Following several months of sideways price action, Bitcoin has experienced its deepest correction since late 2022, trading below the 200DMA, and putting a significant number of Short-Term Holders into an unrealized loss.

Learn about how to apply our new suite of metrics to better identify local bottoms in a bull market and start applying these insights in your trading strategies.

The third part of our Glassnode Spotlights series, presenting the most interesting and actionable insights from the Coinbase x Glassnode Q2 Guide to Crypto Markets, explores Ethereum's Evolving Ecosystem - Staking, DeFi, and Derivative Markets.

Learn about our new suite of metrics and its benefits for your analysis of the digital asset market and applicability to your trading strategies.

The fourth Bitcoin Halving has occurred, leading to a 50% reduction in supply inflation and an inherent increase in issuance scarcity. In this edition, we explore the evolution of the Bitcoin network across Epochs with respect to price performance, and fundamental network metrics.

Bitcoin has broken to its fourth cycle all-time-high, rallying above $72k, and pushing sentiment one step closer to Euphoria. The classic wealth transfer from the HODLer cohort to speculators is now well underway, with significant upticks in spot profit taking, and demand for futures leverage.

In our March 2024 Finance Bridge we explore Bitcoin's new ATH, key volatility drivers, speculative asset interest, & ETF effects. Includes BTC halving insights & an update on Glassnode's recent momentum & risk frameworks.

With strong market momentum following the Bitcoin spot ETFs, several indicators are hinting at early signs of investor capital moving out on the risk curve. In this piece, we explore how capital starts to rotate through assets, by tracking asset performance, TVL, and trade volumes on DEXs.

Bitcoin investors have been rewarded for their patience and conviction, with BTC prices rallying to multi-year highs above $50k. The volume of supply held at a loss is also thinning quickly, with just 13% falling into this category.

Discover how Glassnode's Data Science team used a machine learning algorithm to identify on-chain metrics with the most predictive power and subsequently used them to create a successful quantitative trading strategy.