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In an increasingly crowded market, traders need comprehensive, integrated backtesting capabilities to ensure their algorithms stay ahead of the competition. Jorin Daleanes, Sales and Account Manager, RTD Tango and Backtester, and Steffen Gemuenden, Co CEO, RTS Realtime Systems Group, lay out the key principles.

Backtesting: Best practice principles for beating the market



Left photo: Jorin Daleanes, Sales and Account Manager, RTD Tango and Backtester, RTS Realtime Systems Group. Right photo: Steffen Gemuenden, Co CEO, RTS Realtime Systems Group

More than 15 years after the migration from open outcry to screen-based trading began, the evolution required to further optimise automated and algorithmic trading solutions is challenging the financial landscape. Algorithmic/automated trading capabilities have gained significance in the equity markets and beyond, and are recognised as a major factor in increasing trader productivity.

Once a territory reserved for larger institutions, algorithmic/automated trading has entered the mainstream. Today, the focus is firmly on time to market, i.e. the speed with which ‘market ideas’ and trading strategies can be backtested and implemented.

“The focus is firmly on time to market - the speed with which ‘market ideas’ and trading strategies can be backtested and implemented.”

Traditional automated trading tools are now well established in the market, with brokers commonly providing their clients with a ‘managed transaction’. A common example would be a participation algorithm that breaks the client’s order into smaller chunks to get the best possible execution price (i.e. by minimising market impact). Key to this service is the ability of brokers to design algorithms that give them an edge over competitors and thus win the client’s execution business. ...

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