Description This file service includes the following items; Securities Identification Code, ISIN, Abbreviated company name, Company name, English company name, Sector Code, Trading Unit, Closing Data, Number of Outstanding shares etc.

Description Summary All Japanese corporate action data Point 1. Automatic analysis of the disclosures posted on TDnet and EDINET 2. Immediate deliver in text format 3. Cover all corporate actions in Japan Data Items (Example) ･ Earnings forecast revision ･ Stock split Data Collection & Process Method QUICK analyzes PDF and XBRL files posted on "TDnet", the Tokyo Stock Exchange's service providing timely disclosure releases and "EDINET", the Financial Services Agency's electronic disclosure system for disclosure materials and convert into a text format.

Description Among the margin trading restrictions, the probability of measures being triggered to raise the customer margin ratio has been scored. The probability of the margin trading restriction being triggered is statistically forecasted based on the guidelines of the stock exchange and the past margin trading balances which had been subject to the restrictions. The probability of incurring premium charges is statistically calculated from past margin trading balances and balances of loans for margin trading.

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

Description Purchase statistics data is obtained from the Digital Receipt service developed by Toshiba Group, with its strength in point of sales (POS) systems. This service provides data such as “when, where, what, how much, and how many were purchased” in a manner that does not identify the retailer or purchaser. From changes in purchasing behavior, it can be used to predict the sales and business performance of the manufacturer. Case Study Reading Ahead Food Manufacturers’ Performance

Description News analysis provides tag data and positive/negative scores estimated from Japanese reliable news sources from Nikkei, NQN and QUICK. This service has achieved a highly accurate analysis by applying natural language processing technology of Nikkei Financial Technology Research Institute (Nikkei FTRI).

Description Summary Specialized data only in share buybacks of listed companies in Japan Point 1. Provide well-maintained share buybacks data 2. Include original items in addition to public information 3. Monitor the progress and predict the timing based on our share buybacks data Data Items (Example) ･Announcement date ･Purchase method ･Share buyback progress Data Collection & Process Method QUICK extracts share buybacks data from corporate disclosure information, and calculates original items."

Description SMACOM provides unique information such as various scores and data analyzed by Nikkei Financial Technology Research Institute, Inc. (NIKKEI FTRI), and helps professional institutional investors with their investment decision-making. SMACOM attracts portfolio managers and quant analysts by its outputs which are extracted and/or calibrated from various data such as financial information, corporate disclosures, news, macro/micro economic data, and alternative data such as POS. SMACOM’s information includes the following scores; News sentiment score / SR sentiment score (Securities Report sentiment score) / FS forecast score (Financial Statement forecast score) / Fundamental score / Total scoreCredit score / Accrual score / Rating change score

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.

Summary This dataset provides large shareholding reports in immediate news format that were distributed to EDINET, an electronic disclosure system managed by the Financial Services Agency of Japan. Key Features Increases or decreases in shareholding ratios of large investors, such as institutional investors in Japan and abroad, affect stock prices as a fluctuating factor. Data items (example) In news format ・News body Structured data items as news tags: ・Submitter ・Shareholding ratio (%) ・Number of shares held ・Purpose of shareholding, etc., as news tags. What are large shareholding reports? Large shareholding reports are mandatory reports that shall be submitted and disclosed by shareholders who have acquired 5% or more of the outstanding shares of a listed company in Japan. If the shareholding ratio of a listed company exceeds 5%, a large shareholding report must be submitted to the regulatory authority within five business days from the date the ratio exceeds 5%. This system is called the “5% Rule."

Summary QUICK ESG Data contains a wide range of quantitative and qualitative information on environmental, social, and governance issues based on materials disclosed by companies, such as integrated reports, sustainability reports, and ESG-related materials in Japan. Key Features ・Comprehensive: Information on all listed companies in Japan, not just the index constituents, is included, allowing for comprehensive data analysis. ・Trustworthy: Data is aggregated by Nikkei, largest business media, and QUICK, leading financial information provider in Japan. Data items (example) Nikkei ESG Data: Major ESG indicators and text information ・Greenhouse gas (GHG) emissions ・Gender ratio of executives QUICK Proprietary ESG Data: Additional items not included in the Nikkei ESG Data ・Air pollution (NOx, SOx) ・Return-to-work rates after maternity or parental leave

Description This data service provides financial data of all Japanese banks including holdings companies, in addition to shinkin banks (credit union). The data sources are financial statements, annual reports and bank-specific disclosure publications. The data includes approx 4000 items, covering general financial statements items as well as detailed items published only in disclosure publications. The data will update on the day of disclosure or within around one week.