🧭AI Indicators

Selection for Strategy Complementarity

Each agent strategy can be complemented by a curated set of AI indicators derived from on-chain, off-chain, and social data sources. These indicators focus on contextual and behavioral signals that complement traditional technical metrics.

AI indicators are typically used to enrich strategies with contextual signals such as sentiment, fundamentals, or network activity that are not captured by price or volume alone.

At present, AI indicators are available as a predefined set, carefully selected to maximize strategy complementarity. Support for user-defined and customizable indicators is actively under development.

AI indicators are most effective when used to filter, confirm, or contextualize signals generated by deterministic strategies, rather than as standalone decision mechanisms.

Indicators feature data collected across multiple categories, including:

• Fundamentals

• News & Sentiment

• Market Sentiment

• Market Structure

• On-Chain Metrics

• Trading Metrics

• DeFi Metrics

• Macro & Liquidity

• Social & Community

• Developer Activity

• Competitive Analysis

• Risk Metrics

Users interested in contributing or integrating custom AI indicators should contact the team through official communication channels.