If you had walked onto a trading floor thirty years ago, you would have heard noise before you saw anything. Phones ringing, ...

Explore common Python backtesting pain points, including data quality issues, execution assumptions, and evaluation ...

TakeProfit Inc, operator of the cloud trading platform TakeProfit.com, this week announced the launch of a cloud-based strategy backtesting module available to both paid and free-tier users. The ...

TakeProfit has introduced a browser-based strategy backtesting module within its cloud trading platform, adding new ...

Move is aimed at assisting National Competent Authorities (NCAs) with practical tools when it comes to supervision of algo trading under Mifid II. The European Securities and Markets Authority (ESMA) ...

AI agents are now placing trades on prediction markets through the same APIs that human developers use, and regulators are scrambling to keep pace. Platforms like Kalshi and Polymarket have built ...

Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.

Finance careers such as investment banking, hedge funds, and venture capital offer some of the highest salaries.Technical ...

TakeProfit Inc, operator of the cloud trading platform TakeProfit.com, today announced the release of a fully integrated, ...

Python libraries for cybersecurity help automate threat detection, network monitoring, and vulnerability analysis. Tools like Scapy, Nmap, and Requests enable penetration testing and network security ...

The regulator’s framework mandates prior approval from stock exchanges for each algorithm and requires unique identifiers on every order to maintain an audit trail India’s markets regulator, the ...

在人工智能与金融科技快速发展的背景下，量化投资正经历一场深刻的技术变革。数据分析、机器学习与算法系统的广泛应用，使金融市场逐渐从经验驱动转向数据驱动与模型决策。在这一趋势下，黄柏谦作为长期关注人工智能量化研究的实践者之一，积极探索QuantConnect AI平台在金融市场中的应用价值，并推动人工智能技术在量化投资领域的系统化实践。