Gate Prediction Market has integrated with the Polymarket on-chain prediction market ecosystem, allowing users to participate directly in relevant markets through the Gate App entry point and use USDT from their accounts for transactions. This structure lowers the barrier to entry for on-chain prediction markets, enabling users to access on-chain event trading systems without the need to independently manage complex wallet interactions.
Unlike traditional trading products, prediction markets are not just about "betting on outcomes." Instead, they reflect the market’s expectations for future events through price movements. For example, a sporting event, a policy decision, or a specific price range for a crypto asset can all be transformed into tradable event markets.
As prediction markets evolve, their features are expanding beyond simple event lists to include hot topic discovery, information aggregation, leaderboards, strategy tracking, and trading behavior analysis—shifting prediction markets toward functioning as information trading platforms.

Source: www.gate.com/prediction
Traditional prediction market platforms typically operate under a centralized model, where the platform manages event creation, rule setting, odds determination, and fund settlement. This approach is similar to conventional prediction platforms or centralized event trading systems; the platform acts as both market operator and outcome adjudicator, so users must rely on the platform for settlement and fund management.
In this structure, the platform holds significant control, deciding which events are listed, how outcomes are defined, and when settlements occur. Since the underlying data and trading logic are mainly stored within the platform’s internal systems, regular users cannot directly verify backend status—meaning transparency depends on the platform’s reputation and operational capability.
Traditional platforms also tend to organize events in a fixed manner, typically using static categories like sports, politics, or finance. Users must actively browse these sections to find markets of interest, and the platform seldom plays a role in "hot topic discovery" or "trend aggregation."
Additionally, these platforms generally focus on "single-event participation." After completing a prediction trade, users often lack advanced tools for strategy analysis or market observation. Asset management, trading records, and return displays are usually basic, with few leaderboards, trader tags, or behavioral analytics—making the experience more like a one-off transaction than a continuously evolving trading ecosystem.
One of the main distinctions between on-chain prediction markets and traditional centralized platforms is the underlying structure for trading and fund management. Traditional platforms centrally custody user assets and maintain order and settlement logic via centralized databases, whereas on-chain prediction markets primarily use smart contracts for trade execution and state recording.
On-chain prediction markets allow for public verification of market status, trading records, and fund flows. User trades are recorded directly on the blockchain, and funds are managed by on-chain contracts rather than internal systems. This enhances transparency and reduces reliance on a single platform’s custodial capabilities.
| Comparison | Centralized Prediction Platform (Traditional) | On-Chain Prediction Market | Main Advantages (On-Chain) |
|---|---|---|---|
| Fund Management | Platform centrally holds user assets, managed via database | Smart contracts automate execution, funds managed directly on-chain | Lower custodial risk, improved fund security |
| Trade Execution & Recordkeeping | Relies on internal systems and centralized servers | Trades written to blockchain, executed and settled by smart contracts | Fully transparent, auditable, and verifiable |
| Transparency | Low—processes are not fully public | High—all market status, trades, and fund flows are public | Reduces black-box operations, increases trust |
| Market Openness | Event listing requires platform approval, slower expansion | Open market, high flexibility for event listing | Faster information aggregation, broader coverage |
| Pricing Mechanism | Traditional odds or betting models | Price equals "market-implied probability" (e.g., 0.7 = 70%) | Enables information aggregation and probability trading |
Another key difference is market openness. On-chain prediction markets typically allow for more flexible event listings, functioning as open information markets, while traditional platforms expand more slowly due to the need for approval and unified management.
On-chain prediction markets also differ in pricing mechanisms. Most use event prices to represent "market-implied probability." For example, if a result is priced at 0.7, it suggests the market believes there is a 70% chance of occurrence. This approach shifts prediction markets from traditional betting models toward information aggregation and probability trading.
Polymarket is a leading on-chain prediction market project, known for building an open event trading platform using blockchain and smart contracts. Unlike traditional platforms, Polymarket emphasizes on-chain transparency, non-custodial structures, and global participation—making it a core part of the "InfoFi" (information financialization) movement.
While traditional platforms focus on fixed events, Polymarket covers a wide range including politics, macroeconomics, sports, technology, and crypto assets. The rapid update cycle of on-chain markets enables timely aggregation of global hot topics and market sentiment shifts.
