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

published in Blogs

Dec 12, 2018

Apple Could Find Support at a Long-Term Moving Average, but a Bounce Could Hit Trouble

Over the last decade or so, Apple (Nasdaq: AAPL) has become one of the biggest bellwether stocks for the overall market and especially for the tech sector. In the last two months, the stock has fallen over 25% from its October 1 high. This development is part of the reason investors are nervous about the stock, the tech sector, and the overall market.

There could be some good news for the stock from a technical perspective. For the first time in a couple of years, the stock’s 104-week moving average is coming in to play. We saw a similar pattern develop in mid-2015 when the stock dropped down below the moving average, but didn’t close a week below it.

The unfortunate side of that development was that when the stock did bounce back, the 52-week moving average acted as resistance on its first attempt at a rebound. After hitting the 52-week, the stock dropped again from November ’15 through February ’16.

After that dip it made another attempt to rebound and once again the 52-week moving average stopped the rally in April ’16.

Apple’s fundamentals are still really good, but the earnings growth has slowed in recent years. The company’s annual earnings have averaged 8% over the last three years while sales have grown at 4% per year over that same period.

The real strengths are in the profitability measurements with a return on equity of 49.4% and a profit margin of 27.4%.

Overall I see a mixed picture for Apple. The technical picture suggests we could see a short-lived bounce that gets halted by the 52-week moving average. The fundamentals are good, but the earnings and sales growth rates have slowed in recent years.

Related Tickers: AAPL

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...