Machine Learning Stocks in python: a starter project and guide
Using python and scikit-learn to make stock predictions Source
Stock
Stock Market Analysis with Python, Plotly, Dash, and PowerBI
Data Collecting: Python, Data Visualization: Plotly, Dash and PowerBI Source
A Data Scientist view on stocks
In this article, I will connect other data points on stocks, perform a detailed analysis, and create charts to understand better. Source
Picking Stocks with a Quantitative Momentum Strategy in Python
A simple yet useful method to optimize the process of choosing stocks Source
Top Python trading packages for 2021
Python packages that simplify and automates trades. Some packages will be heavily focused on the US market. Source
7 Big Data Stocks Supporting All Aspects of Life
Let’s take a deeper look into these seven stocks: MongoDB (NASDAQ:MDB) Cloudera (NYSE:CLDR) Elastic (NYSE:ESTC) Teradata Corporation (NYSE:TDC) New Relic (NYSE:NEWR) Datadog (NASDAQ:DDOG) Splunk (NASDAQ:SPLK) Source
The 6 fundamental factors and their underlying indicators to predict stock return
How to evaluate a company fundamental performance and compare it with others Source.
How AI, alternative data and insights from psychology resulted in an innovative stock market indicator
A short walkthrough on how the combination of three exciting fields; behavioral finance, alternative data, and machine learning leads to new insights in to the stock market Source
The Best Stock Research & Investment Tools for 2021
Huge set of services and resources Source
Trafalgar : a python library to make quantitative finance and portfolio analysis faster and easier
This library has for goal to make it simpler, faster, and easier to analyze stocks and portfolios in only a few lines of code instead of taking hours to learn mathematical concepts behind these tools ...