AppLabs – As trading has become electronic, trading applications need to be reliable and effective; emphasizing more on the speed of delivery with peaks and troughs in demand. And the answer to these ...

Researchers from the Swiss National Bank have shown how a trading strategy that uses fine-tuned large language models (LLMs) to analyze sentiment in the foreign-exchange market could outperform ...

Quantitative trading relies on a data-driven approach using mathematical models to analyze market behavior. Instead of relying on instinct or opinion, it uses measurable signals based on statistics ...

A test-first EA playbook for 2026 works because it treats scalable trading as a sequence: backtests that respect margin and liquidation mechanics, robustness checks that reduce overfitting risk, and a ...

Leveraged S&P 500 funds outperform during bull markets and recoveries, underperform during bear markets. Investing in leveraged S&P 500 funds, but only after a downturn, could result in market-beating ...

Algorithmic trading strategies, pivotal in today's financial markets, must be built on solid statistical methods and a sound understanding of market dynamics. These strategies automate trading by ...

This is the third in a series of blog posts on MiFID II (Markets in Financial Instruments Directive II). If you missed the earlier posts, see MiFID II: How Did We Get Here and What Does it Mean? and ...

According to Charles Schwab’s 2025 Modern Wealth Survey , 46% of investors use multiple brokerage accounts or portfolios beyond their primary account. Nearly half of today’s active traders lean toward ...

Learn how to build a ChatGPT-powered AI trading bot for crypto and stocks, covering strategy selection, model training, trade execution, risk management and automation. AI trading bots analyze data ...