Latest news with #Openflow
Yahoo
04-07-2025
- Business
- Yahoo
Weekly Option Windfall: Snowflake Call Spread Boasts 31% Profit Potential
The artificial intelligence boom has kicked into high gear. Snowflake is one of the companies leading the AI movement. Its cloud-based platform includes AI Data Cloud, which enables customers to consolidate data to drive meaningful business insights, build related applications, and solve complex business problems. The stock is displaying relative strength and hitting a series of 52-week highs. Recent price movement is a sign of strength as we head further into 2025. Increasing volume has attracted investor attention as buying pressure accumulates in this leading stock. Snowflake is part of the Zacks Internet - Software industry group, which currently ranks in the top 19% out of more than 250 industries. Because this group is ranked in the top half of all Zacks Ranked Industries, we expect it to outperform the market over the next 3 to 6 months, just as it has so far this year: Image Source: Zacks Investment Research Historical research studies suggest that approximately half of a stock's price appreciation is due to its industry grouping. In fact, the top 50% of Zacks Ranked Industries outperforms the bottom 50% by a factor of more than 2 to 1. It's no secret that investing in stocks that are part of leading industry groups can give us a leg up relative to the market. By focusing on leading stocks within the top industries, we can dramatically improve our stock-picking success. Snowflake solves long-standing challenges related to data silos and governance by providing secure access and sharing capabilities, often without moving or copying the data across multiple clouds. The company's customers can combine datasets, enhance data science efforts, and monetize insights with near-zero infrastructure maintenance. In the first-quarter, the company introduced more than 125 product capabilities to the market, a 100% increase year-over-year. Products like Generation 2 Warehouses, Adaptive Compute, Openflow and Snowflake Intelligence are helping drive new enterprise adoption. Snowflake's customer-centric, consumption-based pricing model ensures users only pay for the resources they use. This provides Snowflake with a recurring, high-margin revenue stream. Partnerships and acquisitions have been a key catalyst for Snowflake. The company's rich partner base includes the likes of NVIDIA, Amazon, Microsoft, ServiceNow and Meta Platforms. Snowflake SNOW has built up an impressive reporting history, surpassing earnings estimates in each of the past four quarters. The company delivered a trailing four-quarter average surprise of 34.7%. Growth trends remain quite favorable, with Snowflake's bottom line expected to leap 27.7% in fiscal 2026 to $1.06 per share. Revenues for the year are projected to surge 24.6% to $4.52 billion. Image Source: Zacks Investment Research While there are many ways to take advantage of a bullish move in SNOW stock, options provide us with flexibility, enabling us to tailor our strategy to the current market environment. When done correctly, trading options provides huge profit opportunities with limited risk, making options one of the most versatile investment vehicles. Before we analyze today's trade, let's review some option fundamentals as a refresher. There is no need to worry about complex mathematical formulas or equations. Over the years I've found that the more complicated a strategy is, the less likely it is to work over the long run. Options are standardized contracts that give the buyer the right – but not the obligation – to buy or sell the underlying stock at a fixed price, which is known as the strike price. A call option gives the buyer the right to buy a particular security, while a put option gives the buyer the right to sell the same. The investor who purchases an option, whether a put or call, is the option buyer, while the investor who sells a put or call is the seller or writer. These contracts are valid for a specific period of time which ends on expiration day. There are weekly options, monthly options, and even LEAPS options which are longer-term options that have an expiration date of greater than one year. Option spreads can be an extremely effective strategy. Debit spreads are implemented by purchasing a call option and selling a related call option with a higher strike price. These types of trades are limited risk trades because the short option is 'covered' by the option purchase. Below we're going to explore a call option spread strategy. Snowflake has been outperforming the market off the April lows and currently meets our criteria for initiating a bullish call option spread position. Image Source: StockCharts The table below displays the risk/reward profile for this trade. SNOW is trading at $217.34/share at the time of this writing. This trade involves purchasing the August 190-strike call at 30.2 points (yellow box), and selling the August 200-strike call at 22.6 points (orange box) for a total cost of 7.6 points. As option contracts represent 100 shares of the underlying security, this would translate to a total cost of just $760 per spread (brown box). Image Source: Zacks Investment Research The top (blue) row in the lower section shows the performance of SNOW stock based on different percentage scenarios at expiration. The last (purple) row shows the corresponding percentage return for our debit spread trade. We can see that regardless of whether SNOW increases in price, remains flat, or even loses 5% from our entry, our option spread trade will produce a 31.6% return. These are types of odds I like to have in my favor when trading options. 