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

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

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

TurboFlow is an on-chain trading platform for global retail users, combining prediction markets and perpetuals to build a next-generation on-chain trading experience. The platform integrates Event Contracts, which can be traded in as little as 30 seconds with a minimum of US$2, with Turbo Perps in a single trading ecosystem. Event Contracts use dynamic return rates; Turbo Perps offer up to 1000x leverage in supported markets and disclose two models: fixed fees and profit sharing. According to the 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, Return Rate, and Expected Value

Traditional prediction markets often use US$1 as the redemption benchmark for a correct outcome share. Suppose the Yes share for "a certain policy will pass by the end of the month" is quoted at US$0.65; the buyer pays US$0.65. If the event occurs, the share pays out US$1, generating a gross profit of US$0.35; if the event does not occur, the share expires worthless. US$0.65 is usually interpreted as an implied probability of about 65%. This price reflects the market consensus under specific rules, liquidity conditions, and participant structure, but it is still affected by spreads, capital constraints, hedging demand, and sentiment trading.

Short-cycle price event contracts use binary outcomes, with a more direct payoff structure. The user selects the asset, term, amount, and direction, and the system records the entry price before comparing it with the settlement price at expiry. The following is a hypothetical calculation: US$10 per trade, a fixed return rate of 89%, and 100 settled trades in total; assume no ties and temporarily ignore fees, slippage, order limits, and changes in return rates across different orders. When the judgment is correct, the gain is US$8.9, for a total return of US$18.9; when the judgment 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, net profit is 53 × 8.9 − 47 × 10 = US$1.7, and the return on the cumulative order amount is about 0.17%. If the simulated win rate rises to 55%, net profit is US$39.5, and the return on the cumulative order amount is about 3.95%.

This calculation shows that, under the assumption of an 89% return rate, the theoretical breakeven win rate is about 52.91%. If the above conditions hold and the sample size is sufficient, a long-term win rate that remains stably above this level can produce a positive expectation in simulation results. A 53% win rate is already slightly above the breakeven line, while a 55% win rate creates a clearer profit buffer. Actual evaluation should also take into account the return rate locked at the time of order placement, price and settlement stability, and sufficiently long sample observations. The higher the trading frequency, the more important stable strategies, execution discipline, and capital management become.

# Four Types of Event Contract Platforms and Their Respective Value

From the perspectives of product form, operating model, and regulatory structure, event contract platforms can be broadly divided into four categories: comprehensive prediction markets, regulated event contract platforms, on-chain prediction protocols, and short-cycle and hybrid trading platforms. These four categories emphasize information aggregation, institutional constraints, verifiable execution, and short-cycle trading experience, respectively. This classification is intended to present different product paths and use cases, not to rank platforms.

1. Comprehensive Prediction Markets

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

2. Regulated Event Contract Platforms

Regulated event contract platforms operate under specific licenses and jurisdictions, with product listings, customer funds, disclosures, market supervision, and dispute resolution subject to clearer institutional constraints. The regulatory framework helps improve market integrity and also affects the range of tradable events. In March 2026, the CFTC issued an advance notice of proposed rulemaking on prediction markets and sought comments; in June of the same year, it proposed rules for public-interest review procedures, showing that U.S. event contract regulation is entering a more specific stage of institutional design.

3. On-Chain Prediction Protocols

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

4. Short-Cycle and Hybrid Trading Platforms

Short-cycle and hybrid platforms focus on price direction over periods ranging from tens of seconds to hours and may also offer perpetual contracts. Fixed terms simplify position management, while perpetual contracts meet the needs of trend following, leverage, and active exits. The two products can share accounts and trading scenarios, covering a broader range of user needs, while still requiring clear separation of risk budgets: the risk of a single event contract is bounded by principal, whereas perpetual contracts also involve margin, liquidation, funding rates, and leverage sensitivity.

# The 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 pass?" or "Will the price be higher in 5 minutes?" into trades, and see the term, maximum loss, and potential return before placing an order. The platform thus reaches a broader retail audience. A simple interface still requires complete education: odds, breakeven win rate, and settlement rules are just as important as the operational steps.

