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In phase 1, which says to create 4-6 portfolios, in this part, what should I filter and rank them by? 1. Profit Factor 2. CAGR/Max DD% 3. Sharpe Ratio 4. Return/Drawdown Ratio (Ret/DD) 5. Stability 6. Open Drawdown % 7. Max Drawdown % 8. Consecutive Win/Loss Trades 9. Net Profit 10. R-Squared (R²)

To build the 4-6 portfolios in Phase 1, focusing on filtering and ranking the strategies effectively, I would suggest using a weighted approach to emphasize the metrics that align with both profitability and risk management for long-term stability. Here’s how to prioritize and filter the metrics:

1. CAGR/Max DD% (Priority: High)

• Why: This is one of the most crucial metrics because it shows how well the strategy performs in terms of growth while managing risk. Higher values mean you get better returns for each unit of risk.
• How to Filter: Select strategies with a CAGR/Max DD% > 1 as a minimum requirement, and prioritize strategies that have values significantly greater than 1 (e.g., >1.5 or >2) for better risk-adjusted returns.

2. Sharpe Ratio (Priority: High)

• Why: The Sharpe Ratio indicates risk-adjusted returns. A Sharpe Ratio > 2 is generally considered excellent, as it means the strategy is delivering high returns for the level of volatility/risk involved.
• How to Filter: Filter out strategies with Sharpe ratios below 2. Rank remaining strategies by Sharpe Ratio as a second key factor.

3. Profit Factor (Priority: Medium-High)

• Why: The Profit Factor compares gross profits to gross losses. A Profit Factor > 1.5 indicates that for every dollar risked, the strategy earns at least 1.5 dollars.
• How to Filter: Filter strategies with a Profit Factor above 1.5 and rank them to ensure a healthy balance of profits vs losses.

4. Return/Drawdown Ratio (Ret/DD) (Priority: Medium-High)

• Why: This metric reflects how much return you are getting for each unit of drawdown. A higher value indicates better performance relative to risk.
• How to Filter: Ret/DD values should be high (>2), and strategies with strong Ret/DD ratios should be given more weight in the ranking process.

5. Stability (Priority: Medium)

• Why: This measures the consistency of the equity curve. Stability above 0.8 ensures smoother performance with fewer wild swings.
• How to Filter: Filter for strategies with Stability > 0.8 and rank by Stability to ensure you are selecting smooth performers.

6. Open Drawdown % (Priority: Medium)

• Why: Open Drawdown % indicates how much capital is at risk while a trade is active. Keeping this low ensures that you don’t have a lot of capital exposed to ongoing risk.
• How to Filter: Select strategies with Open DD < 15% to avoid excessive risk during open trades.

7. Max Drawdown % (Priority: Medium)

• Why: Max Drawdown % shows the largest peak-to-trough drop in equity. Lower drawdowns indicate less capital loss during downturns.
• How to Filter: Set a maximum acceptable drawdown threshold (e.g., Max DD < 20-25%), and give higher preference to strategies with lower Max Drawdowns.

8. Net Profit (Priority: Medium-Low)

• Why: Net Profit is important for absolute returns but should not overshadow risk-adjusted performance metrics.
• How to Filter: While this metric should not dominate, it’s important to ensure the strategies are delivering consistent profits. Rank by profit only after other risk-adjusted metrics.

9. R-Squared (R²) (Priority: Low)

• Why: R² measures the strength of the trend in the equity curve. While useful, this can be less relevant for short-term portfolios.
• How to Filter: R² should be considered, but not weighted too heavily in early portfolio building stages.

10. Consecutive Win/Loss Trades (Priority: Low)

• Why: This is more of a psychological metric that shows how many wins or losses can occur consecutively. While useful, this is not a key metric for filtering.
• How to Filter: Use this as a final check to ensure your selected strategies don’t have extreme streaks of losses or wins, which could indicate volatility.