1) The Option Sale Provides Downside Protection The sale of a call option results in cash being credited to your brokerage account. This reduces the cost basis of the option purchase and provides downside protection in the event the price of the underlying stock declines. 2) Risk is Reduced In the SNOW trade just presented, the sale of the 200-strike call reduced the risk of the 190-strike purchase from $3,020 to just $760 per contract. 3) Allows Us to Maintain Positions During Volatile Markets The downside protection provided by the call option sale helps us maintain our spread trade during heightened volatility. Naked option purchases may force us to sell early in order to prevent large losses. 4) Spreads Can Be Profitable If Stock Goes Up or Down Option spreads can be profitable even if the underlying stock decreases or remains flat, providing us with an entirely new dimension of money-making opportunities. Remember that the call option sold through this strategy profits as the price of the underlying stock declines, providing us with a cushion during market pullbacks. Option spreads are a safe way to use the leverage inherent in options. Your risk is limited to the price paid for the spread. The call option spread strategy is an excellent way to take advantage of the bullish move in SNOW as the stock looks primed to continue its outperformance. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Snowflake Inc. (SNOW) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research
Business Insider
10-06-2025
- Business
- Business Insider
Snowflake Stock (SNOW) Continues to See Buy Ratings Pour In from Top Analysts
Analysts appear to have a positive view of software stock Snowflake (SNOW), as they see strong growth potential ahead. Indeed, five-star Jefferies analyst Brent Thill recently raised his price target on the stock from $220 to $250 and kept a Buy rating. While Snowflake didn't make any major announcements at its recent user conference, Jefferies noted that the company's quick innovation is driving excitement. One key example is Snowflake Intelligence, which is an early-stage product that is 'generating strong buzz' and could help the company expand its market presence. Confident Investing Starts Here: Separately, five-star analyst William Power from Baird also reiterated a Buy rating on Snowflake and pointed to several reasons for his bullish view. To begin with, the company's new Cortex/ AI product is expected to drive future growth, and Snowflake's focus on improving data access and analytics gives it an edge in today's data-driven world. At the same time, Snowflake is expanding its distribution network and strengthening its sales strategies. Another growth driver is the Gen2 Warehouses offering, which provides faster computing and better pricing. In addition, five-star Stifel Nicolaus analyst Brad Reback shared this optimism and maintained a Buy rating after the user conference. Reback noted that customers and partners are increasingly choosing Snowflake over competitors like Databricks for data science, engineering, and machine learning projects. Customers also gave very positive feedback on Snowpark, and many are excited about Openflow, which is a new tool that could remove the need for older middleware ETL platforms. Finally, Snowflake continues to lead in its core SQL business while gaining traction in newer tech. Is SNOW a Good Buy Right Now? Overall, analysts have a Strong Buy consensus rating on SNOW stock based on 34 Buys, six Holds, and zero Sells assigned in the past three months, as indicated by the graphic below. Furthermore, the average SNOW price target of $226.74 per share implies 7.6% upside potential.
Web Release
05-06-2025
- Business
- Web Release
Snowflake Unveils Comprehensive Product Innovations to Empower Enterprises to Achieve Their Full Potential Through Data and AI
Snowflake Unveils Comprehensive Product Innovations to Empower Enterprises to Achieve Their Full Potential Through Data and AI Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced several product innovations at its annual user conference, Snowflake Summit 2025 , designed to revolutionize how enterprises manage, analyze, and activate their data in the AI era. These announcements span data engineering, compute performance, analytics, and agentic AI capabilities, all aimed at helping organizations break down data silos and bridge the gap between enterprise data and business action — without sacrificing control, simplicity, or governance. 'With our latest announcements, we're showcasing how Snowflake is fundamentally redefining what organizations can expect from a modern data platform,' said James Petter, Vice President, Snowflake EMEA. 