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Using Bitcoin and Ethereum Metrics to Build Trading Signals

Article Amberdata research
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Summary

This webinar overview introduces several Bitcoin and Ethereum measures that researchers might turn into trading signals. It groups them into market-cycle or valuation indicators, including Pi Cycle, Realized Cap, and the Bitcoin Yardstick; sentiment measures such as net unrealized profit and loss and monthly HODL net position change; and network activity data, including new-address momentum and daily address activity. It also mentions Ethereum validator activity after the Merge.

The material is a high-level account of a panel discussion, not a detailed strategy specification. It names possible inputs and says they were discussed as aids to trading decisions, but supplies no definitions, thresholds, entry or exit rules, backtest, or performance evidence. Applying these measures would require further research into their construction, timing, and behavior across market conditions. The summary also points readers to supporting materials, but the text itself does not establish that any signal is predictive or reliable.

Key ideas

  • The discussion covers valuation and cycle indicators such as Realized Cap and the Bitcoin Yardstick.
  • It presents unrealized profit and loss and holder position changes as sentiment measures.
  • Wallet activity and Ethereum validator activity are among the network metrics discussed.
  • The overview provides no signal thresholds, trading rules, or empirical performance results.

Tags

CryptoOn-chain dataSentimentStatistics

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.