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ILM & IFVG StrategyPlease feel free to adjust in any way possible. Let me know if you can create something better from this initial coding. //═══════════════════════════════════════════════════════════════════════ // Inverted Liquidity Model (ILM) – Strategy //═══════════════════════════════════════════════════════════════════════ // // The **Inverted Liquidity Model (ILM)** is a liquidity-based algorithm // built to capture high-probability reversals after: // // • A liquidity sweep (SSL/BSL taken) // • Rejection back inside the range // • A Fair Value Gap (FVG) forms // • That FVG becomes invalidated → becomes an IFVG entry zone // // ILM combines: // • LTF BOS / CHOCH structure confirmation // • HTF structure (expansion) filtering // • Premium / Discount filter (17:00 CST session midline) // • Optional ATR volatility filter // • Optional trading session restrictions // • Optional partial profit-taking + runners // // When all conditions align, the strategy enters: // ✔ Long after sweep of SSL + valid long IFVG + trend confirmation // ✔ Short after sweep of BSL + valid short IFVG + trend confirmation // // Stops are placed at the sweep wick. // Full target is set at the next structural high/low. // Optional partial TP sends a runner to full target. // // Visual tools (labels, sweep lines, IFVG boxes, midline) assist // with review and forward testing. // //─────────────────────────────────────────────────────────────────────── // USER CONFIGURABLE FEATURES //─────────────────────────────────────────────────────────────────────── // // • **Liquidity & Structure** // - pivotLen → swing length for pivots / liquidity // - htfOn → toggle higher-timeframe pivots // - htfTF → timeframe for HTF structure/liquidity // - useStructureFilter → enforce LTF BOS/CHOCH trend // - useHtfExpansionFilter → enforce HTF trend // - showStructureLabels → show BOS/CHOCH labels // - showHtfStructureLabels → show HTF BOS/CHOCH labels // // • **Premium / Discount Midline** // - usePremiumDiscountFilter → only long in discount / short in premium // - pdSession → session used for midline (default 17:00 CST) // - showPdMidLine → show 50% midline // // • **FVG / IFVG Detection** // - useBodyGapFVG → FVG uses candle bodies instead of wicks // - useDisplacementFVG → require displacement bar // - dispAtrMult → minimum ATR threshold for displacement // - showIFVG → draw IFVG boxes // // • **ATR / Volatility / Sessions** // - useRangeFilter → require minimum ATR% // - atrLen → ATR period // - minAtrPerc → minimum ATR% of price // - useSessionFilter → restrict trading hours // - sessionTimes → allowed trading session // // • **Sweep Visualization** // - showSweepLines → draw sweep lines at SSL/BSL sweeps // - sweepLineWidth → thickness of sweep lines // // • **Exits: Partial Targets & Runners** // - usePartialTargets → enable partial TP logic // - tp1QtyPercent → percent closed at TP1 // - tp1FractionOfPath → TP1 relative to path to full target // // • **Formatting / Visibility** // - labelFontSizeInput → tiny / small / normal / large / huge // - showEntries → entry markers // - showTargets → target lines // //═══════════════════════════════════════════════════════════════════════ // END OF STRATEGY DESCRIPTION //═══════════════════════════════════════════════════════════════════════
Estratégia Pine Script®
por jettrader45
Crude Oil Time + Fix Catalyst StrategyHybrid Workflow: Event-Driven Macro + Market DNA Micro 1. Macro Catalyst Layer (Your Overlays) Event Mapping: Fed decisions, LBMA fixes, EIA releases, OPEC+ meetings. Regime Filters: Risk-on/off, volatility regimes, macro bias (hawkish/dovish). Volatility Scaling: ATR-based position sizing, adaptive overlays for London/NY sessions. Governance: Max trades/day, cool-down logic, session boundaries. 👉 This layer answers when and why to engage. 2. Micro Execution Layer (Market DNA) Order Flow Confirmation: Tape reading (Level II, time & sales, bid/ask). Liquidity Zones: Identify support/resistance pools where buyers/sellers cluster. Imbalance Detection: Aggressive buyers/sellers overwhelming the other side. Precision Entry: Only trigger trades when order flow confirms macro catalyst bias. Risk Discipline: Tight stops beyond liquidity zones, conviction-based scaling. 👉 This layer answers how and where to engage. 3. Unified Playbook Step Macro Overlay (Your Edge) Market DNA (Jay’s Edge) Result Event Trigger Fed/LBMA/OPEC+ catalyst flagged — Volatility window opens Bias Filter Hawkish/dovish regime filter — Directional bias set Sizing ATR volatility scaling — Position size calibrated Execution — Tape confirms liquidity imbalance Precision entry Risk Control Governance rules (cool-down, max trades) Tight stops beyond liquidity zones Disciplined exits 4. Gold & Silver Use Case Gold (Fed Day): Overlay flags volatility window → bias hawkish. Market DNA shows sellers hitting bids at resistance. Enter short with volatility-scaled size, stop just above liquidity zone. Silver (LBMA Fix): Overlay highlights fix window → bias neutral. Market DNA shows buyers stepping in at support. Enter long with adaptive size, HUD displays risk metrics. 5. HUD Integration Macro Dashboard: Catalyst timeline, regime filter status, volatility bands. Micro Dashboard: Live tape imbalance meter, liquidity zone map, conviction score. Unified View: Macro tells you when to look, micro tells you when to pull the trigger. ⚡ This hybrid workflow gives you macro awareness + micro precision. Your overlays act as the radar, Jay’s Market DNA acts as the laser scope. Together, they create a disciplined, event-aware, volatility-scaled playbook for gold and silver. Antonio — do you want me to draft this into a compile-safe Pine Script v6 template that embeds the macro overlay logic, while leaving hooks for Market DNA-style execution (order flow confirmation)? That way you’d have a production-ready skeleton to extend across TradingView, TradeStation, and NinjaTrader. Antonio — do you want me to draft this into a compile-safe Pine Script v6 template that embeds the macro overlay logic, while leaving hooks for Market DNA-style execution (order flow confirmation)? That way you’d have a production-ready skeleton to extend across TradingView, TradeStation, and NinjaTrader.
