dsh-trading — AI Trading Terminal for Crypto & Stocks

当前状态与交接：见 docs/current-state.md（已验收项、必须知道的 fail-closed 不变量、未完成与硬停、验证命令、文档地图）。

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DSH Trading (dsh-trading) is an AI trading terminal built on DeepSeek Harness (DSH) for cryptocurrency, US equities, China A-shares and Hong Kong stocks. It brings market data, technical analysis, AI-assisted investment research and human-approved order execution into one modular workspace. Orders default to dry-run simulation; live trading requires explicit opt-in and approval.

Quick start · Features · Supported markets · FAQ · Documentation

Your next trading terminal can also be your AI agent. No chumps for the slaughter, just everyday traders.

Features

• Multi-market research: follow crypto and stocks in one watchlist, with quotes, news, announcements and fundamentals from configured providers.
• Technical analysis: candlestick charts, MA / EMA / MACD / RSI indicators, order books and crypto derivatives data.
• AI trading agents: coordinate research, trading plans and risk review; name a symbol and the agent pulls its quotes, news, disclosures and fundamentals with native tools.
• Strategy backtesting: evaluate historical trading signals with strategy_backtest alongside the bundled strategy playbooks; past performance does not predict future returns.
• Controlled execution: dry-run by default, optional paper trading through supported connectors, and human approval for live orders.

First, a question for you:

Of the money you've lost trading, how much of it was lost before you had truly thought it through?

You chase a rally and become the exit liquidity. You buy the dip, and it keeps dipping. You cut the loss, and it bounces the moment you're out; you hold, and it grinds you into the deep red. (Veterans don't always dodge these either.)

Where does the problem lie? Not in luck. In discipline.

The market opens every day, and bulls and bears fight it out every day. The most dependable weapon a retail trader holds was never better information — it's discipline. A seasoned hunter waits nine-tenths of the time and strikes in the remaining tenth; most traders do the exact opposite — nine-tenths acting, one-tenth regretting.

That is why dsh-trading exists: an agent-native trading terminal built on DeepSeek Harness (DSH). A professional trading workflow, paired with an AI agent in sync with the market: quotes, news, and capital flow are all in its view; research follows institutional-grade playbooks; and before a real order goes out, every single one passes an approval gate that only your hand can click.

Crypto, US equities, China A-shares, Hong Kong stocks. One terminal. One agent. Nineteen-plus connectors. Zero vendor lock-in — every key stays on your machine.

What does agent-native mean?

What do most "AI trading tools" look like? A chat box glued to the side of the chart.

Glued on, not grown in.

dsh-trading turns that relationship upside down: the agent is a first-class citizen of the terminal, and the terminal is the agent's body. Four things separate it from every chatbot you've used:

1. Quotes, news, capital flow — the agent has it all. Live quotes, the current candle, the chart series' time range with a fetch locator (so the agent pulls the same routed data itself and analyzes it in code), the computed readings of your active indicators, derivatives snapshots, plus announcements, news and a bounded fundamentals summary — all native tools the agent drives for the symbol you're watching. Missing sources are explicit; the agent is guided to verify original disclosures and fill gaps with native research tools. No more screenshot-copy-paste ritual.

2. The agent can trade, but the gate is in your hands. Market data, order books, derivatives positioning, news, and order placement are all native tools. Yet every order defaults to dry-run simulation; live routing requires an explicit liveTrading: true opt-in, and then each order still passes through interactive human approval. In headless environments it fails closed. One rule: no move without the gate. Nothing executes behind your back.

3. The agent trained for this. Domain knowledge ships as bundled skills, not model improvisation: pre-trade risk checklists for every market (crypto · US · CN · HK), a five-step crypto instrument analysis framework, a full company analysis playbook, and a trading journal discipline that dual-tracks "what the agent did" versus "what you did" — append-only and auditable.

The risk checklist runs before every entry — a discipline most veterans never sustain in ten years (usually undone by "just this once").

4. One master leading a role-based team. master (大师) is the all-capable multi-agent team lead: it grounds every trade question in the unified holdings ledger (holdings_list / holdings_stage) and per-market balance tools, pulls the user knowledge base first, then decomposes the task and delegates specialist work to persona-pinned subagents — instrument analysis to the researcher (researcher_subagent), trading-plan drafting to the trader (trader_subagent), plan review to the risk reviewer (risk_reviewer_subagent) — dispatching project skills by task type (analysis frameworks, market risk checklists, strategy paradigms with strategy_backtest, dynamic packages for one-off cross-instrument aggregation) before cross-checking and integrating a single conclusion. Cross-market overviews and order execution it can do itself, still dry-run by default behind the approval gate; delegates deliver analysis text only — execution stays with the master behind the gate. Beneath it: trader (交易员) for trading plans and gated execution, instrument-researcher (标的分析研究员) for disclosures, fundamentals and valuation, risk-reviewer (风险审查员) for exposure, stress scenarios and rejection conditions. Every role prioritizes project knowledge, news/announcements and fundamentals tools. Research and risk retain read-only quotes/candles but mount no order/cancel connectors; subagents inherit the session toolset with a persona pinning their duties — shared host tools remain visible, so role scoping is not a separate security sandbox.

The base installer generates these four roles from enabled market bundles, including partial-market installations; the deployment default for new sessions is 大师 (master) — overridable per user in settings. Unmodified managed legacy market presets move to a sibling .legacy-backup root; custom, unstamped or extended directories remain untouched. No user preset data is deleted.

The terminal itself must be real software first

A shoddy terminal makes even the smartest agent an armchair general.

• Center-stage charting. Lightweight Charts v5 with multi-timeframe switching (5m to weekly); MA / EMA / BOLL / MACD / RSI / KDJ / SuperTrend, all visually editable; strategy signal markers, knowledge-event pins, and drag-to-measure range statistics.
• Real market depth. Live order book with buy/sell pressure bars, tick-by-tick trades, and a derivatives cockpit — open interest, funding rates with settlement countdown, long/short ratio, taker flow. Quote and fund-flow data are native tools the agent queries on demand.
• Cross-market watchlist. Crypto perps next to AAPL next to 牧原股份, with sparklines and real-time quotes. Your whole risk universe in one dock.

The operations surface is built in

• Usage statistics. DSH's built-in Performance & Usage settings surface each session's live token stream and spend, resolved host-side so credentials never reach the browser.
• Plugin manager. The Plugins section gains a manager tab: install from an npm spec or a git URL, flip next-start enablement, check and apply verified updates (gated on each package's declared minimum DSH version), roll back conflicting installs, and hand failures to a repair conversation. Writes are loopback-only and ride the official CLI; the desktop build ships a dsh shim so this works without a global install.
• Per-model capability declarations. Every custom llm-pi-ai provider card carries a capability area: declare image input and reasoning efforts per model (including the exact wire value each level sends), or archive a provider to take its route down without touching its stored keys.

One terminal, every market

**Ho