In a recent analysis of trading activity on Kalshi, a regulated exchange that offers contracts for difference on a variety of assets, researchers uncovered an unexpected pattern in the volume of perpetual contracts for two of the most popular cryptocurrencies: Bitcoin and Ether. The data, which was gathered by CoinDesk’s investigative team, shows that a surprisingly small number of repeat trade sizes dominate the overall turnover, suggesting that a single participant or a tightly coordinated group may be responsible for a large share of the market’s activity on this platform. The most striking finding concerns Ether‑perpetual contracts. Among the sample of trades examined, one particular order size—$5,499—appeared repeatedly and alone accounted for 57 percent of the total volume measured.
In other words, more than half of the Ether perpetual trading on Kalshi can be traced back to a single, consistently sized transaction. This concentration is unusual for a market that typically sees a wide distribution of trade sizes, ranging from small retail orders to large institutional moves. The uniformity of the $5,499 figure hints at either an automated trading strategy that has been programmed to execute at that exact amount, or a manual approach by a trader who prefers to keep their order size constant for reasons such as risk management, tax reporting, or internal accounting.
Bitcoin perpetual contracts displayed a similar, though slightly more varied, pattern. Two recurring trade sizes—$2,500 and $5,000—together made up 54 percent of the sampled Bitcoin‑perpetual volume. While the presence of two distinct sizes suggests a bit more diversification than the Ether case, the fact that more than half of the activity can be attributed to just these two values still points to a high degree of concentration.
Such a concentration could be the result of a market‑making operation that uses fixed order sizes to provide liquidity, or it could reflect the behavior of a large trader who splits a sizable position into multiple, identically sized slices to avoid drawing attention. Understanding why these repetitive trades matter requires a brief overview of how perpetual contracts work and why volume metrics are closely watched by market participants. Perpetual contracts are a type of derivative that allows traders to speculate on the price of an underlying asset without owning it outright. Unlike traditional futures, perpetuals have no expiration date; they are continuously rolled over, and their price is kept in line with the spot market through a funding rate mechanism.
Because they are settled in cash and can be leveraged, perpetuals attract a broad spectrum of participants, from casual retail investors to sophisticated hedge funds. Volume, in this context, is a proxy for market interest, liquidity, and price discovery. When volume is spread across many participants and order sizes, it generally indicates a healthy, competitive market.
Conversely, when a few orders dominate, the market may be more vulnerable to manipulation or may reflect the influence of a single large player. The implications of Kalshi’s volume concentration are multifold. First, regulators and exchange operators may view such patterns as a red flag that warrants closer scrutiny.
If a single entity is responsible for a majority of the activity, it could potentially sway price movements, especially in a market that is still relatively nascent compared to more established venues like CME or Binance. This raises concerns about market integrity and the fairness of the trading environment for smaller participants. Second, the presence of repetitive trade sizes can affect the reliability of volume‑based metrics that traders and analysts use to gauge market health.
Many algorithmic strategies incorporate volume signals to decide when to enter or exit positions. If those signals are artificially inflated by a handful of repetitive trades, the strategies may produce misleading results, leading to suboptimal execution or unexpected losses.
Third, the phenomenon may reflect broader trends in the crypto derivatives space, where automation and algorithmic trading are becoming increasingly prevalent. The $5,499 and $2,500/$5,000 order sizes could be the output of a bot that is programmed to trade at fixed intervals, perhaps to exploit arbitrage opportunities between Kalshi and other exchanges. Alternatively, the consistency could be part of a risk‑management framework that caps exposure per trade, a practice common among institutional traders who aim to limit the impact of any single order on their overall portfolio.
From an investor’s perspective, recognizing that a substantial portion of the volume comes from repetitive, fixed‑size trades may prompt a more cautious approach. Traders might choose to verify whether price movements are supported by a broad base of market participants or are primarily driven by the activity of a single large trader. In the latter case, price spikes or drops could be more volatile and less sustainable, as the market could quickly revert once the dominant trader steps back. Kalshi itself, as a regulated exchange, has a responsibility to monitor for unusual trading patterns and to ensure that its platform remains transparent and fair.
The exchange could implement additional surveillance tools that flag repetitive order sizes and investigate whether they align with legitimate trading strategies or indicate potential market manipulation. Enhanced reporting requirements, such as mandatory disclosure of large traders’ identities or the use of anonymized aggregate data, could also help mitigate concerns. In conclusion, the CoinDesk investigation into Kalshi’s Bitcoin and Ether perpetual contracts reveals a noteworthy concentration of trade volume around a few fixed order sizes. One $5,499 trade accounts for more than half of Ether perpetual volume, while $2,500 and $5,000 trades together dominate Bitcoin perpetual volume.
This pattern suggests that a single participant or a coordinated group exerts significant influence over the market on Kalshi. The findings raise important questions about market integrity, the reliability of volume‑based analytics, and the role of automated trading in the crypto derivatives ecosystem.
Stakeholders—including regulators, exchange operators, and market participants—should consider these insights when assessing the health and fairness of the market, and they may need to adopt additional oversight measures to ensure that trading activity remains transparent, competitive, and free from undue influence.