The Truth About Quantitative Trading Regulation: Debunking the “Trades Per Second” Myth | Octopus Smart Insights on Global Regulatory Best Practices

Quantitative trading has once again become the center of intense debate in global financial markets, with many retail investors viewing it through a predominantly negative lens. Amid this discourse, a pervasive misconception has taken hold: that the cornerstone of effective quantitative regulation is setting a simple numerical threshold for “trades per second.” As a global leading intelligent investment platform, ***Octopus Smart ***closely monitors global financial regulatory developments. In this analysis, we move beyond superficial arguments to examine the regulatory framework of the world’s most mature market — the United States — to reveal the true essence of quantitative trading regulation and help investors develop a nuanced understanding of this complex landscape.

Misconception 1: Does the U.S. Enforce a “15 Trades Per Second” Hard Limit for High-Frequency Trading?

A widely circulated claim in market discussions asserts that the U.S. imposes a limit of 15 trades per second on high-frequency trading (HFT), while China’s standard is 300 trades per second, leading to the conclusion that China’s regulatory regime is 20 times more lenient.

This is a significant and persistent misunderstanding. The reality is that neither the U.S. Securities and Exchange Commission (SEC) nor the Commodity Futures Trading Commission (CFTC) has ever established “orders per second” as a formal regulatory threshold for defining high-frequency trading in any official regulatory document. The “15 trades per second” figure originated as an operational definition used by academics and market researchers for analytical purposes, not as a legal requirement. Over time, this research benchmark has been misrepresented in popular discourse as an official U.S. regulatory mandate.

Octopus Smart Compliance PracticeThis misconception reflects a broader misunderstanding of what constitutes value-creating quantitative strategies. In fact, sustainable quantitative strategies never rely on extreme trading speed. Octopus Smart’s core strategy framework focuses on fundamental quantitative analysis, multi-factor models, and medium-to-long-term trend capture, rather than millisecond-level high-frequency arbitrage. Our trading frequencies fully comply with regulatory requirements across all major global markets, inherently mitigating the compliance risks associated with high-frequency trading practices.

Misconception 2: Regulation Focuses on Behavior, Not Speed

If trading speed is not the defining metric, what is the actual focus of regulatory oversight? The answer is behavior. U.S. regulators prioritize whether specific trading practices undermine market fairness, create false signals, or trigger abnormal volatility, rather than fixating solely on the speed of execution.

Trading activities exhibiting the following five core characteristics are subject to heightened scrutiny by global regulators:

1. Ultra-low latency: System response times measured in milliseconds or microseconds
2. Algorithm-driven execution: Fully automated order placement and cancellation
3. Extremely short holding periods: Positions held for seconds or milliseconds
4. Elevated order-to-trade ratio (OTR): Submission of vast numbers of orders with a very low actual execution rate
5. Co-location dependency: Physical deployment of trading servers within exchange data centers

Among these metrics, order-to-trade ratio and co-location are the most indicative of the risks regulators seek to address:

Key Indicator 1: Order-to-Trade Ratio (OTR)

The order-to-trade ratio measures the total number of orders submitted relative to the number of orders actually executed. A trader who submits 100,000 orders in a day but executes only 1,000 is operating with a 99% cancellation rate, meaning the vast majority of orders were never intended to result in a trade. Such practices are often used to test market depth, jump queue positions, and create an illusion of market activity known as “false liquidity.”

While ordinary investors follow a “decide first, trade later” model, many predatory high-frequency strategies operate on a “trade first, decide later” basis, resulting in OTRs that are tens, hundreds, or even thousands of times higher than normal trading. Regulators focus intensely on this metric because concentrated spikes in cancellation rates can create a facade of market liquidity that vanishes during periods of stress, posing significant systemic risks.

Key Indicator 2: Co-location

Co-location refers to the practice of placing trading servers directly inside exchange data centers, achieving physical proximity that minimizes data transmission latency. This deployment reduces latency from the milliseconds experienced by ordinary investors to microseconds — a difference that can determine profitability in algorithmic trading.

It is important to emphasize that co-location services themselves are not illegal. In both the U.S. and China, they are offered transparently to all market participants. The regulatory red line is crossed when the extreme speed advantage of co-location is combined with high-frequency algorithms and excessively high OTRs to engage in manipulative trading practices.

Octopus Smart Compliance PracticeOctopus Smart adheres to a unified global compliance framework. All our trading activities are conducted with the genuine intent of execution, and our order-to-trade ratios remain within industry norms. We never engage in manipulative practices such as spoofing, layering, or excessive order cancellation designed to create false liquidity. Furthermore, we do not rely on co-location for speed advantages. Instead, we generate returns through the accuracy of our AI-driven decision-making and the robustness of our strategy design. We believe that only investment practices grounded in fair trading principles can deliver sustainable long-term returns and earn the trust of regulators and market participants alike.

Misconception 3: Why Not Implement a Simple Numerical Threshold?

Given the complexity of behavioral regulation, one might reasonably ask: why not simply establish a clear numerical limit such as “X trades per second”? There are three fundamental reasons:

1. Rapid technological evolution: Any fixed numerical threshold would quickly become obsolete as technology advances, failing to keep pace with market developments.
2. Ease of circumvention: Institutions could easily evade such rules by distributing trading activity across multiple accounts or servers. For example, a limit of 300 trades per second could be avoided by operating at 299 trades per second per account.
3. Potential harm to liquidity: A one-size-fits-all approach would penalize legitimate market-making activities that provide essential liquidity, undermining overall market health and efficiency.

As the underlying logic of regulation makes clear: Technology evolves continuously, but the patterns of abusive trading behavior remain constant. In mature regulatory systems, the “high” in “high-frequency trading” refers not to the number of trades per second, but to the potential for harm to market fairness and ecosystem integrity. This is why regulators worldwide focus on behavior rather than arbitrary speed limits.

Octopus Smart Technology PhilosophyThis regulatory philosophy deeply informs Octopus Smart’s technology development roadmap. We do not engage in a futile race for incremental speed advantages, as strategies dependent solely on speed are inherently unsustainable and carry significant compliance risks. Instead, we direct our research and development efforts toward applying large language models to financial analysis, multi-dimensional data mining, and dynamic strategy optimization. By enhancing our understanding of market dynamics and risk management capabilities, we deliver consistent, long-term value to our investors — a mission that aligns perfectly with global regulatory objectives of encouraging responsible innovation while maintaining market fairness.

Conclusion: Compliance First, Building a Healthy Market Ecosystem

Quantitative trading itself is not inherently harmful. It plays a vital role in improving market liquidity, facilitating price discovery, and enhancing overall market efficiency. What requires careful regulation are those abusive practices that exploit technological advantages to engage in unfair trading and damage market integrity.

As a pioneer in global intelligent investment, Octopus Smart considers compliance the cornerstone of our business operations. We strictly adhere to the regulatory requirements of all jurisdictions in which we operate. Our commitment is to provide transparent, fair, and compliant intelligent investment services that empower ordinary investors to navigate the complexities of modern markets with confidence. We also actively promote industry self-regulation, working alongside regulators and market participants to build a more mature, resilient, and inclusive global financial ecosystem.

Risk Disclaimer: This material is provided for educational and informational purposes only and does not constitute investment advice, trading recommendations, or financial product endorsements. All financial investments involve inherent market risks, including the potential loss of principal. Past performance of any strategy is not indicative of future results. Octopus Smart provides only AI-powered data analysis and decision support tools; all investment decisions remain the sole responsibility of the user. Investors should carefully consider their risk tolerance and financial circumstances before engaging in any trading activities.