Member-only story
Once dominated by C/C++, the finance world is increasingly embracing Python as the language of choice for financial data analysis, modeling, and trading platforms.
With its versatility and developer friendliness, Python is changing finance in profound ways while lowering barriers to innovation.
Rise of Algorithmic Trading
Electronic and algorithmic trading now accounts for over 50% of trade volume across stock exchanges.
As automated trading exploded in recent decades, Python emerged as the language of choice Versus compiled languages like C++, Python code is easier to write, debug, analyze, audit, optimize and scale up.
Lower Latency and Rapid Prototyping
Python helps quants and developers prototype and evaluate complex trading strategies rapidly.
The ease of analyzing large historical datasets, backtesting strategies, and optimizing performance translates to higher profitability. Python based platforms offer lower latency crucial for HFT systems.
