#AITradingAffectsForex Algorithmic bias in Forex trading refers to the phenomenon where trading algorithms make decisions based on flawed or incomplete data, leading to unfair or discriminatory outcomes. This can result in: - Inaccurate market predictions: Biased algorithms can misinterpret market data, leading to incorrect predictions and poor trading decisions. - Unequal trade execution: Biased algorithms can prioritize trades from certain traders or brokers over others, leading to unequal access to markets. - Systemic risk: Widespread use of biased algorithms can amplify market volatility and increase systemic risk. To mitigate algorithmic bias, Forex traders and brokers must: - Use diverse data sources: Incorporate multiple data sources to reduce reliance on any one dataset. - Regularly audit algorithms: Monitor and test algorithms for bias and errors. - Implement fairness metrics: Develop and use metrics to measure algorithmic fairness and accuracy.