Python vs C++ for HFT | Best Programming Language for Algo Trading скачать в хорошем качестве

Python vs C++ for HFT | Best Programming Language for Algo Trading

New course launch: Agentic AI for Trading is live. Learn to build agentic workflows for backtesting in Python, AI that can reason, use tools, and collaborate to convert trading ideas into end-to-end scripts. 70% off for a limited time! → https://quantra.quantinsti.com/course... . . . - Which programming language is best for HFT? Learn why C++ dominates execution speed while Python excels in research and prototyping. Discover how quant firms balance speed, efficiency, and scalability in trading. 🔗 Main Video: youtube.com/live/a--feNgBwFo 📚 Most Useful Links & Resources: 🚀 Join EPAT – Executive Programme in Algorithmic Trading: https://www.quantinsti.com/epat 📘 Free Handbook - Python Basics: http://bit.ly/2lZdNLW 📊 Free Course - Python for Trading: Basic: http://bit.ly/2kL203N 🤖 Free Course - Machine Learning for Trading: http://bit.ly/2m61gGr 💡 Explore Quantra’s Algorithmic Trading Courses: https://quantra.quantinsti.com/ 📢 About the Speaker: Mr. Rajib Ranjan Borah, a leader in algorithmic and high-frequency trading. As the co-founder and CEO of iRage, he has built one of India’s leading high-frequency trading firms, specializing in options and futures across equities, currencies, and commodities. With over a decade of experience as an entrepreneur, Rajib is recognized globally for his expertise in strategy development, risk management, and performance optimization. His career includes significant roles at global firms such as Optiver, Oracle, and Bloomberg, bringing a wealth of experience to the EPAT program. 📌 Keywords: HFT Programming, Python vs C++, Trading Infrastructure, Algo Trading Languages, Trading System Development, Quant Finance, Programming for Trading 🏷️ Hashtags: #PythonForTrading #Cplusplus #AlgoTrading #HFT #QuantDevelopment #FinanceTechnology #StockMarket #TradingSoftware