Research on Event Contracts in the Crypto Market: Product Types, Market Structure, and a TurboFlow Case Study

Event contracts turn future events, price trends, or specific conditions into contracts with clearly defined rules, allowing participants to express views with limited capital and settle once the agreed condition is triggered. As the underlying assets expand from politics and sports to macro data, business events, and crypto asset prices, the market has gradually formed several product directions: comprehensive prediction markets that handle information aggregation and probability discovery, regulated platforms that strengthen institutional constraints, on-chain protocols that emphasize verifiable execution, and short-cycle products that serve fast, low-friction directional trading.

DefiLlama prediction market category page shows that as of 2026-07-21, the sector's TVL is about US$390 million, and 7-day prediction trading volume is about US$4.1 billion. The expansion in scale has mainly come from two drivers: public questions being transformed into tradable assets, with dispersed information forming prices through real capital; and complex transactions being compressed into intuitive choices such as Yes / No and Higher / Lower, thereby lowering the barriers to understanding and execution. The final quality of the market is reflected in liquidity, quote continuity, settlement reliability, and risk controls.

TurboFlow is an on-chain trading platform for global retail users, combining prediction markets and perpetuals to build a new-generation on-chain trading experience. The platform integrates Event Contracts, tradable in as little as 30 seconds with a minimum of US$2, together with Turbo Perps in a single trading ecosystem. Event Contracts use dynamic payout rates; Turbo Perps offers leverage of up to 1000x in supported markets and discloses two models: fixed fees and profit sharing. According to TurboFlow official financing announcement, TurboFlow completed a US$6 million seed round in 2026, led by Pantera Capital with participation from Susquehanna Crypto and Digital Currency Group (DCG).

# How Event Contracts Are Priced: Probability, Payout, and Expected Value

Traditional prediction markets often use US$1 as the conversion benchmark for a correctly predicted share. Suppose the Yes share for "a certain policy will be passed by the end of the month" is listed at US$0.65; the buyer pays US$0.65. If the event happens, this share pays US$1, generating a gross profit of US$0.35; if the event does not happen, the share expires worthless. US$0.65 is often interpreted as an implied probability of about 65%. This price reflects market consensus under specific rules, liquidity conditions, and participant structure, but it is still affected by bid-ask spreads, capital constraints, hedging demand, and sentiment-driven trading.

Short-cycle price event contracts use binary outcomes, with a more direct payout structure. Users choose the asset, expiry, amount, and direction, while the system records the entry price before comparing it with the settlement price at maturity. The following is a hypothetical calculation: US$10 per trade, fixed payout rate of 89%, and a total of 100 settled trades; assume no ties and temporarily ignore fees, slippage, order limits, and changes in payout rates across different orders. When the prediction is correct, the profit is US$8.9, for a total profit of US$18.9; when the prediction is wrong, the loss is US$10. The theoretical breakeven win rate is 1 ÷ (1 + 89%), or about 52.91%. If the simulated win rate is 53%, corresponding to 53 winning trades and 47 losing trades, the net profit is 53 × 8.9 − 47 × 10 = US$1.7, and profit on total accumulated order amount is about 0.17%. If the simulated win rate rises to 55%, the net profit is US$39.5, and profit on total accumulated order amount is about 3.95%.

This calculation shows that, under the assumption of an 89% payout rate, the theoretical breakeven win rate is about 52.91%. If the above conditions are maintained and the sample size is large enough, a long-term win rate that remains steadily above this level can create positive expected value in simulated results. A 53% win rate is already slightly above breakeven, while 55% creates a clearer profit buffer. Real-world evaluation also needs to take into account the payout rate locked in at order entry, the stability of pricing and settlement, and sufficiently long sample observations. The higher the trading frequency, the more important strategy consistency, execution discipline, and capital management become.

# Four Types of Event Contract Platforms and Their Corresponding Value

From the perspective of product form, operating model, and legal structure, event contract platforms can be broadly divided into four types: comprehensive prediction markets, regulated event contract platforms, on-chain prediction protocols, and short-cycle and hybrid trading platforms. These four types respectively emphasize information aggregation, institutional constraints, verifiable execution, and short-cycle trading experience. This classification is intended to present different product directions and use cases, rather than to rank platforms.

1. Comprehensive Prediction Markets

Comprehensive prediction markets build Yes / No or multi-choice markets around public events in politics, macroeconomics, technology, sports, and more, with cycles typically ranging from a few days to a few months. Polymarket is a representative on-chain platform in this category. Price curves in such markets record how expectations change along with polls, policy documents, or new data; their core value lies in information aggregation and probability discovery. Capital lock-up time, the liquidity of long-tail markets, and the clarity of contract language all directly affect participation efficiency and settlement experience.

