Hello, to all miners out there, especially those familiar with Explorer.
Given all the data available about failed systems at C2 as well as systems that are still performing well it would be great to mine Explorer data to look for any statistically significant difference between two sets of systems:
- stats of systems that ended up dying (i.e., their stats while they were still doing well)
- stats of systems that are still doing well
Are there early signals in the stats that may predict a future complete failure?
e.g., percentage win >90%, avg win much lower than avg loss, single trade DD > 20%, system age < 6 months, sharpe > 5, etc…
There are some many examples:
Has anyone ever tried to do that? If we could find some indicator able to predict systems with a higher probability of failure (and conversely those with higher probability of success) we would all be in a better place.