Go to the list of all blogs
Allana's Avatar
published in Blogs
Sep 26, 2018
Microsoft Integrating Blockchain into Products

Microsoft Integrating Blockchain into Products

One of tech’s original giants, Microsoft, remains ubiquitous even as Google, Amazon, Facebook, and newer companies have ascended to prominence. The Washington-headquartered behemoth may be less sexy than its younger counterparts, but the company continues to innovate with their offerings. Microsoft Azure was the first product to bring blockchain to the cloud in 2015, long before blockchain was a buzzword. Now they have designs on integrating blockchain into other platforms and services as part of an ambitious data-mining effort – including Office 365 Outlook, SharePoint Online, Salesforce, Dynamics 365 CRM Online, SAP, and even Twitter, says Matt Kerner, the general manager of the cloud computing service.

Microsoft believes that by allowing its customers to port their data from these platforms into the cloud, then onto the blockchain, they will be able to standardize massive amounts of data at scale, then mine it for insights – part of the evolution of Big Data, explained Kerner. “Blockchain empowers the next step [for collaboration] – enabling a single, authentic data set shared across counterparties,” Kerner told CoinDesk. “This is already improving the way transactions happen…we believe the same will be true with data analytics.”

The format and structure of increasingly large and complex masses of data is vitally important as more and more companies deploy algorithms to derive meaningful insight from collected information. Azure takes care of that structural standardization via blockchain, creating additional value for its customers. “[Blockchain] is creating a multi-party business process that is moving out of email, phone calls, spreadsheets and into a single system with a single view on the data that all of the participants can rely upon and trust,” said Kerner. That single view allows for customers and competitors alike to gain mutual benefit from information – one that could equate to potentially massive new revenue streams.

Microsoft is not the first tech behemoth to get behind blockchain. IBM has been championing the capabilities of its immutable ledger in enterprise capacities for some time, identifying new applications with banks, medical records, and more. The two companies are competing over dominance in the same industries, like global trade, where Azure’s infrastructural connectivity contributed to a recent victory for Microsoft as it was integrated into Maersk’s Insurwave platform for maritime insurance on shipping hauls.  The system tracks cargos and adjusts insurance premiums in real time by analyzing reams of data; that information is then shared on the blockchain, where it can be analyzed using Microsoft’s Power BI business analytics tool for immediate insight.

With new use cases developing all the time, Microsoft and IBM alike stand to benefit from increased adoption and creative use. While competitors, Kerner expressed his belief that any future consortium of value has “got to be open.” “Any meaningful consortium is going to have members who have different choices that they have made around their cloud provider and who they choose to work with," said Kerner. A prominently blockchain-based future for business appears closer than ever, with Microsoft doing its part to lead the way.
 

Learn More about the Power of Blockchain – and How to Invest – on Tickeron.com

Access Tickeron’s Academy on tickeron.com to learn more about the cryptocurrency and blockchain revolutions, and even how you can use algorithms and AI to invest. Tickeron has created Artificial Intelligence capable of finding trade patterns and generating investment ideas for the cryptocurrency markets. Start a free trial today on tickeron.com.

Related Ticker: MSFT

MSFT's RSI Oscillator recovers from oversold territory

The RSI Indicator for MSFT moved out of oversold territory on February 24, 2026. 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 24 similar instances when the indicator left oversold territory. In of the 24 cases the stock moved higher. This puts the odds of a move higher at .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on March 03, 2026. You may want to consider a long position or call options on MSFT as a result. In of 83 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 MSFT just turned positive on February 25, 2026. Looking at past instances where MSFT'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 MSFT advanced for three days, in of 335 cases, the price rose further within the following month. The odds of a continued upward trend are .

MSFT 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 demonstrated that the ticker has stayed in the overbought zone for 4 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where MSFT 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 MSFT entered a downward trend on March 05, 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 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 (7.776) is normal, around the industry mean (39.274). P/E Ratio (25.620) is within average values for comparable stocks, (139.658). Projected Growth (PEG Ratio) (1.336) is also within normal values, averaging (1.571). Dividend Yield (0.009) settles around the average of (0.028) among similar stocks. P/S Ratio (10.000) is also within normal values, averaging (77.636).

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 well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 95, placing this stock slightly 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. MSFT’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 slightly better 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 Microsoft Corp (NASDAQ:MSFT), Oracle Corp (NYSE:ORCL), Palo Alto Networks Inc (NASDAQ:PANW), CrowdStrike Holdings (NASDAQ:CRWD), Block Inc (NYSE:XYZ), MongoDB (NASDAQ:MDB), Zscaler (NASDAQ:ZS), NetApp (NASDAQ:NTAP), Twilio (NYSE:TWLO), Okta (NASDAQ:OKTA).

Industry description

Computer communications industry develops technology that allows computing devices to exchange data with each other using connections/data links between nodes. Common types of computer network include Cloud (IAN), Internet, Wide (WAN, Local (LAN)/Wireless(WLAN) etc. The industry is an ever-more important part of technology, and is set to become even bigger as the Internet of Things (IoT) rapidly forays into the various aspects of our lives. Cisco Systems, Inc., Palo Alto Networks, Inc. and Arista Networks, Inc., Fortinet, Inc. are some of the major computer communications companies.