2. Managed Event Contract Platforms

Managed event contract platforms operate under specific licenses and jurisdictions, with product listings, customer funds, disclosures, market surveillance, and dispute resolution subject to clearer institutional constraints. The regulatory framework helps improve market integrity and also affects the range of events that can be traded. In March 2026, CFTC issued an advance notice of proposed rulemaking for the prediction markets and solicited comments; in June of the same year, the agency proposed rules for the public interest review process, indicating that event contract regulation in the U.S. is entering a more specific institutional-design phase.

3. On-chain Prediction Protocols

On-chain prediction protocols record collateral, outcome shares, transfers, and redemptions in smart contracts. Public records improve the verifiability of capital flows and settlement, while also making it easier to integrate with wallets, data tools, and other protocols. The reliability of on-chain execution also depends on oracles, exception handling, dispute resolution, governance privileges, and security audits. Contract addresses, audit reports, oracle design, and historical settlement records are foundational materials for evaluating such platforms.

4. Short-Duration and Hybrid Trading Platforms

Short-duration and hybrid platforms focus on price trends over intervals ranging from tens of seconds to hours and may also offer perpetual contracts. Fixed expiries simplify position management, while perpetual contracts meet the needs of trend-following, leverage, and active exits. These two products can share the same account and trading context, covering a broader range of user needs, while still requiring a clear separation of risk budgets: the risk of a single event contract is limited by the principal, whereas perpetual contracts also involve margin, liquidation, funding rates, and leverage sensitivity.

# Business Logic of Market Growth

Event contracts first reduce the cost of understanding and execution. Users can directly turn questions such as "Will the policy be passed?" or "Will the price be higher in 5 minutes?" into trades, and see the expiry, maximum loss, and potential profit before placing an order. As a result, the platform reaches a larger pool of retail investors. A simple interface still requires sufficient education: probabilities, breakeven win rates, and settlement rules are no less important than the operational steps.

Liquidity determines whether the prices users see are trustworthy. Order books rely on buy and sell orders from both sides, automated market makers adjust prices through pools and formulas, while professional market makers maintain quotes based on external markets, volatility, and risk limits. When depth is sufficient, new information can quickly be incorporated into prices and large orders have less impact; when depth is insufficient, even a small amount of capital can materially move quotes. Platform evaluation should examine trading volume, open interest, bid-ask spreads, the capacity of a single order, the concentration of market makers, and quote continuity under extreme conditions.

Settlement is the stage at which event contracts complete the transfer of value. Real-world events are prone to disputes over wording, data sources, and latency rules; price events depend more on order-entry timestamps, index composition, sampling methods, outlier filtering, and data interruption handling. Once expiries are shortened, even a difference of a few seconds can change the outcome. Transparent data sources, tie rules, and dispute-resolution procedures, together with payout ratios, determine user trust.

Platform revenue usually comes from trading fees, settlement fees, liquidity-related fees, data services, or profit sharing. Short-duration products generate activity through higher trading frequency, while perpetual contracts also involve funding costs and liquidation mechanisms. When comparing fee models, users should calculate net results over the full trading cycle, including opening and closing fees, slippage, funding rates, profit sharing, and price impact. The platform’s network effect comes from a feedback loop between more traders, more information, better quotes, and higher attention.

# TurboFlow: The Combination of Short-Duration Event Contracts and Turbo Perps

TurboFlow is an on-chain trading platform for global retail users that combines prediction markets and perpetuals to build a next-generation on-chain trading experience. The platform integrates Event Contracts, tradable in as little as 30 seconds with a minimum of US$2, alongside Turbo Perps in a single trading ecosystem. Event Contracts express short-term price views with smaller amounts of capital, while Turbo Perps support leverage and continuous positions; users can choose the instrument based on their time horizon and risk budget.

TurboFlow Event Contracts have a minimum term of 30 seconds, and the trading board offers expiries such as 30 seconds, 1 minute, 3 minutes, 5 minutes, 15 minutes, and 1 hour, with a minimum entry of US$2. Users select the market, expiry, and amount, then assess whether the price at expiry will be Higher or Lower than the entry price. If the expiry price equals the entry price, the trade is considered a tie, the principal is fully returned, and no fee is charged. The principal of a single entry constitutes the maximum risk for that trade.

