Quant

The worst part about quantitative trading isn’t having a bad strategy. It’s not knowing whether your strategy is good or bad. A strategy with 30% annualized returns sounds great, until you realize the max drawdown was 60% — you’d never have held through it. A Sharpe ratio of 2.0 looks impressive, but if it’s propped up by a few windfall trades in extreme market conditions, the Sortino ratio will tell a very different story. Quantitative trading metrics aren’t decorations for backtesting reports. They’re the tools that help you decide whether a strategy is worth putting real money behind. ...

The Price-to-Earnings (P/E) ratio is a widely used financial metric that indicates how much investors are willing to pay for a dollar of earnings. Using Python’s yfinance library, you can easily download stock market data, including the P/E ratio. This blog will guide you step-by-step on how to retrieve the P/E ratio for stocks using yfinance. Step 1: Install and Import Required Libraries First, make sure you have yfinance installed. You can install it using pip if you haven’t already: ...

The yfinance Python library is a powerful tool for accessing financial data from Yahoo Finance. It allows users to download historical market data, fetch stock information, and analyze trends with minimal effort. In this tutorial, we will walk through the steps to install yfinance, retrieve stock data, and extract detailed stock information. 1. Installation To begin, ensure that yfinance is installed on your system: pip install yfinance 2. Downloading Historical Stock Data You can download historical stock prices using the yfinance.download method: ...