This tutorial helps you use it multi-timeframe scanning on AurexisLabs intentionally: not to click scan for fun, but to feed a repeatable research pipeline.
Step 1 — Prepare
- Determine the market you trade: BTC dominants, ETH, or a liquid basket of altcoins.
- Record short macro bias (risk-on / risk-off) from layer A news — see filter news.
- Login to Labs: /login (use trial/demo according to existing package).
Step 2 — Run multi-timeframe scan
Scan to see consensus/divergence between frames. Prioritize codes:
- Agree in the same direction as your major bias;
- Enough liquidity so that the stop is not "overtaken" unreasonably;
- Have a catalytic story or clean structure — not just a pretty score.
Step 3 — Manual confirmation
Open original chart: swing, price range, ATR for stop. See more thinking in read multi-timeframe Bitcoin.
Step 4 — Risk plan
Apply checklist risk management. No R and invalidation → no trade.
Step 5 — Demo or small size
The new process should run on Demo or minimum size 1–2 weeks.
Scan is binoculars — you're still the driver. Don't let scores replace responsibility.
Super Scan vs multi-timeframe scan
Multi-timeframe scanning is the background; Super Scan emphasizes the synthetic consensus layer. Read What is Super Scan? to choose the right tools for your research session.
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Ready to try the process? Visit AurexisLabs · Learn about the above products home page.