Elections · April 30, 2029
Best Price
Worst Price
Max Gap
Total Volume
Best: 78.0% on kalshi
Best: 5.0% on kalshi
Best: 1.5% on kalshi
Best: 2.0% on kalshi
Best: 2.0% on kalshi
Best: 2.0% on kalshi
Best: 1.5% on kalshi
Best: 2.0% on kalshi
Best: 1.0% 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.
| Outcome | Platform | Odds | Stake | To win |
|---|---|---|---|---|
| Narendra Modithin | kalshi | 1.28 | $821 | $1053 |
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.
| Rahul Gandhithin | kalshi | 20.00 | $53 | $1052 |
| Amit Shahthin | kalshi | 66.67 | $16 | $1053 |
| Yogi Adityanaththin | kalshi | 50.00 | $21 | $1055 |
| Devendra Fadnavisthin | kalshi | 50.00 | $21 | $1055 |
| Priyanka Gandhi Vadrathin | kalshi | 50.00 | $21 | $1055 |
| N. Chandrababu Naiduthin | kalshi | 66.67 | $16 | $1053 |
| Nitin Gadkarithin | kalshi | 50.00 | $21 | $1055 |
| Akhilesh Yadavthin | kalshi | 100.00 | $11 | $1050 |
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.