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2025-04-30 00:59
IndustryTypical Hyperparameters in Forex AI Models
#CurrencyPairPrediction
Typical Hyperparameters in Forex AI Models
Model Type Important Hyperparameters Neural Networks (LSTM, CNN) Learning rate, hidden size, number of layers, dropout, optimizer type (Adam, RMSProp) Tree-Based Models (XGBoost, LightGBM) Learning rate, number of trees, max depth, subsample ratio, column sampling ratio SVMs Kernel type, C (regularization strength), gamma (kernel coefficient) ARIMA, Time Series Models p, d, q orders, seasonal orders Reinforcement Learning Agents Discount factor, exploration rate, batch size
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Typical Hyperparameters in Forex AI Models
#CurrencyPairPrediction
Typical Hyperparameters in Forex AI Models
Model Type Important Hyperparameters Neural Networks (LSTM, CNN) Learning rate, hidden size, number of layers, dropout, optimizer type (Adam, RMSProp) Tree-Based Models (XGBoost, LightGBM) Learning rate, number of trees, max depth, subsample ratio, column sampling ratio SVMs Kernel type, C (regularization strength), gamma (kernel coefficient) ARIMA, Time Series Models p, d, q orders, seasonal orders Reinforcement Learning Agents Discount factor, exploration rate, batch size
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