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This is Why Data Startups Are Disrupting Financial Analysis

A new generation of startups is making financial analysis easier, with open, collaborative and visually intuitive, cloud-based platforms.

Data Analytics Revolution

Among the new entrants is New York's Thinknum, a five-month old startup building an open financial analysis platform with Web 2.0 technologies to encourage users to share their models and insights.

"Quants already get data and get models. The pain point is really with the non-programmers in finance. We're building tools that target the financial people that don't know how to program," said Justin Zhen, cofounder of Thinknum. The startup is also targeting hedge funds and analysts who are struggling to update their models on spreadsheets and closed platforms. "With a hedge fund, there may be twenty people that want to show each other their models," says Zhen. "Hedge funds want to collaborate with people they trust. We're building communities of trust," says Zhen.

A graduate of Princeton University, who majored in financial engineering, Zhen worked at a hedge fund. He founded the company with Gregory Ugwi, who was a quantitative strategist at Goldman Sachs after majoring in math at Princeton. The idea for Thinknum was partially formedduring earnings season when Ugwi saw traders emailing spreadsheets and scrambling to update their models by hand. They bootstrapped the company with their own life savings. Now both are working out of the living room of their Manhattan apartment.

Thinknum has collected diverse data sets from 2,000 sources so far from a wide variety of public, government sources ranging from Swiss foreign exchange intervention to home prices by state. The startup is doing a lot of macroeconomic analysis of trends in the economy and pulling in XBRL data from SEC filings. "The goal is to collect data that no one else has access to," says Zhen.

The data is updated as earnings are released. One model on the site, known as cash flow model for securities valuations, allows someone to model the price of any stock, such as Google and then change it to a different stock. "It takes all of the inputs and spits out the intrinsic value of where the stock is going," says Zhen. While this can be done on a spreadsheet, "You cannot pull in the data as easily," insists Zhen.With its radically, open model, Thinknum is aiming to threaten the traditional closed data analysis platforms. "We think the next financial revolution is data analytics," says Zhen. "Currently solutions are extremely expensive. By being free and as open as we are, we will be able to reach a greater group of people," he says.

While Wall Street analysts aren't prone to sharing their models, people in finance are inherently social, says Zhen who has studied the rise of Stocktwits and Estimize where people are already sharing their insights. "The goal is to get a large pool of people and the larger the pool, the better the insights will come back." Thinknum has an algorithm that will rank the models, and ultimately rank the users on the site.


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"It's free for everyone to use, but the carrot is they have to share their analysis; they have to collaborate," says Zhen. Since many hedge fund and financial institutions don't like to share and never will share, Thinknum's business model is to charge them to remain private. Ivy is Editor-at-Large for Advanced Trading and Wall Street & Technology. Ivy is responsible for writing in-depth feature articles, daily blogs and news articles with a focus on automated trading in the capital markets. As an industry expert, Ivy has reported on a myriad ... View Full Bio

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IvySchmerken
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IvySchmerken,
User Rank: Author
2/24/2014 | 3:15:47 PM
re: This is Why Data Startups Are Disrupting Financial Analysis
Making life dramatically easier for institutional investors is definitely the way to attract attentions from customers. The quality and accuracy of the financial analysis is important, but without ease of use, why would anyone switch or take on a new provider? I agree that disruption doesn't mean destruction. Startups can partner with the larger financial information or software providers to gain distribution since they already have the audience.
IvySchmerken
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IvySchmerken,
User Rank: Author
2/24/2014 | 3:11:42 PM
re: This is Why Data Startups Are Disrupting Financial Analysis
I totally agree. Startups today can test their ideas with cloud-based infrastructure without incurring the cost of a fixed capital investment. This elastic model is helping startups scale up when they need to. They can develop their products, sales/marketing and distribution without allocating scant resources to servers and just keeping the lights on.
Nathan Golia
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Nathan Golia,
User Rank: Author
2/21/2014 | 3:44:09 AM
re: This is Why Data Startups Are Disrupting Financial Analysis
Yes, the cloud goes a long way in helping new entrants quickly fill the need for certain capabilities in markets. Defraying the cost of infrastructure goes a long way in making any company effective quickly.
ArielY766
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ArielY766,
User Rank: Apprentice
2/18/2014 | 2:56:03 PM
re: This is Why Data Startups Are Disrupting Financial Analysis
Excellent article on the power of cloud technology and innovation to radically change the ways that financial analysis is performed. Thetica Systems is proud to be one of those cloud based innovators, making life dramatically easier for institutional investors in ABS, CLO, RMBS and CMBS bonds.

I believe itG«÷s also important to note that disruption doesnG«÷t have to equal destruction. By working in partnership with leading industry providers, weG«÷ve been able to greatly enhance the experience for our mutual end users.
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