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In StrategyQuant X (SQX), if you want to activate a trailing stop without relying on a specific timeframe, you can do this by setting up the trailing stop condition based on price movement or indicator levels rather than on a timeframe. Here are a few ways to implement this:

1. Activate Trailing Based on Distance from Entry Price (Price-Based)

• Setup: Set the trailing stop to activate once the price has moved a specific distance (e.g., a certain number of pips or a percentage move) from the entry price.
• Configuration:
  • In SQX, configure the trailing stop to trigger when the price has moved a specified amount in your favor.
  • Set up the trailing distance as a fixed pip amount, or based on an indicator like ATR or a custom value.
• Advantage: This activates the trailing stop purely based on price movement, so it doesn’t rely on the passage of time or specific candles.

2. Indicator-Based Trailing Activation (No Timeframe Required)

• Setup: Use an indicator to dynamically activate the trailing stop when a trend or threshold condition is met, independent of timeframe.
• Example:
  • Moving Average: Trailing stop activates when the price crosses above a moving average by a certain distance.
  • Parabolic SAR: Use SAR points as a trailing stop activation level, adjusting the stop if the SAR shifts.
  • ADX or Momentum: Activate the trailing stop when a trend strength indicator (like ADX) crosses a threshold, indicating a strong trend continuation.
• Configuration: In SQX, set the activation condition by configuring the trailing stop rule with an indicator level.

3. Profit-Based Trailing Activation

• Setup: Activate trailing when the trade reaches a predefined profit level, regardless of timeframe.
• Configuration:
  • Define a minimum profit level (e.g., 1% or 50 pips) in SQX, and set the trailing stop to activate once this profit threshold is met.
• Advantage: This keeps the trailing stop inactive until the trade has generated enough profit, helping to secure gains while allowing room for the trade to move.

4. ATR or Volatility-Based Activation

• Setup: Use ATR (Average True Range) or other volatility-based indicators to activate the trailing stop once the market reaches a certain level of volatility, independent of a fixed timeframe.
• Configuration: Set the trailing stop activation to trigger when ATR reaches a threshold value. For instance, if ATR goes above a certain level, it may indicate increased momentum, prompting trailing stop activation.
• Advantage: Volatility-based activation allows the trailing stop to adjust dynamically to market conditions without a reliance on a specific timeframe.

Each of these methods allows you to activate the trailing stop based on market conditions, price movement, or profit levels rather than timeframe-specific events. This flexibility can help secure profits in trending markets while allowing trades enough room to develop in your favor. Let me know if you’d like guidance on configuring any of these methods in SQX!

Here’s an updated version of unique trading styles using three or more signals from your list. This will increase complexity while combining multiple indicators for cross-confirmation and more refined trading decisions.

1. Volatility Compression Breakout Strategy

• Concept: Use Choppiness Index, ATR, and Disparity Index to detect volatility compression and breakout potential. This strategy identifies low-volatility conditions followed by sharp breakouts.
• Indicators: Choppiness Index, ATR, Disparity Index
• Entry: When Choppiness Index and ATR both show low volatility, and Disparity Index confirms price compression below a critical threshold.
• Exit: Exit on the first sign of ATR expansion or Disparity Index divergence from the breakout direction.

2. Oscillator Reversion and Momentum Burst Strategy

• Concept: Use Bear Power, Bull Power, and CCI to identify momentum reversals, coupled with Momentum to confirm strong directional movement. This strategy works best in swing trading environments.
• Indicators: Bear Power, Bull Power, CCI, Momentum
• Entry: Buy when Bull Power overtakes Bear Power, and CCI indicates oversold with rising Momentum.
• Exit: Exit when Bear Power gains dominance, or CCI signals overbought.

