ceasefire: 99.8%. invasion by 2027: 31.5%.

$6.8M wagered on whether the truce becomes permanent.

drone possibly down. deal still up.

bitcoin above $76k by april 9 sitting at 0.1% on polymarket

$495k traded on that contract

hot inflation print keeps fed on hold, which historically drags crypto — but at 0.1%, the downside is already fully priced

View on Polymarket

down from 50+ daily under normal operations.

hormuz normal by april 30: 22.5%. $5.3M wagered.

strait reopened. capacity cut 70%.

View on Polymarket

israel struck lebanon, killing 200+, wounding 1,200+ — but spain's response signals diplomatic pressure, not escalation toward a supply shock

12pt move on $548k volume, market repricing away from the extreme upside scenario

25.5% still leaves room, but the geopolitical read here is cooling fast

View on Polymarket

36.5 point gap on the same outcome.

$2.1M wagered.

world no. 1 priced as a longshot on one platform, coin flip on the other.

Prediction markets processed over $200 billion in trading volume in the past 12 months. Two years ago, that number was under $5 billion. What changed, how do these markets actually work, and should you be paying attention?

This guide covers everything from basic mechanics to advanced trading strategies, backed by real data from every major platform.

What Are Prediction Markets?

Answer: Prediction markets are exchanges where you buy and sell contracts based on the outcome of real-world events. Contract prices reflect the crowd's estimated probability of each outcome. A share priced at $0.65 implies a 65% chance that event occurs. If you are right, the share pays $1.00. If wrong, it pays $0.00.

The concept is not new. The modern version traces back to 1988, when three economists at the University of Iowa launched the Iowa Electronic Markets to test whether a market could predict election outcomes better than polls. Between 1988 and 2004, IEM prices outperformed traditional polls roughly three-quarters of the time.

Early web platforms like Intrade expanded the idea to global events, but regulatory friction shut most of them down. The blockchain era brought Augur in 2018, which solved the trust problem through smart contracts but struggled with slow settlements and expensive gas fees.

The real inflection point arrived in 2024. Polymarket attracted $9 billion in volume during the U.S. presidential election cycle. By 2025, Polymarket and Kalshi combined for $40 billion in annual volume. And in the first quarter of 2026, monthly volume crossed $21 billion, according to TRM Labs.

Prediction markets are no longer an experiment. Google Finance now displays prediction market data alongside stock prices. Robinhood and Coinbase both offer event contracts to their millions of users. The question is no longer whether prediction markets matter, but how to use them.

[LINK: History of Prediction Markets]

How Do Prediction Markets Work?

Answer: You buy shares that pay $1.00 if an event happens and $0.00 if it does not. The share price between $0.01 and $0.99 represents the market's probability estimate. Every YES share is paired with a NO share, and together they always equal $1.00, ensuring the system stays fully collateralized with zero counterparty risk.

The basic mechanics

1. A market is created around a specific question with a defined resolution date and criteria. Example: "Will the Fed cut rates in June 2026?"
2. You buy shares on the outcome you believe is likely. If YES shares trade at $0.40, you pay $0.40 per share.
3. Prices move as new information arrives and traders adjust their positions. If a strong jobs report drops, YES might fall to $0.25.
4. The market resolves when the event occurs. Winning shares pay $1.00 automatically. Losing shares pay $0.00.

You do not need to hold until resolution. Shares can be sold at any time at the current market price, just like stocks.

Order types and execution

Most platforms use a central limit order book (CLOB) to match buyers and sellers. You can place:

• Market orders that fill immediately at the best available price
• Limit orders that sit on the book until someone matches your price

On Polymarket, limit orders (maker orders) are free, while market orders (taker orders) pay fees. This incentivizes liquidity and tighter spreads.

Resolution and settlement

Polymarket uses UMA's optimistic oracle for resolution. Anyone can dispute an incorrect outcome. Kalshi, as a CFTC-regulated exchange, uses internal determination based on authoritative data sources.

Settlement is typically instant on Polymarket (blockchain-based) and within one business day on Kalshi (traditional clearing).

[LINK: How Prediction Market Pricing Works]

What Are the Biggest Prediction Market Platforms?

Answer: Polymarket and Kalshi dominate, controlling approximately 97.5% of total trading volume in 2025. Polymarket leads in crypto-native and international markets. Kalshi leads in U.S.-regulated event contracts. Metaculus and PredictIt serve niche but important roles in forecasting research and political markets.

Platform comparison (April 2026)

Polymarket

The largest prediction market by user count and global reach. Built on Polygon (Ethereum Layer 2), which keeps transaction costs below $0.01. Polymarket acquired licensed derivatives exchange QCX for $112 million to re-enter the U.S. market through a regulated structure. Active markets span politics, crypto, economics, sports, entertainment, and science.

Kalshi

The first CFTC-regulated prediction market exchange. Kalshi's 2025 trading volume hit $23.8 billion, a 1,108% year-over-year increase. The platform processed 97 million trades across the year. December 2025 alone set a monthly record of $6.38 billion. Kalshi is accessible through standard banking rails with no crypto knowledge required.

Metaculus

A non-monetary forecasting platform focused on calibration and long-term questions. Metaculus hosts over 10,000 active questions and has run high-profile competitions including the Bridgewater x Metaculus 2026 Competition with a $30,000 prize pool. It serves as an important accuracy benchmark for prediction markets.

PredictIt

Originally an academic project run by Victoria University under a CFTC no-action letter, PredictIt survived a 2022 shutdown attempt and now operates under an amended 2025 agreement with the CFTC. The former $850 contract cap was raised to $3,500, and the 5,000-person market cap was eliminated. PredictIt focuses exclusively on political and economic events.

New entrants

Robinhood launched prediction markets in 2025, generating $100 million in annualized revenue with over 1 million customers and 11 billion contracts traded. Coinbase added prediction markets to its main app in early 2026, sourcing flow from Kalshi.

[LINK: Polymarket vs Kalshi Comparison] [LINK: Best Prediction Market Platforms Ranked]

How Accurate Are Prediction Markets?

Answer: Academic research shows prediction markets achieve approximately 92.4% overall accuracy across thousands of resolved markets, with well-calibrated probability estimates that outperform polls, expert panels, and statistical models in most contexts. However, accuracy varies significantly by liquidity, time horizon, and market type.

The 2024 election test case

The 2024 U.S. presidential election was the most high-profile accuracy test in prediction market history.

• Polymarket priced Trump at ~58% on November 4, the day before the election
• Polling averages showed a near-toss-up, with several models giving Kamala Harris a slight edge
• Trump won decisively, validating the market's probability assessment

The market was not merely correct about the winner. It was correct about the magnitude. While polls suggested a coin flip, prediction markets priced in a clear Trump advantage that matched the actual outcome.

A University of Cincinnati analysis confirmed that prediction markets outperformed traditional polls in the 2024 cycle. A Vanderbilt study by Clinton and Huang examined $2.4 billion in election market volume and found that PredictIt achieved 93% accuracy on resolved markets, while Kalshi hit 78% and Polymarket 67% (the lower Polymarket number partly reflects its broader market coverage, including lower-liquidity races).

Long-run calibration data

A Duke University study (Page & Clemen, Economic Journal) found that prediction markets are "reasonably well calibrated" when time to expiration is short but show significant bias for events farther in the future.

The Iowa Electronic Markets demonstrated that between 1988 and 2004, market prices outperformed polls about 74% of the time in predicting U.S. elections.

A key nuance: research from Yale found that simple surveys were sometimes as accurate as market prices for geopolitical events, and a combination of market prices plus survey data was more accurate than either alone.

What makes markets accurate (or inaccurate)

[LINK: Prediction Markets vs Polls Accuracy Analysis]

What Can You Trade on Prediction Markets?

Answer: Modern prediction markets cover six major categories: politics, economics, crypto, sports, entertainment, and science/technology. Polymarket alone hosts over 1,500 active markets at any given time, with new markets created daily around breaking news events.

Politics

The category that put prediction markets on the map. Available markets include:

• Presidential elections (2026 midterms, 2028 race)
• Congressional control
• Supreme Court rulings
• International elections and geopolitical events
• Policy outcomes (tariffs, sanctions, legislation)

Economics and finance

• Federal Reserve rate decisions
• GDP growth and inflation targets
• Unemployment figures
• Government shutdown deadlines
• Debt ceiling outcomes

Crypto

• Bitcoin and Ethereum price targets by specific dates
• Regulatory approvals (ETF decisions)
• Protocol upgrades and milestones
• Market capitalization benchmarks

Sports

Kalshi and Robinhood have expanded aggressively into sports event contracts. Available markets include game outcomes, player milestones, and season results. Robinhood rolled out NFL parlay and prop bets through its prediction markets platform in December 2025.

Entertainment and culture

• Award show winners (Oscars, Grammys)
• Box office performance
• Viral moments and social media milestones

Science and technology

• AI capability benchmarks
• Space mission outcomes
• Climate data (temperature records, natural disasters)
• Public health milestones

[LINK: Best Prediction Markets to Trade Right Now] [LINK: Prediction Market Categories Explained]

Are Prediction Markets Legal?

Answer: In the United States, prediction markets operate under CFTC (Commodity Futures Trading Commission) oversight as "event contracts." Kalshi is a fully licensed Designated Contract Market. Polymarket received CFTC approval to resume limited U.S. operations in late 2025. The legal landscape is evolving rapidly, with a major federal-state jurisdictional fight underway.

The federal framework

The CFTC regulates prediction markets as event contracts under the Commodity Exchange Act. In January 2026, CFTC Chairman Michael Selig withdrew a proposed ban on political and sports event contracts and announced plans for new rules establishing "clear standards" for the industry.

Key regulatory milestones:

• 2020: Kalshi receives CFTC approval as a Designated Contract Market
• 2022: CFTC attempts to shut down PredictIt (later reversed by courts)
• 2024: Federal court rules in Kalshi's favor, holding that political event contracts are not "gaming"
• 2025 (Jan): Kalshi begins offering sports event contracts; CFTC takes no enforcement action
• 2025 (Sep): CFTC issues no-action letter to Polymarket
• 2025 (Dec): Polymarket approved for limited U.S. operations through registered intermediary
• 2026 (Jan): CFTC Chairman withdraws proposed ban, signals pro-market stance
• 2026 (Apr): Trump administration sues three states (Illinois, Connecticut, Arizona) over attempts to regulate prediction markets under state gambling laws

The federal vs. state battle

The biggest legal question in 2026 is jurisdiction. Several states have argued that prediction markets, particularly sports contracts, fall under state gambling regulations. A federal appeals court ruled that the CFTC has exclusive jurisdiction over CFTC-regulated exchanges, preempting state authority. The Trump administration reinforced this position by filing federal lawsuits against states attempting independent regulation.

However, one Massachusetts court issued a preliminary injunction against Kalshi sports contracts in the state, showing the fight is far from settled.

Polymarket's U.S. status

Polymarket previously faced a CFTC enforcement action that required it to restrict U.S. access. The platform acquired QCX for $112 million to operate through a regulated structure. U.S. users can now access select markets through Polymarket's registered U.S. exchange with compliance requirements including KYC verification.

International access

Outside the United States, prediction market regulation varies widely. Polymarket's international platform remains accessible in most jurisdictions without restrictions. Kalshi is U.S.-only.

[LINK: Prediction Market Regulation State-by-State Guide] [LINK: Is Polymarket Legal in the US?]

How Do You Get Started Trading Prediction Markets?

Answer: You can place your first trade in under 10 minutes on most platforms. Kalshi accepts standard bank deposits and requires no crypto knowledge. Polymarket requires USDC (a dollar-pegged stablecoin) but accepts credit card deposits directly. The minimum trade on both platforms is approximately $1.

Step-by-step: Getting started on Kalshi

1. Create an account at kalshi.com. You will need to verify your identity (U.S. residents only).
2. Fund your account via ACH bank transfer (free), debit card (2% fee), PayPal, or Venmo.
3. Browse markets by category: politics, economics, sports, crypto, weather, and more.
4. Place a trade. Select YES or NO on a market, choose your order type (market or limit), and enter your amount.
5. Monitor and trade. You can sell your position at any time before resolution or hold until the outcome is determined.

Step-by-step: Getting started on Polymarket

1. Create a wallet at polymarket.com. You can use email login or connect an existing crypto wallet.
2. Deposit funds. Buy USDC directly with a credit card or bank transfer through the platform. You can also deposit USDC from a crypto exchange.
3. Browse markets. Polymarket lists over 1,500 active markets across all categories.
4. Place a trade. Select a market, choose YES or NO, set your price (limit order) or accept the current price (market order), and confirm.
5. Manage positions. The portfolio page tracks your open positions, profit/loss, and available balance.

Tips for beginners

• Start small. Use $20-50 to learn the mechanics before scaling up.
• Understand the spread. The difference between the best bid and ask is a real cost. In thin markets, spreads can be 5-10%.
• Use limit orders. On Polymarket, limit orders are free. On Kalshi, maker fees are lower than taker fees.
• Read the resolution criteria. Every market has specific rules about what counts as a YES outcome. Ambiguous resolution is the most common source of disputes.
• Check the calendar. Many markets have specific resolution dates. An event can be "likely" but still months away, which affects share pricing.

[LINK: Polymarket Beginner's Guide] [LINK: Kalshi Beginner's Guide]

What Are the Best Prediction Market Strategies?

Answer: The most reliable strategies range from basic probability assessment to cross-platform arbitrage. Research shows that only 30% of prediction market traders are profitable, but skilled traders show persistent outperformance over time. The edge comes from information speed, probability calibration, and structural arbitrage rather than gut instinct.

Basic strategies

1. Identify mispriced probabilities

The simplest strategy: find markets where the price does not reflect the actual probability. If a Fed rate cut is trading at 30% but economic data suggests 50%, the share is underpriced.

Keys to finding mispricing:

• Compare prediction market prices to polling data, expert forecasts, and base rates
• Look for markets that have not yet reacted to breaking news
• Check multiple platforms for price discrepancies on the same event

2. Trade the resolution window

Markets often misprice the timing of information. A share at $0.60 six months before resolution may trade at $0.85 two weeks before resolution even if the underlying probability has not changed. Time decay works differently in prediction markets than in options. Buying early when you have conviction can capture both the probability shift and the time premium.

3. Portfolio diversification

Instead of concentrating on a single market, spread capital across uncorrelated events. A loss on one political market may be offset by a win on an economic market. [LINK: Prediction Market Portfolio Strategy]

Intermediate strategies

4. Cross-platform arbitrage

Different platforms sometimes price the same event differently. If Polymarket shows 55% and Kalshi shows 48% on the same outcome, a spread exists. Buying on the cheaper platform and selling on the more expensive one locks in profit regardless of the outcome.

However, this strategy has become extremely competitive. A 2025 academic paper found that arbitrage traders extracted roughly $40 million from Polymarket in a 12-month period. By 2026, 14 of the 20 most profitable wallets on Polymarket are bots running automated arbitrage.

5. Logical relationship arbitrage

Related markets must be logically consistent. If "Republican wins presidency" trades at 50% but "Trump wins presidency" trades at 55%, that is a logical impossibility (Trump winning implies Republican winning). Buying NO on Trump at $0.45 and YES on Republican at $0.50 exploits the inconsistency.

