dsh-stock-assistant
Run the following command in DeepSeek Harness:
dsh plugin install fxxg023/dsh-stock-assistant
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install fxxg023/dsh-stock-assistant in your terminal to install this plugin; the source repository is at https://github.com/fxxg023/dsh-stock-assistant .
About this plugin
Day-to-day A-share research scatters quotes, sector hotspots, capital flows and dragon-tiger lists across several websites. Pulling a single candlestick or checking the limit-up pool each requires a different page, fragmenting the analysis loop and slowing things down. dsh-stock-assistant unifies Eastmoney, Tencent and akshare public data into one conversational interface so you can go from watching the market to backtesting in a single turn.
The plugin registers 21 model tools covering real-time quotes and technical indicators, sector rankings and money flow, the limit-up pool and dragon-tiger list, per-stock financial summaries and news. A standout feature is stock_profile, which first recognises a stock's behavioural character, then automatically matches and recommends strategies with backtest comparisons, removing the trial-and-error of manual parameter tuning. Paired with the multi-factor screener (screen) and six preset strategy backtests (backtest), you can go from selection to validation in one pass. The watchlist polls your stocks every 30 seconds and fires alerts on price moves, limit up/down and volume spikes; Windows users also receive desktop toast notifications.
It is built for retail A-share investors and quant learners who want a complete watch, screen, backtest and monitor loop inside a conversation, without bouncing between browser tabs. Data comes from unofficial public endpoints and is intended for research and learning only, not investment advice.
Use Cases
- Quickly check stock quotes, sector rankings and the limit-up pool in conversation
- Identify a stock character and auto-match backtested strategies
- Set up watchlist polling with desktop alerts on price moves
Best For
- Retail A-share investors who want a watch-to-backtest loop in one conversation
- Quant learners who need multi-factor screening and strategy backtesting
- Windows users who rely on desktop alerts for watchlist moves
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