Kalshi Bitcoin and Ether Perpetual Volume Dominated by Repeating Trade Sizes

What to Know

• Trades valued within $2 of $5,499 accounted for $7.7 million, or 57%, of sampled Kalshi ether perpetual-futures volume from Sept. 17 through Sept. 20.
• On Kalshi’s bitcoin perpetual market, recurring trade sizes near $2,500 and $5,000 accounted for 54% of the $8.5 million sampled over the same period.
• Recurring fixed-dollar trades appeared in 43 of 46 one-hour samples examined between June 19 and Sept. 20.
• The number of contracts changed as crypto prices moved, while the dollar targets stayed nearly fixed, a pattern consistent with automated trading clips.
• Kalshi’s public data does not identify the traders behind the activity and does not establish wrongdoing.
• A rebate program filed with the CFTC took effect on Sept. 16, cutting fees for certain firms to 0.003% and paying market makers a rebate of the same size.
• The recurring $5,499 ether trades first appeared on Aug. 24, before the rebate program began.
• Kalshi is a U.S. derivatives exchange regulated by the Commodity Futures Trading Commission and added bitcoin perpetual futures in late May.

Repeating Clips Dominate Sampled Crypto Perp Activity

Kalshi’s bitcoin and ether perpetual-futures markets showed an unusual concentration of volume in a small number of repeating trade sizes, raising fresh questions about how much of the platform’s reported crypto activity reflects broad market participation and how much may be driven by recurring automated execution. The most striking pattern appeared in the ether perpetual market, where trades valued within $2 of $5,499 accounted for $7.7 million, or 57%, of the $13.5 million in transactions reviewed across the Sept. 17 through Sept. 20 sample.

The bitcoin perpetual market displayed a similar structure. Two recurring trade sizes, worth about $2,500 and $5,000, accounted for 54% of the $8.5 million in sampled trading over the same four-day period. The larger bitcoin trade size moved in close relation to the smaller one, staying exactly twice the smaller size in 9 of the 22 samples that contained both. In the other 13 samples, the larger trade was just one contract above double the smaller trade, a difference consistent with rounding as the number of contracts adjusted to changes in bitcoin’s price.

Volume is one of the first measures traders use to assess whether a market is active, liquid and capable of absorbing orders without sharp price disruption. A high headline volume figure can make a newer market appear deeper and more widely used. But volume alone does not show how many independent traders are involved, whether activity is concentrated among a small number of accounts, or whether repeated trade patterns are connected to market-making arrangements, automated strategies, incentive programs or other mechanics.

Ether Trades Cluster Around Fixed Dollar Targets

The ether perpetual data showed a persistent fixed-dollar pattern. Kalshi divides exposure into small contracts, which traded near $2.70 apiece on Monday. Across 3,450 ether-perpetual trades reviewed in 23 one-hour samples during the four-day period, 1,406 landed within $2 of the $5,499 target. The recurring dollar value stayed nearly stable even though the number of contracts required to reach it changed as ether’s price moved.

That distinction matters. If a trader or system were simply trading a fixed number of contracts, the dollar value would rise or fall with the underlying price. Instead, the sampled activity showed the opposite: the dollar target remained nearly fixed while the contract count adjusted. Ether rose from around $1,700 to $2,500 between June and September, meaning a trade targeting a similar notional value required fewer contracts as the market price increased. A July cluster held about 2,800 contracts, while a September cluster held roughly 2,200 contracts.

Among technical traders and market-structure specialists, this type of pattern is often associated with algorithmic execution in fixed notional amounts, sometimes described as trading in clips. Under that approach, a strategy targets a predetermined dollar amount and recalculates the number of contracts needed as prices change. Such behavior can be consistent with legitimate execution, risk management or market-making activity, but public trade data alone cannot determine the purpose behind the pattern.

The Pattern Predates the Four-Day Sample

The repetitive trading was not limited to the Sept. 17 through Sept. 20 window. In 43 of 46 one-hour samples examined between June 19 and Sept. 20, ether trades repeatedly clustered around specific recurring dollar targets. Across those samples, the prevailing trade size accounted for about 45% of the traded value and represented more than half of the value on 15 dates.

The dominant target changed over time. Trades clustered around $4,999 in earlier samples, while trades near $9,999 accounted for 72% of sampled value on June 28. A recurring $3,999 target first appeared on Aug. 10, followed by $4,499 on Aug. 18 and $5,499 on Aug. 24. By June 19, three weeks after Kalshi launched its cryptocurrency perpetual futures, trades worth almost exactly $4,999 accounted for 37% of sampled ether contract value in that hour.

The shifts from roughly $4,999 to $3,999, $4,499 and $5,499 suggest that the notional-size parameters behind the activity may have been periodically adjusted. That does not, by itself, indicate improper conduct. Algorithmic systems often alter trade size based on volatility, available liquidity, risk controls, inventory needs or changing market conditions. Still, when one or a few recurring notional values make up a large share of reported volume, market participants have reason to ask what those figures represent.

Bitcoin Shows a Paired Trade Structure

Kalshi’s bitcoin perpetual market showed a related but distinct pattern. Two recurring trade sizes moved in lockstep as bitcoin’s price changed, with the larger target approximately double the smaller one. When bitcoin traded near $76,300, the pair appeared as 327 and 655 contracts. On Monday, the comparable figures were 307 and 614 contracts. The changing contract counts suggest that the trades were recalibrated as the underlying price moved, while the dollar values remained anchored near the recurring targets.

