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.

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)

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.

LSTM-based AI model for forecasting crude oil prices, leveraging historical data to predict future trends

Autonomous AI agent monitoring geopolitical and industrial events impacting global oil prices using smolagents and DSPy with real-time alerts and continuous learning.

Proof of Private Mineral Assets

CNN-based AI model for forecasting crude oil prices, leveraging historical data to predict future trends

Automate crude oil trading by generating AI-driven Python strategies, backtesting them, and monitoring trades on your secure, self-hosted platform.

Visit https://www.passmaga.com for Oil and Gas Jobs in Dubai, USA, Canada, Qatar, Nigeria, Angola, etc.

Scenario-based analysis of global oil market supply–demand balances, OPEC+ policy sensitivity and geopolitical risk drivers, using OPEC, EIA and OEUK data.