Core Viewpoint - FactSet Research Systems Inc. is a prominent player in the financial data services industry, providing integrated financial information and analytical applications to investment professionals globally [1]. Group 1: Earnings Expectations - FactSet is scheduled to release its quarterly earnings on September 18, 2025, with analysts projecting an earnings per share (EPS) of $4.15 and revenue of approximately $593.4 million [2][6]. - The company is expected to report a year-over-year increase in earnings, driven by higher revenues for the quarter ending August 2025 [3][6]. - Market reactions are closely tied to the earnings report's outcome, with potential upward movement if results exceed expectations, and a decline if estimates are missed [3][6]. Group 2: Financial Metrics - FactSet's financial metrics indicate a price-to-earnings (P/E) ratio of 26.12, a price-to-sales ratio of 6.06, and an enterprise value to sales ratio of 6.61 [5][6]. - The enterprise value to operating cash flow ratio stands at 22.32, with an earnings yield of 3.83%, reflecting earnings generated per dollar invested [5]. - The company's debt-to-equity ratio is 0.75, and its current ratio is 1.47, highlighting its financial stability [5][6]. Group 3: Market Sentiment - The sustainability of immediate price changes will depend on management's discussion of business conditions during the earnings call [4]. - The Zacks Consensus Estimate suggests a positive outlook for FactSet's earnings performance, which could further impact investor sentiment [4].

The market expects FactSet Research (FDS) to deliver a year-over-year increase in earnings on higher revenues when it reports results for the quarter ended August 2025. This widely-known consensus outlook is important in assessing the company's earnings picture, but a powerful factor that might influence its near-term stock price is how the actual results compare to these estimates.The earnings report, which is expected to be released on September 18, might help the stock move higher if these key numbers ar ...

Core Insights - Tushare, a leading financial data provider and essential tool for quantitative investment, experienced a sudden service interruption due to a business dispute between its core data hosting agent and operator [1] - Tushare has mobilized its technical and operations teams to communicate and coordinate with relevant parties, but the complexity of the situation has hindered effective resolution [1] - To ensure long-term stability and sustainable development of its services, Tushare has decided to migrate its data services entirely, which is expected to take some time due to the large scale and volume of data involved [1] - Tushare Pro services may be temporarily unavailable for the next week as a result of this migration process [1]

Core Insights - The article emphasizes the capabilities of Tick History, a cloud-based historical real-time pricing data service that provides access to over 45PB of standardized data from more than 500 trading venues and third-party quote providers [3][4]. Group 1: Tick History Overview - Tick History encompasses over 1 billion tools and has historical data spanning 25 years, amounting to more than 87 trillion transactions [2]. - The service allows users to access and analyze vast amounts of data in minutes, supported by Google® BigQuery [5]. - Tick History Workbench aids in analyzing market microstructure, trading strategies, and execution quality using standard tools [6]. Group 2: MarketPsych Analysis and Models - MarketPsych offers a comprehensive suite of AI-based natural language processing (NLP) solutions, providing data feeds and predictive insights from real-time, multilingual news, social media, and financial documents [8]. - The collaboration with MarketPsych leverages cutting-edge language analysis technology to deliver superior historical coverage and market-leading timestamped data [8]. Group 3: Key Services - The service includes data digitization, converting sentiments and meanings from major countries, commodities, currencies, cryptocurrencies, and stocks into machine-readable values and signals [9]. - An emotional framework is established to measure sentiments (e.g., optimism, anger) and financial language (e.g., price predictions) from extensive news and social media content [10]. - Applications of these services include creating and enhancing trading strategies and volatility predictions [11].

Core Insights - The article emphasizes the capabilities of Tick History, a cloud-based historical real-time pricing data service that provides access to over 45PB of standardized data from more than 500 trading venues and third-party quote providers [3][4]. Group 1: Tick History Overview - Tick History encompasses over 1 billion tools and has historical data spanning 25 years, amounting to over 87 trillion transactions, enabling users to explore vast market opportunities [2]. - The service offers a consistent data experience across all exchanges, with options to view data in standardized or raw formats [3]. Group 2: Core Solutions - Tick History - Data Packet Capture (PCAP) is a cloud-based repository exceeding 20PB of high-quality global market data, allowing direct access to data center-level information [4]. - The Tick History query feature, supported by Google® BigQuery, enables users to access and analyze massive datasets within minutes [5]. Group 3: Analytical Tools - Tick History Workbench provides standard tools and a Springboard to focus on analyzing market microstructure, trading strategies, or execution quality [6]. - MarketPsych offers a suite of AI-based natural language processing (NLP) solutions, delivering data feeds and predictive insights from real-time, multilingual news, social media, and financial documents [8]. Group 4: Key Services - The service digitizes data from major countries, commodities, currencies, cryptocurrencies, stock sectors, and both public and private companies into machine-readable values and signals [9]. - An emotional framework is established to measure sentiments from extensive news and social media content, including optimism, anger, urgency, and financial language [10]. Group 5: Applications - The solutions are designed to create and enhance trading strategies and predict volatility [11].