6. YES+NO underprice arbitrage

In a binary market, YES + NO should always equal $1.00. When the combined price dips below $1.00, buying both sides guarantees a profit. If YES trades at $0.45 and NO at $0.52, you pay $0.97 and receive $1.00 at resolution. This is a risk-free 3% return. These opportunities are rare and fleeting--most are captured by bots within seconds.

Position sizing

• Never risk more than 5-10% of your portfolio on a single market
• Size inversely to uncertainty. Higher-conviction trades get larger positions. Long-shot bets (sub-20%) get smaller allocations.
• Account for liquidity. In thin markets, your order itself moves the price. If you cannot exit without significant slippage, reduce your size.

[LINK: Advanced Prediction Market Strategies] [LINK: How to Find Mispriced Prediction Markets]

What Are the Risks of Prediction Markets?

Answer: The three primary risks are market manipulation in thin-liquidity markets, regulatory uncertainty across jurisdictions, and platform-specific operational risks. Despite explosive growth--volume up 2,800% year-over-year in some segments--prediction markets remain structurally immature compared to traditional financial markets.

Market manipulation

Thin liquidity is the most persistent vulnerability. In low-volume markets, a single large order can move prices significantly, distorting the "wisdom of crowds" signal that gives prediction markets their value.

Documented examples include:

• UMA token manipulation (2025): UMA governance tokens were used to sway a vote on a Ukraine mineral deal market, artificially settling a $7 million contract
• Insider trading: Three newly created wallets exploited non-public information to secure $630,484 in profits on a single market
• Whale distortion: A single trader's $2 million loss on Polymarket demonstrated how large positions in thin markets can create cascading price dislocations

Regulatory risk

The legal status of prediction markets varies by jurisdiction and changes frequently. The ongoing federal-state battle creates uncertainty for traders in states where local regulators take an aggressive stance. Platform access could change with a single court ruling.

Liquidity risk

Despite record volumes at the aggregate level, individual markets vary enormously. The top 50 markets may have millions in open interest, while long-tail markets might have only a few thousand dollars. Selling a large position in a thin market means accepting significant slippage.

Platform risk

• Smart contract risk (Polymarket): While audited, the underlying smart contracts carry inherent risk
• Resolution disputes: Markets occasionally resolve in unexpected ways due to ambiguous criteria
• Counterparty risk: On centralized platforms, your funds are held by the exchange

Psychological risks

Prediction markets resemble gambling more than traditional investing. The binary nature, rapid feedback loops, and feeling of "being right" can encourage overtrading and poor risk management.

[LINK: Prediction Market Risk Management Guide]

What Is the Future of Prediction Markets?

Answer: The prediction market industry is on pace to process $200-325 billion in annual volume by end of 2026, driven by three forces: AI agent participation, institutional integration, and mainstream platform distribution. With Google Finance displaying market data, Robinhood and Coinbase distributing contracts, and the CFTC signaling a permissive stance, prediction markets are entering a phase of rapid normalization.

AI agents are reshaping market structure

This may be the most important trend of 2026. AI trading agents now account for a disproportionate share of profitable activity on prediction markets. The Olas Polystrat agent executed over 4,200 trades on Polymarket within a month, achieving returns as high as 376% on individual trades.

The numbers tell the story: 14 of the 20 most profitable wallets on Polymarket are bots. If the pattern continues, prediction markets may follow the trajectory of forex and crypto exchanges--a transition from human speculation toward machine-driven liquidity and price formation.

For human traders, this means competing on information and judgment where AI agents still lack edge (geopolitics, local knowledge, breaking news interpretation) rather than on speed.

Institutional adoption and mainstream distribution

Three developments are accelerating institutional engagement:

1. Google Finance integration (November 2025): Users can now view prediction market probabilities alongside stock data. Google categorized prediction markets as finance, not gambling, a significant legitimacy signal.

2. Brokerage distribution: Robinhood's prediction markets generated $100 million in annualized revenue with over 1 million customers by late 2025. Coinbase followed with its own launch in January 2026.

3. Institutional data feeds: Investment teams are incorporating prediction market data into research workflows. Bridgewater's partnership with Metaculus for its 2026 forecasting competition signals hedge fund interest.

What to watch in 2026-2027

The industry's growth from $5 billion in 2023 to a projected $200+ billion in 2026 represents a 40x expansion in three years. Whether that pace continues depends on regulatory clarity, platform reliability, and whether prediction markets can maintain their accuracy edge as participation scales.

[LINK: AI Trading Agents in Prediction Markets] [LINK: Prediction Market Trends 2026]

Frequently Asked Questions

Can you make money on prediction markets?

Yes, but most traders do not. Research shows that only 30% of prediction market traders earn positive profits, and this share decreases over time. However, skilled traders show persistent profitability, particularly those who specialize in specific categories (politics, crypto, macro) and use disciplined position sizing. Prediction markets are not passive income. They reward active research and probabilistic thinking.

Are prediction markets the same as sports betting?

No, though the line is blurring. Prediction markets are regulated by the CFTC as event contracts (financial instruments), while sports betting is regulated by state gaming commissions. The key legal distinction: the CFTC considers prediction markets to be tools for "price discovery" and information aggregation, not gambling. However, as Kalshi and Robinhood expand into sports contracts, this jurisdictional tension is actively being litigated.

How are prediction market winnings taxed?

In the United States, prediction market profits are generally treated as short-term capital gains if positions are held for less than a year, or as Section 1256 contracts on CFTC-regulated exchanges (which receive a favorable 60/40 long-term/short-term split). Tax treatment varies by platform and jurisdiction. Consult a tax professional for your specific situation. [LINK: Prediction Market Tax Guide]

What is the minimum amount needed to start?

Both Polymarket and Kalshi allow trades as small as approximately $1. A practical starting point is $50-100, which gives you enough to diversify across several markets while learning the mechanics without risking significant capital.

How are prediction markets different from polls?

Polls measure stated preferences at a single point in time. Prediction markets aggregate real-money bets that update continuously as new information arrives. Critically, prediction markets include "skin in the game"--traders with bad information lose money, creating a natural selection mechanism for accuracy. However, academic research suggests that combining both methods produces the most accurate forecasts.

Can prediction markets be manipulated?

Yes, particularly in thin-liquidity markets. A well-funded actor can temporarily move prices by placing large orders. However, manipulation is generally self-correcting in liquid markets because other traders are incentivized to trade against the manipulated price, profiting when it reverts. The risk is highest in markets with low open interest and few participants.

Glossary of Key Terms

• Event contract: A financial contract that pays out based on whether a specific real-world event occurs.
• Resolution: The process of determining the outcome of a market and distributing payouts.
• Open interest: The total value of outstanding contracts in a market.
• Maker/Taker: A maker places a limit order on the book (adding liquidity). A taker fills an existing order (removing liquidity).
• CLOB: Central Limit Order Book. The matching engine that pairs buyers with sellers.
• Calibration: How closely a market's probability estimates match actual outcome frequencies over time.
• Spread: The difference between the highest bid and lowest ask price. Tighter spreads indicate better liquidity.
• Slippage: The difference between the expected price and the actual execution price, caused by thin order books.

Published April 8, 2026. Last updated April 8, 2026.

This guide is produced by Merlin, an AI-powered prediction market analysis platform. Merlin tracks real-time odds, whale trades, and mispriced probabilities across Polymarket and Kalshi.

Financial Disclaimer: This content is for informational and educational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any financial instrument. Prediction markets carry risk, including the risk of total loss of capital. Past performance of any market, strategy, or platform does not guarantee future results. Trading event contracts involves significant risk and is not suitable for all individuals. You should consult a qualified financial advisor before making any trading decisions. Never trade with money you cannot afford to lose.

Prediction markets processed over $200 billion in volume in the past twelve months, yet research shows only 30% of traders turn a profit. The gap between winners and losers increasingly comes down to one variable: whether you are using AI to estimate probabilities before you trade. Large language models like ChatGPT and Claude can synthesize news, compute base rates, and surface probability gaps that human intuition consistently misses.

This guide provides the exact workflow, prompt templates, and real market examples you need to start using AI for prediction market analysis today.

Why AI Models Are Uniquely Suited for Prediction Market Analysis

The core problem prediction markets solve

Prediction markets aggregate crowd wisdom into a single number: a price between $0.01 and $0.99 that represents the market's estimated probability of an event occurring. When that price diverges from the true probability, a trading opportunity exists. The challenge is calculating the true probability in the first place.

Human traders face three structural disadvantages. First, we anchor on the current market price rather than reasoning independently. Second, we struggle to synthesize information across dozens of sources simultaneously. Third, we exhibit well-documented cognitive biases, including the favorite-longshot bias, where retail participants routinely overpay for low-probability outcomes--paying 15 cents for events that quantitative models price at 3 cents.

What LLMs actually do well

Large language models excel at precisely the tasks that make prediction market analysis difficult for humans. According to ForecastBench research, the gap between the best AI forecasting systems and human superforecasters is narrowing rapidly, with parity projected by late 2026. The best-performing LLM achieved a Brier score of 0.101 compared to superforecasters' 0.081--a meaningful gap, but far smaller than the gap between superforecasters and average forecasters.

Specifically, AI models provide four advantages:

A 2024 study published in ACM Transactions found that humans using LLM assistants for forecasting improved their accuracy by 24-28% compared to control groups. The AI does not need to be perfect. It needs to make you less wrong.

Where the mispricing actually lives

Not all prediction markets are equally efficient. Analysis of 2,847 resolved Polymarket contracts shows that markets with over $100,000 in volume forecast correctly 84% of the time, while thin markets under $10,000 in volume hit only 61% accuracy. The richest opportunities for AI-assisted analysis exist in that middle tier: markets with enough liquidity to trade but not enough attention to be fully efficient.

Step-by-Step: Prompting ChatGPT and Claude for Probability Estimation

The superforecaster framework

The most effective AI prompting strategy mirrors the technique used by superforecasters: start with an outside view (base rate), then adjust with inside information (specific details of the current situation). Philip Tetlock's research at the University of Pennsylvania established that this two-step process--anchoring on base rates before incorporating case-specific details--is the single most important predictor of forecasting accuracy.

AI models follow this framework naturally when prompted correctly. The key is separating the two steps explicitly.

Prompt Template 1: Base Rate Estimation

Use this prompt when you first encounter a market and want an independent probability estimate before looking at the current price.

You are a calibrated forecaster. I need a probability estimate for
the following question:

"[EXACT MARKET QUESTION FROM POLYMARKET/KALSHI]"

Resolution date: [DATE]
Resolution criteria: [PASTE FROM MARKET PAGE]

Step 1 - Outside view: What is the historical base rate for this
type of event? Find the most relevant reference class and compute
the frequency.

Step 2 - Inside view: What specific factors in the current situation
would cause you to adjust the base rate up or down? List each factor
with its directional impact.

Step 3 - Final estimate: Provide your probability estimate as a
range (e.g., 60-70%) and explain which factors create the most
uncertainty.

Important: Do NOT search for the current market price. I want your
independent estimate before anchoring on the crowd.

This prompt structure matters. By explicitly instructing the model not to reference the current market price, you avoid the most common failure mode: the AI simply regurgitating the consensus rather than reasoning independently.

Prompt Template 2: Market Price Challenge

Use this after you have the AI's independent estimate and want to compare it against the current market price.

The current market price for "[MARKET QUESTION]" is [X]%.

My independent analysis (using base rates and current information)
suggests the probability is [YOUR/AI ESTIMATE]%.

Play devil's advocate. Give me:
1. The three strongest arguments FOR the current market price being
   correct
2. The three strongest arguments AGAINST it (supporting my estimate)
3. What specific information, if revealed in the next 30 days, would
   most change the probability?
4. Your updated probability estimate after considering both sides

Be specific. Cite data points, not generalities.

Prompt Template 3: Multi-Market Correlation Check

This template identifies logical inconsistencies across related markets, which represent some of the most reliable mispricing signals.

Here are several related prediction markets on [PLATFORM]:

Market A: "[Question]" — Current price: [X]%
Market B: "[Question]" — Current price: [Y]%
Market C: "[Question]" — Current price: [Z]%

Analyze these markets for logical consistency:
1. Are the probabilities mutually compatible? (e.g., if A implies B,
   then P(A) cannot exceed P(B))
2. Do any conditional relationships exist that constrain the
   probabilities?
3. Identify any arbitrage or mispricing across these related markets.
4. Which single market is most likely mispriced, and in which
   direction?

ChatGPT vs. Claude: Which model to use

Both models work for prediction market analysis, but their strengths differ in ways that matter for specific tasks.

The most effective approach, used by top Polymarket traders, is running the same market through multiple models and looking at the consensus. This multi-model technique adds 15-20 minutes to analysis but significantly improves calibration accuracy.

It is worth noting a critical limitation here: neither ChatGPT nor Claude has real-time access to live prediction market orderbook data unless you provide it. For live price feeds and automated monitoring, purpose-built tools like merlin.trade track real-time odds, whale trades, and price movements across Polymarket and Kalshi, providing the raw data that AI models need to generate useful analysis.

Case Studies: Real Markets Where AI Could Identify Mispricing

Case Study 1: U.S. Recession by End of 2026

As of early April 2026, Polymarket prices U.S. recession by end of 2026 at approximately 30% YES. This is a textbook case for AI-assisted base rate analysis.

The AI approach:

Using Prompt Template 1, a well-prompted Claude or ChatGPT session would begin with the outside view. The base rate for U.S. recessions since 1945 is roughly one every 6-7 years, and the U.S. last entered recession in 2020. That base rate alone suggests a 15-20% annual probability in any given year.

The inside view adjustments push the number higher: Q4 2025 GDP slowed to 1.4% annualized, tariff policy uncertainty has spiked, and the yield curve inverted for a prolonged period in 2023-2024. But strong labor data--March 2026 nonfarm payrolls came in at 178,000 versus expectations of 59,000, with unemployment dipping to 4.3%--and steady inflation at 2.4% year-over-year push back toward the base rate.

A calibrated AI estimate would likely land in the 25-35% range, suggesting the market price of 30% is approximately efficient. This is valuable information: it tells you to skip this market and look elsewhere. Knowing when a market is fairly priced saves capital for genuine mispricings.

Case Study 2: Fed Rate Decisions

The April 2026 Fed decision market prices "no change" at 98%, with the fed funds rate at 3.50-3.75%. This is a market where AI analysis confirms extreme confidence is justified.

But the more interesting analysis applies to the June and September meetings, where uncertainty is significantly higher. An AI model prompted with the full Taylor Rule framework, current inflation data, employment figures, and the Fed's own dot plot can generate probability distributions across multiple outcomes (hold, 25bp cut, 50bp cut) that may diverge from market pricing.

Key insight: AI models are particularly effective at identifying conditional mispricings--markets where the probability is correct given current information but fails to account for realistic scenario branching. For example, a recession scenario that the market prices at 30% would dramatically change Fed rate expectations, but the rate decision markets may not fully incorporate that tail risk.

Case Study 3: Weather and Data-Driven Markets

One of the most documented sources of prediction market alpha comes from weather markets. A former NOAA systems developer built an automated system that enters positions on Polymarket weather markets in the $0.01 to $0.10 range every six hours, before broader participants react to updated GFS and ECMWF forecast data. The system turned $1,000 into $79,000.

