what makes trading quantitative?
A quantitative approach uses measurable inputs and explicit rules rather than relying only on subjective judgement. Those rules might govern entries, exits, sizing, filters or how a strategy responds to market data.
what automation can help with
- Execute defined actions consistently when conditions are met.
- Reduce repetitive manual steps.
- Track activity and apply configured parameters.
- Support backtesting or strategy review where those features are available.
what it cannot guarantee
- Future market conditions will match historical data.
- Orders will always fill at the expected price.
- Fees, slippage and outages will not affect results.
- A strategy will remain profitable after conditions change.
evaluate a strategy responsibly
Understand the assumptions, data quality, fees, drawdown, capital exposure and conditions under which the strategy may fail. Treat backtests as one input, not proof of future performance.
automation is a tool
Risk management, monitoring and independent judgement still matter when a system can trade automatically.