Estratégia Pine Script®
por bettencourt_antonio37
Liquidity Sweep + BOS Retest System — Prop Firm Edition🟦 Liquidity Sweep + BOS Retest System — Prop Firm Edition A High-Probability Smart Money Strategy Built for NQ, ES, and Funding Accounts 🚀 Overview The Liquidity Sweep + BOS Retest System (Prop Firm Edition) is a precision-engineered SMC strategy built specifically for prop firm traders. It mirrors institutional liquidity behavior and combines it with strict account-safe entry rules to help traders pass and maintain funding accounts with consistency. Unlike typical indicators, this system waits for three confirmations — liquidity sweep, displacement, and a clean retest — before executing any trade. Every component is optimized for low drawdown, high R:R, and prop-firm-approved risk management. Whether you’re trading Apex, TakeProfitTrader, FFF, or OneUp Trader, this system gives you a powerful mechanical framework that keeps you within rules while identifying the market’s highest-probability reversal zones. 🔥 Key Features 1. Liquidity Sweep Detection (Stop Hunt Logic) Automatically identifies when price clears a previous swing high/low with a sweep confirmation candle. ✔ Filters noise ✔ Eliminates early entries ✔ Locks onto true liquidity grabs 2. Automatic Break of Structure (BOS) Confirmation Price must show true displacement by breaking structure opposite the sweep direction. ✔ Confirms momentum shift ✔ Removes fake reversals ✔ Ensures institutional intent 3. Precision Retest Entry Model The strategy enters only when price retests the BOS level at premium/discount pricing. ✔ Zero chasing ✔ Extremely tight stop loss placement ✔ Prop-firm-friendly controlled risk 4. Built-In Risk & Trade Management SL set at swept liquidity TP set by user-defined R:R multiplier Optional session filter (NY Open by default) One trade at a time (no pyramiding) Automatically resets logic after each trade This prevents overtrading — the #1 cause of evaluation and account breaches. 5. Designed for Prop Firm Futures Trading This script is optimized for: Trailing/static drawdown accounts Micro contract precision Funding evaluations Low-risk, high-probability setups Structured, rule-based execution It reduces randomness and emotional trading by automating the highest-quality SMC sequence. 🎯 The Trading Model Behind the System Step 1 — Liquidity Sweep Price must take out a recent high/low and close back inside structure. This confirms stop-hunting behavior and marks the beginning of a potential reversal. Step 2 — BOS (Break of Structure) Price must break the opposite side swing with a displacement candle. This validates a directional shift. Step 3 — Retest Entry The system waits for price to retrace into the BOS level and signal continuation. This creates optimal R:R entry with minimal drawdown. 📈 Best Markets NQ (NASDAQ Futures) – Highly recommended ES, YM, RTY Gold (XAUUSD) FX majors Crypto (with high volatility) Works best on 1m, 2m, 5m, or 15m depending on your trading style. 🧠 Why Traders Love This System ✔ No signals until all confirmations align ✔ Reduces overtrading and emotional decisions ✔ Follows market structure instead of random indicators ✔ Perfect for maintaining long-term funded accounts ✔ Built around institutional-grade concepts ✔ Makes your trading consistent, calm, and rules-based ⚙️ Recommended Settings Session: 06:30–08:00 MST (NY Open) R:R: 1.5R – 3R Contracts: Start with 1–2 micros Markets: NQ for best structure & volume 📦 What’s Included Complete strategy logic All plots, labels, sweep markers & BOS alerts BOS retest entry automation Session filtering Stop loss & take profit system Full SMC logic pipeline 🏁 Summary The Liquidity Sweep + BOS Retest System is a complete, prop-firm-ready, structure-based strategy that automates one of the cleanest and most reliable SMC entry models. It is designed to keep you safe, consistent, and rule-compliant while capturing premium institutional setups. If you want to trade with confidence, discipline, and prop-firm precision — this system is for you. Good Luck -BG
Estratégia Pine Script®
por christopher33g
Rasta Long/Short — StrategyThe Rasta Long/Short Strategy is a visual and educational framework designed to help traders study momentum shifts that appear when a fast EMA interacts with a slower smoothed baseline. It is not a signal service. Instead, it is a research tool that helps you observe transitions, structure, and behavior across different market conditions and smoothing contexts. The script plots: A primary EMA line (fast reaction wave). A Smoothed line (your chosen smoothing method). Color-coded fog regions showing directional bias. Optional DNA rung connections between the two lines for structural comparison. Together, these allow a deeper study of how momentum pushes, volatility compression, expansions, and drift emerge around fast/slow EMA interactions. ✦ Core Idea The Rasta Long/Short mechanism studies how price behaves when the fast EMA crosses above or below a smoothed anchor. Rather than predicting price, it reveals where transitions occur across different structures, timeframes, and smoothing techniques. The Long/Short logic simply highlights flips in directional structure. It is not intended for real-time signals or automated execution; it is intended for understanding market movement. ✦ Smoothing Types (Explained) The strategy allows experimenting with several smoothing families to observe how they transform the fast EMA: SMA (Simple Moving Average) Averaged, slower response. Good for stability comparisons. EMA (Exponential) Faster reaction, more responsive, smoother behavior during momentum. RMA (Wilder’s) Used in RSI calculations; steady, well-balanced response. WMA (Weighted) More weight to recent bars; bridges SMA and EMA dynamics. None Raw EMA vs EMA interaction with no secondary smoothing. Each smoothing type provides unique structural information and can lead to different interpretations. ✦ Modes of Study Designed for multi-timeframe research: 1H / 4H — Momentum flow mapping and structural identification. Daily / Weekly — Higher-timeframe rotations, macro structure transitions. 1–15m — Microstructure studies, noise vs trend emergence. Use the built-in Strategy Tester to explore entry/exit context, but treat results as research, not predictive performance. ✦ Components (Visual Study Tools) EMA Line (Fast) Primary reactive wave. Shows fast directional shifts. Smoothed Line (Slow) Trend baseline / reference structure. Fog Region Highlights fast-vs-smoothed directional alignment. DNA Rungs (Optional) Structural “bridges” showing the exact relationship between waves on each bar. Useful for studying separation, compression, and expansions. ✦ Educational Insights This strategy helps illuminate: How fast and slow EMAs interact dynamically. How structure changes precede trend emergence. Where volatility compresses before expansion. How noise, drift, and clean reversals differ. How different smoothers alter the interpretation of the same price data. The goal is clarity — not prediction. ✦ How to Use Apply to any timeframe or instrument. Enable or disable fog depending on preferred visibility. Use DNA rungs for close structural comparison. Observe long/short flips as educational reference points — not signals. Study transitions visually, then backtest using the Strategy Tester for pattern research. ✦ Disclaimer This script is provided for educational and research purposes only. It does not provide trading signals, financial advice, or recommendations. Past behavior does not indicate future performance. Always practice risk-aware study and consult qualified financial professionals when needed. ✦ Author Michael Culpepper (mikeyc747) Creator of the Rasta framework and related market structure studies.
