EPAM
Deltix

QuantOfficeEnergy

Advanced systematic trading solutions for energy markets

Use QuantOffice Energy for:

Gas Market Trading
Energy Product Trading
Trading and Decision Support for Power and Oil

Enhancing Gas Market Trading with the Quant Office Energy Suite

Background

 
A large producer, trader, transporter, and supplier of gas sought to improve their trading effectiveness by leveraging Deltix solutions for strategy development, market making, and risk management.
 
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Challenges

 
Deltix identified that the client had the following needs:
 
  • A way to efficiently consolidate and analyze large historic datasets (e.g., level 2 price data).
  • Tools to optimize strategy development and back testing.
  • Real-time execution for market making, trading on OTC/other markets, and hedging FX exposures.

 

Solutions

 
Deltix provided QuantOffice Energy, a comprehensive suite of tools to address the client’s business and technical requirements:
 
  • TimeBase: Consolidated historic and real-time data from unstructured and structured sources.
  • QuantOffice: Enabled Python and proprietary strategy development, back testing, and optimization.
  • ExecutionServer: Facilitated deployment of strategies for market-making, trading, and hedging.
  • Real-Time Aggregator: Streamed live data directly into strategies for paper and live trading and to TimeBase to increment the historic data set for further research.

 

Results

 
  • Unified historic and live datasets allowed efficient strategy development and refinement.
  • Improved real-time execution for gas trading, market making, and FX hedging.
  • Increased trading effectiveness directly on Trayport and other energy markets.
  • The team using QuantOffice Energy became a key source of positive P&L within the firm.

Optimizing Energy Product Trading with the Quant Office Energy Suite

Background

 
A large electrical generator trading power, oil, and other energy products across diverse markets sought to leverage Deltix solutions for strategy development and desk alerting.
 
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Challenges

 
Deltix identified that the client had the following needs:
 
  • Tools to analyze extensive historic datasets including price data, weather, storage capacity, pipeline and power generation news and events, shipping info, and macroeconomic calendars.
  • Real-time integration of internal data streams into trading workflows.
  • Systems to provide actionable alerts to traders for manual execution.

 

Solutions

 
Deltix implemented its full QuantOffice Energy technology stack to meet the firm’s trading and strategy needs:
 
  • TimeBase: Loaded historic data from internal databases and streamed live data.
  • QuantOffice: Developed, back tested, and optimized trading strategies for energy products.
  • ExecutionServer: Deployed strategies for generating real-time market alerts.
  • Real-Time Aggregator: Enabled live data streaming from internal messaging buses to strategies and to TimeBase to increment the historic data set for further research.

Results

 
  • Centralized datasets streamlined strategy development for trading power, oil, and other energy asset classes.
  • Delivered timely alerts to traders for multiple energy product types.
  • Enhanced efficiency of manual trade entries based on data-driven strategy insights.

Advanced Trading and Decision Support for Power and Oil with Quant Office Energy

Background

 
A large electrical generator trading power and oil products sought to adopt Deltix solutions for real-time trading, strategic decision-making, and long-term opportunity identification.
 
power-andoil.png

 

Challenges

 
Deltix identified that the client had the following needs:
 
  • Data integration for price levels, weather, and relevant news across multiple sources.
  • Tools to execute trading strategies for oil and energy products across multiple platforms.
  • Actionable insights and alerts to support high-level decision-making.

 

Solutions

Deltix implemented its full QuantOffice Energy technology stack to meet the firm’s trading and strategy needs:
 
  • TimeBase: Consolidated historic and live datasets from diverse data streams.
  • QuantOffice: Enabled strategy development, back testing, and optimization.
  • ExecutionServer: Deployed strategies for trading oil via CQG and generating executive-level alerts.
  • Real-Time Aggregator: Streamed live data to enable continuous strategy updates and to TimeBase to increment the historic data set for further research.
  • Decision Support: Sent alerts for spread opportunities, calculations, and news links to management.

 

Results

 
  • Delivered actionable insights to the management team, leading to high-value trading decisions.
  • Streamlined real-time oil trading workflows through CQG integration.
  • Improved long-term trading strategy execution and board-level decision efficiency.