Your strategy.
Your AI trading robot.
Describe an idea, review clear trading rules, and test your assumptions before considering live execution.
One idea, a testable set of rules
Define the market, timeframe, entry and exit conditions, position size and risk limits. AI can help express the idea; a human still needs to review the assumptions and implementation.
Idea
Describe the market behavior you want to test and the conditions your strategy should respond to.
Rules
Review entry and exit logic, position sizing and risk limits before testing the strategy.
Backtest
Evaluate historical behavior with fees and execution assumptions. Historical results do not predict future returns.
Paper
Observe simulated orders on incoming market data. Simulated fills do not reproduce every condition of live execution.
Launch
Check account permissions, capital limits and stop conditions before considering live execution.
Analytics
Review trades, exposure, fees and execution errors against the strategy’s rules.
Make the next test more useful
Start with clear rules, include trading costs, and understand what each testing mode can tell you.
- How to define an AI trading strategy: rules and risk
- Strategy backtesting: fees, drawdown and validation
- Paper trading vs backtesting vs live trading
Local demonstration · No live orders