Why SqueezeHunter exists
Crypto moves fast, and the information that matters is fragmented across structure, liquidity, flows, funding, open interest, and sentiment. Most tools show data. Very few help you read pressure.
SqueezeHunter exists to make high-volatility conditions explainable: what is building, what is releasing, and what the market is implicitly pricing in.
What this is — and what it is not
SqueezeHunter is
- A market intelligence platform focused on volatility conditions
- A pressure reader for structure, liquidity, and short-interest context
- Snapshot-first: clear states of the market, not reactive noise
- Designed for human decision-making, not automated execution
SqueezeHunter is not
- A trading bot or trade execution system
- A signal copier or "buy/sell" oracle
- A brokerage, exchange, or custodian
- Financial advice
The goal is clarity. You stay in control.
Snapshots, not noise
Many dashboards feel "alive" but deliver confusion: rapid updates, conflicting signals, and no coherent state. SqueezeHunter is built around snapshots — a unified view of the market at a point in time.
This makes analysis reproducible: what you saw can be re-checked, compared, and audited. It also reduces indicator chaos and forces disciplined interpretation.
Data provenance
- Aggregated market data and derived indicators, validated before publishing
- Snapshot-first publishing with exact asOf timestamp (UTC)
- Integrity fingerprinting via checksum
- Full audit path via raw JSON in the Snapshot Viewer
"SqueezeHunter doesn’t simplify the market. It makes it readable."
How we use AI (carefully)
SqueezeHunter AI is an analyst of real data collected by the system. It does not decide trades and never replaces your judgment. Its outputs are factual summaries of what a snapshot shows. No invented data. No hidden assumptions.
Grounded
AI must be grounded in visible inputs — snapshots only.
Explanatory
Outputs are explanations and summaries, never trade instructions.
Honest
When uncertain, the system says so clearly.
Auditability
Every AI summary is tied to a timestamped snapshot. You can audit the exact inputs, sources, and state that the summary is based on. Each snapshot includes a checksum that proves integrity — if any value changes, the checksum changes.
Open Snapshot Viewer →Who this is built for
Best fit
- Traders who want context, not hype
- Analysts who care about market structure and flows
- Builders who value transparency and constraints
Not the goal
- "Just tell me what to buy" behavior
- Influencer-driven pump narratives
- Anything implying guaranteed outcomes
Transparency pledge
Trust is not a feature. It is the product.