The debate between algorithmic and human trading is not new, but it is more relevant than ever in a market where data is abundant and execution speed matters. This article compares the core advantages and blind spots of each approach.
What AI Does Better
- Speed: AI systems can process news, price feeds, and market signals in milliseconds.
- Consistency: Algorithms follow rules without emotional drawdowns or panic selling.
- Scale: AI can monitor thousands of tickers and signal sets simultaneously.
What Humans Still Control
- Context: Experienced traders can interpret nuanced corporate disclosures and sector narratives.
- Judgement: Humans can pause or rerate a thesis based on macro news that does not fit model assumptions.
- Execution in illiquid names: Human traders often judge order placement better in low-volume small-caps.
Best Case: Hybrid Decision-Making
The strongest trading systems blend AI signals with human oversight. Use AI for signal generation and stress testing, then apply discretionary judgement on strategy sizing and event-driven risk.
How We Use It at MicroStocks
MicroStocks uses AI to surface candidate stocks, calculate conviction scores, and flag risk signals, while research analysts validate the thesis and monitor execution risk for illiquid names.