Suggested Approach for Phase 1 Portfolio Creation:

1. Primary Filters: Start by filtering with CAGR/Max DD% > 1, Sharpe Ratio > 2, Profit Factor > 1.5, Stability > 0.8, and Open Drawdown < 15%.
2. Ranking: Once you’ve applied these filters, rank the remaining strategies using CAGR/Max DD%, Sharpe Ratio, and Ret/DD as your top three criteria.
3. Secondary Filters: As a secondary consideration, check Max Drawdown %, Net Profit, and Stability to ensure balanced strategies.
4. Final Checks: Lastly, apply Consecutive Win/Loss Trades and R² to fine-tune for consistency and smoother equity curves.

This structured approach will allow you to maximize the robustness and profitability of your strategies while controlling risk and volatility.

Compare with my last step. Now I have more than 500 strategies ready to enter [Portfolio Master] mode by selecting the number of strategies between 4-8 in each Port. I want to know that if I set the values​​above, select the best one from what SQX offers, and create 1 Port, then delete it from the existing list to create it, so that all 500 strategies can be used almost completely, even if they are not as good as the first one I got. And/or I will create it only once from 500 and filter from the above list, selecting the best values ​​to create each Port, so that I will have a total of 12 good portfolios as you suggest, without deleting any of them. Please provide your comments.

Given your setup with more than 500 strategies and the intention to build 12 solid portfolios, here’s a detailed comparison of the two approaches you’re considering:

Option 1: Create a Single Portfolio and Delete Strategies After Use

• Process: You filter your strategies based on the set criteria (CAGR/DD%, Sharpe Ratio, etc.), create a portfolio using the best 4-8 strategies, and then remove the used strategies from the list.
• Advantages:
  • Focus on Highest Quality: By selecting only the top-performing strategies for each portfolio, you ensure that each portfolio is built with the best available options.
  • No Duplication: Strategies used in one portfolio won’t be repeated, which diversifies the approaches and reduces over-reliance on specific strategies.
  • Cleans the List: Removing strategies ensures that you always have a fresh pool for the next portfolio.
• Disadvantages:
  • Risk of Running Out of Quality: As you progress, there may be a diminishing number of high-quality strategies available for later portfolios, potentially forcing you to accept weaker strategies.
  • More Manual Work: You need to keep track of what’s been used and make adjustments after each portfolio creation, which could be time-consuming.

Option 2: Filter and Create Multiple Portfolios without Deleting Strategies

• Process: You filter your strategies according to the same criteria and create 12 portfolios without deleting any strategies, allowing overlap and repeated use across portfolios.
• Advantages:
  • Maximize Usage: You get the most out of your 500 strategies, as none are permanently removed, allowing you to pick the best for each new portfolio.
  • Less Pressure on Strategy Availability: By not deleting strategies, you can create multiple portfolios with some repetition, ensuring that each portfolio still has top-performing strategies.
  • Faster Process: You won’t need to track what’s already been used, simplifying the portfolio creation.
• Disadvantages:
  • Over-Reliance on Certain Strategies: Repeating strategies across portfolios may lead to over-reliance on certain approaches, which could expose all portfolios to similar risks, especially during market drawdowns.
  • Lower Diversification: Even though you have multiple portfolios, repeating strategies means the portfolios may not be as diversified as they could be.

Recommendation

For your goal of building 12 high-quality portfolios, I’d suggest combining aspects of both approaches:

1. Phase 1: Start by creating 4-6 portfolios using the best available strategies, without deleting any of them. This ensures you’re maximizing the top performers for multiple portfolios.
2. Phase 2: For the remaining portfolios, introduce more diversity by removing the strategies already used from your selection pool, ensuring fresh strategies are prioritized.

This blended approach balances strategy quality with portfolio diversity, giving you strong portfolios while maximizing your use of all 500 strategies. In this way, you ensure that you maintain both performance and diversification across the entire portfolio set.

Do you know all the filters / ranking (like profit factor, cagr/dd%, return/dd, ..) to mean profitable or good trend within SQX?