This illustrates a broader principle: AI has the largest edge in markets where the outcome depends on quantifiable data that updates frequently. Weather, economic indicators, and sports statistics all fall into this category. Markets driven by human judgment and geopolitical dynamics--where context is sparse and ambiguous--remain harder for AI to crack.

Research from the ForecastBench tournament confirms this pattern: AI models perform notably better on quantitative questions like weather and sports, but struggle with geopolitical judgment where data is sparse.

Case Study 4: The Longshot Bias in Practice

Kalshi's contract prices display a systematic favorite-longshot bias, where contracts with low prices win less often than required for them to break even on average, while highly priced contracts offer better value than their odds suggest.

An AI model can exploit this systematically. Prompt an LLM to estimate the probability of a Kalshi contract currently trading at $0.08 (8%). If the model consistently returns estimates in the 2-4% range across multiple longshot markets, selling those contracts becomes a statistically profitable strategy over a large enough portfolio.

This is not a single-trade edge. It is a portfolio strategy that requires discipline and diversification. Running 50 such analyses and building a basket of short-longshot positions is exactly the kind of systematic workflow where AI makes the process feasible.

Building a Systematic Workflow: From AI Analysis to Trade Execution

The daily scanning process

Professional prediction market traders do not analyze markets randomly. They build a repeatable daily workflow that surfaces opportunities efficiently. Here is a framework that combines AI analysis with real-time data.

Step 1: Generate the watchlist (10 minutes)

Start by identifying markets with the right characteristics for AI analysis:

• Sufficient liquidity ($10,000-$500,000 in volume)--liquid enough to trade but not so efficient that the edge is gone
• Resolution within 30-90 days--short enough for useful analysis, long enough for price correction
• Recent significant news that the market may not have fully absorbed

Tools like merlin.trade automate this step by continuously scanning Polymarket and Kalshi for price movements, whale trades, and markets where probability shifts exceed 10 percentage points. The Polymarket Gamma API also provides free, unauthenticated access to market data for those building custom tools.

Step 2: Run independent probability estimation (20-30 minutes)

For each market on your watchlist, use Prompt Template 1 to generate an independent AI estimate before checking the current price. Record your estimates in a spreadsheet alongside the market price. Any gap exceeding 10 percentage points warrants deeper investigation.

Step 3: Challenge and stress-test (15 minutes per candidate)

For markets where you have identified a potential mispricing, use Prompt Template 2 to challenge your own thesis. The goal is not to confirm your estimate but to identify what you might be missing. Research shows that the best forecasters update their predictions frequently and gradually based on new information, rather than making large bets on single analyses.

Step 4: Cross-reference with market structure data

Before executing a trade, check:

• Order book depth: Can you enter and exit at reasonable prices?
• Recent whale activity: Has a large trader recently moved the price? If so, the "mispricing" may be informed rather than erroneous.
• Related markets: Use Prompt Template 3 to check for logical consistency with correlated markets.

Step 5: Size and execute

Position sizing should reflect your confidence level and the market's liquidity. A practical framework:

Never allocate more than 10% of your portfolio to a single market, regardless of conviction. The Olas Polystrat agent, which executed over 4,200 trades in a single month and achieved individual-trade returns as high as 376%, maintains its edge through diversification across hundreds of small positions, not through large concentrated bets.

Tracking and calibration

The most important step is one most traders skip: recording your predictions and measuring accuracy over time. After 50-100 tracked predictions, you will know whether your AI-assisted process is calibrated. If events you estimate at 70% are actually occurring 55% of the time, you have an identifiable systematic bias you can correct.

Build a simple tracking sheet:

Over time, this record becomes more valuable than any individual trade.

The Limitations: Where AI Probability Estimation Breaks Down

No responsible guide to AI-assisted trading can omit the failure modes. Understanding where AI models fail is as important as knowing where they succeed. Research consistently shows that acknowledging limitations increases the reliability of the overall analysis--and this applies to both the AI's output and your own decision-making process.

Limitation 1: Training data cutoffs and stale information

LLMs are trained on data up to a specific date. Even models with web browsing capabilities may miss breaking news that is minutes or hours old. In prediction markets, where prices react to information in real time, a 24-hour information lag can be the difference between a profitable trade and an expensive mistake.

Mitigation: Always supplement AI analysis with live data feeds. Use the Polymarket Data API, news aggregators, and real-time monitoring tools to ensure your analysis reflects current information. The AI provides the analytical framework; you provide the freshest data.

Limitation 2: Black swan events and tail risks

AI models trained on historical data systematically underweight events that have never happened before. A model computing base rates for geopolitical events will not adequately price a genuinely unprecedented scenario because, by definition, the reference class is empty.

The ForecastBench data illustrates this clearly: superforecasters outperform AI by nearly 50% on market-related questions (Brier score 0.40 vs. 0.59) precisely because these questions often involve judgment calls where data is thin and context matters enormously.

Mitigation: Use AI for the quantitative backbone of your analysis, but apply your own judgment for tail risk scenarios. If a market depends on a single binary decision by a head of state with no historical precedent, treat the AI estimate as one input, not the answer.

Limitation 3: Hallucination and false confidence

LLMs sometimes generate plausible-sounding statistics that are fabricated. In a domain where precision matters--where a 5-percentage-point difference can mean the difference between a profitable and losing trade--hallucinated data points are dangerous.

A Diplotic analysis found that AI chatbots suffer from "significant reasoning failures, hallucinations, and outdated information" when making market predictions.

Mitigation: Verify every specific statistic or data point the model cites. Cross-reference with primary sources. If the model claims "the base rate for government shutdowns is 40%," check the actual historical record before using that number.

Limitation 4: Correlation is not causation

AI models identify patterns in data but do not understand causal mechanisms. A model might note that oil prices above $90 per barrel have historically correlated with recessions, but it cannot assess whether the current oil price increase has the same causal pathway. This distinction matters in prediction markets where the resolution depends on causal chains, not statistical correlations.

Limitation 5: Adversarial market dynamics

Prediction markets are adversarial environments. When enough traders use the same AI models with the same prompts, the edge disappears because the AI's output gets priced into the market. AI agents already represent over 30% of wallet activity on Polymarket, and 14 of the 20 most profitable wallets are bots. The easy mispricing opportunities from early 2025 are increasingly competed away.

Mitigation: Customize your prompts, combine multiple models, and supplement AI analysis with information sources that most traders are not using (local news, expert interviews, primary data feeds). The edge comes from unique inputs, not from the model itself.

Tools and Resources

AI Models for Forecasting

Prediction Market Data

Forecasting Research

• ForecastBench -- AI forecasting benchmark tracking LLM accuracy against superforecasters
• Metaculus -- Community forecasting platform with calibration tools and the Spring 2026 AI Benchmark Tournament
• Good Judgment Project -- Phil Tetlock's superforecasting research and training

Monitoring and Alerts

For traders who want to move beyond manual daily analysis, automated scanning tools eliminate the need to check hundreds of markets manually. Merlin monitors Polymarket and Kalshi continuously, flagging markets with 10-point-plus probability shifts, whale trades exceeding $100,000, and resolution events--the exact signals that create the mispricings AI analysis is designed to exploit.

The Bottom Line

AI does not give you a crystal ball for prediction markets. What it gives you is a disciplined framework for estimating probabilities independently, a tool for synthesizing more information than you could process manually, and a check against the cognitive biases that cost most traders money.

The data supports this approach. Humans using LLM assistants improve their forecasting accuracy by 24-28%. AI agents on Polymarket achieve positive returns at more than double the rate of human traders. And the gap between the best AI forecasting systems and elite human superforecasters is projected to close by late 2026.

The workflow is straightforward: scan for opportunity, estimate independently, challenge your thesis, verify your data, size your position, and track your results. The traders who integrate this process consistently will have a measurable edge over those relying on intuition alone.

The tools are available today. The question is whether you will use them.

Published April 8, 2026. Last updated April 8, 2026.

This article is produced by Merlin, an AI-powered prediction market analysis platform that tracks real-time odds, whale trades, and mispriced probabilities across Polymarket and Kalshi. Follow @merlin_predict on Twitter for daily market analysis.

Financial Disclaimer: This content is for informational and educational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any financial instrument. Prediction markets carry risk, including the risk of total loss of capital. Past performance of any market, strategy, or platform does not guarantee future results. AI-generated probability estimates are not guarantees of accuracy and should not be the sole basis for trading decisions. You should consult a qualified financial advisor before making any trading decisions. Never trade with money you cannot afford to lose.

Yes, prediction market winnings are taxable in the United States. Every dollar of profit you earn on Polymarket, Kalshi, Robinhood, or any other prediction market platform must be reported to the IRS, regardless of whether you receive a 1099 form. With prediction market volume exceeding $200 billion in the past 12 months and the IRS increasing its focus on digital asset income, getting your tax obligations right has never been more important.

This guide breaks down every aspect of prediction market taxation for the 2026 tax year: how your gains are classified, what forms to file, how to handle losses, and what changed under new federal law.

Important: This article is for informational purposes only and does not constitute tax, legal, or financial advice. Tax law is complex, and prediction market taxation remains an area of significant ambiguity. Consult a qualified tax professional for guidance on your specific situation.

Are Prediction Market Winnings Taxable?

The short answer is unambiguous: yes. Under IRC Section 61, all income from whatever source derived is taxable unless specifically excluded. Prediction market gains are not excluded. This applies whether you trade on a CFTC-regulated exchange like Kalshi, a crypto-native platform like Polymarket, or a brokerage like Robinhood.

The IRS does not care whether a platform sends you a 1099. The reporting obligation rests entirely with the taxpayer. As of April 2026, the IRS has issued zero formal guidance specifically addressing prediction market contracts -- no Revenue Ruling, no Private Letter Ruling, no FAQ update. That silence does not mean your gains are tax-free. It means the classification is uncertain, which is a very different problem.

In 2025, DCMs (Designated Contract Markets) certified approximately 1,600 event contracts for listing and trading, up from 131 in 2021. With Kalshi processing $23.8 billion in trading volume and Robinhood generating $100 million in annualized prediction market revenue, the IRS has every reason to pay attention. So should you.

The Three Possible Tax Treatments

Because the IRS has not issued specific guidance, tax practitioners generally identify three defensible approaches to classifying prediction market income. Each carries different tax rates, different reporting forms, and different rules for losses. Your choice of classification has real financial consequences.

1. Section 1256 Contracts (60/40 Rule)

This is the most tax-efficient treatment. Under Section 1256 of the Internal Revenue Code, qualifying contracts are marked to market at year-end and taxed under a blended rate: 60% of gains are treated as long-term capital gains and 40% as short-term capital gains, regardless of how long you actually held the position.

For a trader in the 37% federal bracket, this matters enormously. Long-term capital gains are taxed at a maximum of 20% (plus the 3.8% Net Investment Income Tax), while short-term gains are taxed at ordinary income rates up to 37%. The blended effective rate under Section 1256 is significantly lower than ordinary income treatment.

Example: You earn $50,000 in net prediction market profits.

That is a $5,100 difference on the same $50,000, before accounting for the 3.8% NIIT or state taxes.

The catch: Section 1256 applies only to specifically enumerated instruments -- regulated futures contracts, foreign currency contracts, nonequity options, dealer equity options, and dealer securities futures contracts. Prediction market event contracts are not expressly named in the statute. Whether they qualify depends on statutory interpretation that has not been tested in court or confirmed by the IRS.

Furthermore, the Dodd-Frank Act added Section 1256(b)(2)(B), which excludes certain swap contracts from Section 1256 treatment. If the CFTC classifies event contracts as swaps for regulatory purposes, this exclusion could disqualify them from the favorable 60/40 split -- even on a CFTC-regulated exchange like Kalshi.

Bottom line: Section 1256 treatment is the strongest argument for CFTC-regulated platforms (Kalshi, Robinhood event contracts), but it remains legally untested. If you take this position, be prepared to defend it.

2. Ordinary Income (Schedule 1, Line 8z)

The most conservative approach. You report your net prediction market profit as "Other Income" on Schedule 1, Line 8z of your Form 1040. Gains are taxed at your ordinary income tax rate, which ranges from 10% to 37% depending on your bracket.

This approach is unlikely to be challenged by the IRS because it results in more tax, not less. Many CPAs recommend this as the safest filing position given the current regulatory ambiguity.

Net losses under this treatment may be deductible against other income, but the rules are less clear than under Section 1256 or capital gains treatment.

3. Gambling Income

If prediction market contracts are classified as gambling, your winnings are reported as "Other Income" (or on Schedule 1) and taxed at ordinary income rates. But the critical difference is how losses are handled.

Gambling losses can only be deducted if you itemize (Schedule A), and they can only offset gambling winnings -- not other income. Starting in the 2026 tax year, the One Big Beautiful Bill Act (OBBBA) adds a further restriction: you can only deduct the lesser of 90% of your gambling losses or 90% of your gambling winnings for the year.

Example of the OBBBA impact: You win $100,000 and lose $100,000 on prediction markets in 2026. Under prior law, you would break even with no tax owed. Under the OBBBA:

• Gambling winnings reported: $100,000
• Maximum loss deduction: $90,000 (90% of $100,000)
• Taxable "phantom income": $10,000
• Federal tax owed (at 37% bracket): $3,700 on gains that do not actually exist

The Joint Committee on Taxation projects this provision will raise approximately $1.1 billion over 10 years across all gambling activity. For prediction market traders who treat their activity as gambling, this is a significant new cost.

Which Treatment Should You Use?

There is no single correct answer. The right classification depends on the platform you use, how you trade, and your risk tolerance for audit.

Kalshi vs. Polymarket: Tax Treatment Differences

The platform you trade on affects your tax situation in practical ways, even if the underlying legal classification remains the same.

Kalshi

Kalshi is a CFTC-registered Designated Contract Market. This regulatory status has several tax implications:

• Strongest case for Section 1256 treatment. As a CFTC-regulated exchange trading standardized contracts, Kalshi contracts have the closest structural resemblance to regulated futures contracts enumerated in Section 1256.
• Tax forms issued: Kalshi issues 1099-INT (for interest earned on cash balances, if $10+) and 1099-MISC (for referral bonuses, if $600+). However, Kalshi does not issue a comprehensive 1099-B for event contract trades.
• Trade history available: Kalshi provides year-end trade history and P&L reports that you can use to calculate your gains and losses.
• USD-denominated: All trades are in U.S. dollars, which simplifies record-keeping. No crypto conversion calculations are necessary.

Polymarket

Polymarket operates as a crypto-native prediction market built on the Polygon blockchain. The tax implications differ significantly:

• Weaker case for Section 1256. Although Polymarket acquired a CFTC-licensed exchange (QCX) in late 2025, the international platform remains structurally different from a traditional DCM. Section 1256 treatment is harder to justify.
• No tax forms issued. Polymarket does not issue any 1099 forms. The platform does not collect the tax information necessary to generate these forms for most users.
• Crypto layer adds complexity. Trades are denominated in USDC. Depositing fiat to buy USDC, trading USDC for prediction market shares, and withdrawing USDC back to fiat may each create separate taxable events depending on your USDC cost basis.
• Record reconstruction required. You must reconstruct your transaction history from Polymarket's portfolio history, on-chain records (via PolygonScan), or wallet data.

Robinhood

Robinhood offers CFTC-regulated event contracts (sourced from Kalshi's infrastructure). Robinhood states it will not provide 1099s specifically for event contract trades, though event contract activity may appear on your existing Robinhood 1099 alongside stocks, options, and crypto. Robinhood does provide an "Event Contracts Annual Statement," but labels it as not a substitute tax form.

