Datasets
- ETH/BTC - Traditional Fund
- Layer 2 Token Fund - Scaling Fund?
- OP
- ARB
- STARK
- MATIC
- METIS
- LRC
- BLAST
- MNT
- IMX
- DYDX
- RWA Token Fund
- Use private loans csv, w/ commodities prices and any other RWA price feed can get?
- Create index for each private pool consisting of the various loans?
- Reconstruct the loan by loan_id and the interest rate - compound x deposit by y interest rate for the term of the loan
- Separate between open end and close ended
- Train model on historical loans; individual loans or a loan index?
- For the test net assets, we take a mean/median rate as a hypothetical, by pool, and apply that? So we say the maple pool, centrifuge pool, etc, and the USdc just grows at the mean/median interest rate?
- Use private loans csv, w/ commodities prices and any other RWA price feed can get?
See also: RWA Financial Model | Tokenomics | Optimizer Finance DAO