Black Fridayลดสูงสุดถึง 80%

อินดิเคเตอร์และกลยุทธ์

Vital Wave 20-50Simplicity is almost always the most effective approach, and here I’m giving you a trend-following system that exploits the bullish bias of traditional markets and their trending nature, with very basic rules. Rules (long entries only) • Market entry: When the EMA 20 crosses above the EMA 50 (from below) • Main market exit: When the EMA 20 crosses below the EMA 50 (from above) • Fixed Stop Loss: Placed at the price level of the Lower Bollinger Band at the moment the trade is entered. In my strategy, the primary exit is when the EMA 20 crosses below the EMA 50. However, this crossover can sometimes take a while to occur, and in the meantime the price may have already dropped significantly. The Stop Loss based on the Lower Bollinger Band is designed to limit losses in case the market moves sharply against the position without giving the bearish crossover signal in time. Having two exit conditions makes the strategy much more robust in terms of risk management. Risk Management: • Initial capital: $10,000 • Position size: 10% of available capital per trade • Commissions: 0.1% on traded volume • Stop Loss: Based on the Lower Bollinger Band • Take Profit / Exit: When EMA 20 crosses below EMA 50 Recommended Markets: XAUUSD (OANDA) (Daily) Period: January 3, 1833 – November 23, 2025 Total Profit & Loss: +$6,030.62 USD (+57.57%) Maximum Drawdown: $541.53 USD (3.83%) Total Trades: 136 Winning Trades (Win Rate): 36.03% (49/136) Profit Factor: 2.483 XAUUSD (OANDA) (12-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,209.56 USD (+11.89%) Maximum Drawdown: $384.58 USD (3.61%) Total Trades: 97 Winning Trades (Win Rate): 35.05% (34/97) Profit Factor: 1.676 XAUUSD (OANDA) (8-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,179.36 USD (+11.81%) Maximum Drawdown: $246.88 USD (2.32%) Total Trades: 147 Winning Trades (Win Rate): 31.97% (47/147) Profit Factor: 1.626 Tesla (NASDAQ) (4-hour) Period: June 29, 2010 – November 23, 2025 Total Profit & Loss (Absolute): +$11,687.90 USD (+116.88%) Maximum Drawdown: $922.05 USD (6.50%) Total Trades: 68 Winning Trades (Win Rate): 39.71% (27/68) Profit Factor: 4.156 Tesla (NASDAQ) (3-hour) Total Profit & Loss: +$11,522.33 USD (+115.22%) Maximum Drawdown: $1,247.60 USD (8.80%) Total Trades: 114 Winning Trades: 33.33% (38/114) Profit Factor: 2.811 Additional Recommendations (These assets have shown good trending behavior with the same strategy across multiple timeframes): • NVDA (15 min, 30 min, 1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • NFLX (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • MA (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • META (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • AAPL (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • SPY (12h, Daily) About the Code The user can modify: • EMA periods (20 and 50 by default) • Bollinger Bands length (20 periods) • Standard deviation (2.0) Visualization • EMA 20: Blue line • EMA 50: Red line • Green background when EMA20 > EMA50 (bullish trend) • Red background when EMA20 < EMA50 (bearish trend) Important Note: We can significantly increase the profit factor and overall profitability by risking a fixed percentage per trade instead of a fixed amount. This would prevent losses from fluctuating with changes in volatility. This could be implemented by reducing position size or adjusting leverage based on the volatility percentage required for each trade, but I’m not sure if this is fully possible in Pine Script. In my other script, “ Golden Cross 50/200 EMA ,” I go deeper into this topic and provide examples. I hope you enjoy this contribution. Best regards!
กลยุทธ์ Pine Script®
โดย Especulador96
2
MKL AutopilotOVERVIEW MKL Autopilot is a trend-following strategy that uses a smoothed dynamic environment filter and de-noiser to detect directional shifts and then aims for fixed risk-to-reward exits (user-settable) while using a dynamic stop that adapts to price structure. 1. Key ideas / advantages - Smooths short-term noise with an adaptive range + volatility smoothing algorithm so entries trigger on meaningful directional shifts. - Reduces False Breakouts: a new direction must reverse briefly away from the de-noiser. - Dynamic stop-loss placed at the filter band (upper/lower), with take-profit calculated from realized risk using an adjustable R:R ratio . - Sequential-trade gating prevents immediate same-direction flip-flopping (simple persistence control). - Designed for clarity and conservative trade management. 2. Signals and execution - Long Entry - Short Entry - Stop-loss: dynamic bandwidth, which will always shrink after asset starts moving the direction of the trade. - Take-profit: computed as entry ± (riskPips * R:R), where riskPips is derived from entry-to-SL distance and pipValue. 3. User inputs - Period — smoothing window (default 88). - Multiplier — multiplies smoothed range volatility width to set band width (default 8.0). - Risk-to-Reward Ratio — target multiple of risk (default 2.0). - Visual toggles for fills and colors are provided. 4. Behavioural details - Uses strategy.percent_of_equity with default_qty_value=100 (trades full equity by default). - Keeps pyramiding=0 to avoid multiple concurrent entries in same direction. - Resets entry variables on position close and re-arms retest logic according to prevailing trend. 5. Recommended usage - Try 3min and 5min for all - forex/crypto/indices/equities - adapt according to the volatility of the asset. - Backtest across multiple symbols/timeframes and tune Period / Multiplier / R:R to match volatility and your risk tolerance. 