Tech Talk: Investing in stocks just got easier

The financial engine tracks and ranks the performance of more than 4,000 financial analysts, 5,000 financial bloggers, and 35,000 corporate insiders.

Investing in Gold (photo credit: PR)
Investing in Gold
(photo credit: PR)
More has been written about the stock market than at any other time. Investors of all types are inundated with information, commentary and analysis on thousands of stocks.
Sifting through this flood of data to discover which experts are right more often – and have higher returns – is the service Tel Aviv-based TipRanks provides to users. Web-based TipRanks is a comprehensive, data-driven investment tool that measures the accuracy of published financial advice.
The financial engine tracks and ranks the performance of more than 4,000 financial analysts, 5,000 financial bloggers, and 35,000 corporate insiders.
As with so many of Israel’s startups, TipRanks emerged at the intersection of need and curiosity. Several years ago, CEO and founder Uri Gruenbaum was looking for a better way to make investment decisions after his wife asked him why he trusted certain stock analysts. Lacking an objective, data-driven tool for ranking stock market experts, he teamed up with Gilad Gat and received input from Roni Michaely, a finance professor at Cornell University, and launched TipRanks. The fintech startup attracted the attention of former New York governor Eliot Spitzer and Israel’s largest bank – Bank Hapoalim.
TipRanks now employs more than 30 people in Israel, US and Australia. The core of Tip- Ranks is crowd wisdom. The engine analyzes the forecasts, insights, news and opinions from tens of thousands of sources (including bloggers on Seeking Alpha, Motley Fool and Yahoo Finance). The financial engine parses the data further, including the rating of insiders and by their past trading accuracy. This analysis enables subscribers to use the site to align their strategies with those of others, such as corporate officers with good investment track records. Tip- Ranks recently released a tool called Smart Portfolio that provides a new way for individual investors to track the growth of their investments, analyze real-time news investments, and compare their portfolio with that of their peers.
The new feature It integrates an existing online brokerage portfolio-including Fidelity, Schwab and E*Trade with TipRanks’s tools, allowing an investor to manage returns in real time using an automated investment adviser while maintaining individual control. “We see Tip- Ranks becoming the Amazon for investment advice,” said Gruenbaum. TipRanks was recently named, together with eight other Israeli fintech companies as one of the 100 disrupting fintech companies for 2016 by KPMG.
AnyClip AnyClip, the world’s first personalized, content-driven video advertising platform, has been ranked 14th on the Deloitte Technology Fast 500T EMEA list, a ranking of the 500 fastest-growing technology, media, telecommunications, life sciences and energy tech companies in Europe, the Middle East and Africa (EMEA).
The honor is based on Any- Clip’s 5,141% revenue growth during the past four years.
“As video advertising continues its path to dominance, we are confident in our ability to understand and personalize video content,” said AnyClip’s president and CEO Gil Becker.
“Bringing stakeholders’ experiences that are compelling and will keep our company on this incredible trajectory.”
Paul Sallomi, vice chairman of Deloitte LLP, said: “Innovation is more than technological advancement; it’s also a state of mind.”
He added: “The winners of the Deloitte Technology Fast 500 program in EMEA recognize that this new type of thinking is essential for business success. We look forward to your continued leadership in introducing new tools that can enhance the personal lives of consumers and drive growth for companies worldwide.”
AnyClip’s placement on the Technology Fast 500 EMEA list follows the company’s second-place position on the Deloitte Israel Technology Fast 50T list. In addition to the revenue growth rate recognized by Deloitte, AnyClip has significantly expanded its business globally over the past four years, bringing more relevant and engaging video ads to over 100 million users. To support this rapid growth, AnyClip also extended its corporate footprint in 2016, establishing offices in New York and London.
VocalZoom VocalZoom, a leading supplier of Human-to-Machine Communication (HMC) optical sensors that enable a more natural, personalized and secure voice-control experience, today announced voice biometrics technology using its optical sensor that performs all voice-print acquisition and embedded template matching.
This means it nearly eliminates the microphones and noise reduction software of traditional acoustic solutions, and takes voice-print verification out of an external processor or cloud-based server to the security of an embedded, match-in-sensor architecture.
“We all want the simplicity of authenticating applications and services with our voice, but until now, solutions have been complex and expensive, are not reliable in noisy environments, and are vulnerable to cloned voice-prints,” said Tal Bakish, VocalZoom CEO.
“VocalZoom plans to deliver the industry’s first speaker verification sensor using a matchin- sensor architecture, which will drive a paradigm shift in behavioral authentication,” he added.
VocalZoom’s patented VoiceMatch-in-Sensor technology for embedded speaker verification products acquires data from users during the biometric enrollment process as their facial skin vibrates during speech.
The VocalZoom optical HMC sensor converts this data into a voice-print associated only with the person who was actually speaking, and stores it inside the sensor.
This enables the sensor to meet FIDO compliance requirements, enabling easy plug-and-play installation as compared to existing fingerprint or other biometric sensors that don’t offer secure embedded biometric acquisition and template matching.
Each time users authenticate, a voice-print is again acquired in real time, again optically confirmed to be from a living person rather than a recording, and then securely matched inside the sensor solution against information in its embedded template to verify the user and complete the authentication process.
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Translated by Hannah Hochner.