Investor Sentiment Index is a proprietary index utilizing questionnaire data collected by QUICK Monthly Surveys (Equity). The index is calculated based on the stance of funds’ domestic stocks allocation ratios answered by domestic institutional investors (fund managers).
The index value ranges between 0 and 100, and above 50 indicates that domestic institutional investors are “Bullish” in their investment stance, while below 50 indicates that they are “Bearish”.

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).

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 2000 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.

QUICK sets original themes and creates a list of related investment trust by each that. In addition to currency and country classifications, theme set by seasonal topics such as "Post COVID-19". For qualitatively analyzing the factors fluctuation of NAV per share in each themed investment trust, that can be checked with the relevant news and together with all constituents, leading to more precise analysis.

This data service provides constituents in investment trusts that extracted from their annual reports using language analysis technology. Constituents stock data contains unit price, the number of shares, face value and other precise information. It is possible to confirm the changes in these data since the previous settlement date.

QUICK Consensus DI is a proprietary macro indicator that shows the direction of analysts’ earnings forecasts. The changes in analysts' forecasts are processed into a diffusion index (DI) for better understanding.
The DI calculates by subtracting the ratio of “Bearish” from “Bullish” to total stocks. A positive DI means that the number of upward revision stocks exceeds downward revisions. QUICK classifies stocks as “Bullish” in the case of analysts revise their consolidated net income forecasts upward by 3% or more compared three months ago, while as “Bearish” in the case of downward. The stocks are for the forecasts of at least five analysts.
QUICK Consensus DI indicates whether the market-wide expectations for the performance of major companies are upward or downward. QUICK also provides industry sector-specific DI and cumulative DI to help you follow trends.

QUICK converts the complimentary gifts for shareholders into their respective monetary values based on the following criteria. Discount coupons for which the upper limit has not been set, and not-for-sale articles such as calendars and original goods are not included.
・The face value of the gifts such as QUO cards, gift certificates, and book coupons
・The maximum amount of the discount coupons for which an upper limit has been set, and the fixed price of the complimentary gifts
・An amount indicated as "Equivalent to JPYxx"
・An amount committed by the company as an answer to a query
・In the case of rice for the gift, the "Rice coupon" amount based on the weight of the rice
・In the case of multiple gift items, the total amount of those items that can be monetized
・If it is possible to select the complimentary gifts, then the lowest amount

QUICK generates original historical data on share buybacks collected from corporate disclosure information.
That data is maintained in a manner that clients will find convenient to process.
Share buybacks data includes the date of board resolution, the date of announcement and commencement, the number of shares bought, the total amount of shares bought and the method of buyback. These data can be used to monitor the progress and understand the seasonality of share buybacks.

This data service provides the following extracted data from text comments in “Financial Statements” and “Revisions to Financial Forecasts” published on TDnet (Timely Disclosure network).
・The number of positive / negative per section*
・Key word per section*
(* The section is classified into three categories; Overview, Business segment and Outlook.)
・Assumed exchange rates for the yen, dollar and euro
・Prices of crude oil, fuel oil, naphtha, gold, copper, zinc / lead and nickel
・"Important matters on going concern assumption" or "Notes on going concern assumption" is stated or not.