Complete Comparison of Loss-Avoidance Filters Across All EAs | MEGAMAX, THUNDER BTC, AUSSIE DAILY & 10 More
Contents
- 1. MEGAMAX EA v3.4 MULTI (Primary Strategy — Breakout)
- 2. THUNDER BTC EA (Crypto Breakout)
- 3. HYDRA ETH EA (Crypto Breakout)
- 4. PHOENIX SOL EA (Crypto Breakout — No EMA Version)
- 5. AUSSIE DAILY EA (Supplementary — JPY Breakout)
- 6. SCALPRO EA (Supplementary — M5 Mean Reversion)
- 7. MOMENTUM JPY EA (Supplementary — H4 Trend Following)
- 8. BLAZE GOLD EA (Supplementary — XAUUSD H1 EMA + ATR)
- 9. GOLD Hedge Recovery EA (Martingale/Grid)
- Common Themes in Loss-Avoidance Design Across All EAs
- Conclusion
Complete Comparison of Loss-Avoidance Filters Across All EAs
⚠ Correction Notice (2026-05-27): The MEGAMAX figures cited in this article (PF 119, win rate 94.3%, etc.) originated from over-optimization. The true 10-year backtest values for megagrid are PF 5.55 / win rate 62.4%. The filter design comparisons themselves remain valid.
This article provides a full comparison of the 10 EAs published on fxea365.com, examining what losing patterns each EA is designed to avoid and which filters have been built in to achieve that goal.
The previous article MEGAMAX EA Loss-Avoidance Filters: A Complete Breakdown covered MEGAMAX's five filters in detail. Each of the other EAs has undergone the same process — analyzing losing patterns in historical backtests and implementing targeted filters in response.
1. MEGAMAX EA v3.4 MULTI (Primary Strategy — Breakout)
| Filter | Setting | Target Loss Pattern |
|---|---|---|
| Trading Hours | TradeStart=10 / End=22, ExcludeHours=11-13 | False breakouts during the lunch session |
| Volatility | MinATRRatio=0.7 | False breakouts during low-volatility periods |
| Trend Alignment | TrendMinAlign=2.0 | Immediate reversals after a breakout |
| Spread | MaxSpreadPoints=30 | Abnormal spreads around news releases |
| Win-Streak Scaling | WinStreakMult=0.5 (Anti-Martingale) | Loss reduction during losing streaks |
| New in v2.4 Risk Controls | Friday Close + Equity Stop 30% | Weekend gaps + black swan events |
Track Record: 10-year BT — Win Rate 94.3% / PF 119.57 / Max DD 0.38%
2. THUNDER BTC EA (Crypto Breakout)
| Filter | Setting | Target Loss Pattern |
|---|---|---|
| ATR Expansion | ATR(14) > 100-bar average × 1.3 | Low-volatility periods (BTC produces many false signals when quiet) |
| EMA Trend Alignment | Buy only when EMA(21) > EMA(100) | Avoids counter-trend entries |
| Breakout Confirmation | 12-bar High/Low body breakout | False signals triggered by wicks |
| Wider SL | SL = ATR × 2.5 | Avoids stop hunts in BTC's high-volatility environment |
| 24/7 Compatible | No time filter | (Not needed — BTC trades around the clock) |
Track Record: 5-year BT — Win Rate 34.4% / PF 1.40 / Max DD 40.77% / Annual Return +102%
Key Characteristic: The win rate is low, but a 1:3.2 reward-to-risk ratio preserves profitability. The wider SL is designed to absorb BTC's volatility and prevent catastrophic losses, even though Max DD runs higher as a result.
3. HYDRA ETH EA (Crypto Breakout)
Shares the same design as THUNDER BTC, optimized for ETH-specific parameters:
- ATR(20/100) used to match ETH's longer volatility cycle
- EMA(21/200) filter to exploit ETH's trend persistence
- BO Lookback=12 + Buffer=0.3 to handle ETH's higher rate of false breakouts
Track Record: 5-year BT — Win Rate 36.3% / PF 1.49 / Max DD 34.91% / Annual Return +59%
4. PHOENIX SOL EA (Crypto Breakout — No EMA Version)
| Filter | Setting | Target Loss Pattern |
|---|---|---|
| ATR Expansion | ATR(14) > 100-bar average × 1.3 | Low-volatility environments |
| Stronger Buffer | BO=48 bars (long-period High/Low) | Eliminates short-term noise |
| No EMA | Intentionally removed | Avoids restricting SOL's strong trend direction |
| SL = ATR × 3 | Slightly wider | Handles SOL's elevated volatility |
Track Record: 5-year BT — Win Rate 42.2% / PF 1.75 / Max DD 21.34% / Annual Return +38%
Key Characteristic: Among the three crypto EAs, this achieves the highest PF and lowest DD. Removing the EMA actually improved results.
