Say it in your own words.
Describe your entry, exit and sizing ideas. AI turns them into explicit strategy rules for you to review and refine.
Build crypto trading bots with AI. Backtest against history. Paper-trade in real time. Then connect your exchange and trade with one subaccount per strategy.
No code to get started. Clear rules you can inspect.
“Buy the strongest crypto when momentum is positive. Move to cash when it fades.”
A good idea is a starting point. Find out how it behaves before putting money behind it.
Describe your entry, exit and sizing ideas. AI turns them into explicit strategy rules for you to review and refine.
Compare returns with BTC buy-and-hold. Inspect drawdown, trading costs and individual trades across separate training and evaluation periods.
Run the frozen rules against live prices with simulated capital. Follow positions, decisions and performance without funding an exchange account.
Connect to an exchange and run the same rules with real capital. Give each strategy its own subaccount to keep balances, positions and results separate.
AI helps you build the rules. A deterministic bot follows them. See why a trade happened, which version made it, and what it cost.
Explore the Strategy LabIs 20-day momentum positive?
Select the strongest qualifying asset.
Target 80% exposure. Keep the rest in cash.
Keep your strategy at the center, from your first paper test to exchange execution and chart-based workflows.
Connect Bybit execution with a separate subaccount for each strategy. Track its capital and positions alongside its paper test.
Exchange execution · subaccountsBring your rules to a Binance account and use subaccounts to separate strategies where your account supports them.
Exchange execution · account controlsUse Pine Script and alert-based workflows to carry a compatible strategy into TradingView and connect signals to execution.
Pine Script · alertsExchange access and subaccount availability depend on your account and region. TradingView provides charts and signals; execution happens on a connected exchange. Live fills can differ from simulations.
A momentum rotation? A trend filter? A way to sit out weaker markets? Start with a hypothesis and put it to work.
No. AI helps turn your idea into a strategy. Once launched, a deterministic bot follows the saved rules. You can inspect those rules and the decisions they produce.
Start with a plain-language idea or a preset, then review and adjust the generated settings. The Strategy Lab shows which rules it can represent before you save a version.
Look beyond the headline return. Compare against BTC over the same dates, inspect maximum drawdown and costs, and check performance on a period you did not use to tune the strategy. Then forward-test with paper money.
No. Paper tests use simulated capital and live market data. An exchange account is only needed for exchange execution.
Not exactly. Spreads, slippage, funding, minimum order sizes and execution timing can change results. A profitable backtest is not a guarantee of profitable live trading.
No predictions. A process you can measure.