Market Cap

The average market capitalization across the Computer Communications Industry is 21.5B. The market cap for tickers in the group ranges from 48.8K to 3.05T. MSFT holds the highest valuation in this group at 3.05T. The lowest valued company is WMHI at 48.8K.

High and low price notable news

The average weekly price growth across all stocks in the Computer Communications Industry was 1%. For the same Industry, the average monthly price growth was -1%, and the average quarterly price growth was 18%. SEEMF experienced the highest price growth at 33%, while HUBC experienced the biggest fall at -38%.

Volume

The average weekly volume growth across all stocks in the Computer Communications Industry was 134%. For the same stocks of the Industry, the average monthly volume growth was -32% 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: 58
P/E Growth Rating: 77
Price Growth Rating: 63
SMR Rating: 80
Profit Risk Rating: 95
Seasonality Score: -17 (-100 ... +100)
Related Portfolios: Large-Cap Technology Stocks
View a ticker or compare two or three
MSFT
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. MSFT showed earnings on January 28, 2026. You can read more about the earnings report here.
A.I. Advisor
published General Information

General Information

a developer of software and harware products

Industry ComputerCommunications

Profile
Fundamentals
Details
Industry
Packaged Software
Address
One Microsoft Way
Phone
+1 425 882-8080
Employees
221000
Web
https://www.microsoft.com
Interact to see
Advertisement
Financial Learning Models (FLMs) and machine learning (ML) to operate at unprecedented speeds. These agents, now optimized for 5-minute (M5) timeframes, have demonstrated extraordinary annualized returns, with the top agent exceeding +160%.
AI-Driven Market Insights A.I.dvisor’s latest analysis compares SPY and VOO, two leading ETFs, revealing near-identical year-to-date (YTD) gains of 9.82% for SPY and 9.87% for VOO, a 99% parity.
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These innovative brokerage agents provide real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing exceptional performance in real-time trading signals powered by machine learning. Utilizing tick-level brokerage data and precise trade amounts, these agents operate on 5-, 15-, and 60-minute timeframes to provide traders with actionable insights in volatile markets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These cutting-edge brokerage agents deliver real-time trading signals powered by machine learning, leveraging tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes. Designed to empower traders with superior insights, the agents have demonstrated exceptional performance, including annualized returns as high as 82%.
#artificial_intelligence
The financial markets have undergone a profound transformation in recent years, driven by the integration of artificial intelligence (AI) into trading strategies. As a financial analyst, writer, and AI specialist, one observes that AI trading agents represent a pinnacle of this evolution, blending machine learning algorithms with real-time data analysis to execute trades with unprecedented precision.
#artificial_intelligence
AI trading represents a revolutionary shift in how financial markets operate, combining artificial intelligence, machine learning, and sophisticated algorithmic trading strategies to execute trades with unprecedented precision and speed.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced exceptional trading results from its AI Trading Agent focused on Hubbell Incorporated (HUBB). The agent, operating on a 5-minute timeframe, delivered a +105% annualized return, starting from an initial balance of $100,000.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents, delivering real-time trading signals and sophisticated money management for retail and institutional traders. Powered by Financial Learning Models (FLMs) and machine learning, these agents operate across 5-, 15-, and 60-minute timeframes, achieving annualized returns of up to 145% on select portfolios.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the exceptional performance of its AI Trading Agents, achieving annualized returns of up to 162%, profitable trade percentages as high as 90.51%, and a robust profit factor across multiple assets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, proudly announces the exceptional performance of its AI Trading Agents, delivering annualized returns of up to 188% on a 5-minute timeframe.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced the launch of its advanced Pattern Search Engine (PSE), a revolutionary platform that scans 39 distinct trading patterns across stocks, penny stocks, ETFs, crypto, and forex.
#artificial_intelligence
AI trading bots represent the pinnacle of financial technology innovation, transforming how traders and investors interact with global markets.
#artificial_intelligence
As a financial analyst, writer, and AI specialist, I've always pushed for innovations that merge artificial intelligence with actionable trading tools. In the fast-paced world of modern markets, where volatility demands quick decisions, Tickeron's new "My Trades Aggregator (from AI Robots Followed)" aggregator stands out as a revolutionary feature.
#artificial_intelligence#trading
Tickeron, a leading provider of AI-driven trading solutions, is thrilled to announce the exceptional performance of its AI Trading Agents, delivering outstanding results across multiple high-profile stocks.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technologies, today announced groundbreaking results from its AI Crypto Trading Virtual Agents. These innovative tools provide real-time trading signals, integrated money management, and customizable balances, all powered by advanced machine learning algorithms operating on 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technologies, today announced the launch of its advanced AI Trading Brokerage Agents. These cutting-edge tools deliver real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
This remarkable rally represents far more than typical market volatility – it signals a fundamental transformation in investor sentiment toward AI connectivity infrastructure and the critical role of semiconductor-based solutions in enabling next-generation artificial intelligence systems
Tickeron, a leader in AI-driven financial tools, today announced the launch of its comprehensive subscription package combining AI Trading Robots for cryptocurrencies with Real-Time Patterns (RTP) analysis.
#artificial_intelligence
Kinross Gold Corporation (KGC), a leading Canada-based gold producer, yielded approximately 2.1 million gold equivalent ounces in 2024.
#artificial_intelligence