Yes, in StrategyQuant X (SQX), various performance metrics and ranking filters are used to assess whether a strategy is profitable and stable over time. Here’s a list of the most important metrics along with what they indicate and how they can be used for filtering/ranking:

Key Metrics for Evaluating Profitability and Stability

1. Profit Factor
   • What it measures: The ratio of gross profits to gross losses.
   • Good value: A Profit Factor greater than 1.5 is generally considered good, with values over 2 indicating strong performance.
   • Purpose: Filters out strategies that earn significantly more than they lose.
2. CAGR/Max Drawdown % (Compounded Annual Growth Rate / Max Drawdown)
   • What it measures: It compares the strategy’s annualized returns to the maximum drawdown (risk).
   • Good value: A ratio greater than 1 is a positive indicator, meaning the returns are higher than the risk (drawdown).
   • Purpose: Filters strategies that balance returns and risk effectively. Higher values indicate more sustainable growth relative to risk.
3. Return/Drawdown Ratio (Ret/DD)
   • What it measures: Another way to compare the strategy’s return against the drawdown.
   • Good value: The higher, the better. Values above 2 are typically desirable.
   • Purpose: Similar to CAGR/Max DD%, this shows how well the strategy performs against its worst losses.
4. Sharpe Ratio
   • What it measures: The Sharpe Ratio measures risk-adjusted returns, or how much excess return the strategy generates per unit of risk.
   • Good value: A Sharpe Ratio above 1 is considered good, while above 2 is excellent.
   • Purpose: Helps identify strategies that have consistent returns relative to risk.
5. Stability
   • What it measures: Measures the consistency of a strategy’s equity curve (how stable the growth is over time).
   • Good value: A value greater than 0.8 is typically considered good.
   • Purpose: Filters strategies that have steady performance without sharp fluctuations.
6. Open Drawdown %
   • What it measures: The percentage of drawdown that is still open (unrealized loss).
   • Good value: Keeping Open DD% below 15% is often desirable.
   • Purpose: Ensures that strategies don’t leave too much risk open during trades, keeping the drawdowns controlled.
7. Max Drawdown %
   • What it measures: The largest peak-to-valley loss in equity.
   • Good value: Max DD% below 20% is usually acceptable for longer-term strategies, with lower being better for risk-averse traders.
   • Purpose: Filters strategies that limit their risk exposure during downturns.
8. Consecutive Win/Loss Trades
   • What it measures: The maximum number of consecutive winning or losing trades.
   • Good value: This metric is mostly a secondary consideration but can show streaks in winning or losing.
   • Purpose: Can be used to avoid strategies that have long losing streaks.
9. CAGR (Compounded Annual Growth Rate)
   • What it measures: The annualized percentage growth of your account or equity curve.
   • Good value: The higher the better, though it should be balanced with risk measures.
   • Purpose: Shows the growth potential of the strategy.
10. R-Squared (R²)
    • What it measures: Shows the statistical fit of the strategy’s equity curve to a straight line. The closer to 1, the more stable the strategy’s growth.
    • Good value: Above 0.8 is ideal for long-term stability.
    • Purpose: Filters strategies with consistent upward growth.
11. Kelly Criterion
    • What it measures: Calculates the optimal position sizing based on past performance.
    • Good value: A higher Kelly value indicates better risk-adjusted returns, but too high may suggest over-leveraging.
    • Purpose: Guides sizing to maximize growth while managing risk.
12. Net Profit
    • What it measures: The total profit after deducting losses and costs.
    • Good value: Positive and stable net profit over time is crucial, but it should be compared against risk metrics.
    • Purpose: Ensures the strategy is actually making money.
13. Sortino Ratio
    • What it measures: Similar to the Sharpe Ratio but only considers downside risk (negative returns).
    • Good value: A value above 1 is good, and higher values indicate better risk-adjusted performance focusing on negative volatility.
    • Purpose: Helps focus on strategies that minimize downside volatility while delivering good returns.

Filtering Strategies in SQX

• Primary Filters:
  • Sharpe Ratio > 2: Helps find strategies with good risk-adjusted returns.
  • CAGR/Max DD% > 1: Ensures returns are higher than drawdowns.
  • Profit Factor > 1.5: Ensures profits are sufficiently higher than losses.
• Secondary Filters:
  • Open DD% < 15: Ensures drawdowns are within acceptable limits.
  • Stability > 0.8: Ensures a smooth and steady equity curve.
• Other Considerations:
  • Max Drawdown %: This is crucial for risk management, as it can help avoid strategies with sharp drawdowns.
  • Return/Drawdown: Ensures that the strategy’s returns justify the risk it takes.

