MENU
DDOG
AS OF
Feb 9, 04:59 PM (EDT)
Price
$114.27
Change
+$2.58 (+2.31%)
Capitalization
39.17B
One day until earnings call
Intraday BUY SELL Signals
Go to the list of all blogs
Dem Sem's Avatar
published in Blogs
Jun 25, 2023
Tickeron's Robot Generates a Solid +4.16% Return for DDOG in the Previous Week

Tickeron's Robot Generates a Solid +4.16% Return for DDOG in the Previous Week

The Swing Trader: Volatility Balanced Strategy v.2 (TA), an AI trading robot that recently demonstrated exceptional performance by generating a remarkable gain of +4.16% while trading DDOG (Datadog Inc.) over the previous week. This article delves into the earnings results of DDOG and analyzes the implications of its recent Momentum Indicator movement.

DDOG's Momentum Indicator and Potential Downward Shift:

On June 16, 2023, DDOG's Momentum Indicator dipped below the 0 level, suggesting a potential shift towards a new downward movement. Traders and investors are advised to carefully consider their positions and explore options such as selling the stock or investigating put options. Tickeron's A.I.dvisor, an artificial intelligence-driven platform, has examined 59 similar instances of negative indicator turns and found that in 48 of those cases, the stock continued to decline in the following days. Consequently, the odds of a decline in DDOG are currently estimated at 81%.

Earnings Report Highlights:

DDOG's most recent earnings report, released on May 4, showcased impressive performance that surpassed market expectations. The earnings per share (EPS) figure came in at 28 cents, exceeding the estimated value of 23 cents. With 654.80K shares outstanding, DDOG currently boasts a market capitalization of approximately $31.12 billion.

Analysis:

  1. Positive Earnings Surprise: DDOG's earnings report delivered positive news, surpassing the estimated EPS by 5 cents. This indicates that the company performed better than anticipated, reflecting the effectiveness of its business strategies and potentially boosting investor confidence.

  2. Market Capitalization: With a market capitalization of $31.12 billion, DDOG is considered a large-cap stock. This suggests that the company is well-established and has the potential for stable growth and long-term viability.

Summary:

The Swing Trader: Volatility Balanced Strategy v.2 (TA) AI trading robot demonstrated its capabilities by generating a significant gain of +4.16% while trading DDOG over the previous week. However, caution is advised due to the recent dip of DDOG's Momentum Indicator below the 0 level, which suggests a potential downward shift in the stock's movement. 

On the positive side, DDOG's recent earnings report surpassed market expectations, with earnings per share of 28 cents, outperforming the estimated value of 23 cents. With a market capitalization of $31.12 billion, DDOG showcases its position as a large-cap stock, which may contribute to its stability and long-term growth potential.

Related Ticker: DDOG

DDOG in upward trend: price expected to rise as it breaks its lower Bollinger Band on February 05, 2026

DDOG may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In of 36 cases where DDOG's price broke its lower Bollinger Band, its price rose further in 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 DDOG's RSI Oscillator exited the oversold zone, of 26 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where DDOG advanced for three days, in of 319 cases, the price rose further within the following month. The odds of a continued upward trend are .

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on February 04, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on DDOG as a result. In of 78 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 DDOG turned negative on February 04, 2026. 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 45 similar instances when the indicator turned negative. In of the 45 cases the stock turned lower in the days that followed. This puts the odds of success at .

The 50-day moving average for DDOG moved below the 200-day moving average on February 06, 2026. 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 DDOG 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 DDOG entered a downward trend on February 06, 2026. 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 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 slightly worse than average price growth. DDOG’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.

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: P/B Ratio (11.390) is normal, around the industry mean (10.100). P/E Ratio (360.290) is within average values for comparable stocks, (105.418). Projected Growth (PEG Ratio) (1.083) is also within normal values, averaging (1.608). Dividend Yield (0.000) settles around the average of (0.032) among similar stocks. P/S Ratio (12.594) is also within normal values, averaging (54.109).

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating that the returns do not compensate for the risks. DDOG’s unstable profits reported over time resulted in significant Drawdowns within these last five years. A stable profit reduces stock drawdown and volatility. The average Profit vs. Risk Rating rating for the industry is 95, placing this stock better than average.

Notable companies

The most notable companies in this group are Salesforce (NYSE:CRM), Uber Technologies (NYSE:UBER), Shopify Inc (NASDAQ:SHOP), Intuit (NASDAQ:INTU), Adobe (NASDAQ:ADBE), ServiceNow Inc. (NYSE:NOW), Autodesk (NASDAQ:ADSK), Workday (NASDAQ:WDAY), Datadog (NASDAQ:DDOG), Zoom Communications Inc (NASDAQ:ZM).

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 6.47B. The market cap for tickers in the group ranges from 291 to 234.83B. SAPGF holds the highest valuation in this group at 234.83B. 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 -4%. For the same Industry, the average monthly price growth was -5%, and the average quarterly price growth was 41%. EGHT experienced the highest price growth at 58%, while NMYSF experienced the biggest fall at -72%.