Core Insights - Wall Street Horizon provides institutional traders and investors with accurate and comprehensive forward-looking event data [1] - The company covers 9,500 companies worldwide and offers more than 40 corporate event types [1] - The data provided helps financial professionals to take advantage of or avoid market volatility [1] Company Overview - Wall Street Horizon specializes in delivering earnings calendars, dividend dates, option expiration dates, splits, and investor conferences [1] - The company offers a range of delivery options for its event data [1] Market Impact - By keeping clients informed of critical market-moving events and revisions, Wall Street Horizon empowers financial professionals [1] - The focus on event data allows for better decision-making in the context of market volatility [1]

Group 1 - The Shanghai Composite Index successfully returned above 3500 points for the first time in nearly three and a half years, closing at 3509 points with a gain of 0.48% on July 10 [1] - The Shenzhen Component Index and the ChiNext Index also saw gains, closing at 10631 points (up 0.47%) and 2189 points (up 0.22%) respectively, with total trading volume in the Shanghai and Shenzhen markets around 149.42 billion yuan, a decrease of approximately 11 billion yuan from the previous trading day [1] - The banking sector has shown a cumulative increase of over 21% this year, contributing positively to the rise in stock indices, driven by factors such as bond-like attributes, liquidity premiums, and benefits from monetary easing [1] Group 2 - The rare earth permanent magnet sector performed well, recording a gain of 1.92%, with leading company Northern Rare Earth hitting the daily limit up (approximately 10% increase) [2] - Northern Rare Earth announced an expected net profit attributable to shareholders of the parent company, excluding non-recurring gains and losses, of 880 million to 940 million yuan for the first half of 2025 [2]

Core Insights - FactSet is actively investing in Gen AI solutions, leveraging its extensive database and flexible analytical tools to provide a range of Gen AI offerings [1] - The upcoming seminar will focus on the latest applications of Gen AI in the financial sector and share real-world case studies from overseas financial institutions [3] Event Details - The seminar is scheduled for June 19, 2025, from 14:30 to 17:00 at the Shangri-La Hotel in Pudong, Shanghai [3][5] - The agenda includes a cocktail reception from 17:00 to 18:00 [5] Seminar Agenda - Opening remarks will commence at 15:00, followed by a session on how FactSet's Gen AI solutions can drive business innovation, emphasizing efficiency and automation [6] - A segment will present real-world applications of Gen AI by overseas clients, providing innovative insights for domestic financial professionals [7] - The final part will address the challenges of rising costs in data management and how FactSet's DaaS solutions can enhance data workflows to support AI initiatives [8]

Core Viewpoint - FactSet has been dedicated to providing high-quality data services to professional financial institutions since its establishment in 1978, continuously investing in real-time market data services and enhancing technology to optimize solutions [1]. Group 1: Event Details - The seminar will focus on FactSet's content, service technology, and successful domestic case studies related to equity and FICC real-time market data [1]. - The event is scheduled for May 20, 2025, starting at 2:00 PM, with the seminar running from 2:30 PM to 5:00 PM, followed by a cocktail reception [5]. Group 2: Agenda Overview - The agenda includes an opening speech, a session on FactSet's real-time market data solutions, a discussion on the unique technical architecture that supports client success, a tea break, and a session on the content and applications of FICC real-time market data [6]. - Key speakers include Dennis Lim, Xiaorong Xu, and Pearleen Tan, who will address various aspects of market data and technology solutions [9][11][13]. Group 3: Data Content Focus - The seminar will cover topics such as U.S. Treasury and repo market data content, the use of hedging tools, and trends in commodity performance analysis [7].

Core Insights - Wall Street Horizon provides institutional traders and investors with accurate and comprehensive forward-looking event data [1] - The company covers 9,500 companies worldwide and offers more than 40 corporate event types [1] - The data includes earnings calendars, dividend dates, option expiration dates, splits, and investor conferences [1] - By keeping clients informed of critical market-moving events and revisions, the data helps financial professionals manage volatility [1]