6. Limitations & risk - No 100% guarantee of profit — like all strategies it can produce drawdowns, whipsaw losses during sideways markets, and missed quick reversals. - Default position sizing is aggressive (100% of equity). Change default_qty_type / default_qty_value before live trading. - Always forward-test on a paper account and ensure slippage/fees are considered. Some good assets with their time-frames and settings are mentioned below: 1. BINANCE:ETHUSD (BEST) | CAPITALCOM:US30 | OANDA:XAUUSD | - Time Frame = 3min - Period = 88 - Multiplier = 8.8 - Risk-to-Reward Ratio = 2.5 2. BINANCE:BTCUSD - Time Frame = 5min - Period = 188 - Multiplier = 8.8 - Risk-to-Reward Ratio = 3 3. BINANCE:SOLUSDT - Time Frame = 3min - Period = 33 - Multiplier = 8.8 - Risk-to-Reward Ratio = 3 5. OANDA:XAUUSD - Time Frame = 5min - Period = 120 - Multiplier = 8.8 - Risk-to-Reward Ratio = 2.5 6. OANDA:USDJPY - Time Frame = 15min - Period = 160 - Multiplier = 2.4 - Risk-to-Reward Ratio = 2 7. NSE:NIFTY | NSE:BANKNIFTY - Time Frame = 3min - Period = 88 - Multiplier = 8.8 - Risk-to-Reward Ratio = 3
กลยุทธ์ Pine Script®
โดย Mukul_Trades
3
R4D1 Algo Standard🚀 R4D1 Algo Standard— Smart Supertrend Trading System The R4D1 Algo Standard is a next-generation Supertrend-based trading system designed for traders who want a clean, reliable, and highly automated strategy. Built with premium filters, visual dashboards, and institutional-grade session mapping, this algo gives you the clarity you need to dominate any market. ⚠️ Important: For accurate calculations on Heikin Ashi charts, please make sure real OHLC values are enabled in the script settings. Otherwise, HA-smoothing may distort price-based indicators. 📌 Note: Netflix Inc. was used only as a reference example for demonstration and visualization purposes. The strategy is Tickerly Ready and works seamlessly with any symbol, across all markets and asset classes. 🔥 Key Features 📈 Supertrend Engine Ultra-responsive trend detection Clean reversal entries (Long 📈 / Short 📉) Automatic trade reversals for maximum momentum capture 🎛️ Customizable Filters ADX Filter 📡 — Detect true trend strength MACD Filter 📊 — Block trades during weak or conflicting market phases Toggle instantly on/off for full control This time, less is more. Great for Python Code,finding the Right values to be one step ahead. 🧭 Interactive Dashboard (HUD) A real-time on-chart control center showing: Current Position: LONG / SHORT Entry Price Live P&L 💰 Trend State (Bullish 🟢 / Bearish 🔴) ADX Strength MACD Momentum ATR Volatility Everything updates automatically on the latest bar. 🇺🇸 US Market Sessions (Optional) Highlight key Wall Street phases with a single click: 🟩 US Open (09:30–11:30) 🟨 Lunch Session 🟧 Afternoon Session Perfect for traders who love structure and timing. 🎯 Who Is This Algo For? ✔ Day traders ✔ Swing traders ✔ Supertrend enthusiasts ✔ Traders who want clean charts + intelligent automation ✔ Anyone seeking consistent, rule-based entries & exits ⚡ Why Traders Love It Zero repainting Highly intuitive signals Designed for all markets (Crypto, Forex, Stocks, Indices) Ultra-fast performance with built-in visual clarity 🛠️ Plug, Play & Trade Load the script, enable your preferred filters, and let the algo handle the heavy lifting. You get precision entries, dynamic labels, and a modern dashboard—everything a trader needs to stay ahead.
กลยุทธ์ Pine Script®
โดย AL_R4D1
DM Mean Reversion w/ Checklist tableCALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. 27 minutes ago Release Notes CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. 8 minutes ago Release Notes CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. 17 minutes ago Release Notes CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. __________________________________________________________________ A close above or below the 5-SMA only means the mean reversion is complete, not that the move itself is over. There’s a big difference. What your SMA 5 exit actually means It means: Price has snapped back to its short-term average. That’s it. It does NOT mean: The trend is over Momentum will stop Price will reverse again It only means: The reversion target has been reached. Why price often keeps moving after In strong markets, especially end-of-day or high momentum sessions: Price often hits the short-term mean Exits your trade Then continues moving in the same direction Example: You long after RSI=2 oversold Price reverts to SMA 5 You exit But the trend is strong → price keeps climbing. And that’s normal and expected behavior. The system is not trying to capture trends. It is trying to capture: The snap-back move from extreme conditions. Your system purpose (important) Strategy is built for: Small, high-probability mean reversion profits Not trend following Not momentum extension Not predicting tops/bottoms By exiting at SMA 5, you’re saying: “I’m only here for the bounce — nothing more. That keeps: Drawdown lower Holding time shorter Win rate more consistent Even if that means leaving money on the table sometimes (which every good system does). If you ever wanted to let winners run You could add things like: Trend filter extension (hold if above 200 SMA) RSI exit condition A trailing stop instead of SMA 5 But that changes the nature of your system from: Mean Reversion → Hybrid Trend System Bottom line You’re thinking about this correctly: SMA 5 crossing = reversion completed Price can still continue further Your system exits on purpose to capture the controlled part
กลยุทธ์ Pine Script®
โดย evistatrading
DM Mean Reversion w/ VIX Ver2 CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: ✅ Short-term emotional overreactions ✅ Inside longer-term structural bias ✅ While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear.
