We classify high-frequency traders based on reaction speeds, buy-side institutions based on inventory and use of (off-exchange arranged) dealer-crosses, and retail traders based on the usage of seek-dark-liquidity orders. Based on similarities in trading characteristics, we group HFT IDs with a cluster analysis. We identify (voluntary) market-makers based on the extent to which the buy and sell volume of their passive order submissions is balanced.
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