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Pivot Point Calculator

Calculate daily support and resistance pivot levels from previous session data.

Tool Status

Live CalculationActive
PrecisionVerified
Risk ModelStandard

Classic Pivot Levels

R3
Resistance 3
1.10633
R2
Resistance 2
1.10067
R1
Resistance 1
1.09633
PP
Pivot Point
1.09067
S1
Support 1
1.08633
S2
Support 2
1.08067
S3
Support 3
1.07633

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Store this calculation, analyze compounding growth, and keep a clean history.

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How to Use This Calculator

1
Enter previous High — The highest price of the previous trading session.
2
Enter previous Low — The lowest price of the previous session.
3
Enter previous Close — The closing price of the previous session.
4
Choose calculation method — Classic, Fibonacci, Woodie, or Camarilla.
5
Use the levels — R1-R3 are resistance, S1-S3 are support. PP is the central pivot.

Pro Tip: Consistent use of this tool is one of the most important aspects of successful trading.

What are Pivot Points?

Pivot Points are calculated support and resistance levels based on the previous day's high, low, and close. They're widely used by day traders and institutional traders.

The central Pivot Point (PP) acts as the main support/resistance level. Above PP, the market is considered bullish; below PP, bearish. R1/R2/R3 are resistance levels; S1/S2/S3 are support.

Multiple calculation methods exist — Classic (floor), Fibonacci, Woodie, and Camarilla — each with different formulas and emphasis on previous price action.

Key Features

Classic pivot formula
Fibonacci pivots
Woodie pivots
Camarilla pivots
3 support/resistance levels
Central pivot point

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Frequently Asked Questions

Classic (floor) pivots are the most widely used. Fibonacci pivots are popular among technical traders. The best method depends on your market and timeframe.

Pivot points are self-fulfilling indicators — because so many traders use them, price often reacts at these levels. They work best in trending markets with good volume.

While primarily used for day trading, weekly and monthly pivot points can be calculated for longer timeframes by using the previous week's or month's high/low/close.

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