กลยุทธ์ Pine Script®
โดย evistatrading
DM Mean Reversion Strategy w/VIXThis strategy works because it trades human emotion, not numbers. Markets move the way they do because of: Fear Greed Panic FOMO Regret Relief Your indicators are just tools to measure those emotions. 1. RSI(2) → Measures Emotional Overreaction RSI(2) doesn’t measure “strength”. It measures short-term emotional imbalance. What it sees: When RSI(2) < 5 → People are panicking When RSI(2) > 95 → People are overconfident / greedy Psychology behind it: When RSI is very low: People are thinking: “I need to sell NOW before it crashes further!” They’re not thinking logically. They’re reacting emotionally. That emotional selling is usually exaggerated, not rational. You step in and take the other side of their fear. 2. 200 SMA → Measures Crowd Belief The 200 SMA represents: The long-term average opinion of the market. Most institutions, hedge funds, and big traders use it. Psychology behind it: If price is above 200 SMA: The crowd believes the asset is in a long-term uptrend. More people are willing to buy dips. If price is below it: The crowd believes it’s in a long-term downtrend. More people are looking to short rallies. You’re aligning yourself with mass psychology, not fighting it. 3. 5 SMA → Measures Short-Term “Normal” Price This is basically your: “How far did price stretch away from normal?” Psychology behind it: People panic and overreact, sending price too far from its normal value. Then once emotions cool down, price naturally comes back. This is called: Mean Reversion When price crosses back over the 5 SMA, it means: Panic is fading Emotion is cooling Price is returning to “fair value” That’s why you exit there — The emotional imbalance is over. 4. ATR → Measures Market Fear / Speed ATR measures how wild price is moving. High ATR = high fear, high uncertainty Low ATR = calm market Psychology behind it: When the market is highly volatile: People are emotional Moves are erratic False signals happen more ATR helps adjust your stop loss so that: You aren’t stopped out because of normal emotional noise. It adapts your risk to how emotional the market currently is. 5. VIX → Measures Fear Level of the Entire Market VIX is literally called the: “Fear Index” Psychology behind it: When VIX is high: People are scared News is bad Emotion dominates logic Moves become irrational When VIX is low: Market is calm People are thinking more rationally Mean reversion works better That’s why you block trades when VIX is too high. You don’t want to trade in emotional chaos. The Big Picture Psychology Your strategy is based on one idea: Humans overreact short-term Then calm down Then price normalizes You are not predicting the future. You are exploiting: Emotional mistakes Crowd overreaction Human impatience Fear and greed While most traders react emotionally, You are reacting statistically. Real Mental Model for You Think of it like this: RSI(2) = Market panic meter 200 SMA = Crowd belief 5 SMA = Emotional balance point ATR = Emotional intensity VIX = Global fear gauge You are basically: Buying fear Selling greed In the direction of the crowd When emotions are stretched. ______________________________________________________________ Here’s exactly when you place an entry with DM Mean Reversion Strategy w/VIX – for both LONG and SHORT. When to Enter a LONG (Buy / Calls) You only place a LONG trade after a candle closes and all these are true: Trend Filter (Bullish) Price is above the 200 SMA → Market is in an uptrend. RSI(2) Oversold RSI(2) is below your buy level (default = 5) → Market is short-term oversold in an uptrend. VIX Condition OK VIX is below your block level (default 28) VIX is below your long max (default 25) VIX is falling or flat (today’s VIX ≤ yesterday’s) → Fear is not extreme and is calming down. Candle is CLOSED The bar has finished and the conditions above are true on the close, not in the middle of the candle. Entry timing: You place the LONG trade at the open of the next candle after all the above were true at the close. If you’re using the table: It will typically show “LONG SETUP” when a valid long condition appears and you’re not in a trade yet. ____________________________________________________________ When to Enter a SHORT (Sell / Puts) You only place a SHORT (or buy a Put) after a candle closes and all these are true: Trend Filter (Bearish) Price is below the 200 SMA → Market is in a downtrend. RSI(2) Overbought RSI(2) is above your sell level (default = 95) → Market is short-term overbought in a downtrend. VIX Condition OK VIX is below your block level (default 28) VIX is below your short max (default 30) VIX is rising or flat (today’s VIX ≥ yesterday’s) → Fear is starting to increase, which supports downside moves. Candle is CLOSED Wait for the bar to finish – don’t act mid-candle. Entry timing: You place the SHORT / PUT trade at the open of the next candle after those conditions were true at the close. On the table: You’ll see “SHORT SETUP” when a valid short opportunity is present and you’re flat. When NOT to Enter Do not enter if: VIX is above the global block level (default 28) → Strategy is designed to avoid panic markets. Candle hasn’t closed yet (mid-candle fluctuations don’t count). Trend and RSI don’t line up (e.g., RSI oversold but price below 200 SMA → no long).
