oil-price
Here are 33 public repositories matching this topic...
Construct workable datasets from web data and applied various machine learning methods to predict future oil price
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Nov 22, 2019 - Jupyter Notebook
This project highlights a Spark application built on Scala. It utilizes Spark Core, Spark SQL and Spark ML (Machine Learning libraries) for predicting stock prices of specific airline companies. We have used the Google trending words (searched on internet and relevant to financial domain) and also macro-economic oil prices as alternate data to p…
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Jun 7, 2018 - Scala
The goal of our analysis was to use different time series methods to predict the oil price for the last 6 months of the data, September 2017 through February 2018, and determine the best prediction model for this data.
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Jan 22, 2019 - R
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.
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Mar 18, 2026 - Python
A Python code for a Personal Assistant which performs various tasks. Search google,Wikipedia, and gives stock prices with Oil prices .
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Sep 16, 2020 - Python
Node.js based API for getting oil and gas prices based on oilprice.com
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Sep 10, 2021 - EJS
Repository untuk mengerjakan project tugas akhir prodi Teknik Informatika UBHARA Surabaya
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Apr 30, 2022 - Python
Problem to solve: Determine what role oil plays in the Russia economy and predict outcomes in the years to come. Data: year (From 2004 to 2018), oilprice (The spot price of a barrel (159 liters) of benchmark crude oil in US dollars, gpd (Gross domestic product in billions of US dollars
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Sep 21, 2022 - Jupyter Notebook
REST API for real-time commodity futures prices — gold, silver, crude oil, natural gas, coffee, wheat, and 25+ more. Prices from CME, NYMEX, and CBOT in USD.
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Feb 10, 2026
Daily Brent Crude oil prices from 1987 to the present, obtained from the EIA (US Energy Info. Administ.) via FRED, were used as the dataset. The last two years were used as test data, and the performance of forecasting models was measured. XGBoosting yielded the best results. The article link containing storytelling about this repository is below.
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Oct 10, 2025 - Jupyter Notebook
Projects relevant to the oil & gas industry built by Microsoft
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Oct 6, 2017
Saudi Arabia and the Oil Market (EJ, 2013)
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Apr 23, 2021 - AMPL
Predicting Crude Oil prices for the next 5 days using ARIMA model
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Nov 30, 2017 - Jupyter Notebook
Key Factors Affecting Oil Prices and the Market Share of ICE, HEV, and EV in Malaysia
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Jul 7, 2025 - Jupyter Notebook
Monetary effects on nominal oil prices (NAJEF, 2009)
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Apr 23, 2021 - xBase
Brent crude oil price trend and economic impact on Thailand (June 2025–March 2026)
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Mar 27, 2026
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Sep 5, 2017 - JavaScript
A linear model on NYMEX WTI Crude Oil weekly data that predicts the High and Low of each based on the Open, Close, and Volume.
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Jan 14, 2024 - Jupyter Notebook
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