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  • How Can U.S. Politician Trading Data Be Used for Investment?

    How Can U.S. Politician Trading Data Be Used for Investment?

    1. Why is U.S. Politician Trading Data Important?

    The stock trades of U.S. politicians hold particularly significant information for investors. U.S. politicians have the authority to propose or pass bills that directly impact the economy and industries. When politicians buy or sell large amounts of a specific company’s stock, it can hint at the government’s future policy direction for that company or industry. For example, if a politician who supports electric vehicles or renewable energy purchases stocks in that sector, it may indicate potential future policy support for these areas.

    2. Collection and Verification of Politician Trading Data

    Politician trading data is collected through various channels, and it’s crucial to verify this data and make it reliable. In the U.S., major asset movements by politicians are reported by regulatory agencies such as the SEC (Securities and Exchange Commission). Our company utilizes a strong QC system to collect and verify data from multiple sources, thereby enhancing data integrity and providing investors with highly reliable information.

    3. AI-Based Error Detection and Pattern Analysis

    Politician trading data involves various variables, and precise data analysis is essential for providing investment insights. Our AI-based error detection system automatically detects abnormal or unusual patterns in politicians’ stock trading records. For example, if a certain politician buys a large volume of stocks in a related industry right before proposing a bill, our AI quickly identifies this and can alert investors. This analysis helps in understanding the correlation between politicians’ actions and policy changes.

    4. Investment Strategies Utilizing Politician Trading Data

    Using U.S. politician trading data, investors can gain clearer insights into the future direction of industries and potential policy changes. For example, if key politicians sell healthcare company stocks while a healthcare reform bill is under discussion in Congress, this might signal that the bill may not pass or could negatively impact the industry. Conversely, if politicians are buying stocks in construction or materials-related companies while an infrastructure-related bill is being discussed, it could indicate stronger policy support for that industry.

    5. Real-World Examples Demonstrating the Importance of Politician Trading Data

    5-a. Nancy Pelosi’s Stock Trades

    Nancy Pelosi, the former Speaker of the U.S. House of Representatives, has long been under scrutiny for her stock trades. In 2021, her husband, Paul Pelosi, made significant profits by trading tech stocks such as Apple and Tesla. At that time, Speaker Pelosi was in a position to influence important legislation involving these companies, raising suspicions around these trades. This incident intensified debates over the potential for politicians to exploit insider information. [Source: Forbes, 2021]

    5-b. The Stock Sale Incident of Richard Burr

    In February 2020, U.S. Senator Richard Burr sold a significant portion of his stock portfolio just before the COVID-19 pandemic began to spread in earnest. He made this decision after receiving a confidential briefing on the economic impacts of the pandemic. After the stock market plunged, Burr’s trades were investigated for insider trading, although no charges were filed. [Source: NPR, 2020]

    5-c. Dick Cheney’s Halliburton Stock Trades

    Former Vice President Dick Cheney faced significant criticism over his stock trades involving Halliburton in the early 2000s, especially concerning the U.S. involvement in the Iraq War. Cheney had served as CEO of Halliburton prior to his vice presidency, and as Vice President, he played a role in securing Iraq War contracts for the company. His stock ownership led to public skepticism over political and ethical issues surrounding his investments. [Source: Time Magazine, 2003]

    6. Investment Insights Through Politician Trading Data

    Politicians’ stock trades provide vital clues to market trends. Politicians often have access to internal policy information, making their trading activities a potentially meaningful signal for the stock market. By leveraging U.S. politician trading data, our investment analysis system connects political movements with resulting market changes, offering timely and practical insights for investors.

    Conclusion: Using Politician Trading Data for Future-Focused Investment Strategies

    U.S. politician trading data offers investors unique and valuable insights. By analyzing this data, investors can understand the correlation between political decisions and industry trends and prepare for future market shifts. With data-driven analysis, investors gain an informational advantage, allowing for more strategic understanding and responses to market movements.

    References

    Summary

    This blog post now includes three different cases: Nancy Pelosi’s stock trading, Richard Burr’s COVID-19-related trades, and Dick Cheney’s Halliburton transactions. These cases demonstrate how politician trading activities have stirred controversy across various contexts, highlighting the significance of such trading as signals for investors.

    Posted by @Ava, @Jake, @Ethan, @Noah

  • How can insider transaction be utilized?

    How can insider transaction be utilized?

    Who is an insider?

