200-500 milliseconds
referenceCredibility Rating
Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: Wikipedia
Relevant as background context for AI safety researchers studying autonomous systems in high-stakes domains; HFT illustrates real-world risks of fast, opaque algorithmic agents operating at scale with limited human oversight.
Metadata
Summary
Wikipedia's comprehensive overview of high-frequency trading (HFT), a form of algorithmic automated trading characterized by extreme speeds, high order-to-trade ratios, and very short-term investment horizons. HFT accounts for 10-40% of equity trading volume and raises concerns about market stability and fairness. It serves as background context for understanding AI-driven autonomous systems operating in high-stakes, time-critical environments.
Key Points
- •HFT uses sophisticated algorithms and co-location to execute trades in seconds or fractions of a second, representing an early real-world deployment of autonomous decision systems.
- •In 2016, HFT accounted for 10-40% of equity trading volume and 10-15% of foreign exchange/commodities volume, illustrating systemic scale of algorithmic actors.
- •HFT firms hold positions for extremely short durations, do not accumulate overnight positions, and operate with minimal human oversight in fast-moving environments.
- •HFT is a relevant case study for AI safety regarding autonomous systems, emergent market instability, and the challenges of governing fast, opaque algorithmic actors.
- •The field highlights risks of coordination failures and flash crashes when many autonomous systems interact, with implications for AI governance in financial critical infrastructure.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI Flash Dynamics | Risk | 64.0 |
Cached Content Preview
# High-frequency trading
High-frequency trading
Type of algorithmic trading
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**High-frequency trading** ( **HFT**) is a type of [algorithmic](https://en.wikipedia.org/wiki/Algorithmic_trading "Algorithmic trading") [automated trading system](https://en.wikipedia.org/wiki/Automated_trading_system "Automated trading system") in [finance](https://en.wikipedia.org/wiki/Finance "Finance") characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools.[\[1\]](https://en.wikipedia.org/wiki/High-frequency_trading#cite_note-FOOTNOTEAldridge2012[[Category:Wikipedia_articles_needing_page_number_citations_from_December_2025]]%3Csup_class=%22noprint_Inline-Template_%22_style=%22white-space:nowrap;%22%3E[%3Ci%3E[[Wikipedia:Citing_sources|%3Cspan_title=%22This_citation_requires_a_reference_to_the_specific_page_or_range_of_pages_in_which_the_material_appears. (December_2025)%22%3Epage needed%3C/span%3E]]%3C/i%3E]%3C/sup%3E-1)[\[2\]](https://en.wikipedia.org/wiki/High-frequency_trading#cite_note-2)[\[3\]](https://en.wikipedia.org/wiki/High-frequency_trading#cite_note-3) While there is no single definition of HFT, among its key attributes are highly sophisticated algorithms, co-location, and very short-term investment horizons in trading [securities](https://en.wikipedia.org/wiki/Securities "Securities").[\[4\]](https://en.wikipedia.org/wiki/High-frequency_trading#cite_note-4)[\[5\]](https://en.wikipedia.org/wiki/High-frequency_trading#cite_note-iosco-5)[\[6\]](https://en.wikipedia.org/wiki/High-frequency_trading#cite_note-whatis-6)[\[7\]](https://en.wikipedia.org/wiki/High-frequency_trading#cite_note-ucm-7) HFT uses proprietary trading strategies carried out by computers to move in and out of [positions](https://en.wikipedia.org/wiki/Position_(finance) "Position (finance)") in seconds or fractions of a second.[\[8\]](https://en.wikipedia.org/wiki/High-frequency_trading#cite_note-8)
In 2016, HFT on average initiated 10–40% of trading volume in equ
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