Platform Comparison Table

What Tax Forms to Expect (and Not Expect)

One of the biggest surprises for prediction market traders: most platforms do not send the tax forms you might expect.

Forms You May Receive

• 1099-INT: From Kalshi or Robinhood, reporting interest earned on uninvested cash balances. Issued if interest exceeds $10.
• 1099-MISC: From Kalshi, reporting referral bonuses or promotional credits exceeding $600.
• 1099-B (limited): Kalshi may issue a 1099-B for certain crypto transfer transactions, but this does not cover event contract trades.

Forms You Will Not Receive

• No 1099-B for event contract trades from any major prediction market platform as of the 2025 tax year (filed in 2026).
• No 1099 of any kind from Polymarket. The platform does not collect the information necessary to generate these forms.

What This Means for You

The absence of a 1099 does not eliminate your obligation to report. Under U.S. tax law, all income is reportable regardless of whether a third party reports it to the IRS. Failure to report prediction market income can result in:

• Applicable income tax plus interest from the original due date
• A 20% civil penalty for substantial understatement of income
• A 75% fraud penalty in cases of willful non-compliance

With over 840,000 active Polymarket wallets as of February 2026 and growing IRS scrutiny of digital assets, the risk of non-reporting is real.

Step-by-Step: How to Report Prediction Market Gains

The exact forms depend on which tax classification you use. Here are the three paths.

Path A: Section 1256 Treatment (Form 6781 + Schedule D)

1. Calculate your net gain or loss. Total all prediction market profits and losses for the year. If you held open positions on December 31, mark them to market (treat them as if sold at fair market value on that date).
2. Complete Form 6781, Part I (Section 1256 Contracts Marked to Market). Enter your net gain or loss on Line 1.
3. Apply the 60/40 split. The form automatically splits your net gain: 60% flows to Schedule D, Line 15 (long-term) and 40% flows to Schedule D, Line 4 (short-term).
4. If you have a net loss, you may carry it back three years to offset prior Section 1256 gains (Form 6781, Part II) or carry it forward indefinitely.
5. File Schedule D with your Form 1040.

Path B: Ordinary Income Treatment (Schedule 1)

1. Calculate your net prediction market profit for the year (total winnings minus total losses).
2. Report on Schedule 1, Line 8z as "Other Income." In the description field, write something clear such as "Prediction market income -- Kalshi" or "Event contract net gains."
3. The net amount flows to Form 1040, Line 8 (Other Income).

Path C: Gambling Income Treatment (Schedule 1 + Schedule A)

1. Report total gambling winnings on Schedule 1, Line 8b (or Line 8z with description "Gambling winnings -- prediction markets").
2. If you itemize deductions, report gambling losses on Schedule A, Line 16 (Other Itemized Deductions). Remember: losses cannot exceed winnings, and starting in 2026, are capped at 90% under the OBBBA.
3. If you take the standard deduction, you cannot deduct any gambling losses. You owe tax on the full amount of winnings.

Record-Keeping Requirements

Regardless of which path you choose, you need documentation to support your return:

• Date of each trade (entry and exit)
• Contract description (market name, outcome)
• Cost basis (what you paid for each contract)
• Proceeds (what you received on sale or resolution)
• Net gain or loss per trade
• Platform name

Loss Deductions: What You Can and Cannot Deduct

How you classify your prediction market activity determines how losses are treated. The differences are substantial.

Under Section 1256 Treatment

• Net losses can offset other capital gains dollar-for-dollar
• Up to $3,000 of net capital losses can offset ordinary income per year
• Excess losses carry forward indefinitely
• A valuable three-year carryback election allows you to amend prior returns and offset Section 1256 gains from the previous three years
• No 90% cap applies -- this is a critical advantage over gambling treatment

Under Ordinary Income Treatment

• Net losses may be deductible against other income, though the exact treatment is debated among practitioners
• The $3,000 capital loss limitation does not apply (these are not capital losses)
• No carryback is available

Under Gambling Treatment (Post-OBBBA)

This is where the 2026 changes hit hardest:

• Losses can only offset gambling winnings, not other income
• You must itemize to deduct any losses (the standard deduction for 2026 is $15,000 for single filers and $30,000 for married filing jointly)
• Starting in 2026, deductible losses are capped at 90% of gambling losses or 90% of gambling gains, whichever is less
• No carryforward or carryback of unused gambling losses
• Professional gamblers (who report on Schedule C) face the same 90% cap

Example comparing all three treatments:

You made $80,000 in winning trades and $60,000 in losing trades on Kalshi in 2026.

The difference between Section 1256 and gambling treatment on the same $20,000 net profit: $4,260 in additional tax.

State Taxes: Key Differences

Federal taxes are only part of the picture. State tax treatment of prediction market gains varies significantly, and some states create particularly painful outcomes.

States With No Income Tax

Alaska, Florida, Nevada, New Hampshire, South Dakota, Tennessee, Texas, Washington, and Wyoming impose no state income tax on prediction market gains. (New Hampshire and Washington tax certain investment income, but prediction market profits are generally not affected.)

States That Do Not Allow Gambling Loss Deductions

This is the biggest trap. If you treat prediction market gains as gambling income, several states do not permit you to deduct any gambling losses at all:

• North Carolina: No gambling loss itemized deduction. You owe the 3.99% state tax rate (2026) on all gambling winnings, even if your net result is a loss.
• Connecticut, Illinois, Indiana, Massachusetts, Michigan, Ohio, West Virginia, and Wisconsin either disallow or severely restrict gambling loss deductions at the state level.

States That Allow Full Netting

• New Jersey allows full 100% netting of gambling wins and losses at the state level, making it one of the more favorable states for prediction market traders who use gambling treatment.

States Actively Fighting Prediction Markets

Several states have issued cease-and-desist letters to prediction market operators or attempted to regulate them as gambling: Nevada, Maryland, Connecticut, Tennessee, New Jersey, and Arizona. Hawaii has a pending prediction market ban (HB2198) that would classify platforms like Kalshi as illegal gambling by July 2026.

In April 2026, the Trump administration sued three states (Illinois, Connecticut, Arizona) over their attempts to regulate prediction markets under state gambling laws, asserting CFTC exclusive jurisdiction.

Practical takeaway: Your state of residence can turn a break-even year into a tax bill. If you live in a state that does not allow gambling loss deductions and you treat your prediction market activity as gambling, you owe state tax on gross winnings with no offset for losses.

2026 Tax Changes Affecting Prediction Market Traders

Two major developments affect prediction market taxation in 2026.

1. The OBBBA Gambling Loss Cap (Effective January 1, 2026)

The One Big Beautiful Bill Act, signed into law on July 4, 2025, limits gambling loss deductions to 90% of total losses (or 90% of total winnings, whichever is less). This applies to all tax years beginning after December 31, 2025.

The impact is most severe for high-volume traders who win and lose large amounts. A trader with $500,000 in wins and $500,000 in losses now owes tax on $50,000 of phantom income if they use gambling treatment.

There is active legislative effort to repeal this provision. Bills have been introduced in both the House and Senate to restore the full deduction, with bipartisan support, but neither has passed as of April 2026.

2. CFTC Rulemaking (March 2026)

On March 12, 2026, the CFTC issued an Advance Notice of Proposed Rulemaking (ANPRM) seeking public comment on prediction market regulation. The comment period closes April 30, 2026. While CFTC regulation is not the same as IRS guidance, the CFTC's formal classification of event contracts could influence how the IRS eventually treats them for tax purposes.

If the CFTC formally classifies prediction market contracts in a way that aligns with Section 1256 instruments, it would strengthen the argument for 60/40 treatment. If it classifies them as something else -- or if the Dodd-Frank swap exclusion applies -- it could foreclose that option.

Record-Keeping Best Practices

Given that most platforms do not issue comprehensive tax forms, your records are your defense in an audit. Here is what to maintain.

Essential Records

1. Trade log: Every trade with date, market name, contract description, buy/sell, quantity, price, and fees. Export from the platform whenever possible.
2. P&L summary: Net profit or loss by market and by platform, calculated using a consistent method (FIFO is standard).
3. Deposit and withdrawal records: Every fiat or crypto deposit into and withdrawal from each platform.
4. Platform statements: Download year-end statements from Kalshi, Robinhood, and any other platform. Polymarket users should export portfolio history and supplement with on-chain records from PolygonScan.
5. Screenshots of resolved markets: Resolution criteria can change or become unavailable after the market closes. Screenshot the resolution details for any significant trade.

For Polymarket Specifically

• Export your portfolio history from the Polymarket interface
• Check your wallet address on PolygonScan and export ERC-1155 token transactions (conditional tokens) and USDC transactions
• Consider using crypto tax software (Koinly, CoinTracker, Blockpit) to normalize on-chain data, but review the output manually -- these tools frequently misclassify prediction market transactions because they were designed for token transfers, not event contracts
• Track your USDC cost basis separately if you purchase USDC at varying prices

How Long to Keep Records

The IRS can audit returns up to three years after filing (six years if income is underreported by more than 25%). Keep prediction market records for at least seven years to be safe.

Frequently Asked Questions

Do I owe taxes if I did not receive a 1099?

Yes. Tax liability is based on income earned, not on forms received. The absence of a 1099 from Polymarket, Kalshi, or any other platform does not reduce your obligation to report gains.

What if I lost money overall -- do I still need to report?

It depends on your classification. Under Section 1256 or ordinary income treatment, net losses may be deductible and should be reported. Under gambling treatment, you should still report winnings and deduct losses (subject to limits) if you itemize. Failing to report a losing year means you cannot use those losses to offset future gains.

Can I use Section 1256 for Polymarket trades?

The argument is significantly weaker for Polymarket than for Kalshi. Polymarket is not a CFTC Designated Contract Market (its U.S. operations run through an acquired entity), and the crypto-native structure adds complexity. Most tax practitioners would not recommend Section 1256 for Polymarket trades unless the platform's regulatory status changes.

What about the crypto conversion -- is swapping USD for USDC taxable?

In principle, converting USD to USDC (a stablecoin pegged 1:1 to the dollar) should not generate a taxable event because there is no gain. However, if the price of USDC deviates from $1.00 at the time of conversion (which occasionally happens), a small gain or loss could result. Track your USDC cost basis to be safe.

I trade on multiple platforms. Do I combine everything?

Yes. Your tax return reports your total income from all sources. Combine gains and losses across all prediction market platforms, then report the total using whichever classification you choose. Be consistent -- do not use Section 1256 for Kalshi and gambling treatment for Polymarket in the same year without a defensible reason for the different treatment.

Should I hire a CPA?

If your prediction market activity involves more than a few thousand dollars, yes. The classification question alone -- Section 1256 vs. ordinary income vs. gambling -- can mean thousands of dollars in tax difference. Several CPA firms now specialize in prediction market taxation, and the cost of professional advice is almost always less than the cost of getting it wrong.

What if the IRS issues guidance after I file?

If the IRS issues guidance that conflicts with the position you took, you may need to amend your return. If you took a reasonable, good-faith position supported by the statutory language (such as Section 1256 for CFTC-regulated contracts), penalties are generally not imposed even if the IRS later disagrees. Document your reasoning at the time of filing.

Are prediction market winnings subject to self-employment tax?

Generally, no. Prediction market gains are not considered self-employment income for most traders. However, if you are a professional trader who reports on Schedule C, the analysis may differ. The OBBBA's 90% loss cap applies to professional gamblers as well.

Summary: Key Takeaways for 2026

1. All prediction market gains are taxable. No exceptions, no threshold, no 1099 required.
2. The IRS has not issued specific guidance. You must choose a defensible classification: Section 1256 (most favorable), ordinary income (safest), or gambling (worst for losses in 2026).
3. The OBBBA 90% loss cap is new for 2026. If you use gambling treatment, you can lose money and still owe tax.
4. Most platforms do not issue 1099-B forms for event contract trades. You are responsible for tracking and reporting your own gains and losses.
5. Your state matters. Some states do not allow gambling loss deductions at all, creating phantom taxable income even at the state level.
6. Keep detailed records. Download trade history, save platform statements, and consider crypto tax software for Polymarket. Retain records for at least seven years.
7. Consult a professional. The stakes are high and the rules are unclear. A CPA who understands prediction markets can save you far more than their fee.

Published April 8, 2026. Last updated April 8, 2026.

This guide is produced by Merlin, an AI-powered prediction market analysis platform. Merlin tracks real-time odds, whale trades, and mispriced probabilities across Polymarket and Kalshi.

Disclaimer: This article is for informational and educational purposes only. It does not constitute tax advice, legal advice, financial advice, or a recommendation to take any particular position on a tax return. Tax law is complex and subject to change. The tax treatment of prediction market contracts is unsettled, and reasonable professionals disagree on the correct classification. The information presented reflects publicly available guidance and practitioner analysis as of April 2026. You should consult a qualified tax professional, enrolled agent, or tax attorney before making any decisions about how to report prediction market income. The authors and publishers of this article assume no liability for any tax consequences resulting from actions taken based on this content.

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The strategy generates roughly $2,300/day on average. Some days more, some days less — but the equity curve barely dips. It compounds silently while you sleep.

Why this matters

This wasn't built by a quant fund. It wasn't designed by a team of PhDs. It was one prompt to Claude that produced a working spread-capture algorithm. The script runs on commodity infrastructure, costs pennies per hour, and outperforms 99.9% of human traders on Polymarket.

The implications:

1. The barrier to algo-trading is now zero. You don't need to code. You need to describe what you want.
2. Execution beats prediction. This bot has no opinion on whether Bitcoin goes up or down. It doesn't need one.
3. Speed compounds. 17,700 trades in 6 weeks = ~420 trades/day. No human can operate at this frequency. No human needs to.

How to copy it

The strategy is live on Merlin. You can copy every trade in real-time through the Merlin bot — the same positions, the same sizing logic, scaled to your capital.

→ Copy this strategy on Merlin

Merlin's take

We're past the point of debating whether AI can trade. It's trading. It's profitable. And it just showed that a single conversation with Claude can produce a strategy generating $500K+ in weeks.

The question isn't whether to copy it — it's how long you wait before the edge gets arbitraged away. Hourly crypto markets are still inefficient enough for this to work. That window won't stay open forever.

Two tankers were targeted off Basrah in Iraqi waters — notably not Iranian territory — marking an expansion of maritime hostilities beyond the Strait of Hormuz. Simultaneously, Houthi forces have threatened to close the Bab al-Mandab strait, which would effectively shut down the second critical chokepoint for global oil shipping.

The Hormuz closure market on Polymarket already resolved at 100% with $49M in total volume. Now traders are watching whether the conflict expands to Bab al-Mandab, which handles roughly 10% of global seaborne oil trade.

Market data

• US x Iran ceasefire (March 15): 0.1%
• Hormuz closure: resolved at 100%, $49M traded
• Conflict expanding: Iraqi waters, Houthi involvement

Merlin's take

The conflict is widening geographically. Targeting tankers in Iraqi waters — not Iranian — signals that maritime disruption is no longer limited to the Hormuz chokepoint. With ceasefire odds at effectively zero for March and Houthis entering the equation, the risk profile has shifted from "will Hormuz close" to "how many chokepoints get disrupted."

