Colman Domingo Details Why ‘The Madness’ Is a Drama for Today’s Era of Media Feeding FrenziesRetiring Naeher is proud of her achievements and looking forward to USWNT's next generation
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Whales with a lot of money to spend have taken a noticeably bearish stance on Datadog . Looking at options history for Datadog DDOG we detected 11 trades. If we consider the specifics of each trade, it is accurate to state that 36% of the investors opened trades with bullish expectations and 54% with bearish. From the overall spotted trades, 5 are puts, for a total amount of $900,889 and 6, calls, for a total amount of $822,240. What's The Price Target? Based on the trading activity, it appears that the significant investors are aiming for a price territory stretching from $115.0 to $195.0 for Datadog over the recent three months. Insights into Volume & Open Interest Looking at the volume and open interest is a powerful move while trading options. This data can help you track the liquidity and interest for Datadog's options for a given strike price. Below, we can observe the evolution of the volume and open interest of calls and puts, respectively, for all of Datadog's whale trades within a strike price range from $115.0 to $195.0 in the last 30 days. Datadog Call and Put Volume: 30-Day Overview Largest Options Trades Observed: Symbol PUT/CALL Trade Type Sentiment Exp. Date Ask Bid Price Strike Price Total Trade Price Open Interest Volume DDOG PUT SWEEP BULLISH 02/21/25 $4.55 $4.25 $4.33 $135.00 $519.6K 1.1K 1.2K DDOG CALL TRADE BULLISH 12/20/24 $2.58 $2.24 $2.48 $160.00 $434.0K 2.9K 1.9K DDOG CALL SWEEP BEARISH 02/21/25 $7.0 $6.9 $6.9 $165.00 $207.0K 463 303 DDOG PUT TRADE BEARISH 04/17/25 $14.8 $14.65 $14.8 $155.00 $148.0K 81 100 DDOG PUT SWEEP BULLISH 03/21/25 $14.0 $13.7 $13.7 $155.00 $116.4K 152 0 About Datadog Datadog is a cloud-native company that focuses on analyzing machine data. The firm's product portfolio, delivered via software as a service, allows a client to monitor and analyze its entire IT infrastructure. Datadog's platform can ingest and analyze large amounts of machine-generated data in real time, allowing clients to utilize it for a variety of applications throughout their businesses. After a thorough review of the options trading surrounding Datadog, we move to examine the company in more detail. This includes an assessment of its current market status and performance. Where Is Datadog Standing Right Now? Trading volume stands at 2,784,292, with DDOG's price down by -0.24%, positioned at $154.02. RSI indicators show the stock to be may be approaching overbought. Earnings announcement expected in 76 days. What Analysts Are Saying About Datadog A total of 5 professional analysts have given their take on this stock in the last 30 days, setting an average price target of $153.6. Turn $1000 into $1270 in just 20 days? 20-year pro options trader reveals his one-line chart technique that shows when to buy and sell. Copy his trades, which have had averaged a 27% profit every 20 days. Click here for access .* An analyst from Citigroup has decided to maintain their Buy rating on Datadog, which currently sits at a price target of $157. * An analyst from Scotiabank persists with their Sector Outperform rating on Datadog, maintaining a target price of $133. * An analyst from TD Cowen downgraded its action to Buy with a price target of $165. * An analyst from TD Cowen has decided to maintain their Buy rating on Datadog, which currently sits at a price target of $165. * An analyst from Rosenblatt persists with their Buy rating on Datadog, maintaining a target price of $148. Options are a riskier asset compared to just trading the stock, but they have higher profit potential. Serious options traders manage this risk by educating themselves daily, scaling in and out of trades, following more than one indicator, and following the markets closely. If you want to stay updated on the latest options trades for Datadog, Benzinga Pro gives you real-time options trades alerts. © 2024 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.70 Native American athletes set to play in Texas All-Star football game at The Star
49ers' visit gives Packers a chance to damage the playoff hopes of their postseason nemesisAs U.S. goalkeeper Alyssa Naeher looked ahead to the next Women's World Cup in 2027, she calculated what that would look like at her age. Now 36, she already has a World Cup title and won an Olympic gold medal this year in France. She considered the mental, physical and emotional toll of a new cycle and decided it was time to step away . “Honestly, I think I’ve been somebody that has given everything I’ve had to this team. I don’t do anything halfway. It’s kind of, if you can give 100% to it, then keep going," she said. “With that in mind, I kind of just felt like this was the right time coming off of the Olympics, having the year that we had, entering into a new cycle, a new stage for this team.” Naeher is the latest veteran to announce she's stepping down from the national team as the next generation takes over under coach Emma Hayes. Among those who have wrapped up their soccer careers in the past couple of years include World Cup winners Megan Rapinoe, Alex Morgan, Kelley O'Hara and Ali Krieger. Naeher will be with the team for two more matches in the coming week. The Americans play England at Wembley Stadium on Saturday and then the Netherlands in The Hague on Tuesday. Naeher said she's excited about the next generation of goalkeepers. In addition to Naeher, Mandy Haught of the Utah Royals and Phallon Tullis-Joyce of Manchester United are on the roster for the upcoming matches. Other goalkeepers who have been on recent rosters include Casey Murphy and Jane Campbell. “I think the beauty of goalkeeping is that it’s not really a one-size-fits-all kind