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Tags / Finance and trading /

Backtesting

A library or tool that tests trading strategies on historical market data.

Repositories

25

Net stars gained, last 7 days

+4,978

Top-level Tag

Finance and trading

Net stars gained each day, last 90 days

2026-08-17: +961 net stars. Most from nautechsystems/nautilus_trader, +458.2026-10-22: +850 net stars. Most from Jakeschincariol/day-trader-skill, +367.2026-10-25: +1,030 net stars. Most from Jakeschincariol/day-trader-skill, +501.2026-10-26: +808 net stars. Most from Jakeschincariol/day-trader-skill, +453.2026-10-29: +912 net stars. Most from Jakeschincariol/day-trader-skill, +586.

Peak days

  1. 1

    Aug 17, 2026 +961 net stars (median day +385)

  2. 2

    Oct 22, 2026 +850 net stars (median day +385)

  3. 3

    Oct 25, 2026 +1,030 net stars (median day +385)

  4. 4

    Oct 26, 2026 +808 net stars (median day +385)

  5. 5

    Oct 29, 2026 +912 net stars (median day +385)

A peak day has at least 2 times the net stars of the median day of this chart, and at least 100 more. For each peak day, the list shows the repositories that gained the most net stars that day. It also shows their GitHub releases of that day or the day before (UTC), and their creation date when it was 14 days or less before. These events occur near the same day. They do not show why the stars came.

Largest

Most stars in total now.

  1. virattt/ai-hedge-fund64K

    readme: **Backtesting** — replay a fund over history and watch its equity curve draw against its benchmark.

  2. freqtrade/freqtrade56K

    readme: **Backtesting**: Run a simulation of your buy/sell strategy.

  3. microsoft/qlib50K

    readme: High-frequency trading example

  4. vnpy/vnpy46K

    readme: cta_backtester：CTA策略回测模块，无需使用Jupyter Notebook，直接使用图形界面进行策略回测分析、参数优化等相关工作

  5. HKUDS/Vibe-Trading38K

    readme: Save versioned research artifacts and reuse manifest-checked prior backtests

  6. nautechsystems/nautilus_trader31K

    readme: **Backtesting**: Multiple venues, instruments, and strategies simultaneously using historical quote tick, trade tick, bar, order book, and custom data with nanosecond resolution.

  7. mementum/backtrader24K

    description: Python Backtesting library for trading strategies

  8. QuantConnect/Lean22K

    readme: an open-source platform for backtesting and live trading algorithms in multiple financial markets.

  9. UFund-Me/Qbot19K

    readme: 利用历史数据进行回测，如果回测结果显示该因子的预测能力达标，就提交到因子库。

  10. myhhub/stock15K

    readme: 对指标、策略等选出的股票进行回测，验证策略的成功率，是否可用。

Newest Admissions

Entered the index by the rising rule, newest first.

  1. baiziyu2002git/ZiyuQuant175

    readme: 这个仓库放产品介绍、展示素材及独立中低频回测框架

  2. Polytutor-AI-Labs/polymarket-black-scholes-hft-bot189

    description: paper mode and backtests

  3. Jakeschincariol/day-trader-skill4.9K

    readme: it replays the rest of the session 10,000 times from the stock's own recent bars, plus every past day the same setup fired

  4. Sixian-Li/plain-backtest529

    readme: run the backtest, and reconcile orders and daily account balances against an independent ledger

All 25 in the Repository Index

How a repository gets this Tag

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