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RSI(14) crossing the 50 level with the trend: a EUR/USD check

Instrument
EUR/USD
Sample period
2025-06-16 — 2026-07-20
Bars
400
Trades
16
Author: ForexNews24 Research Desk
Hypothesis
An RSI(14) crossing of the 50 level in the direction of the trend defined by EMA(50/200) confirms momentum and continues more often than a random entry.

Methodology

  1. Signal: RSI(14) crossing the 50 level in the direction of the trend set by EMA(50/200).
  2. Engine run with no parameter fitting to history, costs charged on every position change.
  3. Data — daily EUR/USD bars over the sample period available to the portal.

Results on real data

-4.3%
Return/year (CAGR)
7.3%
Max drawdown
-1.21
Sharpe ratio
19%
Winning trades
16
Trades in period
28%
Time in market
Test parameters
MetricValue
InstrumentEUR/USD
Period2025-06-16 — 2026-07-20
Bars400
CAGR-4.3%
Drawdown7.3%
Sharpe-1.21
Winning trades19%
Trades16
Time in market28%
949799102105
Study signalPassive holding
Equity curve versus passive holding on the EUR/USD sample, 2025-06-16 — 2026-07-20. On this sample the signal trailed passive holding. A result on one instrument over one period is an illustration, not a promise of returns.
How to read this result
The metrics are computed on the available EUR/USD pair, not on the instrument named in the hypothesis — for that one the portal holds no own reproducible history. We honestly show the signal on the data we have, instead of unverifiable figures for someone else's instrument.

How much can you trust this result

A single return figure proves nothing — it is easy to curve-fit to history. Below are three robustness checks. We show them even when they go against the strategy.

Hold-out sample · out-of-sample

The first 70% of the data is "training", the last 30% is a fair test on data the rules never saw. If the result is far worse on the test set, the strategy was fitted to the past.

MetricTrainTest (OOS)
CAGR/yr-2.7%-8.1%
Sharpe-0.84-1.85
Max drawdown4.1%3.9%
Bars279120
Loss-making on both training and test
Walk-forward · over time

The sample is cut into 5 consecutive segments. The return in each shows whether the strategy works evenly over time or rests on one lucky stretch.

+0.0%
#1
+0.0%
#2
-0.1%
#3
-4.2%
#4
-0.5%
#5
Monte-Carlo · 2,000 simulations

Trade order is reshuffled 2,000 times (bootstrap). The range shows how much the outcome depended on a lucky sequence rather than the strategy itself. p5–p95 is the corridor of "almost all" outcomes.

Final return
-10.7%+1.4%
median -4.7%
Drawdown (p95)
−11.5%
not deeper in 95% of simulations
Probability of loss
89%
share of outcomes in the red

Computed from the per-bar returns of the same run (costs already included). Monte-Carlo is deterministic: the numbers are stable across rebuilds. Historical robustness does not guarantee future results.

Reproduce this

Download the exact sample and run the logic yourself — the numbers above should match.

Instrument: EUR/USDPeriod: 2025-06-16 — 2026-07-20Bars: 400

A Binance spot EUR/USDT proxy series, not a forex-broker feed. Binance Spot REST API (api.binance.com/api/v3/klines).

Conclusion

On the EUR/USD sample, which covers a period with no pronounced trend, the signal posted a small loss — exactly what a trend-following rule does on a trendless market. This does not refute the hypothesis for trending stretches, but it shows the rule fails outside a trend.

Practical takeaway for the trader

The RSI 50 crossing is worth trading only with a trend filter and only on trending instruments; in a range the rule generates a losing streak.

FAQ

How representative is a result from a single sample?

It is one instrument over one period, and one without a pronounced trend, so the conclusion cannot be generalised to any market. The value of the run lies in an honest, reproducible illustration of the mechanics: the same rule on the same sample yields the same metrics for anyone who repeats the calculation.

Does a negative result mean RSI does not work?

No. It means a trend-following rule is predictably unprofitable on a trendless sample. On a trending stretch the outcome would differ — and that is the central takeaway of the study.

Can this result be reproduced?

Yes: the rule, the data and the costs are defined unambiguously. The same signal on the same sample yields the same metrics for anyone who repeats the calculation.

From research to application

In our Allocation product we implemented these algorithms with all the nuances covered across the portal.

Learn about Allocation