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Sergey Savastiouk's Avatar
published in Blogs
Jun 06, 2019

Facebook Needs A.I., But Is A.I. Ready?

Facebook is indisputably one of technology’s biggest companies, boasting an average of 1.56 billion daily active users across it and its Instagram, WhatsApp, and Messenger family of apps in March 2019, with sixty-six percent of total users being considered daily, rather than monthly, active users. That massive user base contributed to a 61 percent increase in profits during Q4 2018, to $6.9 billion.

While the company is more profitable than ever, it is not immune to criticism. Recent times have seen Facebook taken to task for a string of issues, including data impropriety, controversial and dangerous user-posted content that results in real-world consequences, and privacy concerns. Facebook has always employed moderators to evaluate flagged content, but manually sifting through and vetting mountains of material from its worldwide user base has proven an impossible task, leading Facebook to double down on artificial intelligence to achieve better serve their platform.

The adoption process has not been without friction. Artificial intelligence relies on human-programmed algorithms to perform specific functions, making it susceptible to bias, intended or otherwise. A recent Wired report detailed Facebook program manager Lade Obamehinti “[discovering] that a prototype of the company's video chat device, Portal, had a problem seeing people with darker skin tones” before rectifying the problem – a byproduct of underrepresentation of “women and people with darker skin…in the training data.” This led to the AI algorithm misidentifying those groups in greater numbers than those from a larger data set.

AI bias is on the radar of leading researchers, who have “raised the alarm about the risk of biased AI systems as they are assigned more critical and personal roles.” The mitigating bias remains vitally important for a company like Facebook, which needs AI to work at scale while being conscious of its real-world repercussions. The company recently “deployed a content filtering system to identify posts that may be spreading political misinformation during India’s month-long national election,” flagging posts “in several of the country’s many languages” for human moderators to review. It and similar fake news-curbing initiatives using crowdsourcing are especially susceptible to uniformity of opinion and background, raising the stakes to get things right.

AI may be advancing in efficacy and usefulness, but it still needs human guidance and oversight to work ethically, eliminate bias, and identify its shortcomings. “When AI meets people,” explained Obamehinti, “there’s an inherent risk of marginalization.” Though the process lacks “simple answers” (in the words of Facebook CTO Mike Schroepfer), efforts are underway at Facebook to tackle potential issues. Obamehinti’s discoveries have spurred “new tools and processes to fend off problems created by AI,” with subsequent new “[processes] for inclusive AI…being adopted by several product development groups at Facebook.” With increased awareness, Facebook hopes to continue reaping the benefits of AI without promulgating its downsides.

If You’re Wondering When A.I. Will Start Making Market Predictions…

Guess what – it already is. Hedge funds and large institutional investors have been using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed A.I. on charts to discover patterns and trends. Not only can the A.I. scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generates trade ideas based on what it finds. Hedge funds have had a leg-up on the retail investor for some time now.

Not anymore. Tickeron has launched a new investment platform, and it is designed to give retail investors access to sophisticated AI for a multitude of functions:

And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Learn how on Tickeron.com.

Related Ticker: META

META's MACD Histogram just turned positive

The Moving Average Convergence Divergence (MACD) for META turned positive on April 24, 2025. Looking at past instances where META's MACD turned positive, the stock continued to rise in of 51 cases over the following month. The odds of a continued upward trend are .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where META's RSI Oscillator exited the oversold zone, of 22 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Momentum Indicator moved above the 0 level on April 25, 2025. You may want to consider a long position or call options on META as a result. In of 87 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .

META moved above its 50-day moving average on May 02, 2025 date and that indicates a change from a downward trend to an upward trend.

The 10-day moving average for META crossed bullishly above the 50-day moving average on May 09, 2025. This indicates that the trend has shifted higher and could be considered a buy signal. In of 14 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 META advanced for three days, in of 330 cases, the price rose further within the following month. The odds of a continued upward trend are .

Bearish Trend Analysis

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 9 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

The 50-day moving average for META moved below the 200-day moving average on May 06, 2025. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.

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

META broke above its upper Bollinger Band on May 02, 2025. 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.

The Aroon Indicator for META entered a downward trend on April 30, 2025. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly 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 (8.177) is normal, around the industry mean (11.896). P/E Ratio (33.034) is within average values for comparable stocks, (50.251). Projected Growth (PEG Ratio) (1.115) is also within normal values, averaging (3.572). Dividend Yield (0.001) settles around the average of (0.027) among similar stocks. P/S Ratio (9.569) is also within normal values, averaging (19.917).

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating very strong sales and a profitable 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.

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 88, placing this stock better than average.

The Tickeron Seasonality Score of (best 1 - 100 worst) indicates that the company is fair valued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.

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

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to worse than average 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.

Notable companies

The most notable companies in this group are Alphabet (NASDAQ:GOOG), Alphabet (NASDAQ:GOOGL), Meta Platforms (NASDAQ:META), Spotify Technology SA (NYSE:SPOT), Baidu (NASDAQ:BIDU), Pinterest (NYSE:PINS), Tencent Music Entertainment Group (NYSE:TME), Snap (NYSE:SNAP), Twilio (NYSE:TWLO), Zillow Group (NASDAQ:Z).

Industry description

Companies in this industry typically license software on a subscription basis and it is centrally hosted. Such products usually go by the names web-based software, on-demand software and hosted software. Cloud computing has emerged as a major force in this space, making it possible to save files to a remote database (without requiring them to be saved on local storage device); as long as a device has access to the web, it can access the data and the software programs to run it. This has in many cases facilitated cost efficiency, speed and security of data for businesses and consumers. Alphabet Inc., Facebook, Inc. and Yahoo! Inc. are some well-known names in the internet software/services industry.

Market Cap

The average market capitalization across the Internet Software/Services Industry is 67.74B. The market cap for tickers in the group ranges from 1.11K to 1.94T. GOOGL holds the highest valuation in this group at 1.94T. The lowest valued company is MSEZ at 1.11K.

High and low price notable news

The average weekly price growth across all stocks in the Internet Software/Services Industry was 11%. For the same Industry, the average monthly price growth was 28%, and the average quarterly price growth was 20%. ASST experienced the highest price growth at 1,199%, while STBXF experienced the biggest fall at -89%.

Volume

The average weekly volume growth across all stocks in the Internet Software/Services Industry was 3%. For the same stocks of the Industry, the average monthly volume growth was -7% and the average quarterly volume growth was 17%

Fundamental Analysis Ratings

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

Valuation Rating: 46
P/E Growth Rating: 66
Price Growth Rating: 57
SMR Rating: 73
Profit Risk Rating: 88
Seasonality Score: 34 (-100 ... +100)
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