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Measures the development effort of a project by counting the number of commits, merges, and lines of code added or removed from the codebase.
Active development correlates strongly with future protocol improvements and ecosystem expansion. Chains with sustained developer activity (measured by commits, unique contributors, and codebase complexity) tend to deploy upgrades that drive user adoption.
Development Effort is calculated by tracking codebase activity metrics such as commit frequency, merge events and issues. These metrics are sourced from version control systems like GitHub, then normalized against historical averages to assess current development intensity relative to past activity.
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| Benchmark (Ethereum Classic) | Strategy | |
|---|---|---|
100% | 100% | |
100% | 100% | |
1.00 | 1.00 | |
100% | 100% | |
1.00 | 1.00 | |
1.00 | 1.00 |
Predictive factors are designed to be translated into simple long-only strategy, with simulated past performance:
The strategy is rebalanced daily, on a continuous basis. There are 0.5% transaction costs applied on each position adjustment.
Get started by replicating the historical performance with our code snippets.