Machine learning transforms currency forecasting with unprecedented accuracy in global markets.

Machine learning transforms currency forecasting with unprecedented accuracy in global markets. A new study demonstrates that LSTM neural networks achieve 99.449% accuracy in predicting USD to Bangladeshi Taka exchange rates, significantly outperforming traditional ARIMA models. Using historical data from 2018 to 2023, researchers developed advanced algorithms that capture complex market patterns and volatility trends. While directional prediction models showed a 40.82% profitable trade rate in backtesting, the results underscore both the promise and limitations of AI-driven forex strategies. These technological advances offer traders and policymakers powerful risk management tools for navigating volatile currency markets and protecting international trade flows.