Acoording to MIFID II (article 4, 40), high-frequency trading (HFT) or high-frequency algorithmic trading is "an algorithmic trading technique characterised by:
(a) infrastructure intended to minimise network and other types of latencies, including at least one of the following facilities for algorithmic order entry:
- co-location,
- proximity hosting, or
- high-speed direct electronic access;
(b) system-determination of order initiation, generation, routing or execution without human intervention for individual trades or orders; and
(c) high message intraday rates which constitute orders, quotes or cancellations".
Indeed, according to MIFID II, Algorithmic Trading (AT) comprises:
- High-Frequency Algorithmic Trading (HFAT);
- Other algorithmic trading - let's call it Low-Frequency Algorithmic Trading (LFAT).
It is claimed that HFT tends to benefit financial markets by leading to:
- Stronger market depth;
- Narrower bid-ask spreads;
- Smaller tick sizes.
But is is also claimed that HFT introduced new risks to financial markets:
- Complex forms of market manipulation (such as spoofing and quote stuffing);
- Disorderly trading (abrupt market moves with no fundamental reason, aka Flash Crashes);
- Large unbalance in trading skills between professional trading houses and small investors.
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