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Measures the total volume of futures and spot trading across leading exchanges.
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| Benchmark (Dogecoin) | Strategy | |
|---|---|---|
100% | 100% | |
100% | 100% | |
1.00 | 1.00 | |
100% | 100% | |
1.00 | 1.00 | |
1.00 | 1.00 |
To understand a predictive factors predictive power, we create a simple long-only 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 this factor with our transparent code snippets.
Copy and paste the code snippets below into your Python environment or download the files below.