Sergey Savastiouk's Avatar
published in Blogs
Oct 15, 2018

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
John Jacques's Avatar
published in Blogs
May 16, 2022
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.
Edward Flores's Avatar
published in Blogs
Apr 29, 2022
How to Become the Millionaire Next Door

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Sergey Savastiouk's Avatar
published in Blogs
May 16, 2022
When Is the Next Recession Coming?

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Sergey Savastiouk's Avatar
published in Blogs
Mar 14, 2023
How to Start Trading Penny Stocks

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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.
Dmitry Perepelkin's Avatar
published in Blogs
Mar 14, 2023
5 Habits that Lead to Successful Investing

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Allana's Avatar
published in Blogs
Mar 23, 2023
What’s the Difference Between Data Analytics and Machine Learning?

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Sergey Savastiouk's Avatar
published in Blogs
Mar 13, 2023
4 Tips for Fast, Effective Stock Analysis

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With just a few clicks, an investor can search for individual stocks, categories of stocks, sectors, or investment themes, and then he or she can conduct a full range of technical and fundamental analysis within seconds.All powered by Artificial Intelligence.  Below, we give you 5 tips for fast, effective stock analysis using Tickeron’s Screener.
Sergey Savastiouk's Avatar
published in Blogs
Mar 20, 2023
5 Golden Principles in Investing

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You have enough faith in that stock, based on research, that the return will equal or exceed the investment.  Do unto others.The principles outlined here will ensure that happens.  Principle #1: Diversification Investors can’t be one-dimensional when constructing a portfolio.
John Jacques's Avatar
published in Blogs
Mar 24, 2023
If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

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Some of the world’s biggest financial institutions have devoted multi-million dollar budgets to developing algorithms that can find patterns in the market, identify trends, and perform automated trading designed to take advantage of even the smallest price movements. The AI revolution is so big that as it stands today, the world’s five biggest hedge funds all use systems-based approaches to trade financial markets.Indeed, quantitative trading hedge funds now manage $918 billion (according to HFR), which amounts to 30% of the $3 trillion hedge fund industry – a percentage continues to grow with each year that passes.
Sergey Savastiouk's Avatar
published in Blogs
Mar 15, 2023
The five most important Lessons Learned After 10,000 hours of Trading

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Ten thousand hours of active trading, broken down into forty-hour weeks, amounts to almost five years. Having surpassed that milestone myself, I now understand why it's significant for any trader's journey. The early years taught me valuable lessons that have shaped my approach to trading. It's a misconception that great traders are born with innate talent. The truth is that it takes years of...