SqueezeHunter AI

The AI Analyst will explain why this signal was triggered based on live market data. This explanation is generated from live SqueezeHunter signal data.

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AI Analyst

Contextual market analysis, grounded in real SqueezeHunter data.

• Explains why a signal was triggered — not what to trade
• Synthesizes volatility, flows, positioning, and catalysts
• Uses the same data powering SqueezeHunter signals
• Designed for interpretation, not prediction

Market analysis only. No financial advice. No predictions.

Available to Pro and VIP users who want deeper signal context.

What the signal is

A SqueezeHunter signal is a probability-weighted market condition summary designed to help traders identify high-volatility moments.

• A probability-weighted market condition summary
• Combines volatility compression, positioning/flows, and catalyst risk
• Designed for high-volatility moments (breakouts, squeezes, cascades)

What goes into it

The signal combines multiple data sources to assess market conditions. Here's what we look at:

Volatility & Compression

What we look at: Bollinger squeeze concept, range contraction, volatility compression patterns.

Why it matters: When volatility compresses, it often precedes explosive moves. Tight ranges create pressure that can release violently.

Flows & Liquidity

What we look at: Whale/exchange flows, stablecoin inflows/outflows, large transaction patterns.

Why it matters: Large flows toward or away from exchanges often signal institutional positioning shifts that can trigger cascades.

Catalyst Risk

What we look at: News events, scheduled macro events, prediction market signals.

Why it matters: External events can trigger sudden market moves. Tracking catalysts helps assess the probability of volatility spikes.

Market Structure

What we look at: Trend context, regime shifts, funding rates, open interest patterns.

Why it matters: Market structure provides context for whether current conditions favor continuation or reversal patterns.

Leverage State

Leverage State is a confluence readout that combines Open Interest and Funding Rate snapshots. It does not introduce new data or predictions.

• Inputs: Open Interest status/severity + Funding Rate status/severity from the unified snapshot.
• Rule: OI = buildup and FR = crowded_short => short_squeeze_risk.
• Rule: OI = buildup and FR = crowded_long => long_squeeze_risk.
• Otherwise: neutral.
• Guardrails: requires both severities >= 1. If either input is disabled/unavailable, output stays neutral with "insufficient inputs".

Liquidations

Liquidations summarize forced position closures over short windows (5m/15m), split by long and short. This section reports snapshot data only.

• What it measures: Total liquidations and the long/short split for the selected window.
• Bias: short liquidations dominate => bias long; long liquidations dominate => bias short.
• Severity: 0–3 based on percentile thresholds over history; no percentile data => neutral.
• Fail-soft: disabled/unavailable inputs keep the output neutral with a clear explanation.

Liquidity Stress

Liquidity Stress is a strict confluence check between Leverage State and Liquidations. It reports only when both inputs are elevated.

• Inputs: Leverage State + Liquidations from the unified snapshot.
• Strict trigger: leverage_state is short/long squeeze risk with severity >= 2 AND liquidations is event with severity >= 2.
• Bias: inherits Leverage State bias when high; otherwise neutral.
• Fail-soft: if either input is disabled/unavailable, output remains neutral with "insufficient inputs".

How to read it

Understanding the signal components and their practical interpretation (not trading advice):

Squeeze Score: 0–100

Low (0–30): Low pressure, calm market conditions.

Medium (30–60): Building tension, worth monitoring.

High (60–80): Significant pressure, increased volatility risk.

Critical (80–100): Extreme pressure, high probability of violent moves.

Bias: LONG/SHORT/NEUTRAL

Directional tilt, not certainty. The bias indicates which direction the aggregated signals lean, but it does not guarantee price movement in that direction.

Markets can reverse, and signals can be wrong. Always use proper risk management.

Confidence/Quality

Signal strength, not guarantee. Higher confidence means more data sources agree, but it does not mean the signal will be correct.

Even high-confidence signals can fail. Markets are probabilistic, not deterministic.

Common mistakes

• Chasing late moves: Entering after a move has already started often leads to poor risk/reward.
• Ignoring liquidity conditions: Low liquidity can cause false signals and slippage.
• Treating bias as certainty: A LONG bias does not mean price will go up. Always prepare for the opposite scenario.

What it is NOT

Important clarifications about what SqueezeHunter signals are not:

Not a prediction

The signal assesses current market conditions and probabilities. It does not predict future prices.

Not a guarantee

Even high-confidence signals can be wrong. Markets are inherently uncertain.

Not a trading bot

SqueezeHunter provides information. It does not execute trades or make decisions for you.

Not personalized advice

The signal is general market analysis. It does not consider your risk tolerance, financial situation, or trading goals.

Transparency & Roadmap

Realtime alerts and advanced tiers are coming later. We prioritize accuracy and verification over feature count.

Our focus is on building reliable signals that traders can trust, not on adding features for the sake of it. Every component is tested and verified before release.