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

Big Retailers Using Blockchain for Food Safety

Blockchain is the backbone of cryptocurrencies, but the past two years have seen an explosion of use cases for the technology outside of the crypto world. KPMG’s latest “The Pulse of Fintech” report revealed not only increased attention for blockchain-focused companies from investors but also a burgeoning area of interest for those companies – supply chain management.

Now Walmart and their Sam’s Club subsidiary have announced that a blockchain-based food safety system, IBM Food Trust, will soon be implemented with a segment of their dealers. By September 2019, all leafy greens suppliers to the companies will be required to upload their information to the system as part of a real-time tracking initiative.

IBM has worked to develop blockchain solutions for multiple industries in recent years. Until now, supply chains have consisted of multiple manual processes that make tracking issues and specific incidences difficult. Blockchain provides the advantages of digitization, with increased transparency that would make it significantly easier to track issues, like the E. coli outbreak from contaminated romaine lettuce that killed five people earlier this year.

According to TechCrunch, “each node on the blockchain could represent an entity that has handled the food on the way to the store, making it much easier and faster to see if one of the affected farms sold infected supply to a particular location with much greater precision” – speeding up a process that previously took around 7 days to roughly 2.2 seconds.

IBM Food Trust was developed with the understanding that each party on the supply chain might have a different way of uploading information the blockchain, “from paper to Excel spreadsheets to sophisticated ERP systems.” Walmart spokeswoman Molly Blakeman told TechCrunch that suppliers don’t need to have an expert-level understanding of blockchain – they simply need to know how to get their data onto the application. “IBM will offer an onboarding system that orients users with the service easily,” said Blakeman, comparing the process to setting up a new iPhone. “Essentially, suppliers will [just] need a smart device and internet to participate,” Blakeman added.

Walmart is not the only major corporation to work with IBM Food Trust, as Nestle, Unilever, Tyson, and more have come on board since 2017. Frank Yiannas, Walmart’s vice president of food safety, called the decision a “smart, technology-supported move that will greatly benefit [Walmart’s] customers and transform the food system, benefitting all stakeholders.” A world where infected food can be intercepted well before it reaches consumers is here, as blockchain has yet again made good on some of its promise for real-world applications.
 

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

For no charge, you can 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 generating news, finding trade patterns, and creating fresh investment and trade ideas for the cryptocurrency, stock, ETF, and Forex markets. Unleash the power of Artificial Intelligence to invest faster and smarter!

Start a free 45-day trial today on tickeron.com.

Related Ticker: WMT

Momentum Indicator for WMT turns positive, indicating new upward trend

WMT saw its Momentum Indicator move above the 0 level on October 15, 2024. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 85 similar instances where the indicator turned positive. In of the 85 cases, the stock moved higher in the following days. The odds of a move higher are at .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where WMT advanced for three days, in of 335 cases, the price rose further within the following month. The odds of a continued upward trend are .

The Aroon Indicator entered an Uptrend today. In of 347 cases where WMT Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Bearish Trend Analysis

The 10-day RSI Indicator for WMT moved out of overbought territory on September 26, 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 53 similar instances where the indicator moved out of overbought territory. In of the 53 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.

The Moving Average Convergence Divergence Histogram (MACD) for WMT turned negative on September 18, 2024. 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 46 similar instances when the indicator turned negative. In of the 46 cases the stock turned lower in the days that followed. This puts the odds of success at .

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

WMT broke above its upper Bollinger Band on October 15, 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 Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 52, placing this stock better than average.

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating outstanding price growth. WMT’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 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 SMR rating for this company is (best 1 - 100 worst), indicating slightly weaker than average sales and a marginally 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 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 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 (7.686) is normal, around the industry mean (7.972). WMT has a moderately high P/E Ratio (42.057) as compared to the industry average of (24.061). Projected Growth (PEG Ratio) (3.234) is also within normal values, averaging (3.039). Dividend Yield (0.010) settles around the average of (0.020) among similar stocks. P/S Ratio (0.983) is also within normal values, averaging (1.332).

Notable companies

The most notable companies in this group are Walmart (null:WMT), Costco Wholesale Corp (null:COST), Target Corp (null:TGT), Dollar General Corp (null:DG), Dollar Tree (null:DLTR).

Industry description

Companies in the discount stores industry specialize in offering substantial discounts on a vast array of retail products. Some companies in this industry also operate general merchandise warehouse clubs. Products sold at discount stores are typically similar to those of any department store, but the pricing of the goods is generally much lower (and hence the name “discount”). Think Dollar General Corporation, Dollar Tree, Inc. and Five Below, Inc. Many discount stores target low-income households and/or price-sensitive consumers as their potential market. Discount stores’ profitability could hinge on factors like competitive pricing, sufficient locations, healthy revenue per square foot, and effective advertisement. These store operators could have an edge over other retailers during financial crises or recessions, when many consumers could be looking for less expensive alternatives.

Market Cap

The average market capitalization across the Discount Stores Industry is 83.56B. The market cap for tickers in the group ranges from 1.78K to 649.09B. WMT holds the highest valuation in this group at 649.09B. The lowest valued company is TUEMQ at 1.78K.