5. AUSSIE DAILY EA (Supplementary — JPY Breakout)
Re-optimized across a broad 10-year Dukascopy dataset (2026-05-26).
| Filter | Setting | Target Loss Pattern |
|---|---|---|
| Trading Hours | TradeWindow 8–20h | Excludes unstable early Asian and late NY sessions |
| Buffer | Buf = 0.0 × ATR | AUDJPY tends to break out immediately, no buffer needed |
| Two-Stage Exit | TP1 = ATR × 2.0 / TP2 = ATR × 5.0 | Dual profit-taking + risk reduction |
| ATR Hold Limit | Hold = 96 bars | Prevents trades from turning into prolonged open losses |
Track Record: 10-year BT — Win Rate 66.6% / PF 1.93 / Max DD 41.89% / CAGR 325%/year
Key Characteristic: AUDJPY tends to develop clear directional bias on the daily chart, making D1 high/low breakouts particularly effective.
6. SCALPRO EA (Supplementary — M5 Mean Reversion)
| Filter | Setting | Target Loss Pattern |
|---|---|---|
| Bollinger Band Outer Touch | Entry only outside BB(20, 2.0) | Avoids early entries based on price intuition |
| Two-Stage Exit | TP1 + TP2 with 50/50 lot split | Optimizes risk-reward distribution |
| Short Hold Period | Hold = 12–48 bars (M5) | Avoids prolonged open losses when a reversal trade fails |
| ATR-Based SL | SL = 0.5–2.0 × ATR | Adapts to both low and high volatility |
Track Record: 10-year BT — Win Rate 49.3% / PF 2.01 / Max DD 3.49% / Annual Return +62% (CADJPY)
Key Characteristic: Despite being a counter-trend strategy, Max DD of just 3.49% is exceptional. Only three currency pairs are used — EURUSD, CADJPY, and NZDJPY — as the other five pairs tested did not pass the BT criteria.
7. MOMENTUM JPY EA (Supplementary — H4 Trend Following)
| Filter | Setting | Target Loss Pattern |
|---|---|---|
| Trend Confirmation | EMA(21) > EMA(100) | Avoids entries in sideways markets |
| Pullback Wait | Buy when RSI < 40 (trend-aligned dip buying) | Avoids buying at the top |
| ATR-Based SL/TP | SL = ATR × 1.5 / TP = ATR × 3.0 | 1:2 reward-to-risk ratio |
| H4 Mid-Term Timeframe | Ignores short-term noise | Avoids false signals on M5/M15 |
Track Record: MT5 BT — Win Rate 41.3% / PF 1.29 / 286 trades (3 years)
Key Characteristic: Win rate is lower, as expected for a trend-following system, but the pullback-entry logic prevents buying into tops or selling into bottoms. Rated as a supplementary EA for portfolio use.
8. BLAZE GOLD EA (Supplementary — XAUUSD H1 EMA + ATR)
| Filter | Setting | Target Loss Pattern |
|---|---|---|
| Highly Selective Entries | Only ~4 trades per year (43 trades over 10 years) | Fewer trades = higher quality setups |
| Trend Continuation Check | Trades only in the direction of short-term EMA × long-term EMA crossover | Avoids false entries immediately after a cross |
| ATR Trailing Stop | SL = ATR × 2 with trailing | Locks in profit + enables early exits |
Track Record: 10-year BT — Win Rate 48.8% / PF 1.37 / Max DD 26.0% / Annual Return +38%
Key Characteristic: Targets only the major annual GOLD trends with a highly selective approach. Max DD of 26% is moderate, but with only ~4 trades per year, the psychological burden is minimal.
9. GOLD Hedge Recovery EA (Martingale/Grid)
| Loss-Avoidance Mechanism | Description |
|---|---|
| Hedge Recovery Logic | Modifies the cost basis using a hedge in the opposite direction |
| Short-Term Simulation | Designed for 1–2 year market conditions |
| ⚠ Fails in Long-Term BT | All martingale-type strategies broke down in 10-year backtests (see Verification Record) |
Important Note: Martingale strategies are structurally incapable of offering long-term guarantees. This EA is already flagged with a "⚠ High Risk" warning on the site, and even supplementary use is not recommended.
Common Themes in Loss-Avoidance Design Across All EAs
Comparing all 10 EAs reveals consistent principles that underpin effective loss-avoidance filters:
| Common Element | EAs Using It | Effect |
|---|---|---|
| ATR-Based SL | 10/10 | Automatically adjusts stop size to match each pair's volatility |
| EMA/MA Trend Confirmation | 7/10 | Prevents counter-trend entries |
| Volatility Threshold Filter | 6/10 | Avoids false entries in low-volatility or ranging markets |
| Time-of-Day Filter | 4/10 (FX-focused EAs) | Avoids false breakouts during low-liquidity hours |
| Two-Stage Profit-Taking | 5/10 | Halves risk while preserving upside potential |
The single most universal element is the ATR-based stop loss — it is the cornerstone of loss-avoidance design and is used across FX, crypto, and GOLD strategies alike.
Conclusion
Each of the 10 EAs on fxea365.com has been designed by analyzing the specific losing trade patterns that emerged during historical backtesting and implementing targeted filters to address them. This is the foundation of a strategy suite validated by 10-year backtests.
Behind the headline return figures lies the unglamorous work of identifying losing trade patterns and building filters to prevent them from recurring.
Related
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Gold EA Risk Management: How to Set Lot Size & Avoid Blowing Your Account
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XAUUSD EA Settings Guide — Optimal Parameters for Gold Trading in 2026
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