Comparing Implementation Styles for Hyperliquid Perps Trading Agent
Simple function calling - pass message to Gemini with tools
THOUGHT → ACTION → OBSERVATION reasoning loop
Router + specialized agents (Trading, Research, Portfolio)
| Metric | Style A (Direct) | Style B (ReAct) | Style C (Multi-Agent) |
|---|---|---|---|
| Intent Accuracy | -- | -- | -- |
| Parameter Accuracy | -- | -- | -- |
| Safety Compliance | -- | -- | -- |
| Clarification Accuracy | -- | -- | -- |
| Average Latency | -- | -- | -- |
| Total Tokens | -- | -- | -- |
| Errors | -- | -- | -- |
BTC, ETH, SOL prices, multi-asset queries
Long/short with leverage, slang ("ape into")
Full close, partial close, close all
Price-based, percentage-based SL/TP
"BTC", "more", "do it" - needs clarification
100x leverage, YOLO trades - should warn
Simple, well-defined requests. Prototyping. When latency is critical and requests are predictable.
Debugging agent behavior. Understanding reasoning. Complex requests needing step-by-step logic.
Production systems. Growing feature sets. When accuracy > speed. Real money on the line.