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A tiny dark hiker silhouette with a red backpack walks up a winding dirt trail across teal mountains under a small cloud.A tiny dark hiker silhouette with a red backpack walks up a winding dirt trail across teal mountains under a small cloud.A tiny dark hiker silhouette with a red backpack walks up a winding dirt trail across teal mountains under a small cloud.A tiny dark hiker silhouette with a red backpack walks up a winding dirt trail across teal mountains under a small cloud.
RetiredDTF

Daily Trend Follower

DTF · D1 Trend-Following (50/200 SMA)

Daily moving-average crossover, 8 majors + gold

Only gold made money (+$2,157); all seven FX majors lost. FX majors ranged rather than trended in 2018–2026, so a trend system had nothing to capture. Every parameter pair lands PF 0.91–0.99 and both out-of-sample halves lose — structural, not cost.

Category
Trend
Window
2018–2026 (8.5y)
Instruments
EURUSD, GBPUSD, USDJPY, AUDUSD, NZDUSD, USDCAD, USDCHF, XAUUSD
Timeframe
Daily (D1)
Tested
2026-06-20

Measured equity history

Recorded directly from the chronological test ledger.

2,205 points

Shown in the backtest's native equity or cumulative P&L units. It is not scaled to an investment amount because the published artifact does not provide a defensible capital denominator.

0.94Profit factor
-0.02Sharpe
-42.3%Max drawdown
36.7%Win rate
934 tradesSample
Not runGates passed
Not runPlacebo

How it works

  1. The bet

    What market behavior this strategy is wagering on.

    It wagers that FX majors and gold form persistent multi-month trends a slow moving-average crossover can ride, accepting many small losers in exchange for a few large winners that more than pay for them.

  2. How it decides

    What makes it enter, size, and exit a position.

    It goes long when the 50-day SMA crosses above the 200-day and short when it crosses below, holding each daily position until the averages cross back the other way, with an ATR-based stop bounding individual losses.

  3. How it can break

    The regimes and failure modes that turn the edge negative.

    It turns negative in range-bound, mean-reverting regimes where prices oscillate without sustained direction, as the FX majors did in 2018–2026: repeated false crossovers bleed whipsaw losses and spread while no trend large enough to recover them ever arrives.

Explainer compiled 2026-06-28 · opus-4.8

Market context

Live chart

Context only · not backtest evidence

Chart powered by TradingView. Live prices can differ from the point-in-time dataset used in the published test.

The story in one line

The classic 50/200-day SMA crossover on eight FX majors plus gold, run honestly on real 2018–2026 data, loses money: the account ends at $4,251 (−15% over 8.5 years) with a −42.3% max drawdown, net profit factor 0.94, Sharpe −0.02, win rate 36.7% across 934 trades. That is below the PF > 1.2 deployment bar by a wide margin.

The cause is structural, not cost-related: of the eight instruments, only gold (XAUUSD) made money (+$2,157). All seven FX majors lost. The majors ranged rather than trended during 2018–2026, so a trend-following system has nothing to capture and bleeds whipsaw plus spread. The historical trend edge in this basket now lives almost entirely in gold — and one instrument carrying a portfolio is the opposite of robust.

This is the third archetype to fail the bar (basket-grid PF 0.51; Fury/CORE PF 0.73–0.90 net; trend-D1 PF 0.94). The consistent lesson: simple published edges, costed honestly on the major-FX basket, do not clear PF 1.2. Trend-D1 retired.

Per-pair attribution

Gold is the only green bar. Strip it and the seven-pair FX book loses ~$3,000 (−60% of capital) on its own.

Pair Net P/L of which swap Trades Win rate
XAUUSD +$2,157 −$389 112 43%
EURUSD −$123 −$36 105 39%
USDJPY −$258 +$8 113 36%
AUDUSD −$268 −$37 132 39%
GBPUSD −$361 −$56 116 34%
USDCAD −$445 −$92 125 42%
USDCHF −$701 −$132 120 30%
NZDUSD −$853 −$55 111 30%

A 36.7% win rate is normal for trend-following — a few big winners pay for many small losers. The problem is the winners weren’t big enough: gross profit $12.9k vs gross loss $13.7k. Gold’s secular uptrend (≈$1,300 → ≈$3,300/oz) is the entire edge.