Estratégia Pine Script®
por mikeyc747
2
Faraz Perfect Structure XL / XS (Trend-Filtered)Faraz’s Perfect Structure XL/XS identifies premium trend continuation and reversal setups using a three-filter system: structural breakouts using dynamic swing-based support/resistance, trend confirmation via 200-EMA slope, momentum validation through RSI and MACD. Signals only trigger when all factors align, eliminating noise, chop, and false signals. Designed for traders who want clean, high-probability long (XL) and short (XS) entries.
Estratégia Pine Script®
por fsaleem03
Intellect TBTS V02 [Strategy]📌 Intellect V01 TBO – Trend Breakout Options Strategy Intellect V01 TBO is an intraday trend-breakout strategy designed for index traders who follow Nifty, BankNifty, and FinNifty. It identifies trend shifts using structural pivots, adaptive trendlines, and volatility-adjusted breakout zones. The strategy provides automatic Long/Short signals, optional stop-loss and target projections, and allows users to generate alert messages that include index-option strike information. 🔍 How the Strategy Works 1. Pivot-Based Structure The script identifies short-term high and low pivots using a user-defined period. These pivots become anchor points for constructing directional trendlines. 2. Dynamic Trendline Projection For each pivot, the script builds: A projected trendline Two offset lines above/below A volatility band based on ATR These help detect potential breakout zones. 3. Breakout Signal Logic A trade signal is generated when price crosses the projected trendline: Long Signal – detected when price breaks above a pivot-derived trendline. Short Signal – detected when price breaks below a pivot-derived trendline. Users may optionally restrict entries to a specific time window. 🎯 Stop-Loss & Target Zones When a trade is active: SL and TP levels are set using ATR-based volatility distance Levels appear visually on the chart if enabled Exits occur automatically when TP/SL is hit The strategy also closes open trades near the end of the session (default 3:10 PM) These levels are for visual and backtesting support only. 📝 Index Option Strike Calculation (For Alert Text Only) The strategy can dynamically compute: ATM strike (with optional bias) Correct expiry day for Nifty (weekly) and BankNifty/FinNifty (monthly Tuesday) CE strike for Long signals PE strike for Short signals This strike information is only included in alert text for users who configure external automation. It does not affect backtesting results inside TradingView. ⏱️ Time Window Filter (Optional) Users may define: Start time End time Outside this window, no new trades are generated. 🎛️ User Adjustable Inputs Pivot lookback period Trendline style and extension Display of target/stop-loss Expiry selection mode Strike-bias Lot size (for alert formatting only) Time filter settings 🔔 Alert Messages Alerts include: Direction (Long/Short) Strike details Option type (CE/PE) Quantity A formatted JSON message TradingView does not execute these orders. Users are responsible for managing external automation independently. ⚠️ Important Notes This script does not integrate with any broker by default. It does not place trades automatically; alerts only send text. Backtests simulate index movement, not live option pricing. We recommend using realistic slippage and commission settings. ✔️ This strategy is intended for educational and analytical use. Adjust settings as needed. ✅ 2. CLEAN CHART BEFORE PUBLISHING To avoid moderator flags: Do This Before Publishing: ✔ Remove all manual drawings ✔ Hide any other indicators on the chart ✔ Use light or clean background ✔ Keep only signals/SL/TP from your script If you leave extra drawings, moderators may hide the script again. ✅ 3. FINAL PUBLISHING CHECKLIST Before you click Publish, verify: ✔ Description matches the one above ✔ No broker names anywhere ✔ No "algo trading" or "automation" advertising ✔ Backtest settings are realistic Commission enabled Slippage > 1 Reasonable lot assumption ✔ Chart is clean ✔ Script is set to “Strategy” and compiles without warnings
Estratégia Pine Script®
por karthikbabur
EMA 50/200 Pullback + RSI (BTC/USDT 15m - 2 Bar Logic)I recognize that combining indicators requires clear justification on how the components interact Therefore the new scripts description will explicitly detail the strategys operational logic Objective The strategy is a Trend Following Pullback System designed for high frequency time frames 15m Synergy The EMA50 EMA200 defines the primary Trend Direction Trend Filter It then utilizes a 2 Bar Pullback Logic to find an entry point where the price has momentarily reversed against the trendline and the RSI 14 serves as a Momentum Filter RSI greater than 50 for Long RSI less than 50 for Short to minimize false signals
Estratégia Pine Script®
por nookloves26
Alpha VWAP Regime🔥 Alpha VWAP Regime — Institutional VWAP Strategy (Closed Source) Alpha VWAP Regime is a multi-layered VWAP trading system that identifies the active market regime and adapts its signals based on institutional liquidity behavior. This strategy is closed-source because it uses a proprietary combination of VWAP structures, anchored pivot logic, band deviations, and regime detection filters that are not publicly available. 🧠 How the Strategy Works (Conceptual Explanation) This strategy does not rely on a single VWAP line. Instead, it builds a VWAP matrix consisting of: 1) Session VWAP Defines fair value for the current session. Used to detect intraday directional bias. 2) Anchored VWAP (AVWAP) Automatically anchored to swing highs and lows (pivot-based). Tracks where large players accumulated or distributed positions. 3) VWAP Bands (±1σ and ±2σ) Used as dynamic volatility envelopes: ±1σ = fair-value zone / no-trade area ±2σ = mean-reversion extremes 4) Market Regime Classification (ADX-based) The strategy determines which environment the market is in: Trending Regime: ADX above threshold Ranging Regime: ADX below threshold Breakout Regime: Volume-based breakout of AVWAP Each regime activates a different entry model. 