3. Trend Channel Momentum Strategy

• Concept: This strategy combines Keltner Channel, Didi Index, and Directional Index to capture trades within price channels while confirming momentum with Didi and Directional Index.
• Indicators: Keltner Channel, Didi Index, Directional Index
• Entry: Buy when price touches the lower Keltner Channel, confirmed by a Didi Index crossover and rising Directional Index.
• Exit: Exit when price reaches the upper channel or Directional Index weakens.

4. Mean Reversion on Trend Weakness

• Concept: Use Hull Moving Average, RVI, and Directional Index to identify trend weakening and trade counter-trend mean reversions. Ideal for volatile markets prone to snapbacks.
• Indicators: Hull Moving Average, RVI, Directional Index
• Entry: Buy when Hull MA indicates weakening trend, confirmed by falling RVI and Directional Index showing weak trend strength.
• Exit: Exit once Hull MA indicates a trend reversal, or RVI turns neutral.

5. Cycle-Based Trend Reentry Strategy

• Concept: Combine DSS Bressert, Laguerre RSI, and Momentum to time re-entries into an existing trend during market cycles. This is useful for trading in wave-like price movements.
• Indicators: DSS Bressert, Laguerre RSI, Momentum
• Entry: Enter when DSS Bressert signals an upcycle, Laguerre RSI crosses into bullish territory, and Momentum confirms.
• Exit: Exit when DSS Bressert cycle nears completion or Laguerre RSI diverges.

6. Sentiment and Momentum Reversal Strategy

• Concept: This strategy uses Bull Power, Bear Power, and RVI to gauge market sentiment, alongside DVO for volume-based confirmation of momentum reversals.
• Indicators: Bull Power, Bear Power, RVI, DVO
• Entry: Buy when Bull Power rises above Bear Power, confirmed by RVI signaling bullish momentum and DVO indicating high volume.
• Exit: Exit when Bear Power overtakes Bull Power or RVI momentum fades.

7. Market Chaos and Divergence Strategy

• Concept: Combine Entropy Math, CCI, and QQE to identify chaotic markets and exploit price divergence. Ideal for detecting sudden directional shifts or corrections.
• Indicators: Entropy Math, CCI, QQE
• Entry: Enter when Entropy Math decreases (chaos subsides) and both CCI and QQE show bullish divergence.
• Exit: Exit when CCI indicates overbought conditions or Entropy increases again.

8. Dynamic Momentum and Price Rejection Strategy

• Concept: Use Directional Index, Momentum, and Williams %R to identify strong price rejection in trending markets, trading short-term corrections or pullbacks.
• Indicators: Directional Index, Momentum, Williams %R
• Entry: Buy when Williams %R signals an oversold condition during a trending market confirmed by strong Directional Index and Momentum.
• Exit: Exit when Momentum begins to fade or Directional Index weakens.

9. Volume-Driven Reversal Strategy

• Concept: Use VWAP, Disparity Index, and AVG Volume to trade reversals based on volume imbalances and price deviation from its average price.
• Indicators: VWAP, Disparity Index, AVG Volume
• Entry: Buy when price deviates significantly below VWAP, confirmed by low Disparity Index and rising AVG Volume.
• Exit: Exit when price returns to VWAP or Disparity Index peaks.

10. Multi-Timeframe Divergence Strategy

• Concept: Combine Fractal, Directional Index, and Momentum across multiple timeframes (e.g., M5 for entry, H1 for confirmation) to spot fractal-based divergences.
• Indicators: Fractal, Directional Index, Momentum
• Entry: Enter when a bullish Fractal forms on M5, confirmed by a rising Directional Index and Momentum on H1.
• Exit: Exit when a bearish Fractal forms or Directional Index weakens on the higher timeframe.

These strategies leverage three or more signals, which should give you more robustness and cross-confirmation in your trading. You can now explore these combinations based on your market preferences and risk tolerance.

To match your available signals to the 12 strategies, let’s review and count which indicators would be appropriate for each trading strategy from the list of signals you provided.

