Go to the list of all blogs
Harry Richardson's Avatar
published in Blogs
Jun 07, 2023

Robots Generate 7% Profit with Shopify Inc (SHOP) Stocks on Tuesday.

Stocks rose during Tuesday's regular trading session. The broad index gained 0.24% and closed at its highest level since August 2022, while the Nasdaq Composite rose 0.36% and closed at its highest closing level in 2023. The Dow Jones Industrial Average increased by 10.42 points, or 0.03%, driven by the stocks of healthcare companies Merck and UnitedHealth. Our robots also showed an upward trend yesterday. The leaders were AMD, GOOGL, BAC, ORCL, and SHOP, each gaining an average of 2%. However, stocks of cheap companies have yet to show any clear dynamics. Therefore, the robots are currently showing modest growth after a prolonged consolidation. Nevertheless, we are looking positively at the market right now, and it is likely that the upward trend will continue across all sectors, allowing us to reach new local highs again. Good luck with your trades.

A short period of economic data continues in anticipation of the Federal Reserve's policy meeting next week, and trade balance data is expected to be released before the bell on Wednesday.

One of the most notable robots, in my opinion, is the one available at https://tickeron.com/bot-trading/232-Swing-Trader-High-Volatility-Stocks-for-Active-Trading-TA-FA. It primarily holds long positions at the moment and is poised for a new surge in growth.

Swing Trader: High Volatility Stocks for Active Trading (TA&FA) Our AI robot is designed for active traders who prefer high-volatility stocks while minimizing drawdowns. It uses technical indicators to identify trend reversals and maintains a balance of short and long positions. Ideal for traders monitoring multiple trades, with an average duration of one day, maximizing capital utilization. The robot selects stocks using a proprietary method, assessing momentum in active US stocks. Entry points are determined by a complex algorithm processed with neural networks. Exit strategies include a fixed 3.5% "Take Profit" order and a 3% fixed stop loss, with a flexible trailing stop to protect profits. Trading results are shown without margin usage. Detailed performance statistics and trades are available on the robot page.

Related Ticker: SHOP

SHOP's RSI Oscillator ascending out of oversold territory

The RSI Oscillator for SHOP moved out of oversold territory on September 28, 2023. 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 22 similar instances when the indicator left oversold territory. In of the 22 cases the stock moved higher. This puts the odds of a move higher at .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 10 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SHOP advanced for three days, in of 338 cases, the price rose further within the following month. The odds of a continued upward trend are .

SHOP 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 Momentum Indicator moved below the 0 level on September 15, 2023. You may want to consider selling the stock, shorting the stock, or exploring put options on SHOP 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 .

The Moving Average Convergence Divergence Histogram (MACD) for SHOP turned negative on September 18, 2023. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 52 similar instances when the indicator turned negative. In of the 52 cases the stock turned lower in the days that followed. This puts the odds of success at .

SHOP moved below its 50-day moving average on September 18, 2023 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for SHOP crossed bearishly below the 50-day moving average on September 21, 2023. 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 .

Following a 3-day decline, the stock is projected to fall further. Considering past instances where SHOP 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 SHOP entered a downward trend on August 29, 2023. 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 PE Growth Rating for this company is (best 1 - 100 worst), pointing to outstanding 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.

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating steady price growth. SHOP’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 90, placing this stock slightly better than average.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly 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: P/B Ratio (9.141) is normal, around the industry mean (19.752). P/E Ratio (277.778) is within average values for comparable stocks, (153.005). Projected Growth (PEG Ratio) (0.862) is also within normal values, averaging (2.652). Dividend Yield (0.000) settles around the average of (0.088) among similar stocks. P/S Ratio (10.764) is also within normal values, averaging (74.348).

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.

Notable companies

The most notable companies in this group are Microsoft Corp (NASDAQ:MSFT), Oracle Corp (NYSE:ORCL), Adobe (NASDAQ:ADBE), Salesforce (NYSE:CRM), Intuit (NASDAQ:INTU), SERVICENOW (NYSE:NOW), Uber Technologies (NYSE:UBER), Activision Blizzard (NASDAQ:ATVI), Palo Alto Networks (NASDAQ:PANW), VMware (NYSE:VMW).

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 8.09B. The market cap for tickers in the group ranges from 291 to 2.33T. MSFT holds the highest valuation in this group at 2.33T. 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 -0%. For the same Industry, the average monthly price growth was -6%, and the average quarterly price growth was 1%. DTRK experienced the highest price growth at 100%, while WOWI experienced the biggest fall at -98%.

