Start with an idea
Use AI to create and backtest a strategy
AI Strategy Workbench
Turn a strategy idea into an executable plan with unified data, backtesting, and strategy tools.
How the Workbench Works
From a strategy idea to a running deployment — a preview of the workbench's core flow.
Describe the strategy
Describe your market views or trading logic in natural language.
AI-generated configuration proposal
AI structures ideas into backtestable strategy configurations for you to confirm and fine-tune.
Backtest Verification
One-click backtesting to view returns, retracement, Sharpe and trade-by-trade, and iteratively optimize.
Paper trading / live deployment
Deploy a validated strategy to paper trading for continuous tracking, or connect it to run live.
Microsecond execution to reduce strategy return erosion
From market data intake and strategy calculation to order submission, the full trading path is optimized for low latency to reduce slippage and missed opportunities caused by system delays.
In-architecture Tick-to-Trade
<10μs
CEX Perpetual Futures (incl. Colo)
- Ticker P50
- ≈1000μs
- Order → Ack P50
- ≈800μs
CEX Spot
- Ticker
- <300μs
- Order → Ack
- <600μs
Fast research in Python, high-performance execution in C++
Research and backtest in Python, then use AI-assisted migration to move mature strategies to C++, reducing duplicate development and reaching live-grade execution performance faster.
research.pyPython
Rapid research
AI
Assisted conversion
production.cppC++
Production execution
Multi-exchange and data connectivity to extend strategy coverage
Connect to multiple exchanges through normalized interfaces and access historical data across high- and low-frequency granularities for cross-market trading, strategy research, and backtesting.
Venues and connections
Binance
UMX
Bybit
OKX
Bitget
Hyperliquid
Tiger
PM.finance
Data types
DepthTickTradeFunding RateKlinePremium Index
One codebase for backtest validation and live execution
Backtesting and live trading use the same interfaces, so code that passes backtesting can move quickly into paper and live trading with almost no changes.
Strategy CodeBacktest Verification
Live execution
Choose the connection path that fits you
I have an established strategy
Connect data, backtesting, and trading capabilities as needed