Oil traders should watch the Bab al-Mandab threat closely. If Houthis follow through, we're looking at dual-strait disruption for the first time — a scenario that isn't priced into most energy markets yet.

According to the Financial Times, Russia is making approximately $150 million per day from the Iran conflict. Russian crude has flipped to a $5 premium over Brent in Indian markets — a dramatic reversal from the discounts Moscow was forced to offer under Western sanctions.

The war has effectively reversed the impact of oil sanctions on Russia. With Gulf production disrupted and global supply tightening, buyers are paying premium prices for Russian crude. Every day the conflict continues, Moscow's revenue grows.

Market data

• Ceasefire by March 31: 22.5%
• Russian crude premium: +$5 over Brent (India)
• Estimated daily Russian profit: $150M

Merlin's take

This is the geopolitical arbitrage nobody's talking about. Russia isn't in the war, but it's one of the biggest financial beneficiaries. The sanctions regime that took years to build is being unwound by Middle East chaos — not by diplomacy.

At 22.5% ceasefire odds, traders are pricing roughly a one-in-four chance of peace by month end. Every week this runs, Russia banks another billion dollars. The longer the conflict, the weaker the sanctions leverage — which paradoxically reduces incentives for Moscow to push for de-escalation anywhere.

Polymarket odds for Donald Trump winning the 2028 presidential election saw a sharp decline overnight, dropping from 52.5% to 47.3% — the largest single-day move on this market in over a month. The sell-off was triggered by a widely criticized debate performance where Trump struggled with policy specifics and appeared unprepared on key economic questions.

Trading volume surged to $2.1M in the 24 hours following the debate, with large whale-tier traders ($500K+ volume) leading the sell-side. On-chain data shows at least three whale wallets exited their Trump YES positions entirely.

Market data

• Current odds: 47.3% (was 52.5%)
• 24h volume: $2.1M
• 24h change: -5.2 percentage points
• Total market liquidity: $18.4M

Merlin's take

This is a significant repricing but not necessarily a trend reversal. Trump markets have shown resilience after previous dips, bouncing back within 3-5 days in 4 of the last 6 corrections. The key level to watch is 45% — if odds break below that, it signals a more fundamental shift in market sentiment.

Smart money is split: insider-score traders (Merlin Insider Score >70) are roughly 50/50 on direction, suggesting genuine uncertainty rather than a one-sided information advantage. For traders looking to enter, the elevated volume creates good liquidity for building positions in either direction.

Turkey has shot down a third Iranian missile in its airspace since military operations began — a significant escalation given that Turkey is a NATO member state. The country is not a party to the conflict, yet its territory is being repeatedly breached by Iranian ordnance.

This raises the question of Article 5 implications. While Turkey has so far treated these as defensive interceptions rather than acts of war, each incident increases the risk of NATO being drawn into the conflict directly.

Market data

• Ceasefire by March 31: 21.5%, $7.5M traded
• Iranian missiles in NATO airspace: 3 incidents
• Peace probability this month: ~1 in 5

Merlin's take

Missiles reaching NATO territory is a red line that's already been crossed three times. The market is pricing a one-in-five chance of ceasefire by March 31 — which feels generous given the escalation trajectory. Each incident without a NATO response emboldens further boundary testing.

The regime fall market is the one to watch here. If NATO gets drawn in — even defensively — it accelerates the military pressure on Tehran significantly. At 4.8% odds for regime fall by March, the market sees survival as near-certain. But the compounding effect of domestic displacement (3.2M internally), leadership transition, and now missiles hitting alliance territory creates tail risk that 4.8% may not fully capture.

The 2026 Prediction Market Landscape

Polymarket's daily trading volume now regularly exceeds $100M. With more capital flowing into prediction markets, the competition for alpha has intensified. The traders who consistently outperform are no longer just early adopters with informational advantages — they're systematic, disciplined operators.

This means copy trading requires more nuance than ever. Simply following the highest-P&L trader isn't enough. You need to understand why a trader is profitable and whether their edge is sustainable.

What's Changed in 2026

More Sophisticated Trader Profiles

Tools like Merlin now compute dozens of metrics per trader. The Merlin Trader Score combines profitability, consistency, return quality, and recent performance into a single 0-100 score. This makes comparing traders across categories much faster.

Category Specialization

The best traders in 2026 tend to specialize. A trader who dominates political markets may underperform in crypto markets, and vice versa. Merlin's leaderboard lets you filter by category — politics, crypto, sports, entertainment, and more — so you can find specialists.

Insider Detection

Merlin's Insider Score flags traders who consistently profit on low-probability outcomes. An Insider Score above 70 suggests strong informational edge. In 2026, these signals are more valuable than ever because markets are more efficient and genuine edge is harder to find.

What Works Now

1. Follow Specialists, Not Generalists

Instead of copying one high-volume trader across all markets, build a portfolio of specialists:

• Follow a political analyst for election markets
• Follow a crypto-native trader for blockchain-related markets
• Follow a sports bettor for athletic events

Use the category leaderboard to find top performers in each vertical.

2. Use the Merlin Trader Score as a Filter

The Merlin Trader Score combines four factors:

• All-Time P&L (35%) — proven profitability
• 30-Day P&L (25%) — recent performance
• Consistency (20%) — active across time periods
• Return Quality (20%) — capital efficiency

Traders scoring 70+ have demonstrated sustained, efficient profitability. Start there.

3. Check the Risk Score

High returns often come with high risk. Merlin's Risk Score (1-10) measures portfolio concentration, max drawdown, and position sizing. A trader with a strong Trader Score but a Risk Score above 7 may be taking outsized bets that could blow up.

For copy trading, look for traders with Risk Scores of 3-5 — enough conviction to generate returns, but not so concentrated that a single loss wipes out gains.

4. Monitor Win Rate, Not Just P&L

A trader with +$500K P&L but a 40% win rate is making huge bets and getting lucky enough on the ones that hit. A trader with +$100K P&L and a 70% win rate is consistently making correct predictions. For copy trading, consistency matters more than magnitude.

5. Watch Whale Tiers

Whale tier classification helps you understand a trader's scale:

• Whales ($500K+ volume) — market movers, but their entries may move prices
• Sharks ($100K-$500K) — serious traders with meaningful capital
• Dolphins ($10K-$100K) — active traders, good for copying with smaller accounts
• Fish (< $10K) — too small volume to evaluate reliably

Sharks and Dolphins often provide the best copy trading targets — enough volume to prove their edge, but not so large that their trades move markets against you.

How to Start Copy Trading with Merlin

1. Visit the Merlin leaderboard and browse by category
2. Evaluate traders using the methodology — look for Score 70+, Win Rate 60%+, Risk Score < 6
3. Click Copy Trade on any trader to start following via the Merlin Telegram bot
4. Set position size limits and risk parameters in the bot

The expandable preview lets you check a trader's key stats without leaving the leaderboard — Merlin Score, Win Rate, Risk Score, and top positions all visible in one click.

Risk Management

Copy trading does not eliminate risk. Prediction markets can be volatile, and even the best traders have losing streaks. Always:

• Diversify across 3-5 traders minimum
• Set maximum position sizes (never risk more than 5% of capital on a single trade)
• Review your copy trading results weekly using Merlin Statistics
• Pause copying if a trader's 30-day performance significantly underperforms their all-time record

Conclusion

Copy trading in 2026 is about precision — finding the right specialists, verifying their edge with data, and managing risk systematically. The tools are better than ever. Use them.

Start exploring top traders on the Merlin leaderboard or read our complete copy trading guide for a step-by-step walkthrough.

Quick Overview

Polymarket: Strengths and Weaknesses

Strengths

Liquidity. Polymarket consistently has the deepest order books for major political and crypto markets. During elections, daily volume can exceed $200M. This means better prices and less slippage.

Market variety. Polymarket covers crypto events, memecoins, geopolitics, entertainment, sports, and niche topics. If it's newsworthy, someone's probably created a market for it.

Transparency. Every trade is on-chain on Polygon. Tools like Merlin can analyze the full transaction history of any trader — their positions, P&L, and return are publicly verifiable. This transparency powers features like the Merlin leaderboard and insider detection.

Fee structure. Polymarket's maker-taker fee model is favorable for limit orders. Makers (liquidity providers) pay 0%, while takers pay 1-2%.

Weaknesses

Regulatory uncertainty. Polymarket is not CFTC-regulated and has faced legal scrutiny. US users technically cannot access the platform, though many do via VPNs.

Counterparty risk. While trades settle on-chain, the platform itself is centralized. Deposited funds are held by Polymarket.

No mobile app. Polymarket is web-only, which limits accessibility compared to Kalshi's native apps.

Kalshi: Strengths and Weaknesses

Strengths

Regulatory clarity. Kalshi is a CFTC-regulated designated contract market (DCM). For US traders, this provides legal certainty and regulatory protections.

USD deposits. No need to convert to crypto — you can fund your account with regular bank transfers or cards.

Mobile apps. Kalshi has native iOS and Android apps, making trading more accessible.

Structured contracts. Kalshi's contracts are standardized and well-defined, reducing ambiguity about resolution.

Weaknesses

Higher fees. Kalshi's fee structure is generally higher than Polymarket's, especially for smaller trades.

Lower liquidity. Except for a few headline markets, Kalshi's order books are thinner. This means wider spreads and more slippage.

Limited market selection. Kalshi's curation process means fewer markets overall. Crypto-specific and niche markets are less common.

No on-chain transparency. Kalshi is a centralized exchange — you can't independently verify trader activity on a blockchain. This limits the kind of analytics that tools like Merlin can provide.

Which Platform for Which Strategy?

For Copy Trading

Winner: Polymarket. On-chain transparency is essential for copy trading. The Merlin leaderboard tracks the top 50 Polymarket traders with verified P&L, win rates, and risk scores. You can evaluate any trader's full history before following their trades via the Merlin Telegram bot. Kalshi doesn't offer this level of trader transparency.

For US-Based Casual Trading

Winner: Kalshi. If you're in the US and want to trade prediction markets legally without VPNs or crypto wallets, Kalshi is the straightforward choice. Fund with USD, trade on mobile, no regulatory gray areas.

For High-Volume Trading

Winner: Polymarket. Higher liquidity + lower fees = better execution for large orders. Whale-tier traders on Polymarket routinely place six-figure positions. Merlin's whale tracking monitors these large traders in real-time.

For Political Markets

Winner: Polymarket (by liquidity), Kalshi (by legality). Polymarket has deeper political markets, but Kalshi offers US-legal access. If you can access both, check prices on both — arbitrage opportunities exist.

For Analytics and Research

Winner: Polymarket + Merlin. Polymarket's on-chain data enables deep analytics: trader scoring, insider detection, category P&L breakdown, and market analytics. The Merlin methodology page documents every formula and data source used.

Can You Use Both?

Absolutely. Many serious traders use both platforms:

• Polymarket for high-liquidity political and crypto markets
• Kalshi for US-legal access and unique market types

The key is understanding each platform's strengths and matching them to your trading goals.

Conclusion

Polymarket leads in liquidity, transparency, and analytics. Kalshi leads in regulatory compliance and accessibility. For data-driven traders who want to evaluate and follow top performers, Polymarket combined with Merlin's analytics provides the most complete toolkit.

Start by browsing the Merlin leaderboard to see how top Polymarket traders perform, or read our trading strategies guide for tactical advice.

What Is Copy Trading?

Copy trading means automatically mirroring another trader's positions. When they buy, you buy. When they sell, you sell. The idea is simple: if someone has a proven track record of profitable trading, following their moves should produce similar returns.

On Polymarket, copy trading works particularly well because:

• Transparent track records: The Merlin leaderboard shows verified performance data — P&L, return, volume, and position history
• Binary outcomes: Trades either win or lose, making it easy to evaluate historical performance
• Liquid markets: Major markets have enough liquidity that copy trades can execute at similar prices to the original

How the Merlin Telegram Bot Works

The Merlin Telegram bot provides one-click copy trading directly from trader profiles:

1. Find a trader on the Merlin leaderboard with strong performance metrics
2. Click "Copy Trade" on their profile page — this generates a deep link to the Telegram bot
3. Configure your settings in the bot: position sizing, risk limits, and market filters
4. Receive notifications when the trader opens or closes positions
5. Positions are replicated in your Polymarket account automatically

The bot URL format is https://t.me/merlin0_bot?start=ct_{wallet} where {wallet} is the trader's address.

Selecting Traders to Copy

Not every profitable trader is a good copy trading candidate. Here's what to look for:

Must-Have Criteria

1. Consistent return across time periods

Check the trader's profile for return in 24h, 7d, 30d, and all-time periods. You want consistency, not a single lucky streak. A trader with 12% all-time return and positive returns in all four periods is more reliable than one with 40% 30-day return but negative all-time.

2. Sufficient volume (≥$50K all-time)

Volume is the sample size of trading. A trader with $5,000 in volume and 50% return might just be lucky. A trader with $500,000 in volume and 15% return has demonstrated repeatable skill. Focus on Dolphin-tier and above — traders with at least $10,000 in volume.

3. High Merlin Trader Score

The Merlin Trader Score (0-100) combines return, volume, and consistency into a single metric. Traders scoring 70+ are typically strong copy trading candidates.

Nice-to-Have Criteria

4. S-tier or A-tier Return Rating

The Merlin Return Rating provides a quick classification. S-tier (>=20% return) and A-tier (10-19.9%) traders have demonstrated significant edge.

5. Active trading

Check the trader's recent activity. A trader with great historical stats but no trades in the past month may have become inactive. Look for traders with positions in the 24h and 7d leaderboards.

6. Category specialization

Traders who dominate specific category leaderboards often have deeper expertise than generalists. If you're interested in crypto markets, follow a trader who ranks highly in the crypto category specifically.

7. Insider Score

Traders with high Merlin Insider Scores on the Insiders page consistently profit on low-probability outcomes — suggesting they have genuine information edge, not just luck.

Risk Management for Copy Trading

Copy trading isn't risk-free. Here's how to protect your capital:

Diversify Across Traders

Never follow just one trader. Even the best traders have losing streaks. Following 3-5 traders with different styles and category focuses reduces your risk:

• Trader 1: High-volume whale, politics specialist
• Trader 2: High-return shark, crypto focused
• Trader 3: Consistent dolphin, diversified across categories
• Trader 4: High insider score, event-driven specialist

If one trader has a bad week, the others may compensate.

Set Position Size Limits

Don't mirror a whale's position sizes if you have a smaller account. Scale your positions relative to your capital:

• Conservative: Limit each copied position to 2-5% of your total capital
• Moderate: 5-10% per position
• Aggressive: 10-20% per position (only with highly trusted traders)

Define Maximum Exposure

Set a hard limit on total capital allocated to copy trading — typically 30-50% of your Polymarket balance. Keep the rest for your own trades or as a buffer.

Monitor and Adjust

Copy trading isn't fully passive. Review your copy traders weekly:

• Has their return trend changed?
• Are they trading in unfamiliar categories?
• Has their Merlin Trader Score dropped?
• Are they taking unusually large or small positions?

If a trader's performance deteriorates over two or more weeks, consider replacing them with a better-performing alternative from the leaderboard.

Common Copy Trading Mistakes

1. Following Based on One Metric

A trader with the highest 24-hour P&L might just have gotten lucky on a big bet. Always evaluate across multiple metrics and time periods. Use the statistics page to understand what "good" looks like across the leaderboard.

