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Project for time series forecasting with machine learning.

Cleaned dataset changes:

  • zeros filled with previous prices for price dfs
  • duplicate entries removed(all previous prices = current prices)

Features:

  • Previous buy prices up to stepsBack
  • Current buy quantity
  • Current capital flow (cf = currentPrice * currentQuantity)

Layers:

  • encoder(2 LSTM)
  • decoder(2 LSTM)(teacher forcing)
  • timeDistributed(Dense)

Loss:

  • Huber
  • mse
  • custom for multiple outputs

Credits to chriskok for the original data and basic framework for this code. https://github.com/chriskok/GEPrediction-OSRS

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