Predictive Strength
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Predictive Strength
Measures interest in the asset by tracking the number of mentions on Youtube.
YouTube metrics (views/subscribers) act as a real-time gauge of retail participation – historically the last cohort to enter rallies and first to panic during corrections. Delphi Digital's analysis shows spikes in crypto YouTube engagement consistently marked cycle tops (e.g., early 2021 BTC peak), while suppressed metrics during 2023-2025 suggest latent retail capital yet to deploy.
YouTube mentions data is tracking public video titles, descriptions, and comments of cryptocurrency-related channels, with counts normalized against historical averages to measure relative interest levels.
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To understand a predictive factors predictive power, we create a simple long/short strategy and simulate its past performance (with daily rebalancing):
The strategy is rebalanced daily, on a continuous basis. There are 0.5% transaction costs applied on each position adjustment.
Get started by validating the historical performance of the strategy with our transparent code snippets.
Copy and paste the code snippets below into your Python environment or download the files below.