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Proven approaches to improve your Skepsis predictions.
πŸ§ͺ Practice risk-free on testnet. Test these strategies with free USDC. Sign in with Google (gas sponsored) or connect your Sui wallet.

Core Strategies

1. The Information Edge πŸ“°

Concept: Trade when you know something the market doesn’t. When to use:
  • Breaking news not yet priced in
  • Domain expertise (you work in the industry)
  • Local knowledge (weather, events)
Example:
You see a credible leaker post "GPT-5 demo next week"
Market still shows Feb-March as most likely
You bet on next week's range before others react
Risk level: 🟑 Medium (information may be wrong)

2. The Contrarian πŸ”„

Concept: Bet against the crowd when they’re overreacting. When to use:
  • Market moved sharply on emotional news
  • Herd mentality is visible
  • Fundamentals haven’t changed
Example:
BTC drops 2% on random FUD tweet
1-hour market probabilities shift dramatically
You bet on recovery (mean reversion)
Risk level: 🟑 Medium (crowd can be right)

3. The Safe Player πŸ›‘οΈ

Concept: Wide ranges, high win rate, small but consistent gains. When to use:
  • New to the platform
  • Building bankroll
  • High liquidity markets
Example:
BTC at $97,000
You bet on $94,000 - $100,000 (huge range)
Odds: 1.3x
Win rate: ~85%
Small but consistent profit
Risk level: 🟒 Low (but low returns too)

4. The Sniper 🎯

Concept: Very narrow ranges, high conviction bets. When to use:
  • Strong analytical edge
  • Specific catalyst known
  • Small position size (it’s risky!)
Example:
Apple earnings after hours
You calculate likely price impact: +$3-5
You bet on very narrow post-earnings range
Odds: 15x
Either big win or total loss
Risk level: πŸ”΄ High (requires real edge)

5. The Hedger πŸ”€

Concept: Use predictions to offset real-world risk. When to use:
  • You have exposure to an outcome
  • Want to reduce variance
  • Not trying to profit, trying to protect
Example:
You're getting married outdoors Saturday
Good weather = great wedding, no bet payout
Bad weather = rough wedding, BUT you win $500

Outcome: You're happy either way
Risk level: 🟒 Low (you’re buying insurance)

Advanced Strategies

The Barbell Strategy πŸ“Š

Split your capital between safe bets and long shots.
Total budget: $100

70%: Safe bet (1.5x odds, ~65% prob)
     $70 β†’ potential $105

30%: Long shot (8x odds, ~12% prob)
     $30 β†’ potential $240

Outcomes:
- Safe wins: +$35 (net profit)
- Long shot wins: +$170 (big win!)
- Both win: +$205 (jackpot!)
- Both lose: -$100 (max loss)
Why it works: Most of the time you grind small profits. Occasionally you hit big.

The Bracket Strategy 🎾

Cover multiple adjacent ranges with decreasing amounts.
Center bet: $50 on $96K-$97K (3x odds)
Edge bet 1: $25 on $95K-$96K (4x odds)
Edge bet 2: $25 on $97K-$98K (4x odds)

You're betting on "around $96K-$97K" with coverage

Outcomes:
- Center hits: Win $150, lose $50 β†’ +$100
- Edge hits: Win $100, lose $75 β†’ +$25
- Miss: Lose $100
Why it works: Reduces the β€œoff by one bucket” frustration.

The Fade Strategy πŸ”»

Bet against ranges that look overpriced.
Market shows BTC $100K-$101K at 25% probability
Your analysis: More like 15%

You don't bet ON $100K-$101K
You bet on everything else (or specific alternatives)

If $100K-$101K is truly overpriced,
adjacent ranges are underpriced
Why it works: Exploits market inefficiencies without betting on unlikely events.

Time Decay Strategy ⏰

Exploit how probabilities shift as resolution approaches.
Date market for product launch, 3 months out:
- All monthly ranges ~equal probability
- Uncertainty is high

As time passes without news:
- Near-term ranges get less likely
- Far-term ranges get more likely

If you believe "probably later than people think":
Bet on later ranges early, get good odds
Why it works: Time itself is information.

Strategy Selection Guide

Your SituationRecommended Strategy
New to SkepsisSafe Player
Have specific knowledgeInformation Edge
Think crowd is wrongContrarian
High confidence viewSniper
Real-world exposureHedger
Want balanced riskBarbell
Afraid of near-missesBracket

Common Mistakes to Avoid

❌ Over-betting Favorites

Range at 60% probability, 1.67x odds
"It's probably going to win!"
Bet 50% of bankroll

Problem: 40% of the time you lose half your money
Fix: Size positions appropriately

❌ Revenge Trading

Lost $100 on a bet
Immediately bet $200 to "make it back"
Lost again
Bet $400...

Fix: Take a break. Stick to your strategy.

❌ Ignoring Liquidity

Found 20x odds on a range
Tried to bet $1000
Slippage ate 30% of expected odds

Fix: Check liquidity before large bets

❌ Analysis Paralysis

Spent 2 hours analyzing a 1-hour market
Market closed before you decided
OR: bet based on outdated analysis

Fix: Timebox decisions proportional to market duration

Bankroll Management

The 1-5% Rule

Never bet more than 1-5% of your total bankroll on a single prediction.
Bankroll: $1,000
Max single bet: $10-50

Why: Even great strategies lose sometimes
10 losses in a row shouldn't wipe you out

The Kelly Criterion (Simplified)

Optimal bet size based on edge:
Bet % = (Your prob - Market prob) / (Odds - 1)

Example:
Market: 4x odds (25% implied)
Your estimate: 35%
Edge: 10%

Bet % = (0.35 - 0.25) / (4 - 1) = 3.3% of bankroll
Conservative approach: Bet half the Kelly amount for safety.

Developing Your Edge

Track Everything

Log each bet:
- Market
- Your reasoning
- Range selected
- Odds received
- Outcome
- Profit/loss

Review weekly:
- Where are you winning?
- Where are you losing?
- Is your strategy working?

Specialize First

Don't try to be good at everything
Pick one market type:
- Short-term BTC? Master that.
- Tech product dates? Own that niche.
- Local weather? Become the expert.

Then expand.

Paper Trade First

New strategy? Test it without real money.
Track theoretical bets for 2 weeks.
Did it work? Go live.
Didn't work? Iterate.

Next Steps

Example MarketsSee strategies in actionexamples
LMSR ExplainedUnderstand the pricing mathLMSR Explained