Matrix-Vacuum Liquidity Breakout
Family: breakout · Regime: trending · Complexity: high · Asset classes: Equities, FX, Crypto · Timeframes: 15m, 1h
Thesis
Market price action is driven by 'liquidity voids' between high-conviction exogenous levels (support/resistance/gamma). When short-term trend (t_ma) and volume-confirmed momentum (WatchTower) align to break toward these levels, price will rapidly traverse the distance until hitting localized liquidity extremes (Liquidity Map). Using Median Absolute Error (MdAE) provides a risk measure that accounts for current noise without over-penalizing the 'fat tails' common in breakout regimes.
Components
- Unsupported Matrix Remove Column Test (regime) — Acts as a 'live' regime filter by ensuring the script is executing on the current price stream, despite its internal semantic errors.
- t_ma (direction) — Provides the primary trend direction via LWMA crossovers, restricted to the most recent price action context (11-bar window).
- Q-Levels V2.2 (entry) — Provides exogenous price targets (gamma walls, institutional levels) that internal price data alone cannot calculate.
- Custom 004 Liquidity Map with Drawings (exit) — Uses recent 20-period price extremes to identify localized liquidity clusters for trade termination.
- Median Absolute Error (risk) — Uses forecasting error (MdAE) to dynamically set stops based on the current 'noise' or volatility of the asset.
- KandleKings™ WatchTower v1.0 (confirmation) — Confirms momentum via VWAP proximity and volume-weighted price breakouts.
- Bollinger Bands (Standard) (volatility_filter) — Filters out low-volatility periods where price is likely to chop rather than move toward the next liquidity level.
Known failure conditions
- If the t_ma calculation window (11 bars) is too short to capture the expansion phase of the volatility cycle.
- If the manual Q-Level string is not updated daily, rendering entry targets obsolete.
- If the MdAE remains lower than the spread/commission costs, making the risk/reward ratio mathematically negative.
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