Description QUICK FactSet Workstation is designed by integrating Japanese market data by the Nikkei Group into FactSet Workstation. This content Includes real-time news and financial data from Nikkei and unique data sets from FactSet. A wide range of applications enables more efficient workflow for professionals. Brand URL https://www.factset.com/

Description Summary Qr1 is the top share information terminal for financial advisors in Japan. The “Qr1 Access Ranking” data shows what stocks (all listed) are getting attention from investors every 30 minutes and daily. Key Features 1. Check the market trend directly where market interest is going 2. Qr1 is the top share information terminal for financial advisors in Japan 3. Provide the ranking data every 30 minutes and daily Data Items (Example) ･ Rank ･ Stock code ･ Access ratio Data Collection & Process Method QUICK collects usage logs from Qr1 and calculates access ranking of individual stocks without individual information. Case Study Investment Strategies Using Access Ranking Data

Description QUICK Consensus has the widest coverage in Japanese equities including mid and small stocks in Japan since 2005. We calculate consensus on daily basis by averaging brokers’ estimates such as sales, net income, EPS, DPS, ROE, EBITDA etc. We offer point in time consensus data. Case Study Based on the Revision Index (RI) calculated from the QUICK consensus, we devised an investment strategy to determine when to buy stocks by RI calculated at the end of each month by industry. When we backtested using the RI, the performance of drugstores was the highest among the industries we evaluated. For details: Efficient Investment Strategies Using QUICK Consensus

This survey is one of Japan's largest market sentiment surveys which focus on market forecast, market influencing factors and investment stance of market participants such as traders, analysts and institutional investors in equity, fixed income and forex market. Anonymous individual forms of survey responses are used for university research.

Description Summary Access ranking for all listed stocks in Japanese market every 30 minutes Point 1. Check the market trend directly where market interest is going 2. Qr1 is the top share information terminal for financial advisors in Japan 3. Provide the ranking data daily and 30-min basis Data Items (Example) ･ Rank ･ Stock code ･ Access ratio Data Collection & Process Method QUICK collects usage logs from Qr1 and calculate access ranking of individual stocks with eliminating individual information. Case Study Investment Strategies Using Access Ranking Data

Description QUICK Consensus has the widest coverage in Japanese equities including mid and small stocks in Japan since 2005. We calculate consensus on daily basis by averaging brokers’ estimates such as sales, net income, EPS, DPS, ROE, EBITDA etc. We offer point in time consensus data.

Description QUICK independently picks timely themes and calculates its own average advance/decline ratio of related stocks. This allows the user to follow the trends of each theme from a short-term and long-term perspective and to confirm the stocks that are being selectively bought. Themes include a wide variety of timely topics, such as "Fintech", "Plastic-free" and so on.

This survey is one of Japan's largest market sentiment surveys which focus on market forecast, market influencing factors and investment stance of market participants such as traders, analysts and institutional investors in equity, fixed income and forex market. Anonymous individual forms of survey responses are used for university research.

Description QUICK independently picks timely themes and calculates its own average advance/decline ratio of related stocks. This allows the user to follow the trends of each theme from a short-term and long-term perspective and to confirm the stocks that are being selectively bought. Themes include a wide variety of timely topics, such as "Fintech", "Plastic-free" and so on.

Description TV Metadata is a dataset that 24/7 TV broadcasts (programs and TV-CMs) convert into text and databases. This data indicates when, where, what, how, and how many seconds were broadcast. You can aggregate broadcast volume and content by brands. By observing the amount of marketing activity of companies, it is possible to use it as an alternative data as a leading indicator of stock prices and an upward signal, and it can be indexed as a TV index by aggregating the broadcast volume of each brand in TV metadata by time series change. With TV information that affects sentiment, it is possible to discover stocks and make investment decisions from various perspectives, and it is also possible to create new indicators in combination with other data. Case Study Looking Ahead at Corporate Performance with TV Data Reading Ahead Corporate Sales Based on TV Commercial Airing Data

AIoT Cloud Inc., a wholly owned subsidiary of Sharp Corporation (Sharp), supports various companies’ marketing activities by utilizing lifestyle data acquired from AIoT* home appliances. TV utilization data obtained from Sharp TV sets in Japan with users' prior permission is available as “stay-at-home rate” transition data. The data can be used to forecast sales and business performance in industries susceptible to the stay-at-home rate (e.g., the food service and railroad industries). * “AIoT” is a vision of combining artificial intelligence (AI) and the Internet of Things (IoT) to connect everything with AI in the cloud, transforming it into an entity closer to people. “AIoT” is a registered trademark of Sharp.

DescriptionTV Metadata is a dataset that 24/7 TV broadcasts (programs and TV-CMs) convert into text and databases. This data indicates when, where, what, how, and how many seconds were broadcast. You can aggregate broadcast volume and content by brands. By observing the amount of marketing activity of companies, it is possible to use it as an alternative data as a leading indicator of stock prices and an upward signal, and it can be indexed as a TV index by aggregating the broadcast volume of each brand in TV metadata by time series change. With TV information that affects sentiment, it is possible to discover stocks and make investment decisions from various perspectives, and it is also possible to create new indicators in combination with other data.