By using a combination of these filters, especially focusing on Sharpe Ratio, Stability, Profit Factor, and drawdowns, you can filter out strategies that are robust, profitable, and capable of performing well in live trading.

Yes, it is possible to find or build a strategy that meets these criteria, but it will depend on several factors, including the quality of your data, the optimization process, and the strategy type.

Here’s a breakdown of what each criterion implies and how achievable it is:

1. CAGR/Max DD% > 1:

• Achievability: This is a reasonable and important target, as it ensures your strategy produces more growth than risk. You can achieve this through proper risk management, consistent profits, and by minimizing drawdowns.
• Tuning Tips: Focus on risk control, such as using tight stop losses and proper position sizing (e.g., your 0.01 lot per $100 account balance rule).

2. Sharpe Ratio > 2:

• Achievability: A Sharpe Ratio above 2 is challenging but realistic, especially with a well-optimized strategy. It implies high risk-adjusted returns with low volatility.
• Tuning Tips: To achieve this, focus on strategies that reduce large fluctuations in returns. Use techniques like trailing stops, break-even exits, and conservative risk management. Avoid strategies with excessive drawdowns or those that rely on highly volatile instruments without proper hedging.

3. Profit Factor > 1.5:

• Achievability: This is a common target for profitable trading strategies. A profit factor above 1.5 indicates that your gross profits are at least 1.5 times larger than your gross losses.
• Tuning Tips: Optimize entry/exit rules, avoid overtrading, and focus on strategies that aim for higher reward-to-risk ratios, such as your target of RRR > 1:3.

4. Stability > 0.8:

• Achievability: Stability near 0.8 is a realistic goal for most well-performing strategies. It shows a relatively smooth and reliable equity curve, which is necessary for long-term performance.
• Tuning Tips: Stability can be enhanced by reducing the frequency of large drawdowns, fine-tuning exit rules, and optimizing over a range of market conditions (using IS and OOS testing).

5. Open DD% < 15%:

• Achievability: This is achievable but can be difficult if you’re targeting high returns. Controlling open drawdown is crucial to keep the account safe from volatile market swings.
• Tuning Tips: You can keep open drawdown in check by adjusting trade size, using dynamic stop-loss management (e.g., ATR-based stops), or employing partial exits as trades move into profit.

Finding Such a Strategy:

1. Backtesting and Optimization: You’ll likely need extensive backtesting with 20 years of M1 data (as you’re already using) to find strategies that meet all these criteria. Sequential optimization across timeframes (H1, H4, etc.) can help refine strategies for long-term stability.
2. Strategy Combination: You may need to combine trend following, breakout, and swing trading methods, as these tend to perform well in various market conditions.
3. Fine-Tuning Parameters: Parameters like risk management rules, trailing stops, and exit timing (closing trades before Friday or after 5 days) will play a key role in managing drawdowns and ensuring the other metrics hold up.

It will take work, but it is possible to find a strategy that fits within these boundaries. Be prepared for iterative testing and refinement in StrategyQuant X to optimize across these performance metrics.

When focusing on long-term stability for your strategy, aside from CAGR/Max DD% and Sharpe Ratio, the most critical metric to consider is Profit Factor. However, other important factors like Stability and Open Drawdown (DD) also play key roles in assessing the reliability of your strategy. Let’s explore these metrics:

1. Profit Factor:

• What it Measures: The ratio of gross profit to gross loss. For example, a profit factor of 1.5 means that for every dollar lost, you are making 1.5 dollars in profit.
• Importance: A higher profit factor (typically > 1.5) is crucial for long-term viability. It shows that the strategy generates more profit than loss over time.
• Why It’s Key for Long-Term Stability: It directly reflects the strategy’s overall profitability, indicating whether it can sustain profitability through different market conditions.
• Ideal Target: Profit Factor above 1.5 is solid, while a value of 2.0 or more is very strong.

