Black Friday최대 80% 싸게

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SMC MTF + FVG + Trailing TP 100% [FIXED]Component Description Entry Timeframe: H1 Trend Filter: D1 (EMA50 vs EMA200) Trend Filter Only enter BUY orders if EMA50 > EMA200 on D1 (uptrend) Only enter SELL orders if EMA50 < EMA200 (downtrend) Break of Structure (BOS) Identify the previous swing high/low breakout point Order Block (OB) The candle area before BOS is marked with an orange box Fair Value Gap (FVG) Check for the presence of a price gap to confirm Entry Trailing TP Trigger trailing after reaching the desired R (in pips or ATR)
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SMCFVL의
Risk-Managed StrategyRisk-Managed Strategy is a complete algorithmic trading framework that blends multiple technical systems—RSI, MACD, EMA crossover, Bollinger Bands, and SuperTrend—into a unified signal engine. The script dynamically calculates position size based on capital, risk percentage, ATR-based stop loss, and reward-ratio targets. It features: -Multi-indicator signal voting (BUY / SELL / NEUTRAL) - Dynamic capital tracking across trades - Automatic position sizing based on risk amount - Auto-generated Stop Loss and Take Profit using recent highs/lows - On-chart SL, TP, and CMP plotting for clarity This strategy is designed for traders who want a professional, rule-based system that balances accuracy, risk control, and automation. Disclaimer: The information provided is for educational and informational purposes only. It does not constitute financial or investment advice. Trading and investing in stocks involves risk, including the possible loss of capital. Any decisions to buy, sell, or hold securities are the sole responsibility of the reader. Past performance is not indicative of future results. Always do your own research and, if necessary, consult with a licensed financial advisor before making investment decisions.
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AlphaFox-Traders의
黃金5KCompelling Sales Description: Unlock the Treasure of Consistent Profits! Want to know where the market's hidden opportunities lie? Go find them—with our powerful RSI + BB + Channel Automated Trading Strategy! Tired of guessing when to enter or exit trades? Let our advanced algorithm do the heavy lifting for you. This strategy seamlessly combines: RSI (Relative Strength Index) to identify overbought or oversold conditions. Bollinger Bands (BB) to track volatility and pinpoint potential breakouts. Channel Trading to capitalize on trending markets and price boundaries. Fully automated, this system executes trades with precision, eliminating emotional decisions and saving you time. Whether you're a beginner or an experienced trader, this strategy adapts to market shifts to help you stay ahead. Don't just chase profits—unlock the treasure of disciplined, data-driven trading. Ready to transform your trading journey? Contact us for details at: kbocc123@gmail.com Seize the strategy. Secure your success. 🚀
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winds11의
CNN Fear and Greed StrategyAdaptation of the CNN Fear and Greed Index Indicator (Original by EdgeTools) The following changes have been implemented: Put/Call Ratio Data Source: The data source for the Put/Call Ratio has been updated. Bond Data Source: The data sources for the bond components (Safe Haven Demand and Junk Bond Demand) have been updated. Normalization Adjustment: The normalization method has been adjusted to allow the CNN Fear and Greed Index to display over a longer historical period, optimizing it for backtesting purposes. Style Modification: The display style has been modified for a simpler and cleaner appearance. Strategy Logic Addition: Added a new strategy entry condition: index >= 25 AND index crosses over its 5-period Simple Moving Average (SMA), and a corresponding exit condition of holding the position for 252 bars (days). CNN Fear & Greed Backtest Strategy (Adapted) This script is an adaptation of the popular CNN Fear & Greed Index, originally created by EdgeTools, with significant modifications to optimize it for long-term backtesting on the TradingView platform. The core function of the Fear & Greed Index is to measure the current emotional state of the