📌 Entry Logic (High-Level Overview) Trend Mode Triggered only when ADX confirms a trend. Entries occur near VWAP or −1σ using price-action confirmation. Mean Reversion Mode Activated when the market is ranging. Entries target the ±2σ deviation bands. Breakout Mode Triggered by price crossing AVWAP with above-average volume. Used to catch institutional continuation moves. ALL Mode Combines the three models for a full adaptive system. 📉 Exits & Risk Management All stops and targets use ATR-based volatility sizing Trend trades aim for larger targets Mean-reversion trades aim for smaller snapback moves Breakouts use wider stops but high R:R 🔍 How to Use the Strategy Load the script on a clean chart Choose your preferred regime mode (Trend / MR / Breakout / ALL) Optionally hide VWAP indicators and display signals only Use realistic position sizing and commissions Evaluate performance across multiple assets and timeframes 🔒 Why It Is Closed-Source The code uses: A custom anchoring engine Multi-layered regime filters Dynamic VWAP matrix Prop logic for bias scoring These components were built from scratch and form a unique decision model, so the source is protected. 🇸🇦 الشرح العربي لاستراتيجية Alpha VWAP Regime Alpha VWAP Regime هي استراتيجية تداول مؤسسية متقدمة تعتمد على تحليل السيولة، وتحديد حالة السوق (Market Regime)، ودمج عدة طبقات من VWAP داخل نموذج واحد متكيف. الهدف من الاستراتيجية هو التداول في المناطق التي يتواجد فيها المال الذكي، وتجنب التداول في المناطق العشوائية أو منخفضة الجودة. ________________________________________ 🧠 كيف تعمل الاستراتيجية؟ الاستراتيجية لا تعتمد على VWAP واحد، بل تستخدم “مصفوفة VWAP” كاملة تتكوّن من: 1) VWAP اليومي (Session VWAP) يُستخدم لتحديد القيمة العادلة خلال الجلسة، وتحديد الاتجاه اللحظي (Intraday Bias). ________________________________________ 2) VWAP المثبّت (Anchored VWAP) يتم تثبيته تلقائيًا على: • القمم المهمة (Swing Highs) • القيعان المهمة (Swing Lows) ويساعد في تحديد مناطق تمركز المؤسسات، ومناطق الانعكاس أو الاختراقات الحقيقية. ________________________________________ 3) نطاقات VWAP (±1σ و ±2σ) تُستخدم كأغلفة ديناميكية للسيولة والتقلب: • ±1σ = منطقة القيمة العادلة (Fair-Value Zone) → غالبًا منطقة غير مناسبة للتداول (No-Trade Zone) • ±2σ = مناطق التشبّع الحركي (Extremes) → مناسبة لاستراتيجيات الانعكاس (Mean Reversion) ________________________________________ 4) تصنيف حالة السوق Market Regimes الاستراتيجية تستخدم مؤشر ADX لتحديد حالة السوق الحالية: حالة السوق الوصف Trending اتجاه واضح وقوي Ranging تذبذب بدون اتجاه Breakout اختراق مدعوم بحجم تداول كل Regime يفعّل نموذج دخول مختلف داخل الاستراتيجية. ________________________________________ 🎯 نماذج الدخول داخل الاستراتيجية 1) نموذج الاتجاه (Trend Mode) يعمل فقط عندما يكون السوق في اتجاه حقيقي. يعتمد على دخول Pullbacks قرب VWAP أو نطاق −1σ مع تأكيد شموعي. ________________________________________ 2) نموذج الانعكاس (Mean Reversion Mode) يعمل فقط عندما يكون السوق متذبذبًا (Range). الدخول عند لمس ±2σ بهدف العودة نحو VWAP. ________________________________________ 3) نموذج الاختراق (Breakout Mode) يستخدم اختراقات Anchored VWAP ولكن بشرط وجود حجم تداول أعلى من المتوسط (Volume Confirmation). ________________________________________ 4) وضع الدمج (ALL Mode) يجمع بين النماذج الثلاثة ويجعل الاستراتيجية متكيفة تلقائيًا مع كل حالات السوق. ________________________________________ 📉 الخروج وإدارة المخاطر تستخدم الاستراتيجية نظامًا ديناميكيًا لإدارة المخاطر: • وقف الخسارة مبني على ATR • الأهداف مبنية على طبيعة النموذج • الصفقات الاتجاهية تستهدف R:R أعلى • صفقات MR أقصر وأسرع • صفقات Breakout أوسع ولكن مدعومة بزخم قوي ________________________________________ 🧩 كيفية استخدام الاستراتيجية 1. ضع الاستراتيجية على رسم بياني نظيف بدون مؤشرات إضافية 2. اختر نموذج الدخول المناسب من الإعدادات 3. فعّل أو أخفِ خطوط VWAP حسب الحاجة 4. استخدم إعدادات مخاطرة واقعية 5. اختبر الاستراتيجية على عدة أسواق وفريمات ________________________________________ 🔒 سبب إغلاق الكود تم إغلاق الكود لأنها تعتمد على: • محرك تثبيت AVWAP خاص • نظام Regime Detection متقدم • مصفوفة VWAP متعددة الطبقات • منطق دخول/خروج خاص تم تطويره بالكامل كل ذلك يتطلب حماية الملكية الفكرية، لذا تم نشرها Closed-Source.
Estratégia Pine Script®
por AhmedAminTC
EMA Cross Strategy v5 (30 lots) (15 min candle only)- safe flip🚀 EMA Cross Strategy v5 (30 Lots) (15 min candle only)— Safe Flip Edition Fully Automated | Fast | Reliable | Battle-tested Welcome to a clean, powerful, and automation-friendly EMA crossover system. This strategy is built for traders who want consistent trend-based entries without the risk of unwanted pyramiding or doubled positions. 🔥 How It Works This strategy uses a fast EMA (10) crossing a slow EMA (20) to detect trend shifts: Bullish Crossover → LONG (30 lots) Bearish Crossover → SHORT (30 lots) Every opposite signal safely flips the position by first closing the current trade, then opening a fresh position of exactly 30 lots. No doubling. No runaway position size. No surprises. Just clean, mechanical trend-following. 📈 Why This Strategy Stands Out Unlike basic EMA crossbots, this version: ✔ Prevents unintended pyramiding ✔ Never over-allocates capital ✔ Works perfectly with webhook-based automation ✔ Produces stable, systematic entries ✔ Executes directional flips with precision 🔍 Backtest Highlights (1-Year) (Backtests will vary by instrument/timeframe) 1,500+ trades executed Profit factor above 1.27 Strong trend performance Balanced long/short behavior No margin calls Consistent trade execution This strategy thrives in trending markets and maintains strict discipline even in choppy conditions. ⚙️ Automation Ready Designed for automated execution via webhook and API setups on supported platforms. Just connect, run, and let the bot follow the rules without hesitation. No emotions. No overtrading. No fear or greed. Pure logic.