of position," she said. "The more that you can understand — that's going to be the challenge any young goalkeeper coming up, is really taking the time to understand what your strengths are and make them really, really elite and separate yourself.” Naeher spoke on Wednesday from London after announcing her retirement on social media Monday . Naeher made her senior debut with the national team in 2014 and was a backup to Hope Solo at the 2015 World Cup, which the United States won. She became the team’s regular starter following the 2016 Rio de Janeiro Olympics and was on the squad that repeated as World Cup winners in 2019. Naeher won a bronze medal at the Tokyo Olympics in 2021 before the U.S. earned gold this year in Paris. She made a key one-handed save in stoppage time to preserve the Americans’ 1-0 victory over Brazil in the Olympic final. For her career, Naeher has appeared 113 games with 110 starts, 88 wins and 68 shutouts. She had four shutouts over the course of the Olympic tournament in France. While she's leaving the national team, she'll play one more year for her club team, the Chicago Red Stars in the National Women's Soccer League. “I hope that I can be remembered as a good teammate, as a competitor, as somebody that was looked on as someone that could be relied upon on the field and supported those players around me,” she said. “I think it’s just been a really special team to be a part of. And I’m very proud of what we have been able to accomplish over the years.” AP soccer: https://apnews.com/hub/soccerWith artificial intelligence everywhere, everyone is talking about AI and its applicability. Artificial intelligence-driven predictive analytics is also making an advance in child welfare services and has shown efficiency in preventing child maltreatment cases. This development has been made possible by individuals like Premkumar Ganesan, Consulting Manager and Technology Leader, whose team's implementation of AI-powered early intervention systems has reduced the number of child maltreatment cases by 20 per cent for participating welfare programs. Ganesan, who has led several AI initiatives in the public sector, says that predictive analytics can not only detect risk factors earlier but also guide us to data-driven interventions that can significantly reduce harm to children. It does this by analyzing patterns across health, education, and social services data points to identify families at risk before a crisis occurs.” This technology goes beyond just prevention numbers. Child welfare agencies using these AI solutions have found that operational efficiency improved by 30 per cent, freeing social workers to spend their time working on high-priority cases and letting automated systems do the mundane tasks of data crunching. The result has been millions of dollars in cost savings for state governments, resulting largely from reduced long-term intervention costs. But, such systems are not easily implemented in the sensitive child welfare arena. The AI and ethics trend is now popular, says Ganesan, 'Ensuring data privacy and compliance while maintaining effective predictive capabilities was our primary concern.' Innovative solutions that uphold strict confidentiality standards while providing real-time analytics helped his team set the benchmark for privacy-conscious AI implementation in public services. Some of the other concerns were resistance to adaptability to AI, scalability of the predictive analytical system, and delivering real-time predictions from limited history. These were solved by holding demonstrations and workshops to showcase the benefits of AI, using cloud-based infrastructure and advanced machine learning models to help scale and develop innovative AI algorithms that can generate reliable predictions by focusing on behavioural patterns and early warning signals. The biggest challenge was integrating data between the different government agencies. Too often, traditional child welfare systems are siloed, with important information scattered throughout health, education, and social service departments. By building a unified platform that allows for seamless data sharing while adhering to security protocols, Ganesan's team was able to gather information to help deal with individual cases. The success of this initiative has inspired other state agencies to adopt AI-driven solutions in their public sector services. Under Ganesan's leadership, these implementations have helped Deloitte's public sector practice grow by 10% and improved decision-making accuracy by 25% in identifying at-risk families. Looking at the current trends, Ganesan envisions even more sophisticated applications of AI in child welfare. The evolution of technology could further decrease response times and perhaps improve outcomes for vulnerable children and families. With an impressive portfolio of published research on this topic, from recent work on AI-driven early interventions in child welfare services to the role of artificial intelligence in public health, Ganesan’s expertise in this field is strong. Throughout his experience, he has consistently pointed out, that technological innovation must be balanced with ethical considerations and human judgment. This AI-driven approach has implications that go well beyond child welfare. The same predictive analytics principles could also be used for other social services and change how public sector agencies provide support to populations in need. Ganesan notes that with government agencies becoming more and more digital, it is important to maintain a human-centred approach, with technology aiding human potential. This approach to child welfare shows how artificial intelligence can make a social impact. As these systems continue to evolve and improve, they will continue to serve the current and future of child protection services around the world.
