Strategy Brief

Adaptive Regime Momentum with Order Flow Confirmation

A systematic trading framework designed for BBLC's TradeDNA intelligence layer and Orvexa execution infrastructure. It adapts to market regime, confirms with order-flow anomalies, and sizes by volatility.

Strategy

Regime-aware momentum

Switches between trend-following and mean-reversion based on ADX, Hurst exponent, and volatility clustering.

Confirmation

Order-flow scoring

TradeDNA behavioural signals identify abnormal volume clusters, VWAP deviations, and exhaustion patterns.

Execution

Orvexa precision routing

Algorithms break orders, minimise slippage, and adapt to liquidity conditions in real time.

Risk

Volatility targeting

1% max loss per trade, 5% daily drawdown circuit breaker, position sizing by realised volatility.

Thesis

Why this strategy exists

Most momentum strategies fail in choppy markets. Most mean-reversion strategies get run over in strong trends. The solution is not a better single strategy. It is a regime-detection layer that chooses the right strategy for the right market condition.

TradeDNA adds an edge by reading behavioural signatures in order flow: where capital is clustering, where liquidity is thinning, and where moves are likely to continue versus reverse. Orvexa provides the execution backbone to capture that edge without giving it back to the market.

Core hypothesis

Price momentum is more reliable when confirmed by order-flow anomalies, and the optimal momentum parameters change with market regime. Combining regime detection, momentum scoring, and behavioural confirmation produces a more stable return distribution than any single factor alone.

Snapshot

Strategy at a glance

AttributeSpecification
Primary asset classUS large-cap equities, liquid ETFs
TimeframeDaily signal generation with intraday confirmation
Signal sourcePrice, volume, volatility, order-flow behaviour
Position directionLong/flat, with short capability for hedge overlays
Target volatility10% annualised at portfolio level
Max single-trade risk1% of account equity
Daily drawdown halt5% from previous-day NAV
RebalancingDaily after market close; intraday adjustment on confirmation
Next steps

How to read this brief

Each section walks through a different part of the system. Signals covers the inputs and scoring logic. Risk covers position sizing, stops, and circuit breakers. Backtest provides a Python engine you can run against your own data. Deployment covers how TradeDNA and Orvexa ingest and execute the strategy.

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