Rentec uses machine learning, but more importantly the firm curates massive amounts of high-signal data. The most significant part of their work lies in process automation and the rapid testing of hypotheses, which empowers the optimal use of mind-numbing amounts of data that most other firms simply can't take advantage of. Very early on their success was due (in part) to the willingness of Simons et al to use correlations in disparate datasets which could be proven but which didn't really make sense, and which wouldn't be explained by anything intuitive.
In other words, Rentec is not just pointing machine learning models at data, they're investing in a very robust data processing pipeline. Everything before the analysis is just as important as the analysis at funds like theirs.
In other words, Rentec is not just pointing machine learning models at data, they're investing in a very robust data processing pipeline. Everything before the analysis is just as important as the analysis at funds like theirs.