Volume

The average weekly volume growth across all stocks in the Packaged Software Industry was -3%. For the same stocks of the Industry, the average monthly volume growth was 61% and the average quarterly volume growth was 24%

Fundamental Analysis Ratings

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

Valuation Rating: 54
P/E Growth Rating: 78
Price Growth Rating: 71
SMR Rating: 78
Profit Risk Rating: 95
Seasonality Score: -29 (-100 ... +100)
View a ticker or compare two or three
DDOG
Daily Signal:
Gain/Loss:
Interact to see
Advertisement
A.I.Advisor
published price charts
These past five trading days, the stock lost 0.00% with an average daily volume of 0 shares traded.The stock tracked a drawdown of 0% for this period. DDOG showed earnings on November 06, 2025. You can read more about the earnings report here.
A.I. Advisor
published General Information

General Information

a company, which engages in the development of monitoring and analytics platform for developers, information technology operations teams and business users

Industry PackagedSoftware

Profile
Fundamentals
Details
Industry
N/A
Address
620 8th Avenue
Phone
+1 866 329-4466
Employees
5200
Web
https://www.datadog.com
Interact to see
Advertisement
In the ever-evolving landscape of stock trading, where technology sectors like semiconductors and wireless communications drive innovation, AI trading bots are becoming essential allies for investors.
#artificial_intelligence
As stock markets continue to surge with infrastructure demands, AI trading bots are transforming how investors harness opportunities in sectors like energy and utilities. These intelligent AI systems process real-time data, uncover hidden patterns, and automate decisions, making them a boon for beginners and a strategic asset for experienced traders.
#artificial_intelligence#trading
The financial markets in 2025 are a battleground of volatility, opportunity, and technological innovation.
#artificial_intelligence
The financial landscape over the past decade has witnessed an extraordinary evolution, particularly with the rise of cryptocurrencies like Ethereum and Bitcoin
#artificial_intelligence
Bollinger Innovations, Inc. (BINI), formerly known as Mullen Automotive, Inc., has experienced a catastrophic decline in its stock price throughout 2025, losing a staggering 98.19% of its value year-to-date, with an average daily trading volume of 161,610 shares.
#artificial_intelligence
Bollinger Innovations, Inc. (BINI), formerly known as Mullen Automotive, Inc., has experienced a catastrophic decline in its stock price throughout 2025, losing a staggering 98.19% of its value year-to-date, with an average daily trading volume of 161,610 shares.
#artificial_intelligence
In the rapidly evolving landscape of financial markets, artificial intelligence (AI) has emerged as a transformative force, redefining trading efficiency and profitability.
#artificial_intelligence
The financial markets in 2025 are defined by volatility, driven by technological advancements, geopolitical shifts, and macroeconomic uncertainties.
Outline Introduction: Tickeron Advances AI Trading with FLMs and Rapid-Reaction Agents Tickeron, a leading fintech innovator, has rolled out a groundbreaking evolution in algorithmic trading. Built upon robust, proprietary Financial Learning Models (FLMs), Tickeron’s newly deployed AI Trading Agents operating on ultra-short 15-minute and 5-minute machine-learning time frames demonstrate exceptional performance.
#artificial_intelligence
As of August 09, 2025, the financial landscape continues to showcase the dynamic rivalry between Apple Inc. (AAPL) and Tesla, Inc. (TSLA), two titans representing distinct sectors of the technology and automotive industries.
#artificial_intelligence
As of August 9, 2025, the financial landscape presents an intriguing comparison between Meta Platforms Inc. (META) and NVIDIA Corporation (NVDA), two titans in their respective industries.
#artificial_intelligence
Tickeron’s recent strides in deploy­ing AI Trading Agents built on shorter ML cycles have produced striking returns—+204% annualized on NVDA (15 min), +112% on AVGO (15 min), and +106% on KKR (5 min).
#artificial_intelligence#trading
In the rapidly evolving landscape of financial technology, artificial intelligence has emerged as a transformative force, reshaping how investors approach trading.
In the dynamic world of financial markets, artificial intelligence has emerged as a transformative force, enabling traders to navigate volatility with unprecedented precision. Tickeron, a pioneer in AI-driven trading solutions, has revolutionized this space through its innovative brokerage agents.
Tickeron, a leader in AI-driven trading solutions, today announced exceptional results from its AI Trading Agent specialized in KKR stock.
#artificial_intelligence#trading
Tickeron, a pioneer in AI-driven financial tools, today announced exceptional trading results for its AI Trading Agent focused on NVIDIA Corporation (NVDA).
#artificial_intelligence
Tickeron, a leader in AI-driven financial solutions, announces its AI Trading Agent’s remarkable 49.16% annualized return trading the iShares U.S. Aerospace & Defense ETF (ITA). Leveraging advanced Financial Learning Models (FLMs), the agent delivers exceptional results for investors targeting high-growth sectors like aviation and defense.
#artificial_intelligence
Tickeron’s AI Trend Prediction Engine (TPE) stands at the forefront of this revolution, leveraging advanced Financial Learning Models (FLMs) to deliver precise predictions for stocks, ETFs, and mutual funds
#artificial_intelligence
The financial markets in 2025 continue to demonstrate resilience amid economic uncertainties, with artificial intelligence playing a pivotal role in identifying bullish opportunities.