Indicators

Camarilla Pivots: Formula, H3 and H4 Levels, and How Often Price Reacts

Camarilla pivot points turn yesterday’s high, low and close into eight levels for today. The formula as TradingView documents it, a worked example on Bitcoin, the classic H3 fade and H4 breakout, and what 33 years of data say about both.

· Founder of PatternsWizard
Checked 8 min read
Camarilla pivots
On this page
  1. Camarilla pivot formula
  2. How to trade Camarilla pivots
  3. How often price reaches the levels: 33 years of data
  4. Where Camarilla pivots come from
  5. Camarilla versus standard pivot points
  6. Frequently asked questions

Camarilla pivot points are a set of support and resistance levels computed once per session from the previous session’s high, low and close. They are tighter than standard pivot points: the four main levels all sit within about half of yesterday’s range from yesterday’s close, so price meets them on most days. Intraday traders use them as a map of where to fade a move and where to follow it.

Camarilla H3, H4, L3 and L4 on hourly Bitcoin, levels from the previous UTC day

81,89680,61879,339Oct 26 00:00Oct 27 11:00Oct 28 23:00
  • Price, hourly candles (hollow up, filled down)
  • H4 and L4: close ± 1.1 × range / 2 of the previous UTC day (solid line)
  • H3 and L3: close ± 1.1 × range / 4 of the previous UTC day (solid line, second color)
Camarilla pivots on Bitcoin, hourly, October 26, 2026, 00:00 UTC to October 28, 2026, 23:00 UTC. Illustration of how the indicator reads, not a backtest.

Camarilla pivot formula

TradingView’s documentation of its pivot point indicator lists the Camarilla type with a constant of 1.1 applied to the previous range. With H, L and C the previous period’s high, low and close:

The levels are symmetric around the previous close, not around the classic pivot (H + L + C) / 3. H1 and H2, L1 and L2 sit within about 0.18 of the range from the close, and Camarilla guides rarely trade them. H5 and L5 use a different formula and appear only in some versions: H5 is the close multiplied by the ratio of the high to the low, which puts it at least one full range above the close, always beyond H4.

The chart above draws the same levels on hourly Bitcoin bars for October 26 to 28, 2026, each day’s levels computed from the previous UTC day. On October 28, hourly highs crossed H3 at 08:00 and again from 19:00, and hourly lows reached L3 at 13:00 and 16:00. The chart below shows the daily version on the S&P 500 ETF, where each day’s levels come from the previous daily bar.

Daily Camarilla levels on the S&P 500 ETF, each from the previous day

781.6763.6745.6Aug 5, 2026Sep 16, 2026Oct 28, 2026
  • Price, daily candles (hollow up, filled down)
  • H4 and L4: close ± 1.1 × range / 2 of the previous bar (solid line)
  • H3 and L3: close ± 1.1 × range / 4 of the previous bar (solid line, second color)
Camarilla pivots on S&P 500 ETF, dividend-adjusted prices, daily, August 5, 2026 to October 28, 2026. Illustration of how the indicator reads, not a backtest.

How to trade Camarilla pivots

LuxAlgo’s summary of the method describes two plays.

  • Fade H3 and L3. Price that opens between L3 and H3 is treated as range-bound: a test of H3 is a short, a test of L3 a long, with the stop beyond H4 or L4 and a target of rotation across the range.
  • Follow H4 and L4. A push through H4 or L4 is read as a breakout into a trend day: long above H4, short below L4, with H5 or L5 as the target. A quick return inside the levels is the usual warning of a false breakout.
  • Trend days break the fade. The same summary notes that the fade fails on trend days, so most playbooks wait for price to reject the level rather than act on a touch alone; trend days are the case the H4 and L4 breakout is meant to catch.

Camarilla levels: where to fade and where to follow

Breakout zoneBreakdown zoneRange zoneH4follow a break aboveH3fade a test: sellL3fade a test: buyL4follow a break belowPrevious close
H3 and L3
the inner levels, closest to the previous close
H4 and L4
the outer levels, twice as far from the close as H3 and L3
Solid path
a test of H3 that fails
Faded path
a break above H4 that holds
Schematic, not market data.The two Camarilla plays on one map: fade a test of H3 or L3 back toward the previous close, follow a break beyond H4 or L4.

LuxAlgo also uses the open to choose between the two: an open between L3 and H3 favors the fade, an open beyond H4 or L4, or a quick push past them, favors continuation. As with any support and resistance level, the price is a zone, not a line.

How often price reaches the levels: 33 years of data

We computed the daily Camarilla levels for every session of the S&P 500 ETF from February 1, 1993 to October 28, 2026 (8,494 days) and of Bitcoin from August 18, 2017 to October 28, 2026 (3,359 days), each from the previous daily bar. This is a description of how price behaves around the levels, not a full backtest: no stops, no targets, no costs.

