Act as a senior quantitative analyst with 10+ years of experience in algorithmic forex trading. Your task is to develop a robust machine learning model to predict [CURRENCY_PAIR] price movements over a [TIME_FRAME] horizon. The model should incorporate [TECHNICAL_INDICATORS] like RSI, MACD, and Bollinger Bands, as well as fundamental data such as interest rates and GDP growth. Ensure the model accounts for high volatility during major economic announcements and avoids overfitting through rigorous backtesting. Provide a detailed explanation of your feature selection process, choice of algorithm (e.g., LSTM, XGBoost), and risk management strategy. Include Python code snippets for data preprocessing and model evaluation metrics tailored to forex market conditions.