We research the correlations between astrology planet cycles and price effect for multiples financial markets using statistics and machine learning techniques. Join the community discussions at Telegram:

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

etrm: Energy Trading and Risk Management in R

Basic Technical Trading Analysis with R

Example of intraday stop loss behaviour

Backtested trading strategies using ML for signals

R framework for quickly and professionally R&D trading strategies.

A set of projects which illustrate the implementation of the 'buy on gap' trading strategy.

IOTAr: A Package for the R Statistical Programming Language

Taking a first glance at a Robinhood dataset

A concise and fast calculation for backtesting (or simulating) stock trading strategies in R. Trade entries by input signals, exits timed for the exact holding period.

The algorithm of searching for pontential pairs trading pair

An R Package for the BitCoinCharts.com API which includes functions to acquire historic trade data, weighted prices, and market data.

Stock analysis and strategy testing for TSLA as in RSI 14. In RStudio

[June 5, 2020] How could the stock market recover in 76 days?