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xang1234
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xang1234/stock-screener

Stock scanner with multiple fundamental and technical criteria. Features 80+ filters, AI chatbot (Groq/DeepSeek/Gemini), theme discovery, and StockBee-style breadth indicators.

Python ◇ canslim Apache-2.0
★324STARS
⑂107FORKS
!7ISSUES
🏆#4,293GLOBAL RANK
🔥3DAYS TRENDING
🚀
Maintainer Growth Kit for stock-screener

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Star History

Continuous Observations
Interactive star growth chart for xang1234/stock-screener
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#510

MOST-STARRED Python

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

stock-screener gained 10 stars in the last 30 days, about 1 a day, and now has 324. It is about 1 year old and has averaged roughly 324 stars a year. It ranks #510 among Python repositories and #4,293 across all languages on GitHubRepo.

Trending Record

stock-screener has maintained a continuous presence across global trending indexes, peaking at #3147. Below is the 30-day activity profile:

💡 Overview

stock-screener is an open-source project written in Python: Stock scanner with multiple fundamental and technical criteria. Features 80+ filters, AI chatbot (Groq/DeepSeek/Gemini), theme discovery, and StockBee-style breadth indicators.

Engineered for speed, consistency, and developer ease, it solves common hurdles in canslim, finance, investment. 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 stock-screener

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

stock-screener 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

Production System Integration

Embed stock-screener into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install stock-screener using your package manager: `pip install stock-screener`

2

Initialize your project workspace or configuration file for stock-screener.

3

Import stock-screener into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `stock-screener --help` to verify successful setup.

👍 Strengths

Active community backing with 324 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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

xang1234/stock-screener is currently ranked #4,293 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,288 langalex/couch_potato Ruby ★ 325 Compare ↗
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#4,288 openclaw/AXorcist Swift ★ 325 Compare ↗
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#4,288 beany-vu/michi-vz-mono TypeScript ★ 325 Compare ↗
#4,293 xang1234/stock-screener This Project Python ★ 324
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Frequently Asked Questions

What does stock-screener do? +

Stock scanner with multiple fundamental and technical criteria. Features 80+ filters, AI chatbot (Groq/DeepSeek/Gemini), theme discovery, and StockBee-style breadth indicators.

What language is stock-screener written in? +

The primary language is Python. Topics include: canslim, finance, investment, market-breadth, minervini.

Is stock-screener actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 7 open issues being tracked.

How many stars does stock-screener have? +

stock-screener has 324 stars and 107 forks on GitHub.

How does stock-screener rank among GitHub repositories? +

With 324 stars, xang1234/stock-screener is ranked #4,293 globally across all repositories tracked on GitHubRepo and #510 among Python projects.

What license is stock-screener distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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