How to monitor and predict smart money in prediction markets? Gate Smart Money Tracking and Anomaly Alerting Features Explained

The prediction market is undergoing an exponential jump from the edge to the mainstream. In Q1 2024, global prediction market trading volume was about $440 million. By Q1 2026, that figure surged to about $75 billion. In May 2026, monthly trading volume hit $29.4 billion. For the week ending June 15, 2026, prediction market trading volume reached $10.8 billion, breaking the $10 billion single-week threshold for the first time.

The rapid expansion of market size creates a real problem: when participants and capital scale up at the same time, how can ordinary traders identify genuinely valuable market signals amid massive amounts of information?

The answer is “smart money monitoring”—a methodology for gaining market insights by tracking high-win-rate traders, large-capital flows, and institutional wallet behavior. Since Gate became the world’s first centralized exchange to integrate Polymarket in March 2026, it has systematically optimized around smart money identification, whale tracking, AI analysis, and real-time trading capabilities, and officially launched the real-time anomaly push feature on July 13, 2026. This article will break down how to track smart money in prediction markets using Gate’s toolset, from two dimensions: monitoring logic and product features.

Core Logic of Prediction Markets: Information Games and Probability Pricing

Prediction markets differ fundamentally from traditional secondary markets. Secondary markets trade the assets themselves, while prediction markets trade “probabilities.” Different users price the same event outcome differently, and prices fluctuate continuously as market sentiment, news changes, capital flows, and odds are adjusted.

This mechanism means prediction markets have extremely high information density. A match, an economic data release, a policy announcement—anything can quickly change market pricing in a short time. Ordinary users often struggle to process large volumes of information in sync, so long-term profitable traders in the market naturally become an important reference for other participants.

From the data, the scale of this information game is expanding rapidly. In Q1 2026, quarterly trading volume in prediction markets reached $109 billion, up 39% quarter-over-quarter, and up 18 times year-over-year. Bernstein analysts estimate full-year 2026成交量 of $240 billion. When a market’s trading volume rises at such a slope, information efficiency itself becomes the most important competitive advantage.

What Is “Smart Money” in Prediction Markets

In traditional financial markets, “smart money” usually refers to capital groups with stronger long-term profitability, higher information processing efficiency, and more mature trading discipline. In prediction markets, the meaning of smart money is more specific—it points to traders who can consistently maintain stable profitability in a high-information-density environment.

Observation dimensions of smart money typically include:

Which accounts are profitable over the long term; which traders take positions before major events; which results whale capital is flowing into; and whether market anomalies are driven by top players.

In a sense, prediction markets are starting to develop a “on-chain smart money tracking” logic similar to crypto derivatives markets. Gate’s product upgrade is precisely productizing this observation system further.

Gate Smart Money Tracking System: From Leaderboards to Behavioral Analysis

User Identification and Labeling System

Gate’s upgraded leaderboard system for prediction markets establishes a clear identification framework for smart money. The system automatically identifies and labels three key user types through algorithms:

Smart Money: traders with stable long-term profitability. This label emphasizes long-term steady profitability rather than short-term breakout gains. Compared with focusing only on accounts with one-time high returns, this dimension is closer to real trading ability.

Sharks: mid- to high-frequency traders who are good at spotting opportunities.

Whales: investors with large capital size.

Users can add quick notes to their priority targets and visit their personal pages to view profit-and-loss curves, position details, and historical trade records. This means prediction markets have evolved from an isolated game platform into a strategy analysis library that is referable and traceable.

Increased Transparency of Trading Behavior

Gate adds profit-and-loss curve displays, the ability to view historical trade records, position change tracking, a top positions module, and multidimensional sorting and filtering functions.

These features enable users to study different traders’ behavior patterns more intuitively. For example: whether a smart money trader is good at sports markets; whether a whale prefers macro events; whether certain accounts frequently position ahead of hot events; and whether a market anomaly is driven by concentrated capital.

As prediction markets continue to financialize, “researching capital behavior” itself has become a new trading approach.

Core Value of Intelligent Capital Tracking

The intelligent capital tracking feature helps users monitor experienced traders, large capital flows, and influential market participants in real time. Users no longer rely solely on public sentiment or speculation from social media; instead, they can directly observe capital flow patterns, trader confidence, and strategic positioning within the prediction market ecosystem.

The system uses the transparency of blockchain data and transaction analytics to evaluate wallet performance. Metrics such as win rate, consistency, timing accuracy, and profit efficiency help determine which traders qualify as smart capital participants.

Real-Time Anomaly Push: Proactively Reaching Users with Capital Flows

On July 13, 2026, Gate’s prediction market officially launched the real-time anomaly push feature. Users can experience it after upgrading the Gate App to v8.27.0.

