SimpleFunctions

Russell Fry · KXPRIMARYPLACE-KXSCRSENS26-2

Russell Fry is priced at 32¢ on Kalshi. Current book: 29¢ bid, 31¢ ask, 2¢ spread. This outcome ranks #2 of 5 inside KXPRIMARYPLACE-KXSCRSENS26-2.

Price history

32¢ current

+20¢
25¢
Jul 21, 2026Aug 9, 2026

Contract brief

If Russell Fry finishes in 2nd place in the first round of the South Carolina Republican Senate special primary according to the certified results, then the market resolves to Yes.

Outcome

Russell Fry

Rank

#2 of 5

Leader

Ralph Norman 49¢

Range

1¢-49¢

Family volume

$334

Identifier

KXPRIMARYPLACE-KXSCRSENS26-2-RFRY

Aug 9, 2026, 8:39 PM UTC · 44m ago

Implied probability

32¢
Latest venue quote
Aug 9, 2026, 8:39 PM UTC · 44m ago

Bid

29¢

Ask

31¢

Spread

Reported volume

$4K

Family rank

#2 of 5

5 outcomes · KXPRIMARYPLACE-KXSCRSENS26-2

Closes

Jul 22, 2027

Family volume

$334

Orderbook snapshot

29 / 31¢

Kalshi
2¢ spread
BidSize
29¢52
25¢100
24¢200
13¢46
12¢178
AskSize
31¢100
32¢100
34¢200
62¢212
63¢85

Contract terms

What resolves this market.

YES condition

If Russell Fry finishes in 2nd place in the first round of the South Carolina Republican Senate special primary according to the certified results, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 22, 2027

Identifier

KXPRIMARYPLACE-KXSCRSENS26-2-RFRY

SF Signal
SF Index
128.87
Regime
neutral

Event family

KXPRIMARYPLACE-KXSCRSENS26-2.

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

Total volume

$334

Outcomes

5

Highest price

Ralph Norman 49¢

Current share

0%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

257.7%

IY (No)

43.0%

Adj IY

129%

CRI

2

Overround

-0.1%

Regime

neutral

Score

0.5

Full indicator table

257.7%
43.0%
Adj IY
129%
2
Overround
-0.1%

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.

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.

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.

Technicalguide

Your First Prediction Market Trade: End-to-End CLI Walkthrough

Step-by-step CLI tutorial for your first prediction market trade. Install, scan, create a thesis, find edges, check liquidity, place an order, and monitor — all from the command line.

Opinionanalysis

Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens

Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.

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.