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What Are Prediction Markets?

Prediction markets are trading platforms where you can buy and sell shares in the outcomes of future events. Prices reflect the collective wisdom of all traders about the probability of each outcome.
The Wisdom of Crowds: Prediction markets often forecast events more accurately than polls or expert predictions because they aggregate information from many participants with “skin in the game.”

How Polymarket Works

Binary Markets

Most markets on Polymarket are binary (YES/NO):
Question: "Will Bitcoin reach $100k by December 2024?"

Possible outcomes:
• YES - It will reach $100k
• NO - It won't reach $100k

Current prices:
• YES: $0.65 (65% probability implied)
• NO: $0.35 (35% probability implied)
YES price + NO price always = $1.00

Share Mechanics

When you trade, you’re buying shares: If Outcome Happens:
  • Winning shares → $1.00 each
  • Losing shares → $0.00 each
If Outcome Doesn’t Happen:
  • Winning shares → $0.00 each
  • Losing shares → $1.00 each

Market Pricing

Reading Prices

Prices represent implied probabilities:
PriceImplied ProbabilityInterpretation
$0.9595%Almost certain
$0.8080%Very likely
$0.6565%Moderately likely
$0.5050%Toss-up
$0.3535%Moderately unlikely
$0.2020%Very unlikely
$0.055%Almost impossible

Price vs. Probability

Understanding the difference is crucial: Market Price ($0.70):
  • What traders are willing to pay
  • Reflects current sentiment
  • Can be influenced by emotion, liquidity
True Probability (your estimate):
  • What you think the real odds are
  • Based on your research and analysis
  • Your edge when different from price
Finding Value: Profit comes from markets where YOUR probability estimate differs significantly from the MARKET price.

Market Resolution

How Markets Resolve

Markets settle when the outcome is known:
1

Event Occurs

The real-world event happens (or deadline passes)
2

Verification

Polymarket verifies the outcome using:
  • Official sources (election results, sports scores)
  • Data providers (APIs, news feeds)
  • UMA Protocol oracle system
3

Resolution

Market is resolved to the correct outcome:
  • Winning side → $1.00 per share
  • Losing side → $0.00 per share
4

Settlement

Your USDC is automatically credited:
  • No action needed from you
  • Instant settlement to wallet
  • Check /balance to see new balance

Resolution Timeline

Different market types resolve at different speeds:
Market TypeResolution TimeExample
Sports1-24 hoursNFL game results
Elections1-7 daysOfficial election calls
Economic Data1-3 daysCPI reports, GDP data
Long-termOn deadline”By December 31, 2024”

Disputed Resolutions

If outcome is unclear:
  1. Dispute Period: 2-hour window to challenge
  2. UMA Vote: Token holders vote on correct outcome
  3. Final Resolution: Dispute outcome is binding
  4. Settlement: Payouts based on final decision
Disputed resolutions are rare but the UMA system ensures fairness when they occur.

Market Types

Time-Based Markets

Markets with specific deadlines:
"Will Bitcoin reach $100k by December 31, 2024?"

Key features:
• Clear end date
• Time decay affects pricing
• Resolution at deadline
• No early resolution
Strategy: Price often moves predictably as deadline approaches.

Event-Based Markets

Markets tied to specific events:
"Will the Fed cut rates at the March meeting?"

Key features:
• Resolves when event happens
• Can resolve early
• News-driven price action
• Clear resolution criteria
Strategy: Stay updated on news that could trigger resolution.

Conditional Markets

Markets dependent on other outcomes:
"If Biden wins, will he serve full term?"

Key features:
• Only relevant if condition met
• Complex resolution logic
• Lower liquidity sometimes
• Higher potential returns
Strategy: Analyze both the condition and the question.

Market Liquidity

What is Liquidity?

Liquidity measures how easily you can buy/sell without moving the price: High Liquidity Markets:
  • Many buyers and sellers
  • Tight bid-ask spread
  • Large trades possible
  • Prices stable
Low Liquidity Markets:
  • Few participants
  • Wide bid-ask spread
  • Trades move prices
  • Higher slippage

Checking Liquidity

Look for:
  • 24hr Volume: Higher is better
  • Open Interest: Total $ in market
  • Spread: Price difference between YES/NO
  • Order Book Depth: Available at each price
Low Liquidity Risk: In thin markets, closing positions might be difficult or require accepting worse prices.

Trading Strategies

Value Betting

Find markets where price doesn’t match probability:
Market: "Will it rain tomorrow?"
Weather forecast: 70% chance of rain
Market price: YES $0.50 (50% implied)

Your analysis: Market underpricing rain
Strategy: Buy YES at $0.50
Edge: 70% - 50% = 20 percentage points

Arbitrage

Exploit price differences:
Market A: Event YES at $0.60
Market B: Same event YES at $0.65

Strategy:
• Buy on Market A
• Sell on Market B
• Lock in $0.05 profit
Arbitrage opportunities are rare and quickly eliminated by other traders.

Momentum Trading

Follow price trends:
Pattern: YES moving from $0.40 → $0.60
Momentum: Strong buying pressure
Strategy: Buy YES expecting continued rise
Risk: Trend reversal

Contrarian Trading

Bet against the crowd:
Market: "Will crypto ban pass?"
Sentiment: Panic selling (NO at $0.20)
Your view: Overreaction, won't pass
Strategy: Buy NO at $0.20
Edge: Exploiting emotional overreaction

News Trading

React quickly to information:
News: Major company announces partnership
Market: Slow to react
Strategy: Buy before price adjusts
Risk: News already priced in

Risk Management

Position Sizing

Never risk more than you can afford to lose:
Conservative: 1-5% per trade
Moderate: 5-10% per trade
Aggressive: 10-20% per trade

Kelly Criterion

Optimal position size formula:
f = (bp - q) / b

Where:
f = fraction of bankroll to bet
b = odds (profit if win / loss if lose)
p = probability of winning
q = probability of losing (1 - p)

Example:
True probability: 70%
Market price: $0.50
Kelly: ~40% of bankroll

Practical: Use 25-50% of Kelly result

Diversification

Spread risk across:
  • ✅ Multiple markets
  • ✅ Different categories
  • ✅ Various time horizons
  • ✅ Uncorrelated outcomes
Correlation Risk: Multiple positions on related events (like elections in same country) aren’t truly diversified.

Stop Losses

Set mental or automated stops:
Entry: YES @ $0.70
Stop loss: If drops to $0.50
Max loss: -28.6%
Protects: Against total loss

Advanced Concepts

Implied Volatility

How much prices move: High Volatility Markets:
  • News-driven
  • Uncertain outcomes
  • Wide price swings
  • Higher risk/reward
Low Volatility Markets:
  • Stable pricing
  • Clear outcomes emerging
  • Minimal swings
  • Lower risk/reward

Time Decay

Value changes as deadline approaches:
6 months out: YES $0.60 (high uncertainty)
3 months out: YES $0.65 (gaining confidence)
1 month out: YES $0.75 (becoming likely)
1 week out: YES $0.90 (almost certain)

Limit Orders

Place orders at specific prices:
Current: YES $0.65
Your limit: Buy YES at $0.60
Result: Only executes if price drops to $0.60
Benefit: Better entry price
Contact support to enable limit order features.

Market Psychology

Common Biases

Be aware of these psychological traps: Confirmation Bias:
  • Seeking info that confirms your view
  • Ignoring contradictory evidence
  • Solution: Actively seek opposing views
Recency Bias:
  • Overweighting recent events
  • “What happened recently will continue”
  • Solution: Look at longer history
Anchoring:
  • Fixating on initial price
  • Refusing to update views
  • Solution: Constantly reassess
Herd Mentality:
  • Following the crowd
  • FOMO buying/panic selling
  • Solution: Have independent thesis

Emotional Discipline

Successful trading requires:
  • ✅ Stick to your strategy
  • ✅ Don’t chase losses
  • ✅ Take profits rationally
  • ✅ Accept losses as part of game
  • ✅ Keep emotion out of decisions

Market Categories

Politics

Examples:
• Elections
• Policy outcomes
• Government actions

Characteristics:
• High public interest
• Heavy media coverage
• Good liquidity
• Emotional trading

Sports

Examples:
• Game outcomes
• Season winners
• Player performance

Characteristics:
• Fast resolution
• Statistical analysis helpful
• Sharp bettors active
• Efficient pricing

Economics

Examples:
• Inflation data
• Fed decisions
• GDP growth

Characteristics:
• Expert-heavy markets
• Data-driven
• Less emotional
• Macro analysis needed

Crypto

Examples:
• Bitcoin price targets
• Protocol launches
• Regulatory outcomes

Characteristics:
• High volatility
• 24/7 trading
• Tech-savvy participants
• Correlation with crypto markets

Pop Culture

Examples:
• Award show winners
• Box office results
• Celebrity events

Characteristics:
• Fun markets
• Lower stakes
• Wide participation
• Unpredictable outcomes

Research Resources

Before Trading

Do your homework: Primary Sources:
  • Official announcements
  • Government data
  • Company filings
  • Verified news outlets
Market Analysis:
  • Polymarket comments
  • Trading Discord communities
  • Prediction market aggregators
  • Historical market data
Statistical Tools:
  • FiveThirtyEight (elections)
  • Weather forecasts (weather markets)
  • Sports stats sites
  • Economic calendars
Information Edge: The best trades come from information or analysis that the market hasn’t fully priced in yet.

Common Mistakes

Avoid These Errors
  • ❌ Trading on markets you don’t understand
  • ❌ Ignoring resolution criteria
  • ❌ Overtrading (too many positions)
  • ❌ Chasing price movements emotionally
  • ❌ Risking too much on single trades
  • ❌ Not doing research
  • ❌ Following the herd blindly
  • ❌ Ignoring liquidity

Success Factors

What makes successful traders:
  1. Research: Thorough analysis before trading
  2. Discipline: Stick to strategy and sizing
  3. Patience: Wait for good opportunities
  4. Adaptation: Learn from wins and losses
  5. Risk Management: Never risk too much
  6. Objectivity: Avoid emotional decisions
  7. Continuous Learning: Always improving

Frequently Asked Questions

While possible in low-liquidity markets, it’s difficult and risky. Large manipulation attempts are usually obvious and corrected by other traders. High-liquidity markets are very difficult to manipulate.
Because “sure things” are priced accordingly. A 95% likely outcome only pays 5% profit. Trading is about finding mispriced markets where you have an edge, not just betting on favorites.
By doing better analysis than the market. If your research suggests 70% probability but the market prices it at 50%, that’s potentially mispriced. Your edge comes from superior information or analysis.
Not always! Even if you think YES is more likely, if it’s priced too high (e.g., $0.95 for a 60% likely event), NO might be the better value bet.

Next Steps

Start Trading

Put your knowledge into practice

Track Positions

Monitor and manage your trades

Copy Trading

Learn from successful traders

Get Insider Access

Access premium trading signals

Further Learning

  • Read Polymarket’s official docs
  • Join trading communities
  • Study resolved markets
  • Track successful traders
  • Practice with small positions first