Poonch, Dec 29: Member Parliament (MP) , Rajouri-Poonch-Anantnag Parliamentary Constituency Mian Altaf Ahmad Larvi, chaired the District Development Coordination and Monitoring Committee (DISHA) meeting here. The meeting focused on assessing progress of centrally sponsored projects, flagship programs, and social security initiatives. District Development Commissioner Vikas Kundal provided a detailed presentation, highlighting achievements under key government schemes such as the Pradhan Mantri Ujjwala Yojana (PMUY), Atal Pension Yojana (APY), Pradhan Mantri Jeevan Jyoti Bima Yojana (PMJJBY) and other developmental works in the district. Mian Altaf commended the district administration for its commendable performance under these centrally sponsored initiatives. The MP emphasised the need for increased public outreach to raise awareness about government programs, ensuring that benefits reach grassroots levels. He urged the timeline completion of ongoing works, noting that of the 122,668 works planned under district Capex approximately 77.98% have been completed. During the session, it was revealed that a total of 60,354 beneficiaries are currently receiving support under social security schemes, including old age pensions, widow and divorcee assistance, and provisions for the physically challenged. Specifically, 31,959 individuals benefit from old age pensions, 4,918 from widow/divorcee assistance, and 23,477 from support for the physically challenged. Additionally, 6,741 beneficiaries have been covered under the National Social Assistance Programme, and 763 under the State Marriage Assistance Scheme for the financial year 2024-25. The MP also directed the concerned officers to ensure that every family has access to clean drinking water and stressed the importance of maintaining the quality of road construction. He urged the BRO to expedite the blacktopping of key roads and enhance connectivity for security forces and the general public. Mian Altaf called for greater awareness of the PM Surya scheme and reviewed staff strength across various departments to ensure effective implementation of government initiatives.Dunlin, a small shorebird with a droopy bill, which is facing threat to its survival, was among the 192 avian species spotted during the recently held Kochi edition of the Kerala Bird Race. The Red List of Threatened Species prepared by the International Union for Conservation of Nature has upgraded the threat level of the species to Near Threatened in 2024 from Least Concern in 2023. The species is often found in large flocks on mudflats and beaches, according to the available scientific information on the species. Dunlin was spotted at the Puthuvype beach by birders K. K. Krishnakumar, Alen Alex, and V. Ranjith. Malabar Trogon The annual event saw the number of individual birds dropping to nearly half when compared to the previous year. This year, 4,885 individual birds were counted by nearly 100 avian enthusiasts against the 187 species and 8,639 individual birds of 2023. Birders were quick to add that the fall in numbers as identified in one event could not be taken as an indicator of the trend in bird population. The population trends can be arrived at only through long-term and persistent observations, wildlife experts said. Sri Lankan Frogmouth The annual exercise coordinated by the Cochin Natural History Society, in association with the Kerala Agricultural University (Forestry College) and the State Forest and Wildlife department, covered around 100 locations in Kochi and the central Kerala region. Around 25 teams participated, according to a communication. The other prominent species that were spotted during the event are Red Avadavat, Blue-faced Malkoha, Banded Bay Cuckoo, Broad-billed Sandpiper, Little Stint, Eurasian Sparrow Hawk and Spot-bellied Eagle-Owl. The birders also recorded the presence of the Mongolian Short-toed Lark, Rosy Starling, Tickell’s Blue Flycatcher, Richard’s Pipit, Tree Pipit and Brown Fish Owl. White bellied Treepie Indhu Vijayan, Conservator of Forests, (Social Forestry) Central Region, was the chief guest. Jose T. Mathew, former head of Forest Forces, West Bengal, K. G. Dilip, Vishnupriyan Kartha, Ginu George, Jai P. Jacob, Premchand Reghuvaran, Mukundan Kizhakkemadham, and K.V. Santhosh Kumar spoke. The event is planned as an outreach programme for introducing children and youngsters to birdwatching, the organisers said. Published - November 24, 2024 09:35 pm IST Copy link Email Facebook Twitter Telegram LinkedIn WhatsApp Reddit
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