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Simreal-AI/Xitadel-QuantBench

[Public preview] The first public quant trading benchmark scored against what professional traders actually made on the same asset

Python ◇ ai-evaluation MIT
★102STARS
⑂8FORKS
!0ISSUES
🏆#6,734GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for Simreal-AI/Xitadel-QuantBench
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#791

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

Xitadel-QuantBench gained 10 stars in the last 30 days, about 1 a day, and now has 102. It is about 1 year old and has averaged roughly 102 stars a year. It ranks #791 among Python repositories and #6,734 across all languages on GitHubRepo.

Trending Record

Xitadel-QuantBench has maintained a continuous presence across global trending indexes, peaking at #5562. Below is the 30-day activity profile:

💡 Overview

Xitadel-QuantBench is an open-source project written in Python: [Public preview] The first public quant trading benchmark scored against what professional traders actually made on the same asset.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-evaluation, benchmark, public-preview. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install Xitadel-QuantBench

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Xitadel-QuantBench coordinates its core functionality through a modular Python 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 Xitadel-QuantBench.

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

1

Install Xitadel-QuantBench using your package manager: `pip install Xitadel-QuantBench`

2

Initialize your project workspace or configuration file for Xitadel-QuantBench.

3

Import Xitadel-QuantBench into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Xitadel-QuantBench --help` to verify successful setup.

👍 Strengths

Active community backing with 102 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Simreal-AI/Xitadel-QuantBench is currently ranked #6,734 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#6,734 Simreal-AI/Xitadel-QuantBench This Project Python ★ 102
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Frequently Asked Questions

What does Xitadel-QuantBench do? +

[Public preview] The first public quant trading benchmark scored against what professional traders actually made on the same asset

What language is Xitadel-QuantBench written in? +

The primary language is Python. Topics include: ai-evaluation, benchmark, public-preview, quant-trading, simreal.

Is Xitadel-QuantBench actively maintained? +

Yes, the last recorded push was on Sep 24, 2026 with 0 open issues being tracked.

How many stars does Xitadel-QuantBench have? +

Xitadel-QuantBench has 102 stars and 8 forks on GitHub.

How does Xitadel-QuantBench rank among GitHub repositories? +

With 102 stars, Simreal-AI/Xitadel-QuantBench is ranked #6,734 globally across all repositories tracked on GitHubRepo and #791 among Python projects.

What license is Xitadel-QuantBench distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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