High Frequency Trading

High Frequency Trading (HFT) is a form of algorithmic trading that uses powerful computers and ultra-low-latency connections to execute thousands to millions of orders per second, capitalising on microscopic price differences that exist for milliseconds. HFT firms compete for speed and proximity to exchange servers to gain the smallest possible execution edge.

What Is High Frequency Trading?

HFT firms operate at a timescale no human can match: microseconds (millionths of a second). They use co-location (placing their servers physically next to exchange servers), direct market access, and specially optimised algorithms to see price changes and execute orders faster than anyone else.

HFT strategies profit from:
– **Market making**: continuously providing buy/sell quotes and earning the bid-ask spread
– **Latency arbitrage**: exploiting the time difference between when information reaches different trading venues
– **Statistical arbitrage**: finding and trading price correlations between securities

HFT in India

SEBI regulates co-location services and algorithmic trading in India. NSE’s co-location facility allows HFT firms to place their servers inside the exchange’s data centre. The Algo trading controversy in India (2015) involved allegations that some HFT firms received preferential access to NSE co-location facilities.

Is HFT Good or Bad?

**Arguments for HFT:**
– Improves market liquidity by providing continuous quotes
– Reduces bid-ask spreads for retail investors
– Faster price discovery

**Arguments against HFT:**
– Can contribute to flash crashes (sudden market drops)
– Creates an uneven playing field against slower traders
– Revenue from HFT may come at the expense of institutional investors

Who Participates in HFT?

Primarily large proprietary trading firms and specialised HFT firms. Retail investors cannot practically participate in HFT due to the enormous infrastructure costs and technical expertise required.

Practical Example

In a liquid stock like Reliance Industries, an HFT firm detects that a large buy order is about to be executed on NSE based on order flow patterns. The firm buys the stock at Rs 2,450.10 in microseconds before the large order pushes the price to Rs 2,450.25. It immediately sells at Rs 2,450.20, capturing a Rs 0.10 profit per share. Multiplied by 50,000 shares and hundreds of such events per day, this generates significant revenues.

Key Takeaways

– HFT executes thousands to millions of trades per second using ultra-fast computers and co-location
– Strategies include market making, latency arbitrage, and statistical arbitrage
– SEBI regulates co-location and algorithmic trading access in India
– HFT improves liquidity and reduces spreads but raises concerns about market fairness and flash crash risk
– Retail investors are not practical participants in HFT due to enormous infrastructure requirements