WonderTrader
WonderTrader——量化研发交易一站式框架 observed · 2026-08-28
Health v2 · maintenance only
52/100
- Activity 44
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2347
- days_rel: n/a
- days_push: 337
- n_releases_24m: 0
Adoption not part of the score
6297 stars · 1185 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
WonderTrader is a high-performance C++-core quantitative trading framework covering the full lifecycle from data ingestion and backtesting to live trading and operations, with a Python sub-framework (wtpy). It provides multiple trading engines (CTA, SEL, HFT, UFT) with latencies down to ~200 nanoseconds for ultra-low-latency strategies.
Use cases
- backtest CTA trading strategies
- run high-frequency trading strategies with low latency
- manage multi-account portfolio execution for quant funds
- build a local market data service with real-time broadcast
- develop Python quant strategies with wtpy
- implement risk controls for trading portfolios
- multi-factor stock selection strategy execution
When to choose
- you need a production-grade quant trading platform covering research, backtesting, and live trading in one system
- you require ultra-low-latency execution (microsecond to nanosecond level)
- you manage institutional-scale portfolios across multiple accounts and channels
- you want both C++ and Python strategy development with a unified backtest engine
When to avoid
- you only need simple retail bot trading on crypto exchanges with minimal setup
- you want a pure Python research-only backtesting library
- you cannot operate Windows/Linux servers or self-hosted infrastructure
- your strategies target markets without available gateway connectors
Facets
framework · maturity active
trading streaming monitoring data-science fintech windows cpp python quant cta hft algotrading backtesting market-data risk-management wtpy low-latency quantitative-trading algorithmic-trading high-frequency-trading linux
2 sources
- readme: https://github.com/wondertrader/wondertrader · fetched 2026-08-28 · a0eb251364d7
- registry_pypi: https://pypi.org/pypi/wtpy/json · fetched 2026-08-29 · a376db334845
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| wondertrader/wondertrader | main | 52 |
| wondertrader/wtpy | sdk | 48 |
For agents
markdown · JSON · MCP: product_card(name="wondertrader/wondertrader")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem