Latest news with #StockTwits
Yahoo
7 days ago
- Business
- Yahoo
Please shut up — if you're trying to make money in the stock market
Can you all just shut up? That's not just a matter of preference — it turns out, the more people are chattering on social media, the worse future stock-market returns will be. 'The situation is extreme': I'm 65 and leaving my estate to only one grandchild. Can the others contest my will? 'You never know what might happen': How do I make sure my son-in-law doesn't get his hands on my daughter's inheritance? Trade court strikes down Trump tariffs: What it means for markets — and what's next My father-in-law has dementia and is moving in with us. Can we invoice him for a caregiver? My ex-wife said she should have been compensated for working part time during our marriage. Do I owe her? A new research paper titled 'Market Signals from Social Media' studied millions of posts on StockTwits, Seeking Alpha and the social-media platform that used to be called Twitter and is now called X. The researchers examined the sentiment of those posts as well as their frequency. It found stock-market returns rise prior to high-sentiment days, followed by a reversal over the next 20 days, but returns decline prior to high-frequency days, followed by a continuation of negative returns. This is true so much so that a trading strategy built around the findings would've produced excess returns averaging 4.6% with a Sharpe ratio — a measure of risk-adjusted returns — of 1.2, which would be a solid performance by Wall Street standards. The research paper points out sentiment is driven by lagged returns, while attention, or frequency of posts, is predicted by lagged trading. Put a different way, sentiment is driven by past performance, while attention is driven by past volume. And it's especially bad news rather than good that hits sentiment and increases attention. That meshes with theories of loss aversion. The researchers — J. Anthony Cookson from the University of Colorado at Boulder, Runjing Lu from the University of Toronto, William Mullins from the University of California San Diego and Marina Niessner from Indiana University — looked at posts between 2013 and 2021. That's a period that covered the 2013 to 2015 stock-market bull run, the 2018–19 trade war with China, and the onset of the COVID-19 pandemic. Intriguingly, they also compared their results to looking at Google and Bloomberg searches for tickers, as well as daily news stories from the New York Times and Wall Street Journal, and found the social-media data was more predictive. Read on: My husband and I earn $115K and owe $220K on our home. We're inheriting $300K. Should we invest in real estate or stock? Nvidia results are proof the tech sector is worth investor loyalty, says strategist who recommended buying at April lows My friend is getting divorced. Her husband kindly said, 'Take the house.' Is there a catch? It's my dream to travel to Africa. My husband says it's not on his bucket list. Do I pay for him or go alone? The best scenario for 2025 is stocks go nowhere, says this strategist. Here's where he says to camp out instead.
Yahoo
23-05-2025
- Business
- Yahoo
Why retail investors still have a 'buy-the-dip mentality'
US stock markets (^DJI, ^GSPC, ^IXIC) fell this week in the wake of renewed tariff threats, and retail investors are buying the dip. Stocktwits editor in chief and community vice president Tom Bruni joins Asking for a Trend with Josh Lipton to discuss what retail trading looks like right now and where investors are seeing opportunity. To watch more expert insights and analysis on the latest market action, check out more Asking for a Trend here. Well, stocks fell this week as investors assess President Trump's latest tariff threats. But according to StockTwits, retail investors are buying the dip. For more, let's welcome in now Tom Bruni, StockTwits editor in chief and VP of Community. Tom, it is always great to see you on set. Thanks for having me, Josh. So let's maybe recap some recent news, also look ahead. We had that, we had this surprise downgrade by Moody's. On StockTwits, how did people respond to that? I'm sure were they, were they selling, Tom? Were they buying the dip? What was their response? In general, people are still in that buy the dip mentality. So we saw that throughout the sell off in April. Since the lows, we see people going back to those key themes, you know. Despite what's happening with the tariffs day to day, we still really haven't seen the impact of those. They haven't really been making their way through the company supply chains and all the actual earnings. And so all we have is speculation right now. And I think there's this underlying tone that people feel like, you know, Trump and the administration are using the stock market, the bond market, markets in general, public perception as a scorecard. And so in many instances people are seeing tariffs as a short term thing as opposed to a longer term proposition. So you see evidence, at least at StockTwits, okay, folks are still broadly constructive. Yeah. When they're looking for opportunity, I'm curious where are they looking for it? Yeah, so we did a poll about a week ago. We asked, you know, the S&P is up 20% of its lows. What are you doing at this point? Are you buying? Selling? Holding? 55% of people were buying, another 16, 20% were holding. So 75% of people are still looking for opportunities and I think it comes back to the technicals, right? You know, we've seen constructive price action under the surface. You're seeing rotation in some of these core themes. So we talk about nuclear that got some movement today on the back of yesterday's executive order. We're talking about quantum computing. We're talking about other AI plays. So depending on the news of the week and the catalysts that are popping up, you're seeing this rotation under the surface. And for quantum computing specifically, we asked the community what's your top play? And I think it was 42% of people said that QBTS is their top pick and there was a Barron's interview… Why D-Wave? Why? Yeah, there was a Barron's interview where, where the CEO said they wanted to be the Nvidia of quantum computing so… I saw that. Right. Right. It doesn't, sure. Exactly. So I think that along with, I think they're a little further ahead, like fundamentally, than some of their competitors. And so the catalyst of those two plus the underlying momentum, technically helped it. What about crypto, 'cause I know you guys have been making moves there as a platform. Yeah, crypto is a big focus for retail. And as StockTwits, we launched a huge initiative last week called CryptoTwits. So we've always been a platform for educating investors, providing an outlet for communities to come together and explore markets for kind of profit and joy. And so we've always had crypto on the platform but what we've rolled out