DaijyobuMondainai/ImundboQuant

Machine learning in Python for stock market and forex market predictions (fully functional)

ImundboQuant

OPEN-SOURCE PROJECT | Machine learning in Python and MQL4 for stock market and forex market predictions and fully automated trading.

by Mikael Furesjö

Main project links

• Get involved @Slack
• Public Project page @Github
• Private repository @Dropbox

More information

• Email: mailto:mikael[att]furesjo.se)
• Skype: mikaelfuresjo1
• Homepage
• [ZuluTrade Account)[https://www.zulutrade.com/trader/354968/trading]
• Facebook group
• Youtube Channel
• Twitter

Get all data

• USE DropBox link (above) to download Forex End-Of-Day (EOD) data.
• USE DropBox link (above) to download Forex End-Of-Day (EOD) data with preprocessed matrices in Excel to use with the CrossValidation.py script.

Usage

• PreProcess.py creates our data matrix with 535 features and 8 targets values.
• CrossValidation.py cross validates the dataset for best possible feature combination.
• PickleProducer.py takes cross validated output and pickles predictions
• Forecaster.py uses pickles to create forecasts to use in MetaTrader 4 in live trading