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trading-strategies

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Retrieve real-time cryptocurrency data, and execute trading strategies. The code is written in Python and provides customizable options for trading strategies and risk management. Please note that it is important to understand the risks involved in cryptocurrency trading and to exercise caution when using automated trading bots.

  • Updated Jun 3, 2023
  • Python

This repository focuses on optimizing a trend-based trading strategy for the EURUSD currency pair. By combining PSO and GA, the goal is to maximize returns while minimizing risk. The strategy considers buy and sell signals based on Supertrend and EMA conditions, with a fixed commission of 3 pips per trade.

  • Updated Feb 18, 2024
  • Jupyter Notebook

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