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How much money do you need to start algorithmic trading?

Less than most people assume. Backtesting and paper trading cost nothing — you can validate strategies for months with zero capital. For live trading, the practical floor is set by share prices and sizing: with fractional shares, a few hundred dollars works; without them, you need roughly the price of a handful of shares of your chosen ETF. A common path is to allocate $500–$2,000 to a first live strategy — enough that results feel real, small enough that a full drawdown is tuition rather than tragedy. Platform costs matter more at small sizes: a $10/month subscription is 12% a year on a $1,000 account, so size accordingly.
Run your first strategy yourself — free →

Build it from blocks (or type it in English), backtest it on 5.5 years of minute data in seconds, tweak any parameter, then paper trade it on live data. No card, no broker needed to start.

Terms used here

Fractional SharesdefinitionPosition Sizingdefinition

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Backtests are hypothetical, computed by DeployQuant's engine on minute-resolution consolidated US market data (2021-01-04 to 2026-07-17, $10,000 starting capital, no margin, fees and slippage not modeled) and do not guarantee future results. Nothing on this page is investment advice. Live trading involves risk of loss.