banner

使いやすさ

権利処理がクリアにされた安心なデータを、用途に合わせて手軽に活用いただけます。

banner

信頼できる
データソース

日経グループの歴史と実績を背景に、証券導入実績212社が信頼の証です。

banner

多彩なデータと
提供方法

日経平均をはじめとする多様なデータを、APIやファイル形式で柔軟に提供します。

banner

Usability

Easily utilize data with cleared rights processing,
tailored to your specific needs.

banner

Trusted sources

Backed by the history and achievements of the Nikkei Group, the adoption by 212 securities firms is proof of trust.

banner

Data variation

From the Nikkei Stock Average to a wide range of data, we provide flexible access via API or file formats.

67 データ61 - 67 件表示 Data61 - 67 Item display

sort 並び替え Sort
sort 並び替え Sort
Data Sets
Tokyo Term Risk Free Rate (TORF)
Description Tokyo Term Risk Free Rate (TORF) is a Japanese yen short-term interest rate calculated and published by QUICK Benchmarks Inc. (QBS). TORF is one of the alternative benchmarks to replace the London Interbank Offered Rate (LIBOR), and is designated as a “Specified Financial Benchmark” stipulated by the Financial Instruments and Exchange Act. It is calculated based on the data of derivative transactions whose underlying asset is the “uncollateralized overnight call rate,” which contains almost no credit risk of financial institutions. Like other interest rate benchmarks such as LIBOR, TORF has a feature in that the rate is fixed as of the start of the interest rate calculation period. Today, it is widely used by financial institutions around the world as the base interest rate for loans with Japanese yen interest rates and derivatives transactions. For more information, please see below. https://corporate.quick.co.jp/en/torf * Use of TORF requires a license agreement with QUICK.
  • REST API

  • Macro-level

  • QUICK

Data Sets
QUICK Equity Risk Premium
Description QUICK Equity Risk Premium is a service that provides the cost of shareholder’s equity calculated by QUICK (QUICK Cost of Shareholders’ Equity), as well as various parameters necessary for calculating factor models. The QUICK Cost of Shareholders’ Equity is calculated backward from the market stock prices by combining a stock valuation model (discounted residual income model) and the factor models (the Fama-French 3-factor model, and the QUICK 4-factor model with the addition of an insolvency risk factor). This data can be used to confirm the level of shareholder’s equity costs of listed companies, calculate WACC, and evaluate whether stock prices are overvalued or undervalued.
  • REST API

  • Ticker-level

  • QUICK

Data Sets
Geolocation Data Provided by AIoT Cloud
AIoT Cloud Inc., a wholly owned subsidiary of Sharp Corporation (Sharp), supports various companies’ marketing activities by utilizing lifestyle data acquired from AIoT*1 home appliances. Geolocation information obtained through the smartphone app with users’ prior permission is statistically processed to provide data in a manner that individuals cannot be identified. Location information is obtained with the app running constantly in the background.*2 The composition of the users’ residential areas is similar to the population distribution in Japan. Statistical data can be used to forecast the performance of companies in a given area. *1 “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. *2 Except when a smartphone is turned off.
available
  • REST API

  • Ticker-level

  • Partner

Data Sets
Monthly Sales & Business Activity Data
Description Summary Various corporate performance data in addition to monthly sales Point 1. Reveal company business performance, without waiting for quarterly results 2. Different perspective from income statement 3. Cover 25 industries Data Items (Example) ・Net sales ・Same-store sales ・Number of stores ・Number of subscribers etc. Data Collection & Process Method QUICK collects these data from companies' IR websites, standardizes into a text format. Case Study Reading Future Financial Results for Food Service Industry Reading Future Earnings Revisions
  • REST API