กลยุทธ์ Pine Script®
โดย evistatrading
STRATEGY 1 │ Red Dragon │ Model 1 │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making. Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient. Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior. In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView. The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach. Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth. This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution. 🔶 MAIN FEATURES • Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system. • Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align. • Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences. • Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system. • Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics. • No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values. 🔷 ENTRY CONDITIONS & RISK MANAGEMENT Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example: • Volume: • The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation. • RSI: • Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below. • ADX: • Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts). • Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.) Each one must confirm the expected direction before a final signal is allowed. When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short. In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control: Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position. ⚙️ INDICATORS __________________________________________________________   1) 🔊 Volume: Avoids trading on flat charts.   2) 🍟 MACD: Tracks momentum through moving averages.   3) 🧲 RSI: Indicates overbought or oversold conditions.   4) 🅰️ ADX: Measures trend strength and potential entry points.   5) 🥊 SAR: Identifies changes in price direction.   6) ☁️ Cloud: Accurately detects changes in market trends.   7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.   8) 📐 S/R: Fixed support and resistance levels.   9)╭╯MA: Moving Averages. 10) 🔮 LR: Forecasting using Linear Regression. __________________________________________________________ 🟢 ENTRY CONDITIONS 🔴 __________________________________________________________ IF all conditions are 🟢 = 📈 Long IF all conditions are 🔴 = 📉 Short __________________________________________________________ 🚨 CURRENT TRIGGER SIGNAL 🚨 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) and (close) > (open) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open) 🍟 MACD 🟢 LONG  = (MACD) > (Signal Smoothing) 🔴 SHORT = (MACD) < (Signal Smoothing) 🧲 RSI 🟢 LONG  = (RSI) < (Upper) 🔴 SHORT = (RSI) > (Lower) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🅰️ ADX 🟢 LONG  = (+DI) > (-DI) and (ADX) > (Treshold) 🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold) 🥊 SAR 🟢 LONG  = (close) > (SAR) 🔴 SHORT = (close) < (SAR) ☁️ Cloud 🟢 LONG  = (Cloud A) > (Cloud B) 🔴 SHORT = (Cloud A) < (Cloud B) ☁️ Cloud 🟢 LONG  = (Kama) > (Kama ) 🔴 SHORT = (Kama) < (Kama ) 🌡️ R/F 🟢 LONG  = (high) > (UP Range)      and (upward)     > (0) 🔴 SHORT = (low) < (DOWN Range) and (downward) > (0) 🌡️ R/F 🟢 LONG  = (high) > (UP Range) 🔴 SHORT = (low) < (DOWN Range) 📐 S/R 🟢 LONG  = (close) > (Resistance) 🔴 SHORT = (close) < (Support) ╭╯MA2️⃣ 🟢 LONG  = (Cyan Bar MA2️⃣) 🔴 SHORT = (Red Bar MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (close) > (MA2️⃣) 🔴 SHORT = (close) < (MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (Positive MA2️⃣) 🔴 SHORT = (Negative MA2️⃣) __________________________________________________________ 🎯 TP / SL 🛑 __________________________________________________________ 🎯 TP: 1.5 ％ 🛑 SL:  2.0 ％ __________________________________________________________ 🪄 UNIQUE FEATURES OF THIS STRATEGY ____________________________________ 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. _____________________________ 𝄜  BACKTEST / PERFORMANCE 𝄜 _____________________________ • Net Profit: +634.47%, Maximum Drawdown: -18.44%. 🪙 PAIR / TIMEFRAME ⏳ 🪙 PAIR: BINANCE:BTCUSDT.P ⏳ TIME: 4 hours (240m) ✅ ON ☑️ OFF ✅ LONG ✅ SHORT 🎯 TP / SL 🛑 🎯 TP: 1.5 (％) 🛑 SL:  2.0 (％) ⚙️ CAPITAL MANAGEMENT 💸 Initial Capital: 10000 $ (TradingView) 💲 Order Size:      10 ％     (Of Equity) 🚀 Leverage:        10 x       (Exchange) 💩 Commission:    0.03 ％  (Exchange) 📆 BACKTEST 🗓️ Start: Setember 24, 2019 🗓️ End:   November 21, 2025 🗓️ Days:  2250 🗓️ Yers:   6.17 🗓️ Bars:  13502 📊 PERFORMANCE 💲 Net Profit:                 + 63446.89 $ 🟢 Net Profit:                 + 634.47 ％ 💲 DrawDown Maximum: - 10727.48 $ 🔴 DrawDown Maximum: - 18.44 ％ 🟢 Total Closed Trades:     1042 🟡 Percent Profitable:       63.92 ％ 🟡 Profit Factor:               1.247 💲 Avg Trade:                 + 60.89 $ ⏱️ Avg # Bars in Trades 🕯️ Avg # Bars: 4 ⏳ Avg # Hrs:  15 ✔️ Trades Winning: 666 ❌ Trades Losing:    376 ✔️ Maximum Consecutive Wins:   11 ❌ Maximum Consecutive Losses: 7 📺 Live Performance : br.tradingview.com • Use this strategy on the recommended pair and timeframe above to replicate the tested results. • Feel free to experiment and explore other settings, assets, and timeframes.
