Name: Super Money Saver
SKU: 3ebb29e3-8edd-45c9-a076-0e329d73db99

SUPER MONEY SAVER

Based on the MetaTrader 5 Strategy Tester report screenshot you provided, your Super Money Saver Bot has generated strong, profitable metrics over its testing cycle.

The strategy demonstrates a highly efficient structural edge, converting an initial deposit of 100.00 USD into a Total Net Profit of 161.33 USD, resulting in a final ending equity balance of 261.33 USD

📊 Strategic Performance Breakdown

Profit Factor (1.72): This is a very healthy statistical edge. For every $1.00 the bot lost, it recovered $1.72 in gross profit. Anything above 1.5 is considered a robust professional baseline.
Win Rate Breakdown:
- Long Trades Win %: 91.79% (123 out of 134 trades won)
- Short Trades Win %: 82.50% (66 out of 80 trades won)
- Total Profit Trades: 88.32% of all market entries resulted in a positive payoff.
Sharpe Ratio (6.24): A reading this high indicates that the bot's mathematical returns are exceptionally stable relative to the directional risk it takes per position.

Key Structural Findings from the Executable Analysis

Core Indicators & Operations: The system relies heavily on processing price candlestick formations, calculating moving average crosses, and tracking trend variations across small timeframes (M1, M5, M15).
Execution System: It utilizes automated order handling structure blocks (OrderSend, OrderModify) designed to manage quick scaling positions and handle grid step adjustments.
Target Environment Compatibility: Built as a 64-bit multi-threaded runtime, optimized to loop calculations instantly per tick, minimizing execution drag when running live strategies on volatile instruments like XAUUSD (Gold)

Direct Optimization Recommendations for Your MQL5 Strategy

Based on your system structure and active setups, apply these configuration layers to ensure stability and block structural account drain:
1. Fixing False Signals on Moving Averages:
  Your previous strategies utilizing tighter indicators like the 5 and 30 EMAs yield too many fake triggers in flat market phases. To shield your bot, combine the crossover execution trigger with an Average True Range (ATR) filter or orderflow profile to restrict trades when volume dries up. [1, 2]
2. Apply Tight Multi-Target Safeguards:
  Instead of trailing open risk, segment your take-profit logic into tiered execution targets. Align the bot to lock partial returns at tight milestones (e.g., TP1 at 10 USD, TP2 at 20 USD) while fixing your maximum risk to a strict 5 USD hard stop loss to balance sudden market sweeps.
3. Deploy the Daily Loss Breaker:
  Ensure your code includes a sequential counter function. If the bot executes 3 consecutive losing trades within the same session, a code cutoff should completely pause the EA instance automatically until the next daily market open.

Super Money Saver

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