SimpleFunctions
KalshiMay 12, 2026

Top US Netflix Show on May 11, 2026?

By SimpleFunctions· Last verified 11 May 2026Methodology

This contract is priced at 1¢ on Kalshi. Current book: 0¢ bid, 1¢ ask, 1¢ spread.

Implied probability

1¢
$857 volume
$857 liquidity
2% of event volume

Event outcomes

14

Family volume

$56K

Best sibling

The Roast of Kevin Hart 4¢

Ticker

KXNETFLIXRANKSHOW-26MAY11-LOV

Market snapshot

Love Is Blind: Poland in market context.

This page tracks the Kalshi contract for Top US Netflix Show on May 11, 2026?. The displayed quote is 1¢ from the latest venue quote. The cached market record reports reported volume of $857. In the Top US Netflix Show on May 11, 2026 family, this outcome ranks #4 of 14 by current quote across 14 sibling outcomes. The indicator bundle was refreshed May 11, 2026, 7:29 PM UTC.

Outcome

Love Is Blind: Poland

Family rank

#4 of 14

Venue

Kalshi

Current quote

Quote source

Latest venue quote

Timing

Listed until May 12, 2026

Reported volume

$857

Family context

14 outcomes · Top US Netflix Show on May 11, 2026

Quote range

1¢-91¢

Family leader

Worst Ex Ever: Season 2 91¢

Last updated

May 11, 2026, 7:29 PM UTC · 0m ago

Venue identifier: KXNETFLIXRANKSHOW-26MAY11-LOV. Family volume: $56K.

Price history

1¢ current

25¢50¢75¢100¢
May 11, 2026May 11, 2026

Orderbook snapshot

0 / 1¢

Kalshi
1¢ spread
BidSize
AskSize
20¢816
44¢2.8K
45¢189
88¢7.8K
100¢15K

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If Love Is Blind: Poland is #1 on the Netflix Top 10 US Show on the chart published on May 12, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

May 12, 2026

Identifier

KXNETFLIXRANKSHOW-26MAY11-LOV

SF Signal
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Blogmarkets

Kalshi vs Polymarket: Which Prediction Market Should You Trade?

In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.

Opinioncomparison

Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)

Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.

Technicalguide

Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity

Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.

Opinionanalysis

Liquidity Availability Is the Real Edge in Prediction Markets

Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.

Blogmarkets

Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity

How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.

Opinionessay

Limit orders on Kalshi: why thesis-informed makers outperform blind spread collectors

How thesis-informed limit orders on Kalshi outperform blind spread collecting. Real orderbook examples with KXWTIMAX and KXRECSSNBER tickers, fill probability math, and catalyst timing.

SimpleFunctions context

Index, screen, query, and monitor.

Open index

How we compute these odds

SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.

For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.

Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.