Can Language Models Learn to Forecast Stock Prices
Results show that post-training can substantially improve financial forecasting performance, together with changes in how the model investigates the market, on this outcome-selected benchmark.
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Results show that post-training can substantially improve financial forecasting performance, together with changes in how the model investigates the market, on this outcome-selected benchmark.
Executable families support repeatable benchmark renewal, with validation improving task quality and selection shaping the delivered challenge, with validation improving task quality and selection shaping the delivered challenge.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.