How AIFI Protocol works

AIFI Protocol Vaults

Machine Learning

AIFI has undergone theoretical, testing, and concurrent training for nearly a year.

Model Design

For any AI model, the initial definition and ultimate determination of each set of input data are crucial for training the algorithm.

AIFI's machine learning team currently acquires data block by block and coin price data through one-minute feeds during modeling. This approach is driven by specific considerations:

- Different chains have varying update frequencies.

- Block-by-block APY data is quantifiable and encompasses numerous other metrics.

- One-minute token price data is crucial for selling native protocol tokens in a volatile market during farming operations.

Training AIFI to optimize yield farming efficiency.

Protocols often use their native tokens as rewards to boost their APYs. Live test was conducted on Stargate to showcase the competitive advantage gained as AIFI sells native token rewards.