# godzilla.dev [![License](https://img.shields.io/badge/License-Apache%202.0-informational.svg)](https://github.com/godzilla-foundation/godzilla-community/blob/master/LICENSE) [![Youtube](https://img.shields.io/youtube/channel/subscribers/UCxzzdEnDRbylLMWmaMjywOA)](https://www.youtube.com/@godzilla-dev) **godzilla.dev is an open-source C++/Python infrastructure for self-hosted crypto funding rate arbitrage and market making, with ultra low-latency architecture and enterprise private deployment.** [Documentation](https://godzilla.dev/documentation/) · [Whitepaper](./WHITEPAPER.md) · [Installation](https://godzilla.dev/documentation/installation/) · [FAQ](https://godzilla.dev/documentation/faq/) · [Enterprise](https://godzilla.dev/enterprise/)
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Tick-to-trade latency benchmark CDF

Median tick-to-trade latency is ~125 μs.

Tick-to-trade latency benchmark from the reproducible single-host artifact.

## What is godzilla.dev? godzilla.dev is **not a retail trading bot** — it is production-grade trading infrastructure. It combines an ultra low-latency **C++ execution core** with a flexible **Python strategy layer**, and is designed to run **co-located** next to exchange matching engines (e.g. AWS availability zones used by major exchanges). Trading teams and individual quants use godzilla.dev to run: - **Funding rate arbitrage** — delta-neutral spot–perp and cross-exchange funding rate strategies on centralized exchanges - **Market making** — ultra low-latency pure market making that quotes both sides of the book - **Custom low-latency strategies** — any automated strategy built on the same execution core The codebase is free and publicly available under the **Apache 2.0** license. Our mission is to democratize high-frequency trading: infrastructure that was once exclusive to quant funds, now open to everyone. ## Why godzilla.dev? - **C++ execution core.** Order placement, cancellation, and market data handling run in C++ for microsecond-level tick-to-trade latency — while strategies stay in Python for fast iteration. In the reproducible journal-only benchmark ([WHITEPAPER.md](WHITEPAPER.md)), the native path shows a median tick-to-trade of ~125 μs measured on a commodity laptop-class CPU; co-located server hardware with tuned kernels represents a different operating point. - **Self-hosted and private.** godzilla.dev is local software, not a web platform. Your API keys, private keys, and strategy configuration never leave machines you control. - **Co-location ready.** Installed from source and managed with `pm2`, following the same workflow you use to deploy on a co-located AWS machine. - **Open source, community-driven.** Exchange connectors and strategy templates are maintained by the Godzilla Foundation together with a global community of algo traders. - **Enterprise private deployment.** For funds and funding rate arbitrage teams that need a fully self-hosted stack with support, see [godzilla.dev Enterprise](https://godzilla.dev/enterprise/). ## How is godzilla.dev different from typical bot frameworks? | | godzilla.dev | Typical Python bot frameworks | |---|---|---| | Execution core | C++ (Python strategy layer) | Pure Python | | Latency profile | Designed for co-located, microsecond-level HFT | Second/millisecond-level, latency-tolerant strategies | | Deployment | Self-hosted, co-location first | Local or cloud, latency not a design goal | | Primary use cases | Funding rate arbitrage, HFT market making | Grid/DCA bots, general automation | | Target users | Prop traders, market makers, arbitrage teams | Retail users, hobbyists | Frameworks like Hummingbot are excellent for breadth of connectors and community strategies; godzilla.dev focuses on **latency-critical, self-hosted execution** for professional market making and arbitrage. ## Getting started 1. Read the [Installation guide](https://godzilla.dev/documentation/installation/) — we recommend installing from source, the same way you deploy to a co-located machine. 2. Explore the [Strategies documentation](https://godzilla.dev/documentation/strategies/) and run your first strategy. 3. Follow the [Learning series](https://godzilla.dev/learning/) — step-by-step tutorials from Python basics to AI-assisted quant workflows. ## Community - [Telegram community](https://godzilla.dev/documentation/community/) — connect with other algo traders and get help - [YouTube @godzilla-dev](https://www.youtube.com/@godzilla-dev) — tutorials and walkthroughs - [FAQ](https://godzilla.dev/documentation/faq/) — answers to common questions All official Godzilla Foundation code lives in repositories under [this GitHub organization](https://github.com/godzilla-foundation). Please download godzilla.dev software only from these official sources. See [BRAND.md](./BRAND.md) for official descriptions and press assets ## License Apache 2.0 — free for personal, research, and commercial use, including forks and private modifications. ---
## 中文简介
**godzilla.dev 是一个开源的 C++/Python 基础设施,用于自托管(self-hosted)的加密货币资金费率套利与做市,具备超低延迟架构,并支持企业级私有化部署。** godzilla.dev 不是零售型交易机器人,而是生产级的交易基础设施:C++ 撮合级低延迟执行内核 + Python 策略层,为交易所同机房(co-location)部署而设计。交易团队和个人量化交易者用它来运行: - **资金费率套利** —— 现货–永续、跨交易所的 Delta 中性资金费策略 - **做市** —— 超低延迟的双边挂单做市 - **自定义低延迟策略** —— 基于同一执行内核构建任意自动化策略 代码库基于 **Apache 2.0** 开源许可证免费公开。我们的使命是让高频交易民主化:把曾经只属于量化基金的基础设施,开放给每一个人。 企业级私有化部署(面向资金费率套利团队与机构)请见 [godzilla.dev Enterprise](https://godzilla.dev/enterprise/)。 [阅读完整文档](https://godzilla.dev/documentation/) · [Whitepaper](./WHITEPAPER.md) ## Citation If you use godzilla.dev or the benchmark artifact in your research, please cite: Kun Xue. *Low-Latency Execution Infrastructure for Funding-Rate Arbitrage: Architecture and a Reproducible Single-Host Benchmark.* 2026. Benchmark artifact: https://doi.org/10.5281/zenodo.21307411