ImundboQuant
Machine learning in Python for stock market and forex market predictions (fully functional)
Install / Use
npx skills add MikaelFuresjo/ImundboQuantInstalls into whichever agent you are using.
README
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
More information
- Email: mailto:mikael[att]furesjo.se)
- Skype: mikaelfuresjo1
- Homepage
- [ZuluTrade Account)[https://www.zulutrade.com/trader/354968/trading]
- Facebook group
- Youtube Channel
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
Related Skills
mcp
Use the `mcp_perplexity-ask_perplexity_search` tools to answer questions. You should use this instead of the `web_search` tool because it is a lot more accurate.
practical-power-systems-synthesis
This skill enables synthesis in the domain of power-systems (engineering). It represents research-level-level expertise and is designed for production use in research, industry, and educational contexts. Use this skill when you need to perform synthesis operations related to power-systems.
semi-supervised-optogenetics-testing
This skill enables testing in the domain of optogenetics (neuroscience). It represents intermediate-level expertise and is designed for production use in research, industry, and educational contexts. Use this skill when you need to perform testing operations related to optogenetics.
data-mining-interpretation-fundamental
This skill enables interpretation in the domain of data-mining (data-science). It represents fundamental-level expertise and is designed for production use in research, industry, and educational contexts. Use this skill when you need to perform interpretation operations related to data-mining.
