Economics · January 1, 2033
Best Price
Worst Price
Max Gap
Total Volume
Best: 3.0% on kalshi
Best: 18.0% on kalshi
Best: 15.5% on kalshi
Best: 1.5% on kalshi
Best: 4.0% on kalshi
Best: 11.5% on kalshi
Best: 5.0% on kalshi
Best: 4.0% on kalshi
Best: 15.5% on kalshi
Best: 5.5% on kalshi
Best: 3.0% on kalshi
Best: 1.5% on kalshi
For each outcome, the total fillable capacity if you split across every venue (Polymarket order-book depth + Kalshi order-book depth + Pinnacle / Bet365 / DraftKings stake limits). A whale can't deploy $50k on Polymarket alone without moving the price — but the same $50k splits cleanly across 4 venues at a much tighter aggregate fill price. That's what this panel shows.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
| Outcome |
|---|
Capital on each platform stays locked until that market settles. When platforms resolve at different times the earlier one frees up bankroll for the next opportunity.
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Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
What you can deploy retail-sized across every venue without moving a single market.
Algo-trader tier — combines order-book depth and per-book stake limits at $25k each.
Theoretical ceiling at our data: full SB stake limits + PM/Kalshi depth-25k floor.
| Platform |
|---|
| Odds |
|---|
| Stake |
|---|
| To win |
|---|
| Larry Ellisonthin | kalshi | 33.33 | $34 | $1137 |
| Mark Zuckerbergthin | kalshi | 5.56 | $205 | $1136 |
| Jeff Bezosthin | kalshi | 6.45 | $176 | $1136 |
| Bernard Arnault & familythin | kalshi | 66.67 | $17 | $1133 |
| Warren Buffettthin | kalshi | 25.00 | $46 | $1138 |
| Larry Pagethin | kalshi | 8.70 | $131 | $1137 |
| Sergey Brinthin | kalshi | 20.00 | $57 | $1136 |
| Steve Ballmerthin | kalshi | 25.00 | $46 | $1138 |
| Jensen Huangthin | kalshi | 6.45 | $176 | $1136 |
| Sam Altmanthin | kalshi | 18.18 | $63 | $1136 |
| Michael Dellthin | kalshi | 33.33 | $34 | $1137 |
| Changpeng Zhaothin | kalshi | 66.67 | $17 | $1133 |
Stake the listed amount on each outcome at the matching platform. Whichever outcome wins, the payout covers the full bankroll plus the margin shown. Verify prices before placing — odds drift quickly.