Other

项目介绍

evan-kolberg/prediction-market-backtesting 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 Other 许可证,目前获得 1.3k 个 Star、201 次 Fork。

仓库全名
evan-kolberg/prediction-market-backtesting
开源许可证
Other
Star 数
1.3k
Fork 数
201
未关闭 Issue
3

README 摘要

prediction-market-backtesting Backtesting framework for prediction market strategies on Kalshi and Polymarket, built on top of NautilusTrader with custom exchange adapters. Plotting inspired by minitrade. This repo is still in active development. Fantastic single & multi-market charting. Featuring: equity (total & individual markets), profit / loss ticks, P&L periodic bars, market allocation, YES price (with green…

完整内容见 GitHub 原始 README 或本页 。

常见问题

prediction-market-backtesting 用什么语言开发?

主要使用 Python 编写,采用 Other 许可证,目前有 1.3k 个 Star。

prediction-market-backtesting 可以免费商用吗?

仓库标注的许可证为 Other,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 prediction-market-backtesting 的源码?

可以直接克隆仓库:git clone https://github.com/evan-kolberg/prediction-market-backtesting.git,默认分支为 v4.1-alpha;安装与运行步骤见仓库 README。

prediction-market-backtesting 最近还在维护吗?

仓库最近一次更新为 5月17日,当前有 3 个未关闭 Issue;Star 数为 1.3k,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

An extension for Nautilus Trader

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
1677
价值分
820
活跃状态
活跃

语言占比

HTML
Makefile
Python
Rust

贡献者

README

prediction-market-backtesting

GitHub stars GitHub forks GitHub watchers

Licensing: Mixed Ruff uv Python Rust Rust Edition NautilusTrader GitHub last commit GitHub commit activity GitHub code size GitHub top language GitHub open issues

Relay Status r2.pmxt.dev CPU Load I/O Wait RAM Disk Mirror Service Hours Mirrored Latest File

Backtesting framework for prediction market strategies on Kalshi and Polymarket, built on top of NautilusTrader with custom exchange adapters. Plotting inspired by minitrade. This repo is still in active development.

Fantastic single & multi-market charting. Featuring: equity (total & individual markets), profit / loss ticks, P&L periodic bars, market allocation, YES price (with green buy and red sell fills), drawdown, sharpe (with above/below shading), cash / equity, monthly returns, and cumulative brier advantage. Charting preview /nautilus_pm/nautilus_trader/analysis/legacy_backtesting/plotting.py

If you find any bugs, unexpected behavior, or missing simulation features, PLEASE post an issue or discussion.

Detailed guides have been filed away in the docs index for better organization and long-term sustainability.

Table of Contents

Star History

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