3Red Trading: The Sell Orders That Helped a Buyer

In the 3Red Trading CFTC spoofing settlement, the firm and its principal trader agreed to pay a $2.5 million civil penalty over allegations that they displayed orders they intended to cancel, then switched sides to trade with participants those orders had drawn in. The alleged strategy used familiar desk tools: visible order size, hidden quantity and a feature meant to prevent self-trading. Someone who knows how those controls were used may see the purpose behind the cancellations.

The Commodity Futures Trading Commission alleged futures spoofing on at least 51 trading days between December 2011 and January 2014. Its charging announcement identified copper, crude oil, natural gas, volatility-index and E-mini S&P 500 futures on CME, NYMEX, COMEX and CBOE Futures Exchange.

The Chicago firm, named in the court order as 3 Red Trading LLC, employed both manual and algorithmic traders. The principal trader at the center of this action was its president, chief executive and majority owner during the trading period. He made his own trading decisions and entered trades manually with software assistance.

How the Cancel-and-Flip Orders Worked

The Commission alleged that 3Red Trading used large displayed orders to attract other participants, then canceled those orders while placing aggressive orders on the opposite side. Other traders saw apparent interest to buy or sell. The firm allegedly wanted to trade against the response that interest produced.

An electronic order book shows quantities available at different prices. The consent order explains that participants could see the number of orders and contracts at each price, while the identity behind an order remained hidden. Traders used that information to judge buying and selling pressure. A sudden accumulation of offers could change their view of the market before any of those offers traded.

According to the Commission, the principal trader placed passive orders at or near the best price, behind orders already waiting there. Those earlier orders would have to fill or disappear before his orders reached execution. Meanwhile, his displayed quantity added to the apparent depth of the book.

The next move used a self-trade prevention feature, often called a wash blocker. Its purpose was to keep a trader’s own buy and sell orders from matching. The consent order describes how the principal trader used it to enter an opposite-side order while automatically canceling existing orders that would otherwise match it. The cancellation and switch could occur within five milliseconds.

We see the absurdity in the alleged use of that control: a feature designed to prevent trading with yourself became the means of trading against people drawn in by orders you intended to withdraw. The software connected the display, the cancellation and the trade. One button push.

Natural Gas Orders That Changed the Book

The consent order’s natural-gas example shows how the alleged strategy changed the choices available to other participants. According to that account, on November 30, 2012, the defendants entered seven visible sell orders totaling 103 contracts behind existing orders at the best offer.

The order says those entries increased the visible quantity offered at that price by more than 1,100%. Other participants then entered sell orders, and a lower best offer appeared. The Commission alleged that the displayed selling pressure attracted more sellers.

According to the order, the defendants’ sell orders remained pending for less than 750 milliseconds and received no fills. Over the next three milliseconds, the defendants entered two aggressive buy orders. The wash blocker automatically removed their opposing sell orders, allowing the switch.

The order records purchases of 43 contracts, most at a price unavailable before the defendants entered the cancel-side orders. After the buys had mostly filled, the defendants canceled the remaining portion of one buy order.

That is the commercial point of the Commission’s allegation. The large sell orders allegedly helped create an opportunity to buy. In the Commission’s account, other participants made real selling decisions in response to apparent supply that vanished when the trader switched sides.

What Evidence Is Required to Prove Fraud?

Evidence of spoofing connects the trader’s intent when entering an order with the displayed interest, the cancellation and the trade it served. In this action, the Commission’s account went beyond the number of orders withdrawn. It examined how the orders accumulated, how their size compared with the rest of the market, and what happened immediately before and after each switch.

The consent order describes cancel-side entries accelerating as a flip approached. It also describes orders large enough to create an imbalance against the quantity already resting in the book, and more trade-side orders following flips than during other transactions. These comparisons connect the trader’s own sequence to the market around it.

Hidden quantity supplied another part of the picture. An iceberg order displays only part of the quantity available to trade. The order says the principal trader used that feature more often on the trade side than on the cancel side in markets that allowed it. The Commission’s complaint alleged that this concealed the true size of many orders intended to fill. The public display and the intended trade told different stories.

The complaint stated the Commission’s inference about intent directly:

That allegation puts timing and repetition together. For a trader, developer or surveillance employee, the useful explanation may concern why the tool behaved that way and how the person at the screen used it. We examine order messages, amendments, fills and communications together, connecting the visible activity to the decisions inside the firm.

The industry’s trading-record requirements reach filled, unfilled and canceled orders, along with specified communications leading to execution. That matters in a case built around orders meant to disappear: the completed trades tell only part of the trading story.

A separate civil action against Panther Energy Trading illustrates the same connection through different machinery. The Commission’s settlement order described an algorithm that allegedly entered large orders intended for cancellation to help smaller genuine orders execute on the opposite side. In the 3Red action, the principal trader made manual decisions with trading tools. In both accounts, the evidence joins the orders intended to disappear to the trades they were meant to help.

What Surveillance Sees and an Insider Can Explain

Surveillance systems flag patterns for people to examine. A 2024 working paper from a World Federation of Exchanges research project, An Analysis of Market Manipulation Definitions Around the World, describes specialist analysts reviewing activity identified by automated systems. It explains that traditional systems look for predefined patterns and struggle to recognize new ones.

The paper also describes the difficulty of following a sequence whose individual actions affect later trading. That observation fits the evidence problem here. Looking at the canceled sell orders separately from the subsequent purchases loses the reason the Commission said the orders mattered. The relationship between the events is the allegation.

An insider who understands the trading tool, the instructions behind its use or the response to an alert can help explain that relationship. We bring that account together with the sequence in the trading records. The commercial purpose needs to be intelligible as well as visible on a screen.

The Settlement’s Trading Controls

The December 20, 2016 consent order ended the Commission’s enforcement action with a civil penalty and trading controls. The firm and its principal trader each became responsible for the full shared civil penalty. The order permanently prohibited the deceptive cancel-and-flip pattern and trading that created false or misleading market depth or book pressure.

The settlement also appointed an independent monitor for three years to assess the firm’s trading and trading through accounts the principal trader owned or controlled. For eighteen months, it required specified quantity and cancel/replace controls across his U.S. futures trading. These terms reached the same operational details that made the allegations concrete: order quantity, cancellation behavior and oversight of the person using the tools.

How Much Is a Whistleblower Claim Worth?

The CFTC Whistleblower Program can pay qualifying whistleblowers an aggregate 10% to 30% of monetary sanctions collected. Outside market participants can qualify as well as firm insiders. We work through your award opportunity with you, including how your knowledge explains the trading and contributes to the case.

A whistleblower case under the False Claims Act can pay 15% to 30% of what the government recovers. That separate recovery system addresses fraud against the government.

You Know How the Trading Tools Were Used

If the orders, settings or surveillance responses you know tell this kind of story, speak to our whistleblower experts about the desk behind them. We develop the case with you and bring in commodities fraud whistleblower lawyers who understand manual trading, automated controls and the evidence of intent. We stay at your side as that inside account becomes a case the government can act on.