austinsw/Machine-Learning-on-Commodity-Price-Forecast-2022
Machine Learning project with focuses on using numerous regression methods to predict commodity price movement.
This project helps traders and financial analysts predict the future prices of key commodities like oil, gold, and copper. It takes historical price data from online sources and uses various machine learning models to generate forecasts for 4 or 12 months ahead. The end-user can interact with a web application to select a commodity and forecast duration, viewing predicted price movements.
No commits in the last 6 months.
Use this if you are a trader or analyst interested in exploring a basic machine learning approach to forecast commodity prices for short to medium-term outlooks.
Not ideal if you require highly accurate, production-ready price predictions for critical investment decisions, as the current models show limited predictive power.
Stars
7
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 28, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/austinsw/Machine-Learning-on-Commodity-Price-Forecast-2022"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
louisoutin/deep_gas_oracle
Unofficial implementation of the paper: "Step on the Gas? A Better Approach for Recommending the...
mesjou/price_simulator
simulation platform for algorithmic pricing
MohammadvHossein/predict-gold-price
A Python project that forecasts gold prices using machine learning and deep learning techniques,...
ramtiin/Predicting-Stock-Prices-Using-FB-Prophet
Prophet is a procedure for forecasting time series data based on an additive model where...
VMS-Solutions/predict_leadtime
Prediction of Copper Supply Lead Time Based on Crude Oil and Raw Material Prices