กลยุทธ์ Pine Script®
โดย Titans_Invest
MTF Scalper - alemicihanMulti-Timeframe Scalper Strategy: Aligning the Big Picture for Quick Gains This article presents a robust futures trading strategy designed for high-frequency scalping in the crypto market. It’s built on the principle of minimizing risk by ensuring that short-term entries are always aligned with the dominant, higher-timeframe trend. The Core Concept: Alignment is Key A Balanced Trend Follower approach, now refined for rapid scalping, uses a Multi-Timeframe (MTF) confirmation system to filter out market noise and increase the probability of a successful trade. The strategy operates on a Low Timeframe (LTF) chart (e.g., 3m, 5m, or 15m) but only executes trades if the direction is validated by three Higher Timeframes (HTF). ComponentPurposeFunctionHTF (D, 4h, 1h) EMA => Trend Confirmation =>Checks if the current price is above/below all three Exponential Moving Averages (EMA 20). This provides a strong directional bias. LTF (5m) Stochastic RSI => Momentum Entry => Generates the actual buy/sell signal by spotting a swift crossover, indicating fresh momentum in the direction of the confirmed HTF trend. How The Signal Is Generated Trend Alignment: The system first confirms the trend. If the price is trading above the Daily, 4-Hour, and 1-Hour EMAs, the market is deemed to be in a Strong LONG Trend. Only LONG signals are permitted. Momentum Trigger: Once the trend is confirmed, a Long Signal is generated only when the Stochastic K-Line crosses above the D-Line, indicating a momentum shift (a pullback ending) towards the main trend direction. Short Signal: The inverse logic applies to the Short Trend confirmation and entry signal. Mandatory Risk Management: ATR-Based Exit Given the high leverage nature of futures and scalping, static Stop-Loss (SL) and Take-Profit (TP) levels are inefficient. This strategy uses the Average True Range (ATR) indicator to dynamically set profit and loss targets based on current market volatility. Stop Loss (SL): Set dynamically at 1.5 x ATR below (for long) or above (for short) the entry price. This gives the trade enough room to breathe without risking excessive capital. Take Profit (TP): Set dynamically at 3.0 x ATR, establishing a robust Risk-to-Reward Ratio of 1:2. Final Thoughts on Testing This sophisticated approach combines the reliability of MTF analysis with the speed of momentum indicators. However, data analysis is key. Backtesting these parameters (EMA, ATR Multipliers, RSI/Stochastic lengths) on your chosen asset (like BTC/USDT or ETH/USDT) and timeframe is crucial to achieving optimal performance.
กลยุทธ์ Pine Script®
โดย alemicihan
US100 AlgoUS100 Algo - Professional Supertrend Strategy with Multi-Filter System 🚀 Professional Algorithmic Trading for US100 (NASDAQ-100) Battle-tested strategy optimized for 15-minute Heikin Ashi charts with full Tickerly webhook automation. ⚠️ CRITICAL SETUP - READ FIRST Before using this strategy: Chart Type: Heikin Ashi (for smooth visuals) Strategy Settings: Go to Strategy Properties → Set OHLC prices (NOT Heikin Ashi prices) Timeframe: 15 minutes Instrument: US100 / NASDAQ-100 This OHLC setting is CRITICAL for accurate signals and live trading. Without it, your backtest and live results will not match! ⚡ Core Strategy Supertrend Engine - ATR Period 42, Factor 3.0 Heikin Ashi Charts - Filters noise, shows clean trends Both Directions - LONG and SHORT trades Multi-Filter System - 5 layers of confirmation 🔧 Smart Filter System ✅ ADX Filter - Only trades strong trends (threshold: 24) ✅ MACD Filter - Confirms momentum direction ✅ Volatility Filter - Requires minimum ATR movement (0.9x) ✅ Volume Filter - Validates with above-average volume (0.7x) ✅ EMA 200 Filter - Optional trend alignment (3 modes available) All filters can be toggled ON/OFF individually 💰 Risk Management Take Profit System - Configurable (default: 8.8%) Visual Labels - Clear LONG/SHORT entry markers Exit Signals - TP markers on chart ⚠️ Note: TP signals always display on chart for analysis. When TP is disabled in settings, signals show but won't trigger automated exits. 📊 Visual Features Professional dashboard (movable to 4 corners) LONG/SHORT entry labels (adjustable size) Take Profit exit markers US trading session highlights (optional) 🔔 Tickerly Compatible - Fully Automated ✅ Tested and verified for live trading ✅ Works with Capital.com, OANDA, and other brokers ✅ Instant webhook signal transmission ✅ Zero configuration needed 📈 Quick Optimization Guide Step 1: Install & Setup Apply to US100, 15min chart Enable Heikin Ashi candles Set strategy to use OHLC prices (in Strategy Properties) Step 2: Test with Default Settings Run backtest with all filters enabled Check profit factor and drawdown Verify signal quality Step 3: Fine-Tune Filters More trades: Lower ADX to 20, disable EMA filter Higher accuracy: Raise ADX to 28, increase volatility to 1.1 Balanced: Keep defaults (recommended) Step 4: Optimize Supertrend Test ATR Period: 35-50 (default 42 works well) Test Factor: 2.5-3.5 (default 3.0 optimal) Step 5: Take Profit Testing Test TP disabled (Supertrend exits only) Test TP 5%-15% range (default 8.8%) Compare profit factor vs max drawdown Step 6: Live Deploy Paper trade minimum 2 weeks Verify Tickerly webhook signals Monitor and adjust as needed ⚙️ Preset Configurations