### 🚀 Strategy Overview

The **Alpha Retracement Bot** is a high-precision, trend-following quantitative cBot engineered specifically for indices (US500 / S&P 500). It identifies macro bullish regimes and enters high-probability pullback trades when short-term price action becomes temporarily oversold.

Designed for capital preservation and consistency, the bot features a proven **1.63% maximum drawdown** profile over multi-year backtesting.

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### 📈 Entry Logic & Execution

- **Macro Trend Filter**: Evaluates the 200-period Exponential Moving Average (EMA). Long trades are strictly filtered to execute only above this macro baseline.

- **Retracement Trigger**: Monitors short-term momentum using RSI(14). Entries trigger when RSI recovers out of oversold territory (< 30), catching momentum bounces at structural dip levels.

- **Bar-Close Execution**: Evaluated on bar completion (`OnBar`) to eliminate intra-bar noise and repainting.

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### 🛡️ Risk & Capital Management

- **Flexible Stop Loss Systems**: Choose between dynamic **ATR-based stops** (adapts to market volatility) or fixed **Percentage-based stops**.

- **Fixed Risk/Reward Ratio**: Built-in 2.0x R:R target system ensuring winning trades significantly outweigh losses.

- **Directional Bias**: Long-only design tailored to capture long-term equity index upward drift while completely shielding capital from dangerous short squeeze events.

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### ⚙️ Key Parameters

- `Trend EMA Length`: 200 (Macro trend filter)

- `RSI Oversold Level`: 30 (Pullback sensitivity)

- `Stop Loss Type`: ATR or Percentage

- `Risk/Reward Ratio`: 2.0

- `Volume to Trade`: Customizable units/lots

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### 👤 Who Is This cBot For?

- **Account Sizes**: Suitable for both small (€500+) and prop firm / institutional-sized accounts due to its ultra-low drawdown.

- **Trader Profile**: Conservative traders seeking steady equity growth without massive portfolio swings or high-frequency overtrading.

- **Experience Level**: Beginner friendly — plug-and-play defaults out of the box with optional custom tuning.

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### 📌 Important Usage Notes

- Recommended Timeframe: **1H** (or 15M for higher frequency).

- Recommended Market: **US500 / US500Index / SPX500**.

- Fully compatible with Backtesting, Forward Testing, and Live Execution.