Regulatory Moat And Contract-By-Contract Oversight
Sources: 1 • Confidence: Medium • Updated: 2026-04-11 19:41
Key takeaways
- The CFTC repeatedly refused to allow U.S. presidential election contracts for roughly two years, and Kalshi sued the agency over that refusal.
- Kalshi says February trading volume was about $10.4B, roughly 11x higher than six months earlier.
- Kalshi treats insider trading as prohibited when a trader has a duty to keep information confidential (e.g., via a signed confidentiality agreement).
- Kalshi describes its current margining as requiring traders to fully pre-fund positions, which it says makes long-dated risk-selling capital-inefficient for market makers.
- Kalshi says its fee and liquidity-program structure lowers fees for liquidity providers exposed to sniping and raises fees for aggressive takers who snipe.
Sections
Regulatory Moat And Contract-By-Contract Oversight
- The CFTC repeatedly refused to allow U.S. presidential election contracts for roughly two years, and Kalshi sued the agency over that refusal.
- Kalshi was founded in 2019, launched after becoming regulated around 2022, and won its U.S. election lawsuit at the end of 2024.
- Kalshi is CFTC-approved and files every contract with the CFTC, which has 24 hours to stop a contract from listing.
- Kalshi pursued a permission-first strategy because it viewed regulated credibility and safety as prerequisites for mainstream and institutional adoption.
- Kalshi describes achieving 'regulatory market fit' as an iterative process of adapting product and processes to satisfy regulator concerns for non-traditional underlyings and high-frequency contract listing.
- Kalshi argues the government can stop a contract only by making a public-interest finding that it falls within specified prohibited categories such as war, terrorism, or assassination.
Marketplace Scale, Growth, And Distribution Channels
- Kalshi says February trading volume was about $10.4B, roughly 11x higher than six months earlier.
- Kalshi attributes growth to marketplace network effects where more liquidity and market diversity improve retention, increase participation, and drive sharing and organic acquisition.
- Kalshi launched broker distribution via Robinhood and Webull so those brokers can offer access to Kalshi markets.
- Kalshi trades more than $10B per month in prediction contracts.
- Kalshi says roughly 80% of its users primarily consume market-implied odds as an information product rather than actively trading.
- Kalshi reports its direct consumer product (kalshi.com/app) has recently outpaced broker-intermediated growth as organic traffic rises and the brand becomes mainstream.
Integrity, Surveillance, And Category Boundaries
- Kalshi treats insider trading as prohibited when a trader has a duty to keep information confidential (e.g., via a signed confidentiality agreement).
- Kalshi says it will not list certain market categories such as wildfires, war, terrorism, or assassination due to moral considerations.
- Kalshi's policy agenda emphasizes being pro-innovation and pro-regulation, prioritizing fairness and transparency (including banning insider trading and increasing public auditability of trade data) alongside customer protections and education standards.
- Kalshi says it prohibits certain government officials (e.g., members of Congress) from trading on related events such as bills passing.
- Kalshi says it runs surveillance and enforcement that flags suspicious activity and has fined insider offenders at over five times their profits while banning them.
- Kalshi says it refers suspected insider trading cases to the CFTC and that the CFTC receives data on every trade placed on the exchange.
Product Expansion Constraints: Margining And Institutional Workflows
- Kalshi describes its current margining as requiring traders to fully pre-fund positions, which it says makes long-dated risk-selling capital-inefficient for market makers.
- Kalshi's roadmap targets becoming the largest derivatives exchange by expanding market breadth, adding new market structures (futures, swaps, options), improving margin systems, and increasing liquidity.
- Kalshi launched an institutional feature called BlockTrades that allows negotiated trades to be agreed off-screen and then submitted onto the exchange.
- Kalshi says institutional interest can drive it to list new markets (e.g., tariffs and petroleum reserve topics) and those markets then become available to all users.
- Kalshi says it is exploring new derivatives verticals beyond binary contracts, including collectibles (watches and bags) and commodity-like markets such as GPU compute.
Liquidity Engineering And Participant Composition
- Kalshi says its fee and liquidity-program structure lowers fees for liquidity providers exposed to sniping and raises fees for aggressive takers who snipe.
- Kalshi splits liquidity support between long-tail markets that require explicit market-maker incentives and major markets where market makers are mainly incentivized via fee rebates tied to uptime and spread/size requirements.
- Kalshi reports traditional institutional market makers account for less than 5% of matched maker liquidity on the platform, and over 2,000 people participate in market making.
- Kalshi claims prediction-market liquidity is unusually peer-driven because many markets are best priced by dispersed non-institutional participants rather than traditional Wall Street market makers.
Watchlist
- Kalshi is engaging research labs to create a benchmark evaluating which AI models predict future outcomes best as part of its Kalshi Research effort.
- Kalshi says it is working with regulators to see if it can enable limited internal, small-dollar employee participation while maintaining compliance separation.
Unknowns
- What is the independently verifiable definition of 'trading volume' used (e.g., notional, matched volume, gross vs net) and how does it break down by market category and maturity/duration?
- How many active traders and active liquidity providers does Kalshi have over time, and what are retention and concentration metrics (top-1%, top-10% share)?
- What are the current fee schedules and rebate rules in measurable terms, and how do changes affect spreads, depth, and realized execution quality across market types?
- What margining changes (e.g., portfolio/partial margin) are planned or allowed under current regulation, and what timeline and rollout constraints exist?
- What is the measured adoption and economic significance of BlockTrades (volume share, sizes, participant types), and does it correlate with new institutional participants?