Trading Strategies and Potential Indicator Matches:

1. Price Action Trading
   Indicators: Candle Pattern, Fractal, Highest Lowest, Moving Average, Bollinger Bands, Fibonacci (custom code possible)
2. Range Trading Strategy
   Indicators: Bollinger Bands, ATR, RSI, Stochastic, Disparity Index, Keltner Channel
3. Trend Trading Strategy
   Indicators: Momentum, Moving Average, Ichimoku, Super Trend, Parabolic SAR, Kaufman Efficiency Ratio, MACD, Vortex, Hull Moving Average, CSSA Market Regime, ADX (if included later)
4. Position Trading
   Indicators: RSI, Momentum, MACD, Moving Average, Kaufman Efficiency Ratio, VWAP, Ichimoku
5. Day Trading Strategy
   Indicators: Stochastic, RSI, ATR, VWAP, Bollinger Bands, Momentum, Williams %R, Connors RSI, KAMA
6. Scalping Strategy
   Indicators: ATR, Stochastic, RSI, VWAP, Momentum, Parabolic SAR, Fractal, Disparity Index, Gann Hi Lo
7. Swing Trading
   Indicators: RSI, MACD, Stochastic, Kaufman Efficiency Ratio, Super Trend, Williams %R, Bollinger Bands, Keltner Channel
8. Carry Trade Strategy
   Indicators: ATR, RSI, Moving Average, Hull Moving Average, VWAP, Gann Hi Lo
9. Breakout Strategy
   Indicators: Bollinger Bands, ATR, RSI, Momentum, ADX, Super Trend, TTM Squeeze, MACD, Williams %R
10. News Trading
    Indicators: ATR, RSI, Momentum, Disparity Index, Super Trend, VWAP
11. Retracement Trading
    Indicators: RSI, Fibonacci Retracement (custom), MACD, Stochastic, Kaufman Efficiency Ratio, Williams %R
12. Grid Trading
    Indicators: ATR, RSI, Moving Average, VWAP, Bollinger Bands, Super Trend

Indicators used from your list:

1. ATR
2. Bollinger Bands
3. Candle Pattern
4. Connors RSI
5. CSSA Market Regime
6. Disparity Index
7. Fractal
8. Gann Hi Lo
9. Hull Moving Average
10. Ichimoku
11. KAMA
12. Kaufman Efficiency Ratio
13. Keltner Channel
14. MACD
15. Momentum
16. Moving Average
17. Parabolic SAR
18. RSI
19. Stochastic
20. Super Trend
21. TTM Squeeze
22. VWAP
23. Williams %R
24. Vortex

Count:

• Total unique indicators used: 24

These are indicators that match the various strategies you are working with, excluding the ones you mentioned you don’t want (like ADX, MACD, RSI, and ATR). Some of these indicators can work across multiple strategies, making them versatile tools for your trading system.

If you prefer not to use ADX, MACD, RSI, or ATR, we can build the strategy using other signals from your available list in SQX. Below is an alternative setup using simpler, yet effective indicators:

“Momentum-Based Price Action Grid Strategy”

Indicators Used:

• Candle Patterns: For price action and reversal detection.
• Bollinger Bands: To capture volatility and breakout opportunities.
• Moving Averages: For trend direction and entry triggers.
• Fractals: To identify local highs/lows for breakouts or retracements.

Strategy Setup in SQX:

1. Entry Signals

• Candle Pattern: Use bullish or bearish reversal candle patterns (like engulfing, hammer, or doji) as entry triggers.
• Moving Average Crossover:
  • Buy when a faster-moving average (e.g., 10-period) crosses above a slower-moving average (e.g., 50-period).
  • Sell when the faster MA crosses below the slower MA.
• Bollinger Bands: If the price closes above the upper band, consider a buy (bullish breakout). If it closes below the lower band, consider a sell (bearish breakout).

