term adaptive DCA system designed for spot investment management and portfolio scaling. It automatically accumulates and averages spot positions during market corrections, using layered Fibonacci supports and adaptive take-profit logic to optimize long-term entry efficiency. This strategy is built for investors and swing traders who prefer gradual accumulation over frequent trading. Instead of short-term entries and exits, it focuses on adding to positions at statistically favorable levels and reducing exposure near major resistance zones. Its adaptive nature allows users to simulate real investment behavior — buying lower, holding through volatility, and exiting strategically once recovery targets are reached. The core of the strategy is based on dynamic Fibonacci-derived support zones that react to historical price structures. When price approaches these zones, Alts Strategy 3.1 initiates or averages entries following cooldown rules and bear-cycle filters. The built-in bear-market filter recognizes historical cycle patterns (based on Bitcoin halving timelines) and temporarily blocks new entries during high-risk macro phases. Once the market exits a bear regime, the system reactivates, continuing long-term accumulation. The adaptive take-profit module adjusts target multipliers depending on recovery depth — distinguishing between “normal recovery” and “deep recovery” cycles. This approach helps maximize profit during sustainable uptrends while keeping long-term exposure moderate. All logic is handled internally without repainting, allowing accurate and consistent backtesting. Alts Strategy 3.1 is intended mainly for long-term investors, portfolio rebalancers, and spot market participants who use DCA (Dollar-Cost Averaging) logic to accumulate assets over time. It can be used to test different investment horizons, cooldown periods, and adaptive TP configurations directly in the Strategy Tester. Because it operates on real price action without leverage logic, it is ideal for simulating spot accumulation strategies and macro investment cycles. This tool is provided for educational and analytical purposes only. It is not financial advice or a trading signal system.
Strategia Pine Script®
di AxelAlts
Market Structure Strategy - Level 1This strategy identifies peaks and valleys (local tops and bottoms) in price to construct a dynamic market structure, labeling Higher Highs (HH), Lower Lows (LL), Higher Lows (HL), and Lower Highs (LH). From this evolving structure, the script determines the dominant market regime, which can be: Bull (green) – when price forms new highs and maintains a bullish structure, the strategy favors long entries. Bear (red) – when price forms new lows and confirms a bearish structure, the strategy favors short entries. Range (brown) – when price fluctuates between recent highs and lows, suggesting sideways conditions where no trades are initiated. The transition between these regimes depends mainly on four key parameters. The first parameter controls the lookback period into the past to find the top or bottom. The second controls the period of the looback to the right of the top or bottom. The “Entry Margin” parameter determines how much ranging behavior the model will detect before switching regimes. The 4 parameter select the source to construct the top and bottom, the close the wick, etc. The user can configure the strategy to run long-only, short-only, or both directions, depending on the market or preference. In addition to the core regime logic, the strategy includes several risk and trade management controls that are featured in all my strategies. Four oscillators are also integrated into the logic to detect short-term overbought and oversold conditions. These help the strategy avoid entering or exiting a trade when price has already extended too far in one direction, improving timing and potentially reducing false entries and exits. When overbought or oversold are detected, a red or green dot appears on the chart. The script is designed to be flexible across different assets and timeframes. However, to achieve consistent results, it is important to optimize parameters carefully. A recommended workflow is as follows: Disable the walk-forward option during the optimization phase. Optimize the first main parameter while keeping others fixed. Once a satisfactory value is found, move to the second parameter. Continue the process for subsequent parameters. Optionally, repeat the full sequence once more to refine the results. Finally, activate walk-forward analysis and check the out-of-sample results. This strategy is published as invite-only with hidden source code. Access may be granted upon request for research or evaluation purposes. It is part of a broader collection of technical analysis strategies I have developed, which focus on regime detection and adaptive trading systems. There are five levels of strategy complexity and performance in my collection. This script represents a Level 1 strategy, designed as a solid foundation and introduction to the framework. More advanced levels progressively add greater complexity, adaptability, and robustness. Finally, when multiple strategies are combined under this same framework, the results become more robust and stable. In particular, combining my suite of technical analysis strategies with my macro strategies and alternative data strategies, such as onchain for cryptocurrencies. It creates a multi-layered system that adapts across regimes, timeframes, and market conditions.
