Experimental scenario analysis for real-life events forecasting with Codex or Claude
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Updated
Apr 28, 2026 - Python
Experimental scenario analysis for real-life events forecasting with Codex or Claude
A quantitative finance and market forecasting project that analyzes historical financial data using statistical and machine learning techniques to identify trends, generate predictive insights, and simulate data-driven trading and investment decisions. It involves POSITIONAL TRADING.
ML model for forecasting directional price movement of U.S. Gold Futures using macroeconomic and technical indicators
LLM Multi-Agent Framework forecasting wholesale (RBOB) and retail unleaded gasoline prices using Gemini 2.5, NOAA weather models, executive social media gap analysis, and global energy market feeds.
This repository contains two distinct approaches for forecasting market returns. The challenge involves predicting an intraday-varying target variable `y` (hypothesized to represent log returns) across multiple symbols using time-series data with 26 features.
Mi TFM titulado "Aplicación de redes neuronales artificiales y programación cuadrática en la gestión de carteras"
Presentación de mi TFM titulado "Aplicación de redes neuronales artificiales y programación cuadrática en la gestión de carteras"
Local-first AI market forecasting, uncertainty analysis, walk-forward backtesting and prospective benchmark suite.
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