2. Stability of Returns (Stability):

• What it Measures: The consistency of your strategy’s performance over time. It looks at the smoothness of the equity curve.
• Importance: Stability indicates how reliable the strategy is at generating returns without significant fluctuations.
• Why It’s Key for Long-Term Stability: A stable equity curve suggests that your strategy can withstand various market environments without experiencing wild swings in performance.
• Ideal Target: Aim for a stability score close to 1, where 1 represents a perfectly straight equity curve.

3. Open Drawdown (Open DD%):

• What it Measures: The maximum unrealized loss during a trade (before it’s closed).
• Importance: While Max Drawdown focuses on the worst drawdown for closed trades, Open DD% shows how much risk your strategy takes while trades are still open.
• Why It’s Key for Long-Term Stability: High open drawdowns can cause emotional stress and can put your account at risk, especially during volatile periods. Keeping open drawdowns low ensures your strategy can withstand market swings without large floating losses.
• Ideal Target: Aiming for Open DD% < 10-15% is generally considered good for long-term sustainability.

Summary of Metrics (Besides CAGR/Max DD% and Sharpe Ratio):

1. Profit Factor (Most Important): Reflects the overall profitability of your strategy. Target >1.5, ideally >2.
2. Stability: Measures how smooth and reliable your equity curve is. Aim for a stability score near 1.
3. Open Drawdown %: Keep this value as low as possible to avoid large floating losses. Aim for <10-15%.

Focusing on these three metrics will help confirm your strategy’s long-term stability and profitability, making it robust enough to withstand different market conditions.

what’s the most priority betwee CAGR/Max DD% and Sharp ratio ?

When prioritizing between CAGR/Max DD% and Sharpe Ratio, it depends on your strategy’s goals and risk tolerance. Here’s how to assess their importance:

1. CAGR/Max DD% (Compound Annual Growth Rate / Maximum Drawdown Percentage):

• What it Measures: The growth of your account over time (CAGR) relative to the worst peak-to-trough decline (Max Drawdown).
• Importance: It tells you how much risk (drawdown) you’re taking to achieve returns. A higher CAGR/Max DD means your returns are efficient in relation to the risk you’ve taken.
• When it’s Critical:
  • When you aim for long-term, steady growth with controlled risk.
  • If you prioritize minimizing drawdowns, which is crucial for strategies that need to stay resilient in volatile markets (like your long-term trading approach).

2. Sharpe Ratio:

• What it Measures: The return per unit of risk (volatility). It measures how well your strategy compensates you for the risk taken (volatility of returns).
• Importance: A higher Sharpe ratio (above 1, or ideally above 2) means the strategy offers a better risk-adjusted return. It’s a good metric for comparing different strategies to see which one generates smoother returns relative to volatility.
• When it’s Critical:
  • When you care about consistent performance and want to compare risk-adjusted returns between strategies.
  • If your strategy experiences large fluctuations in returns, the Sharpe ratio helps determine if the higher returns are worth the risk (volatility).

Comparison in Your Strategy:

• CAGR/Max DD%: Since you are building a strategy for long-term use, minimizing drawdowns (while still growing your account) is a key consideration. This metric is more focused on the capital preservation aspect and will be vital in avoiding large losses that could wipe out significant portions of your account.
• Sharpe Ratio: It’s essential for ensuring that your strategy has consistent returns relative to risk. However, if your drawdowns are well-managed (as per the focus on risk control), the Sharpe Ratio becomes secondary in importance.

Which is More Important?

For your strategy goals (focused on long-term performance and risk management): 1. CAGR/Max DD% should be the top priority because it balances growth with minimizing drawdowns. 2. Sharpe Ratio is important but secondary to CAGR/Max DD%. You should still aim for a Sharpe ratio above 1 (preferably 2+), but don’t compromise your drawdown management to chase a higher Sharpe ratio.

Conclusion:

Focus on maximizing CAGR/Max DD% to ensure your strategy can grow steadily with minimal drawdowns. A high Sharpe Ratio (above 2) is an excellent goal but secondary to ensuring that your strategy survives long-term market swings with controlled drawdowns.

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.