When I tested all five moving average patterns (SMA/EMA/WMA/HMA/DEMA), the textbook staple EMA200 turned out to be the worst
“EMA50/EMA200 golden cross, isn’t that the textbook staple?” — One of the methods beginners in FX first learn is the moving average cross strategy.
When the EMA of 50 periods and 200 periods cross, you enter in the direction of the trend. It’s a standard topic on social media and is almost always covered in beginner EA tutorials.
This time, after exhaustive testing of five moving averages (SMA / EMA / WMA / HMA / DEMA) across all periods and all combinations in EURUSD,the textbook-royal EMA 50/200 golden cross systematically turns out to be the most negativean unexpectedly negative result.
Even when you throw all other types, periods, and methods, none reach a level usable for actual operation on its own.
This article will cover,① systematic results by period for the 5 MA types, ② MA-type comparisons (EMA best, HMA/DEMA worst), ③ specific numbers for EMA 50/200 golden cross (win rate 32% / 8 trades per year), ④ cross-method vs touch-method comparison, ⑤ why the “textbook-royal” is structurally the worstusing only actual numbers.
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MA5 types: verification range and basic results
First, define the verification range clearly. I had Claude write five MA EAs and performed exhaustive testing on EURUSD as a single instrument across hundreds of configurations.
MA5 types features (in 3 lines)
- SMA (Simple): Simple average of the past N bars. Slow to react, resistant to noise
- EMA (Exponential smoothing): More weight on recent data. Fast to react, sensitive to noise
- WMA (Weighted): Heavier weight on the most recent bars, in a linear fashion. Between EMA and SMA
- HMA (Hull): Minimizes lag with a double WMA difference. Fastest reaction, already deals with noise
- DEMA (Double EMA): Lag-corrected via EMA of EMA. Reacts faster than EMA
Verification range
- Instrument: EURUSD single pair (other pairs are being verified separately)
- Timeframes: M15, M30, H1, H4, D1 — five types
- Periods: 10, 20, 50, 100, 200 — five types
- Entry directions: cross, touch, trend-following — three types
Calculated with seven years of historical data, using spreads and slippage comparable to real trading.
Hundreds of parameter configurations were tested. Claude Code independently analyzed parameters to explore various pattern configurations.
Period-based systematic results (EMA200 worst)
First, we looked at EMA on its own to gauge period sensitivity. The key question is what happens with the textbook default, 200.
EMA period-based average OOS expectation (price touch mean-reversion)
- Period 10: -0.056R (short-term touches cause noise losses)
- Period 20:-0.032R(best, almost even)
- Period 50: -0.041R
- Period 100: -0.048R
- Period 200 (standard):-0.055R(default is worst)
Unexpected result: “ textbook default is worst”
Period 20 was the best, while the canonical 200 was the worst—a surprising outcome.
This mirrors the same “textbook default worst” pattern seen in ADX and Stochastic verifications. It seems the settings everyone uses are already priced into the market statistically.
At this point, the EMA 50/200 golden cross strategy begins to look non-viable at least on EURUSD H1.
In the next sections, we will present even more detailed numbers.
From here on,we cover the comparison of the 5 MA types (EMA best, HMA/DEMA worst—a surprising result), the EMA 50/200 golden cross specific numbers (win rate 32% / 8 trades per year with no statistical significance), the cross-method vs touch-method comparison, and the structural reasons why the “textbook king” is the worst— content that will particularly resonate with those who DIY EA.
From here (Read more) onward:
- MA-type comparisons (EMA best, HMA/DEMA worst—an unexpected result)
- EMA 50/200 golden cross specific numbers (win rate 32% / 8 trades per year)
- Cross-method vs touch-method method-by-method comparison
- Why the “textbook king” is structurally the worst reasons
- Not MA alone, but the potential for explosive results with a composite design directions for verification