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  • Quant Coder
    Translating market insights into trading algorithms.
    Open
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    5.0
    460
    Released 1y ago
    100% Free
    Quant Coder website
  • QuantGenie AI
    AI-powered trading script creation
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    1.0
    1,000
    Released 1y ago
    100% Free
    QuantGenie AI website
  • Lorentzian Python
    Python implementation guide for TradingView's Lorentzian Classification indicator.
    Open
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    27
    5.0
    26
    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 1y ago
    100% Free
    Quantitative Trading Strategist website
  • Quotex
    AI-powered trading advisor for Quotex markets
    Open
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    3.1
    3,197
    Released 6mo ago
    100% Free
    **Quotex OTC 1-Minute Candlestick Strategy** ### Overview This strategy combines multiple technical indicators and price action analysis to generate high-accuracy buy and sell signals for the Quotex OTC market. The goal is to filter out false signals and adapt to market volatility. ### Indicators Used * **Moving Averages**: EMA5, EMA10, and EMA50 for trend confirmation * **Relative Strength Index (RSI)**: Set to 14 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 more precise entry points during reversals * **Support & Resistance Levels**: Identify key zones from recent price action ### Signal Criteria #### BUY Signal 1. **Price crosses above EMA5 and EMA10**, while EMA5 is above EMA10 and EMA50. 2. **RSI below 30**, moving upwards. 3. **MACD histogram turns green**, and lines cross bullishly. 4. **Stochastic lines cross upwards** from oversold (below 20). 5. **Price touches lower Bollinger Band** and bounces back. #### SELL Signal 1. **Price crosses below EMA5 and EMA10**, while EMA5 is below EMA10 and EMA50. 2. **RSI above 70**, moving downwards. 3. **MACD histogram turns red**, and lines cross bearishly. 4. **Stochastic lines cross downwards** from overbought (above 80). 5. **Price touches upper Bollinger Band** and reverses. ### Output Format * **Entry Point**: Exact moment to enter the trade * **Take Profit (TP)**: Based on nearest support/resistance and trend strength * **Stop Loss (SL)**: 2x the average candle body size or below last swing low/high * **Win Probability**: Include a confidence percentage based on indicator alignment ### Strategy Explanation This strategy uses a combination of trend confirmation, momentum, and volatility indicators to generate buy and sell signals. The EMA5, EMA10, and EMA50 provide trend confirmation, while the RSI, MACD, and Stochastic Oscillator identify overbought and oversold conditions. The Bollinger Bands detect volatility and breakout points. To adjust for sudden market volatility: 1. **Monitor EMA5 and EMA10**: If the price moves rapidly away from these EMAs, it may indicate increased volatility. Adjust the stop loss to 2.5x or 3x the average candle body size. 2. **Widen Stop Loss**: If the market is experiencing high volatility, consider widening the stop loss to 3x or 4x the average candle body size. 3. **Reduce Position Size**: If the market is highly volatile, consider reducing the position size to minimize potential losses. ### Example Trade **BUY Signal** * Entry Point: 10:05:00 (1-minute candlestick) * Price: 1.2000 * EMA5: 1.1990 * EMA10: 1.1980 * EMA50: 1.1950 * RSI: 28.5 (moving upwards) * MACD: Histogram turns green, lines cross bullishly * Stochastic: Lines cross upwards from oversold (below 20) * Bollinger Bands: Price touches lower band and bounces back **Trade Details** * Take Profit (TP): 1.2050 (nearest resistance level) * Stop Loss (SL): 1.1970 (2x average candle body size) * Win Probability: 80% (based on indicator alignment) ### Conclusion This strategy provides a comprehensive approach to trading the Quotex OTC market, combining multiple technical indicators and price action analysis to generate high-accuracy buy and sell signals. By adjusting for sudden market volatility and using proper risk management techniques, traders can increase their chances of success in this market.
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