CTA Queen
- Experts
- 버전: 2.1
- 업데이트됨: 23 8월 2026
- 활성화: 5
CTA Queen
— Range-Market Mean-Reversion Module
CTA Queen is part of the CTA System Series and provides the range-market mean-reversion component of the portfolio.
The Expert Advisor uses Bollinger-based deviation signals to identify situations in which price has moved unusually far away from its recent statistical mean. It then looks for a potential reversion towards that mean.
CTA Queen uses three independent deviation layers with different entry thresholds. This allows the system to distinguish between moderate, strong and extreme price deviations. Signals are evaluated using completed bars.
The default structure uses H1 signals together with a higher-timeframe market-regime context. The timeframes, thresholds and risk settings can be adjusted by the user.
CTA Queen is designed primarily for ranging and mean-reverting market conditions. It is not intended to trade every market phase. During strong directional trends or periods without sufficient deviation, the system may remain inactive.
Core Concept
- Bollinger-based mean-reversion logic
- Three independent deviation layers
- Closed-bar signal processing
- Configurable signal and regime timeframes
- ATR-based protective stops
- Mean-reversion, time-based and range-breakout exits
- Risk-based position sizing
- Single-symbol or portfolio-universe operation
- Optional portfolio, group and exposure controls
CTA Queen can operate as a standalone Expert Advisor or as the range-market component of the CTA System Series.
Its purpose is to identify statistically extended price movements and participate in a possible return towards the recent mean. Entry thresholds and protective exits are separated so that each layer can manage its trades independently.
Mean-reversion systems do not perform equally well in every environment. Strong trends can cause prices to remain extended for longer than expected. CTA Queen therefore includes protective risk controls and optional regime filters, but these mechanisms cannot eliminate trading losses.
Build Your Own CTA PortfolioAbout the CTA System Series
The CTA System Series is based on a modular portfolio concept. Each Expert Advisor has a dedicated strategy type and market focus.
- CTA King: medium- and long-term trend following using independent H4, D1 and W1 Donchian layers.
- CTA Queen: Bollinger-based mean reversion designed primarily for ranging market conditions.
- CTA RV: relative-value mean reversion across selected instrument pairs. It identifies unusually large differences in normalized relative performance and trades for potential convergence.
CTA King and CTA Queen focus on the directional or statistical behaviour of individual markets, while CTA RV introduces a pair-based diversification component.
Each module can operate independently. The complete CTA System Series is intended to combine trend following, range-market reversion and relative-value convergence within a modular portfolio structure.
The purpose of this approach is diversification across different strategy types and market environments. It does not guarantee that the modules will always offset each other or produce profits.
Instead of relying on one trading logic for every market phase, the CTA System Series separates different market behaviours into specialized engines:
- CTA King covers sustained medium- and long-term trends.
- CTA Queen covers Bollinger-based reversion during suitable ranging conditions.
- CTA RV covers pair-based relative-value divergence and potential convergence.
This structure is intended for traders who prefer a systematic, modular and portfolio-oriented approach to automated trading.
Important Information
CTA Queen does not guarantee profits or continuous trading activity. Mean-reversion systems can experience losing trades, drawdowns and periods in which price continues moving away from its mean.
Results depend on the selected instruments, broker conditions, spreads, execution, risk settings and market environment. Historical or backtest results do not guarantee future performance.