How to Set It Up:

• In Entry Conditions, use the Candle Pattern indicator for reversal patterns.
• Add Moving Average Crossover as a trend confirmation filter.
• Include a condition using Bollinger Bands to detect breakouts and confirm volatility.

2. Exit Strategy

• Fractal Exit: Exit positions when the price hits a recent fractal high (for buy trades) or a fractal low (for sell trades).
• Bollinger Bands Reversal: Close the position if the price reverses and closes inside the Bollinger Bands after breaking out.
• Time-based Exit: Close all positions after 5 days to limit the holding period.
• Friday Close: Automatically close all trades at 23:30 on Fridays to avoid weekend risk.

How to Set It Up:

• In Exit Conditions, use the Fractal Indicator to detect recent highs and lows for exit points.
• Set up a rule to exit when the price re-enters the Bollinger Bands after a breakout.
• Define a Time-based Exit rule to close trades after 5 days or on Friday.

3. Risk Management

• Fixed Lot Size: Trade with 0.01 lots per $100 of the account balance.
• Risk Management: Set a fixed percentage of risk per trade (e.g., 1% of the total account).
• Grid Layer (Optional): Place pending buy/sell orders at intervals (e.g., 10 pips) from the current price to capture retracements or price movements.

How to Set It Up:

• In Money Management, set your fixed lot size and risk percentage.
• If you want a grid, use the Pending Orders functionality to create a grid around the current price.

Additional Layers:

1. Duplicate Trades: Enable multiple trades to open in the same direction.
2. Break-Even: Move the stop loss to break-even once the trade has moved in your favor by a certain distance (e.g., a fixed pip value or after hitting a fractal level).

Final Steps:

1. Backtest: Run your backtests using M1 data over 20 years.
2. Optimize: Adjust moving average periods, Bollinger Band deviations, and fractal periods to find the best combination.
3. OOS Testing: Validate the strategy’s performance on out-of-sample data.

By removing ADX, MACD, RSI, and ATR, this setup focuses more on price action with simple indicators that track volatility and trend strength.

Let’s simplify things by using the signals you already have in your system. Here’s a strategy you can set up with your available indicators:

“Simple Trend Momentum Grid Strategy”

Objective:

This strategy will capture both trend-following and breakout moves with simple signals, using indicators already present in SQX.

Key Components:

1. Primary Indicators:
   • ADX: For confirming strong trends.
   • MACD: For detecting momentum and direction.
   • RSI: To help with overbought/oversold levels.
   • ATR: For volatility-based risk management.

Strategy Setup in SQX:

1. Entry Signals

• MACD Crossover: Enter a buy when the MACD line crosses above the signal line, and enter a sell when the MACD line crosses below the signal line.
• ADX > 25: Confirm that the market is trending before allowing an entry.
• RSI Confirmation:
  • If RSI > 70, avoid buying (overbought signal).
  • If RSI < 30, avoid selling (oversold signal).

How to Set It Up:

• In SQX, use Entry Conditions with MACD crossover as the trigger.
• Add an additional filter where ADX > 25 to confirm trend strength.
• Add RSI as a filter to avoid extreme market conditions.

2. Exit Strategy

• Take Profit and Stop Loss: Use ATR-based levels. For example:
  • Take Profit: 2x ATR(14).
  • Stop Loss: 1x ATR(14).
• Trailing Stop: Trail the stop loss based on ATR, moving the stop higher/lower as the trend progresses.
• Exit by Time: Close all positions every Friday at 23:30 to avoid weekend gaps.

How to Set It Up:

• In Exit Conditions, define take profit and stop loss levels based on ATR values.
• Use the Trailing Stop function with ATR.
• Set a rule in Exit Conditions to close all trades at a specific time on Friday.

3. Risk Management

• Use Lot Size: 0.01 lots per $100 of the account balance.
• Risk %: Define risk management to ensure that no more than a specific percentage (e.g., 1%) of the total capital is risked on each trade.