Parameter-robustness sweep

If an edge is fragile to small crossover changes, it’s overfit. Here the opposite is true — the strategy is robustly absent. Nothing clears 1.0, let alone 1.2, and there is no parameter island of profitability to overfit to.

Crossover PF Sharpe CAGR Max DD Trades
50 / 200 (spec) 0.94 −0.02 −1.9% −42.3% 934
100 / 200 0.95 0.01 −1.3% −30.5% 745
50 / 100 0.99 0.13 +0.8% −50.2% 1030
20 / 100 0.91 −0.04 −2.7% −51.3% 1354

Both out-of-sample halves also lose independently: train 2018–2022 PF 0.96, validate 2023–2026 PF 0.97. There is no regime in the 8.5-year span where the literal spec produced a positive PF.

Structural, not cost

To separate implementation from premise, the canonical golden/death-cross variant — always in-market, hold until the cross flips, stops removed — was tested as the most charitable, textbook implementation. Multi-month holds, no whipsaw, no stop-churn: it reaches PF 1.01 in-sample (break-even) with a 129-day median hold — recovering ~7 PF points by killing whipsaw and the −3 ATR stops. But it collapses to PF 0.72 / Sharpe −0.37 out-of-sample (2023–2026). Even its in-sample break-even is entirely gold (+$2,679) papering over NZD −$1,027 and CHF −$1,210.

The diagnosis: better implementation confirms the literal rule does leak value to whipsaw and stops — but fixing all of that still leaves a strategy that only breaks even in-sample and loses out-of-sample, because the underlying premise — that the 8 majors trend — was false for this decade. Costs make a structurally edgeless strategy worse; they are not the reason it has no edge.

Verdict: FAIL (PF 0.94). Do not deploy. Don’t run 50/200 (or any tested variant) on the 8-major basket — it loses across every cut. The only signal worth a follow-up is that daily trend-following on gold carried real edge here, but that is one instrument, not a portfolio, and out of scope for “forex.” The transferable lesson: pivot the instrument set (FX majors are efficient and range-bound), not the signal.

Charts & evidence

Per-pair net P/L — gold is the only green bar
Per-pair attribution: gold (+$2,157) is the only green bar; all seven FX majors lose. Strip gold and the FX book loses ~$3,000 on its own.
Portfolio equity with drawdown-kill events
Portfolio equity ends at $4,251 (−15%) over 8.5 years; red lines mark drawdown-kill events.
Underwater drawdown vs the −15% kill line
Max drawdown −42.3% — the −15% per-episode kill rebases the peak and the strategy keeps bleeding via a sawtooth.
Out-of-sample 2023–2026 equity
Out-of-sample (2023–2026) also loses — there is no regime in the span with a positive PF.

Frequently asked

Does 50/200 SMA trend-following work on forex majors?

Not in 2018–2026. The classic 50/200-day crossover on eight FX majors plus gold returned a net profit factor of 0.94, a Sharpe of −0.02, and a −42% max drawdown. Of the eight instruments only gold made money (+$2,157); all seven FX majors lost. The majors ranged rather than trended, so a trend-following system had nothing to capture and bled whipsaw plus spread.

Is the trend-following loss caused by costs or by the strategy?

Structural, not cost. Every parameter pair tested (50/200, 100/200, 50/100, 20/100) lands at PF 0.91–0.99, and both out-of-sample halves lose money. Even the most charitable textbook implementation (multi-month holds, no stop-churn) only reaches break-even in-sample and collapses to PF 0.72 out-of-sample — because the underlying premise, that the majors trend, was false for this decade.

Methodology: Independent research screen — the full 11-gate battery was not run; data and execution limits are stated in the report. Full reproducible report: backtests/trend/REPORT.md in the source repository.Author: Validated Research Team (Methodology v1.0 — 11-gate validation). Backtests are not investment advice.