Following our observations about LLM behavior in technical analysis, a critical question emerges: How do we systematically detect when an LLM is confidently wrong or producing nonsensical analysis? This post explores the tools and approaches available for this challenge.
While implementing large language models for technical analysis and market reasoning, we've discovered several fascinating insights about how these models process and reason about market data. These findings challenge common assumptions about temperature settings and prompt engineering, while offering practical solutions for more reliable analysis.
ATLAS (AI Trading Logic and Analysis System) represents a new approach to algorithmic trading by combining traditional technical analysis with modern AI capabilities. Unlike conventional trading systems that rely solely on predefined rules or indicators, ATLAS leverages large language models to provide contextual, adaptive trading strategies while maintaining the rigor of systematic trading.
Opinionated guide on how to setup the development environment on a laptop.
This week in the realm of code, our hero embarked on an epic quest, forging powerful alliances between AI and trading systems, strengthening the foundations of our digital fortress, and expanding the chronicles of knowledge. Here's how the saga unfolded…