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