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BTC

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Auto-generated. This article is rebuilt from app/signals/config/signal_definitions.json by scripts/build_signals_kb.py. Edit the registry entry and re-run the script β€” do not edit this file directly.

BTC

What it is

BTC β€” registry key btc.

Classifier metric. See the bands table below for the band-by-band reading.

Data-pyramid tier

T1 β€” Signal. This metric sits at the signal layer of the platform’s six-tier data pyramid (T0 raw inputs β†’ T5 actionable read). The tier reflects how far the value is from a raw measurement β€” not how strongly it is validated. Abstraction and validation are separate axes: a higher tier is not a claim of stronger evidence.

Horizon & validation

No validated skill horizon is on file for this metric β€” read it as context / a data carrier, not a validated edge. Stamps are added only when a gated research verdict lands.

Source

Source module: liquidity
Data source: back_fillable

Fetched directly from app/sources/liquidity.py; see source code for the upstream API call and any provider-specific handling.

How it’s computed

Raw Bitcoin spot close from market-data fallback ticker BTC-USD, reported in USD. Surfaced under the liquidity source as a risk-on / global-liquidity proxy β€” BTC is sensitive to dollar liquidity expansion and risk-asset appetite, both of which the dashboard reads as confirming signals when bond/equity vol agree. See app/sources/liquidity.py:139 (_fetch_btc). The classifier bands (Risk-on / Neutral / Risk-off) are applied downstream via signal_defs.band_for('btc', value).

Where it surfaces

Bands / thresholds

Classifier direction: higher_is_better.

Range Label Dot Implication Points
β€” Risk-on favorable BULLISH 3
β€” Neutral neutral NEUTRAL 2
β€” Risk-off adverse BEARISH 0

Health-score / alignment role

Release cadence

See also