By integrating Polymarket with Gate Prediction Market, a "centralized entry + on-chain market" model is established. Users can easily access on-chain prediction markets via the Gate App, without needing native on-chain wallets or complex interactions—significantly lowering the entry barrier.
This structure not only increases market openness but also enhances hot topic aggregation and market transparency. However, on-chain prediction markets may still face challenges such as liquidity fluctuations, network congestion, and changing regulatory environments, resulting in operational differences from traditional centralized event trading systems.
Traditional platforms generally organize events via fixed columns and manual recommendations, requiring users to navigate or search for markets. This approach often fails to capture real-time market focus in fast-changing environments.
Next-generation prediction markets, such as Gate Prediction Market, now emphasize "hot topic discovery." A key upgrade is the enhancement of search and trend aggregation, positioning the platform as both a trading venue and an information gateway.
The upgraded search system supports fuzzy keyword matching, result highlighting, and categorized recommendations, helping users quickly find relevant events. The "Live & Hot" section aggregates real-time trading hotspots and high-interest events, allowing users to track market sentiment shifts.
Additional features like recent browsing, search history, secondary categories, and breaking news sections further improve users’ ability to follow trending events. Compared to static navigation on traditional platforms, this dynamic trend aggregation structure boosts information discovery efficiency, response speed, and real-time market monitoring.
Traditional prediction platforms typically focus on events, offering limited tools for analyzing trading behavior. Users can make predictions, but have little visibility into other traders’ strategies and lack systematic data tracking.
Gate Prediction Market now strengthens leaderboards, user tags, and strategy tracking. The new leaderboard covers profit/loss, total trading volume, and top profits, displaying key data like position value, total PnL, and trading scale, making market activity more transparent.
This approach turns prediction markets into "strategy data platforms." Users can participate in event trading, observe top traders, analyze trading styles, and use leaderboards to track capital flows and sentiment.
Planned features include Smart Money, whale, and suspected insider tags, as well as PnL curves and historical position trends. These additions enhance behavioral analytics, evolving prediction markets into comprehensive products that combine information discovery, strategy tracking, and market analysis.
While on-chain prediction markets offer transparency and openness, native on-chain interactions are often complex. Users must create wallets, manage private keys, make cross-chain deposits, and understand Gas and confirmation mechanisms—raising the barrier for entry.
Gate Prediction Market streamlines these processes by integrating account systems and product entry points. Users can access markets via the Gate App and trade with USDT from their accounts, avoiding frequent on-chain operations.
The upgraded platform also features categorized browsing, quick filters, one-click order placement, and record filtering, simplifying the trading process. Asset management now supports buy, sell, refund, and claim categories, improving clarity in fund tracking and position management.
In sports prediction markets, new features like spreads, total points, sliding score selection, and quick order placement have been added, reducing the learning curve for complex trades and driving the market toward greater efficiency, lower barriers, and a more interactive experience.
Prediction markets are evolving from traditional betting platforms into modern markets that combine hot topic discovery, information aggregation, probability trading, and strategy tracking. On-chain prediction markets emphasize transparency, non-custodial structures, and global participation, and reinforce market prices as "probability signals."
Projects like Polymarket have strengthened the information aggregation capabilities of prediction markets. By integrating with Polymarket and enhancing features like search, hot topic aggregation, leaderboards, and strategy tracking, Gate Prediction Market further lowers the barrier to entry for on-chain prediction markets.
Looking ahead, prediction markets may become not only tools for event trading but also essential information infrastructure connecting hot topics, market sentiment, and trading behavior.
Gate Prediction Market is integrated with the Polymarket ecosystem, allowing users to access some on-chain prediction markets through the Gate App.
Polymarket uses blockchain and smart contracts for market operation and settlement, providing greater transparency and openness.
In binary outcome markets, price typically reflects the overall market expectation of an event’s probability.
These features help users observe market activity, track trading strategies, and improve information discovery in prediction markets.
On-chain prediction markets may face risks such as regulatory uncertainty, insufficient liquidity, market volatility, and disputes over event outcomes.