Volume

The average weekly volume growth across all stocks in the Packaged Software Industry was -18%. For the same stocks of the Industry, the average monthly volume growth was -3% and the average quarterly volume growth was -18%

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: 64
SMR Rating: 83
Profit Risk Rating: 89
Seasonality Score: -17 (-100 ... +100)
View a ticker or compare two or three
Technical Analysis# Of IndicatorsAvg. Odds
   
   
Show details...
A.I.Advisor
published price charts
A.I. Advisor
published General Information

General Information

an operator of eCommerce website that allows customers to sell online by providing software to create an online store

Industry PackagedSoftware

Profile
Fundamentals
Details
Industry
Information Technology Services
Address
151 O'Connor Street
Phone
+1 613 241-2828
Employees
11600
Web
https://www.shopify.com
Interesting Tickers
1D
1W
1M
1Q
6M
1Y
5Y
1 Day
STOCK / NAMEPrice $Chg $Chg %
SUNW0.530.02
+3.59%
Sunworks
CABO615.6413.59
+2.26%
Cable One
ICHR30.960.32
+1.04%
Ichor Holdings
KR44.75-0.34
-0.75%
Kroger Co (The)
VRA6.61-0.13
-1.93%
Vera Bradley

SHOP and

Correlation & Price change

A.I.dvisor indicates that over the last year, SHOP has been closely correlated with COIN. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if SHOP jumps, then COIN could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SHOP
1D Price
Change %
SHOP100%
+2.58%
COIN - SHOP
67%
Closely correlated
-0.11%
CLSK - SHOP
64%
Loosely correlated
-1.30%
RIOT - SHOP
62%
Loosely correlated
-1.06%
DDOG - SHOP
62%
Loosely correlated
+2.38%
HUBS - SHOP
62%
Loosely correlated
+0.31%
More
Artificial intelligence (AI) and fintech have an inherent compatibility that has become clearer as each sector has matured, with recent growth and successes on their own accord bringing new ideas about how they can work together.AI can analyze information at far greater quantities (and far more quickly) than any human, making it a natural fit to help fintech firms streamline and automate processes that benefit customers and businesses alike. Fintech has brought a revolution of convenience to the finance world.
You’ve set up your bitcoin wallet and have acquired some bitcoins, and now you’re ready to use them – what’s next?But be VERY careful to double- or triple-check that the address is correct – crypto transactions are irreversible, and a typo almost certainly means permanently losing the bitcoins you were trying to send. One way to avoid potential slip-ups is to scan a QR code (when available) for the destination address.
Mainstream acceptance has come in fits and starts, with regulatory approval proving hard to come by for a variety of reasons – not least of which the ever-present risk of theft via hacking or other means, which pose an especially large obstacle to attracting investment from mainstream institutions. Because crypto holdings are only accessible via a specific private key, they are susceptible to loss – literally, if the key is written on a piece of paper or a physical hard drive, methods of offline ‘cold storage’ – or through hacks if held in an online wallet.Reuters reports that over $800 million in crypto assets were stolen in the first half of 2018, creating justifiable concern for both owners and mainstream financial institutions alike. Some type of insurance coverage would potentially mitigate the risks inherent to owning crypto assets – if insurers are willing to play ball.
Don't fall prey to common financial traps that can derail your financial planning efforts. In this article, we highlight four traps to keep in mind, including the importance of refinancing rather than consolidating student loans and credit card debt, prioritizing debt repayment over investments, limiting news consumption, and understanding the true costs of buying a home. Learn how AI tools from Tickeron can help investors make informed decisions and achieve their investment objectives.
Paper wallets are extremely useful tools – beyond being one of the most popular and secure cold storage methods, they make it simple to transfer coins between owners.You can access the funds on your paper wallet by “sweeping” (or importing) them to either a live wallet (like Trezor or Exodus) or an exchange service (like Coinbase). Most services allow you to import them directly from your wallet’s private key, but there are two key exceptions.
Get ready to revolutionize your investment strategy! Discover 3 cutting-edge ways to get fresh and innovative investment ideas, and say goodbye to relying on unreliable sources like CNBC. From utilizing advanced AI tools to sharing your portfolio with trusted friends, these methods are sure to boost your investment game. So, what are you waiting for? Read on to find out how you can start generating new ideas today!
You’re a trader, not an investor. It’s important that you understand the difference before choosing an actual trading style. Traders perform their magic over shorter periods of time, sometimes within minutes or hours. Investors are more passive. They purchase equities and hold them for months or years, relying on a long-term return. Traders evaluate buys and sells based on technical analysis...
