Go to the list of all blogs
Sergey Savastiouk's Avatar
published in Blogs
Feb 28, 2021

The Associated Press is Using A.I. to Re-Imagine News Delivery

The recent rise of artificial intelligence has influenced businesses across industries. Journalism and media are the latest fields to join the party, experimenting with using AI and machine learning to better their operations. But any new technological introduction is met with some hand-wringing when outcomes and effects are uncertain, and news is no different – the Associated Press’ 2017 announcement that they were using software to automate some sports and investment writing led to confusion: Would quality go down? Would writers and reporters lose their jobs? What did this mean for the news?

As it turns out, fears of catastrophic consequences seem misguided. In an interview with Poynter, the AP’s vice president and managing editor, Lou Ferrara, outlined its potential for making the newsroom more efficient, as well as how the AP will continue to expand its use in their operations – part of a quest to eliminate “a lot of sprawling, legacy-type processes…that consume people’s time” and “use the resources we have to [instead] do the journalism.”

To Ferrara, “anything, where there’s structured data”, is ripe for automation. The AP is honing “a couple of technologies” to pull information from government databases and get it to reporters faster. Weather reports are being automated; election coverage is an area of “deep exploration”, with the potential to explore the data analysis side more quickly, and on a larger scale, than ever before. Videos and photos also hold tremendous potential, with Ferrara citing the editing process as one example.

Time and money are the ultimate determining factors for Ferrara when determining whether to automate a process: can algorithms perform time-saving processes so journalists can focus their attention more productively? Ferrara believes that in a “messy business” like journalism, time spent researching information and interviewing people is of greatest value. Removing process-oriented work that could be farmed out to AI creates more time for journalists to do real journalism.

In a shifting market, time saved also means money saved – which helps the AP survive. Ferrara characterizes the organization as “realists” pushing to remove unnecessary “legacy operations and processes” from legacy media. He describes the industry as quick to embrace change for “production work” rather than “the craft of journalism”. His job is to remove impediments to that craft – he cites earnings reports as a prime example – while adapting to changing tastes, like a desire for more player-focused content in sports journalism, meaningless human effort covering the game itself.

Ferrara believes that AI and human reporters can coexist in ways that enhance strengths and mitigate weaknesses. “I think that won't go away is bread-and-butter investigative reporting and reporting the news that no one else has,” says Ferrara. “When I see the news reporters are breaking, there's a lot of stuff that isn't going to be done by a robot…automation is going to be part of [journalists’] lives…[but as] tools in the background…to surface information to them faster.”

The AP has hired an automation editor, Justin Myers, to find new processes to streamline, and Ferrara acknowledges there will be some degree of job loss – but new jobs will also be created. “There's a never-ending supply of news and information [in journalism] you need to go report,” says Ferrara. “Every time you're freeing up a staffer's time, or somebody's time, that time is going elsewhere to do something that is more relevant in the modern media world we're living in.” Can automation and news delivery go hand-in-hand? If the Associated Press is any indication, not only can they coexist – they can thrive.

The Same A.I.-Driven Evolution is Coming to Financial News

Tickeron has developed a platform where Artificial Intelligence and Human Intelligence are being utilized to deliver financial news and investment ideas to users all across the world. This is not to say that financial journalists, bloggers, and prognosticators are going to be obsolete in the future. Human ideas are innovative and interesting! But Artificial Intelligence can provide ideas too, and where humans may use insight and “gut feelings” to report the news and trade ideas, A.I. uses hard data. There’s a big difference.

Tickeron’s A.I. is doing just that – scanning financial news, stock and crypto charts, ETFs and Forex, all in search of patterns and ideas that it delivers to the user. Trade ideas and insightful news are delivered right into Tickeron’s News Feed, which serves as the homepage for the site. Get tuned into the future and start investing and trading smarter on tickeron.com today. 

