An A-share AI trading robot that drives real trades with four parallel LLMs including DeepSeek, controlled through a chat interface, with built-in risk controls — obtained via a paid service card, not a free download.
DSH integration
Ecosystem-related
Author-claimed
Safety audit
Unaudited
Last verified
2026-08-23
License
Not specified by the author
01What can it help you accomplish?
Run autonomous A-share trading driven by four LLMs (incl. DeepSeek) with selection across the whole market
Real-time trading decisions, buy/sell signals and execution logs through an iClaw-connected chat interface
Retail A-share traders who want AI-driven, multi-model automated trading with optional human-in-the-loop control
02How to install into DeepSeek Harness
Prerequisites
- A real A-share trading account connected to the system (the README says it connects to a real trading account)
- The service is obtained by purchasing a service card at https://hyqibot.com/card-shop.html (per the README description)
Installation steps
- 01
Purchase a service card from https://hyqibot.com/card-shop.html to obtain the software (the README description states this is how to get it)
Verify the integration
Not specified by the author
03DSH integration and capability boundaries
Works alongside DeepSeek Harness as one of four supported LLM backends (uses the DeepSeek model for A-share trading decisions)
Multi-model parallel trading
Natural-language trading intents and market data→Buy/sell signals executed automatically across the whole market
Connects to a real A-share trading account and can execute live tradesiClaw chat & natural-language commands
Chat messages like `@deepseek 解释一下市盈率` or `@iClaw 用幻银超i买入002961 1000股，价格26.9`→Model replies (chat) or translated JSON trade orders routed through /buy, /sell
Risk control
Position and stop-loss configuration→Built-in position control and stop-loss enforcement
04Who is it for? When not to use it?
Good for
- Retail A-share traders who want AI-driven, multi-model automated trading with optional human-in-the-loop control
Not for
- The system connects to a real A-share trading account and executes trades automatically with built-in position control and stop-loss; live trading carries real financial risk. The README does not state any backtest-only or paper-trading mode.
- The software is obtained by purchasing a service card; the README description states it is not freely downloadable from the repo.
05Compatibility, maintenance and safety notes
- The system connects to a real A-share trading account and executes trades automatically with built-in position control and stop-loss; live trading carries real financial risk. The README does not state any backtest-only or paper-trading mode.
- The software is obtained by purchasing a service card; the README description states it is not freely downloadable from the repo.
No license declared · no releases · last push 2026-08-20
06Frequently asked questions
How do I install a-share-ai for DeepSeek Harness?
The README does not provide a dsh plugin install command. It states the software is obtained by purchasing a service card at https://hyqibot.com/card-shop.html; the repo itself does not ship a free installable package.
Does it run inside DeepSeek Harness (dsh)?
It is ecosystem-level: the project lists deepseek-harness as a topic and uses the DeepSeek model as one of four LLM backends, but the README describes a standalone trading system with its own iClaw chat layer rather than a dsh plugin runtime.
What can I do with the DeepSeek model here?
You can chat with it (e.g. `@deepseek 解释一下市盈率`) or let the iClaw layer route a natural-language intent to the DeepSeek model to produce buy/sell orders. All four models also run in parallel to compare returns.
Is there a paper-trading or simulation mode?
The README describes connection to a real A-share trading account and automatic live execution with built-in position control and stop-loss. No backtest-only or simulation mode is stated in the README.
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08Data and sources
基于四大国内大模型（幻银超i、DeepSeek、通义千问、豆包）的A股自动交易系统，支持全市场选股和实盘交易。
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-23. Found an error? Submit a correction.
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