How to Set It Up:

• In SQX, use the Money Management tab to set the lot size and risk percentage.

4. Grid Layer (Optional)

• If you want a grid layer to capture additional profits, set up pending orders at regular intervals around the current price (e.g., every 10 pips) with small lot sizes.
• You can also adjust the grid based on market volatility using ATR.

Final Setup Steps:

1. Backtest: Use your M1 data over the 20-year range to evaluate how the strategy performs.
2. Optimize: Fine-tune the parameters like ATR multiples, grid intervals, and trailing stops for the best results.
3. Out-of-Sample Testing: Ensure that your strategy performs well in unseen data to confirm robustness.

This simpler approach will help you use the signals you’re familiar with while maintaining solid trend-following and risk management.

By merging these trading strategies with your specifications, you’ll create a highly adaptable system that should perform well across different market conditions. Would you like to test this setup with a focus on any particular method or combination first? ———— make 1 of random uniqe and exotic trading style

Here’s an exotic and unique trading strategy that merges multiple aspects of traditional techniques but with an unconventional twist:

“Harmonic Grid Momentum Breakout”

Concept: This strategy combines the principles of grid trading, harmonic patterns, and momentum breakouts. The goal is to capture both trending and ranging market conditions while managing risk dynamically. It thrives on detecting strong directional moves and harmonic reversals, using grid placement to capture both breakouts and retracements.

Key Components:

1. Grid Trading Layer:
   • A grid of orders is placed at regular intervals above and below the current price, with a predetermined spacing (e.g., 10 pips).
   • The grid can be expanded dynamically based on market volatility using ATR.
   • If price moves into a trending market, breakouts are captured, while in ranging conditions, price oscillations fill and close the grid orders profitably.
2. Harmonic Pattern Recognition:
   • The strategy identifies harmonic patterns (e.g., Gartley, Bat, Butterfly) using Fibonacci retracements and extensions.
   • When a pattern completes, it signals a reversal or continuation of the trend.
   • Entry orders are placed based on the harmonic reversal points, with grids enhancing profit capture from both retracement and continuation.
3. Momentum Confirmation (RSI + MACD):
   • RSI is used to confirm momentum. If RSI > 70, look for shorting opportunities; if RSI < 30, look for buying opportunities.
   • MACD crossover signals trend strength and confirms breakout conditions. If the MACD lines cross and the grid captures the breakout, positions are allowed to ride the momentum.
4. Dynamic Risk Management:
   • Trailing Stop: Adjusts dynamically based on ATR, ensuring profits are locked in while allowing the trade to run.
   • Break-even Stop: Once price moves halfway to the profit target, the stop loss moves to break even, ensuring no loss on that trade.
5. Weekly Market Reset:
   • All open trades are closed by the end of the trading week, ensuring no positions are held over the weekend to avoid gaps.
   • The grid resets at the beginning of the new week with fresh levels based on the week’s opening volatility.

Trading Conditions:

• Timeframes: H1 for main signal entries, H4 for confirming harmonic patterns and momentum direction.
• Market: Gold (XAU/USD).
• Lot Sizing: 0.01 lot per $100 of the account balance, with risk managed by risk percentage of total capital (as per your initial design).
• Risk/Reward Ratio: Aimed at 1:3 or higher.

How It Works:

1. Setup Phase: The grid is initialized with buy and sell orders at regular intervals.
2. Harmonic Detection: As the market moves, harmonic patterns are identified, and additional grid orders are aligned to these patterns, looking for precise reversals.
3. Momentum Confirmation: If the market shows momentum through RSI and MACD crossovers, additional positions are opened based on the breakout strength.
4. Profit Capture: As price fluctuates within the grid, orders are closed for profits. If momentum is strong, the trailing stop secures profits as the price trends.

