- Vancouver, BC
Stars
Open Beta Version of Bybit Bot that I am currently working on to practice my developing skills.
Abe: block browser for Bitcoin and similar currencies
Quantitative research and educational materials
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
Machine Learning in Asset Management (by @firmai)
Parameter Optimization for Lean Algorithms
Using recurrent neural networks (RNNs) to predict bitcoin prices.
Deep Learning - Neural network (RNN, LSTM & GRU)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Ipython notebooks for math and finance tutorials
An Interview Primer for Quantitative Finance
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
wildart / Lean
Forked from QuantConnect/LeanLean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
Optimizers for Daily Fantasy Sports written in python and based on Picking Winners paper.
This is the code for constructing a portfolio of lineups for DraftKings baseball contests with a top heavy payoff structure. This code is based on the paper Picking Winners Using Integer Programmin…
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
A C# .netstandard client library for the Binance REST and Websocket Spot and Futures API focusing on clear usage and models
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)