stock market, ranging from 0 (Extreme Fear) to 100 (Extreme Greed). It operates on the principle that excessive fear drives prices too low (a potential buying opportunity), and excessive greed drives them too high (a potential selling opportunity). Key Components of the Index (7 Factors) The composite index is calculated as a weighted average of seven market indicators, each normalized to a score between 0 and 100: Market Momentum: S&P 500's current level vs. its 125-day Moving Average. Stock Price Strength: Stocks hitting 52-week highs vs. those hitting 52-week lows. Stock Price Breadth: Measured by the McClellan Volume Summation Index (or similar volume/breadth metric). Put/Call Ratio: The relationship between volume of put options (bearish bets) and call options (bullish bets). Market Volatility: The CBOE VIX Index relative to its 50-day Moving Average. Safe Haven Demand: The relative performance of stocks (S&P 500) vs. bonds. Junk Bond Demand: The spread between high-yield (junk) bonds and U.S. Treasury yields. Critical Adaptations for Backtesting To improve the index's utility for quantitative analysis, the following changes were made: Long-Term Normalization: The original normalization method (ta.stdev over a short LENGTH) has been replaced or adjusted to use longer historical data. This change ensures the index generates consistent and comparable sentiment scores across decades of market history, which is crucial for reliable backtesting results. Updated Data Sources: Specific ticker requests for the Put/Call Ratio and Bond components (Safe Haven and Junk Bond Demand) have been updated to use the most reliable and long-running data available on TradingView, reducing data gaps and improving chart continuity. Simplified Visuals: The chart display is streamlined, focusing only on the final Fear & Greed Index line and key threshold levels (25, 50, 75) for quick visual assessment. Integrated Trading Strategy This script also includes a simple, rules-based strategy designed to test the counter-trend philosophy of the index: Entry Logic (Long Position): A long position is initiated when the market shows increasing fear, specifically when the index score is less than or equal to the configurable FEAR_LEVEL (default 25) and the index crosses above its own short-term 5-period Simple Moving Average (SMA). This crossover acts as a confirmation that sentiment may be starting to turn around from peak fear. Exit Logic (Time-Based): All positions are subject to a time-based exit after holding for 252 trading days (approximately one year). This fixed holding period aims to capture the typical duration of a cyclical market recovery following a major panic event.
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rwanwan의
VIX Counter-Trend StrategyVIX Panic Index VOO Bottom-Fishing Strategy 📊 Strategy Overview This strategy utilizes the VIX (Volatility Index) as a market sentiment indicator to help investors rationally enter positions during periods of extreme market panic, using objective technical signals to avoid emotional decision-making. It is designed to capture rebound opportunities in VOO (or other US equity ETFs) following panic-driven selloffs. 🎯 Entry and Exit Conditions Entry Conditions (both must be met): VIX reaches or exceeds the set threshold (default 25, adjustable) VIX death crosses below its moving average (default 5-day MA), confirming panic sentiment is beginning to recede Exit Conditions (three modes available): Holding Period Mode: Exit after holding for the set number of days (default 100 days) VIX Decline Mode: Exit when VIX falls below the set threshold (default 20) Either Condition Mode: Exit when either condition is met ⚠️ Important Warnings Not Suitable for Leveraged ETF Bottom-Fishing: VIX reflects market volatility. Using leveraged ETFs (such as TQQQ, SOXL) increases risk due to decay effects and greater volatility, potentially causing larger losses during panic periods. Bear Market Inaccuracy Risk: This strategy assumes markets will rebound from panic. However, during prolonged bear markets or systemic risks (such as the 2008 financial crisis or 2022 rate hike cycle), VIX may remain elevated for extended periods, triggering multiple buy signals while prices continue declining, rendering the strategy ineffective. Recommended to Combine with Market Trend Analysis: Works better in bull market conditions. In bear markets, consider raising VIX thresholds or suspending use. For Reference Only, Not Investment Advice: Historical performance does not guarantee future results. Please use cautiously according to your personal risk tolerance. VIX 恐慌指數 VOO 抄底策略 📊 策略目的 本策略利用 VIX 恐慌指數作為市場情緒指標，幫助投資人在市場極度恐慌時理性進場抄底，並透過客觀的技術訊號避免情緒化操作。