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Ashare

Stock market real-time data interface - A shares, completely free Shanghai and Shenzhen securities stock data - China stock market, Python's simplest encapsulated API interface, including daily lines, historical K lines, time-sharing lines, minute lines, all real-time collection, the system includes Sina Tencent dual data core collection and acquisition, automatic failover, STOCK data format into DataFrame format, can be used to query and study quantitative analysis, stock program automated trading system. It greatly reduces the workload of quantitative researchers in data acquisition, and focuses more on the research and implementation of strategies and models.

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Popularity
Repository stars3,930277,213Highest
7-day net stars——
Fork66720,683Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2025-12-242025-08-22
Maintenance notesNot verifiedNot verified
Repository created2021-06-112019-03-26
License & use
LicenseLicense not declaredLicense not declared
License source—License source
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeUnknownDeveloper tools
TypeApps & systemsApps & systems
SubcategoryGeneralDeveloper tools
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePython—
About this projectStock market real-time data interface - A shares, completely free Shanghai and Shenzhen securities stock data - China stock market, Python's simplest encapsulated API interface, including daily lines, historical K lines, time-sharing lines, minute lines, all real-time collection, the system includes Sina Tencent dual data core collection and acquisition, automatic failover, STOCK data format into DataFrame format, can be used to query and study quantitative analysis, stock program automated trading system. It greatly reduces the workload of quantitative researchers in data acquisition, and focuses more on the research and implementation of strategies and models.Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Measured at2026-11-03 09:38 UTC2026-11-03 08:23 UTC

License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.