BTCUSD — the same indicator reads 377 times larger on one timeframe than another
Three charts of the same instrument, the same indicator and the same settings. Force Index with adaptive volatility bands at 13, 20 and 2.0 deviations, on BTCUSD monthly, weekly and daily.
The Force Index on the closed daily bar of 12 August reads −11,252,859.29. On the closed weekly bar of 2 August it reads −1,053,406,003.56. On the closed monthly bar of 1 July it reads −4,241,279,188.90.
Eleven million, one billion, four billion. A factor of roughly 377 between the smallest and the largest, from nothing more than changing the timeframe dropdown.
This is the same problem I measured in an earlier post, Why the Force Index is almost unusable across instruments — and the fix is older than the problem. That post compared different instruments: US30 weekly against ETHBTC hourly, where the readings differ by many orders of magnitude and no fixed threshold can serve both. What these three charts add is that the problem does not require two instruments. One chart, three timeframes, and the numbers are already incomparable.
The reason is not mysterious. The Force Index multiplies a price change by volume, and a monthly bar contains a month of both. It should be larger. The problem is that "larger" here is not a fixed multiple you can memorise — it depends on the instrument, the period and how active the market has been. Any number you write down as "oversold" is wrong on the next chart you open.
Scaled by its own recent standard deviation, the three become comparable. Against its own lower band, the monthly reading sits about two-thirds of the way down, the weekly about half, and the daily about a third. All three are negative, and the deepest one relative to its own range is the monthly — the slowest of the three.
That ordering is the point. It exists in the data, it is directly useful, and it is completely invisible in the raw figures.
The part that is not about scale
There is a second thing in these three charts, and it survives the scaling question entirely.
The basis line is the twenty-period average of the Force Index. On the monthly chart it reads +25,621,687,971.01. On the weekly, −807,681,738.96. On the daily, −6,224,655.78.
Positive on the monthly, negative on both shorter timeframes. Scaling cannot do that — dividing by a standard deviation changes magnitude, never sign. Averaged over the last twenty months, net effort on BTCUSD has been positive. Averaged over the last twenty weeks, and the last twenty days, it has been negative.
On the weekly chart this shows up in the bands themselves. The upper band sits at +619,285,680.44 while the basis is below zero, so the entire band structure has settled toward and below the zero line. The monthly chart would need a reading above +57.5 billion to reach its upper band. The weekly needs +619 million.
The long-horizon average has not turned. Both shorter ones have. That is a description of three lookback windows disagreeing, which is what you would expect during a period when a longer trend is being interrupted — and equally what you would expect during an ordinary pause inside one. These charts do not distinguish between those two cases and neither do I.
What they do show is that a single reading, on a single timeframe, quoted as a raw number, tells you almost nothing. It needs a scale, and the scale has to come from the instrument and period you are actually looking at.
What is on the charts
Force Index with Adaptive Volatility Bands — the Force Index with a basis and two bands computed from its own recent standard deviation, at 13, 20 and 2.0. The three captures differ only in timeframe. Free, and also available for MT4.
All figures are from closed bars: the 2026.07.01 monthly, the 2026.08.02 weekly and the 2026.08.12 daily. A reader opening these charts later will see different numbers.
Charts are from my own terminal on Exness, where every indicator here is developed and tested. I am an introducing broker for them; broker notes are on my profile.