    An insider typically refers to company executives and board members. In the United States and Canada, shareholders owning over 10% of voting shares also qualify as insiders, including venture capital firms and investment companies like Berkshire Hathaway. Insider trading encompasses these insiders’ stock buying and selling activities.

    Following Insider Buying

    Insider buying signals confidence, as insiders typically don’t purchase shares when expecting price declines. When multiple insiders buy company stock, it warrants attention.

    Following Insider Selling

    Insider selling patterns can provide valuable trading insights. Studies show that clustered transactions often yield reliable trading signals.

    Key Insider Trading Patterns to Watch

    1. Insider buying carries more weight than selling, as buying typically indicates profit expectation while selling can occur for various reasons.

    Example: [Insider Buying] SNDA / Sonida Senior Living, Inc.
    Sam Levinson purchased approximately 1.05 million shares on February 1, 2024. Following investment funding news, the stock price rose significantly during February-March.

    2. Executive transactions hold greater significance due to their access to critical information.

    3. Small company insider trading often provides more profitable signals due to limited public information.

    4. Clustered transactions offer more reliable signals than individual trades.

    Example: [Cluster Selling] AMR / Alpha Metallurgical Resources Inc.
    Clustered insider selling occurred from late February to early March 2024. Following executive changes and the selling pattern, the stock price declined significantly.

    How to Find Insider Trading Information

    While Form 4 filings can be monitored on the SEC website, this process can be time-consuming. Waiker’s insider trading data API or widget offers a more efficient tracking solution.

  • Waiker Awarded the 2024 CES Innovation Award in Artificial Intelligence

    Waiker, a global stock market data tech company, has been recognized with the 2024 CES Innovation Award in the Artificial Intelligence category. Among 25 global awardees at CES, Waiker stands as the only data company, earning international acclaim for revolutionizing the stock market data industry through its technological innovations.

    Through partnerships with LSEG Refinitiv, KOSCOM, and stock exchanges like NASDAQ, Waiker has developed groundbreaking stock market data products. The company’s technology successfully transforms complex market data into meaningful datasets that demonstrate high correlation with stock prices, overcoming previous limitations in speed and accuracy.

    Global securities firms and asset management companies are increasingly implementing Waiker’s technology-based stock market data products in their digital services, signaling a shift toward data-driven innovation in the financial investment industry.

  • Shinhan Securities Partners with Waiker for Cloud-based Open Platform

    Shinhan Securities Partners with Waiker for Cloud-based Open Platform

    Shinhan Securities has announced a Memorandum of Understanding with Waiker, an AI global stock market startup, to develop a cloud-based open platform. Shinhan Securities, a subsidiary of the Shinhan Financial Group and a cornerstone of South Korea’s financial industry since the 1960s, provides comprehensive financial services including securities brokerage, investment banking, and asset management.

    Waiker specializes in AI-powered global stock market database creation and utilization. The startup has secured an exclusive service contract with the London Stock Exchange Group (LSEG) for AI data services and supplies AI-powered US stock market analysis content to KBS using their specialized Large Language Model (sLLM).

    As Shinhan Investment Securities prepares to launch its open platform, the partnership with Waiker aims to establish a technological roadmap with clearly defined stages for mutual growth and success in the global market.

    Waiker CEO Elvin Hwang commented, “From our initial efforts collecting global stock market data, we identified areas where infrastructure for the stock market is underdeveloped in certain regions. Partnering with Shinhan Securities on the enhancement of global stock market infrastructure initiative through their open platform presented an attractive opportunity for Waiker.”

    Hyeong-sook Jeon, Shinhan Securities’ ICT Group head, stated, “Distinct from entities solely fixated on AI or data collection, Waiker’s prowess lies in swiftly and adeptly converting unstructured stock market data into AI-driven databases within a hybrid cloud environment. Making the company to become an apt prime partner for our open platform.”

    While tech giants like Amazon and Google have mainstreamed data and IT infrastructure integration in consumer goods and media, the financial sector has remained conservative in adopting modern technology. Shinhan Securities aims to address this gap by leveraging both companies’ technological competencies to establish solutions that will revitalize global stock trading and data infrastructure.

  • KBS and Waiker Pioneer Live Broadcast on US Stock Analysis based on AI LLM

    KBS and Waiker Pioneer Live Broadcast on US Stock Analysis based on AI LLM

    KBS (Korean National Broadcasting) has been utilizing Waiker’s AI content and technology since June 1. Through ‘Market Now’, a news corner of Newsline W, KBS has been live broadcasting U.S. stock news using Waiker’s technology. Aimed at assisting Korean investors in U.S. stocks, Market Now has reached a maximum daily viewership of 700,000.