Exotic Edge:

• Multi-Layer Strategy: This strategy captures both ranging and trending conditions. The harmonic patterns add precision, while the grid ensures profits from oscillations, and momentum ensures strong breakouts are capitalized on.
• Versatile Profit Capture: Whether the market moves wildly or remains calm, this strategy can adapt, always seeking opportunities across multiple layers.

Great! Now that we’re moving forward with the Trend + Breakout + Swing Trading combination, here’s the plan to proceed:

Steps for Optimization and Backtesting:

1. Initial Setup:
   • Main Timeframe: H1 (for active signals).
   • Sub Timeframe: H4 (for confirmation).
   • Open Duplicate Orders allowed, with signals from Trend Trading (ADX, Ichimoku, MACD), Breakout (Bollinger Bands, ATR, Momentum), and Swing Trading (RSI, Fractals, MACD).
   • Implement trailing stop and break-even with ATR or Parabolic SAR.
   • Ensure RRR > 1:3 and close all trades by Friday.
2. Optimization:
   • Risk and Lot Size Management: 0.01 lots per $100 balance, with risk percentage on the account.
   • Sequential optimization for additional timeframes like M30/H4, M15/H4, M5/H4 to explore robustness across different market conditions.
   • Focus on finding the optimal parameters for indicators like ATR and Ichimoku to maximize profitability across both trending and volatile markets.
3. Backtesting:
   • Using your M1 data over 20 years, run the backtest for IS (In-Sample) and OOS (Out-of-Sample) periods.
   • Analyze performance metrics: Profit Factor, RRR, Stability, Drawdown, and Win/Loss ratio.
4. Validation:
   • Post-backtest, validate on OOS data to ensure consistency and reliability in live market conditions.

My desired strategy, can you adaption with those 12 strategies above and use my signals, make it greater possible: 1. Open orders duplicate allowed 2. Close orders with a profit for 1-5% from the total capital or close by using signals that hold positions for no more than 5 days 3. Use Break-Even profits and use trailing according to appropriate signals to catch up with profits as quickly as possible 4. I need RRR more than 1:3 5. Close all orders before the market closes every Friday 6. Consec win/loss trades > 2

To adapt your desired strategy with the 12 trading methods and signals you provided, we can combine specific features from each strategy to create an enhanced, hybrid approach. Let’s structure it step by step:

Key Elements of Your Desired Strategy:

1. Open Duplicate Orders: This allows more flexibility in taking multiple trades if the conditions allow.
2. Profit Target: Closing orders with 1-5% profit from the total capital.
3. Time-Limited Holds: No position should last more than 5 days.
4. Break-Even and Trailing Stop: Secure profits with a break-even and then trail the stop to maximize gains.
5. High RRR (1:3): Ensuring risk is minimized and profits are large enough to justify trades.
6. Close by Friday: All positions are liquidated before the market closes on Friday.
7. Consecutive Wins/Losses: Focus on having more than 2 consecutive wins or limiting losses.

Strategy Adaptation Across the 12 Trading Methods:

1. Price Action Trading:

• Signals: Use Candle Patterns and Fractals to capture high-quality reversal or breakout trades.
• Adaption: These signals can be used to open multiple positions during a strong price action movement, with a stop-loss placed at key price levels. The trailing stop and break-even would be applied as soon as the price moves favorably.

2. Range Trading Strategy:

• Signals: Apply Bollinger Bands, RSI, and Stochastic for entering positions at the range extremes.
• Adaption: Open trades when the price reaches either overbought or oversold levels. Use trailing stops aggressively to capture small but consistent gains within the range. If the trade doesn’t meet profit criteria within 5 days, exit by signal.

3. Trend Trading Strategy:

• Signals: Combine ADX, Ichimoku, and Super Trend to ride strong market trends.
• Adaption: Open duplicate positions in a strong trend confirmed by ADX (>25) and Ichimoku cloud direction. Apply the trailing stop to catch the bulk of the move while closing trades that meet the 1-5% profit or exceed 5 days of holding.

