DeepBalancer - smart investment strategies across DeFi using Deep Learning
wanted to share my project with the community for input/feedback/critique/suggestions!
The basic idea of DeepBalancer (https://deepbalancer.xyz) is developing Deep Learning powered strategies for investing in DeFi across multiple protocols.
It’s currently not trivial to come up with optimal investment strategies. From my experience, the journey looks like as follows:
- One starts crypto investing with tokens (normally BTC, ETH and some combination of other tokens)
- Crypto is too volatile, so let’s change to a even more diversified approach (more tokens and/or indices, like Makkara or some easy to use index-provider)
- Let’s go to DeFi, there we can access nice yield farming opportunities (like Curve or so on) - however still very volatile and hard to get a robust crypto exposure also involving stablecoins (that act as a kind of insurance or “bond” in TradFi)
The question of “how can I easily achieve an optimal asset allocation strategy for my risk-profile in an easy way?” remains largely unanswared, and that’s what DeepBalancer is trying to solve.