is a unique, tailored experience with new tools, you know, 17,000 coins and tokens listed, new educators to follow. So it's really an opportunity for traditional finance and crypto to come together on one platform. And as we're seeing more and more traditional finance people start to adapt crypto into their portfolio, this seems like the perfect time for StockTwits to meet that demand. So it's about right now, it's crypto, it's AI, nuclear, quantum. Who is the StockTwits user right now, Tom? Who's the? I mean is there an average demo? Are you seeing it evolving over time? Yeah. Yeah. Yeah, so we definitely skew in the 25 to 40 range, educated, has money to invest. But we typically find that people are taking a core and explore type approach. We've talked about it in the past, you know, 75% of their assets maybe in the low, slow index funds. But then 25%, we're seeing them swing for the fences looking for that alpha. And that's why we see people gravitate toward these higher growth, higher potential, higher risk, higher reward areas like crypto, like AI, like nuclear. And so, yeah, we're continuing to see appetite. Despite the day-to-day noise, crypto is the place to be. And of the survey that we recently put out, 55% of people on StockTwits think that Bitcoin could hit 150K in 2025. So still another 40% away but we shall see. Line in the sand. God. Tom, thank you, sir. Always appreciate having you. Thank you for having me. 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
Cision Canada
30-04-2025
- Business
- Cision Canada
Siyata Mobile Inc. Publishes First Shareholder AMA Video Featuring Core Gaming CEO Aitan Zacharin
VANCOUVER, BC, April 30, 2025 /CNW/ -- Siyata Mobile Inc. (Nasdaq: SYTA, SYTAW) (" Siyata" or the " Company"), a global developer and vendor of mission-critical Push-to-Talk over Cellular (PoC) handsets and accessories, is pleased to announce the release of the first shareholder Ask Me Anything ("AMA") video featuring Aitan Zacharin, CEO of Core Gaming, Inc. The video, which is available now at addresses questions submitted by shareholders through Siyata Responder on StockTwits, a social media platform dedicated to investors and traders. Siyata Responder is a Company-led initiative designed to enhance transparency and establish a direct line of communication between Company leadership and retail investors. "As we move closer to the anticipated closing of our proposed merger with Core Gaming, we recognize the importance of providing clear, consistent and timely communication to our shareholders," said Marc Seelenfreund, CEO of Siyata. "This AMA series—beginning with today's video—is one step in a broader strategy to maintain an open line of communication with the investor community." The Company expects to publish additional AMA videos in the future. To submit questions and connect with the Company directly, interested parties can access Siyata Responder at: Siyata Responder is managed and executed in collaboration with KOIOS Tech, specializing in AI-powered solutions that help publicly traded companies detect online financial threats, such as stock manipulation schemes, and optimize their investor communication strategies. About Siyata Mobile Inc. Siyata Mobile Inc. is a B2B global developer and vendor of next-generation Push-To-Talk over Cellular handsets and accessories. Its portfolio of rugged PTT handsets and accessories enables first responders and enterprise workers to instantly communicate over a nationwide cellular network of choice, to increase situational awareness and save lives. Police, fire, and ambulance organizations as well as schools, utilities, security companies, hospitals, waste management companies, resorts and many other organizations use Siyata PTT handsets and accessories today. In support of our Push-to-Talk handsets and accessories, Siyata also offers enterprise-grade In-Vehicle solutions and Cellular Booster systems enabling our customers to communicate effectively when they are in their vehicles, and even in areas where the cellular signal is weak. Siyata sells its portfolio through leading North American cellular carriers, and through international cellular carriers and distributors. Siyata's common shares trade on the Nasdaq under the symbol "SYTA", and its common warrants trade on the Nasdaq under the symbol "SYTAW". Visit to learn more. About Core Gaming, Inc. Core Gaming is an international AI driven mobile games developer and publisher headquartered in Miami. We create entertaining games for millions of players worldwide, while empowering other developers to deliver player-focused apps and games to enthusiasts. Core's mission is to be the leading global AI driven gaming company. Since our launch we have developed and co-developed over 2,000 games, driven over 600 million downloads, and generated a global footprint of over 40 million users from over 140 countries. Visit to learn more. About KOIOS Tech KOIOS Tech is a financial intelligence technology company headquartered in Herzliya, Israel. Founded in 2021, KOIOS specializes in AI-powered solutions that help publicly traded companies detect online financial threats, such as stock manipulation schemes, and optimize their investor communication strategies. By analyzing vast amounts of unstructured data from social media and online forums, KOIOS provides actionable insights to investor relations professionals, enabling them to protect and enhance shareholder value. Visit to learn more. Forward Looking Statements This press release contains forward-looking statements within the meaning of the "safe harbor" provisions of the Private Securities Litigation Reform Act of 1995 and other Federal securities laws. Words such as "expects," "anticipates," "intends," "plans," "believes," "seeks," "estimates" and similar expressions or variations of such words are intended to identify forward-looking statements. Because such statements deal with future events and are based on Siyata's current expectations, they are subject to various risks and uncertainties and actual results, performance, or achievements of Siyata could differ materially from those described in or implied by the statements in this press release. The forward-looking statements contained or implied in this press release are subject to other risks and uncertainties, including those discussed under the heading "Risk Factors" in Siyata's filings with the Securities and Exchange Commission ("SEC"), and in any subsequent filings with the SEC. Except as otherwise required by law, Siyata undertakes no obligation to publicly release any revisions to these forward-looking statements to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events. References and links to websites and social media have been provided as a convenience, and the information contained on such websites or social media is not incorporated by reference into this press release. SOURCE Siyata Mobile Inc.