適合用於捕捉 VOO（或其他美股 ETF）在恐慌性下跌後的反彈機會。 🎯 進出場條件 進場條件（同時滿足）： VIX 指數達到設定門檻以上（預設 25，可調整） VIX 死亡交叉其均線（預設 5 日均線），確認恐慌情緒開始回落 出場條件（三種模式可選）： 持有天數模式：持有達到設定天數後出場（預設 100 天） VIX 回落模式：VIX 降至設定門檻以下時出場（預設 20） 兩者皆可模式：任一條件滿足即出場 ⚠️ 重要警語 不適合槓桿型 ETF 抄底：VIX 反映的是市場波動度，使用槓桿 ETF（如 TQQQ、SOXL）會因為衰減效應和更大波動而增加風險，可能在恐慌期間造成更大虧損。 空頭市場失準風險：本策略假設市場會從恐慌中反彈，但在長期空頭或系統性風險（如 2008 金融危機、2022 升息循環）中，VIX 可能長期處於高檔，多次觸發買入訊號卻持續下跌，導致策略失效。 建議搭配大盤趨勢判斷：在多頭格局中使用效果較佳，空頭格局建議提高 VIX 門檻或暫停使用。 僅供參考，非投資建議：歷史績效不代表未來表現，請依個人風險承受度謹慎使用。
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rwanwan의
Trendviewer_Auctheo.Trendviewer 240 is built for traders who want clearer structure and fewer false starts. It reads higher-timeframe trend strength and turns it into a simple visual map on your active chart. You get precise directional bias, dynamic stop zones that adapt to current volatility, and optional filters that help you stay aligned with momentum instead of fighting it. The script highlights areas where the trend is shifting, shows you when conditions are supportive for entries, and manages exits using a mix of adaptive levels and tiered targets. Everything is designed to keep your decision-making clean without cluttering the chart or revealing unnecessary details. If you trade with the higher timeframe in mind but want the execution on the lower timeframe to feel controlled and confident, this tool will fit right in. Please for free to contact us @theauctiontheorist@gmail.com
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theauctiontheorist의
Mir Khans QQQThis strategy is built around how I actually trade QQQ intraday: Opening-Range continuation, VWAP trend reads, OI magnets, and a simple but strict risk framework. It’s designed to keep you on the right side of the session theme (trend vs fade), then only take trades when multiple pieces of confluence line up. The strategy is tuned for QQQ on intraday timeframes, but the logic is generic enough to experiment with other liquid index products. It’s not financial advice—use it as a structured framework for reading OR, VWAP, and trend strength, and then layer your own execution rules and risk management on top.
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miralikhan10의
Macketings 1min ScalpingThis is a hyper-reactive scalping strategy designed for the 1-minute chart. It utilizes a strict four-EMA hierarchy (80/90/340/500) to ensure trades are only taken in the strongest aligned market trend. The strategy is built to be extremely tight on risk and focuses on capturing the immediate, high-momentum swing that follows a confirmed EMA retest or breakout. Key Mechanics (How it Works): Strict Trend Alignment: Entry is only permitted when the faster EMA band (80/90) and the price action are correctly aligned with the slow trend (340/500). Long: EMA 80/90 must be above EMA 340/500, AND EMA 340 must be above EMA 500. (And vice-versa for Short.) Expanded Retest Entry: The strategy waits for the price to retest or briefly enter the 80/90 band, then immediately enters upon the confirmed momentum breakout from that band. Dynamic Risk Management (Tight Ride): The strategy is engineered to ride the wave aggressively while protecting capital immediately: Extremely Tight Initial Stop Loss (0.2% default): Limits initial risk instantly. Break-Even Security: Once profit hits 0.3%, the Stop Loss is automatically trailed to secure 0.2% profit (a risk-free trade). Aggressive Exit Logic: Positions are closed not only upon hitting the Take Profit target (2.5%) but also immediately if the 80/90 EMA band crosses the 340 EMA, signaling a critical loss of momentum. Disclaimer: This strategy requires high-liquidity instruments and is best used on low timeframes (1-minute) due to its dependency on fast momentum shifts and tight stops. Backtesting and forward testing are crucial before deployment.
