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Discover SpongeBob SquarePants 2025 review with verified trading results, 62% win rate and 8% average drawdown. Read the analysis to improve returns now.
Core approach and methodology
Powerful capabilities designed for professional trading
Trades key daily levels: Yesterday's High and Yesterday's Low
Volume-based entry logic for higher probability breakout trades
Secret Formula risk management for controlled position sizing
Designed for MT5 with low-latency order execution compatibility
Optimized for major forex pairs with high liquidity
Configurable session filters and adjustable trade frequency controls
This expert advisor is designed for these trader profiles
Swing traders seeking automated entries around daily high low levels
Traders who prefer rule-based position sizing and defined stops
MT5 users with low-spread ECN brokers and VPS setups
Analytical traders wanting measurable results and monthly statistics
SpongeBob SquarePants review 2025 performance analysis begins by identifying what separates this EA from common grid or martingale systems. The developer Wendell Aganos focuses on a daily level breakout and reversal method that executes trades when price interacts with Yesterday's High and Yesterday's Low. The EA uses hardcoded volume logic and the so-called Secret Formula to determine entry size and stop placement, which contributes to the consistent results reported in live samples. SpongeBob SquarePants is unique because it combines simple level detection with volume confirmation rather than relying solely on indicators, and this produces cleaner trade signals in trending and range-transition markets. The algorithm scans daily session data and evaluates volume at those pivotal levels, initiating buy or sell setups only when predefined liquidity thresholds are met. It handles trending markets well when breakouts coincide with strong volume, and it can detect reversals when price rejection at daily extremes aligns with low-volume retests. The risk management approach emphasizes a conservative default stop and dynamic lot sizing tied to account equity, reducing catastrophic drawdowns. Realistic expected performance characteristics include moderate trade frequency, a measured win rate in the 55-65% range in tested instruments, and steady monthly returns rather than rapid explosive gains. Backtest and live Results are presented for transparency and to set realistic expectations for prospective users.
Comprehensive analysis of real-world trading performance and statistical metrics
Comprehensive analysis of potential risks and mitigation strategies
Conservative trading strategy with capital preservation focus
Potential equity decline during losing streaks
Impact of borrowed capital on position sizing
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Potential equity decline during losing streaks
Impact of borrowed capital on position sizing
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Step-by-step instructions to get SpongeBob SquarePants running on your MT5 platform
Install SpongeBob SquarePants by copying the EA file to your MT5 Experts folder and restarting the platform. Attach the EA to daily charts for each currency pair you want to trade and enable automated trading in MT5. Configure key parameters: account risk percentage or lot size, maximum concurrent trades, allowed trading hours, and slippage tolerance. Use brokers with low spreads and fast execution, preferably ECN or STP accounts, and run a VPS for 24/5 uptime. Test extensively: run forward tests on a demo account for at least 3 months and backtest across multiple years before committing live funds.
Download SpongeBob SquarePants from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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|---|---|---|---|---|---|---|
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SpongeBob SquarePants is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.
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