Go to the list of all blogs
Abhoy Sarkar's Avatar
published in Blogs
Oct 20, 2022

IBM (IBM, $122.59) beats Q3 expectations

IBM  posted stronger-than-expected third quarter earnings. Revenues, too, beat expectations.

The software company’s adjusted earnings came in at $1.81 per share for the three months ending in September, topping the Street forecasts by around 3 cents per share.

Revenues rose +6% from the year-ago quarter to $14.1 billion, exceeding the Street consensus forecast of $13.5 billion. Revenues from the software segment climbed +7.5% to $5.8 billion. While Consulting revenues grew +5.4% to $4.7 billion. Revenues from Red Hat (the cloud computing firm that IBM acquired for $34 billion in 2019) increased +12%.

Looking ahead, IBM anticipates a stronger U.S. dollar will erode around 7% of  the group's full year earnings. However, the company b still expects to beat its previous forecast of "mid-single-digit growth" on a constant currency basis.

Related Ticker: IBM

IBM in upward trend: price rose above 50-day moving average on May 17, 2023

IBM moved above its 50-day moving average on May 17, 2023 date and that indicates a change from a downward trend to an upward trend. In of 39 similar past instances, the stock price increased further within the following month. The odds of a continued upward trend are .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on May 17, 2023. You may want to consider a long position or call options on IBM as a result. In of 81 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .

The Moving Average Convergence Divergence (MACD) for IBM just turned positive on May 15, 2023. Looking at past instances where IBM's MACD turned positive, the stock continued to rise in of 47 cases over the following month. The odds of a continued upward trend are .

The 10-day moving average for IBM crossed bullishly above the 50-day moving average on May 25, 2023. This indicates that the trend has shifted higher and could be considered a buy signal. In of 17 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are .

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where IBM advanced for three days, in of 326 cases, the price rose further within the following month. The odds of a continued upward trend are .

The Aroon Indicator entered an Uptrend today. In of 250 cases where IBM Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Bearish Trend Analysis

The RSI Indicator demonstrated that the stock has entered the overbought zone. This may point to a price pull-back soon.

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 12 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where IBM declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

IBM broke above its upper Bollinger Band on June 02, 2023. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

Fundamental Analysis (Ratings)

Fear & Greed

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is seriously undervalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (5.565) is normal, around the industry mean (3.984). P/E Ratio (59.172) is within average values for comparable stocks, (47.072). Projected Growth (PEG Ratio) (2.199) is also within normal values, averaging (1.495). Dividend Yield (0.050) settles around the average of (0.034) among similar stocks. P/S Ratio (1.999) is also within normal values, averaging (2.731).

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to outstanding earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 82, placing this stock slightly better than average.

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating fairly steady price growth. IBM’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating weak sales and an unprofitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.

Notable companies

The most notable companies in this group are Accenture PLC (NYSE:ACN), International Business Machines Corp (NYSE:IBM), Xerox Holdings Corp (NASDAQ:XRX), Unisys Corp (NYSE:UIS).

Industry description

The industry, whose total market cap runs into trillions, makes hardware/software that allows data to be stored, retrieved, transmitted, and manipulated on computers. With the ever-increasing relevance of data, the information technology (IT) industry has gained momentous growth over the years, and continues to thrive on innovation. Some of the behemoths in the industry are International Business Machines Corporation, Accenture, and VMware, Inc.

Market Cap

The average market capitalization across the Information Technology Services Industry is 7.17B. The market cap for tickers in the group ranges from 0 to 196.65B. ACN holds the highest valuation in this group at 196.65B. The lowest valued company is ARSC at 0.

High and low price notable news

The average weekly price growth across all stocks in the Information Technology Services Industry was 2%. For the same Industry, the average monthly price growth was 4%, and the average quarterly price growth was -3%. UTRX experienced the highest price growth at 124%, while NFTFF experienced the biggest fall at -42%.

Volume

The average weekly volume growth across all stocks in the Information Technology Services Industry was -50%. For the same stocks of the Industry, the average monthly volume growth was -58% and the average quarterly volume growth was -51%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 37
P/E Growth Rating: 64
Price Growth Rating: 50
SMR Rating: 70
Profit Risk Rating: 82
Seasonality Score: 4 (-100 ... +100)
View a ticker or compare two or three
Technical Analysis# Of IndicatorsAvg. Odds
   
   
Show details...
A.I.Advisor
published price charts
A.I. Advisor
published General Information

General Information

a manufacturer of various computer products through the use of advanced information technology

Industry InformationTechnologyServices

Profile
Fundamentals
Details
Industry
Information Technology Services
Address
One New Orchard Road
Phone
+1 914 499-1900
Employees
311300
Web
http://www.ibm.com
Interesting Tickers
1D
1W
1M
1Q
6M
1Y
5Y
1 Day
STOCK / NAMEPrice $Chg $Chg %
INNV7.520.79
+11.74%
InnovAge Holding Corp
TGAN4.110.29
+7.59%
Transphorm
BDC90.153.33
+3.84%
Belden
SNT1.420.03
+2.48%
Senstar Technologies Ltd
SU29.230.58
+2.02%
Suncor Energy

IBM and

Correlation & Price change

A.I.dvisor indicates that over the last year, IBM has been loosely correlated with ACN. These tickers have moved in lockstep 52% of the time. This A.I.-generated data suggests there is some statistical probability that if IBM jumps, then ACN could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To IBM
1D Price
Change %
IBM100%
+2.00%
ACN - IBM
52%
Loosely correlated
+2.03%
CDW - IBM
48%
Loosely correlated
+0.54%
GIB - IBM
48%
Loosely correlated
+1.56%
CTSH - IBM
46%
Loosely correlated
+2.52%
SAIC - IBM
44%
Loosely correlated
+2.56%
More
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.