The Fragmentation Problem
Prediction market liquidity is scattered across multiple platforms, each with its own:- Order books
- User bases
- Fee structures
- Regulatory jurisdictions
What is Liquidity?
Liquidity = the ability to buy or sell without significantly moving the price.
- Tight bid-ask spreads
- Large order sizes possible
- Fast execution
- Minimal slippage
- Wide spreads
- Limited capacity
- Slow fills
- Price impact on trades
The Current Landscape
- Platform Breakdown
- Liquidity Distribution
| Platform | Markets | Avg. Daily Volume | Users |
|---|---|---|---|
| Polymarket | ~7,000 | $50M+ | Global (non-US) |
| Kalshi | ~3,400 | $5M+ | US only |
| PredictIt | ~500 | $1M+ | US only |
| Metaculus | ~10,000 | N/A | Global (no trading) |
Why Fragmentation Exists
Regulatory Barriers
Regulatory Barriers
Different jurisdictions, different rules.
- Polymarket operates offshore, inaccessible to US users
- Kalshi is CFTC-regulated, US-only
- PredictIt has a no-action letter with strict limits
- Each platform serves a captive audience
Technology Silos
Technology Silos
No interoperability between platforms.
- Different APIs and authentication
- Different order types and matching engines
- No cross-platform settlement
- Capital locked in each venue
Network Effects
Network Effects
Users follow users.
- Traders go where liquidity is
- Liquidity goes where traders are
- First-mover advantage creates moats
- Switching costs keep users locked in
Information Differences
Information Differences
Different user bases know different things.
- Crypto users prefer Polymarket
- Finance professionals use Kalshi
- Academic forecasters use Metaculus
- Each community has unique insights
The Cost of Fragmentation
Wider Spreads
Liquidity split across platforms = less depth on each = wider spreads.Price Discrepancies
Same event, different prices. Arbitrage opportunity = money left on the table.Higher Slippage
Large orders move the market more when liquidity is thin.Missed Opportunities
US traders can’t access the deepest liquidity (Polymarket). International traders miss regulated markets (Kalshi).How Matchr Addresses Fragmentation
1. Unified View
See liquidity across all platforms in one interface:2. Aggregated Depth
Understand true market depth by combining orderbooks:3. Smart Routing
Route orders to the venue with best execution:Analyze
Check prices and depth across all venues
Compare
Account for fees, slippage, and settlement
Route
Execute on optimal venue automatically
4. Cross-Platform Matching
Identify equivalent markets to find the best price:Measuring Liquidity
Key metrics we track:| Metric | Description |
|---|---|
| Spread | Difference between best bid and ask |
| Depth | Total $ available within X% of mid |
| Volume | Trading activity over time |
| Slippage | Expected price impact for order size |
Liquidity Score
We calculate a composite liquidity score (0-100) for each market:The Future: Liquidity Aggregation
Coming Soon: True liquidity aggregation with cross-platform execution.
Phase 1 (Now)
- View all markets in one place
- See prices across platforms
- Execute on single platform
Phase 2 (Next)
- Smart order routing
- Automatic best execution
- Split orders across venues
Phase 3 (Future)
- Cross-platform settlement
- Unified margin
- Single capital pool
Best Practices
Check Multiple Venues
Always compare prices before trading. The best price may not be on your usual platform.
Consider Depth
For large orders, check orderbook depth. Thin markets have high slippage.
Use Limit Orders
Avoid market orders in fragmented markets. Set your price and wait.
Watch for Convergence
Prices tend to converge as resolution approaches. Time your trades accordingly.
