Market snapshot: Oct 11, 2026, 9:47 PM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETFinance

Will State Street (STT) beat quarterly earnings?

Name: Will State Street (STT) beat quarterly earnings?
End: 2026-10-14T13:00:00.000Z

Total Volume

$1.27K

Events

Markets

Trade on Polymarket

Will State Street (STT) beat quarterly earnings?

Vol

$1.27K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $1.27K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.27K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Will State Street (STT) beat quarterly earnings?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will State Street (STT) beat quarterly earnings?	Poly	75%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

75%

Top Probability

$1.27K

Volume

Markets

Platforms

About This Event

As of market creation, State Street is estimated to release earnings on October 14, 2026. The Street consensus estimate for State Street's GAAP EPS for the relevant quarter is $3.68 as of market creation. This market will resolve to "Yes" if State Street reports GAAP EPS greater than $3.68 for the relevant quarter in its next quarterly earnings release. Otherwise, it will resolve to "No." The resolution source will be the GAAP EPS listed in the company’s official earnings documents. If State St

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

Open in:ChatGPT Claude Gemini Grok DeepSeek

**Role:** Expert Prediction Market Analyst & Trader
**Objective:** Analyze the provided betting market data to deliver actionable insights, identify mispricings, and perform scenario analysis.
**Current Date:** Sunday, October 11, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Will State Street (STT) beat quarterly earnings?
**Category:** Finance | **Status:** active
**Resolution Date:** Oct 14, 2026 (3 days left)
**Time Pressure:** High

**Description:** As of market creation, State Street is estimated to release earnings on October 14, 2026. The Street consensus estimate for State Street's GAAP EPS for the relevant quarter is $3.68 as of market creation. This market will resolve to "Yes" if State Street reports GAAP EPS greater than $3.68 for the relevant quarter in its next quarterly earnings release. Otherwise, it will resolve to "No." The resolution source will be the GAAP EPS listed in the company’s official earnings documents.

If State St

**Resolution Criteria (Sample):**
"As of market creation, State Street is estimated to release earnings on October 14, 2026. The Street consensus estimate for State Street's GAAP EPS for the relevant quarter is $3.68 as of market creation. This market will resolve to "Yes" if State Street reports GAAP EPS greater than $3.68 for the r"

## 2. Market liquidity & Volume
* **Total Volume:** $1.3K
* **Total Liquidity:** $396
* **Activity Level:** Stable (Vol/Liq Ratio: 3.22)

## 3. Market Data (Prices & Odds)
### 1. Will State Street (STT) beat quarterly earnings?
- **Polymarket** (End: Oct 14, 2026): Vol $1.3K
  DATA: [Yes: 75.0% (0.0%)] | [No: 25.0% (0.0%)]

---

## Analysis Instructions
Please provide a structured analysis using the following template:

### 1. Executive Summary
*   **Verdict:** [Most Likely Outcome]
*   **Confidence:** [0-100]%
*   **Timeframe:** [Immediate / Short-term / Long-term]
*   **Actionable Trade:** [Buy YES / Buy NO / Stay Away] (Include entry price target if applicable)
*   **Rationale:** 2-sentence summary of the core thesis.

### 2. Scenario Analysis
*   **Bull Case (Why YES goes up):** List specific catalysts or data points.
*   **Bear Case (Why YES goes down):** List specifics.
*   **Invalidation Point:** What happens to prove your thesis wrong?

### 3. Market Mechanics & Risks
*   **Liquidity/Volume Analysis:** Is the market efficient? Is it easy to exit?
*   **Cross-Platform Arbitrage:** (If applicable) Is the spread tradeable after fees?
*   **Time Decay:** How does time passing affect this position?

### 4. Signal Scores (0-100)
*   **Momentum:** [Score] (Price trend & velocity)
*   **Conviction:** [Score] (Volume backing the move)
*   **Information Edge:** [Score] (Likelihood of non-public info affecting price)
*   **Risk/Reward:** [Score] (Potential upside vs downside)

**Constraints:**
- Be direct and objective.
- Use bullet points for readability.
- If data is conflicting or insufficient, explicitly state "Low Confidence".

Tap text to select all

Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETFinance