quantum-distribution-generator

This Skill generates random samples from probability distributions by supporting exponential, Poisson, binomial, beta, and gamma sampling using quantum or pseudo-random sources for Monte Carlo simulations.

A multi-dimensional random walk simulates sequential random steps across multiple variables for statistical modeling. This Skill supports generating these walks to assess potential risks like market price movements.

Yes, you can use quantum random sources instead of pseudo-random generators. This Skill supports sampling probability distributions using either quantum or pseudo-random sources for statistical modeling.

You simulate stock price movements using a random walk model by leveraging this Skill to generate multi-dimensional random walks and perform Monte Carlo sampling to assess potential market risks.

Yes, you need an external API and credits to execute Monte Carlo sampling and distribution generation. This Skill integrates with the AgentPMT external API for credit-based tool execution.

Limitations of probability distribution sampling include dependency on the AgentPMT external API for credit-based execution and support restricted to exponential, Poisson, binomial, beta, and gamma distributions.