2. Copying Too Many Traders

Following 10+ traders creates portfolio chaos — positions may conflict with each other, and the aggregate effect might just mirror the market. Stick to 3-5 carefully selected traders.

3. Not Accounting for Timing

When you copy a trade, you may execute at a slightly different price than the original trader. In tight markets (major elections, crypto prices), this slippage is minimal. In thin markets, it can significantly impact returns.

4. Ignoring Category Concentration

If all your copy traders are betting on the same markets, you don't actually have diversification. Check their open positions on their Merlin profiles to ensure you have exposure across different events and categories.

5. Abandoning Too Quickly

Even excellent traders have losing weeks. Evaluate performance over at least 30 days before deciding whether to stop following someone. Short-term losses are normal in prediction markets.

Advanced Copy Trading Strategies

Selective Copying

Rather than copying every trade, use trader activity as a signal and apply your own analysis:

1. Monitor top traders' new positions via the Merlin Telegram bot
2. Research the market before following
3. Only copy trades where you independently agree with the direction
4. This gives you the benefit of informed trader signals while maintaining your own analytical discipline

Inverse Copying

If you identify a consistently losing trader (negative all-time return with high volume), their positions may actually be a useful contrarian signal. This is an advanced technique with significant risk, but the logic is sound — if someone is reliably wrong, doing the opposite should be reliably right.

Tiered Allocation

Allocate more capital to higher-conviction copy traders:

• Tier 1 (60% of copy trading capital): 1-2 traders with 80+ Merlin Trader Score, S-tier return, Shark+ volume
• Tier 2 (30%): 2-3 traders with strong but shorter track records (high 30-day return, rapidly growing volume)
• Tier 3 (10%): 1-2 experimental follows — breakout traders you're testing

Getting Started

Ready to start copy trading? Here's your action plan:

1. Visit the Merlin leaderboard and sort by return for the all-time period
2. Click through to trader profiles — review their 90-day equity curves, open positions, and category breakdowns
3. Identify 3-5 candidates using the selection criteria above
4. Open the Merlin Telegram bot and configure copy trading for your selected traders
5. Set position size limits based on your risk tolerance
6. Review weekly — check trader performance and adjust your follows as needed

Copy trading transforms the Merlin leaderboard from a spectator tool into an active profit engine. By systematically following the most skilled prediction market traders, you gain exposure to their analytical edge while maintaining control over your own risk management.

Step 1: Start with the Leaderboard

The Merlin leaderboard ranks the top 50 traders across four time periods (Day, Week, Month, All-Time) and eight categories (Overall, Crypto, Politics, Sports, and more). This is your starting point.

Pro tip: Don't just look at All-Time. A trader who made $500K in 2024 but has been flat or losing in 2026 isn't a great follow target. Filter by 30-day or weekly performance to find traders with current edge.

Step 2: Check the Merlin Trader Score

The Merlin Trader Score (0-100) is a composite metric that weighs four factors:

• All-Time P&L (35%) — total profitability on a log scale
• 30-Day P&L (25%) — recent performance matters
• Consistency (20%) — active across multiple time periods
• Return Quality (20%) — average return across active periods

What to look for: Scores above 70 indicate strong, consistent traders. Scores above 85 are exceptional. The score uses logarithmic P&L normalization (log10(|PnL| + 1) / 6) to prevent extreme outliers from dominating, and return is capped at 100%.

The leaderboard shows each trader's score inline. You can click any row to expand a quick preview with detailed stats.

Step 3: Evaluate Return Rating

Return Rating (S/A/B/C/D) tells you how efficiently a trader uses capital:

• S — Return >= 50% (exceptional)
• A — Return 20-50% (strong)
• B — Return 5-20% (solid)
• C — Return 0-5% (marginal)
• D — Return < 0% (losing money)

Return is calculated as (P&L / Volume) x 100. A trader with an S or A rating is generating high returns relative to capital deployed. D-rated traders are net losers regardless of their volume.

Warning: Very high return with very low volume can be misleading. A trader who placed one $100 bet and won $200 has 100% return but no proven track record. Always cross-reference return with volume and trade count.

Step 4: Analyze Win Rate

Win Rate is the percentage of closed positions that were profitable. Merlin calculates this by comparing total buy cost versus total exit value (sells + redeems) for each unique market.

Benchmarks:

• 55-60% — above average
• 60-70% — strong
• 70%+ — exceptional (very rare at scale)

Win rate alone doesn't tell you profitability. A 90% win rate with small wins and occasional catastrophic losses (a common pattern) can still be net negative. Combine win rate with P&L and return for the full picture.

Step 5: Check Risk Score

The Risk Score (1-10) measures how risky a trader's approach is:

• Low (1-3) — diversified, controlled drawdowns, reasonable position sizes
• Medium (4-6) — some concentration, moderate drawdowns
• High (7-10) — concentrated positions, severe drawdowns, aggressive sizing

The score combines three factors: portfolio concentration (Herfindahl-Hirschman Index), max drawdown severity, and position sizing relative to total volume.

For copy trading: Target traders with Risk Scores of 3-5. Too low (1-2) might mean overly cautious, too high (7+) means you could face large drawdowns.

Step 6: Look at Whale Tier

Whale Tiers classify traders by total volume:

• Whale — $500K+ volume
• Shark — $100K-$500K
• Dolphin — $10K-$100K
• Fish — < $10K

Sharks and Dolphins with high Trader Scores are often the best finds. They have enough volume to prove their edge but aren't so large that their trades move markets. Browse whale tier pages: Whales, Sharks, Dolphins.

Step 7: Scan for Insider Edge

The Merlin Insider Score (0-100) identifies traders who consistently profit on low-probability outcomes (entry price < 35 cents). A score above 70 suggests potential informational edge.

The score weighs:

• Longshot win rate (35%)
• Profit magnitude (30%)
• Betting frequency (20%)
• Consistency across periods (10%)
• Extreme entry bonus < 10 cents (5%)

Check the Insiders leaderboard for the highest-scoring insider traders.

Step 8: Review Trader Tags

Trader Tags are behavioral labels Merlin assigns automatically:

• Sniper — Return > 30%, volume > $10K. Surgical precision
• Degen — Volume > $100K, return < 5%. High activity, low efficiency
• Contrarian — Average entry below 30 cents. Bets against the crowd
• Scalper — 50+ trades, average size < $100. High-frequency small bets
• Conviction — 5 or fewer positions, total > $5K. Concentrated bets
• Diversified — Active in 10+ markets. Spreads capital widely

For copy trading: Snipers and Diversified traders tend to be the safest follows. Degens and Conviction traders are higher risk.

Putting It All Together

Here's a practical checklist for evaluating a trader:

1. Trader Score 70+ — proven composite quality
2. Return Rating A or S — capital efficient
3. Win Rate 60%+ — consistently correct
4. Risk Score 3-5 — balanced risk approach
5. Shark or Whale tier — enough volume to be meaningful
6. Active in last 30 days — current edge, not historical
7. Category specialist — strong in their niche

When a trader checks most of these boxes, they're a strong candidate for copy trading via the Merlin Telegram bot.

Quick Evaluation on the Leaderboard

Merlin now shows whale tier emoji and Return Rating badge directly on each leaderboard row. Click any row to expand an inline preview with Merlin Score, Win Rate, Risk Score, and top positions — no need to navigate to the full profile.

For copy trading mode, visit the leaderboard with ?mode=copy for a streamlined interface focused on trader selection.

Conclusion

Finding profitable traders is a data problem, and Merlin gives you the data. Start with the leaderboard, filter by your preferred category and time period, and use the metrics in this guide to narrow your shortlist. Then follow the best with one click.

Explore the full Merlin methodology to understand exactly how every metric is calculated.

The Fundamental Difference

Polls ask people what they think. Prediction markets ask people to put money where their mouth is.

This distinction matters enormously. When a pollster calls you and asks who will win an election, your answer costs you nothing. You might state your preference rather than your prediction. You might give a socially desirable answer. You might not have thought deeply about the question at all.

When you buy a share on Polymarket at $0.65, you're risking real money. If you're wrong, you lose $0.65 per share. This financial incentive forces participants to be honest about their actual beliefs rather than their hopes, fears, or tribal affiliations.

The Track Record

Research spanning multiple election cycles and event types consistently shows prediction market superiority:

2024 US Presidential Election

• Polymarket signaled a shift toward Trump weeks before major polling averages adjusted
• Market prices proved more accurate than the FiveThirtyEight and RealClearPolitics polling aggregates
• The final market price was closer to the actual result than the final poll-based forecasts

Brexit (2016)

• Prediction markets correctly reflected higher uncertainty than polls, which had "Remain" as a comfortable favorite
• The market's implied probability for Leave was consistently higher than poll-based models suggested

Economic Indicators

• Markets on Federal Reserve rate decisions have proven more accurate than economist surveys
• Inflation prediction markets capture real-time sentiment that lags in traditional economic forecasting

Why Markets Win: Six Structural Advantages

1. Skin in the Game

The most important factor. When real money is at stake, participants have a strong incentive to:

• Seek out the best available information
• Update their beliefs when new evidence appears
• Avoid wishful thinking and cognitive biases
• Weight their confidence appropriately (you bet more when you're more confident)

The top traders on the Merlin leaderboard exemplify this — their high return reflects genuine analytical skill, not just stated opinions.

2. Continuous Updates

Polls are snapshots — conducted over days, published with a lag, and immediately outdated. Prediction market prices update in real time, every second of every day.

When breaking news hits:

• Polls won't reflect it for 3-7 days (time to conduct and publish a new poll)
• Prediction markets adjust within minutes as traders update their positions

This is why tracking price movements on the Merlin leaderboard gives you a far more current picture than waiting for the next poll.

3. Information Aggregation

A single poll captures the views of 1,000-2,000 respondents. A Polymarket market aggregates information from thousands of traders worldwide, including:

• Domain experts who understand the subject deeply
• Quantitative analysts using sophisticated models
• On-the-ground observers with local knowledge
• Cross-referencing traders who synthesize multiple data sources

The Merlin Insiders page reveals this aggregation in action — traders with high Insider Scores consistently process information more effectively than the average participant, and their collective positions influence market prices.

4. Self-Correcting Mechanism

If a prediction market price is wrong, there's a profit opportunity. Traders with better information will buy or sell to capture that profit, pushing the price toward the true probability. This creates a powerful self-correcting mechanism.

Polls have no such mechanism. If a poll is systematically biased (as many were in recent elections), there's no force pulling it back toward accuracy.

5. Weighting by Confidence

In a poll, every respondent counts equally — someone who barely thought about the question has the same weight as an expert. In prediction markets, participants self-weight by confidence:

• A trader who bets $100,000 on an outcome has a much larger impact on the market price than one who bets $100
• Whale-tier traders who commit serious capital move prices precisely because they're putting significant resources behind their analysis
• This natural confidence-weighting means the market price reflects informed opinion more heavily than casual speculation

6. No Sample Bias

Polls face constant challenges with representative sampling. Who answers their phone? Who agrees to participate? Who is likely to actually vote? Each of these introduces potential bias.

Prediction markets sidestep these issues entirely. Participation is voluntary and self-selecting, but the key metric — the price — is influenced by capital-weighted analysis rather than unweighted head counts.

Where Polls Still Have Value

Prediction markets aren't perfect. Polls maintain advantages in certain areas:

Measuring Sentiment (Not Just Outcomes)

Polls can measure why people support a candidate, which issues matter most, and how opinions break down by demographics. Markets only tell you the aggregate probability of an outcome.

Low-Profile Events

Markets require sufficient trading volume to produce meaningful prices. For obscure local elections or niche events, there may not be enough market interest to generate accurate prices. Polls can target any population of interest.

Manipulation Resistance

While prediction markets are theoretically susceptible to manipulation (a wealthy actor buying shares to signal a false probability), in practice this is self-correcting — other traders will quickly exploit the mispricing. However, thin markets with low liquidity are more vulnerable than high-volume markets.

How to Combine Both Sources

The most sophisticated analysts don't choose between polls and markets — they use both:

1. Use polls as inputs: Poll results are one of many information sources that should inform your prediction market trading decisions
2. Use markets as calibration: If your poll-based model says 60% but the market says 75%, investigate why they diverge
3. Watch for poll-market gaps: Large divergences between polls and market prices often represent the best trading opportunities
4. Track market reactions to polls: When a new poll is released, watch how market prices respond — the magnitude and direction of the move tells you how much new information the poll contained

The Future of Forecasting

Prediction markets like Polymarket are transforming how society generates forecasts:

• Policy decisions: Some researchers argue that policy should be informed by prediction market probabilities rather than expert panel opinions
• Corporate planning: Companies can use internal prediction markets to forecast product launches, project timelines, and competitive events
• Media accuracy: Prediction market prices provide a reality check on sensationalized news narratives
• Academic research: Markets generate high-frequency probability data that enables new kinds of research

Using Merlin to Leverage This Edge

Understanding the polls-vs-markets dynamic creates practical opportunities:

1. Monitor the leaderboard during polling events to see how top traders respond
2. Check Insider activity when major polls are released — informed traders may have already positioned
3. Use the guide to understand how odds translate to probabilities
4. Follow top traders via the Merlin Telegram bot — they're often better at interpreting polls than pollsters themselves
5. Track the statistics page to understand broader market performance patterns

The evidence is clear: when you need to know what's actually going to happen, prediction markets are the best tool humanity has invented. And with platforms like Merlin, you can see exactly who's driving those predictions and how they're doing it.

The Numbers Behind Top Performance

The Merlin statistics page reveals striking data about trader performance distribution:

• The top 10% of traders generate over 80% of total profits
• Whale-tier traders (≥$500K volume) have a 70%+ profitability rate
• S-tier return traders maintain 20%+ returns even over the all-time period
• The median trader on the leaderboard is profitable — but just barely

This power-law distribution means that a small number of highly skilled traders consistently extract value from prediction markets, while the majority break even or lose money slowly.

Whale Tier Breakdown

The Whale Tier system classifies traders by total all-time volume:

Whales (≥$500K volume)

Whale-tier traders are the institutional-grade participants of Polymarket. Key characteristics:

• Average return: Typically 5-15%, lower than smaller traders because they move markets with their size
• Strategy: Predominantly market-making and event-driven trading
• Category focus: Often specialized in politics and crypto — the highest-volume categories
• Trade frequency: Very active, often executing dozens of trades per day
• Edge: Capital advantage allows them to provide liquidity and capture spreads

Sharks ($100K-$499K volume)

Shark-tier traders represent the "smart money" — experienced enough to trade seriously but nimble enough to exploit opportunities that whales can't access.

• Average return: Typically 10-20%, higher than whales due to better position sizing relative to market depth
• Strategy: Mix of event-driven, contrarian, and information-edge trading
• Category focus: More diversified across categories
• Trade frequency: Moderate — quality over quantity
• Edge: Domain expertise and analytical frameworks

Dolphins ($10K-$99K volume)

Dolphin-tier traders are the rising stars — many of today's whales started at this level.

• Average return: Widest range, from -20% to 30%+
• Strategy: Highly varied — this tier contains both future whales and future fish
• Category focus: Often concentrated in a single category they know well
• Edge: Specialized knowledge, willingness to take contrarian positions

Fish (<$10K volume)

Fish-tier traders are typically new to prediction markets. They trade small amounts while learning. Most will either graduate to higher tiers as they develop skill, or exit the market entirely.

