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Allana's Avatar
published in Blogs
Mar 23, 2023

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

"Artificial Intelligence (AI) technology is advancing at an unprecedented rate, revolutionizing industries worldwide. With its proven effectiveness and decreasing risk, businesses are eagerly integrating it into their operations. However, to leverage its potential, it's crucial to differentiate between data analytics (along with predictive analytics) and machine learning. By understanding this distinction, companies can effectively utilize AI to achieve tangible results."

Data Analytics

Data analytics is ubiquitous in today's world, with a plethora of readily available products providing a wealth of data to its users. Marketers, for instance, have access to a wide range of tools such as Google Analytics, MailChimp, and other dashboard-based systems, ensuring a constant supply of data. However, while data mining can provide raw numbers, it does not necessarily offer actionable insights.

To extract commonalities such as averages, ratios, and percentages from abstract information, structure is essential. Aggregation, on the other hand, enables the identification of patterns and exploration of variables to deliver targeted and impactful analysis. Nevertheless, most data analysis is descriptive and requires information about past events to yield insights. Additionally, the process is human-based, where people propose assumptions, then test their validity using data.

Predictive analytics, on the other hand, collects data to test and predict future outcomes. Human analysts engage with data to validate patterns and formulate hypotheses based on the assumption that future events will follow the same patterns. However, predictions are limited by various constraints, including the volume of information, time limitations, and cost considerations. Going into detail means an increased cost or time investment, which limits the predictive scope.

Machine Learning

"Machine learning is like predictive analytics on steroids. By setting parameters and letting AI systems automatically make and test assumptions, humans can learn from the results without any additional interaction. Thanks to its lightning-fast data testing and retesting capabilities, machine learning makes predictive analytics incredibly efficient and cost-effective.

The speed and autonomy of machine learning allows for a level of data analysis that surpasses human capabilities. This means that insights are stronger and more certain than ever before.

In addition to automating simple tasks that previously required human intervention, machine learning can also uncover new knowledge from existing data and analyze a range of data types, including audio, video, and images. With its ability to handle massive amounts of data, machine learning is a game-changer for businesses of all kinds."

These edits clarify the benefits of machine learning and highlight its potential impact on businesses.

How the A.I.-Driven Revolution is Happening in Finance

The Finance Revolution: How Artificial Intelligence is Changing the Game

Artificial Intelligence (A.I.) is transforming the way hedge funds and large institutional investors analyze data to uncover profitable investment opportunities. With the ability to scan thousands of individual securities and cryptocurrencies for patterns and trends, A.I. generates trade ideas that have given these investors a significant advantage over retail investors.

But the game is changing. Tickeron has launched an innovative investment platform that gives everyday investors access to sophisticated A.I. for a range of functions previously reserved for institutional players:

  • Identifying stock patterns and trends in the market
  • Testing portfolios to ensure they are well-diversified
  • Back-testing trading strategies to evaluate their effectiveness
  • Making predictions on future price movements with A.I. Rank and a level of confidence in the trade

And much more. Retail investors no longer have to be at a disadvantage in the financial markets. They too can harness the power of A.I. to make informed investment decisions.

Don't miss out on this finance revolution. Visit Tickeron.com to learn more about how you can access cutting-edge A.I. technology for your investment portfolio.

Tickeron's Products

The main idea behind technical analysis is the ability to find recurring price patterns and trends and use them to predict the direction of future market trends. We started with the creation of AI-based Engines (Pattern Search Engine, Real-Time Patterns, Trend Prediction Engine) that allow us to effectively analyze market trends.  We then have explored almost all existing methods (price patterns, trend indicators, oscillators, and many others) using neural networks and deep historical backtests. As a result, it was possible to form a pool of trading algorithms that together allow our AI Robots to effectively determine the key points of change in market trends.

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

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

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

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's Avatar
published in Blogs
Mar 20, 2023
5 Golden Principles in Investing

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's Avatar
published in Blogs
Mar 24, 2023
If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

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's Avatar
published in Blogs
Mar 15, 2023
The five most important Lessons Learned After 10,000 hours of Trading

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...
Edward Flores's Avatar
published in Blogs
Mar 12, 2023
What's the Difference Between Tokens and Altcoins?

What's the Difference Between Tokens and Altcoins?

Between their inherently technical nature, multiple varieties and sub-varieties, and endless terminology, cryptocurrency (defined here as digital or virtual currencies that are encrypted using cryptography, powered by the immutable digital ledger known as the blockchain) represents a whole, complex world.All altcoins possess their own blockchain, independent from their source code, that records all transactions of their native coins. Many altcoins are variants, or forks, of Bitcoin that leverage that cryptocurrency’s open-source protocol as the basis.
Edward Flores's Avatar
published in Blogs
Mar 26, 2023
Why it Pays to Invest in Dividend Stocks Over the Long Term

Why it Pays to Invest in Dividend Stocks Over the Long Term

Where smaller, more volatile companies can placate shareholders with higher returns, larger companies often use dividend payouts to entice new investors and hold their existing ones. These low-risk options may not work for every investment approach, but dividend-producing stocks can offer great benefits under the right circumstances – especially for portfolios built for the long-term.Beyond the ability to rely on these semi-regular payouts as an income stream – a strategy favored by retirees – dividends are an excellent vehicle for compounding earnings through reinvestment.
Edward Flores's Avatar
published in Blogs
Apr 02, 2023
How Artificial Intelligence Can Improve Fintech

How Artificial Intelligence Can Improve Fintech

Artificial intelligence (AI) and fintech have an inherent compatibility that has become clearer as each sector has matured, with recent growth and successes on their own accord bringing new ideas about how they can work together.AI can analyze information at far greater quantities (and far more quickly) than any human, making it a natural fit to help fintech firms streamline and automate processes that benefit customers and businesses alike. Fintech has brought a revolution of convenience to the finance world.