Statistical and ML time series analysis applied to commodities
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Updated
Sep 14, 2019 - Jupyter Notebook
Statistical and ML time series analysis applied to commodities
Deep learning securities, commodities and futures framework.
Learn about research & trading algorithms in Python
Analysis of how Trump's tweets affect financial instruments
Pulling data from Oxford, IMF and MarketWatch to assess the impact of Covid19 related measures on world economy, with a special focus on commodities and the Energy Index Price
Commodity Currency Update API
This repository contains two Data Analytics 📊 Dashboards and their data pipelines. First dashboard and pipeline is of World 🌍 trade of commodities and second is of my Medical Research 🔬 paper regarding the "Counselling of Medical Students a Supportive Tool" (Fauzia et al.).
Tips and tricks for using Exchange Rates for macOS
Comprehensive Python package for managing currency codes across different types of assets
Overview of pricing dynamics of trading commodities
PROJECT MIGRATED TO CODEBERG - Archive of Stooq Commodity Prices
Project on South Africa's meat imports profile
BTC + commodities stablecoin used for P2P, Defi & Tradfi
These are my notes, lessons, and implementations of basic stock market terminology. I created this repo to store all my stock market basics in one place so I can reference these notes in the future. I emphasize simplicity and comprehension so I made sure to highlight the important concepts and go deeper into theories that I find interesting.
This app help you spot sesonality in prices on financial market, such as metals, grains and currencies.
Data gathered from World Bank’s website. Analyzed parameters such as GDP, commodities, trade balance, import/export partners, etc. Follow Tableau Public WB link in README.
💲 💹 🐮 Repositório de ferramentas para análise de dados do mercado de boi gordo no Brasil.
various scripts to parse CME group end of day settlements and such
A repository to make changes to the vscode Wiki on GitHub
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