Prediction Market Exchange Kalshi Terminates Incentive Program Amid Trading Volume Scrutiny
Kalshi announced it will terminate its Volume Incentive Program by October 13, a scheme that rewarded traders based on their trading activity, moving up the end date from 2027. The decision follows mounting scrutiny over suspicious trading patterns in Kalshi's ether perpetual futures market, where recurring fixed-dollar trades around $5,500 accumulated over $5 billion in reported volume within approximately one month. Regulators and market observers have questioned whether the reported activity reflects genuine market participation or wash trading incentivized by the company's reward structure.
Kalshi established its Volume Incentive Program in 2023 with the stated aim of boosting trader participation and enhancing market pricing efficiency. Under the arrangement, participating traders received portions of reward pools proportional to their trading activity. The exchange has now filed notice with the CFTC that this rewards structure will cease operations by mid-October, accelerating a sunset date originally scheduled for late 2027.
The scrutiny centers on trading patterns in Kalshi's ether perpetual futures contracts, where investigators documented recurring transactions clustered around the $5,500 mark. These standardized trades, concentrated over roughly one month, generated more than $5 billion in reported volume. Market analysts have questioned whether such mechanical trading patterns represent genuine market activity or potentially problematic circular trading incentivized by the reward structure itself.
The termination could signal how cryptocurrency exchanges balance growth incentives against regulatory expectations. If volume-based reward programs are found to encourage non-genuine trading, exchanges industry-wide may face pressure to restructure incentive models, potentially affecting trading dynamics and liquidity provision. Regulators evaluating prediction market platforms may use this incident to refine oversight frameworks. Traders and market participants could experience reduced incentive opportunities, though this may ultimately create cleaner price discovery if artificial volume inflation is eliminated.