Welcome to the inaugural post of our exciting series: Python for Finance! In this series, we’ll explore the powerful intersection of Python programming and financial analysis, specifically focusing on Fundamental Analysis. If you’ve ever wondered about the real value behind a stock price, beyond the daily market noise, then fundamental analysis is your toolkit. It’s the practice of evaluating…
In our journey through building Python stock screeners, we’ve looked at value, dividends, and pure growth strategies individually. But what if you want the best of both worlds? This post dives into multi-factor stock screening with Python, demonstrating how to combine criteria – specifically creating a Growth at a Reasonable Price (GARP) screener and adding a basic technical trend filter. Why Combine…
Welcome back to our Python for Finance series! Having explored value stocks and dividend payers, we now turn our attention to another exciting category: growth stocks. This post will show you how to build a Python growth stock screener to identify companies exhibiting strong expansion potential using yfinance and pandas. What is a Growth Stock? Growth investing focuses on companies expected to grow their…
Welcome Back! In our first post, we laid the groundwork by building a Python screener to identify potential value stocks. Now, we’ll expand our toolkit by focusing on a different, yet equally popular strategy: dividend investing. This guide will walk you through creating a Python script to find stocks offering attractive dividend yields potentially backed by sustainable payout…
In the world of finance, understanding asset performance is key. Investors constantly weigh the potential rewards of high-growth, volatile assets like cryptocurrencies against the stability and historical performance of traditional markets represented by indices like the S&P 500. In this post, we’ll dive into a practical analysis using Python to compare the annual returns of Bitcoin (BTC)…
If you’re looking to merge your Python skills with the world of investing, you’ve landed in the right place. This is the first post in our series dedicated to building practical financial stock screeners using Python. Stock screeners are invaluable tools; they allow us to sift through thousands of companies methodically, applying specific criteria to…
The current investment landscape presents a unique and challenging puzzle for investors. We’re navigating a period marked by significant equity market downturns, heightened market volatility 2025, and persistent economic uncertainty often amplified by geopolitical tensions. However, what makes this moment particularly complex is the unusual weakness observed in assets traditionally considered pillars of stability: the…
The world of stock investing can feel overwhelming, especially for retail investors navigating a sea of data, news, and analysis. But what if you had an incredibly knowledgeable research assistant available 24/7? Enter Large Language Models (LLMs) – powerful AI like Google’s Gemini and OpenAI’s ChatGPT – which are rapidly changing how we access and…
In today’s fast-paced financial world, staying ahead requires deep, timely, and accurate industry insights. However, traditional industry analysis methods are often laborious, involving sifting through mountains of reports, news articles, and data streams. This process is not only time-consuming but also prone to overlooking subtle trends hidden within the noise. Enter Artificial Intelligence (AI). Advanced…
For years, investors and market watchers relied on a simple rule of thumb: when US Treasury yields rise, the US Dollar (USD) tends to strengthen. It makes intuitive sense – higher returns attract foreign capital, increasing demand for dollars. As the chart below illustrates, this relationship held reasonably well through 2023 and 2024. However, recent…