Estratégia Pine Script®
por kulkarniabhishek38
1
Golden Cross 50/200 EMATrend-following systems are characterized by having a low win rate, yet in the right circumstances (trending markets and higher timeframes) they can deliver returns that even surpass those of systems with a high win rate. Below, I show you a simple bullish trend-following system with clear execution rules: System Rules -Long entries when the 50-period EMA crosses above the 200-period EMA. -Stop Loss (SL) placed at the lowest low of the 15 candles prior to the entry candle. -Take Profit (TP) triggered when the 50-period EMA crosses below the 200-period EMA. Risk Management -Initial capital: $10,000 -Position size: 10% of capital per trade -Commissions: 0.1% per trade Important Note: In the code, the stop loss is defined using the swing low (15 candles), but the position size is not adjusted based on the distance to the stop loss. In other words, 10% of the equity is risked on each trade, but the actual loss on the trade is not controlled by a maximum fixed percentage of the account — it depends entirely on the stop loss level. This means the loss on a single trade could be significantly higher or lower than 10% of the account equity, depending on volatility. Implementing leverage or reducing position size based on volatility is something I haven’t been able to include in the code, but it would dramatically improve the system’s performance. It would fix a consistent percentage loss per trade, preventing losses from fluctuating wildly with changes in volatility. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to stop loss And when volatility is high and would exceed the fixed percentage we want to expose per trade (if the SL is hit), we could reduce the position size accordingly. Practical example: Imagine we only want to risk 15% of the position value if the stop loss is triggered on Tesla (which has high volatility), but the distance to the SL represents a potential 23.57% drop. In this case, we subtract the desired risk (15%) from the actual volatility-based loss (23.57%): 23.57% − 15% = 8.57% Now suppose we normally use $200 per trade. To calculate 8.57% of $200: 200 × (8.57 / 100) = $17.14 Then subtract that amount from the original position size: $200 − $17.14 = $182.86 In summary: If we reduce the position size to $182.86 (instead of the usual $200), even if Tesla moves 23.57% against us and hits the stop loss, we would still only lose approximately 15% of the original $200 position — exactly the risk level we defined. This way, we strictly respect our risk management rules regardless of volatility swings. I hope this clearly explains the importance of capping losses at a fixed percentage per trade. This keeps risk under control while maintaining a consistent percentage of capital invested per trade — preventing both statistical distortion of the system and the potential destruction of the account. About the code: Strategy declaration: The strategy is named 'Golden Cross 50/200 EMA'. overlay=true means it will be drawn directly on the price chart. initial_capital=10000 sets the initial capital to $10,000. default_qty_type=strategy.percent_of_equity and default_qty_value=10 means each trade uses 10% of available equity. margin_long=0 indicates no margin is used for long positions (this is likely for simulation purposes only; in real trading, margin would be required). commission_type=strategy.commission.percent and commission_value=0.1 sets a 0.1% commission per trade. Indicators: Calculates two EMAs: a 50-period EMA (ema50) and a 200-period EMA (ema200). Crossover detection: bullCross is triggered when the 50-period EMA crosses above the 200-period EMA (Golden Cross). bearCross is triggered when the 50-period EMA crosses below the 200-period EMA (Death Cross). Recent swing: swingLow calculates the lowest low of the previous 15 periods. Stop Loss: entryStopLoss is a variable initialized as na (not available) and is updated to the current swingLow value whenever a bullCross occurs. Entry and exit conditions: Entry: When a bullCross occurs, the initial stop loss is set to the current swingLow and a long position is opened. Exit on opposite signal: When a bearCross occurs, the long position is closed. Exit on stop loss: If the price falls below entryStopLoss while a position is open, the position is closed. Visualization: Both EMAs are plotted (50-period in blue, 200-period in red). Green triangles are plotted below the bar on a bullCross, and red triangles above the bar on a bearCross. A horizontal orange line is drawn that shows the stop loss level whenever a position is open. Alerts: Alerts are created for:Long entry Exit on bearish crossover (Death Cross) Exit triggered by stop loss Favorable Conditions: Tesla (45-minute timeframe) June 29, 2010 – November 17, 2025 Total net profit: $12,458.73 or +124.59% Maximum drawdown: $1,210.40 or 8.29% Total trades: 107 Winning trades: 27.10% (29/107) Profit factor: 3.141 Tesla (1-hour timeframe) June 29, 2010 – November 17, 2025 Total net profit: $7,681.83 or +76.82% Maximum drawdown: $993.36 or 7.30% Total trades: 75 Winning trades: 29.33% (22/75) Profit factor: 3.157 Netflix (45-minute timeframe) May 23, 2002 – November 17, 2025 Total net profit: $11,380.73 or +113.81% Maximum drawdown: $699.45 or 5.98% Total trades: 134 Winning trades: 36.57% (49/134) Profit factor: 2.885 Netflix (1-hour timeframe) May 23, 2002 – November 17, 2025 Total net profit: $11,689.05 or +116.89% Maximum drawdown: $844.55 or 7.24% Total trades: 107 Winning trades: 37.38% (40/107) Profit factor: 2.915 Netflix (2-hour timeframe) May 23, 2002 – November 17, 2025 Total net profit: $12,807.71 or +128.10% Maximum drawdown: $866.52 or 6.03% Total trades: 56 Winning trades: 41.07% (23/56) Profit factor: 3.891 Meta (45-minute timeframe) May 18, 2012 – November 17, 2025 Total net