3 repositorios
Awesome GitHub RepositoriesBenchmark Performance Analysis
Quantitative comparison of asset returns against market benchmarks to derive risk-adjusted metrics.
Distinct from Performance Benchmarkers: Candidates are focused on software performance benchmarking, not financial asset benchmarking.
Explore 3 awesome GitHub repositories matching scientific & mathematical computing · Benchmark Performance Analysis. Refine with filters or upvote what's useful.
Awesome Benchmark Performance Analysis GitHub Repositories
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- xbuilderlab/cheat-on-content
XBuilderLAB/cheat-on-content
4,919Ver en GitHubEste proyecto es un framework de predicción de rendimiento de contenido y optimización de estrategia diseñado para convertir la creación de contenido en redes sociales en un experimento basado en datos. Utiliza rúbricas estandarizadas y benchmarks históricos para convertir la escritura subjetiva en puntuaciones cuantificables y previsiones de engagement. El sistema se diferencia por un bucle de retroalimentación de predicción a ciegas y un pipeline de análisis retroactivo. Registra las expectativas de rendimiento antes de la publicación para medir la intuición humana frente a los resultados reales, y luego utiliza esas variaciones para calibrar automáticamente las fórmulas de puntuación y eliminar directrices creativas obsoletas. La plataforma cubre varias áreas de capacidad clave, incluyendo la previsión de alcance y engagement, el análisis de interacción de la audiencia y el desarrollo de rúbricas para redes sociales. Permite importar benchmarks de cuentas objetivo para establecer líneas base de rendimiento e identificar patrones de crecimiento recurrentes.
Establishes success thresholds by analyzing historical engagement data from specific target social media accounts.
Python - tradytics/eiten
tradytics/eiten
3,143Ver en GitHubEiten is an AI-powered market analysis platform and quantitative toolset designed to translate statistical market data and options flow into investment strategies. It provides a suite of specialized financial tools, including an analysis platform driven by large language models, a quantitative portfolio optimizer, and a trading strategy backtester. The project distinguishes itself through the use of random matrix theory to filter covariance noise and mathematical algorithms for portfolio optimization. It integrates these capabilities with a financial data bot for delivery of real-time researc
Compares portfolio returns against established market indices to determine the alpha generated by a strategy.
Pythonaialgorithmic-tradingeigenvalues - llmquant/quant-wiki
LLMQuant/quant-wiki
3,041Ver en GitHubquant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering, and algorithmic trading. It serves as a centralized library of documentation covering mathematical models, financial instruments, and systematic trading strategies. The project integrates AI-driven capabilities through a modular retrieval-augmented generation framework that extracts structured data from research papers and news. It features a multi-agent workflow engine designed to discover and validate predictive alpha factors, alongside tools for local large language model
Provides a system for comparing company growth metrics against industry baselines to determine relative positioning.
quantitative-financequantitative-tradingwiki
