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algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

avellaneda-stoikov

Python code for High-frequency trading in a limit order book by Marco Avellaneda and Sasha Stoikov

bert2bert-summarization

Abstractive summarization using Bert2Bert framework.

binance-public-data

Details on how to get Binance public data

binance-quantization

虚拟货币(BTC、ETH)炒币量化系统项目。币安交易所-量化交易-网格策略实践。火币、OKEX热门交易所未来都支持。最简单收益最靠谱的项目，包教包会。

ccxtws

让免费版ccxt也能使用ws功能，在ccxtws的基础上做了简单的修改

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

daily-interview

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

dashboard

Python + Flask + Pyecharts 定制可交互、多图联动的Dashboard

docs

bingbon api doc

douzero

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

drawk

基于pyecharts画k线分析图

few_shot_gaze

Pytorch implementation and demo of FAZE: Few-Shot Adaptive Gaze Estimation (ICCV 2019, oral)

finrl

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥

futu_algo

Futu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化高頻交易程序

hiersumm

Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

interview-notes

包含机器学习、深度学习、图像处理、c++等视觉算法岗面试必备基础知识

introduction-to-quantitative-trading

for_quant_study

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

multi-horizon-forecasting-for-limit-order-books

numpy-ml

Machine learning, in numpy

optimal-market-making

Implementation of "OPTIMAL MARKET MAKING BY REINFORCEMENT LEARNING"

orderbook-dynamics

Modeling high-frequency limit order book dynamics with support vector machines

orderimbalance

Order Imbalance Strategy in High Frequency Trading

py-mlfactor

Rewriting the code in "Machine Learning for Factor Investing" in Python

python

All Algorithms implemented in Python

quantification

quantilize_p2_p3

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL