One of the common methods of testing algorithmic trading is backtesting. Testing algorithmic trading requires continuous data flow such as LTP, LTQ and market depth. Here a simulator is used to ...

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 ...

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 ...

Futures trading used to be reserved for institutions and professional traders; after all, it's known for being fast-paced, complicated and hard to access. But times are changing, and that's no longer ...

IIT Madras graduate Raghav Talwar is tackling a major pain point in quantitative trading: the lengthy process of testing new datasets and strategies. With most small and mid-sized trading firms ...

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 ...

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 ...

Strategy's $76,000 average cost creates structural test for Bitcoin as on-chain metrics show stalled growth and weak holder ...