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Where does the money come from? Where does it go? How does Skepsis stay solvent?

The Simple Version

Money In: Traders pay for shares
Money Out: Winners get paid

The Protocol: Manages the flow, takes a small fee
That’s it. No complex token economics. No ponzinomics. Just predictions and payouts.

The Money Flow

Step 1: Market Creation

A market creator deposits initial liquidity:
Creator deposits: $10,000 USDC
This becomes: The prize pool
This liquidity enables trading from day one.

Step 2: Trading

Traders buy shares in ranges they believe will win:
Alice buys: $100 on range $96K-$97K (gets 400 shares)
Bob buys: $200 on range $97K-$98K (gets 500 shares)  
Charlie buys: $150 on range $95K-$96K (gets 800 shares)

Pool grows: $10,000 + $100 + $200 + $150 = $10,450

Step 3: Resolution

The outcome is revealed, winners claim:
Result: BTC = $97,200 (Bob's range wins!)

Bob's 500 shares × $1 = $500 payout
Alice: $0 (wrong range)
Charlie: $0 (wrong range)

Bob's profit: $500 - $200 = $300 ✅

Step 4: Remaining Balance

After all claims:
Pool started: $10,450
Bob claimed: $500
Pool remaining: $9,950

This stays in the system for:
- LP withdrawal
- Protocol fees
- Next market seeding

Where Winners’ Money Comes From

Source 1: Losing Bets

The primary source. When you lose, your bet goes to:
  1. Pay winners
  2. Protocol fees
  3. LP returns
Losers paid: $250 (Alice + Charlie)
Winner received: $500 (Bob)
Gap of $250 from: Initial liquidity

Source 2: Initial Liquidity

When losers don’t cover winners, the initial liquidity bridges the gap.
Initial LP: $10,000
Total bets: $450 (Alice $100, Bob $200, Charlie $150)
Pool: $10,450

If winners claim $500:
Losers contribute: $250
LP contributes: $250
Winner receives: $500

Source 3: LMSR Pricing Premium

The LMSR algorithm builds in a small edge for the market maker:
Sum of all range probabilities = 100%
Sum of implied prices = slightly > $1 (spread)

This spread = market maker's edge = system stays solvent

The Solvency Guarantee

Critical question: Can the market always pay winners? Answer: Yes, by mathematical design.

How LMSR Guarantees Solvency

Max possible payout = Total shares × $1/share
Pool balance = Initial liquidity + All bets - Payouts

LMSR ensures: Pool balance ≥ Max possible payout (always)

The Alpha Parameter

The alpha (α) in LMSR is calibrated to ensure:
Max LP loss = 50% of initial liquidity

If creator deposits $10,000:
Worst case for LP: Lose $5,000
Best case for LP: Profit from fees and losers
This is a known, bounded risk.

Extreme Scenarios

What if everyone bets on the winning range?
All traders bet on Range C
Range C probability → very high
Range C odds → very low (close to 1x)

Result: Everyone wins... but wins very little
Pool still covers all payouts
The system self-balances.

Fee Structure

Trading Fees

A small fee on each transaction:
Fee: 0.3% (30 basis points)

On a $100 bet:
Fee: $0.30
Net bet: $99.70

Where Fees Go

Total fees collected
├── Protocol treasury (30%)
├── Market creator (30%)  
└── Liquidity providers (40%)

Why Fees Exist

  1. Protocol sustainability — Development, infrastructure, audits
  2. Creator incentives — Reward for creating good markets
  3. LP incentives — Return for providing liquidity

For Market Creators

The Investment

Create market with $10,000 liquidity
Risk: Lose up to 50% ($5,000) in worst case
Return: Share of trading fees + any remaining liquidity

The Return

Market generates $50,000 in trading volume
Fees at 0.3%: $150
Creator share (30%): $45

Plus: Return of remaining liquidity at market close

Risk/Reward

OutcomeCreator Result
Low volume, balanced betting~$0 profit, get liquidity back
High volume, balanced bettingFee profit + most liquidity back
Low volume, unbalanced bettingPossible small loss
High volume, unbalanced bettingFee profit may offset LP loss

For Traders

Your Money Flow

You bet $100:
├── $99.70 goes to buy shares
└── $0.30 goes to fees

If you win:
You receive: Shares × $1/share = deterministic payout

If you lose:
Your $99.70 pays other winners

Expected Value

EV = (Your probability estimate × Payout) - Cost

Positive EV = Good bet
Negative EV = Bad bet

Example:
Market says: 25% (4x odds)
You think: 35%
EV = (0.35 × $400) - $100 = +$40 ✅

Economic Incentives Summary

For Traders

  • Bet early → Better odds (prices haven’t moved)
  • Bet against crowd → Higher potential returns
  • Be right → Profit

For Market Creators

  • Create interesting markets → More volume → More fees
  • Set appropriate ranges → Better UX → More bets
  • Bootstrap liquidity → Attract early traders

For the Protocol

  • More markets → More fees
  • Better UX → More users
  • Solvency → Trust → Growth

Comparison: Where Money Flows

Traditional Betting (Casino/Sportsbook)

You bet $100
House edge: 5-10%
House always profits
Zero-sum for bettors

Prediction Markets (Polymarket-style)

You bet $100 against other users
Platform takes ~2% fee
Winners take from losers
Platform always profits

Skepsis

You bet $100 against the market state
LMSR prices your bet fairly
If you have edge, you profit
Platform takes 0.3% fee
LPs take bounded risk for fee share
Key difference: Skepsis rewards accurate predictions, not just being on the winning side of a 50/50.

FAQ

”What if no one bets on the winning range?”

The initial liquidity pays winners. This is by design—LPs take this risk in exchange for fees.

”Can the market run out of money?”

No. LMSR mathematically guarantees solvency. The alpha parameter ensures max payout ≤ pool balance.

”Why would anyone provide liquidity?”

Expected return = Fees earned - LP losses With balanced betting and sufficient volume, this is positive.

”Is this sustainable?”

Yes. The 0.3% fee covers:
  • Protocol costs
  • Creator rewards
  • LP incentives
No external token subsidies needed.

Next Steps

Trust & ResolutionHow outcomes are determined fairlyTrust & Resolution
LMSR ExplainedThe math behind solvencyLMSR Explained