Inspiration
The problem of impermanent loss stems from volatility.
Since the root cause of the problem is volatility, the idea is to build a solution that starts from volatility.
The hypothesis is – a solution designed around the root cause would more likely produce an architecture that is more readily generalisable to cover different assets, appetites and horizons.
What it does
Outputs horizon-based up & down swing predictions - enables you to scope an interval for range setting and risk sizing.
How we built it
Mainly Python and R.
Challenges we ran into
Need to figure out system architecture.
Accomplishments that we're proud of
80% accuracy in backtests.
What we learned
Model monitoring.
What's next for Analyrisk
More assets, more horizons.
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