LF-Decentralized-Trust-labs/veltoracore — reverse-engineered prompt

Build me a Python command line research tool called VeltoraCore for testing a liquidity optimization idea against historical Ethereum Uniswap data.

I want to give it an Alchemy Ethereum Mainnet key, a start block, an end block, and a block bin size. It should pull historical swaps and liquidity snapshots, group everything into time bins, calculate Uniswap style LP returns, then run the VeltoraCore solver on those bins and compare the results against Uniswap. Save the raw processed data so I don’t have to download it again unless I change the block range or bin size.

The output should be easy to inspect, with summary CSV and spreadsheet files showing per bin returns, cumulative returns, VeltoraCore versus Uniswap performance, filtered abnormal liquidity bins, and basic solver metrics. Please include sensible config defaults, clear setup steps for a virtual environment, and simple commands for running the historical data pipeline and then the simulation. Look up current docs online if needed.