Ross ROSS = Recommend OSS · open-source software intelligence for agents

shy3130/tick-stock-panel

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非第三方官方项目 observed · 2026-08-28

github.com/shy3130/tick-stock-panel · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

58/100

  • Activity 99
  • Release rhythm 35
  • Longevity 5

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 76
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3817 stars · 882 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A self-hosted, zero-ops quantitative workbench for China A-share stock screening, monitoring, and backtesting, built with Python (FastAPI, Polars, DuckDB) and a React frontend. It integrates LLM capabilities for strategy generation and stock analysis, supports pluggable third-party data sources, and provides factor mining, market sentiment tracking, and real-time anomaly alerts.

Use cases

  • screen all A-share stocks with built-in or custom strategies in milliseconds
  • backtest trading strategies and factors with T+1, fees, and slippage constraints
  • mine multi-factor ranking combinations with out-of-sample validation
  • monitor stock price signals and exchange anomaly rules in real time with push notifications
  • use LLM to generate custom screening strategies and analyze individual stocks
  • track market sentiment phases and limit-up ladder statistics
  • connect custom third-party data sources via plugins and YAML configuration
  • run AI-powered post-market review and stock analysis across technical, fundamental, and news dimensions

When to choose

  • you are a retail investor or quant hobbyist wanting a self-hosted A-share research workbench
  • you need fast full-market stock screening with Polars and DuckDB
  • you want LLM-assisted strategy authoring and stock analysis
  • you need factor backtesting with point-in-time financial snapshots
  • you want pluggable data sources and extensible custom fields

When to avoid

  • you need a production trading or order-execution platform
  • you want a polished consumer market-watching app like Tonghuashun or TDX
  • you expect built-in AI stock recommendations or limit-up prediction (explicitly excluded)
  • you require commercial use (license forbids it)
  • you are a beginner seeking a turnkey investment tool rather than a research demo

Facets

application · maturity active

search-engine data-visualization analytics machine-learning llm-inference agent-framework monitoring alerting charts web-framework database fintech data-science self-hosted analytics artificial-intelligence large-language-models web-development self-hosted python cross-platform a-stock stock-screener backtesting quant tickflow polars duckdb fastapi react llm-driven factor-mining market-monitoring stock-analysis trading-strategies chinese-stock-market quantitative-finance ai-agents automation docker web-server

1 source

Member repositories

RepositoryRoleHealth v2
shy3130/tick-stock-panelmain58

For agents

markdown · JSON · MCP: product_card(name="shy3130/tick-stock-panel")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem