Find your way Market Summary What`s new AI Robots 1-on-1 lessons Help Sale

published in Blogs

Jun 15, 2018

Ripple Gets Adopted for Cross-Border Payments

Ripple may not grip the public consciousness to the extent that Bitcoin does, but recent announcements stand to increase its profile. Kuwait’s first Islamic bank, the Kuwait Finance House (KFH) revealed in May that they had joined RippleNet, the blockchain network created by Ripple, for international remittance payments. The announcement came shortly after The National Bank of Kuwait declared their own plans to adopt xCurrent for instant cross-border payments for its customers.

RippleNet, a SWIFT-replacement global blockchain network, is used by over 100 financial institutions to clear and settle international transactions in real time, all with the benefit of end-to-end visibility for each payment. KFH touted RippleNet’s ability to provide faster, more efficient, secure, and transparent payments to its clients, all at a significantly lower cost than more traditional services. More specific details of the transaction have yet to be announced – while KFH has announced the Central Bank of Kuwait will need to approve the use of any RippleNet services, it is unclear if KFH will use xCurrent, Ripple’s software offering enabling settlement in fiat currency, or xRapid, which uses Ripple’s XRP token to offer instant liquidity in cross-border transactions.

Kuwait is not the first country in the Middle East to adopt RippleNet. The UAE Exchange joined the service in February 2018, while RAK Bank, the United Arab Emirates-based lender, joined the network in September 2017 to facilitate “instant, frictionless and secure money transfer services” to recipients banking with India’s Axis Bank (also a RippleNet member). The Saudi Arabian Monetary Authority, for all intents and purposes the central bank of Saudi Arabia, became the first central bank in the world to join RippleNet – it also utilizes the xCurrent service in conjunction with other regional banks.

Ripple’s first quarter in 2018 was a mixed bag. It made huge strides operationally, signing nearly two dozen first-time production contracts as its international partnerships, including one with remittance giant MoneyGram, continue to grow. Its XRP token, however, has mirrored the rest of the rapidly-changing crypto world with its volatility. This is partially due to price correlation between bitcoin and other cryptocurrencies – an association that Ripple CEO Brad Garlinghouse believes may be ending as investors better understand the independent use cases for each cryptocurrency. “It’s still a nascent industry…the speculation in the market dominates the trading activity. I think it’s a matter of time until people better understand the different use cases,” Garlinghouse told CNBC. Ripple is positioning itself for a bright future, growing pains be damned, offering a window into blockchain’s potential.

Learn More about Cryptocurrencies – and How to Invest – on Tickeron.com

Before investing in cryptocurrencies, it’s important to know the rules of the road and how the crypto world works. Taking the time to learn will help you avoid making a mistake or losing money because of insufficient knowledge. Tickeron’s Academy, on tickeron.com, is the place to go to learn more about the cryptocurrency and blockchain revolutions, and even how you can use algorithms and AI to invest in cryptocurrencies. Humans make mistakes because of emotions – Artificial Intelligence takes emotion out of the equation.

Tickeron has created Artificial Intelligence capable of finding trade patterns and generating investment ideas for the cryptocurrency markets. Ready to trade? Start a free trial today on tickeron.com.

Related Tickers: XRP.X

John Jacques

published in Blogs

May 16, 2022

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

published in Blogs

Apr 29, 2022

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.

Sergey Savastiouk

published in Blogs

May 16, 2022

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.

Sergey Savastiouk

published in Blogs

Mar 14, 2023

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.

Dmitry Perepelkin

published in Blogs

Mar 14, 2023

5 Habits that Lead to Successful Investing

To consistently make money in this industry, you need emotional fortitude, an analytical mind, and a willingness to self-reflect. Despite trading and investing being two different activities, these principles can be applied to both.Conversely, investors with good habits often become great traders. Rather than full sentences for titles, we’ve labeled each of our top-five investing habits using a single word principle.

Allana

published in Blogs

Mar 23, 2023

What’s the Difference Between Data Analytics and Machine Learning?

Artificial intelligence (AI) technology is developing rapidly.Data mining can deliver raw numbers, but it does not necessarily provide actionable insights. Structure is necessary to taking abstract information and extracting commonalities, like averages, ratios, and percentages.

Sergey Savastiouk

published in Blogs

Mar 13, 2023

4 Tips for Fast, Effective Stock Analysis

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

published in Blogs

Mar 20, 2023

5 Golden Principles in Investing

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

published in Blogs

Mar 24, 2023

If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

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

published in Blogs

Mar 15, 2023

The five most important Lessons Learned After 10,000 hours of Trading

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...