#AIImpactOnForex Long-Short Term Memory (LSTM) networks are a type of recurrent neural network (RNN) used in currency forecasting to model time-series data, such as historical currency price movements. LSTMs are particularly effective in capturing long-term dependencies and patterns in data, making them ideal for forecasting currency trends. Unlike traditional models, LSTMs can retain information from past data over long periods, which is crucial in volatile markets where trends may span weeks, months, or even years. In currency forecasting, LSTMs can predict future price movements by learning from complex, non-linear relationships in the historical data, helping traders and financial institutions make more accurate predictions about exchange rate fluctuations and market behavior.