Welcome back to the Python for Finance series! Having explored valuation (Post 1), financial statements (Post 2), profitability (Post 3), and liquidity (Post 4), we now examine another crucial aspect: Leverage. Leverage involves using debt to finance operations and assets. While it can magnify returns, it also increases financial risk, making companies more vulnerable during downturns due to…
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…