A trading brain that reasons, backtests, and executes.
LiquidVenture.ai fuses a multi-agent research pipeline with Python-native, millisecond-grade order routing across QuantConnect and Interactive Brokers.
Strategies live
42
+6 this quarter
Order latency
3.2ms
median, IBKR route
Agents online
11
local + external
Sharpe (blended)
2.14
trailing 12m
Backtest vs. live, normalized to 100
Agent activity
- data-agentRestored 3,412 missing OHLCV bars · AAPL 2011–2013
- factor-agentIsolated MA(50) attribution — dropped default fallback
- exec-agentRouted 128 orders via IBKR · median 3.1ms
- risk-agentMOD3 exit triggered on SWING-07 · drawdown capped 2.4%
- research-agentParsed 47 analyst reports · 6 factor candidates flagged
Four systems, one engine
From raw data restoration to isolated-variable backtesting and live execution — every layer is decoupled and auditable.
Quant Execution
Python core with deep QuantConnect + Interactive Brokers integration for millisecond order routing.
AI Research Brain
Multi-agent workflows ingest research, clean and restore missing data, and mine factors automatically.
Strategy & Risk
Decoupled strategy library with pluggable exits like MOD3 and a statistical loss-analysis framework.
Isolated Testing
Strip multi-factor noise to attribute a single variable — no misleading default-parameter conclusions.