Midpoint Regression Strength Trend

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: Forex · Timeframes: H1, H4

Thesis

Trends are most sustainable when supported by broad-market currency strength (Matrix) and price positioning in the upper/lower half of its recent volatility range (Midpoint). By using momentum (TDI) to enter and synthetic trend smoothing (Heikin-Ashi) to exit, we can capture the meat of the move while using regression error (STDERR) to objectively define the 'noise floor' for stop-loss placement.

Components

• MIDPOINT: Rolling Midpoint (regime) — Determines if the market is trading in the upper or lower half of its recent range to define the local bias.
• Currency Strength Matrix (All) (direction) — Filters for trades where the base currency is demonstrably stronger/weaker than the quote currency across the entire market, ensuring structural alignment.
• Traders Dynamic Index (TDI) (entry) — Captures the momentum crossover (Price Line vs Signal Line) within the context of volatility bands to trigger entries.
• Heikin-Ashi Candles (exit) — Used for trailing exits to ignore minor noise and only exit once the synthetic trend color flips.
• Standard Error of Regression (STDERR) (risk) — Provides a volatility-adjusted measure of price deviation from a linear trend for stop-loss placement.

Known failure conditions

• Currency Strength Matrix remains static or '0' due to calculation errors in multi-symbol calls.
• Market enters a 'sawtooth' regime where Midpoint and Heikin-Ashi flip colors every 2-3 bars.
• Low liquidity environments where STDERR underestimates the risk of slippage-driven spikes.

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