How Good Are LLMs at Sentiment Scoring?
We find that open-weight models, especially in an ensemble, approach frontier models’ performance. As with labeling, sentiment scoring is now…
We find that open-weight models, especially in an ensemble, approach frontier models’ performance. As with labeling, sentiment scoring is now…
Benchmarking open-weight LLMs for alt data pipelines
For data to be marketable to investors, it usually must be mapped to asset-level identifiers, commonly known as tickers. An…
A new benchmark, Look-Ahead-Bench, shows that LLM-based investment strategies can generate spectacular in-sample alpha that collapses once the test window…
When quant investors encounter a new dataset, one of the first questions they ask is whether the data is “point-in-time”…
A tale of two data vendors Imagine two companies go into business selling data to hedge funds. Both analyze satellite…