CryptoFlow v5 is a browser-based BTC order flow workspace. It combines footprint, heatmap, visible volume profile and reaction-aware impact zones so aggressive buying or selling is interpreted by what price did next.
Questions, bugs, or ideas? Email me at info@lag0.io.
Export what is visible, publish a measurable setup link or audit the canonical signal ledger.
The export uses the visible chart and overlays. A signal label is added only when the canonical feed has an active signal for this market.
Exports state that this is automated beta research, not a recommendation. Confidence is never presented as target probability.
The link contains layout settings and campaign tags, never account data.
Report links expire automatically. Emails and prompts are not stored in the public link.
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Tune chart density, order-flow sensitivity, AI visibility and local privacy behavior without leaving the workspace.
Pick the market read first. The rest of the settings only refine that workflow.
Use these to understand auction state before adding event markers or AI context.
V5 distinguishes the aggressor from the resulting role: absorbed selling can become support, while absorbed buying can become resistance.
Exclude this browser from analytics when testing so workspace usage stays decision-useful.
Read modes are the v5 spine. Start with one of them, then only fine-tune what genuinely changes your decision-making.
Read modes change the visible overlay mix only. You can still customize every section afterwards.
These layers help you read fair value, acceptance and structural context. They should stay slower and more stable than the order-flow tools.
This family tracks aggressive initiative, whether it held, failed or got reclaimed. Keep these together so the story stays coherent.
These are the primary order-flow reads. Start here before adding detectors or pattern markers on top.
These are derived pattern markers. Useful when they confirm the read, unnecessary when they only add more ink.
Adjust density only when the heatmap is part of your active view.
Only matters when bubble prints are active. Keep them strict enough that a single decent trade does not light up the chart.
Tune these only if absorption is part of your workflow. Otherwise leave them off and keep the chart simpler.
Higher values reduce noise and only mark heavier absorption zones.
The AI panel reads multi-timeframe structure and local order-flow context, but it should remain an assistant, not the decision-maker.
Uses the local AI analyst and reads multi-timeframe market structure plus live order flow context.
Guests can run 3 scans before a 24h cooldown. Signed-in users see their daily quota directly in the AI panel.
The AI is an assistant, not a signal copier. Always validate the setup yourself.
Use these controls for local behavior, personal testing hygiene and non-chart defaults.
Use this on your own device if you do not want your testing and admin usage to affect analytics.
Open the in-product guide if you need a quick reminder about workflow, controls or AI limits.
Export your settings to a file so you can restore them on another browser or after a reset.
Return all local chart and workspace settings to their defaults if the setup has become messy.
Deployte Modell-Signale gegen die Historie — R-Multiple-Kern, konservative Fills (Stop gewinnt bei Gleichstand), Gebühren inklusive.
The same canonical signal lifecycle now powers a public result ledger and branded chart exports for Reddit, TikTok, Shorts and Reels.
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