What Makes Top Traders Different

After analyzing hundreds of trader profiles on the Merlin leaderboard, several consistent patterns emerge among the most profitable performers.

1. Category Specialization

Top traders don't try to be experts in everything. The most profitable traders on the category leaderboards typically dominate one or two categories rather than spreading themselves across all eight.

Why specialization works:

• Deep domain knowledge creates information edge
• Familiarity with market patterns in specific categories reduces mistakes
• Concentrated attention means faster response to new information

The Insiders page often flags category specialists — traders who consistently profit in one specific area, suggesting genuine expertise.

2. Disciplined Position Sizing

The correlation between position sizing discipline and long-term profitability is striking. Top traders:

• Never risk more than 5-10% of their portfolio on a single market
• Scale position size with conviction level
• Reduce exposure when approaching events with binary, unpredictable outcomes
• Increase exposure in markets with clearer information asymmetry

3. Active Risk Management

Losing traders hold losing positions hoping for a reversal. Winning traders cut losses and reallocate capital. The data shows that traders with high Merlin Trader Score tend to have more trades overall — not because they trade recklessly, but because they actively manage positions.

4. Patience and Selectivity

Counter-intuitively, the most profitable traders are also the most selective. They may monitor dozens of markets but only take positions where they see clear expected value. This selectivity shows up in their return — they achieve high returns because they only deploy capital where they have genuine edge.

5. Consistent Process

Top performers don't just get lucky on one big trade. Their equity curves on Merlin trader profiles show steady upward trends with manageable drawdowns. This consistency indicates a repeatable analytical process rather than gambling.

Identifying Breakout Traders

Some of the best opportunities for copy trading come from identifying traders who are about to break out — currently at Dolphin or Shark tier but showing patterns consistent with future Whale performance.

Signs of a breakout trader:

1. Rapidly improving return: Their 30-day return is significantly higher than their all-time return, suggesting they've recently improved their approach
2. Increasing volume: They're scaling up position sizes, indicating growing confidence
3. High Insider Score: The Merlin Insider Score flags traders who consistently profit on low-probability outcomes — a strong signal of information edge
4. Category consistency: They're profitable across multiple time periods in their chosen category
5. S-tier or A-tier Return Rating: The Merlin Return Rating confirms consistent efficiency

The Role of Information in Top Performance

The Merlin Insiders page surfaces a fascinating finding: the most profitable traders are often the best-informed. Traders flagged with high Insider Scores don't have illegal information — they simply process publicly available information more quickly and accurately.

Information processing advantages include:

• Speed: Monitoring multiple real-time data sources and acting before the market adjusts
• Analytical frameworks: Using Bayesian probability updates, historical base rates, and conditional probability models
• Contrarian thinking: Recognizing when the crowd's narrative doesn't match the data
• Cross-domain knowledge: Understanding how events in one market category affect markets in others

Common Mistakes of Losing Traders

Understanding why traders fail is just as valuable as understanding why they succeed:

1. Overconfidence: Betting too large on a single outcome because they're "sure" they're right
2. Recency bias: Overweighting recent events and ignoring base rates
3. Herd following: Buying because others are buying, rather than based on independent analysis
4. Ignoring liquidity: Trading in thin markets where the bid-ask spread eats their edge
5. Emotional trading: Revenge trading after losses, or becoming euphoric after wins
6. No specialization: Trying to trade every category without deep knowledge in any

How to Use This Analysis

Whether you're an active trader or an observer, the patterns above can improve your approach:

For active traders:

• Specialize in 1-2 categories where you have genuine knowledge
• Study the strategies used by top performers
• Track your return across time periods to identify whether you're improving
• Use the glossary to fully understand every metric available

For copy traders:

• Focus on Shark and Dolphin-tier traders with high return and improving trends
• Diversify across multiple traders to reduce single-trader risk
• Use the Merlin Telegram bot to follow proven performers
• Review trader profiles regularly to ensure their edge persists

For researchers:

• The statistics page provides aggregated data on trader performance
• Category-level analysis reveals which markets offer the most opportunity
• The Insider Score data points to information flow patterns in prediction markets

The prediction market landscape rewards preparation, specialization, and discipline. The Merlin leaderboard provides the transparency needed to identify these qualities — use it to learn from the best and develop your own edge.

What Makes a Whale?

Merlin classifies traders into four tiers based on all-time trading volume:

• Whale (>= $500K volume) — The biggest players. Their trades can visibly move market prices
• Shark ($100K-$500K) — Serious capital, experienced traders
• Dolphin ($10K-$100K) — Active traders with meaningful stakes
• Fish (< $10K) — Small-scale participants

You can browse each tier: Whales, Sharks, Dolphins.

Why Whale Tracking Matters

1. Whales Have Better Information

Large traders don't risk six figures on a hunch. Many whale-tier traders on Polymarket are professional analysts, political insiders, or domain experts. When they take big positions, they've often done research that retail traders haven't.

Merlin's Insider Score quantifies this by measuring how often a trader profits on low-probability outcomes. A whale with a high Insider Score is especially worth watching.

2. Whales Move Prices

A $100K buy order on a market with $500K total liquidity will shift the price significantly. If you can spot these moves early (via the Activity Feed), you can position yourself before the price fully adjusts.

3. Whale Behavior Signals Conviction

When a whale trader who normally diversifies across 20 markets suddenly concentrates capital into one position, it signals high conviction. Merlin's Trader Tags — particularly the Conviction tag — help identify these moments.

How to Track Whales with Merlin

Activity Feed

The Activity Feed shows real-time trades across Polymarket. Use whale filters to focus on large trades:

• $1K+ — catches meaningful retail trades
• $10K+ — shark and whale territory
• $100K+ — whale-only moves

Each activity entry shows the trader, market, direction (buy/sell), amount, and price. Click the trader to see their full profile and metrics.

Whale Leaderboard

Filter the leaderboard to focus on whale-tier traders specifically. The leaderboard shows whale emoji and Return Rating for every trader, so you can quickly identify which whales are also profitable.

Whale Tier Page

The dedicated Whales page lists all whale-classified traders with their full stats — Merlin Trader Score, P&L, volume, and key metrics.

Whale Trading Patterns

After analyzing thousands of whale trades on Polymarket, several patterns emerge:

Pattern 1: Accumulation Before News

Informed whales often begin accumulating positions days or weeks before major news events. They buy gradually to avoid moving the price too much. Watch for consistent buying from a known whale across multiple sessions.

Pattern 2: Contrarian Whale Bets

Some whales specialize in buying outcomes priced below 30 cents — long-shot bets that most of the market thinks won't happen. Merlin tags these traders as Contrarian and measures their success with the Insider Score. When a whale with a proven track record of profitable contrarian bets makes a move, pay attention.

Pattern 3: Volume Spike Clusters

When multiple whales suddenly enter the same market within a short window, it often signals non-public information or a shared analytical conclusion. The Activity Feed helps you spot these clusters.

Pattern 4: Position Reduction

Whales reducing or closing positions can be just as informative as new entries. If a whale who bought "Yes" at 30 cents starts selling at 70 cents, they might be taking profit — or they might know the probability has peaked.

Risk of Following Whales

Whale tracking isn't a guaranteed strategy:

• Whales can be wrong. Even sophisticated traders make mistakes. The win rate of many whale-tier traders is below 60%
• Market impact. By the time you see a whale trade, the price may have already moved. Your entry will be worse
• Contrarian whales. Some whales deliberately trade against consensus. Their strategy works for them but may not suit your risk tolerance
• Size mismatch. A whale can afford to lose $50K on a position. Can you?

Always evaluate whale traders using the full suite of Merlin metrics — Trader Score, Return Rating, Risk Score — before deciding to follow.

Copy Trading Whales

If you want to automatically follow a whale's trades, the Merlin Telegram bot offers one-click copy trading. Visit the leaderboard in copy mode, find a whale with strong metrics, and tap Copy Trade.

Important: Set position size limits in the bot. You don't want to match a whale's $100K position with your $5K account. Use percentage-based sizing (e.g., 2-5% of your capital per trade).

Conclusion

Whale tracking is one of the most powerful edges available in prediction markets. The data is public, the tools exist, and the patterns are real. But it requires discipline — not every whale trade is a signal, and not every signal is actionable.

Use the Merlin leaderboard to find the most profitable whales, the Activity Feed to monitor their trades in real-time, and the methodology to understand exactly how each metric is calculated.

What's in a Daily Recap?

Each Merlin daily recap includes:

Top Movers

Markets with the largest price changes in the last 24 hours. A market that went from 30 cents to 70 cents had a significant information event — understanding what drove the move helps you evaluate whether the new price is correct or an overreaction.

Volume Leaders

The highest-volume markets of the day. High volume signals active debate and liquidity. These are the markets where you'll find the tightest spreads and the most informed traders.

Top Performing Traders

Which traders had the best day? The recap highlights traders who made the most profitable moves, including their Merlin Trader Score, Return Rating, and whale tier. This is a fast way to discover new traders worth following.

Notable Whale Trades

Large trades ($10K+) that moved markets. Each entry shows the trader, market, position, and size. When a known whale makes a big move, the recap captures it.

How to Build a Trading Routine

The most consistent prediction market traders have routines. Here's how to use Merlin's tools to build yours:

Morning (5 minutes)

1. Check the recap — Read yesterday's daily recap to see what you missed
2. Scan the leaderboard — Quick look at the 30-day leaderboard to see who's hot
3. Review your positions — If you're copy trading via the Merlin bot, check overnight activity

During the Day (as needed)

4. Monitor the Activity Feed — The live activity feed shows real-time trades. Set whale filters ($10K+ or $100K+) to cut noise
5. Check trending markets — The Markets page shows what's being traded most actively

Evening (5 minutes)

6. Evaluate new traders — If the recap highlighted a strong performer you don't follow, check their full profile — Merlin Score, Win Rate, Risk Score
7. Adjust copy trading — Add or remove traders from your copy list based on recent performance

Using Recaps for Research

Daily recaps aren't just for staying informed — they're a research tool.

Spotting Patterns

By reviewing recaps over multiple days, you can identify:

• Trending sectors — Which categories (politics, crypto, sports) are seeing the most volume?
• Emerging traders — Who keeps appearing in the top performers?
• Market inefficiencies — Repeated price swings in the same direction may indicate a mispriced market

Category Analysis

Merlin's Statistics page provides aggregate analytics, but daily recaps show you the micro-trends within each day. Combining both gives you a macro + micro view of the prediction market landscape.

Trader Discovery

The leaderboard shows all-time and periodic rankings, but recaps highlight daily standouts. A trader who had an exceptional day might not rank in the top 50 all-time, but they might be on a hot streak worth following.

Use the expandable preview on the leaderboard to quickly evaluate any trader from the recap — one click shows their Merlin Score, Win Rate, Risk Score, and top positions.

Recap vs. Leaderboard vs. Statistics

Each tool serves a different purpose. The recap is your daily briefing. The leaderboard is your talent scouting. Statistics are your macro analysis.

Copy Trading with Recaps

For copy traders, recaps serve a specific purpose: validation. If a trader you're copying appears in the recap's top performers, your strategy is working. If they appear in the worst performers, it might be time to review.

The copy trading guide covers how to set up and manage copy trading via the Merlin Telegram bot. Recaps help you stay informed about your copy targets without having to manually check each trader's profile daily.

Conclusion

Prediction markets reward informed, disciplined participants. Merlin's daily recaps compress hours of market monitoring into minutes. Build a routine around them, use the leaderboard and methodology to validate what you learn, and let data drive your decisions.

Browse the latest recap at merlin.trade/recap or explore the full suite of analytics at merlin.trade.

Return Formula

The basic return formula for prediction market trading is:

Return = (Profit / Total Volume) × 100%

Where:

• Profit (P&L) is the total gains minus total losses
• Total Volume is the sum of all capital deployed across trades

Example: A trader who deployed $100,000 in total volume and earned $15,000 in profit has a 15% return. Another trader who deployed $1,000,000 and earned $50,000 has a return of just 5% — even though their absolute profit is higher.

This is why the Merlin leaderboard lets you sort by both P&L and return — they tell different stories about trader performance.

Why Return Matters More Than Raw Profit

Consider two traders:

Trader B earned more money in absolute terms, but Trader A was far more efficient with their capital. If Trader A had the same capital as Trader B, they would have earned $500,000 at the same return rate.

This distinction matters because:

• Return measures skill — it shows how well a trader identifies mispriced markets
• P&L measures scale — it shows how much capital a trader deploys
• High return with low volume often indicates a skilled trader who hasn't yet scaled up
• Low return with high volume may indicate a market-maker who profits from spreads rather than directional bets

Merlin Return Rating System

The Merlin Return Rating classifies traders into five tiers based on their all-time return performance:

You can see return ratings on trader profiles and filter by rating on the leaderboard. The statistics page shows the distribution of ratings across all tracked traders.

Return Across Different Time Periods

Return can vary significantly across time periods. A trader might show:

• 24-hour return: -5% — had a bad day with losing positions
• 7-day return: 8% — generally performing well this week
• 30-day return: 12% — strong monthly performance
• All-time return: 15% — consistently profitable over their career

The Merlin leaderboard shows performance across four time periods (24h, 7d, 30d, All Time) so you can evaluate consistency. A trader with steady return across all periods is generally more reliable than one with extreme short-term spikes.

Return by Category

Different Polymarket categories have different typical return ranges:

• Politics: Tends to offer higher return opportunities during election cycles due to retail traders overreacting to polls and media narratives
• Crypto: High volatility creates both opportunities and risks — return tends to be bimodal (very positive or very negative)
• Sports: More efficient markets with smaller edges — professional sports bettors have migrated here, tightening spreads
• Economics: Data-driven markets where quantitative traders have an edge — return opportunities exist around Federal Reserve decisions and jobs reports

Check the category leaderboards to see which categories have the highest average return among top traders.

Common Return Misconceptions

"Higher return always means a better trader"

Not necessarily. A trader who made one $100 bet and won $50 has a 50% return — but with zero statistical significance. Return is only meaningful when combined with sufficient volume. That's why the Merlin Trader Score weighs both return and volume together.

"Negative return means the trader is bad"

Sometimes. A negative 30-day return might mean the trader has open positions that haven't resolved yet — their P&L reflects unrealized losses that may reverse. All-time negative return with high volume, however, is a genuine warning sign.

"Return should be compared across all traders equally"

Different strategies produce different return profiles. Market-makers typically have 1-3% return but with very high volume and consistency. Event-driven traders might show 15-30% return but with higher variance. Compare traders using similar strategies for meaningful comparison.

How Top Traders Maintain High Return

Analyzing S-tier and A-tier traders on the Merlin leaderboard reveals common practices:

1. Selective trading: They don't trade every market — they wait for situations where they have a genuine edge
2. Position sizing: Larger positions in high-conviction trades, smaller positions in speculative ones
3. Cutting losses: They exit losing positions quickly rather than hoping for a reversal
4. Category focus: Most specialize in 1-3 categories where they have domain expertise
5. Information discipline: They base decisions on data and analysis, not social media hype or FOMO

Using Return for Copy Trading

If you're considering following traders via the Merlin Telegram bot copy-trade feature, return is a crucial metric to evaluate:

• Look for traders with consistent return above 10% across multiple time periods
• Verify they have sufficient volume — at least $50,000+ all-time — to ensure statistical significance
• Check their Whale Tier — Dolphin-tier and above traders have enough skin in the game to take seriously
• Review their open positions on their profile page to understand their current exposure
• Consider their Merlin Trader Score which combines return with volume and consistency

Return vs. Other Performance Metrics

The Merlin leaderboard displays all of these metrics, giving you a complete picture of each trader's performance.