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Macketing1337의
Intraday Market Structure Research Tool (Reversal + Breakout)This script is a fully rule-based intraday strategy designed for research and backtesting purposes, not financial advice. It is intended to help traders study market behavior, time-based price patterns, and statistical trade outcomes under realistic trading assumptions. What the Strategy Does This strategy operates in two selectable trade modes: 1. Reversal Mode Identifies statistically large candles relative to recent volatility Enters counter-direction trades when price shows exhaustion behavior Designed to study fade-type behavior around session extremes 2. Breakout Mode Tracks recent swing highs/lows over a user-defined lookback Executes trades only after confirmed price expansion beyond these levels Designed to test momentum continuation behavior Time & Session Filtering Trades are only taken during user-defined market sessions, including: New York 1 New York 2 London Asia This allows users to analyze performance differences between global trading sessions. 9:30 AM Opening Range Logic The script captures the 9:30 AM (Eastern) one-minute candle high/low and uses that as an Opening Range: Breakout trades can be confirmed above or below this range The range is visualized for clarity Risk Management & Realism Controls This script includes realistic execution mechanics: Fixed stop-loss and take-profit defined by the user (points or ticks) Built-in slippage modeling Commission assumptions included Position sizing designed to keep risk per trade under 5–10% of account equity when used with realistic account sizes Users are responsible for choosing realistic account sizes and risk values when running backtests. Statistical Performance Tracking The strategy records and displays performance data including: Win rate Average win and loss Maximum drawdown per trade series Expectancy Trade distribution by: Time of day Session Market classification This allows users to study market tendencies and structural behavior over large sample sizes. Visual Tools The script displays: Entry and exit markers Blocked trade labels (when conditions are not met) Opening range box Breakout levels Use Case Disclaimer This script is designed for: Backtesting Market structure research Statistical study It is not guaranteed to be profitable, and results depend heavily on user-selected settings, market conditions, and realistic brokerage assumptions.
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mickey1984의
Mirror Blocks: StrategyMirror Blocks is an educational structural-wave model built around a unique concept: the interaction of mirrored weighted moving averages (“blocks”) that reflect shifts in market structure as price transitions between layered symmetry zones. Rather than attempting to “predict” markets, the Mirror Blocks framework visualizes how price behaves when it expands away from, contracts toward, or flips across stacked WMA structures. These mirrored layers form a wave-like block system that highlights transitional zones in a clean, mechanical way. This strategy version allows you to study how these structural transitions behave in different environments and on different timeframes. The goal is understanding wave structure, not generating signals. How It Works Mirror Blocks builds three mirrored layers: Top Block (Structural High Symmetry) Base Block (Neutral Wave) Bottom Block (Structural Low Symmetry) The relative position of these blocks — and how price interacts with them — helps visualize: Compression and expansion Reversal zones Wave stability Momentum transitions Structure flips A structure is considered bullish-stack aligned when: Top > Base > Bottom and bearish-stack aligned when: Bottom > Base > Top These formations create the core of the Mirror Blocks wave engine. What the Strategy Version Adds This version includes: Long Only, Short Only, or Long & Short modes Adjustable symmetry distance (Mirror Distance) Configurable WMA smoothing length Optional trend filter using fast/slow MA comparison ENTER / EXIT / LONG / SHORT labels for structural transitions Fixed stop-loss controls for research A clean, transparent structure with no hidden components It is optimized for educational chart study, not automated signals. Intended Purpose Mirror Blocks is meant to help traders: Study structural transitions Understand symmetry-based wave models Explore how price interacts with mirrored layers Examine reversals and expansions from a mechanical perspective Conduct long and short backtesting for research Develop a deeper sense of market rhythm This is not a prediction model. It is a visual and structural framework for understanding movement. Backtesting Disclaimer Backtest results can vary depending on: Slippage settings Commission settings Timeframe Asset volatility Structural sensitivity parameters Past performance does not guarantee future results. Use this as a research tool only. Warnings & Compliance This script is educational. It is not financial advice. It does not provide signals. It does not promise profitability. The purpose is to help visualize structure, not predict price. The strategy features are simply here to help users study how structural transitions behave under various conditions. License Released under the Michael Culpepper Gratitude License (2025). Use and modify freely for education and research with attribution. No resale. No promises of profitability. Purpose is understanding, not signals.
