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Discover NasdaqRsiPullbackWithSp500 2025 review with 62% win rate and 7% max drawdown. See live results, detailed strategy metrics, start informed trades.

Core approach and methodology
Powerful capabilities designed for professional trading
RSI pullback entries filtered by S&P 500 correlation for trend confirmation
Higher-timeframe trend filter to avoid sideways and counter-trend trades
Optimized for USTEC (Nasdaq 100) on M15 and M30 timeframes
Adjustable risk parameters with percent-based position sizing
Requires exact US500 broker symbol match for correlation filter operation
This expert advisor is designed for these trader profiles
Active MT5 traders who focus on equity index strategies and automation
Traders seeking systematic pullback entries with trend and correlation filters
Intermediate users comfortable adjusting risk settings and monitoring correlation
This detailed review of NasdaqRsiPullbackWithSp500 in 2025 examines real-world performance and presents an objective analysis of its live and historical results. The review compares backtests and verified live-account data, showing a performance profile aimed at capturing high-probability pullbacks while avoiding prolonged sideways markets. The developer Claus Nordhausen built the EA for MetaTrader 5 and explicitly recommends exact symbol matching for USTEC and US500 to ensure the correlation filter works reliably. What makes NasdaqRsiPullbackWithSp500 unique is the layered approach: an RSI pullback entry is accepted only when a higher-level trend and a positive correlation with the S&P 500 confirm direction. The algorithm calculates trend on a higher timeframe while executing on M15 or M30, and it uses ATR-informed stops combined with configurable fixed stops to adapt to volatility. The EA is coded for automation on MT5 and includes parameters for risk per trade, maximum concurrent trades, and correlation thresholds. Market conditions best suited to NasdaqRsiPullbackWithSp500 are trending sessions with clearly defined pullbacks, such as sustained Nasdaq moves following macro-driven trends. The risk management approach focuses on modest position sizing, capped exposure and automatic stop placement; expected performance characteristics include moderate win rate with controlled drawdowns rather than explosive returns. Claus Nordhausen’s implementation and the product’s 4.5/5 user rating from 100 reviews indicate consistent behavior across multiple brokers when configured correctly.
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 NasdaqRsiPullbackWithSp500 running on your MT5 platform
Install the EA file into the MT5 Experts folder and restart MetaTrader 5 so the robot appears in the Navigator. Attach NasdaqRsiPullbackWithSp500 to an USTEC chart and ensure the US500 symbol from your broker is visible and matches the EA configuration. Set the timeframe to M15 or M30 and configure core parameters such as risk percent, maximum trades, stop loss ATR multiplier, and correlation threshold. Use a VPS to reduce latency, enable AutoTrading, and run a forward test on a demo account for at least 30 live market days. Finally, perform a period-specific backtest and walk-forward test before going live.
Download NasdaqRsiPullbackWithSp500 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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NasdaqRsiPullbackWithSp500 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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