- Static algorithm selection limits adaptability.
- Traders lack data to optimize algo choice.
- Manual switching creates inconsistency and bias.
- No unified feedback system between algos and outcomes.
Algocor’s Algo Wheel dynamically routes orders across algorithmic strategies based on historical performance and market conditions.
The Algo Wheel intelligently rotates algorithmic strategies using historical TCA metrics and live conditions—creating a self-optimizing execution loop. It identifies which algo performs best under specific liquidity, volatility, and timing profiles.
Each order request passes through the Wheel, which references recent TCA analytics and venue conditions to assign the best-fit execution algorithm. Post-trade data feeds back into the scoring model to refine future rotations.