“How to Calculate SMA & EMA Using API Data in Python | Algo Trading Strategy Explained”

In this video, you will learn how to calculate SMA (Simple Moving Average) and EMA (Exponential Moving Average) using historical data fetched from a trading API in Python. This is a core concept for algorithmic trading, where indicators like SMA and EMA are used to create buy/sell signals. If you are building your own stock market or options trading algorithm, this tutorial will help you understand: How to fetch historical OHLC data from API How to calculate SMA step by step How to calculate EMA using Python How these indicators are used in real trading strategies How to connect indicators with algo logic This video is perfect for: Beginners in algorithmic trading Python programmers in stock market Traders who want to automate their strategies 📌 Learn more about Algo Trading & Python on 🌐 Website: https://codeandcapital.in 📲 Telegram: https://t.me/CodeNCapital