Algorithmic Trading: The Numbers
Every statistic on this page is sourced from SEC filings, peer-reviewed research, or named industry reports. No rounded guesses.
Algorithmic Trading Volume
60–73%
of US equity trading volume is algorithmic
TABB Group / SEC estimates, 2018–2023
High-Frequency Trading
~50%
of US equity volume attributed to HFT
SEC Equity Market Structure Report, 2020
Fundamental Discretionary
~10%
of daily trading by traditional stock-pickers
JPMorgan (Marko Kolanovic), 2017
Retail Order Flow Internalization
40–50%
of retail orders executed by Citadel Securities + Virtu
SEC Rule 606 disclosures, 2022–2023
Who Is Actually Trading Your Stock?
High-Frequency Trading (HFT)
~50%Sub-millisecond execution, market-making, statistical arbitrage. Firms like Citadel Securities, Virtu Financial, Jump Trading.
Quantitative Hedge Funds
~15–20%Multi-factor models, NLP sentiment, momentum strategies. Renaissance Technologies, Two Sigma, D.E. Shaw, AQR.
Institutional Algo Execution
~10–15%VWAP, TWAP, implementation shortfall algorithms used by pension funds, mutual funds, and broker dealer desks.
Fundamental Discretionary
~10%Traditional stock-picking based on human analysis of financials, management quality, and industry trends.
Retail (Direct)
~10–15%Individual investors via Robinhood, Schwab, Fidelity, Interactive Brokers. Significant portion is internalized by wholesalers.
Sources: TABB Group (2018–2023), SEC Equity Market Structure Advisory Committee, JPMorgan Quantitative & Derivatives Strategy (Kolanovic, 2017), SEC Rule 606 broker-dealer disclosures.
What This Means for Your IR Strategy
When over 60% of your daily volume is algorithmic, your SEC filings are being read by machines before any human analyst opens them. These systems parse every word for sentiment, tone, risk language density, and forward guidance clarity.
Traditional IR strategies built for human readers miss this entirely. The language patterns that algorithms flag as negative are often invisible to human review — hedge words, passive constructions, and risk factor bloat that accumulate across filings without anyone noticing.
Small-cap companies under $500M market cap are disproportionately affected because they lack the institutional IR teams that large-caps use to inadvertently optimize their filings over decades.
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