MENU
Go to the list of all blogs
Vitalii Liubimov's Avatar
published in Blogs
Oct 10, 2019

VeriSign testing 52-week moving average ahead of earnings

The next earnings season is right around the corner. Over the next four weeks or so we will get earnings reports from well over half of the companies in the S&P 500. One company that will be reporting is VeriSign (Nasdaq: VRSN), the internet registry and infrastructure firm. The company is scheduled to release third quarter earnings results on October 24.

Before the company gets to that earnings release, the stock is facing some key support at its 52-week moving average. The stock hasn’t closed a week below that trend line since early 2017. Over the last two weeks the stock has dipped below the 52-week, but it hasn’t closed below it yet.

We see that the weekly stochastic readings are in oversold territory and at their lowest levels in the last three and a half years. The indicators did make a bullish crossover recently and such moves have been a good sign for the stock in the past.

The 10-week RSI isn’t in oversold territory yet, but it is at its lowest point since August of 2016.

Looking at some of the daily indicators, the 10-day RSI exited the oversold zone last week and that indicates that VeriSign price is in a transition from a downtrend to an uptrend. According to Tickeron, in 5 of 6 cases where the RSI Indicator exited the oversold zone, the price rose further within the following month. The odds of a continued uptrend are 83%.

We also see that the lower Bollinger Band was broken last week and that suggests a price increase is expected as the ticker heads toward the middle band. The Tickeron Technical Analysis Overview points out that in 21 of 33 cases where VeriSign's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued uptrend are 64%.

Looking at VeriSign’s fundamental indicators, the company has seen earnings grow by 17% per year over the last three years and they grew by 13% in the second quarter. Sales have been relatively flat, only growing by 3% per year over the last three years. The company does boast a profit margin of 65.4% and that is well above average.

The Tickeron Valuation Rating of 9 indicates that the company is seriously undervalued in the industry. A rating of 1 points to the most undervalued stocks, while a rating of 100 points to the most overvalued stocks. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization.

The Tickeron Profit vs. Risk Rating for VeriSign is 13 and that indicates low risk on high returns. The average Profit vs. Risk Rating for the industry is 86, placing this stock well better than average.

As for the sentiment toward VeriSign, we see a bit of mixed picture. There are only four analysts covering the stock which I find to be extremely low for a company that has been around since 1995 and trades over 600,000 shares a day on average. As for the ratings, there is one “buy” rating, two “hold” ratings, and one “sell” rating. This leaves plenty of room for additional coverage and upgrades.

The short interest ratio is currently at 1.79 and that is on the low side. The low ratio indicates a certain degree of optimism for the stock ahead of the earnings report.

Related Ticker: VRSN

VRSN's MACD Histogram crosses above signal line

The Moving Average Convergence Divergence (MACD) for VRSN turned positive on July 26, 2024. Looking at past instances where VRSN's MACD turned positive, the stock continued to rise in of 42 cases over the following month. The odds of a continued upward trend are .

Price Prediction Chart
Show more

Notable companies

The most notable companies in this group are Microsoft Corp (NASDAQ:MSFT), Oracle Corp (NYSE:ORCL), Salesforce (NYSE:CRM), Adobe (NASDAQ:ADBE), Intuit (NASDAQ:INTU), Uber Technologies (NYSE:UBER), SERVICENOW (NYSE:NOW), Shopify (NYSE:SHOP), Palo Alto Networks (NASDAQ:PANW), CrowdStrike Holdings (NASDAQ:CRWD).

Industry description

Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.

Market Cap

The average market capitalization across the Packaged Software Industry is 10.66B. The market cap for tickers in the group ranges from 291 to 3.15T. MSFT holds the highest valuation in this group at 3.15T. The lowest valued company is BLGI at 291.

High and low price notable news

The average weekly price growth across all stocks in the Packaged Software Industry was 2%. For the same Industry, the average monthly price growth was 4%, and the average quarterly price growth was 4%. CMAX experienced the highest price growth at 220%, while NXTT experienced the biggest fall at -64%.

Volume

The average weekly volume growth across all stocks in the Packaged Software Industry was -6%. For the same stocks of the Industry, the average monthly volume growth was 10% and the average quarterly volume growth was 20%

Fundamental Analysis Ratings

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

Valuation Rating: 52
P/E Growth Rating: 74
Price Growth Rating: 58
SMR Rating: 82
Profit Risk Rating: 89
Seasonality Score: 1 (-100 ... +100)
View a ticker or compare two or three
VRSN
Daily Signalchanged days ago
Gain/Loss if shorted
Show more...
Ad is loading...
A.I.Advisor
published price charts
A.I. Advisor
published General Information