Strategia Pine Script®
di mks17
SabinaCounter-trend strategy working only in long. Principle of Operation The strategy is based on market extremes, which serve as both the signals for opening a position and for closing it. These extremes possess data such as Open, High, Low, Close, and others. The length and the shift (positive or negative) of the extremes are also configurable. The extreme Ext is used for closing the position, and the extreme Ent is used for opening the position. Base Order A dedicated percentage of the deposit is specified. If the price crosses the Ent extreme, a long position is opened. Take Profit and Stop Loss The Take Profit level is calculated from the average price. A trailing stop order is present by default, which is set by the Ext extreme. When the price crosses this extreme, the position will be closed if the Take Profit has not yet been reached. Grid of Orders (Averaging) This section allows for enabling or disabling the grid of orders. In the order grid, you can specify the percentage below the base order at which the grid's limit orders should be placed. The grid step is also configurable. The leverage for all orders, including the base order, is set here. The order grid consists of 10 orders, and each order can be assigned its own percentage of the deposit. This gives the strategy greater flexibility compared to a standard DCA (Dollar-Cost Averaging) grid. Information Panel A table displays the historical price drop at a given moment, providing some insight into the potential liquidation level based on the selected leverage. The table also shows the deposit utilization (how much of the deposit is currently tied up).
Strategia Pine Script®
di Len-in
Tight Entry Trend Engine Strategy═══════════════════════════════════════ TIGHT ENTRY TREND ENGINE ═══════════════════════════════════════ A breakout-based trend-following system designed to capture explosive moves by entering at precise resistance/support breakouts with minimal entry risk and massive profit potential. ⚠️ LOW WIN RATE, HIGH REWARD SYSTEM ⚠️ This is NOT a high win-rate strategy. Expect 25-35% winners, but when it hits, winners are typically 10X+ larger than losers. ═══════════════════════════════════════ 🎯 WHAT THIS SYSTEM DOES ═══════════════════════════════════════ The Tight Entry Trend Engine identifies powerful breakout opportunities by detecting when price breaks through established trendlines with confirmation from higher timeframe trends: 1. DYNAMIC TRENDLINE DETECTION (3 BANKS) • Automatically draws support and resistance trendlines • 3 separate "banks" capture short-term, medium-term, and long-term levels • Each bank has configurable parameters (required pivot touch count, angle limits, lengths) 2. BREAKOUT ENTRY TIMING • Enters LONG when price breaks ABOVE resistance trendlines • Enters SHORT when price breaks BELOW support trendlines • Entry Alert occurs at the exact moment of breakout = "tight entry" • Stop-loss placed just below/above the broken trendline (configurable) 3. HIGHER TIMEFRAME TREND FILTER • Uses Hull Moving Average (HMA) on higher timeframe for trend following • Auto-adjusts HTF based on your chart timeframe • Optional filters prevent entries against major trend • Optional "overextension" filter avoids buying parabolic moves 4. VOLATILITY-ADAPTIVE RISK MANAGEMENT • Stop-loss calculated using Average True Range (ATR) • Tighter stops = better R:R • Profit targets adjust dynamically with volatility • Breakeven stop moves automatically when in profit • Extended profit targets when far from HTF trend ═══════════════════════════════════════ 📊 HOW IT WORKS (METHODOLOGY) ═══════════════════════════════════════ STEP 1: TRENDLINE FORMATION The system continuously scans for pivot highs and pivot lows to construct trendlines. You control: BANK 1 (Short-Term): - Pivot Length: How many bars to look back for swing points - Min Touches: How many pivots needed to form a line (default: 3) - Max Length: How far back lines can reach (default: 180 bars) - Angle Limits: Maximum steepness allowed for valid trendlines - Tolerance: How close pivots must align to form horizontal lines BANK 2 (Medium-Term): - Slightly longer pivot periods for more significant levels - Captures medium-term trend structure - Default Max Length: 200 bars BANK 3 (Long-Term): - Focuses on major support/resistance zones - Often uses horizontal levels (angled lines disabled