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 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 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 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 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.

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."

Description I Know First is a fintech company that provides state of the art self-learning, AI based algorithmic forecasting solutions for the capital markets to uncover the best investment opportunities. The company provides daily investment forecasts based on an advanced, self-learning algorithm. The AI Algorithm was developed by Dr. Lipa Roitman, a scientist with over 20 years of research and experience in artificial intelligence (AI) and machine learning (ML) fields. The concept of the current algorithm has crystallized following years of prior research into the nature of chaotic systems. The underlying technology of the algorithm is based on artificial intelligence and machine learning, and incorporates elements of artificial neural networks and genetic algorithms through which we analyze, modelize, and predict the stock market. The algorithm is adaptable, scalable, and features a Decision Support System (DSS) to optimize the information produced by the years of data inputted. The algorithm generates daily market predictions for stocks, commodities, ETF’s, interest rates, currencies, and world indices for the short, medium and long-term time horizons. The I Know First algorithm is designed for large financial institutions, banks, and hedge funds in the capital market as well as private investors looking for an advanced algorithmic support system. The algorithm is currently tracking and predicting a growing universe of over 10,000 financial assets. The I Know First team is focused on providing comprehensive algorithmic solutions to its investors. Employees in each of our R&D, Operations, Analytics, and Marketing departments are dedicated to providing the best products and support to our clients, while maintaining the highest level of ethical conduct and transparency.