Quantum Data Lake

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The Data Foundation

Quantum Data Lake is a highly sophisticated, multi-layered, distributed data lake, and foundational component that supports and empowers the broader QDT platform, analytics, and forecasting across a range of industries and applications.
Vast repository: Over 150,000 organized data sources.
Secure and compliant: Ensures data protection and privacy.
Curated and Categorized: Hierarchical organization for easy navigation.
Plug-and-play API: Seamless integration with Quantum ML and other third party applications.

Diversity and Depth of Data

Quantum Data houses an expansive collection of 150,000 data sources from various providers, meticulously structured, categorized, encrypted, and pre-processed for diverse use cases. This vast repository ensures that users across industries—be it finance, consumer goods, military intelligence, or others—have access to relevant, ready-to-deploy data for their needs.
* See Licensing Terms and Conditions

01 / Financial Markets

Financial markets data includes stock prices, bond yields, commodity futures, currency exchange rates, and derivatives pricing. It also covers trade volumes, order book details, and sector-specific indices. These datasets provide critical insights into market dynamics, enabling forecasting, portfolio optimization, and data-driven decision-making in the financial industry.

02 / Macroeconomic Data and Indicators

Macroeconomic data includes interest rates, inflation measures like CPI and PPI, GDP growth figures, and unemployment rates. It also covers trade balances, government debt levels, and consumer confidence indices. These indicators provide valuable insights into economic trends, supporting forecasting, policy analysis, and strategic decision-making across industries.

03 / News and Sentiment

News data includes real-time headlines, articles, and sentiment analysis from global media sources. It captures market-moving events, geopolitical developments, and corporate announcements. Sentiment data evaluates tone and context, offering actionable insights for forecasting, risk management, and strategic decision-making in dynamic market environments.

04 / Shipping and Global Movements

Shipping and global movements data includes cargo volumes, trade routes, port activity, and freight rates. It tracks supply chain flows and global trade dynamics, providing insights into market trends, economic health, and the impacts of geopolitical or environmental disruptions.

05 / Global Trade Database

A global trade database captures import/export volumes, trade balances, tariff data, and commodity flows across countries. It provides critical insights into international trade dynamics, economic relationships, and market trends, supporting strategic decisions and policy analysis.

06 / Weather and Climate

Global weather and climate data include temperature patterns, precipitation levels, extreme weather events, and long-term climate trends. This data impacts agriculture, energy, and commodities markets, providing crucial insights for forecasting, risk assessment, and strategic planning in weather-sensitive industries.

Use Cases

Trader/Investor

Equities & Indices
Interest Rates
Currencies
Company Reporting

Commodities Buyer/Seller

Commodities Prices
Weather
Shipping
Imports & Exports

Government Researcher

Trade Data
Macroeconomic Indicators
Terrorist Index
Economic Reporting

FAQs

01.
Who is QDT?
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What makes QDT's QML platform unique?
03.
How does QDT support marketing analytics?
04.
Can QDT's solutions be applied to supply chain management?
05.
How does QDT assist in commodities forecasting and analytics?
06.
What is the Data Mine Machine Learning Service in partnership with CME?
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How does QDT's technology support its solutions?
08.
What industries can benefit from QDT's solutions?
01.
What is Quantum ML?
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Why Quantum ML?
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Who can use Quantum ML?
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What can I use Quantum ML for?
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What is Automated Machine Learning?
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Why does Automated Machine Learning matter to me or my organization?
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How does Quantum ML work?
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What targets can Quantum ML forecast?
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How is Quantum ML hosted?
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How far into the future can Quantum ML forecast?
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Can I use my own data?
01.
What is QDT's Advanced Trade Analytics Platform?
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How does QDT ensure comprehensive data integration in its trade analytics?
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What unique features does the Advanced Trade Analytics Platform offer?
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How can organizations benefit from QDT's trade analytics solutions?
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Who can benefit from using QDT's Trade Analytics Platform?
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How does QDT's solution accommodate the analysis of global trade flows?
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What kind of support does QDT offer to users of its Trade Analytics Platform?
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Can the Trade Analytics Platform be customized to fit specific organizational needs?
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How does the platform handle data security and privacy?
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How can companies get started with utilizing QDT's Advanced Trade Analytics Platform?
01.
What makes QDT's commodities forecasting solutions unique?
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How does QDT ensure the accuracy of its commodities forecasts?
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Can users create their own predictive models for commodities forecasting on QDT's platform?
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What types of data does QDT use for commodities forecasting?
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How do QDT's solutions accommodate changes in market dynamics or unforeseen events?
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What consulting services does QDT offer to support commodities forecasting?
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How do QDT's forecasting solutions handle different commodities markets?
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How can businesses benefit from QDT's commodities forecasting solutions?
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Are QDT's commodities forecasting solutions suitable for both traders and analysts?
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How can companies get started with QDT's commodities forecasting solutions?
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What is QDT's approach to supply chain solutions?
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How does the Predictive Supplier Insights (PSI) platform work?
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What types of risks can QDT's PSI platform identify and mitigate?
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Can QDT's supply chain solutions be integrated with existing systems?
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How do businesses benefit from using QDT's supply chain solutions?
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What industries are best suited for QDT's supply chain solutions?
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How does QDT ensure the accuracy of its predictive analytics in supply chain management?
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What support and training does QDT offer for its supply chain solutions?
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How does QDT's PSI platform handle data privacy and security?
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How can companies get started with QDT's supply chain solutions?
01.
What is DataMine Machine Learning Service? 
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Why do I need DataMine Machine Learning Service?
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What is Automated Machine Learning?
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How does DataMine Machine Learning Service work?
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How is DataMine Machine Learning Service hosted?
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Who can use DataMine Machine Learning Service?
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Is DataMine Machine Learning Service also helpful for data scientists and other more advanced users?
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How much does DataMine Machine Learning Service cost?
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Can I get trial access to the DataMine Machine Learning Service?
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How many users can DataMine Machine Learning Service support?
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What financial instruments can DataMine Machine Learning Service build models for?
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How far into the future can DataMine Machine Learning Service predict?
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How often are the models updated?
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How many models can I build using the DataMine Machine Learning Service?
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How is model performance measured?
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How many machine learning algorithms does DataMine Machine Learning Service use?
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What is the Markets Page?
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What is the Forecast Page?
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What is the Strategy Simulator Page? 
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What is the Data Explorer Page? 
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Is the input data included in the license cost?
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What data is available through The Machine Learning Service?
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How are the CME Group Rolling Futures Indices calculated? 
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What frequency of data can/do the models use? 
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Can I use my own data?
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Can I build my own models?
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How are models trained?
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How are the models backtested?
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How do I assess model performance?
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Are my models saved?
01.
How does QDT ensure data quality and relevance in its QML platform?
02.
What is the Quantum Superforecasting (QSF) model, and how does it enhance Media Mix Modeling (MMM)?
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Can QDT's solutions handle large-scale data analysis and forecasting?
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What methodologies does QDT employ for predictive analytics and machine learning?
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How does QDT's Automated Machine Learning Engine (Quantum ML) streamline the model-building process?
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What support does QDT offer for custom model development?
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How does QDT's UI/UX Platform Architecture enhance the user experience?
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What security measures does QDT implement to protect data and user privacy?
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How does QDT's solution adapt to evolving market conditions or new data?
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How can businesses start utilizing QDT's machine learning and analytics solutions?