At just five years old, Drew Krishnan was following with great interest his grandfather, who traded shares.

The retired orthopedic surgeon was checking the financial news and watching the market during idle hours. He told Krishnan about his hobby, its ups and downs. Sometimes, he would ask the boy to look for information or ponder questions.

Krishnan answered dutifully.

“I used to read and play action movies when I did, but I was always in touch with my grandfather,” said 18-year-old Krishnan. “And that was what he was doing in his spare time.”

That initial interest turned into a passion for finance. Krishnan’s mother has retired cancer researcher; His father is a lawyer. But their son is striving for numbers, coding և he’s cash.

“In middle and early high school, he asked why stocks rarely benefit everyday people or organizations, such as charities, hospitals and non-profit organizations,” he said.

Large companies collect all the revenue, Krishnan thought. And everyone else.

“The goal on Wall Street is to make money. You work for 20 or 30 years. You earn all this in cash. This is the end, “he said. “There has to be a bigger, more meaningful goal in business.”

Thus, Krishnan devoted the late night of 9th և 10th grade to the creation of a stock exchange algorithm or a series of instructions that tell the computer how to complete a task. He wrote it, hoping to maximize return on investment for the people who leave the market.

Consider graduates who owe a student loan they are trying to repay or Indian hospitals struggling with resources during the COVID-19 epidemic.

Many people he said he lacked the time or financial knowledge to navigate the stock. The algorithm simplifies the process for them. It presents the prospect of investing money based on an individual’s goals և risk tolerance, and then actually seeing how that money grows.

And that eliminates the need to apply to a fee-paying investment company. Instead, the one who puts the funds down is the one who is definitely in control.

For example, an educational non-profit organization can invest several thousand dollars in donations to the stock market. When an algorithm helps that initial amount reach an agreed target, they sell. These revenues can be transferred to the budget for scholarships or school supplies.

“Having a system that can generate money for you actually gives you the opportunity to help the community,” Krishnan said.

Its creation predicts movement in various sectors of the stock market, such as telecommunications, energy and real estate. When he tested the algorithm in 2012.

By 2012, the stock market had recovered most of its losses from the Great Depression, Krishnan said, turning it into a trial period.

“Most people are happy to see something double-digit,” said Susanna Costanza, executive director of the Florida Board of Economic Education. “He is registered in three digits.”

According to the World Investment Bank Goldman Sachs, the stock market has averaged 9.2% per annum over the past 140 years.

In late May, the Tampa Bay Hall of Fame awarded Tampa resident Krishnan for his achievements with the first prize of his future Hall of Fame. The organization recognizes influential business leaders as part of an annual ceremony dating back 34 years.

Krishnan, his algorithm two years ago, took second place at the STEM regional exhibition in the Hillsborough area. His high school grade point average was 3.9, with only A gaps.

“She is prepared, united, confident, well-intentioned for her work, for the world,” said Costanza, who helped Krishnan choose from dozens of Future Hall of Fame entrants.

Krishnan took the helm of his technical education early: on his own. Software software design lessons at: Carolwood Day School ignited his love of programming.

But the real breakthrough came at home, according to his mother, Sadana Ginde.

After homework, Krishnan read to math և economics, including textbooks on calculator-based financial modeling by mathematician Steven Srive. Youtube videos and online tutorials have helped her learn programming languages ​​relatively easily. He voluntarily left his friends to write and review a code.

“Incredibly focused,” Ginden said.

Our hour-by-hour algorithm came to life.

It works with Python և Quantopian programming languages, using random forest techniques, a learning method that determines the probability of one choice over another. The thinking behind the Behind project is inspired by a well-known fund diversification framework in the stock market called the Fama-French model.

“I, of course, adapted it to my own factors,” Krishnan said.

According to Ginde, Krishna’s algorithm is out of his field (“I do not understand anything about the project,” he said).

He knows her for her love of sushi sushi and watching football and tennis. He feels the pain of traveling, և growing up immersed in the worlds of classic novelists, les yul Verne, Charles Dickens և Shakespeare. Most of all, Krishnan “liked the idea of ​​technology playing a role in his life,” Ginden said.

And it always seems to be.

In August, he travels to Carnegie Mellon University to take advantage of a leading computer science program. There, Krishnan will wait for the approval of two patent applications for his algorithm and its possible application.

If all goes well, Krishnan’s algorithm will match the phone app քին smart device Amazon Amazon la Amazon Alexa or Echo Dot, which provide advice և help.

Device name? Kirby – after the initials of five famous computer scientists.

“You can ask [Kirby] questions, “Krishnan said. “What are my future goals?” Which style of risk do I want to use? How much should I invest? ”

The phone app will act as an automated investment service or offer investors an existing stock portfolio forecast. It can even break down an analytical report.

“There is a big risk when investing in shares yourself. “It’s supposed to provide a solid foundation for them – less anxiety,” Krishnan said. “You will know that your money is in good hands without any bad management.”