crude-oil

There are 1 repository under crude-oil topic.

• FinMind / FinMind

  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/

  pythonfinancial-datastock-pricesgold-priceapiexchange-ratesinterest-ratescrude-oilrhacktoberfestopendatafinance
  Language:Jupyter Notebook 2053

• sampatghosh / lppl-gwo-dp

  lpplgrey-wolf-optimizercovid19differential-evolutionstock-price-predictionstock-price-crashcrude-oil
  Language:Jupyter Notebook 4

• piorek94 / MI

  Methods for Identification - academic project

  control-engineeringacademic-projectindustrial-automationvirtual-sensorscrude-oilmatlab
  Language:MATLAB 1

• Whitneysheng / crackspreads

  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. The below code investigates a few crack spreads visually to establish such relationships.

  tradingcommoditiescrude-oilpetroleum-economicsseasonalitycrack-spread
  Language:Jupyter Notebook 1

• Samaalnassiry / crude-oil-analysis

  Crude oil analysis on SQL cleaned data

  crude-oilfbprophetmloecdpython
  Language:Jupyter Notebook 0

• SYDsCorner / Crude_Oil_Price_Projection

  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.

  crude-oilcrude-oil-pricemachine-learning-algorithmswti
  Language:Jupyter Notebook 0

• TegveerG / 512-Case-Study

  Code and walkthrough for reproducibility of the Case Study (Crude Oil Price Prediction using Artificial Neural Network) presented in class.

  crude-oilneural-networkpredictive-modelingprice
  Language:HTML 0