For traders evaluating a market, this kind of repeated structure can complicate the interpretation of liquidity. A market may show meaningful traded value, but if a large percentage comes from recurring clips, the apparent depth may not tell the full story. True liquidity is not only about volume; it also depends on order-book depth, spread stability, the diversity of participants and the ability to enter or exit positions without causing outsized price movement.

Turnover Stands Out Versus Open Interest

Kalshi’s ether perpetual also showed heavy trading relative to the amount of open exposure left outstanding. A Monday snapshot showed about 93 million contracts of 24-hour volume against 1.5 million contracts of open interest, producing a volume-to-open interest ratio of 61. In practical terms, roughly 61 contracts changed hands during the day for every contract left open by traders.

That ratio was the second-highest among the 20 Kalshi perpetual markets with open interest, compared with a median of about eight. The bitcoin perpetual contract’s ratio was 26. High turnover does not automatically imply improper activity. Some markets can naturally produce frequent short-term trading, especially when automated strategies are active. However, a high ratio can intensify scrutiny when it appears alongside a large concentration of repetitive trade sizes.

Rebates Add Another Layer to the Debate

The timing of Kalshi’s fee and rebate structure has become part of the broader discussion. A rebate program filed with the CFTC took effect on Sept. 16, shortly before the four-day sample began. The program cut fees for certain firms that settled their own transactions directly with Kalshi to 0.003% and paid market makers a rebate of the same size. Lower trading costs and rebates can affect the economics of high-frequency strategies by making rapid turnover cheaper or potentially more attractive.

However, the rebate program does not explain the origin of the repeating ether trade sizes because the $5,499 pattern first appeared on Aug. 24, almost a month before the program began. The program could still have influenced trading economics during the later sample, but the recurring notional targets were already visible before it took effect. That distinction is important because it separates the emergence of the pattern from any later changes in transaction cost incentives.

Public Data Leaves Key Questions Open

Kalshi’s public trade records do not identify the traders responsible for the repeated trade sizes. They also do not establish whether the trades came from one participant, several participants, market makers, automated strategies, related accounts or unrelated traders using similar execution logic. Public order-book and trade data cannot determine whether activity reflected ordinary liquidity provision, rebate-sensitive trading, self-matching, common ownership among accounts or another explanation.

Some market participants have raised concerns that repetitive trade sizes may overstate how organic Kalshi’s crypto perpetual volume appears. A pseudonymous trader known as Beni publicly accused Kalshi of inflating its crypto volume. Kalshi’s crypto head, who posts as IcoBeast, disputed part of that argument, saying a cited volume-share chart covered prediction markets rather than perpetual futures. He also said Kalshi does not pay rebates on its crypto prediction markets and must publicly file incentives offered on its regulated exchange.

That response did not identify who produced the repeating ether perpetual trades or explain why the fixed dollar amount changed over time. For now, the available data supports a narrower conclusion: a substantial share of sampled Kalshi bitcoin and ether perpetual volume was concentrated in highly repetitive trade sizes, and the pattern is consistent with automated fixed-notional execution. Whether that reflects routine market-making, a small group of active participants, incentive-driven turnover or something else remains unresolved from public data alone.

Frequently Asked Questions (FAQs)

What did the Kalshi crypto perpetual data show?

The data showed that a large share of sampled bitcoin and ether perpetual-futures volume came from recurring fixed-dollar trade sizes. On ether, trades near $5,499 accounted for 57% of sampled volume from Sept. 17 through Sept. 20, while recurring bitcoin trade sizes near $2,500 and $5,000 accounted for 54% of sampled bitcoin volume.

Why are repeating trade sizes important?

Repeating trade sizes matter because they can indicate that a market’s reported volume is being driven by a narrow pattern rather than broad participation. That does not prove wrongdoing, but it does affect how traders interpret liquidity, activity and market depth.

Does the data prove improper trading on Kalshi?

No. Kalshi’s public data does not identify the traders and does not establish wrongdoing. The pattern is consistent with automated fixed-notional trading, but public records alone cannot determine intent, account ownership or whether the activity was connected to market-making arrangements.

What is a fixed-dollar trading clip?

A fixed-dollar trading clip is an order size designed to target a specific notional value, such as a repeated dollar amount. As the underlying asset price changes, the number of contracts adjusts so the trade remains close to the intended dollar target.

When did the recurring ether trade sizes appear?

Recurring ether trade sizes appeared across many sampled dates between June 19 and Sept. 20. The $5,499 target first appeared on Aug. 24, while earlier samples showed clusters near other levels, including $4,999, $9,999, $3,999 and $4,499.

What role did Kalshi’s rebate program play?

A rebate program filed with the CFTC took effect on Sept. 16, cutting fees for certain firms to 0.003% and paying market makers a rebate of the same size. The program began after the $5,499 ether pattern first appeared, so it does not explain the emergence of that recurring trade size, though it could have affected trading economics later.

How did bitcoin’s pattern differ from ether’s?

Bitcoin showed two recurring trade sizes that moved together, with the larger one roughly twice the smaller one. In several samples the larger size was exactly double the smaller size, while in others it was one contract above double, consistent with rounding as bitcoin’s price changed.

Why does volume-to-open interest matter?

Volume-to-open interest compares how much trading occurs with how much exposure remains open. Kalshi’s ether perpetual showed a ratio of 61 in a Monday snapshot, meaning roughly 61 contracts changed hands for every contract left open. High turnover can occur in active markets, but it can also prompt questions about the nature of trading activity.

What should traders watch next?

Traders may watch whether the recurring trade sizes continue, whether the dominant dollar targets shift again, and whether Kalshi provides more detail about market-making, incentives or the source of repeated activity. Until then, the public data supports caution when interpreting headline volume figures.