Lares operates its firm around the clock around the world. His firm has more than 10 years of experience. It has been a keen interest in professionals who are deeply committed to protecting investments and maximizing profits through dedication to risk alleviation by Lares and its operations.

Self Introduction of Maya Sharan Singh as an Entrepreneur

A pioneer in algo trading and an Indian Entrepreneur is being described regarding Maya Sharan Singh. He has been a Postgraduate from IIM Nagpur. He is having a bright academic resemblance. He is having a wide experience in algo trading. He is securing experiences from top Fintech companies. He is passionate about performing something new in algo trading. He worked on strategy and software after years of hands-on experience. He left his well-settled job to innovate new ideas in algo trading. As an algo trading and fund management company, the journey of Maya Sharan Singh started. With compassion and hard work, he developed a multimillion algo trading organization.

Foundation Stone of Lares Fintech - Maya Sharan Singh

Mr. Maya Sharan Singh has left his well-settled job. After this, by using a combination of human intellect and artificial intelligence he was considered to bring a revolution in the investment market. Algo trading was not commonly used at that time. In 2008 algo trading was introduced by SEBI in India. He has become one of the initiators of algo trading company in India. Hence in order to draw willingness to draw the change, he started his journey. He has transformed himself from a young entrepreneur to an industry expert with years of experience and hard work.

Investment and Marketing Strategy of Maya Sharan Singh in Algo Trading

There are multiple market players in the huge stock trading and investment industry. He has experience and expertise in the industry for years. He is such a personality that has a market expert. In the domain of the stock exchange, he is a financial guru. He has been a keen observer of trends and opportunities in the market. How it is modified and how it is impacted is described by him in algo trading even if it is algo trading.

Maya Sharan Singh’s Experience in Algo Trading Company

A forecaster in the market, with long-term measures has been Maya Sharan Singh in Algo Trading company in India. Knowing the factors influencing it and the expected outcomes in the market he took this decision. To sit in most of the conditions he sits in the otter. He was one of the initiators of this scheme for the public in the year 2009 when algo trading was permitted by SEBI in India for the general public. Here, the team managed by him is of market experts and strategists respectively. With a huge success rate and zero human error, Lares Fintech created its own in-house algo trading company. For better results and responses from trading and investment in the stock market, the software was developed for modern techniques and machinery.

Let’s Know something about Maya Sharan Singh’s Work

Maya Sharan Singh runs Lares Fintech. Algo trading company is being successfully run by him in Lares Fintech. On quantitative previous market data and market behavior it is based on. It works on a set chain of commands. The services provided by Maya Sharan Singh in Lares Fintech are Algo Trading, Market Making, Quant Trading, Prop Desk Management, Automated Trading, and Hedge Fund Management. The vision of Lares Fintech is to capture the huge potential of an automated system in the financial market. How to value, trade and hedge complex securities are the understanding we have refined at algo trading company at Lares Fintech respectively.

He enhance the automated trading company to make our company more reliable and effective. He concentrates on perspectives that offer risk management services, strict compliance, a professional team approach with investment partners and operations, and the use of efficient, creative, and customized solutions. He has grown every year in his team, capital, and global presence in expertise with trading technology and operations respectively.