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LBR Quant Finance Regime Strategy

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Linda Braodford Raschke Quant Finance Regime Strategy

This strategy implements a regime-based trading framework that adapts between trend-following and mean-reversion logic depending on current market conditions.

It is designed for research and educational purposes and does not guarantee performance.

Core Concept

Markets alternate between:

• Expansion phases (trending)
• Contraction phases (ranging)

This strategy attempts to detect regime shifts using:

ADX for trend strength

Bollinger Band width for volatility expansion

EMA(200) for structural trend bias

When volatility and directional strength expand, the strategy uses trend-following entries.
When volatility contracts, it shifts to mean-reversion logic.

Entry Logic
Trend Regime

Conditions:

ADX above threshold

Bollinger width above average

Supertrend alignment

EMA trend confirmation

MACD momentum confirmation

Range Regime

Conditions:

ADX below threshold

Bollinger width contracting

RSI extreme levels

Price at outer Bollinger bands

Risk Management

Position sizing:

8% of equity per trade (default)

No pyramiding

Exits:

ATR-based stop loss

ATR-based take profit

ATR-activated trailing stop

Global controls:

Max strategy drawdown filter (default 25%)

Daily equity loss guardrail (default 5%)

If limits are exceeded, new trades are disabled.

Default Strategy Properties

Initial Capital: 100,000
Order Size: 8% of equity
Commission: 0.06%
Slippage: 2 ticks
Pyramiding: 0
Orders processed on close

These settings are used in the published version.

Backtesting Guidance

• Use on liquid instruments
• Test over long historical periods
• Ensure sufficient trade sample size (100+ trades recommended)
• Adjust regime thresholds carefully

No future-looking data is used.
Results will vary by asset and timeframe.

Chart Notes

The background color shows regime detection:

Green tint → trending

Blue tint → ranging

EMA line shows structural bias.

No additional scripts are required.

Important

Past performance does not predict future results.

Aviso legal

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