About 4ex.ninja

Our H4 EMA Strategy

4ex.ninja delivers forex trading signals through our optimized H4 EMA crossover strategy. Each pair uses individually tuned parameters validated through Monte Carlo simulation and Out-of-Sample (OOS) testing across 2024-2025 market conditions.

Optimized 4-Pair Portfolio: EUR/USD, GBP/USD, EUR/GBP, and USD/JPY — each with pair-specific parameters validated through rigorous statistical testing. Quality over quantity — we trade only what's proven.

📊 View Research Archive

Explore our complete backtest results across all tested pairs, including methodology and analysis that led to our current portfolio selection.

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Optimized Portfolio Performance

Our portfolio consists of 4 pairs with individually optimized parameters. Each configuration was validated through Monte Carlo simulation (1,000+ resamples) and Out-of-Sample testing on 2024-2025 market data.

Current Portfolio (OOS 2024-2025)

EUR/USDOPTIMIZED
OOS Pips:+1,092
Profit Factor:1.50
MC Validated:97%

Highest pip performance

GBP/USDOPTIMIZED
OOS Pips:+903
Profit Factor:1.32
MC Validated:88%

Strong consistent performer

EUR/GBPENHANCED
OOS Pips:+47
Profit Factor:1.23
COT Filter:Yes

COT sentiment filtered

USD/JPYOPTIMIZED
OOS Pips:+520
Profit Factor:1.82
MC Validated:96%

Best profit factor

Total OOS Performance: +2,562 pips across 4 optimized pairs with profit factors ranging from 1.23 to 1.82. All parameters validated through Monte Carlo simulation.

Why 4 Pairs?

We tested our H4 EMA strategy across 10 major forex pairs. Through rigorous parameter optimization and Monte Carlo validation, we identified 4 pairs with statistically robust edges that persist in out-of-sample conditions.

Pairs Not Currently Trading

AUD/USD — Negative OOS expectancy (-1,066 pips)
USD/CAD — Negative OOS expectancy (-1,139 pips)
Others — Did not meet Monte Carlo validation criteria

Our Philosophy: Quality over quantity. We trade only pairs that pass Monte Carlo simulation (90%+ positive outcomes) with validated OOS performance. This approach prioritizes statistical rigor over portfolio size.

Strategy Methodology

Pair-Specific EMA Crossovers

Each pair uses individually optimized EMA parameters on the 4-hour timeframe. Parameters were selected through grid search optimization and validated via Monte Carlo simulation to ensure statistical robustness across market conditions.

RSI Confirmation Filter

Signals require RSI confirmation with pair-specific periods. This multi-factor approach reduces false signals and improves entry timing by filtering out overbought/oversold conditions before trend reversals.

ATR-Based Risk Management

Stop losses are calculated using ATR (Average True Range), adapting to current volatility conditions. This dynamic approach provides appropriate breathing room during volatile periods while maintaining tight risk control in calmer markets.

COT Sentiment Integration

EUR/GBP utilizes Commitment of Traders (COT) data as an additional filter, trading only when commercial positioning aligns with the technical signal. This sentiment layer addresses the pair's unique characteristics that pure technical analysis misses.

Risk Management

0.5%
Position Size
Per trade risk
2:1 / 3:1
Risk:Reward
Target ratios
5%
Max Portfolio Heat
Total exposure limit

Kill Switch Protections

  • • Daily loss limit: >5% of account triggers emergency mode
  • • Pair loss limit: >100 pips on any pair triggers emergency mode
  • • Consecutive losses: >10 in a row triggers emergency mode
  • • Account drawdown: >20% triggers emergency mode

Risk Disclosure

Important Risk Warning: Forex trading involves substantial risk and may result in significant financial losses. Past performance, including OOS results, does not guarantee future results.

  • • OOS profit factors range from 1.23 to 1.82 — validated but not guaranteed
  • • Trading costs (spreads, slippage) will reduce net performance
  • • Maximum expected portfolio drawdowns of 15-20% during adverse conditions
  • • Strategy optimized for 2020-2025 conditions — future regimes may differ
  • • 6 of 10 originally tested pairs did not meet validation criteria
  • • Monte Carlo validation reduces but does not eliminate overfitting risk

Always exercise prudent risk management. Never exceed 0.5% risk per trade, maintain maximum 5% portfolio heat, and never trade with funds you cannot afford to lose. Consider our signals as part of a comprehensive trading plan rather than standalone investment advice.