How to Automate Spreadsheet-Driven Stock Trading with Python

stock trading automation doesn’t have to mean manual data entry and delayed execution. When you're managing multiple trades and relying on spreadsheets to track orders, the process becomes error-prone and slow. The Excel trading script approach might feel familiar, but it's also tedious and leaves room for human mistakes. The Manual Way (And Why It Breaks) Manually copying trade orders from Excel into a trading platform is time-consuming and fragile. You have to open your spreadsheet, select rows, copy data, paste into the platform, and then confirm each transaction. This routine becomes especially painful when trading across multiple stocks or when you are executing many small trades. For developers and traders looking to automate stock trading, a manual workflow breaks down quickly under pressure. It's a common bottleneck that prevents efficient trading strategy automation. The Python Approach This Python snippet shows how to read an Excel file and prepare orders for execution using