'These innovations are focused on helping businesses make AI and machine learning workflows more easy, connected, and trusted for users of all abilities by democratizing access to data and eliminating the technical overhead that slows down business decision-making.' Snowflake Openflow Unlocks Full Data Interoperability, Accelerating Data Movement for AI Innovation Snowflake unveiled Snowflake Openflow , a multi-modal data ingestion service that allows users to connect to virtually any data source and drive value from any data architecture. Now generally available on AWS, Openflow eliminates fragmented data stacks and manual labor by unifying various types of data and formats, enabling customers to rapidly deploy AI-powered innovations. Snowflake Openflow embraces open standards, so organizations can bring data integrations into a single, unified platform without vendor lock-in and with full support for architecture interoperability. Powered by Apache NiFi ™, an Apache Software Foundation project built to automate the flow of data between systems, Snowflake Openflow enables data engineers to build custom connectors in minutes and run them seamlessly on Snowflake's managed platform. With Snowflake Openflow, users can harness their data across the entire end-to-end data lifecycle, while adapting to evolving data standards and business demands. Hundreds of ready-to-use connectors and processors simplify and rapidly accelerate data integration from a broad range of data sources including Box, Google Ads, Proofpoint, ServiceNow, Workday, Zendesk, and more , to a wide array of destinations including cloud object stores and messaging platforms, not just Snowflake. Snowflake Unveils Next Wave of Compute Innovations For Faster, More Efficient Warehouses and AI-Driven Data Governance Snowflake announced the next evolution of compute innovations that deliver faster performance, enhanced usability, and stronger price-performance value — raising the bar for modern data infrastructure. This includes Standard Warehouse – Generation 2 (Gen2) (now generally available), an enhanced version of Snowflake's virtual Standard Warehouse with next-generation hardware and additional enhancements to deliver 2.1x faster analytics performance. Snowflake also introduced Snowflake Adaptive Compute (now in private preview), a new compute service that lowers the burden of resource management by maximizing efficiency through automatic resource sizing and sharing. Warehouses created using Adaptive Compute, known as Adaptive Warehouses, accelerate performance for users without driving up costs, ultimately redefining data management in the evolving AI landscape. Snowflake Intelligence and Data Science Agent Deliver The Next Frontier of Data Agents for Enterprise AI and ML Snowflake announced Snowflake Intelligence (public preview soon), which enables technical and non-technical users alike to ask natural language questions and instantly uncover actionable insights from both structured tables and unstructured documents. Snowflake Intelligence is powered by state-of-the-art large language models from Anthropic and OpenAI, running inside the secure Snowflake perimeter, and is powered by Cortex Agents (public preview) under the hood — all delivered through an intuitive, no-code interface that helps provide transparency and explainability. Snowflake also unveiled Data Science Agent (private preview soon), an agentic companion that boosts data scientists' productivity by automating routine ML model development tasks. Data Science Agent uses Anthropic's Claude to break down problems associated with ML workflows into distinct steps, such as data analysis, data preparation, feature engineering, and training. Today, over 5,200 customers from companies like BlackRock, Luminate, and Penske Logistics are using Snowflake Cortex AI to transform their businesses. Snowflake Introduces Cortex AISQL and SnowConvert AI: Analytics Rebuilt for the AI Era Snowflake announced major innovations that expand on Snowflake Cortex AI , Snowflake's suite of enterprise-grade AI capabilities, empowering global organizations to modernize their data analytics for today's AI landscape. This includes SnowConvert AI , an agentic automation solution that accelerates migrations from legacy platforms to Snowflake. With SnowConvert AI, data professionals can modernize their data infrastructure faster, more cost-effectively, and with less manual effort. Once data lands in Snowflake, Cortex AISQL (now in public preview) then brings generative AI directly into customers' query engines, enabling teams to extract insights across multi-modal data and build flexible AI pipelines using SQL — all while providing best?in?class performance and cost efficiency. Snowflake Marketplace Adds Agentic Products and AI-Ready Data from Leading News, Research, and Market Data Providers Snowflake announced new agentic products on Snowflake Marketplace that accelerate agentic AI adoption across the enterprise. This includes Cortex Knowledge Extensions (generally available soon) on Snowflake Marketplace , which enables enterprises to enrich their AI apps and agents with proprietary unstructured data from third-party providers — all while allowing providers to protect their intellectual property and ensure proper attribution. Users can tap into a selection of business articles and content from The Associated Press, which will help users further enhance the usefulness of results in their AI systems. In addition, Snowflake unveiled sharing of Semantic Models (now in private preview), which allows users to easily integrate AI-ready structured data within their Snowflake Cortex AI apps and agents — both from internal teams or third-party providers like CARTO, CB Insights, Cotality™ powered by Bobsled, Deutsche Börse, IPinfo, and truestar.