Returns are calculated according to the real-time profit rate displayed and locked in at the time of order placement. TurboFlow Event Contracts take prices from a weighted result of multiple external market price sources. The profit rate adjusts flexibly according to market conditions, with professional market makers providing liquidity and continuously optimizing the market-making and price aggregation mechanisms. The specific profit rate is based on the data displayed on the page when the user places an order. Quote level, single-order capacity, and settlement stability together determine the actual trading experience.

Turbo Perps offers leverage of up to 1000x in supported markets. High leverage can improve capital efficiency, but it also significantly increases a position's sensitivity to price movements. In a simplified model that temporarily ignores fees, funding rate, maintenance margin, and slippage, 100x leverage corresponds to an initial margin ratio of 1%, and an adverse price move of about 1% could theoretically bring the loss close to the initial margin; 1000x leverage corresponds to an initial margin ratio of 0.1%, and an adverse move of about 0.1% could produce a similar effect. Actual liquidation is often influenced by maintenance margin, collateral in the account, fees, and real-time market parameters.

official Trading documentation discloses two models: fixed fees and profit sharing. In the fixed-fee model, costs are calculated per trade, with fees for most assets at 4–6 basis points, and costs include the total opening and closing fees paid before entering the order. In the profit-sharing model, orders are matched at oracle price within trading limits; no fees or slippage are charged when opening positions. If the position is profitable, the protocol extracts a portion of the profit based on how far the price moves in the favorable direction; losing trades are not charged this fee. These two models fit different trading frequencies, holding periods, and profit/loss structures.

Turbo Perps references weighted data from major platforms such as Binance, OKX and Bybit; the funding rate is settled every 1–8 hours depending on the asset. Liquidation is triggered when the collateral in the account falls below the position's maintenance margin requirement. The platform also sets automatic deleveraging and maximum profit limits to manage tail risk in liquidity pools and trading pairs. These mechanisms mean that when evaluating a high-leverage position, users need to consider maintenance margin, funding costs, position limits, and potential profit thresholds at the same time.

On the infrastructure side, TurboFlow whitepaper describes the platform network as a Layer 1 compatible with Solana Virtual Machine and built for perpetual contracts. The architecture metrics announced by the project include throughput above 100,000 TPS and latency under 50 milliseconds, reflecting a design focused on high-frequency trading, fast matching, and scalability. The value of the infrastructure will continue to be reflected through mainnet activity, node network, oracle stability, professional market-making capacity, and matching quality during volatile periods.

From a business perspective, TurboFlow's differentiation comes from combining two time frames. Event Contracts serve fast decision-making with low entry barriers, fixed terms, and automated settlement; Turbo Perps provide leverage, continuous positions, and active exit tools. The two products share users, trading context, and infrastructure, helping increase account activity and extend users' lifetime value. Continuous quotes, reliable settlement, tail-risk control in extreme markets, and verifiable technical as well as market data will together support the long-term value of this product combination.

# Platform Evaluation

When evaluating an event contract platform, you can focus on five items: whether the contract definition is clear; whether actual costs can be calculated; whether quotes can remain continuous under normal and volatile conditions; whether the price sources and settlement rules are stable; and whether the capital, contracts, and platform network have verifiable security information. Trading volume, TVL, and user count can only reflect part of the conditions; bid-ask spread, single-order capacity, historical settlements, audit reports, and system outage records are closer to the actual trading quality.

Short-cycle trading also increases behavioral risk. Although the maximum loss of a trade is clear, consecutive orders can still accumulate losses very quickly. Traders should calculate the break-even win rate based on the real-time profit rate, test with statistically meaningful samples using a fixed small amount of capital, and set daily loss limits as well as stop rules for losing streaks. Event contracts and perpetual contracts should use separate risk budgets, and the trade log should at minimum record the market, trade direction, expiry, profit rate, entry reason, and outcome.

# Conclusion

The event contract market is moving toward a more diverse range of underlying assets, more differentiated terms, and more integrated trading entry points. Long-term prediction markets continue to handle information aggregation and probability discovery, short-cycle products provide fast directional trading, and on-chain and regulated platforms are respectively strengthening verifiability and institutional trust. The next phase of competition will focus on market quality: continuous liquidity, transparent pricing, reliable settlement, and responsible risk control.

TurboFlow shows a clear path for a hybrid platform: lowering the barrier to trading with Event Contracts that can be entered with as little as 30 seconds and US$2, while supporting liquidity through professional market-making activity; and providing leverage and perpetual position tools through Turbo Perps, with weighted pricing from multiple sources, funding rates, liquidation, and auto-deleveraging mechanisms to support risk management. Together, these two products create a simple, transparent, and easy-to-use on-chain trading experience. Its long-term value will depend on continuous quotes, reliable settlement, risk controls, and stable infrastructure performance under real market conditions.