Elections · June 23, 2027
Best Price
Worst Price
Max Gap
Total Volume
Best: 9.0% on kalshi
Best: 7.0% on kalshi
Best: 9.0% on kalshi
Best: 3.5% on kalshi
Best: 3.5% on kalshi
Best: 3.5% on kalshi
Best: 14.0% on kalshi
Best: 12.0% on kalshi
Best: 9.5% on kalshi
Best: 9.0% on kalshi
Best: 9.0% on kalshi
Best: 9.0% 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.
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.
| Outcome | Platform | Odds | Stake | To win |
|---|---|---|---|---|
| Darializa Avila Chevalier, 0-3%thin | kalshi | 11.11 | $92 | $1020 |
| Darializa Avila Chevalier, 3-6%thin | kalshi | 14.29 | $71 | $1020 |
| Darializa Avila Chevalier, 6-9%thin | kalshi | 11.11 | $92 | $1020 |
| Darializa Avila Chevalier, 9-12%thin | kalshi | 28.57 | $36 | $1020 |
| Darializa Avila Chevalier, 12-15%thin | kalshi | 28.57 | $36 | $1020 |
| Darializa Avila Chevalier, ≥15%thin | kalshi | 28.57 | $36 | $1020 |
| Adriano Espaillat, 0-3%thin | kalshi | 7.14 | $143 | $1021 |
| Adriano Espaillat, 3-6%thin | kalshi | 8.33 | $122 | $1020 |
| Adriano Espaillat, 6-9%thin | kalshi | 10.53 | $97 | $1020 |
| Adriano Espaillat, 9-12%thin | kalshi | 11.11 | $92 | $1020 |
| Adriano Espaillat, 12-15%thin | kalshi | 11.11 | $92 | $1020 |
| Adriano Espaillat, ≥15%thin | kalshi | 11.11 | $92 | $1020 |
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.