dengcfei's Stars
imTurkey/Market-Making-with-Deep-Reinforcement-Learning-from-Limit-Order-Books
This repository is for the demonstration of our work, "Market Making with Deep Reinforcement Learning from Limit Order Books"
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
YaoyaoBae/simchain
Simchain is a blockchain simulator for education and research purpose by Dr Pei.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
jwallbridge/translob
Transformers for limit order books
Haehnchen/crypto-trading-bot
Cryptocurrency trading bot in javascript for Bitfinex, Bitmex, Binance, Bybit ... (public edition)
sunwicked/androidtv
Android Tv hello world app
mariocastro73/ML2020-2021
oegedijk/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
edeng23/binance-trade-bot
Automated cryptocurrency trading bot
dengcfei/algotrading
Algorithmic trading framework for cryptocurrencies.
dgtony/orderbook-rs
Basic order matching engine written in Rust
Elenchev/order-book-heatmap
OrderBook Heatmap visualizes the limit order book, compares resting limit orders and shows a time & sales log with live market data streamed directly from the Binance WS API. This was a short exploratory project. Keep in mind that a lot of work is needed for this to work in all market conditions.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
jina-ai/discoart
🪩 Create Disco Diffusion artworks in one line
xbc30/vue-depth-chart
Configurable Depth Chart component based on Vue. 基于Vue的可配置深度图
antholeole/actix-sockets
A Rust Demo Webapp for showing how to use websockets in actix web.
jonathancornelissen/highfrequency
The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfrequency trades and quotes data. Furthermore, it enables users to: calculate easily various liquidity measures, estimate and forecast volatility, and investigate microstructure noise and intraday periodicity.
gudbrandtandberg/CPSC540Project
Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg
asmjit/asmjit
Low-latency machine code generation