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Hello, I'm planning a backtesting project in Python (trading strategy with technical logic, e.g., RSI signals and candlestick patterns). Before I send you an official offer, I'd like to briefly discuss the details with you—timeframe, scope, budget, and implementation options. I'd be happy if you're generally interested and we can chat briefly.
Strategy Description: -The strategy is based on a multi-stage time analysis: -15-minute chart: Identification of a more complex candlestick formation in combination with market structure and order blocks -1-minute chart: Entry into long or short positions based on the RSI indicator for fine-tuning -In addition, a trend indicator is used as overarching confirmation for entries and exits Project Goals: -Implementation of the entire logic in a robust Python script (e.g., with Pandas, Backtrader, or similar libraries) -Historical backtesting based on EUR/USD data in the 1- and 15-m timeframes -Option to adjust RSI values, trend indicator, and SL/TP rules -Performance evaluation (win rate, max drawdown, Sharpe ratio, etc.) -Output of trades as CSV + visualization (equity curve, etc.) Scope of delivery: -Complete Python code with comments -Backtest reports and graphical Evaluation - support with integration of historical data (if necessary
Strategy Description: -The strategy is based on a multi-stage time analysis: -15-minute chart: Identification of a more complex candlestick formation in combination with market structure and order blocks -1-minute chart: Entry into long or short positions based on the RSI indicator for fine-tuning -In addition, a trend indicator is used as overarching confirmation for entries and exits Project Goals: -Implementation of the entire logic in a robust Python script (e.g., with Pandas, Backtrader, or similar libraries) -Historical backtesting based on EUR/USD data in the 1- and 15-m timeframes -Option to adjust RSI values, trend indicator, and SL/TP rules -Performance evaluation (win rate, max drawdown, Sharpe ratio, etc.) -Output of trades as CSV + visualization (equity curve, etc.) Scope of delivery: -Complete Python code with comments -Backtest reports and graphical Evaluation - support with integration of historical data (if necessary
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