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crypto-arbitrage

Python script to calculate the price difference in cryptocurrencies from some of the major exchanges across the world and India.

eiten

Statistical and Algorithmic Investing Strategies for Everyone

forecasting-realized-volatility-using-supervised-learning

Traditionally, volatility is modeled using parametric models. This project focuses on predicting EUR/USD volatility using more flexible, machine-learning methods.

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm_seq2seq_model_prediction

Use the deep learning recursive neural network keras RNN-LSTM Seq2Seq Many to Many model to predict some untrained points on a circle.

msm

An R package for forecasting volatility, using the Markov Switching Multifractal model.

nsepy-continuous-data

Pulls the continuous Futures and Options Data using NSEpy

ravik09

Config files for my GitHub profile.

surpriver

Find big moving stocks before they move using machine learning and anomaly detection

time-series-forecasting-using-lstm-in-r