Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/
A full end to end data science project analysing 56 years of WTI crude oil prices from exploratory analysis through geopolitical event quantification to ARIMA, Prophet, and LSTM forecasting deployed as an interactive Streamlit dashboard.
Crack spread is the price differential between crude oils and refined products. "Crack" refers to the catalyzing and heating process that results in the breaking down of the carbon bonds, hence the name "cracking". The spreads represent industry refining margins and lend insight into economic activities. The spreads are thought to be seasonal. T…
🌍 A comprehensive data analytics project exploring the impact of the 2026 US–Iran conflict on global petroleum prices, crude oil trends, economic indicators, and geopolitical events using Python, Pandas, Matplotlib, Seaborn, and SciPy.
LLM-assisted options trading system for crude oil futures with rules-based exits, five-tier strategy promotion, and human-in-the-loop safety gates
Quantitative Analysis of Strait of Hormuz Disruption on Global Capital Markets & Commodity Trades
Methods for Identification - academic project
Group Project: we intend to develop a robust machine learning model that will deliver a one-year projection for the price of West Texas Intermediate (WTI) Crude Oil.
Code and walkthrough for reproducibility of the Case Study (Crude Oil Price Prediction using Artificial Neural Network) presented in class.
ConocoPhillips is a leading global exploration and production company, headquartered in Houston, Texas, that is uniquely equipped to deliver reliable, responsibly produced oil and natural gas. The company operates in more than a dozen countries with conventional and unconventional crude oil, natural gas, LNG, and natural gas liquids assets.
Crude oil futures quantitative analysis toolkit — term structure, MC simulation, VaR, statistical modeling
Brent Oil Price Forecasting using Orange Data Mining. Comparison of Linear Regression and Neural Network models with time-series visualization and predictive analytics.
Chevron Corporation is one of the world's largest integrated energy companies, with operations across upstream exploration and production, downstream refining and marketing, and the production and transportation of crude oil, natural gas, refined fuels, lubricants, petrochemicals, and renewable fuels.
React-based dashboard for real-time crude oil price forecasting powered by a hybrid ARIMA | GRU | XGBoost backend with live news sentiment integration.
Crude oil chart
A Python script that classifies crude oil market volatility into high or low regimes using logistic regression, then predicts the next price direction using a linear regression model trained on the corresponding regime's historical data.
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.
VECM analysis of the 3-2-1 crack spread: demand-pull and cost-push price transmission between crude oil, gasoline, and heating oil (BENV0122 UCL)
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