Cockpit Literacy

The Trading Dashboard, Decoded

Every "all-in-one" trading screen shows the same five instruments. Knowing what they measure matters more than owning the screen. Tap a floating panel to read it; switch scenarios to see how the whole cockpit re-skins in a rally, a flush, and dead chop.

drag to orbit · tap a panel
Metric reader — tap a HUD panel above

Select a panel

Each panel explains: what the number is, how it is computed, and the classic signal traders read from it. Nothing here is advice — it is vocabulary.

Reading the panels together

Confluence beats any single dial

No metric is a signal alone. Price up + open interest up + positive funding = new leveraged longs piling in (trend has fuel, but crowded). Price up + open interest down = shorts covering (rally may stall when they finish). The cockpit exists so you can cross-check, not so one gauge can decide.

Derivatives data leads spot mood

Funding, open interest, and liquidations all come from perpetual futures — the most leveraged corner of crypto. They move first and loudest. Fear & Greed, by contrast, is a slow composite of volatility, momentum, social chatter, and dominance: a thermometer, not a trigger.

Liquidations are fuel, not cause

A liquidation cascade is forced selling (or forced buying of shorts): each margin call becomes a market order that pushes price into the next cluster of stops. That is why flushes overshoot — and why "long liqs spiking while price stabilizes" is a classic exhaustion tell.

What the dashboard cannot tell you

It is all lagging or coincident

Every panel describes what positioned traders have already done. None of it knows tomorrow's headline, a fund's unwind schedule, or an exchange outage. Dashboards compress information; they do not create foresight.

Metrics get gamed

Funding can be pinned by large players farming the rate. Open interest jumps when one entity hedges across venues. Fear & Greed weights social volume, which bots inflate. Treat extreme readings as questions to investigate, not answers.

One screen, many venues

"Open interest" and "liquidations" are aggregates across exchanges with different contract specs and reporting quality. Two dashboards can legitimately disagree by 10%+. Always check which venues a feed includes before comparing numbers day to day.

The price × open-interest matrix

The single most useful two-panel cross-read on any dashboard. Memorize these four rows and you will read positioning faster than most screens can render it.

Price Open interest Interpretation Character of the move
RisingRisingNew longs opening — fresh capital funds the trendStrong but increasingly crowded
RisingFallingShorts closing — a covering rallyFast, but ends when covering ends
FallingRisingNew shorts opening — bears committing fresh marginTrend has conviction behind it
FallingFallingLongs closing or being liquidated — deleveragingCapitulation; flushes bottom this way

Anatomy of a liquidation cascade

1. The setup

Funding has been elevated for days; open interest sits at a local high. Thousands of longs opened at 10-50x leverage cluster their liquidation prices in a narrow band a few percent below the market — visible on liquidation "heatmap" panels as a bright shelf.

2. The trigger and the loop

Any modest sell — a whale, a headline, thin weekend books — pushes price into the shelf. Margin engines force-close the first tier of longs with market sells, which push price into the next tier. Each liquidation is fuel for the next: mechanical, not emotional.

3. The exhaustion print

The cascade ends when the shelf is spent: the liquidations panel spikes to a multi-week high, open interest has visibly reset lower, and funding flips negative. That combination — not the fear itself — is what veterans call a "reset". The Flush scenario above shows exactly this fingerprint.

Funding-rate regimes at a glance

Near +0.01% / 8h

Baseline. The perp trades in line with spot; leverage is balanced. Annualized this is about 11% — the structural cost of holding a levered long in calm conditions. Dashboards in the Chop scenario sit here.

Above +0.05% / 8h, sustained

Longs are paying over 50% annualized to stay positioned. Historically a crowding flag: the trade still works until it doesn't, but risk/reward for fresh longs degrades sharply. Cross-check with rising OI to confirm crowding is fresh, not stale.

Negative funding, sustained

Shorts pay longs — bearish positioning is crowded. If price refuses to make new lows while funding stays negative, the fuel for a short squeeze is loaded: shorts covering become forced buyers. This is the mirror image of the long-crush setup.

Cockpit glossary

Perpetual future ("perp")

A futures contract with no expiry date, kept near spot price by the funding mechanism instead of settlement. The dominant crypto trading instrument by volume, and the source of funding, OI, and liquidation data.

Index price vs mark price

The index is a volume-weighted spot price across exchanges; the mark price is a smoothed version used to compute liquidations — precisely so a single wick on one venue cannot liquidate everyone. Dashboards should state which they display.

Leverage and maintenance margin

Leverage multiplies exposure relative to collateral; maintenance margin is the minimum equity before force-close. At 20x, a roughly 4-5% adverse move (before fees) reaches liquidation — which is why liquidation shelves cluster so tightly near price.

Dashboard hygiene checklist

Know your sources

  • Which exchanges feed each aggregate number?
  • Is funding shown per-8h or annualized?
  • Is OI in coins or dollars? Dollar OI moves with price even when positions do not

Beware refresh illusions

  • A screen that updates every second invites overtrading on noise
  • Most of these metrics are only meaningful on 4h-daily horizons
  • Alerts on thresholds beat staring at an always-on screen

Keep a decision log

  • Write down which panel combination triggered each decision
  • Review monthly: which reads actually predicted anything?
  • Expect to delete half your indicators — that is progress
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