Go to the list of all blogs
Sergey Savastiouk's Avatar
published in Blogs
Apr 21, 2020

Shake Shack(SHAK, $45.99) to return $10 million loan to government

Shake Shack said it would return a small business loan it received from the U.S. government as part of covid-19 relief package.

The fast casual restaurant chain was able to get extra funding late last week through an equity transaction,  and decided to immediately return the $10 million paycheck protection loan it received through the CARES Act, (the Associated Press reported).

CEO Randy Garutti and founder Danny Meyer said, “Shake Shack was fortunate last Friday to be able to access the additional capital we needed to ensure our long term stability through an equity transaction in the public markets”. They added, “We’re thankful for that and we’ve decided to immediately return the entire $10 million PPP loan we received last week so that those restaurants who need it most can get it now”.

Related Ticker: SHAK

SHAK in downward trend: 10-day moving average moved below 50-day moving average on April 18, 2024

The 10-day moving average for SHAK crossed bearishly below the 50-day moving average on April 18, 2024. This indicates that the trend has shifted lower and could be considered a sell signal. In of 14 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The 10-day RSI Indicator for SHAK moved out of overbought territory on March 25, 2024. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 39 similar instances where the indicator moved out of overbought territory. In of the 39 cases, the stock moved lower in the following days. This puts the odds of a move lower at .

The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.

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

SHAK broke above its upper Bollinger Band on March 20, 2024. 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 SHAK entered a downward trend on April 25, 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.

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on April 23, 2024. You may want to consider a long position or call options on SHAK as a result. In of 91 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 SHAK just turned positive on April 25, 2024. Looking at past instances where SHAK's MACD turned positive, the stock continued to rise in of 44 cases over the following month. The odds of a continued upward trend are .

SHAK moved above its 50-day moving average on April 25, 2024 date and that indicates a change from a downward trend to an upward trend.

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SHAK advanced for three days, in of 322 cases, the price rose further within the following month. The odds of a continued upward trend are .

Fundamental Analysis (Ratings)

Fear & Greed

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating steady price growth. SHAK’s price grows at a higher 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 83, placing this stock slightly better than average.

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.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is significantly overvalued 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: SHAK's P/B Ratio (9.025) is slightly higher than the industry average of (4.103). SHAK has a moderately high P/E Ratio (211.208) as compared to the industry average of (55.594). SHAK's Projected Growth (PEG Ratio) (0.000) is slightly lower than the industry average of (2.024). SHAK has a moderately low Dividend Yield (0.000) as compared to the industry average of (0.035). P/S Ratio (4.092) is also within normal values, averaging (3.312).

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 McDonald's Corp (NYSE:MCD), Starbucks Corp (NASDAQ:SBUX), Chipotle Mexican Grill (NYSE:CMG), Yum! Brands (NYSE:YUM), Darden Restaurants (NYSE:DRI), Domino's Pizza (NYSE:DPZ), Yum China Holdings (NYSE:YUMC), Shake Shack (NYSE:SHAK), Noodles & Company (NASDAQ:NDLS).

Industry description

The industry includes companies that operate full-service restaurants, fast food restaurants, cafeterias and snack bars. McDonald`s Corporation, Starbucks Corporation, YUM! Brands, Inc. and Restaurant Brands International Inc. are some of the largest U.S. restaurant-owning companies in terms of market capitalization. While restaurant spending could be viewed as discretionary for consumers, some companies in the business have been able to weather economic cycles by establishing strong loyalty among customers over the years. Many of them also have a strong global presence as well.

Market Cap

The average market capitalization across the Restaurants Industry is 7.54B. The market cap for tickers in the group ranges from 6.73K to 198.71B. MCD holds the highest valuation in this group at 198.71B. The lowest valued company is AMHG at 6.73K.

High and low price notable news

The average weekly price growth across all stocks in the Restaurants Industry was 2%. For the same Industry, the average monthly price growth was -3%, and the average quarterly price growth was 7%. ODDAF experienced the highest price growth at 25%, while REBN experienced the biggest fall at -14%.

Volume

The average weekly volume growth across all stocks in the Restaurants Industry was -28%. For the same stocks of the Industry, the average monthly volume growth was -4% and the average quarterly volume growth was 5%

Fundamental Analysis Ratings

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

Valuation Rating: 45
P/E Growth Rating: 66
Price Growth Rating: 60
SMR Rating: 65
Profit Risk Rating: 83
Seasonality Score: 8 (-100 ... +100)
View a ticker or compare two or three
SHAKDaily 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

an operator of limited-service hamburger restaurants

Industry Restaurants

Profile
Fundamentals
Details
Industry
Restaurants
Address
225 Varick Street
Phone
+1 646 747-7200
Employees
12196
Web
https://www.shakeshack.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.
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.
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.