by default) - Default Max Length: 300 bars The system draws RESISTANCE lines (red) above price and SUPPORT lines (green) below price. These adapt in real-time as new pivots form. STEP 2: BREAKOUT DETECTION LONG SIGNALS: - Price closes above a resistance trendline - Higher timeframe trend is up (optional filter) - Price not overextended from HTF trend (optional filter) - No position currently open SHORT SIGNALS: - Price closes below a support trendline - Higher timeframe trend is down (optional filter) - Price not overextended from HTF trend (optional filter) - No position currently open The "tight" aspect: Because you're entering right at the trendline break, your stop-loss can be placed very close (just below the broken resistance for longs), creating exceptional risk/reward ratios. STEP 3: POSITION SIZING Choose between: - Fixed $ Risk Per Trade: Risk same dollar amount every trade - % Risk Per Trade: Risk percentage of current equity Position size automatically calculated based on: - Your risk amount - Distance to stop-loss (ATR-based) - Works with stocks, futures, crypto (auto-adjusts for contract multipliers) STEP 4: EXIT MANAGEMENT Multiple exit methods working together: - PROFIT TARGET: Exits when profit reaches 100x your risk - EXTENDED PROFIT: Earlier exit (80R) when very far from HTF trend - STOP LOSS: Fixed ATR-based stop below entry - HTF TREND EXIT: Exits when price crosses below HTF trend with profit - BREAKEVEN PULLBACK: Exits if profit drops below 0.6R after reaching breakeven - PARTIAL PROFITS: Optional - take partial profits at specified R-multiple ═══════════════════════════════════════ 🔧 KEY COMPONENTS EXPLAINED ═══════════════════════════════════════ HULL MOVING AVERAGE (HMA) A smoothed moving average that reduces lag compared to traditional MAs. The system uses HMA on a higher timeframe to determine the dominant trend direction. You can choose: - Auto HTF: System picks appropriate HTF based on your chart timeframe - Manual HTF: You specify the higher timeframe AVERAGE TRUE RANGE (ATR) Measures current market volatility. Used for: - Stop-loss distance (tighter when volatility low) - Profit targets (larger when volatility high) - Position sizing (smaller positions in volatile conditions) - Breakeven trigger distance TRENDLINE ANGLE FILTERING Each trendline bank has angle limits to ensure quality: - Resistance lines: Max downward/upward slope allowed - Support lines: Max downward/upward slope allowed - Angles automatically adjust based on current volatility - Prevents overly steep/unreliable trendlines SENSITIVITY CONTROL One master slider adjusts multiple parameters: - Trendline detection sensitivity - HTF MA length - Exit timing - Auto-adjusts for daily+ timeframes (60% increase) ═══════════════════════════════════════ ⚙️ WHAT YOU SEE ON YOUR CHART ═══════════════════════════════════════ TRENDLINES: ✓ Red resistance lines above price ✓ Green support lines below price ✓ Orange broken lines (past breakouts) ✓ Lines extend to show current levels HTF TREND: ✓ Thick colored line showing higher timeframe trend ✓ Color gradient: Red (bearish) → Orange → Yellow → Green (bullish) ✓ 250-bar smoothed curve for visual clarity ENTRY/EXIT SIGNALS: ✓ Small green dot below bar = Long entry ✓ Small red dot above bar = Short entry ✓ Small red dot above = Long exit ✓ Small black dot below = Short exit OPTIONAL DETAILED LABELS: ✓ Bank number that triggered entry (Bank 1, 2, or 3) ✓ Exit reason (Profit Target, Stop Loss, HTF Exit, etc.) ✓ Partial profit notifications POSITION TRACKING: ✓ Yellow dashed line at entry price (extends right) ✓ Green/red fill showing current profit/loss zone ✓ Lime arrows at top = Currently in long position ✓ Red arrows at bottom = Currently in short position ✓ Gray background = No position (flat) STATS TABLE (Top Right): ✓ Current position (LONG/SHORT/FLAT) ✓ Risk per trade ($ or %) ✓ Entry price ✓ Unrealized P/L in dollars ✓ P/L in R-multiples (how many R's profit/loss) ✓ Average winner/loser R ($ mode) OR CAGR (% mode) ═══════════════════════════════════════ 📈 OPTIMAL USAGE ═══════════════════════════════════════ BEST ASSETS: - NASDAQ:QQQ on 1-hour (reg) chart ⭐ (PRIMARY OPTIMIZATION) - Strong trending stocks: NVDA, AAPL, TSLA, MSFT, GOOGL, AMZN - High volatility tech stocks - Crypto: BTC, ETH - Any liquid asset with clear trends and momentum (GOLD) AVOID: - Low volatility stocks - Ranging/choppy markets - Penny