Alphalab reveals Bitcoin strategy based on 30-day RSI

Bitcoin: Bitcoin is the pioneering decentralized cryptocurrency that functions as a digital store of value and medium of exchange within global crypto markets. Recent analyses continue to apply on-chain metrics, including profit indicators, to evaluate its market dynamics and potential trading signals. The news presents a backtesting-derived rule specifically tailored to Bitcoin using the 30-day RSI of entities in profit. alphalab: Alphalab, also known as Glassnode Alpha Lab, is a quantitative research platform that employs machine learning to uncover simple, human-readable trading heuristics from on-chain, spot, and derivatives data. It allows users to define objectives like identifying buying opportunities and generates validated rules with supporting evidence. The news directly showcases one of its outputs: a Bitcoin strategy based on the 30-day RSI of entities in profit. Product: Alpha Lab automates the search for interpretable trading rules by scanning Glassnode metrics and applying walk-forward validation to prioritize human-readable conditions. Integration: Recent enhancements allow AI agents to connect directly to the backtesting engine for goal-driven strategy testing using the platform's data. Strategy Development: The platform supports discovery of rules that combine metrics such as entities in profit with indicators like RSI, enabling systematic evaluation of Bitcoin trading approaches.