dsh-bayes-predict: Estimating Individual Stock Rise Probability Using Bayes' Theorem in DSH

In DSH (DeepSeek Harness), when an agent analyzes a stock, it typically yields only a qualitative description. To determine the probability of a rise within the next N days, assess the current trend, or gauge the risk of holding the position, one must either run a separate quantitative script or switch to market software to manually track indicators. dsh-bayes-predict turns this into a DSH plugin: centered on the Bayesian theorem, it fuses multiple technical indicators into a posterior probability estimate for a "rise within N days" and outputs the results directly via two entry points: the chat interface and the browser panel. The following sections introduce its positioning, core features, and installation instructions. dsh-bayes-predict is a DSH individual stock prediction plugin based on the Bayesian theorem.