advanced-math-tradinginformation-causal
Information theory (entropy/MI/TE) and causal inference for trading signals.
8803 个 Skills
Information theory (entropy/MI/TE) and causal inference for trading signals.
Advanced optimization for trading: OCO, multi-objective, DRO, MIP, Bayesian opt, plus convex/Markowi
Signal processing, filtering/denoising, and math-driven feature engineering.
Monte Carlo, SDE simulation, Brownian/jump processes, discretization schemes.
This skill should be used when the user asks to "demonstrate advanced skill structure", "show compre
Advanced TypeScript types including generics, conditionals, and mapped types
Master TypeScript type-level programming with conditional types, mapped types, template literals, an
Room-based exploration with narrative evidence collection
Generate adversarial inputs, edge cases, and boundary test payloads for stress-testing LLM robustnes
Objects announce what they can do — The Sims style
Scoring and governance framework for managing reference customers and advocacy cohorts.
Use to identify, score, and prioritize customer advocates for programs.