Pioneering algorithmic power trading.
Unleash your
algo trading potential.
Configure powerful out-of-the box algorithms with ease
Take advantage of Python implementation to extend Parent Class
Simulate slippage for any market scenario
Utilise advanced BI capabilities for granular analysis of results
Seamlessly switch to paper trading for real-time P&L analysis – without any code change
Enjoy robust, configurable computational capacity via the cloud - without compromising security
Show full transparency of algorithms and execution methods for compliance
FAQs
Most algorithmic software solutions currently in the market, which claim to be algorithms, are actually frameworks based on "if-this-then-that" decision-making. Bots created using these frameworks often lack awareness of broader market movements. They chase bids and offers within immediate market conditions and often ignore fundamental factors such as weather or overall market trends. As a result, we see an increasing number of trades that deviate significantly from the average traded price.
At Brady, we've developed a proven toolkit for creating trading algorithms. Our customer organisations employ a scientific approach, using our toolkit not only to aim for profitability but also to focus on risk management. Variance, outliers, and initial position assumptions are all considered in a comprehensive back-testing framework before any algorithms are introduced to the market. Our goal is to package these algorithms into production-ready "bots" that behave reliably and are ready to prove their worth in the market.
The standout feature of PowerDesk Edge is its ability to be configured to understand daily market behaviour and consider external factors like weather in its decision-making.
PowerDesk Edge is designed for all skill levels in Python. For traders new to algorithmic trading, it provides powerful pre-written algorithm templates, requiring no Python knowledge. Those improving their Python skills will find PowerDesk Edge enhances their ability to create even more tailored algorithms. For advanced Python users, PowerDesk Edge offers great flexibility, allowing for any level of complexity in algorithmic trading strategies.
Compliance is a top priority for us. PowerDesk Edge offers several features to address this:
- The same code can be used for back-testing, paper trading, and live trading.
- A 'kill switch' feature can be configured to stop the bot from trading, allowing traders to regain control in response to specific market events.
- PowerDesk Edge's compliance ticker offers key insights into its decision-making process. Your compliance department can access the data supporting reasons behind taking or not taking a certain trading decisions. The compliance ticker easily plugs into 3rd party software that continually monitors bots to check for market abuse. Information from PowerDesk Edge can be sent as logs or downloaded in various formats.
Yes, PowerDesk is compatible with complex trading infrastructures.
With SaaS solutions like PowerDesk, you can set up a trading desk in a matter of weeks rather than years, without the need for CAPEX-intensive, on-premise solutions. PowerDesk offers a more cost-effective alternative to a full-scale energy trading and risk management system.
PowerDesk centralises various data feeds, forecasts, price movements, and their uncertainties. It supports the optimal trading of your battery assets schedules.
Yes, PowerDesk Edge comes with an inbuilt market data store. Our R&D team has curated variables like weather and significant event data as time series. This data is incorporated into back-testing, exploratory data analysis of P&L, and is also used in decision-making within PowerDesk Edge.
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