High and low price notable news

The average weekly price growth across all stocks in the Discount Stores Industry was -1%. For the same Industry, the average monthly price growth was 3%, and the average quarterly price growth was 0%. TBBB experienced the highest price growth at 7%, while BMRPF experienced the biggest fall at -4%.

Volume

The average weekly volume growth across all stocks in the Discount Stores Industry was -12%. For the same stocks of the Industry, the average monthly volume growth was -24% and the average quarterly volume growth was -7%

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: 65
Price Growth Rating: 55
SMR Rating: 46
Profit Risk Rating: 51
Seasonality Score: 33 (-100 ... +100)
View a ticker or compare two or three
WMT
Daily Signalchanged days ago
Gain/Loss if shorted
Show more...
Ad is loading...
A.I.Advisor
published price charts
A.I. Advisor
published General Information

General Information

a retail discount department store

Industry DiscountStores

Profile
Fundamentals
Details
Industry
Specialty Stores
Address
702 S.W. 8th Street
Phone
+1 479 273-4000
Employees
2100000
Web
https://stock.walmart.com
Ad is loading...
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.
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.
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 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.
In the ever-evolving landscape of financial markets, artificial intelligence (AI) trading bots have emerged as powerful tools, providing investors with automated strategies to navigate the complexities of stock trading. In this analysis, we delve into the recent performance of AI trading robots, specifically those accessible through "Trend Trader, Popular Stocks: Price Action Trading Strategy (TA&FA)," which demonstrated a remarkable +4.67% gain while trading MRVL over the previous week.
The use of artificial intelligence (AI) in trading has become increasingly prevalent, with bots proving their mettle in the dynamic world of stocks. In this analysis, we delve into the recent performance of AI trading robots, specifically those accessible through "Swing Trader: High Volatility Stocks for Active Trading (TA&FA)." One noteworthy achievement is the impressive +4.65% gain generated by these bots while trading AMD over the course of the previous week.
In July, Apple (NASDAQ: AAPL) made history as the first company to close regular-session trading with a market capitalization exceeding $3.5 trillion. Despite early session declines, Apple stock reached an all-time high of $229.40 and closed at $228.68.
Swing trading involves holding positions for several days to weeks to capture gains from market movements that unfold over a medium-term horizon. This strategy relies on technical analysis to identify potential entry and exit points, often supplemented by fundamental analysis to strengthen trade decisions.
The cleaning sector has exhibited a notable performance increase, experiencing a +4.71% rise over the past week. This performance surge reflects positive market sentiment and possibly increasing demand within the sector.
The immuno-oncology sector, comprising companies that develop advanced technologies for cancer treatment, has shown promising performance recently. This sector's innovation and critical role in advancing cancer treatments have led to a significant market response, reflected in a notable +8.04% increase in performance over the past week. Below is an analysis of the key players in this group—Corvus Pharmaceuticals (CRVS), AnaptysBio (ANAB), and iTeos Therapeutics (ITOS)—focusing on market capitalization, price movements, volume changes, and technical indicators.
U.S. stocks took a hit as tech shares dropped and the yen strengthened, leading to a 1,033-point drop in the Dow. With growing concerns over the Fed's rate policy, analysts now predict multiple rate cuts to address rising economic risks.
The technology sector remains a dynamic space for investors, with certain themes like portable devices showing substantial growth potential. Over the past week, the portable devices theme has seen an impressive performance with a +14.86% increase, highlighting the strength and resilience of companies operating within this sector. In this article, we will explore key metrics such as market capitalization, price trends, and volume growth, while also taking a closer look at the individual performances of companies within this theme, particularly focusing on Apple Inc. (AAPL), CEVA Inc. (CEVA), and Generac Holdings Inc. (GNRC).
The performance of companies in the fish-selling category has attracted significant attention recently, primarily due to the group's impressive +19.69% increase in performance over the past week. The 'fish' category, which includes companies that sell or produce fish, often overlaps with firms involved in poultry, frozen meat, and dairy products. Notable companies in this sector include Lifeway Foods, Inc. (LWAY), Sanderson Farms, Inc., and Hormel Foods Corp. (HRL). In this article, we will explore the market dynamics, price movements, and volume changes affecting this sector, with a focus on the group of tickers HRL, LWAY, BRFS, and PPC.
Two standout models are at the core of Tickeron's new bots (robots). Identifying and acting on price drops ("search for dips") and leveraging significant volatility spikes.
Tickeron has introduced advanced AI trading bots designed for day traders, utilizing Financial Learning Models (FLMs) and technical analysis to optimize strategies in high-volatility markets. These bots are engineered to capitalize on price surges and provide precise, short-term trading opportunities.
The railroads sector has recently demonstrated impressive performance, with a notable +19.69% increase in performance over the past week. This surge underlines the sector's critical role in freight and passenger transportation across North America, providing essential infrastructure for both national and international trade logistics. This article delves into the sector's key players, their market performance, and recent trends that are shaping the future of rail transport.
The uranium sector has been gaining notable attention recently, with a sharp uptick in performance. As of last week, uranium companies have seen a significant increase in performance by +10.69%. This surge brings renewed focus to uranium, a critical element used in nuclear power generation. With nuclear energy gaining traction as a cleaner alternative, companies engaged in uranium acquisition, exploration, and development are well-positioned to capitalize on this demand.