Open Source Investment Research for Everyone
Let’s explore OpenBB Terminal, an open-source investment research platform. Source
Market
Stock Market Analysis with Python, Plotly, Dash, and PowerBI
Data Collecting: Python, Data Visualization: Plotly, Dash and PowerBI Source
Artificial Intelligence for Trading
Dive deep into the various applications of AI in the domain of trading 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
Finding correlations between Reddit and the Stock Market using Statistics
Using VADER (Valence Aware Dictionary and sEntiment Reasoner), Pushshift API, Spacy’s Named Entity Recognition, and Spearman rank-order correlation test. Source
Predicting S&P500 volatility to classify the market in Python
Model the volatility of the S&P500 to classify the market into three different segments to enhance algorithmic trading strategies. 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
Creating a Fractal Trading Strategy for Advanced Contrarian Signals.
Using the Fractal Indicator With Moving Averages to Trade the Markets. 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.