Business Quant is an investment research platform. We provide tools and datasets, so investors and investment professionals can evaluate companies better and make informed investment decisions. The company is serving more than 400 users from various backgrounds and different countries, some of whom are investors, investment advisors, portfolio managers and research analysts.
Business Quant is run by experienced financial personnel. Its CEO, Piyush Arora, has been an independent contributor for several prominent financial media outlets such as Seeking Alpha, Investing.com, The Motley Fool, Amigobulls, Talkmarkets, Born2Invest and The Investors Guide since 2012. The tools available on our platform are carefully conceptualized and crafted to help with the research process usually involved with thoroughly analyzing listed stocks.
The platform had hundreds of subscribers before its formal launch. We are very happy with what we have accomplished so far, and excited where we are headed next. We value feedback very seriously and we’d love to hear from you.
Our core and extended teams comprise of Data Scientists, Investment Bankers, Python experts, Strategy Gurus, Web Developers, Research Analysts and Engineers with multiple accolades and years of experience in their respective area of expertise.
Our platform took shape after intense researching and countless iterations, combining years of expertise in financial analysis in various industries across the world, which was then combined with latest Business Intelligence tools. In a short period of time, Business Quant has been adopted by many investors and investment professionals, and the platform is delivering outstanding value to our subscribers. The platform continues to be updated with newer datasets, skills, business intelligence tools.
We aim to become a leading investment research platform over the coming years and eventually go on to compete with some of the biggest names of the industry.
Our goals and priorities are simple:
Give users the best possible user experience;
Develop products based on what users want;
If it’s not accurate information, it can’t be on the platform;
About 70% of our man hours are dedicated towards ensuring the accuracy and timeliness of the data and we intend to keep it that way.