Alternatives

Ashare alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Ashare

股票行情实时数据接口-A股,完全免费的沪深证券股票数据-中国股市,python最简封装的API接口,包含日线,历史K线,分时线,分钟线,全部实时采集,系统包括新浪腾讯双数据核心采集获取,自动故障切换,STOCK数据格式成DataFrame格式,可用来查询研究量化分析,股票程序自动化交易系统.为量化研究者在数据获取方面极大地减轻工作量,更加专注于策略和模型的研究与实现。

92
Quality
86
Trust
3.6K
Stars
#1

Stock

Similarity 147Trust 92Excellent 100

30天掌握量化交易 (持续更新)

7.8K starsApr 17, 2026 pushfinancePythonQuant
$ npx skills add Rockyzsu/stock
#2

Efinance

Similarity 145Trust 91Excellent 100

efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库,回测以及量化交易的好帮手!🚀🚀🚀

3.8K starsMar 18, 2026 pushfinancePythonQuant
$ npx skills add Micro-sheep/efinance
#3

Vnpy

Similarity 142Trust 95Excellent 100

基于Python的开源量化交易平台开发框架

42K starsMay 17, 2026 pushfinancePythonQuant
$ npx skills add vnpy/vnpy
#4

QUANTAXIS

Similarity 139Trust 91Excellent 100

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

11K starsFeb 28, 2026 pushfinancePythonQuant
$ npx skills add yutiansut/QUANTAXIS
#5

Tqsdk Python

Similarity 138Trust 93Excellent 100

天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易

4.8K starsJun 11, 2026 pushfinancePythonQuant
$ npx skills add shinnytech/tqsdk-python
#6

Akquant

Similarity 137Trust 96Excellent 100

AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架

1.5K starsJun 11, 2026 pushfinancePythonQuant
$ npx skills add akfamily/akquant
#7

Chan.Py

Similarity 137Trust 93Excellent 100

开放式的缠论python实现框架,支持形态学/动力学买卖点分析计算,多级别K线联立,区间套策略,可视化绘图,多种数据接入,策略开发,交易系统对接;

1.9K starsJun 10, 2026 pushfinancePythonQuant
$ npx skills add Vespa314/chan.py
#8

Trader

Similarity 133Trust 90Excellent 100

期货自动交易

8.3K starsFeb 28, 2026 pushfinanceCQuant
$ npx skills add timercrack/trader
#9

Wtpy

Similarity 132Trust 86Excellent 85

wtpy是基于wondertrader为底层的针对python的子框架

1.5K starsAug 6, 2025 pushfinancePythonQuant
$ npx skills add wondertrader/wtpy
#10

Czsc

Similarity 132Trust 90Excellent 100

缠中说禅技术分析工具;缠论;股票;期货;Quant;量化交易

5.3K starsJun 12, 2026 pushfinanceRustQuant
$ npx skills add waditu/czsc
#11

One Quant Doc

Similarity 131Trust 73Promising 61

缠中说禅-缠论技术分析 实时自动笔段画线、中枢标识 递归分析整体走势 作为买卖分析参考

431 starsAug 20, 2025 pushfinancePythonQuant
$ npx skills add neil-pan-s/one-quant-doc
#12

Ctpbee

Similarity 130Trust 84Strong 81

简单易用的期货实盘ctp交易框架

998 starsMay 12, 2026 pushfinancePythonQuant
$ npx skills add ctpbee/ctpbee
#13

Twstock

Similarity 130Trust 93Excellent 100

台灣股市股票價格擷取 (含即時股票資訊) - Taiwan Stock Opendata with realtime

1.4K starsMay 19, 2026 pushfinancePythonFinance
$ npx skills add mlouielu/twstock
#14

Vnpy Binance

Similarity 129Trust 84Strong 83

Binance trading gateway for VeighNa Evo

416 starsJun 8, 2026 pushfinancePythonQuant
$ npx skills add veighna-global/vnpy_binance
#15

QuantMind

Similarity 129Trust 85Strong 83

QuantMind 开源版 是一款面向个人量化研究者的本地化金融量化交易平台,基于微软 Qlib 量化框架构建,提供从模型训练,回测,推理,实盘交易的完整研究闭环。 平台深度集成 LightGBM 等主流机器学习模型,支持 146 维量化因子训练与推理,用户可快速构建 Alpha 策略并在历史数据上验证效果。核心功能涵盖智能策略生成、模型训练、回测中心、QuantBot 助手及多模型管理,全部功能无使用限制。 开源版采用本地单机部署,通过 docker compose 一键启动,无需依赖云服务,数据与模型完全本地化,保障研究隐私。适合个人开发者、学术研究者及小团队进行量化策略原型验证与二次开发,是进入金融量化领域的理想起点。

358 starsJun 15, 2026 pushfinancePythonQuant
$ npx skills add qusong0627/QuantMind
#16

Finnhub Python

Similarity 128Trust 92Excellent 95

Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global ETFs holdings and alternative data. https://finnhub.io/docs/api

1.0K starsApr 22, 2026 pushfinancePythonFinancial Data
$ npx skills add Finnhub-Stock-API/finnhub-python

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Ashare if it already passes your workflow test and repository review.

Next step

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Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.