    Waiker, a leader in AI natural language processing technology specialized in stock market data, has secured numerous domestic and international clients through successful projects. Their sLLM (Specialized Large Language Model) swiftly analyzes unstructured information related to the global stock market, converting it into a database and generating content according to customer needs. Years of sustained taxonomy and semantic DB construction have established their unique position in mining quality data and utilizing text-generative AI technology.

    KBS has validated Waiker’s solution for broadcasting real-time U.S. stock market events, economic indicators, indices, trading volume trends, and quotes. The broadcast covers insider trading information, earnings announcements, major contracts, management matters, and IB investment opinions.

    Korean investors, who maintain an annual net purchase of approximately $4.6 billion in U.S. stocks, face challenges in accessing information due to language and time barriers. KBS implemented Waiker’s solution to help viewers find meaningful information amid the data flood.

    The U.S. stock market is renowned for its market-friendly policies, capital raising capabilities, and liquidity, along with the industrial competitiveness and growth momentum of listed companies. This has attracted worldwide investors from Europe, China, and Japan. While Korea’s KOSPI has risen by an annual average of about 0.8% since early 2012, the S&P500 has averaged about 17% growth. U.S. stocks, being dollar-denominated, can provide a hedge effect when risk asset values decline.

    ‘Market Now’ broadcasts on KBS 1TV at 10:55 PM on Mondays and 10:50 PM Tuesday through Friday on NewslineW, offering viewers insights into U.S. economic and industrial trends.

  • Waiker develops AI technology specialized in stock market data and partners with LSEG for global data business

    Waiker develops AI technology specialized in stock market data and partners with LSEG for global data business

    Waiker announced on October 4th that it has entered into an exclusive Proof of Concept (PoC) contract with the London Stock Exchange Group (LSEG) to provide AI data services based on Large Language Model (LLM) to global investment banks, including Citi, HSBC, and Nomura. Starting from the fourth quarter, Waiker’s data services will be gradually supplied to LSEG’s global clients through the PoC contract.

    Founded in 2020, Waiker has developed AI NLP (natural language processing) models specialized in stock market data that accurately and swiftly convert target data from global companies’ various disclosures, investor relations, and news articles into its databases. Previously, Waiker entered into a Memorandum of Understanding (MoU) with Refinitiv, the world’s second-largest stock market data production and distribution company, now a subsidiary of LSEG. The startup has undergone technological verification for 15 months to validate its AI data extraction, accuracy, speed, and performance.

    Waiker CEO Elvin Hwang stated, “The contract signed with LSEG stipulates that target data from disclosures, news, and reports within the digital environment will be processed with AI and conveniently provided according to the demands of potential clients, including securities firms and asset management companies.” He added, “LSEG currently has over 40,000 clients, which implies that the product supply will be targeted towards these clients.”

    Over years of extensive R&D on NLP, Waiker has gained recognition for its potential within specialized fields compared to general-purpose LLMs. Company disclosures including business contracts, management decisions, M&A, and changes in beneficial ownership are unstructured, typically centering on text and including numbers and facts, thereby causing irregularities and ambiguities. Compared to data stored in database cell formats or annotated data within documents, it is nearly impossible to analyze and collect this information in one’s database through simple crawling or scraping.

    Therefore, the added value of such data is significant when utilized by securities and asset management industries, resulting in annual cost expenditures of hundreds of thousands of dollars per corporate client. Waiker AI will provide data according to client demand, automatically analyzing and datafying unstructured information into various languages including English and Korean, via over 7B training data.

    Waiker anticipates that the PoC and joint business contract will serve as a catalyst for its global revenue growth. The collaboration between LSEG and Waiker’s specialized Large Language Model (sLLM), which can datafy unstructured information of listed companies in major stock markets including the United States, India, Japan, China, and South Korea, is expected to establish global presence and serve as an opportunity to enhance mutual benefits for both companies.

  • Waiker’s AI Reporter ‘Seohakgaemi-Bot’ Achieves 11.2M Views in First Year

    Waiker’s AI Reporter ‘Seohakgaemi-Bot’ Achieves 11.2M Views in First Year

    Waiker’s AI-powered ‘Seohakgaemi-Bot’ celebrates its one-year milestone of providing real-time financial news to Chosun Ilbo readers, reaching 11.2 million cumulative page views and publishing an average of 204 articles daily on US stock market developments.

