Finance Industry Solution
11AI investment advisorsMulti-perspective
30+Backtest metrics
3157+Test casesVitest
1-3 daysStrategy go-live
Who it's for
Who uses it
Brokerage proprietary trading
Proprietary / client A-share quant trading.
Asset managers
Strategy research and portfolio management.
Fintech
AI advisory products.
Family offices / professional investors
Personal strategy research and backtesting.
Core components
Product stack
Data flow
Reference architecture
From natural-language strategies to live trading — analysts describe the idea, the AI implements the code.
graph TB; A[Analyst / PM] -->|Describe strategy in natural language| B[Lucrum<br/>11 AI investment advisors]; B -->|vnpy code + backtest| C[Strategy marketplace]; C -->|Subscribe / revenue share| D[Live trading] Compliance
Compliance highlights
Data stays onshore
On-premises deployment; trading data persisted locally.
Financial-grade precision
Decimal.js end to end, validated by 3,157 Vitest cases.
End-to-end auditing
Every strategy change, backtest, and trade leaves a trail.
Identity compliance
Enforced MFA, periodic PAT rotation, and SSO federation to your in-house IdP.
Cost
TCO reference
| Item | In-house build | Lucrum solution |
|---|---|---|
| Researchers | 3-5 people | 1-2 people + AI advisors |
| Strategy go-live cycle | 2-4 weeks | 1-3 days |
| Backtest infrastructure | Build your own | Built in |