Related Ticker: NYT

NYT's RSI Indicator ascends from oversold territory

The RSI Indicator for NYT moved out of oversold territory on March 06, 2024. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 25 similar instances when the indicator left oversold territory. In of the 25 cases the stock moved higher. This puts the odds of a move higher at .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Moving Average Convergence Divergence (MACD) for NYT just turned positive on March 07, 2024. Looking at past instances where NYT's MACD turned positive, the stock continued to rise in of 50 cases 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 NYT advanced for three days, in of 334 cases, the price rose further within the following month. The odds of a continued upward trend are .

NYT may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Bearish Trend Analysis

The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 60 cases where NYT's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .

The Momentum Indicator moved below the 0 level on March 28, 2024. You may want to consider selling the stock, shorting the stock, or exploring put options on NYT as a result. In of 82 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .

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

The Aroon Indicator for NYT entered a downward trend on March 13, 2024. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

Fundamental Analysis (Ratings)

Fear & Greed

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is fair valued 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 (4.031) is normal, around the industry mean (2.380). P/E Ratio (30.871) is within average values for comparable stocks, (33.535). Projected Growth (PEG Ratio) (3.795) is also within normal values, averaging (6.419). Dividend Yield (0.010) settles around the average of (0.040) among similar stocks. P/S Ratio (2.951) is also within normal values, averaging (17.242).

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating fairly steady price growth. NYT’s price grows at a lower rate over the last 12 months as compared to 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 86, placing this stock slightly better than average.

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating 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 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.

Industry description

The industry includes companies that publish and market books and magazines/periodicals. John Wiley & Sons, Inc., Meredith Corporation and Scholastic Corporation are some of the biggest companies in this industry. Like many other industries, publishing companies have branched out into online/digital publications (while retaining their original print business), to capture the burgeoning market in electronic media. Business could be cyclical in certain cases, since weak consumer sentiment during an economic downturn might depress sales of some magazines and books.

Market Cap

The average market capitalization across the Publishing: Books/Magazines Industry is 2.6B. The market cap for tickers in the group ranges from 113.09K to 13.62B. IFPJF holds the highest valuation in this group at 13.62B. The lowest valued company is DIGI at 113.09K.

High and low price notable news

The average weekly price growth across all stocks in the Publishing: Books/Magazines Industry was 1%. For the same Industry, the average monthly price growth was 7%, and the average quarterly price growth was 8%. IDWM experienced the highest price growth at 12%, while LEBGF experienced the biggest fall at -11%.

Volume

The average weekly volume growth across all stocks in the Publishing: Books/Magazines Industry was 18%. For the same stocks of the Industry, the average monthly volume growth was 41% and the average quarterly volume growth was 33%

Fundamental Analysis Ratings

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

Valuation Rating: 40
P/E Growth Rating: 67
Price Growth Rating: 49
SMR Rating: 82
Profit Risk Rating: 85
Seasonality Score: -6 (-100 ... +100)
View a ticker or compare two or three
NYTDaily Signal changed days agoGain/Loss if shorted
 
Show more...
Ad is loading...
A.I.Advisor
published price charts
A.I. Advisor
published General Information

General Information

a global, multimedia news and information company, which engages in publishing newspapers, digital businesses, investments in paper mills and other investments

