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 ...

Effective testing of an algorithmic trading strategy requires quality data (tick by tick broadcast data (touchline) or market picture data) to be made available to the market simulator. One of the ...

The COVID-19 stock market decline entices traders to bet on the S&P 500 index to benefit from an upcoming recovery. The S&P 500 index has known multiple pullbacks in price throughout the past 25 years ...

The trading industry is taking an increasingly quantitative approach to testing trading strategies and maintaining regulatory oversight, with several initiatives expected to hit the market in the ...

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, seeMiFID II: How Did We Get Here and What Does it ...

Many trading systems rely on momentum as a trading signal. Momentum has been shown through decades of research to provide positive alpha. Generally, a fixed time period is used to measure momentum, ...

In the constantly changing world of cryptocurrency trading, artificial intelligence (AI) has emerged as one of the strongest tools available to traders who demand data-informed decisions. But an AI ...

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 ...

Sources indicate that the system is currently undergoing phased practical testing alongside regulatory compatibility ...