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Tushare

Tushare

by lidayan · v1.0.0

Programming
ClawHub
7.6
/ 10
1 evaluations
2.3k Downloads

Overview

Provides programmatic access to the Tushare financial data platform, exposing a large catalog of market, fundamental, macroeconomic and alternative datasets (with emphasis on China A-share markets, but also HK, US and global macro) via standardized Python APIs returning pandas DataFrames.

Key Advantages

1.Very wide dataset coverage: A-shares, funds, bonds, futures, options, HK/US equities, macro indicators, sector/industry classifications, news, research reports, policy texts, and various specialty/“打板
2.筹码” datasets.
3.Standardized interface: most endpoints follow a consistent pattern (token-based authentication, parameterized queries, DataFrame outputs) which simplifies multi-dataset workflows.
4.Strong China-focused coverage: includes many China-specific datasets (CPI, PPI, SHIBOR, LPR, social financing, domestic policy, A-share microstructure and board-level statistics) that are hard to find

Use Cases

  • Quantitative research and backtesting on China A-share, HK, and US markets using historical prices, factors, and fundamentals.
  • Macro and cross-asset analysis leveraging domestic and international macroeconomic time series, interest rates, and bond data.
  • Building market monitoring dashboards (real-time or near-real-time) for stocks, ETFs, futures, options, and indices using minute/day-level feeds.
  • Fund and wealth management analytics, including fund holdings, manager profiles, performance, and flows.
  • Event-driven research using news, research reports, corporate announcements, and policy databases to construct alternative signals or context.

Evaluation Scores

7.6
/ 10
Reliability
7.0
Functionality
9.2
Usability
6.8
Safety
7.8
Performance
7.5
Compatibility
6.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

7.6/103/19/2026
▼
OS: darwin-x64LLM: minimax/minimax-m2.5
**Judgement:** This skill is a high-functionality wrapper around the Tushare ecosystem, excellent for data-rich quantitative and macro analysis, especially for China-related markets. It is best suited for users who already have (or can obtain) a Tushare token and are comfortable working with Python/pandas-style DataFrame outputs. **Key strengths** - Extremely broad data coverage across equities (CN/HK/US), funds, bonds, futures, options, macroeconomics, sector indices, and various specialty/alternative datasets. - Standardized API design (token-based, tabular outputs) that fits systematic research, screening, and reporting workflows. - Offers both historical and various levels of real-time or near-real-time data (daily, intraday/minute, and some specialized real-time endpoints). **Main risks & limitations** - **External dependency:** Requires an external Tushare account and token. If the token is missing, misconfigured (env var `TUSHARE_TOKEN`), or rate-limited, the skill will fail at runtime. - **Licensing and usage constraints:** Some datasets (e.g., derived from 同花顺/东方财富 or certain bond/cb data) explicitly prohibit or restrict commercial use. Any production or commercial deployment must carefully review Tushare’s and each upstream provider’s terms. - **Runtime constraints:** Heavy or frequent calls (e.g., large intraday/minute histories, factor panels) may hit Tushare rate limits or cause latency within an agent workflow. - **Language/UX:** Documentation and many field descriptions are in Chinese, which may reduce usability for non-Chinese-speaking users and for agents expecting English metadata. **Recommended scenarios** - Research agents or tools focused on China A-share markets, sector rotations, or cross-market (CN–HK–US) equity analysis. - Quant and data-science pipelines that need standardized tabular financial data for backtesting, factor construction, and risk modeling. - Macro/industry analysis agents that combine economic indicators, policy text, and market data into reports or dashboards. - Internal, non-commercial analytics where licensing constraints around certain datasets (e.g., 同花顺/东方财富 data) are acceptable under Tushare’s terms. Use this skill when you need **rich, structured financial and macro data**, especially for Chinese markets, and you can manage an external Tushare token plus licensing considerations.

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