    The AI system processes non-standardized SEC filings, overcoming language barriers and format variations that typically challenge non-English speaking investors. Through advanced machine reading and natural language processing, Waiker’s technology analyzes unstructured information in just 8 seconds, delivering immediate article distribution after SEC filings.

    Beyond serving readers, Seohakgaemi-Bot enhances newsroom efficiency by allowing reporters to focus on deeper investment analysis rather than basic information gathering. The system has consistently outpaced global media outlets like Bloomberg in breaking major stories, including Elon Musk’s Tesla share sale and SoftBank’s Coupang divestment.

    Waiker plans to expand its AI news service with broader stock market coverage and pursue global partnerships for AI-driven content projects.

  • Waiker AI Leads Global Reporting of Warren Buffett’s $352M Occidental Petroleum Investment

    Waiker AI Leads Global Reporting of Warren Buffett’s $352M Occidental Petroleum Investment

    Waiker’s ‘Seohakgaemi-Bot,’ in partnership with Chosun Ilbo, demonstrated its advanced reporting capabilities by breaking news of Berkshire Hathaway’s stake purchase in Occidental Petroleum on September 29, 2022, outpacing Reuters by 25 minutes.

    The AI system reported the $352 million transaction at 8:52 AM KST under the headline ‘Indirect Purchase of Occidental Petroleum Shares by a Stakeholding Corporation.’ Reuters followed at 9:16 AM KST, during which time Occidental Petroleum’s stock rose 3.2%.

    The transaction involved Berkshire Hathaway purchasing 5,985,190 common shares at an average price of $58.89 through a trust agreement from September 26-28, 2022. This followed the July 11 FERC approval allowing Berkshire to acquire up to a 50% stake in the company.

    This achievement builds on Seohakgaemi-Bot’s previous success in reporting Elon Musk’s Tesla stock sale in November 2021, showing improved performance with a 25-minute lead time compared to the previous 20-minute advantage.

  • Waiker Wins 2022 Korea Technology Patent Award for AI-Driven Financial Data Innovation

    Waiker Wins 2022 Korea Technology Patent Award for AI-Driven Financial Data Innovation

    Waiker, an AI-focused global stock market data startup, has received recognition at the 2022 Korea Technology Patent Awards from the Korea Intellectual Property Information Institute (KIPI) for its ‘Integrated Model and Apparatus Extracting Information from Documents Using Artificial Intelligence.’

    The prestigious award, which celebrates outstanding patent technologies in South Korea, acknowledged Waiker’s innovative approach to processing financial data. The company’s portfolio includes 15 technology patents covering natural language processing, machine comprehension, big data engineering, and data mining.

    Waiker has successfully built a database encompassing over 70,000 listed companies worldwide. The company’s AI technology addresses a critical market challenge: the non-standardized nature of US-listed company disclosures, which vary by company, disclosure type, and period. While traditional market leaders like Bloomberg still rely on manual processing, Waiker’s AI technology automates data collection and analysis, reducing errors and improving efficiency.

    The company provides customized services including real-time AI-generated articles and tailored newsletters. Their focus extends beyond basic market data to deliver an “exceptional data experience” through enhanced UX/UI, serving diverse clients including securities firms and asset management companies.

  • LSEG Refinitiv Partners with Waiker to Transform Global Financial Data Services

    LSEG Refinitiv Partners with Waiker to Transform Global Financial Data Services

    LSEG Refinitiv, a global financial data leader, has formed a strategic partnership with AI startup Waiker to revolutionize SaaS solutions in the global financial data market.

    Refinitiv, acquired by the London Stock Exchange Group for $27 billion in 2021, serves over 40,000 financial institutions with annual revenue of $6.25 billion. The company employs approximately 20,000 people worldwide, specializing in financial data processing and analysis.

    Waiker has distinguished itself by addressing long-standing UX/UI challenges in stock market data services, processing data for over 70,000 listed stocks across 12 nations. The partnership will focus on developing integrated services for global stock data digital transformation, SaaS solutions, and AI applications, leveraging LSEG Refinitiv’s extensive financial institutional network.

    “Waiker’s real-time stock market data processing technology and AI capabilities have proven their global potential,” said Kim Seok-jun, CEO of Refinitiv Korea. “We anticipate co-innovation in the data industry, which is fundamental to finance.”

    Elvin Hwang, Waiker’s CEO, emphasized the partnership’s significance: “We will leverage Refinitiv’s 170-year history, global network of 40,000 financial institutions, and comprehensive data resources to accelerate our global expansion and drive mutual growth.”