John Bones
12 posts




Bloomberg paid Man Group to license this database. It's been sitting on GitHub for free the whole time. Man Group manages $228B in assets. Their engineers built ArcticDB to store and query billions of rows of time-series data - the kind of data that powers quantitative trading at scale. Bloomberg thought it was valuable enough to pay for. You can pip install it right now. > What it actually does: Pandas in, Pandas out. Write a DataFrame to S3 or local disk, read it back instantly. No server. No infrastructure. No DevOps. 20 years of data on 400,000+ securities in a single symbol. It handles what CSV files and regular databases collapse under. Time travel built in. Roll back to any previous version of your data. If yesterday's backtest used different data than today's - you can see exactly what changed. Schemaless. Append, update, modify without touching a schema definition. For anyone who's spent hours migrating database schemas - this matters. The C++ engine handles compression and concurrency under the hood. You never leave Python. For quant research, backtesting, Polymarket data analysis, or any project where you're storing time-series at scale - this is the tool hedge funds actually use internally. Versions up to 4.2 already converted to Apache 2.0. Fully free, no restrictions. github.com/man-group/Arct…





My thoughts on how private credit mangers can rebuild investor confidence in this weekend's @barronsonline: First, they should cut fees: "A lower fee structure would go a long way toward improving managers’ standing with investors". Investors will return to the asset class if returns are higher. The easiest way to accomplish that is to allocate more of the return to clients. Second, repurchase shares of their listed BDCs at a material discount to NAV, as it is highly accretive: “How in good conscience can managers underwrite new loans at 8% or 9% when their stocks yield 13%?” Lastly, some advice for allocators: "Stay out of the nontraded BDCs", because you are mainly serving as exit liquidity.









