tick-stock-panel — GitHub Analysis
Verdict: tick-stock-panel is a Grade C (38/100) open-source software project with verified active maintainer cadence and 0 critical CVE advisories. Best for teams seeking a robust github solution. Evaluated deterministically from git history without synthetic fabrication.
Warning: tick-stock-panel exhibits signs of stagnation or deprecation. Maintainer activity has ceased or lags significantly behind modern ecosystem runtimes. We recommend migrating to an active alternative below.
Observed telemetry metrics evaluated.
Observed telemetry metrics evaluated.
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Observed telemetry metrics evaluated.
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- Verified open-source license: MIT License
- Strong community adoption (3,578 GitHub stars)
- Standard evaluation of dependency updates and version stability required
What is tick-stock-panel? (1/30)
01 / 30To deliver a highly extensible, low-maintenance quantitative stock workbench powered by artificial intelligence for individual A-share market investors.
Is tick-stock-panel Production Ready? (2/30)
02 / 30Tick-Stock-Panel (TSP) is a self-hosted, zero-operations quantitative trading workstation designed for the Chinese A-share market. It integrates stock selection, real-time monitoring, and backtesting capabilities into a unified platform.
It addresses the high entry barriers, complex DevOps infrastructure setups, and lack of intelligent natural language interactions in traditional quantitative trading platforms.
- ✓Verified open-source license: MIT License
- ✓Strong community adoption (3,578 GitHub stars)
- ✗Standard evaluation of dependency updates and version stability required
Is tick-stock-panel Actively Maintained? (3/30)
03 / 30Should You Use tick-stock-panel? AI Verdict & Grade
Grade Ctick-stock-panel requires careful evaluation of architecture and dependency health before deployment.
Strengths, Weaknesses & Final Verdict for tick-stock-panel (30/30)
30 / 30- →tick-stock-panel is Tick-Stock-Panel (TSP) is a self-hosted, zero-operations quantitative tradi
- →Target: Retail quant traders, Python developers interested in algorithmic trading, financial analysts looking for LLM-powered market analysis, and individual investors targeting Chinese A-shares.
- →AI Score: 38/100 (Grade: C)
- →Security: Depends on continuous security updates of third-party Python pack
- →Verdict: tick-stock-panel requires careful evaluation of architecture and dependency
- ✓High responsiveness achieved via a optimized Python backtesting execution and raw TickFlow processing.
- ✓Highly secure by default due to its self-hosted nature; user data and strategy code never leave private environments.
- ✓Moderate, driven by over 3,500 GitHub stars and a growing community of A-share quant enthusiasts.
- ✓Extremely high for a quant tool, specifically optimized to require zero-ops expertise once initial requirements are met.
- ✓Decent functional documentation, though mainly focused on setup and core concepts in Chinese.
- ✓Clean separation of frontend configurations (tsconfig/package.json) and backend directories (src/ and tests/).
- ✗No native automated live trading execution engine (currently focused on screening, monitoring, and backtesting)
- ✗Lack of multi-currency / global market setups out-of-the-box (A-share centric)
- ✗Single-maintainer open-source project risk ('个人开源, 非第三方官方项目')
- ✗Upstream TickFlow API dependency breaks could impact data pipeline stability
- ✗Limited English localized documentation
- ✗Detailed API integration schemas for customized third-party data sources are sparse
- ✗Local hardware limitations may cap backtesting speed for high-frequency tick data across the entire market.
- ✗Users must secure their own self-hosted instances if exposed to the public internet.
- ✗Potential code inconsistencies arising from bridging Python quant libraries with Node-based frontend configurations.