MachineLearning in Forex and Binary Options

If you find this useful, you can hire me to help you with your project on https://lucem.dev

please note that this requires a deep knowledge in forex, python and a bit of AWS Machine Learning Service

Usage

1. clone the project: the main file is main.py(ofcourse). This file manipulates data to produce relevant data for analysis, you can read below for more
2. download your data: the data in use is from HistData site
3. process your data: run main. the input data file is raw.csv and output is data.csv
4. upload output to AWS for analysis with ML

More

For machine learning introduction with AWS, watch this video

Data

The raw data in csv has the columns:

1. time/date : EST with no daylight saving
2. candle open
3. candle high
4. candle low
5. candle close
6. volume : this is invalid entry for now

Processing

main.py loops through the data producing numeric values with patterns I use one modified indicator (RSX) for trends and an Artificial Neural Network to produce all the values. RSX gives the directional momentum on average but plays a role in analysing the various changes in the market over time the ANN used processes the data with several hidden layers which produce the final values

Testing

this project has heavily reliance on AWS services interaction since it is not implemented with any APIs, i hope this helps to ease your implementation.

Happy Trading