Designed to work best with Decision Support System developed inside Lazy Trading Project
https://vladdsm.github.io/myblog_attempt/topics/lazy%20trading/
Rule-based trading robot. Main features are listed below:
- Capability to contain different rules for different Market Types
- Market Type recognized Using Deep Learning Supervised Classification Model on time series data (code is in separate repository):
- R code using h2o deep learning framework
- pre-train Deep Learning on previously selected labelled markets.
- MACD metric is used as a sole asset metric considered for the model
- New data are fit continuously to the model and it tries to recognize the market.
- Market status is supplied further to the MQL 4 trading strategy
Functionality of this EA is explained in the Udemy course Lazy Trading Part 6: Detect Market status with AI
Use on your own risk: past performance is no guarantee of the future results!