Conservative (Fewer, high-quality trades) ADX: 28 | Volatility: 1.1 | Volume: 0.9 | All filters ON Balanced (Recommended) ADX: 24 | Volatility: 0.9 | Volume: 0.7 | All filters ON Aggressive (More trades) ADX: 20 | Volatility: 0.7 | Volume: 0.5 | EMA filter OFF ✅ What You Get Complete Pine Script v6 code Full filter customization Professional dashboard Tickerly automation ready All documentation included Works on multiple instruments 📈 Best Performance Strategy performs optimally during: Active US trading hours Trending market conditions With proper filter calibration On volatile instruments (US100, crypto) ⚠️ Disclaimer Past performance does not guarantee future results. Always test in demo before live trading. Use proper risk management. Trading involves risk of loss. Start Trading Smarter Today 🎯
กลยุทธ์ Pine Script®
โดย AL_R4D1
BTC Risk Metric DCA Adapter (3Commas Webhook Strategy)Risk Metric DCA Adapter (3Commas Webhook Strategy) - WORK IN PROGRESS This Pine Script strategy, originally inspired by the Risk Metric Indicator, is fundamentally engineered as an Adapter to interface with external trading bots like 3Commas via Webhooks. It calculates a dynamic market risk score and translates that score into specific dollar-cost averaging (DCA) entry levels and tiered profit-taking exits. Key Features & Logic Risk Metric Calculation (Credit to The Trading Parrot): The strategy incorporates a complex, multi-timeframe Risk Metric calculation based on daily and weekly moving averages (SMA) and standard deviation (StDev). This metric aims to quantify the current market overextension or compression relative to long-term historical data. The resulting score dictates the level of conviction for a new trade. Tiered DCA Entry Sizing: The strategy defines three distinct Buy Levels (L1, L2, L3) corresponding to increasingly favorable (lower) Risk Metric scores. L1 (Base): Risk is moderate, initiating the minimum defined trade amount. L2 (Scaled): Risk is low, initiating L1 amount + L2 amount. L3 (Aggressive): Risk is very low, initiating L1 + L2 + L3 amounts. Tiered Profit-Taking Exits: The strategy implements a staggered, partial profit-taking approach based on the Risk Metric rising: Sell L1 & L2: Closes a percentage of the current position when the Risk Metric reaches defined high thresholds, locking in partial profits. Sell L3 (Full Exit): Closes the remaining position when the Risk Metric reaches the highest defined threshold. The Adapter Function (Webhook Integration) This script is unique because it uses the Pine Script strategy() function to trigger Order Fills, which are necessary to access powerful placeholders in the TradingView alert system. Trigger Type: The alert must be set to trigger on Any order fill. Dynamic Webhook Data: Instead of using fixed alert() commands, the strategy generates dynamic labels (e.g., BUY_ENTRY_L3_USD_1000 or SELL_L1_PCT_25) using the strategy.entry and strategy.close commands. Data Transfer: The alert message then uses the placeholder {{strategy.order.comment}} to pass these dynamic labels to the 3Commas bot, allowing the bot to execute the precise action (e.g., start_deal_with_volume_in_quote_currency or close_deal_at_market_percentage). Full Strategy Webhook payload { "secret": "YOUR_3COMMAS_SECRET_KEY", "max_lag": "300", "timestamp": "{{timenow}}", "trigger_price": "{{close}}", "tv_exchange": "{{exchange}}", "tv_instrument": "{{ticker}}", "action": "{{strategy.order.action}}", "bot_uuid": "YOUR_BOT_UUID", "strategy_info": { "market_position": "{{strategy.market_position}}", "market_position_size": "{{strategy.market_position_size}}", "prev_market_position": "{{strategy.prev_market_position}}", "prev_market_position_size": "{{strategy.prev_market_position_size}}" }, "order": { "amount": "{{strategy.order.contracts}}", "currency_type": "base", "comment": "{{strategy.order.comment}}" } } Disclaimer: This script is an adapter tool and does not guarantee profit. Trading requires manual configuration of risk settings, bot parameters, and adherence to platform-specific setup instructions.
กลยุทธ์ Pine Script®
โดย nakphanan
CBS Strategy with Trailing Stop _ IK3-Candle High/Low Breakout Strategy – Clean, Powerful, Fully Customizable (Pine Script v6) A simple yet effective momentum breakout strategy that triggers trades when price closes above the highest high or below the lowest low of the previous 3 completed candles. Perfect for trending markets (stocks, forex, crypto, indices) on any timeframe. Key Features: • Pure price-action breakout logic (no repainting) • Long & Short entries with visual triangle signals • Built-in Stop Loss & Take Profit (fixed % or ATR-based) • Optional Trailing Stop (percentage or ATR multiplier) • All risk parameters fully adjustable from the settings panel • Clean on-chart visualization of SL, TP, and active trailing stop levels • Works on all instruments and timeframes Default Settings (2:1 Reward/Risk): • Stop Loss: 1.5% • Take Profit: 3.0% • Trailing Stop: 1.0% (optional) How to Use: 1. Add to chart 2. Adjust risk settings to match your style (fixed % or ATR) 3. Enable/disable trailing stop as needed 4. Backtest and optimize per instrument/timeframe Fully open-source • No external libraries • Pine Script v6 Great for swing trading, intraday breakouts, or as a base for further enhancements. Happy trading!
