Float-Cycle Structure Adaptive Strategy

Family: pullback · Regime: trending · Complexity: high · Asset classes: Equities, Futures, FX (Major Pairs) · Timeframes: H1, H4

Thesis

Price trends are finite and governed by the turnover of the 'float' (the volume required to rotate positions from sellers to buyers). By entering pullbacks when the current swing's volume turnover is low relative to the historical float, we capture the meat of the move before exhaustion. The use of adaptive envelopes allows us to stay in the trade as long as volatility supports the momentum, while exogenous Q-Levels (Gamma/Expected Moves) provide structural safety nets that price action alone cannot predict.

Components

Float Indicator (regime) — Determines if the current swing has 'room' to move based on volume turnover; trades are only taken if the current cumulative volume is in the first 50% of a projected float turnover.
t_ma (Smoothed LWMA) (direction) — Provides short-term momentum confirmation. The 11-bar lookback limitation restricts this to a 'now-moment' filter.
PiPi (Price Infrastructure & Position Interface) (entry) — Identifies institutional 'Contexts' and uses Fibonacci retracements within those contexts to pinpoint entry triggers.
Jurik Adaptive Envelope Bands (exit) — Captures volatility-adjusted trend exhaustion; the adaptive nature ensures exits aren't triggered prematurely during low-volatility drifts.
Q-Levels V2.2 (risk) — Provides exogenous structural anchors (Gamma walls, Expected Moves) that are independent of price action for hard stop-loss placement.

Known failure conditions

Float turnover cycles become erratic (volume does not lead to price movement).
Q-Levels data becomes stale or manual string input fails to capture intraday volatility shifts.
t_ma 11-bar calculation limit results in 'blind spots' during long-duration trends.

Explore the full interactive blueprint, parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine.