With increased focus on the volatile intraday markets where results are based on your ability to act quickly to achieve the best price, you need the power and speed of our algorithmic automation tools to handle your trade on Nord Pool or EPEX Spot every day.
"We offer you and your trading team the most intuitive and user-friendly dashboard for creating and testing your strategies, monitoring your trades in live mode, and taking control when necessary," says product owner at Powel, Semih İlbars.
Algorithmic trading platform
Powel offers a complete algorithmic trading platform that enables rapid design, testing with historic market data, deployment and refinement of automated strategies, which leverage your unique trading techniques and complex algorithms. We provide our customers the best operational environment for the traders and support them to create the best intraday trading strategies.
"As our intraday trading tools connect directly to the markets, you can implement your strategy in Live Mode immediately and monitor your portfolio in realtime. This give you the control and decision support you need for the best results with super user-friendly user interface to keep control and to interact fast," says İlbars.
Powel Algo Trader (PAT) also offers pre-defined strategies that traders can modify or use just as it is covering position closing, marketing flexibilities and utilising batteries.
Unlike other algorithmic trading platforms, we have taken a white box approach to create a robust, open-source architecture, allowing customisation for customer-specific strategies.
"Our solutions offer both standard algorithms for trading strategies and the flexibility to build and test new market strategies in Python with the help of our dedicated microframework for easy coding", says İlbars.
High competence for asset backed traders with flexible assets like hydro, thermal or batteries, based on our market leading asset optimisation software and our optimisation competences. Furthermore, Powel Algo Trader (PAT) allows you to test quantitative trading strategies against the historical market data. The solution also takes into account market restrictions like Order-To-Trade ratio (OTR).