Kalshi’s Bitcoin and Ether Perpetual Trading Volumes Skewed by Repetitive Large Orders, Data Reveals

In a recent deep‑dive into the trading patterns on Kalshi, a regulated exchange that offers contracts for difference on a variety of assets, analysts uncovered a striking concentration of volume in a handful of repetitive, high‑value trades. The investigation, conducted by the cryptocurrency news outlet CoinDesk, focused on perpetual contracts for two of the most prominent digital assets: Bitcoin (BTC) and Ether (ETH). While perpetual contracts are designed to mimic the price movements of the underlying asset without an expiration date, the data suggests that on Kalshi, a surprisingly small set of trade sizes dominates the market activity, raising questions about the nature of liquidity, the presence of algorithmic strategies, and the overall health of the exchange’s order book.

### Ether‑Perpetual Market: One Trade Size Rules the Roost When examining the ether‑perpetual market, CoinDesk discovered that a single trade size—precisely $5,499—accounted for an astonishing 57 percent of the sampled volume. This figure emerged from a representative sample of trades taken over a multi‑day window, during which the exchange’s public data feed was scraped and aggregated.

The $5,499 trade size appeared repeatedly, often in quick succession, suggesting the involvement of either a large institutional participant or an automated trading system programmed to execute a series of identical orders. The dominance of this one trade size is unusual for a liquid market.

In a typical futures or perpetual contract environment, volume is dispersed across a wide range of order sizes, reflecting the diverse risk appetites and capital bases of retail traders, market makers, and institutional investors. The concentration observed on Kalshi implies that a single entity—or a coordinated group of entities—may be using the platform to hedge exposure, arbitrage price discrepancies, or simply to provide liquidity in a controlled manner. Such behavior can have both positive and negative implications. On the positive side, the consistent presence of a sizable order can stabilize the order book, reducing slippage for other participants.

Conversely, it can mask the true depth of the market, leading to an illusion of liquidity that may evaporate if the dominant trader withdraws. ### Bitcoin‑Perpetual Market: Repeating $2,500 and $5,000 Orders The bitcoin‑perpetual market displayed a slightly different but equally noteworthy pattern. Here, two recurring trade sizes—$2,500 and $5,000—together comprised 54 percent of the sampled volume. While not as extreme as the single‑size dominance seen with ether, the fact that over half of the activity can be traced to just two order sizes is still remarkable.

These figures suggest a systematic approach, possibly driven by algorithmic trading bots that target specific risk parameters or margin requirements. Bitcoin’s larger market capitalization and higher daily trading volume compared to ether might explain why the concentration is split between two sizes rather than one.

Nonetheless, the presence of such repetitive orders can influence price discovery. If the market perceives that a large, predictable order flow is present, other participants may adjust their strategies—either by aligning with the expected direction of those orders or by attempting to anticipate and counteract them. ### Potential Drivers Behind the Repetitive Trades Several hypotheses can be advanced to explain why these repetitive trade sizes dominate Kalshi’s perpetual markets: 1.

**Algorithmic Market‑Making**: A sophisticated market‑making bot could be programmed to place a series of identical orders to capture the spread while maintaining a balanced inventory. By repeatedly posting the same size, the bot ensures predictable exposure and simplifies risk management. 2.

**Hedging Strategies**: Institutional investors who hold large positions in the underlying spot markets may use perpetual contracts to hedge price risk. A uniform trade size could reflect a standardized hedging ratio applied across multiple accounts. 3. **Arbitrage Opportunities**: Traders might be exploiting price differentials between Kalshi’s contracts and other venues, such as CME, Binance Futures, or traditional derivatives exchanges.

Repetitive orders of a fixed size can be a way to systematically capture small arbitrage profits while staying within the limits of the exchange’s margin requirements. 4. **Liquidity Provision Incentives**: Some exchanges offer rebates or fee discounts to participants that provide consistent liquidity. If Kalshi has such a program, it could incentivize traders to maintain a steady flow of identical orders.

### Implications for Market Participants For retail traders and smaller institutions, the presence of a dominant order flow can be a double‑edged sword. On one hand, the predictable liquidity may reduce transaction costs for those who trade in similar sizes, as the order book will likely absorb their trades with minimal impact.

On the other hand, reliance on a single or few large participants can create fragility; a sudden withdrawal of that liquidity could lead to rapid price swings and increased slippage. Moreover, the apparent lack of diversity in order sizes may affect the accuracy of price signals. In a healthy market, a wide array of participants with varying trade sizes contributes to a more robust price discovery process.

When a few repetitive trades dominate, the market price may reflect the intentions of those participants more than the broader consensus, potentially leading to mispricing relative to other venues. ### Regulatory and Transparency Considerations Kalshi operates under the oversight of the U.S. Commodity Futures Trading Commission (CFTC) and is required to adhere to strict reporting and transparency standards. The identification of such concentrated trade patterns underscores the importance of ongoing surveillance and data analysis.

Regulators may be interested in ensuring that the market remains fair and that no single participant can unduly influence price formation. CoinDesk’s findings also highlight the value of publicly available data. By aggregating and analyzing trade‑size information, analysts can surface hidden dynamics that might otherwise go unnoticed by casual observers.

Market participants are encouraged to monitor these trends, especially if they rely on Kalshi for exposure to crypto‑related derivatives. ### Looking Forward As the cryptocurrency derivatives landscape continues to evolve, the interplay between regulated platforms like Kalshi and more traditional, unregulated venues will shape how liquidity is distributed across the ecosystem.

If the current patterns persist, we may see a gradual convergence of trade‑size distributions as more participants enter the market and diversify order flow. Conversely, if the dominant trade sizes remain entrenched, they could become a defining characteristic of Kalshi’s perpetual contracts, influencing everything from pricing to risk management strategies. In summary, the data reveals that a surprisingly small set of repetitive, high‑value trades accounts for the majority of volume in both ether‑ and bitcoin‑perpetual markets on Kalshi. Whether driven by algorithmic market‑making, hedging, arbitrage, or liquidity incentives, these patterns have tangible implications for price discovery, market stability, and regulatory oversight.

Traders and observers alike should remain vigilant, recognizing that while such concentration can provide short‑term liquidity benefits, it also introduces potential vulnerabilities that could surface under stress or when the dominant participants alter their behavior.