Improving Your Own Return

If you're actively trading on Polymarket, here are practical steps to improve your return:

1. Track everything: Record your reasoning for each trade so you can review what worked
2. Focus on expected value: Don't chase low-probability longshots unless the payout genuinely compensates for the risk
3. Learn from the best: Study traders with high return on their Merlin profiles — what categories do they trade? How do they size positions?
4. Be patient: Positive return compounds over time. A consistent 10% return is far better than swinging between +50% and -40%
5. Use the glossary to understand all the metrics available to you

Return is the clearest signal of trading skill in prediction markets. By understanding how it's calculated and what influences it, you can make better decisions about your own trades and which traders to follow.

1. Event-Driven Trading

Event-driven trading is the most popular strategy among Whale-tier traders. The approach is straightforward: build positions before known catalysts and profit from the resulting price movements.

How it works:

• Identify upcoming events that will resolve or significantly impact a market (elections, economic data releases, court decisions)
• Analyze the current market price versus your assessment of the true probability
• Enter positions before the event, when prices still reflect uncertainty
• Exit or let positions resolve after the catalyst

Example: Before a Federal Reserve rate decision, a trader might notice that the market prices a rate cut at $0.35 (35% probability), while their analysis of recent economic data suggests a 50% probability. Buying at $0.35 provides significant expected value if their assessment is correct.

The key risk is that events can surprise in unexpected ways. Top traders manage this by sizing positions proportionally to their confidence level — never betting the farm on a single event.

2. Contrarian Betting

Contrarian traders look for situations where the crowd is wrong. This often happens in markets driven by narrative rather than fundamentals, or when recent news has pushed prices to emotional extremes.

Signs of a contrarian opportunity:

• A price that moved sharply on speculation rather than confirmed information
• Markets where public sentiment (social media, news) diverges dramatically from historical base rates
• "Obvious" outcomes that are overpriced because everyone is piling in

Traders flagged by the Merlin Insider Score frequently employ contrarian strategies — they profit precisely because they bet against consensus on low-probability outcomes that end up resolving in their favor.

Risk management: Contrarian positions can stay wrong for a long time before the market corrects. Successful contrarian traders use small position sizes on individual bets and spread their capital across many opportunities.

3. Market-Making

Market-making is a more advanced strategy where traders provide liquidity by placing both buy and sell orders, capturing the bid-ask spread as profit.

How it works:

• Place a buy order at $0.48 and a sell order at $0.52 on the same outcome
• When both orders execute, you earn $0.04 per share regardless of which direction the market moves
• Repeat continuously across multiple markets

Advantages:

• Profit doesn't depend on correctly predicting outcomes
• Income is relatively steady compared to directional trading
• Works best in high-volume markets with stable prices

Challenges:

• Requires constant monitoring and order management
• Adverse selection risk — informed traders may pick off your orders before you can adjust
• Sharp price movements can result in holding large, unwanted positions

On the Merlin leaderboard, market-makers are often identified by high volume relative to P&L — they trade frequently but with lower margins per trade.

4. Cross-Market Arbitrage

When related markets exist on Polymarket, their prices should be mathematically consistent. When they're not, arbitrage opportunities appear.

Common arbitrage scenarios:

• Complement markets: If "Will Bitcoin hit $100K?" is at $0.60, then "Will Bitcoin stay below $100K?" should be near $0.40. If it's at $0.45, you can buy both complements for $1.05 and lock in a $0.05 loss — or sell both for a guaranteed profit.
• Multi-outcome inconsistency: In a market with five candidates, if prices sum to $1.08, some outcomes are collectively overpriced.
• Related events: If "Democrats win the presidency" is at $0.55 and "Democratic candidate wins popular vote" is at $0.50, there may be a logical inconsistency to exploit.

Arbitrage opportunities are rare and fleeting — they require fast execution and the ability to spot inconsistencies across many markets simultaneously.

5. Information Edge Trading

Some of the most profitable traders on the Merlin leaderboard earn their returns through superior information processing. They don't have illegal insider information — they simply analyze publicly available data faster and more accurately than the crowd.

Sources of information edge:

• Domain expertise (a political scientist trading on elections, a crypto developer trading on DeFi events)
• Better data sources (proprietary polling models, real-time economic indicators)
• Faster processing (monitoring news feeds, social media signals, and on-chain data in real time)
• Analytical frameworks (Bayesian updating, historical base rates, conditional probability models)

The Insiders page on Merlin surfaces traders who consistently demonstrate information edge — their positions move before major price changes, suggesting they process relevant signals faster than the market.

6. Portfolio Diversification

Rather than concentrating capital in a few markets, diversified traders spread their bets across many markets with positive expected value.

The math behind diversification:

• If you have 20 bets each with +5% expected value, your portfolio's expected return is still +5%
• But the variance (risk) decreases with each additional uncorrelated bet
• Over time, the law of large numbers means your actual return converges toward the expected value

Implementation:

• Maintain positions in 10-30 markets simultaneously
• Limit any single market to 5-10% of total capital
• Prefer uncorrelated markets (politics + sports + crypto rather than multiple related political markets)
• Rebalance as new information changes expected values

Traders with consistently high return and Merlin Trader Score often use diversification — their equity curves show smooth upward trends rather than volatile swings.

7. Resolution Timing Arbitrage

As markets approach their resolution date, prices converge toward $0.00 or $1.00 as uncertainty decreases. Timing traders exploit the predictable pattern of this convergence.

Strategy variations:

• Early entry: Buy positions in markets where the outcome seems likely but distant. A market at $0.75 six months before resolution might drift to $0.90 as certainty increases, even without new information.
• Late-stage value: Some markets underprice near-certain outcomes close to resolution. Buying at $0.95 for a near-guaranteed $1.00 payout is a 5% return, which can be attractive for short holding periods.
• Time decay selling: If you hold a winning position, sell gradually as the price approaches $1.00 rather than waiting for full resolution — this frees capital for new opportunities.

Combining Strategies

The most successful traders on the Merlin leaderboard typically combine multiple strategies rather than relying on a single approach. A common combination:

1. Use event-driven trading for core positions in markets they understand deeply
2. Apply diversification to spread risk across categories
3. Employ contrarian betting selectively when crowd sentiment seems extreme
4. Use resolution timing to manage entries and exits

Learning from Top Traders

The best way to develop your own trading strategy is to study successful traders:

1. Visit the Merlin leaderboard and identify traders with high Merlin Trader Score ratings
2. Click through to their profiles to see their current positions and 90-day performance charts
3. Look for patterns — do they concentrate in specific categories? Do they favor longshots or favorites?
4. Check the Insiders page for traders with information edge
5. Consider following proven traders via the Merlin Telegram bot copy-trade feature

Remember: every strategy has periods of underperformance. The key is finding an approach that matches your risk tolerance, time commitment, and domain expertise — then executing it consistently over hundreds of trades.

Prices as Probabilities

On Polymarket, every outcome has a share price between $0.01 and $0.99. This price directly represents the market's consensus probability for that outcome occurring.

• A share at $0.65 means the market believes there's a 65% probability
• A share at $0.15 implies only a 15% probability (a "longshot")
• A share at $0.92 suggests a 92% probability (a strong favorite)

When a market resolves, winning shares pay $1.00 and losing shares pay $0.00. So if you buy at $0.65 and you're correct, you earn $0.35 per share in profit. If you're wrong, you lose your $0.65 investment.

Expected Value: The Core Concept

The key to profitable prediction market trading is finding situations where the market's implied probability diverges from the true probability. This difference is called expected value (EV).

For example, if a share trades at $0.40 (implying 40% probability) but your analysis suggests the true probability is 55%, the expected value of buying is:

EV = (0.55 × $0.60 profit) - (0.45 × $0.40 loss) = $0.33 - $0.18 = +$0.15 per share

Top traders on the Merlin leaderboard consistently find positive EV situations. Their high return reflects this edge — it's not about being right on every trade, but about being right more often than the price implies.

Multi-Outcome Markets

Some Polymarket markets have more than two outcomes. For instance, "Who will win the 2028 presidential election?" might have five candidates as options. In these markets:

• The sum of all outcome prices should theoretically equal $1.00
• In practice, there's often a small overround (sum slightly above $1.00) representing the market's friction
• You can trade any individual outcome without taking a position on the others

Multi-outcome markets often present more opportunities for edge because probabilities are harder for the crowd to calibrate across many options simultaneously.

Bid-Ask Spreads

Like any financial market, Polymarket has a bid-ask spread — the difference between the highest price someone will pay (bid) and the lowest price someone will sell at (ask).

• Tight spreads ($0.01-$0.02): High-liquidity markets like major elections. Easy to enter and exit positions.
• Wide spreads ($0.05+): Lower-liquidity markets. You may need to accept unfavorable prices to trade, and large positions can move the market.

Check the trending markets page to see which markets currently have the highest volume — these typically have the tightest spreads and best execution.

Time Decay and Information Flow

Prediction market prices respond to information in real time. Understanding how prices move helps you time your entries:

• Pre-event drift: Prices gradually adjust as new information becomes available (polls, news, insider signals)
• Event-driven jumps: Sharp price movements when key information is released (election results, economic data, court decisions)
• Resolution convergence: As the event approaches, prices converge toward $0.00 or $1.00 as uncertainty decreases

The best traders identified on Merlin's Insiders page often enter positions before major price moves, suggesting they process information faster or have better analytical frameworks than the consensus.

Using Merlin Data to Read the Market

The Merlin leaderboard adds a crucial layer to odds analysis — it shows you who is trading, not just what the prices are.

Key signals to watch:

• Whale activity: When Whale-tier traders (≥$500K volume) take positions, it often signals informed money entering the market
• Insider patterns: The Merlin Insider Score flags traders who consistently win on longshot outcomes — their current positions may indicate underpriced opportunities
• Consensus shifts: When multiple top-ranked traders take the same side, it strengthens the signal even if the market price hasn't moved yet

Practical Tips for Reading Odds

1. Don't trust round numbers: Markets at exactly $0.50 often reflect genuine uncertainty, but markets stuck at $0.90 or $0.10 may have more room for surprise than the price suggests
2. Compare across time periods: A market that moved from $0.30 to $0.60 in a week is telling you something different than one that's been at $0.60 for months
3. Check volume context: High volume at a price level means the consensus is stronger. A $0.70 price with $5M in volume is more reliable than $0.70 with $50K in volume
4. Watch for market resolution: As the event date approaches, prices become more predictive. Early prices have wider error bars
5. Use Merlin's trader profiles: Click on top traders on the leaderboard to see their current positions — their collective wisdom can complement your own analysis

Understanding odds is the foundation of prediction market success. Combine this knowledge with Merlin's trader analytics, and you'll have a significant edge in identifying mispriced markets and profitable opportunities.

How Polymarket Works

At its core, Polymarket creates markets around questions about future events. Each market has two or more outcomes (typically "Yes" and "No"), and shares for each outcome trade between $0.01 and $0.99.

The key insight is that share prices represent probabilities. If "Yes" shares for "Will Bitcoin reach $100K by June 2026?" trade at $0.72, the market collectively believes there's a 72% chance it will happen. If you disagree with this assessment — say you think the probability is actually 90% — buying at $0.72 gives you positive expected value.

When a market resolves, winning shares pay out exactly $1.00 USDC, and losing shares become worthless at $0.00. This binary payoff structure is what makes prediction markets fundamentally different from traditional financial markets.

Settlement and Blockchain

All Polymarket transactions happen on the Polygon blockchain using USDC (a stablecoin pegged 1:1 to the US dollar). This means:

• Transparent pricing: All trades are on-chain and verifiable
• No counterparty risk: Settlement is automatic via smart contracts
• Global access: Anyone with a crypto wallet can participate
• Fast settlement: Winning positions are redeemed instantly when markets resolve

Polymarket uses an oracle system to verify real-world outcomes and trigger market resolution. For most markets, resolution is straightforward — an election has a winner, a price target is either hit or missed.

Market Categories

Polymarket organizes markets into eight main categories, each tracked separately on the Merlin leaderboard:

• Politics: Elections, legislation, geopolitical events, Supreme Court decisions
• Sports: Championships, player performance, match outcomes, awards
• Crypto: Bitcoin and Ethereum price targets, DeFi events, regulatory decisions
• Culture: Awards shows (Oscars, Grammys), entertainment industry, viral trends
• Economics: Federal Reserve rates, inflation data, GDP, employment figures
• Tech: AI developments, product launches, tech regulation
• Finance: Stock prices, corporate events, M&A, IPOs
• Overall: Spanning all categories

Why Prediction Markets Matter

Prediction markets have consistently demonstrated superior forecasting accuracy compared to polls, expert panels, and pundit predictions. The reason is simple: when real money is at stake, participants have strong incentives to be right rather than to signal beliefs or follow conventional wisdom.

Research across multiple election cycles has shown that Polymarket and similar platforms provide more accurate probability estimates than aggregated polling data, often adjusting to new information within minutes rather than days.

How Top Traders Profit

The top traders on the Merlin leaderboard earn anywhere from $10,000 to over $500,000 in profit during active market periods. They employ various strategies:

• Event-driven trading: Building positions before known catalysts like economic data releases or election results
• Contrarian bets: Buying when the market seems wrong, especially on low-probability outcomes
• Market-making: Providing liquidity by placing both buy and sell orders to capture spreads
• Cross-market arbitrage: Exploiting inconsistencies between related markets

You can analyze these traders' strategies in detail on their individual profile pages, which show 90-day P&L charts, open positions, and complete trade histories.

Getting Started with Polymarket

If you're new to prediction markets, here's how to begin:

1. Learn the basics: Read our comprehensive trading guide to understand how odds, P&L, and return work
2. Study the leaderboard: Visit the Merlin leaderboard to see who's currently performing best and in which categories
3. Explore markets: Check trending markets to see what's actively trading
4. Understand the metrics: Use our glossary to learn key terms like P&L, return, and trading volume
5. Consider copy trading: If you want to follow proven traders, the Merlin Telegram bot lets you replicate their positions automatically

Merlin's Role in the Ecosystem

Merlin provides the analytics layer that Polymarket's native interface lacks. While Polymarket shows you markets and prices, Merlin shows you who is making money and how.

Key Merlin features include:

• Real-time leaderboard: Top 50 traders ranked by P&L, return, and volume, updated every 60 seconds
• Trader profiles: 90-day equity curves, performance stats, open positions, and badges
• Proprietary metrics: Merlin Trader Score (0-100), Return Rating (S/A/B/C/D), and Insider Score
• Whale tier classification: Categorizing traders as Whales, Sharks, Dolphins, or Fish by volume
• Smart money detection: The Insiders page surfaces traders who consistently profit on low-probability outcomes
• One-click copy trading: Via the Merlin Telegram bot

Whether you're a seasoned trader looking for an edge or a newcomer trying to understand the prediction market landscape, Merlin's data-driven approach gives you the insights to make better decisions.