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.

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.

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).

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.

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.