#AITradingAffectsForex Forex Trading and Yield Forecasting with Neural Networks refers to the use of artificial neural networks (ANNs) to predict foreign exchange (Forex) market trends and asset yields. Here's a summary of key points: 1. Forex Trading: It involves buying and selling currencies in a global decentralized market, with participants ranging from individual traders to central banks and corporations. Forex trading is heavily influenced by macroeconomic indicators, political events, and market sentiment. 2. Challenges in Forex Prediction: Forex markets are highly volatile, and predicting currency price movements is difficult due to the non-linear and complex nature of the data. Traditional statistical models often fail to capture these complexities effectively. 3. Neural Networks in Forecasting: ANNs are used in yield forecasting because they can model complex relationships between variables without explicitly programming the rules. They learn patterns from historical data, such as past exchange rates, interest rates, and economic indicators. 4. Types of Neural Networks Used: Common neural network architectures used in Forex trading include: Feedforward Neural Networks (FNNs): These are basic neural networks where information moves in one direction from input to output. Recurrent Neural Networks (RNNs): Useful for sequential data, as they consider past