4. Position Trading:

• Signals: Use Ichimoku and Hull Moving Average for longer-term trend confirmation, but limit holding time to 5 days.
• Adaption: Position trading signals are generally longer-term, but in your strategy, we can shorten this by closing trades within 5 days if the target profit is not reached.

5. Day Trading Strategy:

• Signals: Utilize VWAP, Momentum, and RSI to capture intraday moves.
• Adaption: Open multiple positions based on intraday momentum and close them by the end of the trading day or use your break-even and trailing stop to capture small profits. Ensure no trades remain open on Fridays.

6. Scalping Strategy:

• Signals: Leverage Parabolic SAR, Stochastic, and VWAP for fast entries/exits.
• Adaption: Scalping will require tighter trailing stops and quicker moves to break-even. You can open duplicate orders on small moves and close them as soon as you hit the profit target or within 5 days.

7. Swing Trading:

• Signals: MACD, RSI, and Fractals to identify swing highs/lows.
• Adaption: Swing trading offers opportunities to capture larger moves. Duplicate orders can be opened as long as the swing signal is valid, with the trailing stop applied to catch larger profits. Exit after 5 days or on the Friday close.

8. Carry Trade Strategy:

• Signals: KAMA and Directional Index for long-term bias, but constrained to short-term holding.
• Adaption: In traditional carry trade, positions are held long-term, but with your strategy, use the trailing stop to secure short-term profits within 5 days.

9. Breakout Strategy:

• Signals: Bollinger Bands, ATR, and Momentum for volatility-based breakouts.
• Adaption: Use breakout signals to open duplicate trades. Once the breakout occurs, the trailing stop will help capture further gains while securing profits. Close the trade if the price meets the 1-5% target or exits by Friday.

10. News Trading:

• Signals: ATR, Momentum, and VWAP to capture volatility spikes.
• Adaption: News trading tends to be unpredictable, so quick entries with trailing stops and a break-even move are essential. Use this approach to exit trades quickly if the market moves in your favor.

11. Retracement Trading:

• Signals: Fibonacci Retracements, RSI, and Fractals for entry signals.
• Adaption: Enter on retracement to a key Fibonacci level with multiple orders. Apply trailing stop once the price resumes the primary trend. Close the trade either at the target profit or after 5 days.

12. Grid Trading:

• Signals: Generally grid strategies are less signal-based, but ATR or Bollinger Bands can help define volatile zones.
• Adaption: In a grid strategy, you can apply the trailing stop on profitable orders while still allowing duplicate trades. Close all positions before the end of the week or after 5 days to prevent overexposure.

Enhancing the Strategy:

1. Duplicate Orders: This flexibility allows for scaling into trades during favorable conditions, especially in trending markets or during strong breakouts. Combining this with ADX for trend strength or ATR for volatility can provide an edge.
2. Close Orders Based on Capital Gain or Signal: The 1-5% capital gain target works well with signals like Ichimoku, Candle Patterns, or Bollinger Bands to time exits when trades become profitable.
3. Break-Even and Trailing Stop: Use Parabolic SAR or ATR for managing the trailing stop, ensuring that once the price has moved in your favor, the trailing stop locks in profits while allowing room for larger gains.
4. RRR of 1:3: Targeting a risk-reward ratio of 1:3 is ideal for strategies like Breakout or Swing Trading. Use Fractals, RSI, and MACD to spot high-probability trades and manage risk with well-placed stop losses.
5. Weekly Close: Ensure that all trades are automatically closed by Friday using a time-based exit rule, combined with signals to prevent holding positions over the weekend.
6. Consecutive Wins/Losses: This could be monitored in SQX by applying risk filters, ensuring the strategy does not become too risky if losses accumulate, or adding more trades if you’re on a winning streak.

By merging these trading strategies with your specifications, you’ll create a highly adaptable system that should perform well across different market conditions.