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FinQuant

A multi-asset workbench for quant PMs · data · trade · backtest · risk loop

Web v0.1.0 2026-06-01

What it is

FinQuant is a multi-asset workbench for solo and small-firm quant PMs. One interface, one data pipeline, one backtest engine, covering bonds / equities / FX / derivatives / mixed portfolios — all five major asset classes. Self-hosted: data and strategy code stay on your own machine.

Core modules

  • Five asset classes, full loop each: bond / equity / fx / deriv / mixed — each ships its own /data /trade /backtest /risk sub-modules, no cross-asset bleed
  • Data layer: market / valuation / factor data unified ingestion, multi-source fallback; local ClickHouse / DuckDB storage, zero cloud dependency
  • Backtest engine: event-driven + vectorized dual mode, with a 42-case performance baseline; tick / daily / fill-level granularity
  • FX wizard: a 5-step GUI wizard — pick pair / pick strategy family (static / momentum / mean reversion) / set params / run backtest / see report — no code required
  • Risk: VaR / ES / stress / position limits, configured per asset class

Who it’s for

  • Solo quant PMs: you have your own strategy ideas, want a workbench for rapid validation, and refuse to upload strategy code to the cloud
  • Small-firm research desks: daily backtest reports / factor decay tracking / IC committee material, with a shared workbench that crosses asset classes
  • Quant PM beginners: an FX wizard and starter library — start from config-driven backtests, no need to write an engine from day one

FinQuant does not

  • Send real orders (no broker integration) — the workbench stops at backtest and simulation; real execution is your trading system’s job
  • Recommend strategies / publish factor rankings / run community leaderboards
  • Collect your strategy code, positions, or orders
  • Require online activation

Status

POC stage. All five asset classes have working /data + /trade + /backtest + /risk skeletons. FX wizard ships 3 strategy families (static / momentum / mean reversion). 114 smoke tests + 42 performance-baseline tests all green. Next: real FX data source integration + POC demo polish.

Tech stack

Python backend + Rust performance kernel (PyO3 bindings) + ClickHouse / DuckDB data layer + React frontend. uv workspace monorepo.

## 备案信息 / Filing
MIIT: <TBD>
## 链接 / Links
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