Architecture Differences: Trading Bots vs. AI Agents Explained
Money_Horror_2899 · reddit · 2026-08-05
As AI grows in popularity, 'trading bots' and 'trading agents' are often used interchangeably, but they have fundamental architectural differences. The core distinction lies in where the decision logic resides:
- Bot: Logic is pre-written in code (e.g., if RSI bullish:). It is deterministic, easy to backtest, and cheap to run, but can only handle anticipated scenarios.
- Agent: Logic is dynamically generated by the LLM at runtime. It possesses four components: perception, reasoning, action, and loop. It can understand fuzzy goals (like 'monitor drawdown and analyze macro factors'), making it suitable for multi-step tasks requiring qualitative interpretation.
The author notes that agents are non-deterministic, making them hard to backtest and expensive. Thus, agents don't replace bots; the choice depends on the task's determinism, latency, and fuzziness. Borrowing from autonomous driving, the author classifies trading agent autonomy from L0 to L4, recommending most users stay at L1 (analysis only) or L2 (requires human approval).
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