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Daily Pivot Points From Yesterday's Numbers

Yesterday's EUR/USD session: high 1.1100, low 1.1000, close 1.1060. Compute the pivot and the first support and resistance.

The pivot is the average of high, low, and close: 1.1100 plus 1.1000 plus 1.1060 is 3.3160, divided by three, which is 1.10533.

First resistance is twice the pivot minus the low: 2 times 1.10533 is 2.21067, minus 1.1000 is 1.11067, so 1.1107.

First support is twice the pivot minus the high: 2.21067 minus 1.1100 is 1.10067, so 1.1007.

The map for today: support 1.1007, pivot 1.1053, resistance 1.1107. The distance from the pivot to each is about 54 pips, and from support to resistance is 100 pips, matching yesterday's range.

Interpretation. Price opening above the pivot has buyers in control relative to yesterday's average. A first test of R1 at 1.1107 comes 54 pips above. A trade long from the pivot with a stop 20 pips below at 1.1033 has a target 54 pips away, a ratio of 2.7, and spread eats a bit.

But pivots are only references. Because many traders compute the same levels, they sometimes cluster orders. They also fail often, especially in trending markets, where price slices through them.

Do not use them alone. Check whether the pivot overlaps with prior structure, such as a swing high or round number, which adds weight.

Exercise: calculate pivots for ten days and mark how many times price reacted within 5 pips of a level.

Pivots work best on liquid pairs where many traders use them. For the Asian session, I find that pivots based on the previous New York close are useful for USDJPY, but less reliable for European pairs.

The calculation is correct. The pivot of 1.1053 is the average of yesterday's high, low, and close, and the first resistance and support sit about 54 pips either side, at 1.1107 and 1.1007. A useful check: R1 minus S1 always equals yesterday's range, here 100 pips, which follows directly from the formulas. So the pivot levels are really just a way of centring yesterday's range on its average price. Knowing that helps set expectations. If today's range is likely to be similar to yesterday's, reaching R1 or S1 is plausible, but reaching both in one session would mean an unusually wide day.

I used pivots on EURUSD for a few months and kept a simple tally on a notepad, which is probably the most useful thing I did with them. Out of 60 sessions, price touched the central pivot in 51, but it only gave me a tradeable bounce about a third of the time. The first support and resistance were touched far less often than the arithmetic suggests, because most days did not travel the full distance from the pivot.

What improved my results was using the pivot as a filter instead of a trigger. I only took a long when the first hour of London had opened and held above the pivot, and I only took a short when it held below. Trades against that bias went from a coin flip to clearly losing, so I dropped them completely.

One more practical point: I compute the levels from the 5pm New York close because that is how my platform defines the day. Using a different cutoff shifted my levels by several pips, and that was enough to make some of my test results disappear.

The trade example from the pivot to R1 shows how pivots can frame a setup. A long from 1.1053 with a stop at 1.1033 and a target at 1.1107 gives a ratio of 2.7. The question is whether the pivot offers a real reason for price to bounce, or whether it's just a calculated number. Because many traders and some algorithms use standard pivots, orders can cluster around them, which may create reactions. But in strong trends, price often moves straight through. Waiting for a rejection candle at the pivot before entering, rather than buying at the level blindly, adds a layer of confirmation.

The point about checking for overlap with prior structure is good advice. If the pivot at 1.1053 sits close to a previous swing high or the 1.1050 round number, the level has more reasons to matter. If it sits in empty space, with no other significance, it's more likely to be ignored. Some traders use pivots only when they coincide with other levels, treating confluence as the filter. That reduces the number of setups but may improve their quality. Testing pivots with and without confluence on past data would show whether the filter helps for the pairs being traded.

There are several pivot variations, including Fibonacci pivots, Camarilla pivots, and Woodie pivots, each using different formulas. The standard floor pivot in this post is the most widely used, which is an argument for it if the goal is to catch levels other traders watch. Calculating pivots for ten days and marking reactions, as the exercise suggests, is a good way to judge their value. Has anyone here tracked how often price reacts at daily pivots on EUR/USD? I'd be interested in whether the reactions were stronger at the central pivot or at R1 and S1, and how often price simply ran through.