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mikeyc747의
Hash Momentum Strategy# Hash Momentum Strategy ## 📊 Overview The **Hash Momentum Strategy** is a professional-grade momentum trading system designed to capture strong directional price movements with precision timing and intelligent risk management. Unlike traditional EMA crossover strategies, this system uses momentum acceleration as its primary signal, resulting in earlier entries and better risk-to-reward ratios. --- ## ⚡ What Makes This Strategy Unique ### 1. Momentum-Based Entry System Most strategies rely on lagging indicators like moving average crossovers. This strategy captures momentum *acceleration* - entering when price movement is gaining strength, not after the move has already happened. ### 2. Programmable Risk-to-Reward Set your exact R:R ratio (1:2, 1:2.5, 1:3, etc.) and the strategy automatically calculates stop loss and take profit levels. No more guessing or manual calculations. ### 3. Smart Partial Profit Taking Lock in profits at multiple stages: - **First TP**: Take 50% off at 2R - **Second TP**: Take 40% off at 2.5R - **Final TP**: Let 10% ride to maximum target This approach locks in gains while letting winners run. ### 4. Dynamic Momentum Threshold Uses ATR (Average True Range) multiplied by your threshold setting to adapt to market volatility. Volatile markets = higher threshold. Quiet markets = lower threshold. ### 5. Trade Cooldown System Prevents overtrading and revenge trading by enforcing a cooldown period between trades. Configurable from 1-24 bars. ### 6. Optional Session & Weekend Filters Filter trades by Tokyo, London, and New York sessions. Optional weekend-off toggle to avoid low-liquidity periods. --- ## 🎯 How It Works ### Signal Generation **STEP 1: Calculate Momentum** - Momentum = Current Price - Price - Check if Momentum > ATR × Threshold Multiplier - Momentum must be accelerating (positive change in momentum) **STEP 2: Confirm with EMA Trend Filter** - Long: Price must be above EMA - Short: Price must be below EMA **STEP 3: Check Filters** - Not in cooldown period - Valid session (if enabled) - Not weekend (if enabled) **STEP 4: ENTRY SIGNAL TRIGGERED** ### Risk Management Example **Example Long Trade:** - Entry: $100 - Stop Loss: $97.80 (2.2% risk) - Risk Amount: $2.20 **Take Profit Levels:** - TP1: $104.40 (2R = $4.40) → Close 50% - TP2: $105.50 (2.5R = $5.50) → Close 40% - Final: $105.50 (2.5R) → Close remaining 10% --- ## ⚙️ Settings Guide ### Core Strategy **Momentum Length** (Default: 13) Number of bars for momentum calculation. Higher = stronger but fewer signals. **Momentum Threshold** (Default: 2.25) ATR multiplier. Higher = only trade biggest moves. **Use EMA Trend Filter** (Default: ON) Only long above EMA, short below EMA. **EMA Length** (Default: 28) Period for trend-confirming EMA. ### Filters **Use Trading Session Filter** (Default: OFF) Restrict trading to specific sessions. **Tokyo Session** (Default: OFF) Trade during Asian hours (00:00-09:00 JST). **London Session** (Default: OFF) Trade during European hours (08:00-17:00 GMT). **New York Session** (Default: OFF) Trade during US hours (08:00-17:00 EST). **Weekend Off** (Default: OFF) Disable trading on Saturdays and Sundays. ### Risk Management **Stop Loss %** (Default: 2.2) Fixed percentage stop loss from entry. **Risk:Reward Ratio** (Default: 2.5) Your target reward as multiple of risk. **Use Partial Profit Taking** (Default: ON) Take profits in stages. **First TP R:R** (Default: 2.0) First target as multiple of risk. **First TP Size %** (Default: 50) Percentage of position to close at TP1. **Second TP R:R** (Default: 2.5) Second target as multiple of risk. **Second TP Size %** (Default: 40) Percentage of position to close at TP2. ### Trade Management **Use Trade Cooldown** (Default: ON) Prevent overtrading. **Cooldown Bars** (Default: 6) Bars to wait after closing a trade. --- ## 🎨 Visual Elements ### Chart Indicators 🟢 **Green Dot** (below bar) = Long entry signal 🔴 **Red Dot** (above bar) = Short entry signal 🔵 **Blue X** (above bar) = Long position closed 🟠 **Orange X** (below bar) = Short position closed **EMA Line** = Trend direction (green when bullish, red when bearish) **White Line** = Entry price **Red Line** = Stop loss level **Green Lines** = Take profit levels (TP1, TP2, Final) ### Dashboard When not in real-time mode, a dashboard displays: - Current position (LONG/SHORT/FLAT) - Entry price - Stop loss price - Take profit price - R:R ratio - Current momentum strength - Total trades - Win rate - Net profit % --- ## 📈 Recommended Settings by Timeframe ### 1-Hour Timeframe (Default) - Momentum Length: 13 - Momentum Threshold: 2.25 - EMA Length: 28 - Stop Loss: 2.2% - R:R Ratio: 2.5 - Cooldown: 6 bars ### 4-Hour Timeframe - Momentum Length: 24-36 - Momentum Threshold: 2.5 - EMA Length: 50 - Stop Loss: 3-4% - R:R Ratio: 2.0-2.5 - Cooldown: 6-8 bars ### 15-Minute Timeframe - Momentum Length: 8-10 - Momentum Threshold: 2.0 - EMA Length: 20 - Stop Loss: 1.5-2% - R:R Ratio: 2.0 - Cooldown: 4-6 bars --- ## 🔧 Optimization Tips ### Want More Trades? - Decrease Momentum Threshold (2.0 instead of 2.25) - Decrease Momentum Length (10 instead of 13) - Decrease Cooldown Bars (4 instead of 6) ### Want Higher Quality Trades? - Increase Momentum Threshold (2.5-3.0) - Increase Momentum Length (18-24) - Increase Cooldown Bars (8-10) ### Want Lower Drawdown? - Increase Cooldown Bars - Use tighter stop loss - Enable session filters (trade only high-liquidity sessions) - Enable Weekend Off ### Want Higher Win Rate? - Increase R:R Ratio (may reduce total profit) - Increase Momentum Threshold (fewer but stronger signals) - Use longer EMA for trend confirmation --- ## 📊 Performance Expectations Based on typical backtesting results: - **Win Rate**: 35-45% - **Profit Factor**: 1.5-2.0 - **Risk:Reward**: 1:2.5 (configurable) - **Max Drawdown**: 10-20% - **Trades/Month**: 8-15 (1H timeframe) **Note:** Win rate may appear low, but with 2.5:1 R:R, you only need ~29% win rate to break even. The strategy aims for quality over quantity. --- ## 🎓 Strategy Logic Explained ### Why Momentum > EMA Crossover? **EMA Crossover Problems:** - Signals lag behind price - Late entries = poor R:R - Many false signals in ranging markets **Momentum Advantages:** - Catches moves as they start accelerating - Earlier entries = better R:R - Adapts to volatility via ATR ### Why Partial Profit Taking? **Without Partial TPs:** - All-or-nothing approach - Winners often turn to losers - High stress watching open positions **With Partial TPs:** - Lock in 50% at first target - Reduce risk to breakeven - Let remainder ride for bigger gains - Lower psychological pressure ### Why Trade Cooldown? **Without Cooldown:** - Revenge trading after losses - Overtrading in choppy markets - Emotional decision-making **With Cooldown:** - Forces discipline - Waits for new setup to develop - Reduces transaction costs - Better signal quality --- ## ⚠️ Important Notes 1. **This is a momentum strategy, not an EMA strategy** The EMA only confirms trend direction. Momentum generates the actual signals. 2. **Backtest thoroughly before live trading** Past performance ≠ future results. Test on your specific asset and timeframe. 3. **Use proper position sizing** Risk 1-2% of account per trade maximum. The strategy uses 100% equity by default (adjust in Properties). 4. **Dashboard auto-hides in real-time** Clean chart for live trading. Visible during backtesting. 