Alla Petriaieva's Avatar
Alla Petriaieva
published in Blogs
Feb 16, 2021
Bank Use Cases for Blockchain

Bank Use Cases for Blockchain

How Banks Should be Using Blockchain

Blockchain is no longer just for cryptocurrency. Businesses of all types can enjoy its benefits, and banks are quickly adopting the technology to reach new markets, reduce transaction times, and become more efficient. Let’s examine different ways banks can use blockchain’s speed and security to enhance their businesses, as well as their customers’ experiences.

 

Trade Finance

Domestic and international trade transactions are typically manual, process-oriented, and detail-heavy. Assembling certain documents, like corporate trade financing letters of credit, means multiple, paper-based steps. Losing details in the cracks is a looming danger, and the process is laborious. This can make financing especially difficult for the roughly half of smaller enterprise businesses without credit.

“Smart” contracts built on blockchain allow parties to securely and automatically store, and quickly exchange, contract details in real-time. Streamlining coordination and processes means easier, safer, frictionless transactions between small enterprises, while the encrypted blockchain ledger tracks every transaction detail, permanently.

 

Privacy and Safety

Customers demand protection from identity theft – but not at the expense of a compromised user experience. Everyday banking practices, from opening a new account to transferring clients’ information between banks, requires strict identity confirmation, but repeated requests for identifying information means transaction delays, and potentially-annoyed clients.

Blockchain consolidates and stores all client identification, while not storing the actual information itself. Consumers can prove their identity through a thorough, initial verification process with their bank, and using managed access, choose to share (or not share) that information with other parties. The security and trust engendered by blockchain mean companies can approve this pre-verified information quickly and easily, leading to increased convenience for customers, and a better overall experience.

 

 

Payments

Digital payments are popular and increasingly safe, but sending money between individuals, especially internationally, remains an imperfect process. Exchange rates, border crossings, and varied institutions with different internal processes means delays as details are reconciled – not to mention high costs in the event of a dispute. Above all, it can be difficult to fully trust the parties involved when transacting in new or unfamiliar territories.

Blockchain imbues the transaction process with a measure of certainty for everyone involved. Each party can view the single, immutable ledger as it is updated – there is no confusion or forgotten details, as transactions are completed in real-time. The premium placed on security means lower risk for participants, and removal of inefficiencies allows for lower-cost, higher-volume transactions.

The future is bright for blockchain in the financial sector. Banks are rapidly discovering its benefits as they implement it to reduce inefficiencies, speed transaction times, engage with new markets, and provide a better, more-secure customer experience. These use cases appear to be the tip of the iceberg for blockchain in banking…and beyond.  

Want to Learn More? Access Tickeron’s Academy on tickeron.com to learn more about the cryptocurrency and blockchain revolution, and even how you can use algorithms and AI to invest.

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%.
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