Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Oct 15, 2018
VCs Say These Are the Next Big Trends in Fintech

VCs Say These Are the Next Big Trends in Fintech

Fintech is enjoying an exciting period of growth. Venture capital contributions are not only up year-to-year – as evidenced by an increase in funding from $1.9 billion in 2010 to $27.5 billion in 2017, according to Forbes – they are up significantly. KPMG’s twice-yearly Pulse of Fintech report detailed a total of $122 billion in funding for fintech companies since 2015, as well as a major uptick in private equity and mergers and acquisitions deals through Q1 and Q2 2018, already exceeding 2017’s totals.

The rise of smartphones, as well as Big Data, cloud computing, AI, and blockchain, are making financial transactions quicker and more efficient than ever. Fintech encompasses many different sub-categories of business, and while some areas, like lending, have fallen out of fashion at the moment, others are just heating up.

Insurance is one arm of fintech enjoying a period of growth. Blockchain is a natural fit for the space – with the advent of smart contracts (like those programmable on Ethereum’s blockchain) that don’t need oversight to ensure they behave as intended, there is considerable potential to automate previously labor-intensive processes, like paying out claims.

Patricia Kemp, a general partner at venture capital firm Oak HC/FT, said at Forbes’ 30 Under 30 Summit that insurance is a “terrific use case” – provided fundamental aspects change first. “70 percent of the cost of insurance is moving paper around,” said Kemp. “So there’s all this innovation needed in just the basics before you even get to something like smart contracts.” Companies like Lemonade, who offer renters and home insurance policies, have recently expanded operations – Oak has also invested in startups like Trov and Clara Analytics, who use artificial intelligence and machine learning to provide “on-demand, single-item insurance” and reduce operating costs for managing claims, respectively.

Merritt Hummer, a principal at Bain Capital Ventures, told Forbes’ 30 Under 30 Summit attendees that real estate has risen to the top of investors’ minds “in the past 12 to 18 months”, with both existing VC firms and real estate companies founding their own funds. Beneficiaries include San Francisco’s Opendoor, which allows users to buy and sell homes while bypassing the traditional, slow real estate market (and is now valued at over $2 billion). Companies like LendingHome are streamlining the process of securing a mortgage, while other platforms simplify the processes of investing in and viewing real estate by bringing them into the digital world – often by eliminating labor-intensive, paper-centric workflows.

We seem to be seeing only the tip of the fintech innovation. Simplifying complicated tasks in insurance, real estate, and more with creative, innovative products points to an exciting future for fintech investors, companies, and customers alike.
 

The Investment Industry is Also Benefiting from Innovation in Fintech

Hedge funds and large institutional investors have been using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed A.I. on charts to discover patterns and trends. Not only can the A.I. scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generates trade ideas based on what it finds. Hedge funds have had a leg-up on the retail investor for some time now.

Not anymore. Tickeron has launched a new investment platform, and it is designed to give retail investors access to sophisticated AI for a multitude of functions:

And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Learn how on Tickeron.com.

Related Portfolios: TECHNOLOGY ETFs
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Mar 07, 2021
4 Tricks Hedge Funds Use to Get Ahead

4 Tricks Hedge Funds Use to Get Ahead

If the stock market were Major League Baseball, hedge funds and institutional investors would be the pros on championship teams while everyday self-directed investors (SDIs) are the benchwarmers in the minors.It’s how they get ahead, and it’s why 90% of SDIs lose money trying to play (invest and trade) in the major leagues. The 4 tricks we discuss below are rooted in one common theme: they all use Artificial Intelligence and algorithms to generate data and ideas.
John Jacques's Avatar
John Jacques
published in Blogs
Mar 22, 2018
A.I. Stock Market Predictions: Head & Shoulders

A.I. Stock Market Predictions: Head & Shoulders

Statistics for the Head-and-Shoulders Bottom Pattern The days where only hedge funds used algorithms to trade stocks are officially over. Now retail investors can use Artificial Intelligence (A.I.  Here’s an example of the algorithm in action: Late last year, Tickeron’s A.I.
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Jul 10, 2020
3 Stocks to Buy if Coronavirus Second Wave Hits

3 Stocks to Buy if Coronavirus Second Wave Hits

By analyzing market trends from the first wave, you can predict behavior for the second. Technology stocks have performed at historic levels this year, but the market is severely overbought.To compensate for that, look at performance during Q1 and Q2, the height of global Covid shutdowns.
Edward Flores's Avatar
Edward Flores
published in Blogs
Feb 06, 2021
How to Become the Millionaire Next Door

How to Become the Millionaire Next Door

The Golden Gate Bridge is always a fixture of these walks too, one of man's most beautiful creations.  As we were walking, at one point she turned to me and said, "Man, I'll never have a million dollars."" My girlfriend is 27 years old and works as a graphic designer, making about $75,000 a year.
Alla Petriaieva's Avatar
Alla Petriaieva
published in Blogs
Feb 23, 2021
Is Ethereum’s Bomb about to Explode?

Is Ethereum’s Bomb about to Explode?

Ethereum’s software is set for an update in October.Until it is finished, participants in the Ethereum blockchain must determine how to delay the difficulty bomb – code that necessitates a steadily increasing amount of computer power to mine blocks and unlock rewards – that is already in place.
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Aug 07, 2018
When Is the Next Recession Coming?

When Is the Next Recession Coming?

However, we also know that economists predicted 22 recessions out of 11 that took place since 1945. Are there real recession signs we should watch for?Indeed, the answer is yes, and here are a few very important ones: The first one is almost obvious and known to everyone – it is the Fed.
Abhoy Sarkar's Avatar
Abhoy Sarkar
published in Blogs
May 22, 2020
Central banks have been buying $2.4 billion in assets every hour for the past two months

Central banks have been buying $2.4 billion in assets every hour for the past two months

Some $17.8 billion has been poured into  bond markets over the past week, the biggest move in more than three months.Around $3.5 billion has been invested into gold, the second largest on record. 
Rick Pendergraft's Avatar
Rick Pendergraft
published in Blogs
Feb 07, 2021
Mid-January Short Interest Report Shows 8 Stocks with Good Fundamentals and High Short Interest
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Mar 10, 2021
How to Start Trading Penny Stocks

How to Start Trading Penny Stocks

Penny stocks have long been marginalized within the professional investment community, oftentimes being painted with a broad brush of simply being “too risky.” Leonardo DiCaprio’s depiction of the penny stock peddling conman, Jordan Belfort, in the Wolf of Wall Street certainly didn’t help.Here are four reasons to start trading them now. Reason #1: Let’s State the Obvious -- Penny Stocks are Cheap A single share of Apple Inc. costs over $350.
Abhoy Sarkar's Avatar
Abhoy Sarkar
published in Blogs
May 08, 2020
US unemployment rate jumps to 14.7%, the highest in series history

US unemployment rate jumps to 14.7%, the highest in series history

The U.S. economy’s employment fell by -20.5 million in April. The coronavirus crisis led to unemployment rate soaring to 14.7% in the U.S, the highest rate in the Bureau of Labor Statistics-tracked series history that goes back to 1948. However, the figures were better compared to several economists'/analysts' forecasts of 22 million job losses and 16% unemployment rate.  Another unemployment measure that includes those who have stopped looking for work as well as those holding part-time jobs for economic reasons also touched an all-time high of 22.8%.