jcritch22's Stars
firmai/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
oscarm417/Market-Making-in-Crypto-Markets
Research and Implementation of Market Making in the crypto markets
pfnet-research/pfhedge
PyTorch-based framework for Deep Hedging
nkaz001/market-making-backtest
algo trading backtesting on BitMEX
mfrdixon/dq-MM
Deep Q-Learning for Market Making
nkaz001/algotrading-example
algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)
KodAgge/Reinforcement-Learning-for-Market-Making
Using tabular and deep reinforcement learning methods to infer optimal market making strategies
jshellen/HFT
High Frequency Market Making
cbyn/bitpredict
Machine learning for high frequency bitcoin price prediction
jamesmawm/High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
workshopper/stream-adventure
go on an educational stream adventure!
ChillarAnand/stocktrends
A python package to calculate trends in stocks, derivates(Futures & Options) using Renko, PnF, LineBreak etc
quantroom-pro/pyrenko
GerardBCN/RenkoTrading
Simple algorithm inspired on Renko charts applied to cryptocurrency trading
jaggedsoft/node-binance-api
Node Binance API is an asynchronous node.js library for the Binance API designed to be easy to use.
jaggedsoft/php-binance-api
PHP Binance API is an asynchronous PHP library for the Binance API designed to be easy to use. https://github.com/binance-exchange/php-binance-api
dineshpinto/market-analytics
A random set of notebooks to analyze the crypto markets
bmoscon/cryptofeed
Cryptocurrency Exchange Websocket Data Feed Handler
javifalces/HFTFramework
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
amitness/learning
A log of things I'm learning
jktis/Trade-Classification-Algorithms
To classify trades into buyer- and seller-initiated.
sktime/sktime
A unified framework for machine learning with time series
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
fracdiff/fracdiff
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.