Achieve triple-digit annual returns in the market — Background I started trading as a sophomore in high school when I learned about the stock market by talking to my microeconomics teacher, a former broker at the NYSE. This time in high school was crucial to my development because I had a lot of spare time and a deep desire…

Revealing the 6 screens that have led me to find multiple 500% gains in months — Stock screeners have been an integral part of my process of finding potential true market leaders and stocks that can increase hundreds of percent in a relatively short amount of time. …

Separate yourself from the average retail investor in 2021 — As we roll into 2021 and the new trading year, it’s important to reflect on the trades we made in the past year. With the S&P 500 and Nasdaq up nearly 70% and 87% from their March lows, respectively, it is very easy to be complacent with one’s trading rules…

Learn how to use Python to identify similarities in stock movements — Note from Towards Data Science’s editors: While we allow independent authors to publish articles in accordance with our rules and guidelines, we do not endorse each author’s contribution. You should not rely on an author’s works without seeking professional advice. See our Reader Terms for details. Whether you are crafting…

Learn how to parse real-time recommendations for any interval with Python! — In one of my earlier articles, we went over how to parse the top analyst recommendations from Yahoo Finance for any stock. …

Get Access to Live Fundamental Ratios, News, and Insider Trading Data in Seconds — FinViz: The Ultimate Stock Screener Access to the most up-to-date information is vital to any investing strategy, whether it be day-trading, swing-trading, or simply long-term holds. However, nowadays there seems to be a lack of resources for this purpose. …

The answer to the age-old question using Python — What are Technical Indicators? Technical Indicators, a subset of Technical Analysis, refer to the pattern-based signals usually dependent on the price or volume of a security. These indicators analyze trends in historical data in order to forecast future price movements. But are they really effective? Before getting into the code and the results, let’s…

Learn how to create a Technical Analysis app using Streamlit in Python! — A vital part of any data-driven project is its ability to be easily explained and viewable even for others who may not know anything about the data beforehand. Introducing Streamlit in Python! Streamlit is an extremely easy to use and intuitive tool for building highly interactive, data-driven web applications in…

Why 99.99% of Machine Learning algorithms never truly work — All too often I get the same types of articles in my Medium Daily Digest email with the intriguing article titles that claim to predict the stock market with Machine Learning. Oftentimes, they ended with some extremely spot-on model with near-perfect accuracy. …