Rick Pendergraft's Avatar
published in Blogs
Nov 18, 2020

Twitter Stabilizes After Post-Earnings Drop

When Twitter (TWTR) announced third quarter earnings results on October 29, investors were disappointed. The company’s EPS figure came up short of estimates and user growth was well below expectations. This sent the stock tumbling 21.1% on October 30 and it dropped another 4.6% on November 2—the next trading day.

After those two big declines, the stock bounced back a little and appears to have stabilized in the $42.50 to $45 range in the last few weeks. What I found interesting is where the low in the stock came on November 2. That low connects nicely with the lows from March and June.

The chart shows how the trend line is part of a trend channel that has helped guide the stock higher over the last eight months. The stock is currently hovering just above the lower rail and just below the 50-day moving average.

From a fundamental perspective, Tickeron’s fundamental analysis screener shows the stock has almost all neutral readings in seven different categories. It doesn’t have any positive readings and it only has one negative reading—the outlook rating. A few areas where Twitter does rank above average are its return on equity, sales growth, and profit margin.

The ROE is at 24%, the company has seen sales grow by 14% per year over the last three years, and the profit margin is 25.7%. The combination of those indicators has the SMR Rating right on the brink of being in the positive range rather than a neutral reading.

The technical analysis screener looks much better for Twitter with four bullish signals over the last few weeks. The stochastic indicators generated a bullish signal on November 12. The Bollinger Bands generated a bullish signal on October 30. The Momentum Indicator generated a bullish signal on November 13 and the AROON Indicator generated a bullish signal on November 2.

In addition to the bullish signals from the various technical indicators, Tickeron’s AI Prediction generated a monthly bullish signal on November 18. The signal puts the  probability of success at 90% for a move higher over the next month.

Looking at the sentiment for Twitter, analysts are pretty bearish on the stock. There are 37 analysts covering the stock with only 10 “buy” ratings. There are 24 “hold” ratings and three “sell” ratings. That gives us a buy percentage of 27% and that is well below the average buy percentage.

Related Tickers: TWTR
John Jacques's Avatar
published in Blogs
May 16, 2022
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.
Edward Flores's Avatar
published in Blogs
Apr 29, 2022
How to Become the Millionaire Next Door

How to Become the Millionaire Next Door

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Sergey Savastiouk's Avatar
published in Blogs
May 16, 2022
When Is the Next Recession Coming?

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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'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

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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?

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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?

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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...