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High-Frequency Trading

High frequency trading uses extreme speed to trade huge volumes for tiny profits per trade. Learn the main HFT strategies, the technology and the criticisms.

Intermediate3 min readUpdated 3 Oct 2026
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Lesson 4 of 11

High frequency trading (HFT) is a form of algorithmic trading that uses very fast computers, low latency connections and sophisticated software to trade large numbers of orders in fractions of a second. HFT firms typically hold positions for seconds or less, end the day with little inventory and earn tiny profits on each trade, adding up across millions of trades. HFT firms are major liquidity providers in modern markets, and their role has been debated since the 2010 Flash Crash and the 2014 book "Flash Boys".

Key characteristics#

FeatureDetail
Holding periodMicroseconds to minutes
Order volumeVery high, with many cancellations
Profit per tradeFractions of a cent per share
End of day positionsUsually flat
TechnologyCo location, custom hardware, optimised networks. See Co-Location
Main edgeSpeed, scale and low costs

Main HFT strategies#

StrategyDescriptionLesson
Market makingContinuously quote bids and offers, earning the spread and exchange rebatesMarket Making
Latency arbitrageExploit tiny price differences between venues that last microsecondsArbitrage Strategies
Statistical arbitrageTrade short lived relationships between related instruments, such as ETFs and their componentsStatistical Arbitrage
Event and news tradingReact to data releases and headlines faster than othersNews Trading
Order flow predictionAnticipate short term price moves from order book changesThe Order Book and Market Depth

The speed race#

HFT firms compete on latency, the time it takes to receive data, decide and send orders:

  • Co location: placing servers inside exchange data centres. See Co-Location.
  • Microwave and laser networks: between Chicago and New York, microwave links cut round trip times compared with fibre, because signals travel faster through air than glass.
  • Hardware acceleration: FPGAs and specialised network cards. See FPGAs and Hardware Acceleration.
  • Kernel bypass and optimised software. See Kernel Bypass and Low-Latency Networking.

Effects on markets: the evidence#

EffectFindings (mixed)
Bid ask spreadsMany studies found spreads narrowed as electronic and HFT market making grew
LiquidityMore quoted liquidity in normal times; concerns it can vanish in stress
Price discoverySome research finds HFT helps prices incorporate information faster
Volatility and flash crashesHFT was involved in events like the 2010 Flash Crash, though not identified as the sole cause. See The 2010 Flash Crash
Costs for long term investorsDebated; lower spreads help, but some argue HFT extracts value from large orders

Criticisms and regulation#

  • Phantom liquidity: quotes that disappear when needed.
  • Speed advantage fairness: Michael Lewis's "Flash Boys" (2014) argued that some HFT strategies took advantage of slower investors.
  • Manipulative practices: spoofing and layering are illegal; several traders and firms have been prosecuted. See Spoofing and Layering.
  • Responses: speed bumps (such as IEX's 350 microsecond delay), order to trade ratio limits, minimum resting times and circuit breakers in some markets.

Can individuals do HFT?#

Realistically, no. True HFT requires large investments in technology, exchange connectivity and market data, plus specialised talent. Individual traders compete better at longer horizons where speed matters less. See Day Trading and Swing Trading.

Frequently asked questions#

What is high frequency trading?#

A form of algorithmic trading that uses extreme speed to trade very large numbers of orders, holding positions for seconds or less and earning small profits per trade.

Is high frequency trading good or bad for markets?#

Evidence is mixed: HFT has been linked to tighter spreads and more liquidity in normal times, but critics argue liquidity can vanish in stress and that speed gives unfair advantages.

Can retail traders compete with HFT?#

Not on speed. Retail traders do better with strategies at longer horizons where milliseconds do not matter.

Next, learn how algorithms are built and tested in Developing, Testing and Monitoring Algorithms.

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Next lessonDeveloping, Testing and Monitoring AlgorithmsA step by step process for developing a trading algorithm, from idea and specification to coding, testing, review and staged deployment with real controls.

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