profit: $2,370.02 or +23.70% Maximum drawdown: $365.27 or 3.50% Total trades: 83 Winning trades: 31.33% (26/83) Profit factor: 2.419 Apple (45-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $8,232.55 or +80.59% Maximum drawdown: $581.11 or 3.16% Total trades: 140 Winning trades: 34.29% (48/140) Profit factor: 3.009 Apple (1-hour timeframe) January 3, 2000 – November 17, 2025 Total net profit: $9,685.89 or +94.93% Maximum drawdown: $374.69 or 2.26% Total trades: 118 Winning trades: 35.59% (42/118) Profit factor: 3.463 Apple (2-hour timeframe) January 3, 2000 – November 17, 2025 Total net profit: $8,001.28 or +77.99% Maximum drawdown: $755.84 or 7.56% Total trades: 67 Winning trades: 41.79% (28/67) Profit factor: 3.825 NVDA (15-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $11,828.56 or +118.29% Maximum drawdown: $1,275.43 or 8.06% Total trades: 466 Winning trades: 28.11% (131/466) Profit factor: 2.033 NVDA (30-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $12,203.21 or +122.03% Maximum drawdown: $1,661.86 or 10.35% Total trades: 245 Winning trades: 28.98% (71/245) Profit factor: 2.291 NVDA (45-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $16,793.48 or +167.93% Maximum drawdown: $1,458.81 or 8.40% Total trades: 172 Winning trades: 33.14% (57/172) Profit factor: 2.927
Estratégia Pine Script®
por Especulador96
6
AutoTrader v3.0[by Irum]1. 스크립트 목적 / 정의 1-1. 한글 설명 이 스크립트의 목적 15분봉 BTC/USDT 같은 레버리지/선물 환경에서, “EMA 재돌파 + BB 스퀴즈 국면”에서만 진입하고, 상위 추세(레짐 필터) + ATR 기반 리스크/수량 + ATR 트레일링 + 부분청산을 한 번에 관리하는 “올인원 자동 전략”입니다. 핵심 특징: 진입 로직 EMA(기본 9) 를 기준으로 종가가 EMA를 위로 돌파(골든크로스) & BB 폭이 좁을 때 → Long 진입 후보 종가가 EMA를 아래로 돌파(데드크로스) & BB 폭이 좁을 때 → Short 진입 후보 이걸 “Re-break + Squeeze” 구조로 설계해서, 변동성이 줄었다가 방향이 다시 나오려는 시점만 노립니다. 레짐 필터(Regime Filter) 상위 타임프레임(기본 1시간봉 HTF EMA 200)의 기울기와 ATR 빠른 선/느린 선으로 상승 추세 + 변동성 살아있는 구간만 Long 허용 하락 추세 + 변동성 살아있는 구간만 Short 허용 즉, 역추세 매매를 최대한 차단하고, 추세 방향만 따라갑니다. Pivot 기반 손절 + ATR 리스크 기반 수량(ATR Sizing v2.1) 최근 swing low/high(피벗) 또는 일정 구간 fallback low/high를 기준으로 기술적 손절선을 잡고, 그 손절까지의 거리를 이용해, “한 번의 손절 시 계좌의 riskPct%만 잃도록” 수량을 자동 계산합니다. ATR 스파이크(갑작스러운 변동성 폭발) 구간은 진입 자체를 피하려고 합니다. R-multiple 기반 TP + 부분 청산 + ATR Ladder 트레일링 진입 시점의 위험(R = Entry - SL) 을 기준으로 R 배수 기준 부분청산(예: 1R에서 50% 청산) R 배수 기준 최종 TP(예: 2R) 포지션이 잘 가면 ATR 기반 트레일링 스탑(ATR Ladder) 을 적용해서, 이익 구간에서 손절선을 점점 끌어올려 BE(본전 이상) → 수익 보호 모드로 전환합니다. 세션 필터 / 뉴욕 뉴스피크 회피용 세션 회피 사용자가 정한 세션 안에서만 매매하거나, 특정 뉴스 타임(예: CPI, FOMC 근처 시간대)을 회피하도록 시간대를 차단할 수 있습니다. 1-2. English Description Purpose This strategy is an all-in-one auto-trading system designed mainly for leveraged/futures markets (e.g., BTC/USDT 15m) that: Enters only on EMA re-break + Bollinger Band squeeze Uses higher timeframe regime filter for trend direction Sizes positions with ATR-based risk (v2.1) Manages exits with R-multiple partial TP + final TP + ATR ladder trailing stop Key points: Entry Logic Uses a fast EMA (default 9). When price crosses above EMA and BB width is below threshold (squeeze) → Long signal. When price crosses below EMA and BB width is below threshold → Short signal. So it focuses on volatility contraction → re-expansion setups. Regime Filter Uses HTF EMA (default 200 EMA on 60m) slope + fast vs slow ATR: Only allow long trades in uptrend + active volatility Only allow short trades in downtrend + active volatility This is to avoid counter-trend trading and align with macro trend. Pivot-based SL + ATR Sizing v2.1 Sets SL using recent pivot highs/lows with a minimum buffer. Computes risk per unit and chooses quantity so that riskPct % of equity is lost at SL. Filters out trades during ATR spikes (abnormally large volatility). R-multiple TP + Partial + ATR Ladder Trailing Uses the initial risk (R) to: Take partial profit at partialRR R (e.g., 1R at 50% size). Set final TP at finalRR R or a fixed % TP. Uses ATR ladder trailing to progressively tighten stops as price moves in favor. Session / News Avoidance Optionally trade only inside a custom session, Or avoid specific time windows (e.g., high-impact news).
Estratégia Pine Script®
por IrumB
1
ATR Trend + RSI Pullback Strategy [Profit-Focused]This strategy is designed to catch high-probability pullbacks during strong trends using a combination of ATR-based volatility filters, RSI exhaustion levels, and a trend-following entry model. Strategy Logic Rather than relying on lagging crossovers, this model waits for RSI to dip into oversold zones (below 40) while price remains above a long-term EMA (default: 200). This setup captures pullbacks in strong uptrends, allowing traders to enter early in a move while controlling risk dynamically. To avoid entries during low-volatility conditions or sideways price action, it applies a minimum ATR filter. The ATR also defines both the stop-loss and take-profit levels, allowing the model to adapt to changing market conditions. Exit logic includes: A take-profit at 3× the ATR distance A stop-loss at 1.5× the ATR distance An optional early exit if RSI crosses above 70, signaling overbought conditions Technical Details Trend Filter: 200 EMA – must be rising and price must be above it Entry Signal: RSI dips below 40 during an uptrend Volatility Filter: ATR must be above a user-defined minimum threshold Stop-Loss: 1.5× ATR below entry price Take-Profit: 3.0× ATR above entry price Exit on Overbought: RSI > 70 (optional early exit) Backtest Settings Initial Capital: $10,000 Position Sizing: 5% of equity per trade Slippage: 1 tick Commission: 0.075% per trade Trade Direction: Long only Timeframes Tested: 15m, 1H, and 30m on trending assets like BTCUSD, NAS100, ETHUSD This model is tuned for positive P&L across trending environments and volatile markets. Educational Use Only This strategy is for educational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always validate performance on multiple markets and timeframes before using it in live trading.
