Clearer Decisions through Quantitative Guidance

The data collection, analytics and report production modules behind our daily market reports, offered as technology for your business.

New reports every trading day before the open and after the close (KST).

Latest market report Plays the newest report video of the QGKR YouTube channel

01Mission

Quant Guidance Korea aims to support quantitative decision-making through fair asset valuation.

We collect market data and company filings, refine and combine them, and derive transparent, quantitative valuation results.

We deliver QGKR's technology through on-demand reports and data services, and through building client-owned systems and solution development.

02Expertise

We have technology applicable to all markets, including Korea, the US and crypto assets. Used alone or in combination, its parts provide quantitative data analysis in one pipeline from data collection to report publication.

Data collection

Collection adapters cover more than 30 data sources in Korea, the US and international markets. Every source is either available through publicly authorized access, such as official open APIs and public disclosure systems, or an individually paid data source.

Exhibit 1. Data source categories
CategoryMarkets
Exchange listings, prices and indices, including crypto assetsKorea, US, international
Corporate disclosures and financial statementsKorea, US
Central bank, government and international statisticsKorea, US, international
Bonds, interest rates and credit ratingsKorea, US, international
Trade and industry dataKorea, international
Brokerage and crypto exchange interfacesKorean providers

Scope: code inventory of the collection adapters, 2026-10-19.

Financial statements, Korea and US

Both reporting systems are read in their own statement models. Korean filings from DART: K-IFRS statements, consolidated and separate, for annual, half-year and quarterly reports. US filings to the SEC in XBRL: forms 10-K, 10-Q, 20-F and 40-F under US GAAP and IFRS, with the taxonomy element of each fact resolved and foreign-currency statements converted to USD.

Database platform

A MariaDB database holds the collected data together with much of the processing logic: stored procedures and functions, triggers and scheduled events run the processing inside the database.

Analytics inside the database

Native C and C++ functions loaded into the database compute next to the data: technical indicators and candlestick patterns, rolling statistics and rankings, trend and signal detection, option pricing (Black-Scholes), beta, portfolio evaluation, value at risk with GARCH, and regression-based prediction.

Machine learning

For data analysis in the form you need, twelve binary classification model types are available: logistic regression, naive Bayes, k-nearest neighbors, support vector machine, random forest, AdaBoost, XGBoost, LightGBM, CatBoost and recurrent neural networks (LSTM, GRU), and others such as NGBoost and TabNet where needed, with hyperparameter optimization and GPU acceleration.

Due to the nature of machine learning, it can be applied only where sufficient data is available.

Multimedia report production

Media modules turn analysis data into finished report videos: scene layouts from our own layout editor, charts (line, pie, radar, treemap, tornado), text with translation, speech synthesis, background music, generated images, and video assembly with transitions in parallel processes.

Each report is produced as a long-form landscape and a short-form vertical video and published on a schedule to ten channels, including YouTube and TikTok. Besides video, reports are provided in various formats such as PDF, Excel (XLS), CSV, text (TXT) and HTML.

Trading automation

A multi-process order and portfolio rebalancing system connects to brokerage and crypto exchange interfaces, designed with risk analysis and possible failures considered in advance.

Exhibit 2. Platform overview
AreaFigure
Target markets3, expandable
Data sources30+
Rows in the databaseabout 640 million
Database size216 GB
Machine learning model types available12
Publishing channels10

Scope: database metadata and code inventory, 2026-10-19.

03Market Reports (Public Access)

Every trading day we publish the Korean market's pre-market indicators and closing summary on YouTube as long-form landscape and short-form vertical videos. A quarterly market analysis follows every quarter, and special analysis reports on individual stocks are published when needed.

We compile and provide market reports and analysis data through the QGKR engine.

Exhibit 3. Publication schedule
ReportWhenFormatWatch
Pre-market indicatorsEvery trading day, about 08:15 KSTLong-form landscape and short-form vertical videoChannel
Closing summaryEvery trading day, about 15:50 KSTLong-form landscape and short-form vertical videoPlaylist
Quarterly market analysisEvery quarter (latest: 2026 Q3)Long-form landscape and short-form vertical videoPlaylist
Basics: Underneath the South Korea stock marketLecture seriesEnglish and KoreanEN / KO

04Services

Two kinds of engagement: report and data services on our data flow, and solution development for your own systems.

Report and data services

One data flow, four ways to deliver it.

  1. Collecting
  2. Processing
  3. Combining
  4. Evaluation
  5. Utilization
  6. Delivery
Exhibit 4. Frameworks and outputs
FrameworkWhat changes per customerOutput
Fin-Tech Data ProcessingStandard flowMedia reports
Refined Data ServiceProcessing, combining and evaluation customizedReport (CSV)
Tailored Data ServiceReport content tailoredReport (CSV) by e-mail
PaaS Infrastructure DesignDedicated flow per customer on AWS cloud, with passive and active collectorsAPI and reports

Source: QGKR Service Frameworks brochure, release 2024-02-15. Download brochure (PDF)

Solution development

Solution development builds our modules into a client's own system. Scope, schedule and delivery are agreed per project.

Exhibit 5. Solution development scope
ModuleWhat is built
Data collectionAdapters for the client's data sources, publicly accessible or licensed
DatabaseDatabase design, stored procedures and in-database analytics functions
Analytics and machine learningIndicators, models and their evaluation for the client's use case
Reports and mediaAutomated reports, charts and videos, and their publishing
Trading automationOrder and portfolio rebalancing systems on the client's brokerage interfaces
InfrastructureDeployment on cloud infrastructure

05Pricing

Flexible pricing models tailored to your quantitative analysis needs.

Exhibit 6. Engagement models
ServiceBillingIncludes
Tailored Analysis ReportWeekly, monthly or quarterlyQuantitative company analysis research. The client provides the required material.
Solution DevelopmentMonthlyDigital transformation. Solution design and implementation. Scope negotiable.

06Contact

Need a consultation? Get in touch today.

Location

HQ: South Korea

Message

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