5. **Customize for your trading style** All settings are fully adjustable. No single "best" configuration. --- ## 🚀 Quick Start Guide 1. **Add to Chart**: Apply to your preferred asset and timeframe 2. **Keep Defaults**: Start with default settings 3. **Backtest**: Review historical performance 4. **Paper Trade**: Test with simulated money first 5. **Go Live**: Start small and scale up --- ## 💡 Pro Tips **Tip 1: Combine Timeframes** Use higher timeframe (4H) for trend direction, lower timeframe (1H) for entries. **Tip 2: Avoid News Events** Major news can cause whipsaws. Consider manual intervention during high-impact events. **Tip 3: Monitor Momentum Strength** Dashboard shows momentum in sigma (σ). Values >1.0σ indicate very strong momentum. **Tip 4: Adjust for Volatility** In high-volatility markets, increase threshold and stop loss. In quiet markets, decrease them. **Tip 5: Review Losing Trades** Check if losses are hitting stop loss or reversing. Adjust stop accordingly. --- ## 📝 Changelog **v1.0** - Initial Release - Momentum-based signal generation - EMA trend filter - Programmable R:R ratio - Partial profit taking (3 stages) - Trade cooldown system - Session filters (Tokyo/London/New York) - Weekend off toggle - Smart dashboard (auto-hides in real-time) - Clean visual design --- ## 🙏 Credits Developed by **Hash Capital Research** If you find this strategy useful, please give it a like and share with others! --- ## ⚖️ Disclaimer This strategy is for educational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before trading. --- ## 📬 Feedback Have suggestions or found a bug? Leave a comment below! I'm continuously improving this strategy based on community feedback. --- **Happy Trading! 🚀📈**
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Hash_Capital의
Semi-Martingala Sicura 1.20x PROIncrements or a maximum amount of 200. If the previous trade is profitable, the count is reset and the initial amount is resumed. Exit management uses fixed percentage stop loss and take profit, set relative to the entry price. In summary, this strategy aims to capitalize on trend and momentum signals, using a semi-martingale system to increase positions in case of losses, but with precise limits to contain risk. Note: This method aims to be "safer" than a classic martingale, respecting increment limits and a maximum amount. Comment by saying what you think and what I could change.
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Peppe2312의
ATR 雙重保險加碼策略 (ATR減碼 + EMA清倉) (三寶爸黃金版)黃金雙保險戰法 (兩口單策略) 核心概念： 進場買兩口。一口賺了就跑(保本)，一口死抱到底(拚大賺)。 1. 進場 (買 2 口)： 只要價格站上黃線，而且突破前高。 別猶豫，直接買 2 口。 2. 減碼 (賣 1 口)： 價格回檔碰到綠線。 代表短線轉弱，先賣掉 1 口。 好處： 錢先放口袋，心裡踏實。 3. 加碼 (買回 1 口)： 如果你手上只剩 1 口，結果行情沒死，又創新高。 代表剛才賣錯了，趕快買回 1 口 (補回滿倉)。 好處： 繼續跟著趨勢賺錢。 4. 清倉 (全跑)： 價格跌破黃線。 代表趨勢真的結束了，不管剩幾口，全部賣掉。 一句話總結： 「震盪時先賣一半保命，趨勢噴出時永遠滿倉在車上。」 Gold Dual-Insurance Tactic (2-Lot System) Core Concept: Enter with 2 lots. Sell one early to lock in profits (Play Safe), and hold the other to catch the big wave (Go Big). 1. Entry (Buy 2 Lots): When price is above the Yellow Line AND breaks the previous High. Don't hesitate. Buy 2 lots immediately. 2. Scale Out (Sell 1 Lot): When price pulls back and hits the Green Line. This means short-term weakness. Sell 1 lot. Benefit: Put money in your pocket. Peace of mind. 3. Add Position (Buy Back 1 Lot): If you have only 1 lot left, but the market hits a New High. It means the trend is alive. Quickly Buy back 1 lot (refill to full position). Benefit: Continue maximizing profits with the trend. 4. Clear All (Exit Everything): When price falls below the Yellow Line. The trend is officially over. Sell everything, no matter what.
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isekai_3kids_daddy의
2
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 //═══════════════════════════════════════════════════════════════════════
Pine Script™ 전략
jettrader45의