Yahoo
04-06-2025
- Business
- Yahoo
Quantiphi Partners with Snowflake on Snowflake Openflow Launch to Power AI Data Integration
SAN FRANCISCO, June 4, 2025 /PRNewswire/ -- Quantiphi, an AI first digital engineering company, announced at Snowflake's annual user conference, Snowflake Summit 2025, that it has partnered with Snowflake, the AI Data Cloud company, to support the launch of Snowflake Openflow — a multi-modal data ingestion service that allows users to easily connect to a variety of data sources and drive value from any data architecture, revolutionizing data movement and accelerating enterprise-grade data integrations built for the AI era. Snowflake Openflow is an open, extensible, managed, multi-modal integration service that simplifies data movement between data sources and destinations for various data types, including structured, unstructured, batch and streaming. With Snowflake Openflow, enterprises can move data effortlessly and scale operations for all integration needs with confidence, all within Snowflake's easy, connected and trusted platform. "Snowflake Openflow is a game-changer for data integration, making previously trapped data accessible and usable," Quantiphi Snowflake Alliance Head Pronoy Roy said. "Together with Quantiphi's AI expertise, we are enabling our shared customers to rapidly unlock insights and foster a truly data-driven culture, turning data into a valuable business asset. Customers will be able to significantly reduce friction in integrating data sources, innovate faster and derive tangible value from the entirety of an organization's data landscape." As a longstanding Elite Partner in the Snowflake ecosystem, Quantiphi has consistently led innovation at the intersection of AI, machine learning and modern data platforms. With a proven track record of excellence and multiple accolades, Quantiphi pushes boundaries by embracing emerging technologies and delivering transformative business outcomes for the companies' shared customers. By leveraging the enhanced capabilities of Openflow and Quantiphi's built-in generative AI accelerators, Quantiphi will empower customers to build unified and intelligent data estates, streamline end-to-end ML pipelines, and productionize next-gen AI use cases at industry-leading speed. "Snowflake Openflow is changing how businesses handle their data by making it easier to connect, process, and analyze information across their organization," Snowflake Director of Product Management Saptarshi Mukherjee said. "It helps companies work with their data faster and more efficiently, while keeping it secure - allowing them to focus on using AI to get the most value from their information." As a pioneer in bringing the power of AI agents to large-scale Extract Transform Load (ETL) modernization and migration initiatives, Quantiphi brings a unique advantage of 200-plus ready-to-use utilities, human-guided agents and advanced code auto-complete features to help customers innovate with speed and precision. Coupled with Openflow's integration power, Quantiphi simplifies legacy workflows, consolidates siloed systems and rapidly operationalizes AI at scale, maximizing ROI and unlocking faster time-to-insight across the Software Development Life Cycle (SDLC). To learn more about Quantiphi, visit To learn more about Snowflake Openflow, visit the Snowflake blog here. Stay up to date on the latest news and keynotes from Snowflake Summit 2025 live or on-demand here. About Quantiphi:Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at and follow us on LinkedIn, X, formerly Twitter, and Instagram and YouTube. Media Contact:H. Newsroom View original content to download multimedia: SOURCE Quantiphi Sign in to access your portfolio
Yahoo
04-06-2025
- Business
- Yahoo
Kasmo Partners with Snowflake to Support the Launch of Snowflake Openflow: Powering Data Integration for the AI Era
Kasmo's integration enables innovation, ensures compliance, and enhances customer responsiveness SAN FRANCISCO, June 4, 2025 /PRNewswire/ -- Kasmo today announced at Snowflake's annual user conference, Snowflake Summit 2025, that it has partnered with Snowflake, the AI Data Cloud company, to support the launch of Snowflake Openflow — a multi-modal data ingestion service that allows users to easily connect to virtually any data source and drive value from any data architecture. With Snowflake Openflow, Kasmo and Snowflake are collaborating to revolutionize data movement with pre-built connector templates, tailored solutions and full lifecycle enablement of the platform. "Built on Snowflake's native platform, Openflow delivers AI-driven insights at unmatched speed, providing businesses with complete control and governance at scale. As a Snowflake partner with deep implementation expertise, we are excited about Openflow's ability to empower our enterprise customers to evolve from siloed systems to seamlessly integrated intelligence." — Chakrapani Kodavati, VP, Snowflake Practice, Kasmo. Snowflake Openflow is an open, extensible, managed multi-modal integration service that simplifies data movement between data sources and destinations for various data types, including structured, unstructured, batch, and streaming. With Snowflake Openflow, organizations can move data effortlessly and scale operations for all integration needs with confidence — all with Snowflake's easy, connected, and trusted platform. Kasmo is excited to be part of the Openflow launch, bringing its implementation expertise to amplify its impact. With pre-built connectors and accelerators, Kasmo is enabling seamless data onboarding into Snowflake Openflow — without requiring users to rewrite or restructure their existing pipelines. Kasmo's vision is to enable customers with faster deployment, reduced complexity, and a future-ready data architecture that supports personalization, predictive intelligence, and monetization at scale. "Snowflake Openflow is redefining what's possible in the data integration landscape. By fusing intelligent automation with enterprise-grade architecture, we're enabling organizations to break free from traditional data constraints," said Chris Child, VP of Product, Data Engineering, Snowflake. "This isn't incremental progress — it's a fundamental shift in how enterprises can activate their data. Teams can now orchestrate complex data workflows with the speed of thought, while maintaining ironclad security and compliance." To learn more about Snowflake Openflow, visit the Snowflake blog here. Stay up to date on the latest news and keynotes from Snowflake Summit 2025 live or on-demand here. Media Contact Puru Boreddy sales@ View original content: SOURCE Kasmo Digital Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
