This code show the SVAR results from the paper: "Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, vol. 99(3), pages 1053-1069, June. Specifically: Cholesky Decomposition, Structural Impulse Response, Historical Evolution of the Structural Shock, His…
Visualizing oil data on country maps using OilMap
a visualization of Texas Railroad Commission data
AI-powered crude oil trading bot that analyzes market data, technical indicators, and price momentum to automatically detect profitable buy and sell opportunities in the oil market, helping traders execute faster decisions and manage risk efficiently in volatile conditions.
AI Swarm system for petroleum & petrochemical trading — 6 specialized agents for market analysis, logistics, compliance, documentation, finance, and operations management
Projects relevant to the oil & gas industry built by Microsoft
The article evaluates the effect of the enforcement activities of the Federal Antimonopoly Service of Russia on the market value of companies in the oil industry [reputational costs] (In Russian)
Proof of Private Mineral Assets
Scenario-based analysis of global oil market supply–demand balances, OPEC+ policy sensitivity and geopolitical risk drivers, using OPEC, EIA and OEUK data.
ORBIT is a macro‑physical intelligence platform built for one purpose: to extract structural, not statistical, alpha from energy markets. ORBIT shows grid topology, weather physics, scarcity dynamics, macro‑regime transitions, and the slow→fast Jacobian that links global macro signals to real‑time ERCOT behavior delivering outsized returns.
Análise de dados: PBRx preço do petróleo (2000-2025), com marcos políticos como contexto.
Autonomous AI agent monitoring geopolitical and industrial events impacting global oil prices using smolagents and DSPy with real-time alerts and continuous learning.
LSTM-based AI model for forecasting crude oil prices, leveraging historical data to predict future trends
An interactive map of the world's oil and gas system: reserves, extraction, pipelines, refineries, LNG terminals and voyages, storage and ports, 1990–2024. It includes disruption scenarios that show who is exposed when a chokepoint or pipeline is cut. It was built for energy-policy researchers and IR/economics scholars.
End-to-end crude oil market analytics using weekly EIA data, feature engineering, anomaly detection, walk-forward modelling, regime analysis, explainability, and an interactive Streamlit dashboard for Brent and WTI insights.
CNN-based AI model for forecasting crude oil prices, leveraging historical data to predict future trends
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