A crypto market scanner monitors the market in real time and highlights where an event has started: a volatility burst, an unusual volume spike, open interest acceleration, a liquidation wave, or derivatives overheating. The goal is simple: reduce manual monitoring and avoid missing important moves when the market shifts fast.
Let’s keep terminology clean. In this article, a market scanner is the continuous monitoring layer that tracks market events and builds context (moves, volume, derivatives metrics, liquidations). A screener is the rule set that generates the actual signal and sends the alert when the metrics match your conditions.
What A Market Scanner Should Do
A good market scanner answers one question: “What changed right now, and where should I look?”
In practice, that is usually one of five event types:
- Volatility — price moves an unusually large distance in a short window.
- Volume — liquidity turns on and the move becomes harder to fade.
- Derivatives — risk structure shifts via open interest (OI), funding, and premium index.
- Liquidations — cascades accelerate price movement and worsen slippage.
- Operational risk — regimes where entries degrade: delisting notices, trading halts, sudden parameter shifts.
A scanner does not “give entries.” It flags events and builds context; the screener decides whether the event is a tradable signal.
Scanner vs Screeners: A Clean Role Split
The workflow is easiest to manage like this:
- The scanner runs continuous monitoring and surfaces “candidates” where an event starts (anomaly, impulse, overheating, cascade).
- The screener evaluates the candidate against metric thresholds and filters—and fires the signal and sends the alert only when conditions match.
In other words: the scanner provides the data stream and context, while screeners convert it into clear, rules-based yes/no events.
Three Starter Presets For Beginners
1) Movement Radar: Volatility + Volume
Goal: spot meaningful impulses without alert spam.
Track:
- sharp price move over 5–15 minutes;
- volume spike versus baseline.
The scanner tells you where movement starts; the screener decides if it qualifies as your signal.
2) Derivatives Regime: OI + Funding + Premium Index
Goal: detect overheating and dislocations where execution worsens and price becomes jumpy.
Track:
- OI acceleration;
- funding rising or funding regime shifts;
- premium index moving away from a calm zone.
This is about risk control, not prediction. The screener’s job is to filter noise and trigger alerts only when your rules are met.
3) Cascades: Liquidations + Impulse
Goal: identify liquidation waves and avoid blind entries.
Track:
- liquidation spikes;
- price moves with volume and acceleration.
How To Set Alerts Without Burning Out
If alerts fire constantly, you stop reading them. Keep scanners usable with three rules:
- One scenario → one alert (avoid duplicates).
- Thresholds above noise (constant triggers mean it’s too sensitive).
- Each alert must map to an action; otherwise it’s clutter.
What To Do After An Event: A Simple Workflow
The scanner shifts attention to the right instrument. Then:
- Identify the regime: impulse, overheat, cascade.
- Check confirmations: volume, OI, funding/premium, liquidations.
- Choose one action: watch / skip / execute your plan.
This reduces random entries driven by speed and emotion.
How This Works In Crypto-Resources Bots
Our trading bots scan the market continuously across multiple exchanges: Bybit, Binance, OKX, Bitget, Hyperliquid. Then screeners apply rule-based checks on metrics and regimes, and a trade is opened only when the setup is confirmed. This reduces random entries and helps maintain execution discipline during high-volatility conditions.
FAQ
Is a market scanner the same as a screener?
No. A scanner continuously tracks events and surfaces candidates; a screener applies rules to confirm a signal and send alerts.
Do I need a scanner if I trade manually?
Yes. It saves attention and time by directing you to market events instead of random chart checks.
Which events should I start with?
Volatility and volume first. Add derivatives metrics (OI, funding, premium) as an overheating filter. Use liquidations for cascade regimes.
Why are fewer alerts better?
Because spam kills discipline. Alerts should only fire for scenarios where you have a workflow.
Does a scanner replace a strategy?
No. It replaces chaotic monitoring. Your strategy still drives decisions.
Conclusion
A crypto market scanner is an event radar: it continuously monitors changes and highlights where a move or regime shift starts. Screeners remain a separate layer: they validate the event with metrics and rules, generate the signal, and send the alert. With 2–3 scenario presets and thresholds set above noise, a scanner becomes a practical workflow tool rather than another source of notifications.