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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...