Estratégia Pine Script®
por AIScripts
2
Seawolf Pivot Hunter [Strategy]Overview Seawolf Pivot Hunter is a practical trading strategy that enhances the classic pivot-box breakout system with a structured risk-management framework. Using ATR-based stop loss and take-profit calculations, position sizing, multi-layer filtering, and daily loss-limit protection, it provides a stable and sustainable trading environment. It preserves the strengths of the original version while adding systems designed to manage real-market risks more effectively. Core Philosophy The most important element in trading is not generating profits but controlling losses. Even the best entry signals cannot compensate for a single large loss that wipes out accumulated gains. This strategy precisely calculates the risk exposure for every trade and includes multiple layers of protection to safeguard the account under worst-case scenarios. Indicator Setup Link kr.tradingview.com Example of Optimal Parameter Settings Asset (Exchange): ETH/USDT (Binance) Timeframe: 15-minute chart Pivot Detection Length: 5 Upper Box Width: 2 Lower Box Width: 2 Enable Risk Management: False Use Trailing Stop: False Use Volume Filter -Min Buy Volume % for Long: 50 -Min Sell Volume % for Short: 50 Use Trend Filter (EMA): False Enable Max Loss Protection -Max Daily Loss ($): 200 -Max Trades Per Day: 10 Calculated Bars: 50,000 Risk-Management System Every trade automatically receives a stop-loss level at the moment of entry. The stop is calculated using ATR, adjusting dynamically to market volatility. When volatility increases, the stop widens; in stable conditions, it tightens to reduce unnecessary exits. The default distance is set to twice the ATR. The standard take-profit level is set to four times the ATR, providing a 1:2 risk-reward structure. With this ratio, even a 50 percent win rate can produce profitability—while the typical trade structure aims for small losses and larger gains to support long-term performance. A trailing-stop option is also available. Once the trade moves into profit, the stop level automatically trails behind price action, protecting gains while allowing the position to expand when momentum continues. Position size is calculated automatically based on the selected risk percentage. For example, with a 2 percent risk setting, each stop-loss hit would result in exactly 2 percent of the account balance being lost. This ensures a consistent risk profile regardless of account size. The daily loss-limit function prevents excessive drawdown by halting new trades once a predefined loss threshold is reached. This helps avoid emotional decision-making after consecutive losses. A daily trade-limit feature is included as well. The default is 10 trades per day, protecting traders from overtrading and unnecessary fees. Filtering System The volume filter analyzes buying and selling pressure within the pivot box. Long trades are allowed only when buy volume exceeds a specified percentage; shorts require sell-volume dominance. The default threshold is 55 percent. The trend filter uses an EMA to determine market direction. When price is above the 200-EMA, only long signals are permitted; when below, only shorts are allowed. This ensures alignment with the broader trend and reduces counter-trend risk. Each filter can be toggled independently. More filters generally reduce trade frequency but improve signal quality. Real-Time Monitoring A real-time statistics panel displays daily profit/loss, the number of trades taken, the maximum allowed trades, and whether new trades are currently permitted. When daily limits are reached, the panel provides clear visual warnings. Entry Logic A trade is validated only after a pivot-box breakout occurs and all active filters—volume, trend, daily loss limit, and daily trade limit—are satisfied. Position size, stop loss, and take-profit levels are then calculated automatically. Entry arrows and labels on the chart help with later review and analysis. Setup Guide Risk percentage is the most critical setting. Beginners should start at 1 percent. Anything above 3 percent becomes aggressive. ATR stop-loss multipliers should reflect asset volatility. ATR take-profit multipliers determine reward ratio; 4.0 is the standard. Volume thresholds are typically set between 50–60 percent depending on market conditions. Daily loss limits are typically 2–5 percent of the account. Trading Strategy This strategy performs best in trending environments and works especially well on the 4-hour and daily charts. New users should begin with all filters enabled and trade conservatively. A minimum of one month of paper trading is recommended before committing real capital. Suitable Users The strategy is ideal for beginners who lack risk-management experience as well as advanced traders seeking a customizable structure. It is particularly helpful for traders who struggle with emotional decision-making, as pre-defined limits and rules enforce discipline. Backtesting Guide Use at least 2–3 years of historical data that includes bullish, bearish, and sideways conditions. Target metrics: Sharpe ratio: 1.5 or higher Maximum drawdown: below 25 percent Win rate: 40 percent or higher Total trades: at least 100 for statistical relevance Optimization Precautions Avoid over-fitting parameters. Always test values around the “best” setting to verify stability. Out-of-sample testing is essential for confirming robustness. Test across multiple assets and timeframes to ensure consistency. Live Deployment Roadmap After successful backtesting, follow a gradual rollout: Paper trading for at least one month Small-account live testing Slow scaling as performance stabilizes Continuous Improvement Keep a detailed trading journal and evaluate performance each quarter using recent data. Adapt settings as market conditions evolve. Conclusion Seawolf Pivot Hunter aims to provide more than simple trade signals—it is designed to create a stable and sustainable trading system built on disciplined risk management. No strategy is perfect, and long-term success depends on consistency, patience, and strict adherence to rules. Start small, verify results, and scale progressively. Disclaimer This strategy is for educational and research purposes only. Past performance does not guarantee future results. All trading decisions are the responsibility of the user. 