Industry PublishingBooksMagazines

Profile
Fundamentals
Details
Industry
Publishing Newspapers
Address
620 Eighth Avenue
Phone
+1 212 556-1234
Employees
5900
Web
https://www.nytco.com
Ad is loading...
Discover the dynamic world of cryptocurrency trading with Tickeron's AI analysis. Capitalize on bullish and bearish patterns in Origin Protocol (OGN.X), with gains up to 27.80%. Stay ahead with Tickeron's real-time insights and make informed trading decisions. #CryptoTrading #AIAnalysis #OriginProtocol #InvestSmart
#latest#popular#patterns#artificial_intelligence#trading#technical_analysis
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.
Urology companies, comprising EDAP (EDAP), Teleflex (TFX), and UroGen Pharma (URGN), have shown a remarkable +6.67% increase in performance over the last week. In this analysis, we delve into various indicators and metrics to better understand the current landscape and individual trajectories within this thematic sector.
In the ever-evolving landscape of financial markets, Artificial Intelligence (AI) trading robots have emerged as potent tools for investors seeking an edge. The recent performance of the AI trading robots accessible through "Swing Trader, Popular Stocks: Short Bias Strategy (TA&FA)" has caught the attention of market participants. Notably, these bots generated an impressive +10.22% gain in a week, with a focus on trading TSM (Taiwan Semiconductor Manufacturing Company).
In the fast-paced world of stock trading, artificial intelligence (AI) has become a game-changer, with trading robots demonstrating impressive results. The "Day Trader: Medium Volatility Stocks for Active Trading (TA&FA)" platform recently showcased the effectiveness of its bots, generating a notable +7.86% gain while actively trading AMD over the past week.
​​​​​​​Aluminum companies have witnessed a remarkable surge in performance, with a collective increase of +8.75% over the past week. In this analysis, we delve into the dynamics of this surge, focusing on key indicators and individual stock movements. The tickers in focus are CENX, AA, KALU, and CSTM.
​​​​​​​Propane gas companies, represented by tickers NGL, SGU, and SPH, have exhibited a remarkable +8.22% increase in performance over the past week. This surge is substantiated by various technical indicators, fostering a positive outlook for investors. In this analysis, we delve into key indicators, market capitalization, notable price movements, and volume fluctuations to provide a comprehensive understanding of the current landscape.
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.
In the fast-paced world of AI trading, algorithms powered by sophisticated technical analysis tools are making waves. The "Swing trader: Top High-Volatility Stocks v.2 (TA)" bots have proven their mettle, securing a remarkable +6.02% gain in a week of trading AVGO.
Artificial intelligence (AI) trading robots have become an integral part of the market landscape. One such example is the "Swing Trader, Popular Stocks: Short Bias Strategy (TA&FA)" bot, which showcased impressive results with a +5.54% gain while trading LRCX over the past week. In this article, we delve into the technical analysis of LRCX, examining its recent earnings report and broader industry trends.
The drilling industry has recently experienced a commendable upswing, with a substantial 8.22% surge in performance over the past week. In this article, we will dissect the current dynamics of key players in this sector, focusing on prominent tickers such as DO, RIG, HP, NBR, NR, PDS, and PTEN.
In the realm of AI-driven trading, the "Swing Trader: ETFs for Growing Industries (TA)" platform recently showcased impressive results, with its trading bots generating a noteworthy +5.09% gain while actively trading TQQQ over the past week. As we delve into the intricacies of these AI trading strategies, let's dissect the recent earning results and market indicators to better understand the driving forces behind their success.
In the fast-paced world of AI-driven trading, the utilization of sophisticated algorithms and technical analysis tools is becoming increasingly prevalent. One notable example is the Trend Trader, Popular Stocks: Price Action Trading Strategy (TA&FA), which demonstrated its prowess by generating a commendable +5.02% gain while trading NVDA over the past week. Let's delve into the technical indicators and earnings results to gain a comprehensive understanding of NVDA's current market standing.
In the fast-paced realm of biotech and pharmaceuticals, a group of stocks, including giants like Johnson & Johnson (JNJ), Amgen (AMGN), Pfizer (PFE), Astex Pharmaceuticals (ATXS), AnaptysBio (ANAB), and Zymeworks (ZYME), witnessed a noteworthy 8.55% surge in performance over the past week. However, a closer look at various indicators suggests caution, signaling a potential downturn.
In the dynamic landscape of the energy sector, onshore oil exploration companies have recently experienced a remarkable upswing, with a notable 7.13% increase in performance over the past week. This surge has captivated market attention, and several key indicators point towards a sustained positive outlook. In this analysis, we delve into the financial health, market dynamics, and recent events surrounding prominent tickers in this domain - PXD, CNQ, PDS, PTEN, and FANG.
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.
In the dynamic world of stock trading, the utilization of AI trading robots has become increasingly prevalent. One such example is the "Trend Trader, Popular Stocks: Price Action Trading Strategy (TA&FA)," which showcased its prowess by yielding a remarkable +4.98% gain while trading ZIM over the previous week. As we delve into the intricacies of ZIM's recent performance, let's analyze the earnings results, market indicators, and industry trends that shape the narrative.