Multi-TF Confluence strategy: rules and backtest
Multi-TF Confluence opens a trade only when signals align across several timeframes, filtering out contradictory situations.
| Parameter | Value |
|---|---|
| Type | Arbitrage |
| Timeframe | H4–D1 |
| Complexity | Intermediate |
| Instrument | US100 |
How the signal works
The strategy requires agreement across several horizons: for example, a trend on the daily, a pullback on the four-hour, and an entry signal on the hourly. A trade opens only when all timeframes point the same way — this sharply reduces the number of signals but raises their selectivity.
The strength of the approach is in filtering: a contradiction between timeframes almost always means uncertainty, and declining to enter at such moments saves you from most false trades. The price is rare signals and dependence on several data streams at once.
Why this strategy cannot be honestly tested on our data
The strategy by definition requires several timeframes at once — that is its whole essence. The available data is only daily bars of a single pair, so the alignment of signals on the daily, four-hour and hourly horizons cannot be reproduced: the higher and lower timeframes simply are not in the sample.
We deliberately show no backtest here: presenting attractive figures computed on unsuitable data would mislead the reader.
Pros and cons
- High selectivity: enters only when the horizons agree.
- Filters out most false signals of a single timeframe.
- Combines the context of the higher and the precision of the lower timeframe.
- Rare signals — much time out of the market.
- Requires several data streams at once.
- The difficulty of reconciling rules across timeframes.
Pitfalls
The mistake is thinking that more timeframes is always better: an excessive number of conditions means signals barely arise and the strategy sits idle. The second trap is misaligned rules across horizons, where the "trend" on the higher and the "signal" on the lower are defined incompatibly and the alignment turns out to be coincidental.
Who it suits
For disciplined traders willing to skip most situations in order to enter only on full timeframe agreement. It requires several data streams and careful reconciliation of rules across horizons.
Frequently asked questions
Why can the strategy not be tested on daily bars?
Its essence is the alignment of signals across several timeframes. With only a daily series, the conditions on the four-hour and hourly horizons cannot be checked: that data is not in the sample.
How many timeframes are optimal?
Usually two or three: the higher sets the context, the lower the entry point. An excessive number of conditions means signals barely arise and the strategy sits idle.
What is the main virtue of the approach?
Selectivity: a contradiction between timeframes almost always means uncertainty, and declining to enter at such moments filters out most false trades.