Share of days the high or low reached each level

High reaches H367.0%62.4%High reaches H444.7%35.5%Low reaches L360.6%63.3%Low reaches L441.6%37.8%Both H3 and L3 reached the same day30.2%32.9%Neither H3 nor L3 reached2.5%7.3%
  • S&P 500 ETF
  • Bitcoin
Our computation; the inputs and the method are in the text.Daily levels from the previous daily bar: S&P 500 ETF, February 1, 1993 to October 28, 2026 (8,494 days); Bitcoin, August 18, 2017 to October 28, 2026 (3,359 days).

The levels are touched most days because they are close to the prior close: H3 is only 0.275 of yesterday’s range above it, H4 0.55. A level touched two days in three is not a rare event that needs explaining.

How the day closed after a touch of each level

Touched H3, closed back below H342.4%51.1%Touched L3, closed back above L348.8%55.6%Touched H4, closed above H458.0%53.8%Touched L4, closed below L451.3%46.1%
  • S&P 500 ETF
  • Bitcoin
Our computation; the inputs and the method are in the text.Share of the days that touched the level; a fade wants the first two rows high, a breakout the last two. Same data as the chart above.

The two plays, tested the simplest way, give the following. For the fade, we sell at H3 (or at the open, if the open is already above it) and buy back at the close, and do the opposite at L3. For the breakout, we buy at H4 and sell at the close, and do the opposite at L4.

ResultS&P 500 ETFBitcoin
Fade H3 and L3 to the close: trades, average, winners10,841, +0.008%, 50.8%4,220, −0.016%, 53.4%
Follow H4 and L4 to the close: trades, average, winners7,329, +0.009%, 51.1%2,465, +0.234%, 49.8%

On the S&P 500 ETF, both plays averaged less than a hundredth of a percent per trade, before any commission or spread. On Bitcoin, the fade won slightly more often than it lost but lost more on its losers, and the breakout averaged +0.234% a trade on fewer than half winners, so its winners were on average larger than its losers. Neither is an edge you could trade after costs on this evidence. Exits at the close are a simplification: real stops and intraday targets can change the picture in either direction. Our bench methodology explains how we test chart patterns, with random entries as the baseline this simple count does not have.

Where Camarilla pivots come from

LuxAlgo writes that the method is “usually credited to a bond trader in 1989”, without naming him. Some websites name the trader; we found no primary source, book or dated document confirming any name. LuxAlgo also notes that the H5 and L5 formulas differ across sources, which is one reason this page follows the version documented by TradingView.

Camarilla versus standard pivot points

  • Center. Standard pivots are built around (H + L + C) / 3; Camarilla levels are built around the previous close.
  • Width. In TradingView’s traditional formula, R2 and S2 sit a full range from the pivot, P ± (H − L); Camarilla H4 and L4 sit 0.55 of the range from the close, and H3 and L3 0.275, so they are reached far more often.
  • Use. Standard pivots are read as targets and supports for the day; Camarilla levels are read as a range to fade inside H3 and L3, and a breakout signal beyond H4 and L4.

Other level-based tools are listed in technical indicators, including pivot point high low.

Frequently asked questions

What is the Camarilla pivot formula?

From the previous high H, low L and close C: H4 = C + 1.1 × (H − L) / 2, H3 = C + 1.1 × (H − L) / 4, and L3 and L4 the same distances below C. H2 and H1 use / 6 and / 12. This is the version TradingView documents.

How do you trade Camarilla pivots?

The usual plan fades tests of H3 and L3 when price opens between them, with a stop beyond H4 or L4, and follows a break of H4 or L4 as a trend day. On our data, neither play showed an edge on daily bars before costs.

What is the difference between H3 and H4?

H3 is a quarter of 1.1 times the previous range above the close, H4 is half of it. H3 is the fade level, H4 the breakout level. On the S&P 500 ETF since 1993, the high reached H3 on 67% of days and H4 on 44.7%.

Who invented Camarilla pivots?

LuxAlgo says the method is usually credited to a bond trader in 1989, without a name. We found no primary source confirming the name that some sites give.

Do Camarilla pivots work for crypto?

The formula works on any market with a high, low and close. On daily Bitcoin from 2017 to 2026, fading H3 and L3 to the close averaged −0.016% a trade before costs, and following H4 and L4 averaged +0.234% with fewer than half winners.

Sources

  1. TradingView support, Pivot Points Standard
  2. LuxAlgo Library, Camarilla
, Founder of PatternsWizard

Passionate about finance, quantitative trading and data analysis. Amaury built the PatternsWizard test bench, which detects each pattern on full price history and measures what happened next against random entries.

PatternsWizard tests chart and candlestick patterns on full market history, against random entries. How we test patterns.

179 patterns testedRandom-walk self-test passed

All indicators articles