What Is an LLM?
A Large Language Model is a neural network trained on vast text corpora to predict the next token in a sequence. That deceptively simple objective lets the model summarize, translate, reason, write code, and follow nuanced instructions when paired with rich context.
Why It Matters for Trading
- Synthesizes multi-source context (price, news, sessions) into a single read.
- Applies playbooks consistently — no fear, no FOMO, no fatigue.
- Explains the "why" of every setup in natural language.
- Adapts to any instrument with a single prompt swap.
How JENVU Uses LLMs
We deliberately keep the model on a short leash. It does not invent prices, news, or signals. It receives a structured payload of validated market context, then reasons within a strict institutional framework. Outputs are schema-bound so the UI can render entries, stops, and targets reliably.
Cost & Model Selection
JENVU defaults to a fast, low-cost flash-tier model for ongoing analysis and escalates to a stronger model on demand. This keeps response times under a second while preserving high-quality reasoning for complex setups.
Limitations
LLMs can hallucinate. That's why JENVU grounds every response in live data and surfaces an invalidation level — so you always know exactly where the idea is wrong, regardless of how confidently the model speaks.
Last updated · July 2026