QuantQuest

Auquan is bridging the gap between data science and finance by translating analytical skills of talented people into trading profits.

Trading has evolved from subjective, trader discretion based approach to new objective, systematic strategies that rely purely on data and algorithms. With this evolution, the demand for quantitative researchers to discover and implement newer trading ideas is also on the rise, but access to these opportunities is available only to a few.

Auquan is started with the aim of creating the next generation of quants by making algorithmic trading skills accessible to everyone. We believe that extremely talented people equipped with right knowledge, skills and attitude can design highly successful quantitative strategies. And we’re doing just that, democratizing algorithmic trading technology to enable any engineer to design a strategy.

We want to engage skilled data scientists, physicists, engineers, developers, college students - anyone - to apply the modeling techniques used in their fields to write investment algorithms. We will do this by conducting a series of educational online and offline talks and tutorials on trading strategies, machine learning, and quantitative finance, and enabling our attendees to apply these skills to real world financial datasets.