Awesome Systematic Trading — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Awesome Systematic Trading. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Jan 22, 2025 • Sentiment updated: Apr 8, 2026

GitHub Statistics

Community Sentiment

Community Buzz: The community is buzzing with excitement, as one user on GitHub said, 'Nice one | Indexed here: https://github.com/wangzhe3224/awesome-systematic-trading', and another user on Reddit mentioned 'NEW Extended Research - star count:2215.0 ... Seeing constructive feedback'

Pros & Cons

What People Love

The resource being a comprehensive list of systematic trading tools, The community being active and engaging on GitHub and Reddit, The addition of new research and extended resources, The constructive feedback and discussion on Reddit

Common Complaints

No significant complaints in recent discussions

Biggest Positive: Awesome resource

Biggest Negative: Lack of structure

Why Awesome Systematic Trading Stands Out

Awesome Systematic Trading stands out from alternatives due to its comprehensive aggregation of resources for systematic trading, including 97 libraries and packages, 40+ strategies, and 55 books. The repository provides a structured approach to research and development of new trading strategies, leveraging a curated list of papers, libraries, packages, strategies, books, blogs, and tutorials. This approach enables quantitative traders to build upon existing knowledge, accelerating innovation and improvement in the field of systematic trading. The repository's focus on systematic trading allows it to tackle complex problems that other alternatives may not address.

Built With

Build a multi-strategy trading platform — Awesome Systematic Trading aggregates 97 libraries and packages, 40+ strategies, and 55 books, providing a comprehensive resource for quantitative traders to develop and deploy their strategies., Build a research paper on systematic trading — The repository includes a curated list of papers, libraries, packages, strategies, books, blogs, and tutorials for systematic trading, facilitating research and development of new trading strategies., Build a backtesting framework for cryptocurrencies — Awesome Systematic Trading includes libraries and packages for backtesting and live trading, catering to the needs of cryptocurrency traders., Build a trading bot for equities — The repository provides a list of trading bots, backtesters, indicators, pricers, and other tools for equities trading., Build a data science platform for financial markets — Awesome Systematic Trading aggregates data sources, databases, graph computation, and machine learning libraries, enabling the development of data science platforms for financial markets

Getting Started

  1. Install the repository by cloning it using git: `git clone https://github.com/paperswithbacktest/awesome-systematic-trading.git`
  2. Navigate to the cloned repository: `cd awesome-systematic-trading`
  3. Install the required dependencies using pip: `pip install -r requirements.txt`
  4. Configure the repository by editing the configuration files: `vim config.json`
  5. Try running a backtest using one of the provided libraries to verify that it works: `python -m backtrader`

About

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

Official site: https://paperswithbacktest.com

Category & Tags

Category: trading

Tags: algorithmic-trading, algotrading, alpha, arbitrage-bot, awesome, awesome-list, book, finance, futures, futures-historical-data, futures-market, futuresmarkets, paper, quant, quantitative-finance, quantitative-trading, trading-algorithms, trading-bot, trading-strategies

Market Context

The community is positioning awesome-systematic-trading as a competitive resource for systematic trading and quant trading