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Complete 37 Forex Instruments Pretrained ResNet Transfer Learning for Price Movement Classification (Keras-Tensorflow)

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Forex_TL_ResNet

Complete 37 Forex Instruments Pretrained ResNet Transfer Learning for Price Movement Classification

What is this repo?

  • 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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