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Risk can be organized into multiple books, each with their own positions and hedging rules. You can configure rules in real-time using smart order routing for optimizing execution and profitability.
Candidate algorithms can be tested on historical data to allow traders to better evaluate how a strategy will perform, using real data for accurate scenarios. Transaction costs, slippage assumptions and market shocks can be applied in order to evaluate algorithm performance under realistic and varying market conditions.