Data Analytics supports traders with a suite of sophisticated tools and features purpose-built for the energy markets.
Use Data Analytics to generate insights, spot trends, risks and opportunities to enhance your trading decisions.
Develop powerful models and algorithms using the new Data Analytics API.
With Data Analytics, data from all venues connected to your Joule Direct company is normalised and stored securely along with your own trade and order information. This data is accessible via Joule Analytics, the Analytics API and the Market Abuse Regulation (MAR) file.
Access a suite of analytics tools seamlessly integrated within Joule to help traders and analysts validate market opportunities and strategies.
Seamlessly integrated within Joule, a powerful suite of analytics tools helps traders detect market trends and generate actionable insights.
With Joule Analytics you gain access to the following features from the Joule screen:
A quick and powerful tool for integrating historic data queries from Data Analytics into your own models, algorithms and strategies.
Specifically designed to be platform and language agnostic – this REST based API can be implemented within python (and a number of other programming languages) with just a few lines of code reducing time and cost when compared to implementing a bespoke data warehouse solution.
Data Analytics allows you to programmatically access data at different levels of complexity providing an effective mechanism for developing models and trading algorithms.
Use Joule Analytics advanced trades query to retrieve trades for a specified time range. Look back beyond the default window provided by Joule. Export as a CSV file and use it to build models in Excel or other applications. From this point, begin to develop a simple model or test a hypothesis for a trading strategy.
Use the Analytics API (with easy support for common data-friendly programming languages such as Python) to take your model or algo to the next step. Programmatically query for aggregated data such as OHLCV and best bid/ask prices using Python, and use the results to develop inhouse models or algos.
Once implemented, use Data Analytics to source trade and order data and evaluate model efficiency and performance.
The Analytics API will provide the following functionality, with further enhancements planned in the future:
Feel free to book a demo session with one of our product specialists.
- Data Analytics is an Analytics tool available to our Joule customers.
- Use of the Data Analytics product is subject to contract & relevant permissions.