- This repo try to predict 60s horizon price movements from features derived from 600s close price window.
- The price movement is categorized from 0 - 10 levels. Each category describes the level of movement from maximum down to maximum up.
- You can use this repo to automatically extract features to be used for robust classifier like XGBoost or another NN model
- This model trained on 37 instruments, each instruments consist 7_000_000 seconds of close price
- Using ResNet model adapted to time-series data
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Complete 37 Forex Instruments Pretrained ResNet Transfer Learning for Price Movement Classification (Keras-Tensorflow)
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putraxor/Forex_TL_ResNet
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Complete 37 Forex Instruments Pretrained ResNet Transfer Learning for Price Movement Classification (Keras-Tensorflow)
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