Python for Finance: Visualize Bitcoin Volatility in 5 Minutes
Introduction Numbers on a screen are boring. To trade successfully, you need to see the market trends. If you are staring at a raw spreadsheet of Bitcoin prices, you are missing the story the market is trying to tell you. Volatility is the heartbeat of the market. It tells us how "nervous" or "confident" traders are. By visualizing this volatility, you aren't just looking at price—you are looking at risk. This is the first step in moving from a gambler to a quantitative trader. If you've already built your DCA Bot using our previous guide , now it's time to learn how to analyze the market data behind it. Today, we are going to build a tool that lets you see the chaos of the crypto markets clearly. Prerequisites To follow along, you need a Python environment installed. We will be using three essential libraries for python financial analysis : Pandas: The Excel of Python. It handles our data. Matplotlib: The artist. It draws our charts. yfinance: The da...