Commodities Forecasting using Quantum ML

Empowering Commodities Trading with Predictive Analytics and Expert Insights

About the service

Navigate Market Complexities with QDT's Advanced Forecasting and Customizable Analytics Platform

  • Comprehensive Analytics Suite

Offers a robust platform for commodities trading and procurement, featuring user-driven model development and access to QDT's expertly crafted predictive models for advanced market analysis.

  • Tailored Consulting Services

Provides specialized consulting to help users integrate the platform into their workflows, with deep dive analytics and driver analysis to uncover market dynamics and refine trading strategies.

  • Enhanced Forecasting Accuracy

Includes sophisticated back-testing capabilities for reliable strategy testing and continuous improvement, supported by accurate market forecasts to maximize profitability and minimize risk.

  • User-Centric Design

Features an elegant, customizable user interface with interactive data visualization and seamless model integration, making complex data analysis accessible to users of all technical levels.

Overview of Methodology

Model Customization and Expert Solutions

  • User-Driven Model Development

QML empowers users with the tools to build their own machine learning models, enabling customized solutions tailored to specific trading strategies and market analyses.

  • Access to QDT’s Expert Models

For those seeking ready-made solutions, QML offers a suite of expert models developed by QDT’s team of data scientists and financial analysts, ensuring users benefit from the most advanced analytics without the need for in-depth technical knowledge.

Consulting Services

  • Tailored Strategy Development

QDT’s consulting services are designed to help users integrate QML into their existing workflows, assisting in the development of tailored strategies that align with organizational goals and market positioning.

  • Deep Dive Analytics and Driver Analysis

Our experts provide in-depth analytics services, including driver analysis, to uncover the underlying factors influencing market movements, offering strategic insights that drive informed decision-making.

Enhanced Driver Analysis Capabilities

QML sets itself apart with sophisticated driver analysis features, enabling users to

  • Uncover Market Dynamics

Identify and understand the key factors influencing commodity prices and market trends, enhancing strategy development with data-driven insights.

  • Refine Predictive Models

Leverage findings from driver analysis to fine-tune predictive models, ensuring they accurately reflect market realities.

Accurate Forecasts Backtested with Trading Strategies

  • Reliable Strategy Testing

QML’s back-testing capabilities allow users to rigorously test their trading strategies against historical data, providing a reliable measure of potential future performance.

  • Continuous Strategy Improvement

Utilize back-tested results to iteratively refine and optimize trading strategies, capitalizing on the platform’s accurate forecasts to maximize profitability and reduce risk.

Elegant and Customizable UI

The solution features an elegant and intuitive user interface (UI) that simplifies complex data analysis and model building. Key highlights include:

  • Customizable Dashboards

Tailor your analytics dashboard to display the most relevant data points, charts, and model outputs, aligning with your strategic focus areas.

  • Interactive Data Visualization

Engage with your data like never before through interactive charts, graphs, and maps that provide deep insights at a glance.

  • Seamless Model Integration

Easily integrate custom or QDT expert models into your workflow, with tools designed for straightforward application and analysis of forecasting results.

  • User-Friendly Design

Regardless of your technical expertise, our UI is designed to be accessible and navigable, ensuring you can focus on strategic decision-making rather than navigating complexity.

Case Study: Coking Coal and Steel price Forecast for a Leading Steel Manufacturer

  • Objectives

    • Forecast commodity prices using market drivers to optimize purchase decisions
    • Optimally allocate buying between spot contracts and long-term contracts
  • $42M (9%)

    Savings on procurement costs attributed to machine learning forecasts.

  • Competitive Advantage

    Armed with advanced analytics on drivers, customer  gained a competitive edge, allowing for better forecasting and strategic planning and negotiations with key suppliers.

  • Efficiency

    Machine learning driven insights made the commodity buyers more efficient by being able to negotiate and close more contracts at better prices.

Additional Services