Understanding Markets

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

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:

Price	Implied Probability	Interpretation
$0.95	95%	Almost certain
$0.80	80%	Very likely
$0.65	65%	Moderately likely
$0.50	50%	Toss-up
$0.35	35%	Moderately unlikely
$0.20	20%	Very unlikely
$0.05	5%	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:

Event Occurs

The real-world event happens (or deadline passes)

Verification

Polymarket verifies the outcome using:

Official sources (election results, sports scores)
Data providers (APIs, news feeds)
UMA Protocol oracle system

Resolution

Market is resolved to the correct outcome:

Winning side → $1.00 per share
Losing side → $0.00 per share

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 Type	Resolution Time	Example
Sports	1-24 hours	NFL game results
Elections	1-7 days	Official election calls
Economic Data	1-3 days	CPI reports, GDP data
Long-term	On deadline	”By December 31, 2024”

Disputed Resolutions

If outcome is unclear:

Dispute Period: 2-hour window to challenge
UMA Vote: Token holders vote on correct outcome
Final Resolution: Dispute outcome is binding
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:

months out: YES $0.60 (high uncertainty)
months out: YES $0.65 (gaining confidence)
month out: YES $0.75 (becoming likely)
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:

Research: Thorough analysis before trading
Discipline: Stick to strategy and sizing
Patience: Wait for good opportunities
Adaptation: Learn from wins and losses
Risk Management: Never risk too much
Objectivity: Avoid emotional decisions
Continuous Learning: Always improving

Frequently Asked Questions

Can markets be manipulated?

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.

Why would I trade instead of just betting on outcomes I'm sure about?

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.

How do I know if a market is mispriced?

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.

Should I always bet on the outcome I think will happen?

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

​What Are Prediction Markets?

​How Polymarket Works

​Binary Markets

​Share Mechanics

​Market Pricing

​Reading Prices

​Price vs. Probability

​Market Resolution

​How Markets Resolve

​Resolution Timeline

​Disputed Resolutions

​Market Types

​Time-Based Markets

​Event-Based Markets

​Conditional Markets

​Market Liquidity

​What is Liquidity?

​Checking Liquidity

​Trading Strategies

​Value Betting

​Arbitrage

​Momentum Trading

​Contrarian Trading

​News Trading

​Risk Management

​Position Sizing

​Kelly Criterion

​Diversification

​Stop Losses

​Advanced Concepts

​Implied Volatility

​Time Decay

​Limit Orders

​Market Psychology

​Common Biases

​Emotional Discipline

​Market Categories

​Politics

​Sports

​Economics

​Crypto

​Pop Culture

​Research Resources

​Before Trading

​Common Mistakes

​Success Factors

​Frequently Asked Questions

​Next Steps

Start Trading

Track Positions

Copy Trading

Get Insider Access

​Further Learning

What Are Prediction Markets?

How Polymarket Works

Binary Markets

Share Mechanics

Market Pricing

Reading Prices

Price vs. Probability

Market Resolution

How Markets Resolve

Resolution Timeline

Disputed Resolutions

Market Types

Time-Based Markets

Event-Based Markets

Conditional Markets

Market Liquidity

What is Liquidity?

Checking Liquidity

Trading Strategies

Value Betting

Arbitrage

Momentum Trading

Contrarian Trading

News Trading

Risk Management

Position Sizing

Kelly Criterion

Diversification

Stop Losses

Advanced Concepts

Implied Volatility

Time Decay

Limit Orders

Market Psychology

Common Biases

Emotional Discipline

Market Categories

Politics

Sports

Economics

Crypto

Pop Culture

Research Resources

Before Trading

Common Mistakes

Success Factors

Frequently Asked Questions

Next Steps

Further Learning