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/

Summary Delivers stock ratings (e.g., Buy / Sell / Neutral) and target prices from a broad range of brokers and research institutes. Key Features ・Specialization in Japanese-listed companies ・Wide coverage of brokers and research institutes ・Timely updates following broker announcements Data Items (Partial List) ・Ticker ・Update time and date ・Brokers' name ・Analyst rating (current / previous) ・Target price (current / previous) *Please note that the data format differs between sample data (production data) and historical data, as historical data had been accumulated before production data was released.

Description This dataset offers the shareholder benefits update by analyzing the information disclosed on TDnet. According to the title of the documents, we classify 4 categories; Adoption, Change, Suspension, Other.

Description This file service includes the following items; Exchange code, Collection on the same day classification, Buying at the market forbidden classification, Buying at broker’s own account forbidden classification, Proprietary trading forbidden classification, Daily price limit classification, Base price for daily priced limit/Upper limit/Lower limit, Disclosure issue classification, Liquidation / supervision post classification, Assignment schedule classification, Assignment scheduled date, Daily disclosure / stock under restriction / stock under observance, Loans for margin transaction restriction classification, Selling short classification (restriction of stock loan applications), Physical settlement classification (restriction of stock loan applications), Effective date/notification date of restriction of loans for margin transaction, Margin requirement ratio change classification, Margin requirement ratio, Margin requirement-to-cash ratio, Margin requirement ratio change effective date, Buying on margin and selling shorts forbidden etc.

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 This file service includes the following items; New listing, Delisting, Name change, Change in number of trading unit, Additional Assignment to Loan Transaction Stocks, Exception from Loan Transaction Stocks, Additional Assignment to Standardized Margin Transaction Stocks, Exception from Standardized Margin Transaction Stocks, Assignment to Securities under Supervision, Lifted Assignment to Securities under Supervision, Assignment to Securities to be Delisted, Lifted Assignment to Securities to be Delisted, delisting postponement period etc.

Description This dataset offers the shareholder benefits update by analyzing the information disclosed on TDnet. According to the title of the documents, we classify 4 categories; Adoption, Change, Suspension, Other.

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." Case Study Based on Share Buybacks data and financial condition, we evaluated the predictability of future share buybacks. The study found that buybacks can be predicted with a high degree of accuracy and that the predictions can be used for investment strategies. For details: Evaluating Predictability of Share Buybacks

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 This file service includes the following items; Exchange code, Collection on the same day classification, Buying at the market forbidden classification, Buying at broker’s own account forbidden classification, Proprietary trading forbidden classification, Daily price limit classification, Base price for daily priced limit/Upper limit/Lower limit, Disclosure issue classification, Liquidation / supervision post classification, Assignment schedule classification, Assignment scheduled date, Daily disclosure / stock under restriction / stock under observance, Loans for margin transaction restriction classification, Selling short classification (restriction of stock loan applications), Physical settlement classification (restriction of stock loan applications), Effective date/notification date of restriction of loans for margin transaction, Margin requirement ratio change classification, Margin requirement ratio, Margin requirement-to-cash ratio, Margin requirement ratio change effective date, Buying on margin and selling shorts forbidden etc.

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.

Description This file service includes the following items; New listing, Delisting, Name change, Change in number of trading unit, Additional Assignment to Loan Transaction Stocks, Exception from Loan Transaction Stocks, Additional Assignment to Standardized Margin Transaction Stocks, Exception from Standardized Margin Transaction Stocks, Assignment to Securities under Supervision, Lifted Assignment to Securities under Supervision, Assignment to Securities to be Delisted, Lifted Assignment to Securities to be Delisted, delisting postponement period etc.