From Thesis to Execution.
Verified.
Agent Z implements your rules, reviews for live-killer bugs, validates performance, and monitors backtest-to-live parity.You approve every step.
You Retain Full Control
Agent Z proposes. You approve. A strictly gated workflow ensures nothing goes live without your sign-off.
name: "MeanReversion_BTC_1H" thesis: "Detect oversold conditions using RSI(14) < 30" risk_profile: "Conservative" max_drawdown: 5.0% targets: ["BTC-USD", "ETH-USD"]
Modules & Outputs
No black boxes. Each module produces a concrete, verifiable artifact for your review.
Spec Builder
Transforms plain English intents into rigorous, structured strategy requirements.
Implementation Engine
Generates type-safe Python strategy code and configuration files.
Safety Review
Static analysis for logic errors, look-ahead bias, and overfitting risks.
Parity Validator
Compares backtest signals vs. live execution environment to detect drift.
Live Monitor
Real-time surveillance of execution quality and PnL deviation.
Export Compatible
All generated code and reports can be exported as standard files. You own the IP.
The Paradigm Shift
We didn't just make it faster. We reinvented the workflow.
The Silent Killers
Why most strategies fail in live execution:
- Look-ahead bias in backtests
- Execution timing mismatches
- Data leaks (Future leakage)
- Unverified assumptions
Engineered Safety
Designed to catch specific failure modes:
- Automated Bias Detection
- Live vs Backtest Parity Checks
- Warmup / NaN Handling
- Strict Execution Drift Alerts
We Catch Barriers
Before You Lose Money.
70% of algorithmic strategies fail in live markets due to subtle bugs like look-ahead bias. Our platform is the only one with a dedicated AI Reviewer trained to catch them.
Look-Ahead Bias Detection
Prevents strategies from using future data during backtests.
Parity Validation
Guarantees that your live trading execution matches your backtest logic 100%.
Ready to Automate Your Edge?
Build, validate, and deploy institutional-grade strategies with full control.