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  • Quant Coder
    Translating market insights into trading algorithms.
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    5.0
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    Released 2y ago
    100% Free
    Quant Coder website
  • QuantGenie AI
    AI-powered trading script creation
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    1.0
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    Released 2y ago
    100% Free
    QuantGenie AI website
  • Lorentzian Python
    Python implementation guide for TradingView's Lorentzian Classification indicator.
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    5.0
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    Released 1y ago
    100% Free
    Lorentzian Python website
  • Quantitative Trading Strategist
    Long-Term Profit Strategy Guide
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    3.0
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    Released 2y ago
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    Quantitative Trading Strategist website
  • Quotex
    AI-powered trading advisor for Quotex markets
    Open
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    3.1
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    Released 6mo ago
    100% Free
    ## 1-Minute Trading Strategy for EUR/USD using Quotex OTC Market Indicators ### Overview This strategy combines multiple technical indicators and price action analysis to generate high-accuracy buy and sell signals for the EUR/USD 1-minute candlestick chart on the Quotex OTC market. ### Indicators Used - **Moving Averages**: EMA 5, EMA 10, EMA 50 for trend confirmation. - **Relative Strength Index (RSI)**: 14 periods to identify overbought and oversold conditions. - **MACD**: (12, 26, 9) for momentum and trend strength. - **Bollinger Bands**: (20, 2) to detect volatility and breakout points. - **Stochastic Oscillator**: (14, 3, 3) for precise entry points during reversals. - **Support & Resistance Levels**: Identified from recent price action. ### Signal Criteria #### BUY Signal 1. **Price crosses above EMA 5 and EMA 10**, while **EMA 5 is above EMA 10 and EMA 50**. 2. **RSI below 30 and moving upwards**. 3. **MACD histogram turns green**, and lines cross bullishly. 4. **Stochastic lines cross upwards from oversold (below 20)**. 5. **Price touches the lower Bollinger Band and bounces back**. #### SELL Signal 1. **Price crosses below EMA 5 and EMA 10**, while **EMA 5 is below EMA 10 and EMA 50**. 2. **RSI above 70 and moving downwards**. 3. **MACD histogram turns red**, and lines cross bearishly. 4. **Stochastic lines cross downwards from overbought (above 80)**. 5. **Price touches the upper Bollinger Band and reverses**. ### Strategy Application #### Entry Point - **BUY**: Enter at the open of the next candle after all BUY conditions are met. - **SELL**: Enter at the open of the next candle after all SELL conditions are met. #### Take Profit (TP) - **BUY**: Nearest resistance level or 5-10 pips, whichever is closer. - **SELL**: Nearest support level or 5-10 pips, whichever is closer. #### Stop Loss (SL) - Set SL at 2x the average candle body size from the entry price. - For BUY, SL can also be set just below the recent swing low. - For SELL, SL can also be set just above the recent swing high. #### Win Probability - **High Confidence (>80%)**: All indicators align. - **Medium Confidence (50-80%)**: Most indicators align. - **Low Confidence (<50%)**: Few indicators align. ### Example Analysis **Current EUR/USD Chart Analysis**: - **Time Frame**: 1-minute - **Price**: 1.1000 - **EMA 5**: 1.0995 - **EMA 10**: 1.0990 - **EMA 50**: 1.0980 - **RSI**: 29 - **MACD**: Histogram green, lines crossing bullishly - **Stochastic**: Oversold, lines crossing upwards - **Bollinger Bands**: Price just touched the lower band and bouncing back **Signal**: BUY - **Entry Point**: 1.1000 - **Take Profit**: 1.1010 (nearest resistance) - **Stop Loss**: 1.0990 (2x average candle body size below entry) - **Win Probability**: 85% (high confidence) ### Conclusion This strategy aims to filter out false signals by requiring alignment across multiple indicators and adapting to market volatility through dynamic stop loss and take profit levels. Traders should remain vigilant and adjust parameters as needed to suit changing market conditions.
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