กลยุทธ์ Pine Script®
โดย ickr3078
BTCUSD Algo🎯 Overview Advanced algorithmic trading strategy specifically designed for BTCUSD 15-minute Heikin Ashi charts. This algorithm combines the powerful Supertrend indicator with multiple technical filters to identify high-probability entries in the Bitcoin market. ⚠️ CRITICAL SETUP REQUIREMENTS MUST READ BEFORE USE: ✅ Chart Type: 15-minute Heikin Ashi candles ONLY ✅ Symbol: BTCUSD ✅ Strategy Properties: Enable "Use OHLC Values" to prevent repainting and ensure realistic backtest results ✅ Broker Integration: Tickerly-proven with Capital.com API for automated trading ✅ This Code is for Free, so i would appreciate Comment on this what you think. 🚀 Key Features 📊 Interactive Dashboard Real-time position tracking (LONG/SHORT/FLAT) Live P&L display with percentage gains Entry price monitoring Take Profit level visualization Technical indicators overview (Trend, ADX, MACD, ATR, Volume, EMA200) Fully customizable position (4 corner options) 🏷️ Visual Signal Labels Clear LONG/SHORT entry markers TP EXIT labels with profit percentage Adjustable label sizes (Tiny to Huge) Optional display toggle ⚡ Core Supertrend Engine ATR Length: Adjustable period for volatility calculation Factor: Fine-tunable multiplier for signal sensitivity Optimized default values for maximum profit factor 🔧 Advanced Filter System (All Optional) ADX Filter: Trend strength confirmation MACD Filter: Momentum alignment Volatility Filter: Minimum ATR requirements Volume Filter: Above-average volume confirmation EMA 200 Filter: Directional bias with 3 modes: Long only above EMA Short only below EMA Both directions (filter disabled) 💰 Take Profit System Percentage-based exits Adjustable TP levels Visual TP line on dashboard Note: Currently in development - shows in strategy but signals not yet active 🌍 US Session Highlighting Visual background colors for: US Open (09:30-11:30 ET) Lunch Session (11:30-13:30 ET) Afternoon Session (13:30-16:00 ET) 🎓 Optimization Guide - Avoiding Overfitting IMPORTANT: Follow this sequence to prevent curve-fitting: Step 1: Disable ALL Filters Start with pure Supertrend signals - uncheck all filter options Step 2: Optimize ATR Length This parameter controls how many candles are used for volatility calculation Higher values = More candles = Smoother signals = Fewer trades Lower values = Fewer candles = Faster signals = More trades (overfitting risk!) Adjust until you find the best Profit Factor Default optimized value included Step 3: Optimize Factor Fine-tune the Supertrend multiplier Work in small increments (0.1 - 0.5) Balance between signal frequency and accuracy Step 4: (Optional) Add Filters Only after core optimization Add filters one at a time Test each addition's impact Less is more! 💡 "Less is More" Philosophy This strategy follows the principle of simplicity. The default parameters are optimized for maximum profit, but the power lies in finding the sweet spot for YOUR trading style and market conditions. ✅ Automated Trading Ready Fully compatible with Tickerly webhook integration Tested with Capital.com API Real-time signal generation No repainting when properly configured 📋 What You Get Complete Pine Script v6 code Professional dashboard interface Multiple customization options Clear visual signals Session analysis tools Optimization framework ⚙️ Technical Specifications Version: Pine Script v6 Type: Strategy (with overlay) Default Quantity: Fixed (adjustable) Indicators Used: Supertrend, ADX, MACD, ATR, EMA, Volume MA 🎨 Customization Options Dashboard visibility toggle Dashboard position (4 corners) Signal labels on/off Label size adjustment EMA line display All filters with checkboxes Color schemes for sessions TP percentage adjustment ⚡ Ready to deploy? Remember: Set to Heikin Ashi 15m Enable "Use OHLC Values" in properties Start with all filters OFF Optimize ATR Length first Trade smart, not hard! 🚀 Disclaimer: Past performance does not guarantee future results. Always test thoroughly before live trading. Currently under active development - Take Profit automation pending completion.
กลยุทธ์ Pine Script®
โดย AL_R4D1
Fibo Tarayıcı + Mirror + Bot KEY FEATURES: 1. Fibonacci Levels: Plots 23.6%, 38.2%, 50%, 61.8%, 78.6%, 88.6%, 100%, 127.2%, 141.4%, 161.8% levels 2. Mirror Fibonacci: Shows reverse extensions of main levels 3. Auto Trading System: Executes automatic trades at specified Fibonacci levels 4. Multi-Symbol Scanner: Scans 120+ crypto and stock symbols 5. Visual Alerts: Colored background and labels when price approaches Fibonacci levels HOW IT WORKS: 1. Finds swing high/low points over 144 bars 2. Calculates Fibonacci levels between these points 3. Generates buy/sell signals when price approaches these levels 4. User can select which levels to trade 5. Scanner shows Fibonacci signals across multiple symbols
กลยุทธ์ Pine Script®
โดย kmlbysl
8
Wavelet Alligator – Separate Entry/Exit Experts & Wavelets-V2 Wavelet Alligator – Strategy Explanation & How to Use 1. Concept Overview The Wavelet Alligator strategy combines: - Wavelet transforms (Daubechies, Haar, Symlet, Mexican Hat, Morlet) - Fractional calculus kernels: Caputo-Fabrizio (CF) and Atangana-Baleanu (AB) - Three-layer “alligator-like” wavelet smoothing (soft → medium → strong) - Expert-based entry/exit routing (RAW, CF, AB, or Majority vote) - Independent wavelets for ENTRY and EXIT - Main trend defined by AB wavelet ordering This creates a multi-structure, multi-kernel trend engine capable of capturing extended moves with high signal quality. 2. Wavelet Alligator Structure Each source (RAW, CF, AB) is transformed into three wavelet layers: Soft = fastest reaction Medium = mid smoothing Strong = trend backbone Wavelets: - Daubechies: stable trend - Haar: fast impulse detection - Symlet: balanced - Mexican Hat: curvature and reversal detection - Morlet: cyclic, oscillatory 3. Entry Logic Long entry occurs when: - AB wavelet shows bullish structure (soft > medium > strong, medium rising) - Selected entry expert approves (RAW / CF / AB / Majority) - Wavelet condition: soft > strong AND medium crosses above strong 4. Exit Logic Exit is independent from entry: - Controlled by chosen exit expert - Wavelet reversal condition: soft < strong AND medium crosses below strong - Forced exit when AB trend turns neutral or bearish 5. Background Color (Regime) - Green: bullish AB regime - Red: bearish AB regime - Gray: neutral/transition 6. How to Use Step 1 – Choose entry wavelet Daubechies: stable trend Haar: breakout scalping Mexican Hat: early reversals Symlet: balanced Morlet: cyclic markets Step 2 – Choose exit wavelet Mexican Hat: best precision Daubechies: smooth exits Haar: aggressive exits Step 3 – Select entry/exit experts CF only – fast fractional trend AB only – stable long-memory trend RAW only – pure price structure Majority – safest, noise-filtered Step 4 – Run the strategy Entries occur only during AB bullish trend. Exits occur on wavelet reversal or AB trend failure. 7. Why This Strategy Works It fuses: - Fractional calculus (memory) - Wavelets (shape/curvature) - Alligator ordering (trend hierarchy) Result: high-quality entries, strong trend holding, noise-resistant signals.
