SimpleFunctions

What will Tesla say during their next earnings call

Cybertruck is priced at 49¢ on Kalshi. Current book: 41¢ bid, 48¢ ask, 7¢ spread. This outcome ranks #11 of 16 inside What will Tesla say during their next earnings call.

Price history

49¢ current

+1¢
0¢25¢50¢
Sep 9, 2026Sep 17, 2026

Contract brief

If Cybertruck is said by any Tesla representative (including the operator of the call) during the next Tesla earnings call (including the Q+A), then the market resolves to Yes.

Outcome

Cybertruck

Rank

#11 of 16

Leader

Cybercab 95¢

Range

9¢-95¢

Family volume

$7

Identifier

KXEARNINGSMENTIONTSLA-26OCT28-CYBR

Sep 17, 2026, 9:08 PM UTC · 19m ago

Implied probability

49¢
Latest venue quote
Sep 17, 2026, 9:08 PM UTC · 19m ago

Bid

41¢

Ask

48¢

Spread

Reported volume

$174

Family rank

#11 of 16

16 outcomes · What will Tesla say during their next earnings call

Closes

Mar 31, 2027

Family volume

$7

Orderbook snapshot

41 / 48¢

Kalshi
7¢ spread
BidSize
100¢20
41¢85
39¢100
5¢29
4¢100
AskSize
48¢23
49¢100
67¢12
72¢1
75¢15

Contract terms

What resolves this market.

YES condition

If Cybertruck is said by any Tesla representative (including the operator of the call) during the next Tesla earnings call (including the Q+A), then the market resolves to Yes.

Venue

Kalshi

Closes

Mar 31, 2027

Identifier

KXEARNINGSMENTIONTSLA-26OCT28-CYBR

SF Signal
SF Index
140.60
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

281.2%

IY (No)

125.0%

Adj IY

141%

CRI

2

Overround

13.1%

Regime

neutral

Score

0.5

Full indicator table

281.2%
125.0%
Adj IY
141%
2
Overround
13.1%

Related readings

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

Browse library
Blogmacro

US Recession 2025? What 1% Prediction Market Odds Get Right—and Wrong—About the Cycle

Prediction markets put 2025 US recession odds near 1%, while yield curves, economic indicators, and institutional forecasts point to much higher risk. This deep dive compares market pricing to historical base rates, Federal Reserve policy, and forecasting models to see if investors are underpricing recession risk.

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.

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.

Bloggeopolitics

US-Iran War and Oil: What Prediction Markets Are Actually Pricing

What prediction markets are pricing for the US-Iran conflict, oil prices, Hormuz disruption, and recession risk. Causal tree analysis with specific Kalshi and Polymarket contracts.

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.