Liquidity determines whether the prices users see are credible. Order books rely on bids and asks from both sides, automated market makers adjust prices through pools and formulas, and professional market makers keep quoting based on external markets, volatility, and risk limits. When depth is sufficient, new information can quickly enter prices and large orders have a smaller impact; when depth is insufficient, even a small amount of capital can materially change quotes. Platform evaluation should consider trading volume, open interest, spreads, single-order capacity, market maker concentration, and quote continuity during extreme conditions.

Settlement is the stage where event contracts complete value delivery. Real-world events are prone to disputes over wording, data sources, and delay rules; price events depend more on entry timestamps, index composition, sampling methods, outlier filtering, and data interruption handling. Once terms are shortened, even a difference of a few seconds can alter the outcome. Transparent data sources, tie rules, and dispute procedures, together with the return rate, determine user trust.

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

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

TurboFlow is an on-chain trading platform for global retail users, combining prediction markets and perpetuals to build a next-generation on-chain trading experience. The platform integrates Event Contracts, which can be traded in as little as 30 seconds with a minimum of US$2, with Turbo Perps in a single trading ecosystem. Event Contracts express short-term price judgments with a smaller amount of capital, while Turbo Perps support leverage and continuous positions; users can choose the tool based on their judgment horizon and risk budget.

TurboFlow Event Contracts have a minimum term of 30 seconds, and the trading panel offers terms 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, term, and amount, then judge whether the price at expiry will be Higher or Lower than the entry price. If the expiry price is the same as the entry price, the order is treated as a tie, the principal is fully refunded, and no fee is charged. The principal of a single participation forms the maximum risk amount for that order.

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

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

The official Trading documentation discloses two models: fixed fees and profit sharing. In the fixed-fee model, costs are charged per trade, with fee rates for most assets at 4–6 basis points, and costs covering the combined opening and closing fee are prepaid at entry. In the profit-sharing model, execution follows the oracle price within the trading limit; no fee or slippage is charged at opening. If the position becomes profitable, the protocol extracts part of the profit based on the extent to which price moves in the favorable direction; losing trades are not charged this fee. The two models are suited to different trading frequencies, holding periods, and profit-and-loss structures.

Turbo Perps reference weighted data from major platforms such as Binance, OKX, and Bybit; funding rates are settled every 1–8 hours depending on the asset. Liquidation is triggered when account collateral falls below the maintenance margin requirement for the position. The platform also sets automatic deleveraging and a maximum profit cap to manage tail risks in the fund pool and trading pairs. These mechanisms mean that when evaluating high-leverage positions, users need to calculate maintenance margin, funding costs, position limits, and potential profit boundaries at the same time.

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

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

# Platform Evaluation

When evaluating an event contract platform, five items can be checked in a focused way: whether the contract definition is clear; whether real costs can be calculated; whether quotes remain continuous under normal and highly volatile conditions; whether the price source and settlement rules are stable; and whether the funds, contracts, and underlying network have verifiable security information. Trading volume, TVL, and user count can only reflect partial conditions; bid-ask spreads, order capacity, historical settlements, audit reports, and system outage records are closer to the real quality of trading.

Short-cycle trading also amplifies behavioral risk. While the maximum loss on a single trade is clear, consecutive orders can still accumulate losses quickly. Traders should calculate the breakeven win rate based on the real-time return rate, test statistically meaningful samples with fixed small amounts, and set intraday loss limits and stop rules for consecutive losses. Event contracts and perpetual contracts should use separate risk budgets, and trading logs should at least record the market, direction, term, return rate, entry rationale, and outcome.

# Conclusion

The event contract market is moving toward a richer 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 strengthen verifiability and institutional trust, respectively. The next stage of competition will focus on market quality: continuous liquidity, transparent prices, reliable settlement, and responsible risk control.

TurboFlow demonstrates a clear path for a hybrid platform: lowering the trading threshold with Event Contracts that can be entered for as little as 30 seconds and US$2, while supporting liquidity through professional market making; and providing leverage and continuous-position tools through Turbo Perps, with multi-source weighted pricing, funding rates, liquidation, and automatic deleveraging mechanisms supporting risk management. Together, the two products form a simple, transparent, and easy-to-use on-chain trading experience. Its long-term value will depend on continuous quoting, reliable settlement, risk control, and the stable performance of the infrastructure in real market conditions.