General Information

a provider of internet infrastructure services

Industry PackagedSoftware

Profile
Fundamentals
Details
Industry
Internet Software Or Services
Address
12061 Bluemont Way
Phone
+1 703 948-3200
Employees
908
Web
https://www.verisign.com
Ad is loading...
Dive into the world of trading excellence with our Best AI Robot of the week! In a market characterized by growth, the key to maximizing profits lies not only in mainstream large-cap stocks but also in exploring opportunities across different market segments.
This article delves into the performance of AI trading robots, specifically those utilizing the "Swing trader: Long-Short Equity Strategy (TA&FA)." These bots showcased their prowess by delivering a notable +4.98% gain while engaging in MRNA trades over the previous week. Beyond mere statistics, we explore the technical indicators and recent earnings report of MRNA to shed light on the underlying dynamics influencing the stock.
Artificial intelligence (AI) trading bots have become powerful tools for investors seeking active trading opportunities. In a recent analysis conducted on the "Day Trader: High Volatility Stocks for Active Trading (TA&FA)" platform, AI trading bots exhibited impressive performance, generating a noteworthy +4.81% gain while actively trading Shopify (SHOP) over the course of the previous week.
In the dynamic world of finance, strategic asset acquisition is a game-changer. Recently, a group of stocks within this domain has been in the spotlight, showcasing notable performances and intriguing patterns. This article delves into the recent movements of these stocks, focusing on key indicators, market capitalization, notable price events, and volume dynamics.
The Tickeron quant team is delighted to introduce our best robot of the week tailored for Trend Traders. Our sophisticated AI Robot, has been designed for manual trading enthusiasts who value independent signal selection.
Tickeron's Quant team is delighted to introduce our latest AI-powered robot designed for trading small-cap stocks, employing a distinctive fundamental stock analysis algorithm. This algorithm, renowned for its blend of in-depth analysis and intuitive signal-following capabilities, is well-suited for both novice and seasoned traders.
The Tickeron quant team proudly presents our top-performing AI robot for swing traders. This robot stands out with its remarkable accuracy, empowering traders to capitalize on diverse market conditions and transaction types. Demonstrating its proficiency, it achieved profitability in short trades during last week's strong uptrend in the US stock markets.
One such example is the "Trend Trader: Popular Stocks (TA&FA)" platform, where AI trading robots demonstrated their prowess by generating a notable gain while actively trading Adobe Inc. (ADBE) over the previous week. In this article, we delve into a technical analysis of ADBE's recent performance, shedding light on key indicators and recent earnings results.
​​​​​​​The railroads sector, encompassing prominent players such as Canadian Pacific Railway (CP), CSX Corporation (CSX), Norfolk Southern Corporation (NSC), Canadian National Railway Company (CNI), and Union Pacific Corporation (UNP), has undergone a noteworthy surge in performance over the past week. However, a closer examination reveals a complex landscape marked by negative outlook signals and fluctuating market dynamics.
The Tickeron quant team is excited to introduce our premier AI robot, specifically optimized for Swing Traders. This tool represents the pinnacle of our technological advancements in trading algorithms. Excelling in the market, it has achieved an impressive feat, earning twice as much as the S&P 500 in just the past week.
The portable device sector, encompassing companies involved in the production and sale of portable devices, witnessed a notable performance surge of +8.63% over the past week. This surge was led by prominent players including Apple (AAPL), CEVA, and Generac Holdings (GNRC). Despite this recent uptick, however, the sector currently faces a negative outlook, as indicated by various technical indicators and market sentiment analyses.
In the whirlwind of the current mergers and acquisitions frenzy, investors are reaping substantial rewards as stocks within the merger industry theme surged by an impressive 20.9% on average over the past month.
The Tickeron quant team is delighted to introduce our top-performing AI robot tailored for beginners. Our AI Robot specializes in navigating the high-tech stocks within the NASDAQ 100 index, renowned for their liquidity and moderate volatility—making them an ideal choice for novice traders.
In the dynamic landscape of the US stock markets, where unpredictability has become the norm, finding a trading strategy that not only thrives in periods of growth but also shields against sharp corrections is paramount.
The Tickeron quant team proudly introduces our premier AI Robot, tailor-made for trend traders who prefer manual trading and selecting their own signals. This AI Robot stands out with its impressive track record of consistent trading predictions, empowering traders to align their decisions with personal preferences.
Tickeron is excited to highlight the exceptional performance of our top AI robot this week, given the recent downturn in major US stock indices. While the SP500, NASDAQ 100, and Dow Jones Industrial all experienced declines, our AI robot, thanks to its well-calibrated diversification across various industries, demonstrated remarkable resilience.
As the trading week came to a close on Friday, there were notable movements across various asset classes:
Tickeron's quant team diligently monitors developed trading algorithms daily to determine the most effective ones. Today, we are delighted to present three of the best robots tailored for swing traders, showcasing consistently positive results over several months, irrespective of market conditions. This week, they underscored their efficacy by yielding impressive gains across various stocks, even as major US stock indexes dipped.
Tickeron is excited to highlight the exceptional performance of our top AI robot this week. The US stock market has experienced a consistent upward trend for the past five months, heightening the anticipation of a forthcoming correction with each passing day.
Introducing our top-performing best AI Robot of the week, designed by Tickeron's expert quant team for trading small-cap stocks. This algorithm blends classical and proprietary technical indicators, honed through advanced machine learning, to empower users with effective portfolio diversification and maximum profitability in the dynamic market.