Feature Mechanism

The feature monitors large buy and sell transactions in prediction markets in real time and automatically aggregates and displays them in an “Anomalies” list. When high-value trades occur, users don’t need to check the order books event by event; they can quickly see which events are receiving concentrated attention from capital, which viewpoints are gaining market approval, and how market sentiment is changing.

Multidimensional Filtering and Custom Alerts

The feature supports filtering across multiple dimensions such as buy/sell direction, trade amount thresholds, and event categories. The system also displays core information including trading users, event markets, trade direction, and trade amount.

Users can subscribe to anomaly alerts based on their needs and customize amount thresholds at the ten-thousand level, hundred-thousand level, or even higher. When qualifying large trades occur, the platform pushes notifications immediately via in-app messages.

Synergy with Smart Money Features

Gate continues to optimize data analysis and strategy assistance capabilities for its prediction market. The smart money feature enables users to identify quality traders through leaderboards, user labels, and personal profiles, and to review their historical trades, positions, and performance.

Combined with the anomaly push feature, users can not only capture large capital flows in real time, but also deeply analyze the market views of quality traders. This “who is trading + what they traded” dual-information structure creates a complete market insight feedback loop.

AI Analysis: Lowering the Information Processing Barrier

In addition to the smart money system and anomaly push, Gate also introduces an AI analysis feature. After entering any prediction event, the AI assistant can automatically provide structured event insights, covering core point summaries, identification of key influencing factors, aggregation of the latest news updates, and the key directions to watch next.

For many users, one of the biggest challenges in prediction markets isn’t the trading itself, but information processing. Adding AI analysis can help users complete information整理 and initial judgment faster.

Gate integrates prediction market hot events, AI wisdom summaries, market data, and trading functions into a single platform to build a complete event research workflow. Users can first browse recent hot topics, then use AI to quickly grasp event background while observing market sentiment and price changes, and finally complete participation in the event.

A Methodology Framework for Prediction Market Monitoring

By combining the product tools Gate provides, monitoring smart money in prediction markets can form a systematic methodology framework:

Layer 1: Identify — Use the leaderboard and user label system to identify different types of core participants such as smart money, sharks, and whales. Focus on long-term profitability rather than a single high return.

Layer 2: Analyze — View the target trader’s profit-and-loss curve, position details, and historical trade records through their personal page. Study which market types they excel in, their positioning cadence, and their exit timing.

Layer 3: Monitor — Use the real-time anomaly push feature to capture large buys, large sells, and concentrated capital flows. Combine with smart money labels to judge whether the anomaly is driven by top players.

Layer 4: Verify — Use AI analysis to quickly obtain event background, influencing factors, and market dynamics. Cross-validate capital behavior with event fundamentals.

The core of this framework is: don’t rely on a single signal. Instead, cross-verify across multiple data dimensions to form a comprehensive judgment of market structure.

Summary

Prediction markets are evolving from “event betting” into a new information trading market. The key to returns is shifting from “guessing the result correctly” to “understanding market structure, capital behavior, and trading cadence better.”

Gate’s systematic upgrades around smart money identification, whale tracking, AI analysis, and real-time trading capabilities—along with the latest real-time anomaly push feature launched in July 2026—are moving prediction markets from simple event wagers toward a professional, data-driven, strategy-oriented trading environment.

For traders seeking an information advantage in prediction markets, understanding the logic of smart money monitoring and mastering Gate’s product tools is becoming an essential foundational capability.

Frequently Asked Questions (FAQ)

Q1: How are Gate’s smart money labels generated?

The system automatically identifies them through algorithms, evaluating multiple dimensions such as traders’ profit-and-loss performance, trading volume, win rate, and consistency. Smart money labels emphasize long-term stable profitability rather than one-time high returns.

Q2: What version is required for the real-time anomaly push feature?

Users need to upgrade the Gate App to v8.27.0 or higher.

Q3: Can the anomaly push alert threshold be customized?

Yes. Users can customize amount thresholds at the ten-thousand level, hundred-thousand level, or even higher based on their needs. When qualifying large trades occur, the platform will send notifications via in-app messages.

Q4: What’s the difference between smart money tracking and anomaly push?

Smart money tracking focuses on identifying and analyzing “who is trading”—the identity, historical performance, and position behavior of high win-rate traders. Anomaly push focuses on monitoring “what they traded”—the large buys and sells and the concentrated capital flows happening in the market. Used together, they form a complete market insight feedback loop.

Q5: What information can the AI analysis feature provide?

The AI assistant can automatically provide core point summaries of events, identify key influencing factors, aggregate the latest news updates, and highlight the key directions that need attention next.

Q6: How large is the trading volume of prediction markets?

In May 2026, global prediction markets’ monthly trading volume reached $29.4 billion. In Q1 2026, quarterly trading volume reached $109 billion. Investment bank Bernstein estimates that full-year 2026 trading volume will reach $240 billion.