A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model
⚡ Executive Summary & Quick Facts
Authoritative Sourcetrading-backtest is trading-backtest is an open-source project written in Java: A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), lukstei/trading-backtest has accumulated 353 GitHub stars and 140 forks. It is written in Java, licensed under MIT, and ranks #14,725 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
| Repository | lukstei/trading-backtest ↗ |
|---|---|
| Primary Category | backtest |
| Language & Stack | Java |
| Software License | MIT |
| Community Traction | ★ 353 stars · ⑂ 140 forks · #14,725 globally |
| Maintenance | ● Active (Last commit: Nov 9, 2026) · 0 open issues |
| Target Audience | Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, trading-backtest is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (3 days ago). Supported by 353 stars and 140 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/lukstei/trading-backtest?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/lukstei/trading-backtest?utm_source=readme_badge) [](https://githubrepo.cloud/repo/lukstei/trading-backtest?utm_source=readme_badge) [](https://githubrepo.cloud/repo/lukstei/trading-backtest?utm_source=readme_badge) [](https://githubrepo.cloud/repo/lukstei/trading-backtest?utm_source=readme_badge) [](https://githubrepo.cloud/repo/lukstei/trading-backtest?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,072
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
trading-backtest gained 10 stars in the last 30 days, about 1 a day, and now has 353. It is about 11 years old and has averaged roughly 32 stars a year. It ranks #1,072 among Java repositories and #14,725 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#16075
BEST RANK
Nov 10, 2026
FIRST APPEARANCE
Active
STATUS TODAY
trading-backtest has maintained a continuous presence across global trending indexes, peaking at #16075. Below is the 30-day activity profile:
💡 Overview
trading-backtest is an open-source project written in Java: A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model.
Engineered for speed, consistency, and developer ease, it solves common hurdles in backtest, backtesting-engine, cointegration. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Java for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/lukstei/trading-backtest.git
cd trading-backtest⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
trading-backtest coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with trading-backtest.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install trading-backtest using your package manager: `git clone https://github.com/lukstei/trading-backtest.git`
Initialize your project workspace or configuration file for trading-backtest.
Import trading-backtest into your codebase or invoke it directly from your terminal.
Execute your test suite or run `trading-backtest --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
lukstei/trading-backtest is currently ranked #14,725 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,697 | shanggqm/codexU | Swift | ★ 354 | Compare ↗ |
| #14,697 | gaoypeng/3dcodeverse | Python | ★ 354 | Compare ↗ |
| #14,697 | itsmostafa/system-one-connector | Go | ★ 354 | Compare ↗ |
| #14,697 | unjs/upm | TypeScript | ★ 354 | Compare ↗ |
| #14,697 | GlobalArtInc/astrum-repository | Rust | ★ 354 | Compare ↗ |
| #14,725 | lukstei/trading-backtest This Project | Java | ★ 353 | |
| #14,725 | mojombo/erlectricity | Ruby | ★ 353 | Compare ↗ |
| #14,725 | joshfrench/rakismet | Ruby | ★ 353 | Compare ↗ |
| #14,725 | FriendsOfCake/bootstrap-ui | PHP | ★ 353 | Compare ↗ |
| #14,725 | oracle/netsuite-suitecloud-sdk | JavaScript | ★ 353 | Compare ↗ |
| #14,725 | sokomishalov/skraper | Kotlin | ★ 353 | Compare ↗ |
Frequently Asked Questions
What does trading-backtest do? +
A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model
Is trading-backtest actively maintained in 2026? +
Yes, trading-backtest is actively maintained. The latest code push was recorded on Nov 9, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 353 stars and 0 open issues.
What language is trading-backtest written in? +
The primary language is Java. Topics include: backtest, backtesting-engine, cointegration, cointegration-strategy, finance.
How many stars does trading-backtest have? +
trading-backtest has 353 stars and 140 forks on GitHub.
How does trading-backtest rank among GitHub repositories? +
With 353 stars, lukstei/trading-backtest is ranked #14,725 globally across all repositories tracked on GitHubRepo and #1,072 among Java projects.
What license is trading-backtest distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
