AllenCX/dsh-quant-workspace
DSH plugin bridging a local low-frequent-quant engine: single-ticker signal card
dsh-quant-workspace is a self-contained quant research workspace that ships a Python engine inside the package: it fetches Yahoo Finance daily bars (2 years by default) with OHLCV + indicator export, backtests rule-based strategies into a per-trade table with total return, max drawdown, win rate, average hold and a buy-and-hold baseline, and generates self-contained interactive HTML charts (candlesticks with bands and entry/exit markers, volume, %B, equity curve) that zoom, pan and toggle red-up/green-down with no dependencies. A strategy registry saves researched strategies for reuse by id. It is read-only by design — no orders, no position changes, no market-data keys — and explicitly not investment advice.
Install
dsh plugin --profile web add github:AllenCX/dsh-quant-workspaceREADME EN primary verified 2026-09-02 (repo AllenCX/dsh-quant-workspace). npm dsh-quant-workspace 404 verified — the README states it is not yet published and documents the git spec: dsh plugin --profile web add github:AllenCX/dsh-quant-workspace (the bare npm form in its code block is labeled for after publication). Requires a DSH web profile with pnpm and uv (first use syncs the bundled python/.venv). All configuration is optional; defaults: reportsDir $DSH_HOME/dsh-quant-workspace/reports, registryPath .../strategies.json, timeoutMs 180000.
Compatibility
DSH web profile with pnpm; uv (bundled Python engine); internet access for Yahoo Finance data; read-only by design.
Details
- Repo: AllenCX/dsh-quant-workspace
- Category: Other
- Stars: 1
- Version: git github:AllenCX/dsh-quant-workspace
- Last push: 2026-08-14
- First seen: 2026-08-14
Recent updates
Yahoo Finance daily data; rule backtests (return/drawdown/win rate/hold + baseline); interactive HTML charts; strategy registry; read-only, uv-managed Python engine.
FAQ
- Does it place trades?
- No — read-only by design: no orders, no position changes, and no market-data keys. It surfaces rule state and evidence only.
- Where does the data come from?
- Yahoo Finance daily bars (2 years by default) over the internet; results export OHLCV + indicators.
- What do I need to run it?
- A DSH web profile with pnpm, uv (first use syncs the bundled python/.venv), and internet access for market data.