Looking to invest your money in the stock market? While leaving your money there for a few years can yield a ten percent return, real traders know that actively trading and using derivatives is the way to make a significant profit while minimizing risk. Derivatives are contracts between two parties that are based on the price of a financial asset, such as a stock or bond. The value of the...
Zoom (ZOM), the video conferencing giant, registered a three-day uptrend of +1.84%. Our proprietary AI trading bot identified an intraday gain of 6.75%, attributing it to robust market sentiment and promising growth indicators. This uptrend signals a potentially strong position for investors and stakeholders. A deeper analysis could provide crucial insights into the future performance of ZOM. Stay updated for further analytics and forecast from our AI tools.
The Swing Trader: Volatility Balanced Strategy (TA) AI trading robot has emerged as a remarkable performer. Operating within our robot factory, this trading algorithm has recently demonstrated its prowess by generating a notable gain of 3.74% while trading ZIM (ZIM Integrated Shipping Services Ltd) over the previous week. This article aims to delve into the technical analysis surrounding ZIM's recent performance and the potential for an impending price rebound.
AI trading robot, the Swing trader: Volatility Balanced Strategy (TA), has stood out as a performer in our robot factory. In the previous week, it achieved an impressive 3.78% gain while trading AFRM (Affirm Holdings Inc.), a notable stock in the market. In this article, we will delve into the technical analysis of AFRM's recent movements and explore the implications of its earnings results.
Among them, the Swing Trader: Volatility Balanced Strategy (TA) stands out as a top-performing AI trading robot. In the previous week, this robot demonstrated its prowess by generating an impressive 3.60% gain while trading NET (stock ticker symbol) – a remarkable achievement. This article delves into the reasons behind the success of Swing Trader, focusing on the positive Moving Average Convergence Divergence (MACD) indicator and the recent earning results of NET.
The Swing Trader: Volatility Balanced Strategy (TA), has caught our attention for its impressive performance. Last week, it generated a remarkable gain of 3.56% while trading RIOT, a prominent stock. In this article, we will delve into the analysis of RIOT's recent bearish trend and examine the company's earnings results, which exceeded expectations.
The Swing Trader: Volatility Balanced Strategy (TA) AI trading robot has emerged as a top performer in our robot factory, demonstrating exceptional performance and generating significant gains. In the previous week, this intelligent trading bot achieved a remarkable 3.56% gain while trading WKHS (Workhorse Group Inc.) - an achievement worth noting. Coupled with positive market indicators, WKHS presents an intriguing opportunity for potential future growth.
AI trading robot, known as "Swing trader: Volatility Balanced Strategy (TA)," has caught the attention of traders and investors alike. In the previous week, this AI robot, developed in our esteemed robot factory, demonstrated impressive performance by generating a gain of 3.51% while trading DKNG. This article will delve into the recent trading activity, the significance of the stock's upward trend, and analyze the latest earnings results of DKNG.
One such tool that has garnered attention is the AI trading robot known as Swing trader: Volatility Balanced Strategy (TA). This robot, developed in our esteemed factory, recently demonstrated its prowess by generating a notable 3.02% gain while trading CHPT (ChargePoint Holdings) over the previous week. While CHPT experienced a downward trend, the robot's performance and insightful analysis provide valuable insights for traders and investors alike.
Explore the financial battleground between JNJ, a medium-volatility swing trading choice, and MRK, a popular stock for trend trading. Delving into their current performances, JNJ shows a gain of 3.04% while MRK rises by 6.71%. The analysis combines Technical Analysis (TA) & Fundamental Analysis (FA) for precise forecasting. Gain insights into market trends, financial stability, and future stock movement predictions for informed investment decisions.
Dive into a comparative analysis between the Market Neutral Strategy applied to CCL (yielding 15.39%) and the Swing Trading Strategy applied to MULN (yielding 19%). Both employ technical and fundamental analysis. Discover how the Motor Vehicles sector (+2.11% weekly) and Other Consumer Services (+3.75% weekly) affect these strategies. Earnings for CCL and MULN are expected on Sep 28 and May 31 respectively
Apple (AAPL) has entered a monthly bullish trend, and A.I.dvisor predicts that the stock will continue its upward trajectory. With a projected growth of 4% or more within the next month, AAPL investors may have reasons to be optimistic about its Uptrend continuation.
General Electric (GE) has entered a monthly bullish trend, signaling potential for an Uptrend continuation. With A.I.dvisor predicting a projected growth of 4% or more within the next month, GE investors may anticipate further positive momentum in the stock.