SimpleFunctions

Pete Crow-Armstrong · KXMLBSEASONHR-26C30

Pete Crow-Armstrong is priced at 50¢ on Kalshi. Current book: 48¢ bid, 51¢ ask, 3¢ spread. This outcome ranks #5 of 16 inside KXMLBSEASONHR-26C30.

Price history

50¢ current

+44¢
0¢25¢50¢
May 26, 2026Jun 22, 2026

Contract brief

If Pete Crow-Armstrong records 30+ home runs across all games during the 2026 Pro Baseball regular season, then the market resolves to Yes.

Outcome

Pete Crow-Armstrong

Rank

#5 of 16

Leader

Matt Olson 78¢

Range

3¢-78¢

Family volume

$527

Identifier

KXMLBSEASONHR-26C30-PCROWARMSTRONG4

Jun 23, 2026, 12:38 AM UTC · 8m ago

Implied probability

50¢
Latest venue quote
Jun 23, 2026, 12:38 AM UTC · 8m ago

Bid

48¢

Ask

51¢

Spread

24h volume

$222

Family rank

#5 of 16

16 outcomes · KXMLBSEASONHR-26C30

Closes

Oct 3, 2026

Family volume

$527

Orderbook snapshot

48 / 51¢

Kalshi
3¢ spread
BidSize
48¢2
47¢100
45¢175
40¢150
39¢19
AskSize
51¢41
55¢200
65¢100
75¢100
84¢698

Contract terms

What resolves this market.

YES condition

If Pete Crow-Armstrong records 30+ home runs across all games during the 2026 Pro Baseball regular season, then the market resolves to Yes.

Venue

Kalshi

Closes

Oct 3, 2026

Identifier

KXMLBSEASONHR-26C30-PCROWARMSTRONG4

SF Signal
SF Index
192.78
Regime
neutral

Browse this series

MLB Player Season Home Run Total Markets
Per-series collection — every live contract in the KXMLBSEASONHR series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

385.6%

IY (No)

328.5%

Adj IY

193%

CRI

1

Overround

16.4%

Regime

neutral

Score

0.5

Full indicator table

385.6%
328.5%
Adj IY
193%
1
Overround
16.4%

Odds pages

Related prediction questions

Browse odds

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.

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.

Technicalrisk

Reading Prediction Market Orderbooks: Liquidity, Spread, and When to Enter

How to read prediction market orderbooks on Kalshi. Covers bid-ask spread analysis, liquidity scoring, executable edge calculation, and when thin markets are opportunities vs traps.

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.