mkhushi

MQL5-Python-Backtesting. MQL5 based backtesting using python

code-with-paper. Jupyter Notebook

mkbacktester. Back test your trading strategy on historical prices on any financial markets (Forex/Stock and others).

RL4PortfolioOptimisation. Jupyter Notebook

ML_Models4StockPrediction. Code Implementation of a range of supervised machine learning methods include Gradient Boosting, Logistic Regression, State Space Modeling, Deep Neural Networks and LSTMs.

matcol. MatCol: a tool to measure fluorescence signal colocalisation in biological systems https://www.nature.com/articles/s41598-017-08786-1

NLP-of-StockTwits-data-for-predicting-stocks. Jupyter Notebook

mkhushi.github.io. HTML