GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

SAVE Act becomes law by...?

Name: SAVE Act becomes law by...?
End: 2026-04-30T00:00:00.000Z

Total Volume

$551.05K

Events

Markets

Trade on Polymarket

SAVE Act becomes law by...?

Vol

$551.05K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $551.05K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $551.05K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

SAVE Act becomes law by December 31, 2026?

No data available

Single-Platform Markets(1)

Market	Platform	Price
SAVE Act becomes law by December 31, 2026?	Poly	11%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

11%

Top Probability

$551.05K

Volume

Markets

Platforms

About This Event

This market will resolve to “Yes” if any bill, measure, or resolution that requires proof of U.S. citizenship as a condition for registering to vote in U.S. federal elections is passed by both chambers of the U.S. Congress and signed into law, or is otherwise enacted into U.S. federal law, by the specified date, 11:59 PM ET. Otherwise, this market will resolve to "No". Examples of qualifying legislation include H.R. 22, the “SAVE Act,” and H.R. 7296, the “SAVE America Act.” The primary resolut

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:** Saturday, September 5, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** SAVE Act becomes law by...?
**Category:** Politics | **Status:** active
**Resolution Date:** Apr 30, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve to “Yes” if any bill, measure, or resolution that requires proof of U.S. citizenship as a condition for registering to vote in U.S. federal elections is passed by both chambers of the U.S. Congress and signed into law, or is otherwise enacted into U.S. federal law, by the specified date, 11:59 PM ET. Otherwise, this market will resolve to "No".

Examples of qualifying legislation include H.R. 22, the “SAVE Act,” and H.R. 7296, the “SAVE America Act.”

The primary resolut

**Resolution Criteria (Sample):**
"This market will resolve to “Yes” if any bill, measure, or resolution that requires proof of U.S. citizenship as a condition for registering to vote or to vote in U.S. federal elections is passed by both chambers of the U.S. Congress and signed into law, or is otherwise enacted into U.S. federal law"

## 2. Market liquidity & Volume
* **Total Volume:** $234.5K
* **Total Liquidity:** $15.4K
* **Activity Level:** High Turnover (Vol/Liq Ratio: 15.21)

## 3. Market Data (Prices & Odds)
### 1. SAVE Act becomes law by December 31, 2026?
- **Polymarket** (End: Apr 30, 2026): Vol $234.5K
  DATA: [Yes: 10.5% (0.0%)] | [No: 89.5% (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.

POLYMARKETPolitics