กลยุทธ์ Pine Script®
โดย wojlucz
V15.0 Adaptive Chameleon [Pro] # **V15.0 Adaptive Chameleon – Strategy Description** **Adaptive Chameleon** is a fully automated TradingView strategy powered by a signal engine based on multi-timeframe trend analysis, adaptive moving averages, and a volatility filter. The goal is to trade in the direction of a strong and confirmed trend, avoid opening trades in weak or manipulative price zones, and establish positions with a clearly defined risk/reward ratio. --- ## **1. General Logic and Philosophy** The strategy divides tasks between two timeframes: * **4-Hour Chart → Trend Manager (Boss)** Determines the direction and strength of the trend. * **4-Minute Chart → Entry Trigger (Operating Unit)** Generates the ideal entry signal in the direction of the trend. Thanks to this structure, the strategy both follows the long-term main direction and finds clear entries with low lag on smaller timeframes. --- ## **2. Trend Detection (4H)** The strategy uses **KAMA (Kaufman Adaptive Moving Average)** and **ADX** to identify trends on the higher timeframe. ### **KAMA – Adaptive Trend Line** * The KAMA is much more "smart" than traditional moving averages. * It accelerates during price movements and decelerates during sideways movements. * This allows for much clearer detection of trend direction. ### **ADX – Trend Strength Meter** The strategy only opens trades when **trend strength** is rising (above the ADX average). This prevents unnecessary trades when the trend is weak. ### **Trend Rules** * Price above the KAMA → **Uptrend** * Price below the KAMA → **Downtrend** * ADX widening → **Trend strong** The entry trigger is activated when these three conditions are met together. --- ## **3. Entry Engine (45m)** On the 45-minute timeframe, the system uses the following components: ### **AlphaTrend (MFI + ATR-Based Adaptive Line)** * Measures market flow direction with MFI (Money Flow Index), * Measures price level breakouts with ATR (Volatility). AlphaTrend detects whether the price is likely to reverse upwards or downwards. ### **Entry Signal** * **Buy signal:** If the AlphaTrend has reversed upwards based on recent bars * **Sell signal:** If the AlphaTrend has broken downwards ### **Pivot Points (For Stop)** * The **pivotLow** and **pivotHigh** levels of the last 10 bars are calculated. * These are used to determine the most logical stop distance. --- ## **4. Protection Shields** The strategy uses two main filters to protect against the most dangerous conditions in the crypto market: ### **1. Pump/Dump Filter** * A candlestick length greater than 4% is considered a "pump bar." * Never open a trade on these bars. The goal: to avoid sudden manipulation candlesticks. ### **2. RSI Filter** * Long trades: RSI > 45 (open long on weak momentum) * Short trades: RSI < 55 (open short on extremely strong momentum) These filters provide more balanced entries. --- ## **5. Final Entry Conditions** ### **All conditions are required simultaneously for long:** 1. 4H trend up 2. ADX trend strength increasing 3. 45m AlphaTrend issued a "buy" signal 4. RSI > 45 5. No candlestick pump 6. Date range is suitable ### **All conditions apply in the opposite direction for short.** --- ## **6. Exit Mechanism (Stop, TP, Trailing)** The strategy uses a three-layer structure on the exit side: ### **1. Pivot-Based Stop** * Stop distance = Entry price − Pivot Low (for long) * Minimum stop distance = **1% of the price** Provides both structural and mathematical security. ### **2. Fixed R:R (Default 1:2)** * TP = Entry + Stop Distance × R:R The default 2R target is ideal for trend systems. ### **3. Optional Trailing Stop** * Dynamic trailing stop that follows the price by a certain percentage. * Allows trend trades to yield greater profits. --- ## **7. Chart Displays** * Purple line:** 4H WEDGE (main trend line) * Yellow background:** Pump protection is active (trades will not be opened on that bar) --- ## **8. Practical Effect of the Strategy** This system has an adaptive structure based on trend variations. **Strengths:** * Very high accuracy (76–80% in SOL and ETH tests) * Low drawdown (approximately 6–7%) * Safe entries thanks to pump/dump and extreme momentum filters * Clearly defined stop and target structure * Low noise thanks to multi-timeframe compatibility **Weaknesses:** * Performance may decrease in sideways markets without trends * Overtrading may occur if the ADX filter is closed * Very small stops can sometimes cause unnecessary triggers --- ## **9. Conclusion** **Adaptive Chameleon** is a trend-based and highly stable strategy with well-established risk management, manipulation filtering, and entry into lower timeframes with clear trend direction detection and low-latency signals. SOL and ETH demonstrated strong and balanced performance in backtests with metrics such as: * **600+ trades** * **30–37% profit** * **76–80% win rate** * **Low max drawdown**
กลยุทธ์ Pine Script®
โดย futash