  • Ticker-level

Data Sets
TONA Averages & TONA Index
Description TONA Averages and TONA Index are the benchmarks published by the Bank of Japan that are calculated by compounding the uncollateralized overnight call rate. TONA is one of the alternative interest rates to the Japanese Yen LIBOR. However, when used as the substitute, it must be compounded using the daily TONA. Through the use of TONA Averages and TONA Index, market participants can share the daily compounded TONA levels and reduce the burden involved in calculation and reconciliation. TONA Averages Interest rates derived from the daily compounded TONA for the period starting exactly 30 days, 90 days, and 180 days prior to the reference date of the benchmark (each business day) until the reference date TONA Index Asset valuation on the reference date assuming the asset is managed using TONA, with 100 as of June 14, 2017 (the date on which the Bank of Japan established “Uncollateralized Overnight Call Rate Code of Conduct”) *By specifying the start and end dates, the interest rate compounded by TONA for any given period can be calculated from the historical data of the TONA Index.
  • REST API

  • Macro-level

  • QUICK

Data Sets
TSE Detail Breakdown Trading Data by Issue
Description Detail Breakdown Trading Data comprises the daily trading value and volume (for regular trading sessions on the TSE market) of each TSE-listed issue, complied and fragmented into the cash transaction, margin transaction, and short selling categories. Investors enter such attribute information when placing orders, and thus, JPX Market Innovation & Research aggregates the flags and provides data on trading values and trading volumes. Generally, the outstanding margin trading volume of each issue is announced weekly except for the issues subject to daily publication. However, using Detail Breakdown Trading Data allows for estimating the daily outstanding margin trading volumes for all issues.
  • REST API

  • Macro-level

  • QUICK

Quick logo
とは

株式会社QUICKは1971年設立、日本経済新聞社グループに属 する日本を代表する金融情報サービス会社です。証券・金融 市場に関するリアルタイム情報やニュース、分析ツールを国 内外の投資家や金融機関に提供しています。独自のオルタナ ティブデータやAI技術を活用し、投資判断や資産運用の高度化 を支援しています。

創業年数
53
証券導入社数
212
銀行導入社数
148
事業会社導入社数
1000社以上
About
Quick logo

QUICK Corporation was founded in 1971 and is a leading Japanese financial information service company that is part of the Nikkei Group. The company provides real-time information, news, and analytical tools related to securities and financial markets to domestic and international investors and financial institutions. It utilizes its own alternative data and AI technology to support the sophistication of investment decisions and asset management.

53years
Years of establishment
212companies
Number of companies that have introduced securities
148banks
Number of banks using the service
Over1,000
companies
Number of companies using the service

QUICK Data Factory お問い合わせフォーム

Feel free to contact us through the form.

illustrations

想定顧客

  • 金融機関 詳細分析用に欲しいデータをExcelなどのファイル形式でDL可
  • 事業会社 さまざまな金融向けアプリケーションやデータの購入が可能
  • 投資家 QUICKのプラットフォームを通して販売も可能
  • データプロバイダー 当社サービスとの連携やデータ分析加工による高度化
illustrations

    Data Services Available Through Us

  • 金融機関

    Downloadable Formats

    Download data in formats like Excel for detailed analysis.

  • 事業会社

    Financial Tools & Datasets

    Explore and purchase a variety of financial applications and data sources.

  • 投資家

    Snowflake Integration

    Leverage a scalable cloud data platform for seamless integration and fast analysis.

  • データプロバイダー

    QUICK APIs

    Access real-time, reliable financial data to boost business agility. Free (?) trials available.

  • データプロバイダー

    Advanced Data Integration

    Maximize functionality with powerful integration options and advanced analytics capabilities.

ご関心のプロダクト名、お問い合わせの内容や背景を最下部記述欄にてお知らせください。内容を確認の上、後日担当者から連絡いたします。

Please feel free to contact us.
Items marked with ※ are required.

送信ボタンを押すことにより、QUICKのプライバシーポリシーへ同意するものといたします。

By clicking the submit button, you agree to QUICK's privacy policy.