개요 Seawolf Pivot Hunter는 기본 피봇 박스 브레이크아웃 전략에 전문적인 리스크 관리 시스템을 더한 실전형 트레이딩 전략입니다. ATR 기반의 손절매와 목표가 설정, 포지션 사이징, 다층 필터링 시스템, 일일 손실 제한 기능을 통해 안정적이고 지속 가능한 트레이딩 환경을 제공합니다. 기본 버전의 장점은 유지하면서 실제 시장에서 발생할 수 있는 위험을 체계적으로 관리할 수 있도록 설계되었습니다. 핵심 철학 트레이딩에서 가장 중요한 것은 수익이 아니라 손실 관리입니다. 아무리 훌륭한 진입 조건이 있어도 한 번의 큰 손실로 모든 수익이 사라질 수 있습니다. 이 전략은 각 거래마다 감수할 리스크를 명확히 계산하고, 최악의 상황에서도 계좌를 보호하기 위한 다양한 안전장치를 제공합니다. 지표 적용 링크 공유 kr.tradingview.com 최적 조건값 설정(예시) "종목(거래소): ETH/USDT(Binance)", "15 분봉 기준" -Pivot Detection Length: 5 -Upper Box width: 2 -Lower Box width: 2 -Enable Risk Management: False -Use Trailing Stop: False -Use Volume Filter -Min Buy Volume % for Long: 50 -Min Buy Volume % for Long: 50 -Use Trend Filter(EMA): False -Enable Max Loss Protection -Max Daily Loss($): 200 -Max Trades Per Day: 10 -Calucated bars: 50000 리스크 관리 시스템 모든 거래는 진입과 동시에 손절매 주문이 자동 설정됩니다. 손절가는 ATR을 기준으로 계산되며, 시장의 변동성에 따라 자동으로 조정됩니다. 변동성이 큰 시장에서는 넓은 손절폭을, 안정적인 시장에서는 좁은 손절폭을 사용해 불필요한 청산을 줄입니다. 기본값은 ATR의 2배입니다. 목표가는 ATR의 4배를 기본값으로 설정하여 손익비 1:2 구조를 유지합니다. 승률이 50퍼센트만 되어도 수익성이 가능하며, 실제로는 손절은 짧고 이익은 길게 가져가는 방식으로 장기 성과를 확보합니다. 트레일링 스톱 기능도 제공됩니다. 포지션이 수익 구간에 들어서면 손절가가 자동으로 함께 움직이며 수익을 보호합니다. 이 기능은 사용자가 켜거나 끌 수 있습니다. 포지션 크기는 리스크 퍼센트 기반으로 자동 계산됩니다. 예를 들어 리스크를 2퍼센트로 설정하면 손절 시 계좌 자산의 2퍼센트만 잃도록 수량이 조절됩니다. 계좌 크기와 무관하게 항상 일정한 비율의 리스크만 감수하게 되는 방식입니다. 일일 손실 제한 기능은 하루에 허용 가능한 최대 손실을 초과하지 않도록 합니다. 지정 금액에 도달하면 당일 거래는 더 이상 실행되지 않습니다. 감정적 거래를 막고 일정한 규율을 유지하도록 돕습니다. 일일 거래 횟수 제한 기능도 제공됩니다. 기본값은 하루 10회로, 과매매와 수수료 증가를 방지합니다. 필터링 시스템 볼륨 필터는 박스 구간 내 매수·매도 압력을 분석해 진입 신호를 검증합니다. 롱은 매수 볼륨이 일정 비율 이상일 때, 숏은 매도 볼륨이 우세할 때만 진입합니다. 기본값은 55퍼센트입니다. 추세 필터는 EMA를 사용하며, 가격이 200EMA 위에 있을 때는 롱 신호만, 아래에서는 숏 신호만 허용합니다. 큰 추세 방향에만 거래하여 역추세 리스크를 줄입니다. 필터는 독립적으로 켜고 끌 수 있으며, 필터가 많을수록 거래 횟수는 줄지만 신호 품질은 향상됩니다. 실시간 모니터링 화면에 실시간 통계 테이블이 표시되며, 일일 손익, 거래 횟수, 최대 허용 횟수, 현재 거래 가능 여부가 즉시 확인됩니다. 손실 제한 또는 거래 제한 도달 시 시각적으로 표시됩니다. 진입 로직 피봇 박스 브레이크아웃 발생 후 볼륨 필터, 추세 필터, 일일 손실·거래 제한을 모두 통과하면 포지션 크기를 계산하고 손절·목표가를 설정한 뒤 진입합니다. 진입 지점에는 화살표와 레이블이 표시되어 분석에 도움을 줍니다. 설정 가이드 리스크 퍼센트는 가장 중요한 설정입니다. 초보자는 1퍼센트를 추천하며 3퍼센트 이상은 위험합니다. 손절 ATR 배수는 자산 특성에 맞게 조절합니다. 목표가 ATR 배수는 손익비를 결정하며 기본값은 4.0입니다. 볼륨 비율은 시장 상황에 따라 50~60퍼센트 내외로 조정합니다. 일일 손실 제한은 계좌의 2~5퍼센트 수준이 적절합니다. 사용 전략 추세가 명확한 시장에서 가장 효과적이며, 4시간봉 또는 일봉을 추천합니다. 초반에는 모든 필터를 켜고 보수적으로 시작하며, 최소 한 달간 페이퍼 트레이딩을 권장합니다. 적합한 사용자 리스크 관리 경험이 부족한 초보자부터, 커스터마이징을 원하는 경험자까지 폭넓게 적합합니다. 감정적 트레이딩을 억제하는 기능이 있어 규율 유지가 어렵던 트레이더에게 특히 유용합니다. 백테스트 가이드 최소 2~3년 데이터로 테스트하며, 상승·하락·횡보 모두 포함해야 합니다. 샤프비율 1.5 이상, 최대 낙폭 25퍼센트 이하를 목표로 합니다. 승률은 40퍼센트 이상이면 충분합니다. 최소 100회 이상 거래가 있어야 통계적으로 의미가 있습니다. 최적화 주의사항 과최적화를 피하고 주변 값도 테스트해야 합니다. 샘플 외 기간 검증은 필수입니다. 여러 자산·여러 시간대에서 테스트하여 일관성을 확인해야 합니다. 실전 적용 로드맵 백테스트 후 바로 실전 투입하지 말고, 한 달 이상의 페이퍼 트레이딩 → 소액 실전 → 점진적 확대 순으로 진행합니다. 지속적 개선 일지를 기록하고 분기마다 최신 데이터로 점검합니다. 시장 변화에 따라 유연하게 조정해야 합니다. 마치며 Seawolf Pivot Hunter는 단순 신호 제공을 넘어, 안전하고 지속 가능한 트레이딩 환경 구축을 목표로 합니다. 어떤 전략도 완벽할 수 없으며, 장기적 성공을 위해서는 규칙 준수와 인내가 가장 중요합니다. 충분한 검증을 거쳐 작은 금액으로 시작하고 점진적으로 확장해나가는 접근을 추천합니다. 면책 조항 이 전략은 교육 및 연구 목적이며, 과거 성과는 미래를 보장하지 않습니다. 모든 투자 결정은 본인의 판단과 책임 하에 이루어져야 합니다.
Estratégia Pine Script®
por Seawolf_AGI
Bitcoin & Ethereum Profitable Crypto Investor – FREE EditionBitcoin & Ethereum Profitable Crypto Investor – FREE Edition by RustyTradingScripts This is the free, simplified edition of my long-term crypto trend-following strategy designed for Bitcoin, Ethereum, and other major assets. It provides an accessible introduction to the core concepts behind the full version while remaining easy to use, transparent, and beginner-friendly. This FREE edition focuses on a single technical component: a 102-period Simple Moving Average trend model. When price moves above the SMA, the script considers it a potential long trend environment. When the slope begins to turn down, the strategy exits the position. This creates a straightforward, rules-based framework for identifying trend shifts without emotional or discretionary decision-making. The goal of this simplified version is to help users understand how a structured trend approach behaves during different market conditions. It demonstrates how using a slow, objective indicator can reduce noise and provide clearer long-term directional context on higher timeframes such as the 10-hour BTC chart shown in the backtest example. What This FREE Version Includes - Trend-based entries using a 102-period SMA - Automatic exits when the SMA slope turns down - Clean visual plot of the moving average - No repainting — signals are based on confirmed bar data - Works on BTC, ETH, and other major crypto assets - User-adjustable SMA length for customization What’s Not Included in This Version: This edition intentionally focuses on the essential trend logic only. It does NOT include the following components found in the full investor strategy: - Linear regression smoothing - Seasonal filters - Price-extension filtering - Volume-based protection - Partial stop-loss and partial take-profit systems - Cooldown logic after profitable trades - RSI-based extended exits - Multi-layered trade management modules The purpose of this free version is to provide a clear, functional introduction to the underlying trend concept without the advanced filters and risk-management features that are part of the complete system. How to Use It Apply the script to your preferred asset and timeframe (commonly higher timeframes such as 4H, 8H, 10H, 12H, or 1D). The script will enter long positions when the market is trading above the SMA and exit when the slope of the average begins to point downward. Users may adjust the SMA length to match their preferred level of responsiveness. Important Notes This script is for educational and analytical purposes. Historical results are not guarantees of future performance. Always practice proper risk management and perform your own testing. This script does not repaint. This FREE version is meant as a helpful starting point for those exploring long-term crypto trend strategies. If you find it useful and wish to explore more advanced tools, feel free to reach out for additional information.
Estratégia Pine Script®
por RustyTradingScripts