A trader's market cockpit built for clarity, not noise.
GodzillaBTC turns resilient live market data, cached multi-factor analysis, historical validation and risk tools into one transparent research workflow. Built from years of market experience and designed to help traders understand conditions before they act.
Know the market before you act.
Not every directional bias has the same strength.
Highest-evidence BUY / SELL
Requires stronger model score, aligned 4H trend and momentum, 1D trend agreement, 1H timing agreement, at least 30 comparable historical setups and stronger historical TP2/expectancy evidence.
Actionable BUY / SELL
The default signal tier. Requires a valid 4H trend, at least 2 of 3 momentum checks, fresh market data, at least 20 comparable setups, a TP2-before-SL rate above the quality floor and positive historical expectancy.
Directional bias — watch only
The model sees a BUY or SELL bias but one or more publication rules are still missing. It is shown for awareness and monitoring, not as an actionable trade signal.
No qualified setup
Trend, momentum or historical evidence is not strong enough. WAIT is intentional: the engine can reject trades instead of forcing a direction.
12 indicators/features are combined. The primary setup timeframe is 4H, with 1D trend context and 1H timing confirmation. Published signals also require a fresh quote and historical validation of the displayed +2R target versus -1R stop. These are research outputs, not guarantees or financial advice.
Historical estimate of TP2 (+2R) being reached before the -1R stop within the model horizon for comparable setups on the active setup timeframe. It is not a guarantee.
12 indicators and market features work together.
Position sizing
Raw Kelly can be extremely aggressive. The engine intentionally uses a small Kelly fraction and a hard risk ceiling. This is a sizing framework, not a profit guarantee.
Asset matrix
Context before conviction.
USD regime
The production engine will combine scheduled economic releases, central-bank decisions, rates and dollar-strength measures before changing signal confidence.
Source-aware • timestampedVolatility regime
ATR and realized volatility distinguish ordinary conditions from abnormal movement. High-volatility conditions reduce position risk.
Model rule • adaptiveBTC 24/7 filter
Bitcoin uses separate volatility and session assumptions because it trades continuously and can experience larger intraday moves.
Asset-specific logic