stocks or illiquid assets - Assets without clear directional movement BEST TIMEFRAMES: - PRIMARY: 1-hour charts (optimal for QQQ) - ALSO EXCELLENT: 2H, 4H, 8H - WORKS: 15min, 30min (only momentum leaders, more noise) - WORKS WITH ADJUSTMENTS: 1D, 2D (decrease trendline pivot lengths) ═══════════════════════════════════════ 📊 BACKTEST RESULTS (QQQ 1H (Reg hours), 1999-2024) ═══════════════════════════════════════ The system showed on NASDAQ:QQQ 1-hour timeframe (regular hours): - Total Return: 1,100,000%+ over 24 years - Total Trades: 500+ - Win Rate: ~20-24% (LOW - this is by design!) - Average Winner: 8-15% gain - Average Loser: 2-4% loss - Win/Loss Ratio: 10:1 (winners much bigger than losers) - Profit Factor: 3+ - Max Drawdown: 45-50% - Risk per trade: 3% of capital KEY INSIGHT: This is a LOW WIN RATE, HIGH REWARD system. You will lose more trades than you win, but the few winners are so large they more than compensate for many small losses. IMPORTANT: These are backtested results using optimal parameters on historical data. Real trading results will vary based on: - Your execution and timing - Slippage and commissions - Your emotional discipline - Market conditions during your trading period ═══════════════════════════════════════ 🎓 WHO IS THIS FOR? ═══════════════════════════════════════ IDEAL FOR: ✓ Swing traders comfortable holding winners for longer period ✓ Part-time traders (1H = check 2-3x per day) ✓ Traders seeking exceptional risk/reward ratios ✓ Those comfortable with low win rates if winners are huge ✓ Technical analysis enthusiasts ✓ Breakout traders ✓ Trend followers ═══════════════════════════════════════ 🚀 GETTING STARTED - STEP BY STEP ═══════════════════════════════════════ STEP 1: APPLY TO YOUR CHART - Search "Tight Entry Trend Engine" in indicators - Click to apply to your chart - Trendlines and HTF line will appear immediately STEP 2: CHOOSE YOUR SETTINGS For BEGINNERS - Use These Settings First: 1. Trade Direction & Filters: • ENABLE LONGS: ✓ ON • ENABLE SHORTS: ✗ OFF (start with longs only) • Sensitivity: 1.0 (default) • HTF Trend Entry Filter: ✓ ON (safer entries) • Block Entries When Overextended: ✓ ON (avoid parabolic tops) 2. Position Sizing & Risk: • Position Sizing: "Per Risk" • RISK Type: "$ Per Trade" • Risk Amount: $200 (or 1-3% of your account) 3. Visual Settings: • Show Support Lines: ✗ OFF (unless trading shorts) • Show Detailed Entry/Exit Labels: ✓ ON • Show Stats Table: ✓ ON • Show Entry Line & P/L Fill: ✓ ON 4. Leave everything else at DEFAULT for now STEP 3: UNDERSTAND WHAT YOU SEE When trendlines appear: - RED lines above = Resistance (watch for price breaking UP through these) - GREEN lines below = Support (watch for price breaking DOWN) - When price breaks a red line = Potential LONG entry - When price breaks a green line = Potential SHORT entry The HTF trend line (thick colored): - Green/lime = Strong uptrend (favorable for longs) - Red = Strong downtrend (favorable for shorts if enabled) - Orange/yellow = Transitioning STEP 4: OBSERVE SIGNALS - Small GREEN dot below bar = System entered LONG - Small RED dot above bar = System exited LONG - Check the label to see which "Bank" triggered (Bank 1, 2, or 3) - Watch the yellow entry line and colored fill show your P/L STEP 5: PAPER TRADE FIRST - Use TradingView's paper trading feature - Watch how signals perform on YOUR chosen asset - Understand the win rate will be LOW (20-35%) - Verify that winners are indeed much larger than losers - Test for at least 20-30 signals before going live STEP 6: OPTIMIZE FOR YOUR ASSET (OPTIONAL) If default settings aren't working well: For FASTER signals (more trades): - Reduce Pivot Length 1 to 3-4 - Reduce Max Length 1 to 120-150 - Increase Sensitivity to 1.2-1.5 For SLOWER signals (higher quality): - Increase Pivot Length 1 to 7-10 - Increase Max Length 1 to 250+ - Decrease Sensitivity to 0.7-0.9 For DAILY timeframes: - Increase all Pivot Lengths by 30-50% - Increase all Max Lengths significantly - Sensitivity: 0.6-0.8 ═══════════════════════════════════════ ⚙️ ADVANCED SETTINGS EXPLAINED ═══════════════════════════════════════ TRENDLINE BANK SETTINGS: Each bank (1, 2, 3) has these parameters: - Min Touches: Minimum pivots to form a line - Lower (2) = More lines, earlier detection - Higher (4+) = Fewer lines, higher quality - Pivot Length: Lookback for swing points - Lower (3-5) = Reacts to recent price action - Higher (10+) = Only major swing points - Max Length: How old a trendline can be - Shorter (100-150) = Only recent lines - Longer (300+) = Include historical levels - Tolerance: Alignment strictness for horizontal lines - Lower (3.0-3.5) = Very strict horizontal - Higher (4.5+) = More forgiving alignment - Allow Angled Lines: Enable diagonal trendlines - ON = Catches sloped support/resistance - OFF = Only horizontal levels - Angle Limits: Maximum steepness allowed - Lower (1-2) = Only gentle slopes - Higher (4-6) = Accept steeper angles - Automatically adjusts for volatility ATR MULTIPLIERS: - STOP LOSS ATR (0.6): Distance to stop-loss - Lower (0.4-0.5) = Tighter stops, stopped out more - Higher (0.8-1.0) = Wider stops, more room - PROFIT TARGET ATR (100): Main profit target - This is 100x your risk = 10,000% R:R - Lower (50-80) = Take profits sooner - Higher (120+) = Let winners run longer - BREAKEVEN ATR (40): When to move stop to breakeven - Lower (20-30) = Protect profits earlier - Higher (60+) = Give more room before protecting HIGHER TIMEFRAME: - Auto HTF: Automatically selects appropriate HTF - 5min chart → uses 2H - 15-30min → uses 6H - 1-4H → uses 2D - Daily → uses 4D - HTF MA Length (300): HMA period for trend - Lower (150-250) = More responsive - Higher (400-500) = Smoother, less whipsaw - HTF Trend Following Exit: Exits when crossing HTF - ON = Additional exit method - OFF = Rely only on profit targets/stops - HTF Trend Entry Filter: Only trade with HTF trend - ON = Safer, fewer signals - OFF = More aggressive, more signals - Block Entries When Overextended: Prevents chasing - ON = Avoids parabolic tops/bottoms - OFF = Enter all breakouts regardless ═══════════════════════════════════════ 💡 TRADING PHILOSOPHY & EXPECTATIONS ═══════════════════════════════════════ This system is built on one core principle: "ACCEPT SMALL, FREQUENT LOSSES TO CAPTURE RARE, MASSIVE WINS" What this means: - You WILL lose 65%-75% of your trades - Most losses will be small (1-2R) - Some winners hit 80R+ - Over time, math works in your favour
Strategia Pine Script®
di trend-wolf
Trend following system WeeklySystem 1 — Weekly Trend Flip Strategy System 1 (Weekly) is a trend-following strategy designed to trigger only on weekly timeframe signals. It aims to catch clean trend shifts and avoid lower-timeframe noise. Uses fast and slow EMAs with ATR filtering to detect strong weekly momentum Enters long on a bullish flip of the EMAs Exits on a bearish flip or neutral zone (optional) Ideal for position traders, swing traders, and investors who want fewer, higher-quality signals Signals are generated only on weekly candle closes 📊 Tip: This strategy works best on assets with clear medium-term trends. You can use it alongside daily or intraday systems for additional confirmation.
Strategia Pine Script®
di samgeurts
Trend system🧭 System 1 – Trend Flip Strategy System 1 is a simple yet powerful EMA-based strategy designed to capture early trend flips using volatility-adjusted signals. It works best on trending markets and aims to get you positioned early in the move while avoiding chop when the market is neutral. 📊 Core Logic Uses a fast EMA and slow EMA to define market structure. Applies an ATR-based margin to filter out noise and identify true bullish or bearish momentum shifts. Generates a one-shot long entry when the market flips bullish. Closes the position either on a bearish flip or optionally on neutral signals for a cleaner exit. ⚙️ Key Features 🟢 Trend confirmation with EMA + ATR margin 🪄 One-shot entries – only enters when flat and a clean flip occurs 🚪 Configurable exits – choose to exit on trend reversal or neutrality 🧭 Clear visual cues – color-coded EMA bands and entry/exit markers 📬 Custom alert messages – ready for webhook automation or bot integration 🧠 Why It May Be Useful Great for momentum traders looking to enter early on trend shifts. ATR filtering helps avoid false signals during choppy conditions. Minimal parameters make it easy to optimize across multiple markets and timeframes. Useful for systematic strategy builders as a core trend-following module. Compatible with automation and alerts, making it suitable for both discretionary and systematic approaches. 📌 Tip: For best results, test across multiple timeframes and assets. Consider pairing with volume or higher-timeframe confluence to improve selectivity.
Strategia Pine Script®
di samgeurts