Market structure impacts and the potential for too much AI dependency were highlighted as a key are of focus for speakers on ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Hyderabad: Ashoka School of Business has launched India's first Post Graduate Diploma in Management (PGDM) in AI & Data ...

Traders have been fascinated by the martingale system for a long time. Its basic idea is to double the size of the position ...

Trading in financial markets has long moved beyond manually entering orders or setting up indicators. Now, decisions are ...

Research on statistical arbitrage in U.S. equities (1997–2007) shows that PCA-based strategies achieved average annual Sharpe ...

Abstract: In this paper, we first develop a quantitative trading model based on data driven for simulating buy, sell and hold operations in stock trading. In order to optimize the investment returns ...

AI bots are self-learning software that automates and continuously refines crypto cyberattacks, making them more dangerous than traditional hacking methods. At the heart of today’s AI-driven ...

A robust algorithmic trading system for the Nifty 50 index and its constituent stocks, featuring comprehensive data collection, feature engineering, machine learning model training, backtesting, and ...

The QuantConnect MCP Server is a bridge for AIs (such as Claude and OpenAI o3 Pro) to interact with our cloud platform. When equipped with our MCP, the AI can perform tasks on your behalf through our ...

Dara-Abasi Ita writes about trading and investing for Investopedia and Investing.com, and he is an editor at Lawverse magazine. He has written about financial topics, including private equity, asset ...

The Australian Securities and Investments Commission has launched a consultation on modernising its market integrity rules, citing the rapid spread of algorithmic and AI-driven trading across equities ...