Forbes
09-04-2025
- Business
- Forbes
How AI Social Sentiment Analysis Is Changing Stock Price Predictions
Kirill Sagitov, founder of winner of "Young Entrepreneur of Russia, 2019" award, and author of books. getty Social networks have become one of the most significant sources of diverse information that is hard to quantify numerically. Millions of people discuss stock prices daily, despite not being directly involved in the stock market. Even those with limited knowledge of finance feel the impact of market fluctuations on the economy and their personal wealth. These emotions shape public opinion, which businesses must consider in their strategies. Social sentiment analysis is used to study these processes. It assesses how people and society react to events related to securities. In the current reality, where a viral tweet can trigger a market crash, this has become a powerful and useful tool. If Argentina's President Milley had utilized sentiment analysis, he might have avoided the impeachment threat after his reckless endorsement of the LIBRA cryptocurrency, which caused its price to plummet, as reported by In February 2025, small businesses that the cryptocurrency was intended to support lost billions in just hours. Social analysis is a technology used to evaluate the emotional climate and reactions of internet users to specific events, often unrelated to the economy. Emotions influence people's thinking and actions, which is crucial for businesses. This information helps predict changes and can subtly influence them. For example, after Donald Trump's re-election to a second term, his media strategy shifted. During his first term, as reports, he frequently praised the U.S. economy and the stock market's growth, but such posts have now virtually disappeared from his social media. This shift could point to his team possibly using sentiment analysis to guide decisions. Previously, sentiment analysis was based on official reports and media publications. However, this approach has a significant drawback: The information is delayed. Social media, in contrast, provides instant coverage, but analysts struggle to process large data volumes in real time. AI helps solve this problem. The primary sources of data for sentiment analysis include: • Popular social networks. • Finance-focused forums, like StockTwits and Yahoo Finance. • Finance-related blogs. • News platforms. • Expert opinions and statements from public figures. The last point is crucial because it generates news and sparks discussions among experts and the general public. Some leaders use social media to influence the stock prices of their companies. They carefully craft their posts to be interpreted in multiple ways, making it difficult to hold themselves accountable, even though attempts are made, as notes. There are three key methods used in sentiment analysis: • Natural language processing (NLP) can help extract information from text and messages. • Sentiment categorization separates sentiments into 'positive,' 'negative' and 'neutral,' with scores assigned to each category. • Identifying dominant emotions such as fear, anxiety, and greed within society is also important. For example, reported that U.S. consumer sentiment dropped 10% in February compared to January due to growing pessimism among 62% of Americans. In December, they were optimistic about the new administration's ability to curb inflation, but this did not happen. A decline in consumer sentiment is a significant blow to the economy. Common tools for sentiment analysis include: • Google Cloud NLP for text analysis. • IBM Watson for sentiment shifts through AI. • FinSentS for extracting financial insights from sentiment data. • for analyzing community sentiment. Investors and traders need to react quickly to events that may prompt stockholders to buy or sell. For example, positive news about a company or reports of a catastrophic mistake by top management. In this case, acting fast is crucial, before people begin trading on the news. AI that analyzes social sentiment helps by tracking changes and predicting how people will react in terms of buying or selling stock. This gives traders an edge, allowing them to forecast stock price movements more accurately. Even AI-based analysis does not eliminate several challenges: • Fraudulent Activity: estimates that 48% of all business-related messages contain false or irrelevant information. • Discrepancies Between Sentiment And Actions: People may feel happy about something, but this doesn't guarantee they'll buy stock, especially if they lack the funds. • Manipulation Of Sentiment: Disappointment after learning the truth can affect decisions. • Human Factors: Recognizing sarcasm or humor can be difficult, especially across different languages and cultures. • Short-Term Predictions: Sentiments are volatile, so sentiment analysis is unreliable for long-term investments. As machine learning technologies improve, AI's prediction accuracy could also increase. AI will better understand human nature, emotions and motives. The integration of alternative data sources, such as web traffic and app data, could help provide deeper insights into how people's sentiments are expressed, not just through social media posts but also through other activities. The combination of sentiment analysis with blockchain technology could also help predict events on cryptocurrency exchanges, a rapidly growing field. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
