SimpleFunctions

Will the listed Democratic Senate candidates all win their primary elections

Will the listed Democratic Senate candidates all win their primary elections is priced at 62¢ on Kalshi. Current book: 58¢ bid, 62¢ ask, 4¢ spread. This page tracks a standalone prediction-market contract.

Price history

62¢ current

+7¢
60¢
May 27, 2026Jun 22, 2026

Contract brief

If ALL of the following Democratic candidates win their 2026 Senate primary elections: Juliana Stratton in Illinois, Graham Platner in Maine, Mallory McMorrow OR Abdul El-Sayed in Michigan, Peggy Flanagan in Minnesota, and Ed Markey in Massachusetts, then the market resolves to Yes.

Outcome

Will the listed Democratic Senate candidates all win their primary elections

Rank

Standalone

Leader

Range

Family volume

$54K

Identifier

KXDEMPROGRESSIVESENATESWEEP-26NOV03

Jun 24, 2026, 10:38 AM UTC · 4m ago

Implied probability

62¢
Latest venue quote
Jun 24, 2026, 10:38 AM UTC · 4m ago

Bid

58¢

Ask

62¢

Spread

24h volume

$36

Family rank

Standalone

Standalone contract

Closes

Nov 3, 2027

Family volume

$54K

Orderbook snapshot

58 / 62¢

Kalshi
4¢ spread
BidSize
58¢475
57¢100
55¢250
53¢2.0K
42¢22
AskSize
62¢250
63¢500
99¢150
99¢56

Contract terms

What resolves this market.

YES condition

If ALL of the following Democratic candidates win their 2026 Senate primary elections: Juliana Stratton in Illinois, Graham Platner in Maine, Mallory McMorrow OR Abdul El-Sayed in Michigan, Peggy Flanagan in Minnesota, and Ed Markey in Massachusetts, then the market resolves to Yes.

Venue

Kalshi

Closes

Nov 3, 2027

Identifier

KXDEMPROGRESSIVESENATESWEEP-26NOV03

SF Signal
SF Index
50.69
Regime
neutral

Event family

This market.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$54K

Outcomes

1

Highest price

Will the listed Democratic Senate candidates all win their primary elections 62¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Observability

medium

Event type

political

Full indicator table

53.2%
101.4%
Adj IY
51%
1
8.000

Related readings

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

Browse library
Blogpolitics

US Midterm Elections 2026 Prediction Markets: Trading the Battle for Congress

A deep‑dive guide for prediction market traders on the 2026 US midterm elections: House and Senate control odds, key races, Trump’s impact, economic and approval scenarios, polling accuracy, and data‑driven trading strategies.

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.

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.

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.

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.