2025-08-13 20:44
In der IndustrieAI Model: Train an LSTM neural network to identify
AI Model: Train an LSTM neural network to identify trend continuation signals on the 4-hour chart. Input parameters: RSI divergence + Bollinger Band width + order flow imbalance. When model confidence exceeds 75%, follow orders in the direction of the 20-day moving average. Backtesting in 2023 showed an 81% success rate for EUR/USD signals, with an average holding period of 18 hours. Be wary of overfitting in live trading—add a volatility filter (disable if ATR is below 80% of the mean).#SharingTradingMistakesAndGrowth#BrokerEvaluation#BrokerEvaluation
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AI Model: Train an LSTM neural network to identify
Thailand | 2025-08-13 20:44AI Model: Train an LSTM neural network to identify trend continuation signals on the 4-hour chart. Input parameters: RSI divergence + Bollinger Band width + order flow imbalance. When model confidence exceeds 75%, follow orders in the direction of the 20-day moving average. Backtesting in 2023 showed an 81% success rate for EUR/USD signals, with an average holding period of 18 hours. Be wary of overfitting in live trading—add a volatility filter (disable if ATR is below 80% of the mean).#SharingTradingMistakesAndGrowth#BrokerEvaluation#BrokerEvaluation
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