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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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Free, open source crypto trading bot
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
FinRL®: Financial Reinforcement Learning. 🔥
Statsmodels: statistical modeling and econometrics in Python
Python toolkit for quantitative finance
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
Automatic extraction of relevant features from time series:
Probabilistic time series modeling in Python
Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit
Algorithmic Trading in Python with Machine Learning
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
ARCH models in Python
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
Collection of algorithms for online portfolio selection
Top training materials in quantitative finance
A Python library for evaluating option trading strategies.
Python interface to Brazilian Central Bank web services
Analysis of financial instruments
a cashflow engine wrapper for structured finance professionals
This repository contains codes that were executed during my training in the CQF (Certificate in Quantitative Finance). The codes are organized by class, facilitating navigation and reference.
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Fast Risks with QuantLib in Python
BTC order book microstructure analysis: OBI, CVD, and spread statistics from 38 days of Binance data
Tracker for U.S. public-company equity stakes in Anthropic and OpenAI. Built from primary SEC filings, court records, and press releases. Each row confidence-tagged (V/P/S).