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keith-mvs

advanced-math-tradingfoundations-core

by keith-mvs

An advanced AI-driven quantitative trading ecosystem featuring multi-source market data aggregation, high-fidelity paper trading simulation, and machine learning-powered signal generation.

1🍴 0📅 Dec 28, 2025

SKILL.md


name: advanced-math-trading/foundations-core description: Probability, moments/tails, Bayes, and statistical learning foundations for systematic trading.

What this covers

  • Probability spaces, random variables, moments, tail risk, Bayes updates.
  • Core statistical learning basics and regularization.

Navigation (load on demand)

  • docs/knowledge-base/domains/foundations/advanced-mathematics/Algorithmic Foundations for Systematic Trading.md — probability, moments, tail risk, Bayes code.
  • docs/knowledge-base/domains/foundations/advanced-mathematics/statistical-foundations.md — stats core.
  • docs/knowledge-base/domains/foundations/advanced-mathematics/probability-and-stochastic-processes.md — probability + processes overview.
  • docs/knowledge-base/domains/foundations/advanced-mathematics/probability-spaces-and-random-variables.md — formal definitions.
  • docs/knowledge-base/domains/foundations/advanced-mathematics/statistical-learning.md — learning basics.
  • docs/knowledge-base/domains/foundations/advanced-mathematics/regularization-methods.md — regularization patterns.

Quick workflows

  • Tail metrics: lift VaR/ES/Hill estimators from Algorithmic Foundations.
  • Bayesian updates: use conditional-probability code for regime/parameter updates.
  • When in doubt, start with Algorithmic Foundations then pull topic-specific MDs above.

Notes

  • Load only the files needed; avoid bulk-loading the whole directory.

Score

Total Score

75/100

Based on repository quality metrics

SKILL.md

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+10
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GitHub Stars 100以上

0/15
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3ヶ月以内に更新

+5
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0/5
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