Support Resistance Level Calculator
Use our free Support resistance level Calculator to plan your technical analysis strategy. Get detailed breakdowns, charts, and actionable insights.
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer
Support Resistance Level Calculator
Calculator
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Formula: Pivot = (High + Low + Close) / 3; R1 = 2P - L; S1 = 2P - H; R2 = P + (H-L); S2 = P - (H-L)
Worked example — Pivot: 1.0985 | R1: 1.1050 | R2: 1.1115 | S1: 1.0920 | S2: 1.0855
Formula
Pivot = (High + Low + Close) / 3; R1 = 2P - L; S1 = 2P - H; R2 = P + (H-L); S2 = P - (H-L)
The central pivot point is the average of the previous period High, Low, and Close. Support and resistance levels are calculated by applying arithmetic operations involving the pivot and the price range. Different methods (Fibonacci, Woodie, Camarilla) use alternative formulas for varied trading approaches.
Worked Examples
Example 1: EUR/USD Daily Pivot Points (Standard)
Problem:Yesterday EUR/USD had High = 1.1050, Low = 1.0920, Close = 1.0985. Calculate standard pivot points.
Solution:Pivot = (1.1050 + 1.0920 + 1.0985) / 3 = 1.0985 R1 = 2 x 1.0985 - 1.0920 = 1.1050 R2 = 1.0985 + (1.1050 - 1.0920) = 1.1115 R3 = 1.1050 + 2 x (1.0985 - 1.0920) = 1.1180 S1 = 2 x 1.0985 - 1.1050 = 1.0920 S2 = 1.0985 - (1.1050 - 1.0920) = 1.0855 S3 = 1.0920 - 2 x (1.1050 - 1.0985) = 1.0790
Result:Pivot: 1.0985 | R1: 1.1050 | R2: 1.1115 | S1: 1.0920 | S2: 1.0855
Example 2: S&P 500 Fibonacci Pivot Points
Problem:S&P 500 had High = 4520, Low = 4480, Close = 4505. Calculate Fibonacci pivot points.
Solution:Pivot = (4520 + 4480 + 4505) / 3 = 4501.67 Range = 4520 - 4480 = 40 R1 = 4501.67 + 0.382 x 40 = 4516.95 R2 = 4501.67 + 0.618 x 40 = 4526.39 R3 = 4501.67 + 1.000 x 40 = 4541.67 S1 = 4501.67 - 0.382 x 40 = 4486.39 S2 = 4501.67 - 0.618 x 40 = 4476.95 S3 = 4501.67 - 1.000 x 40 = 4461.67
Result:Pivot: 4501.67 | R1: 4516.95 | R2: 4526.39 | S1: 4486.39 | S2: 4476.95
Frequently Asked Questions
What are support and resistance levels in trading?
Support and resistance levels are price points on a chart where the forces of supply and demand converge, creating potential turning points for price action. Support is a price level where buying interest is strong enough to prevent the price from declining further, acting as a floor. Resistance is where selling pressure is sufficient to halt upward price movement, acting as a ceiling. These levels form because traders remember prior price points where reversals occurred and place orders accordingly. Pivot point calculations use the previous period high, low, and close to mathematically project these key levels for the upcoming trading session. They are among the most widely used technical analysis tools in forex, stock, and commodity trading.
How are standard pivot points calculated and used?
Standard (or classical) pivot points are calculated using three data points from the previous trading period: the high, low, and close. The central pivot point equals the average of these three values: Pivot = (High + Low + Close) / 3. From this central pivot, three resistance levels (R1, R2, R3) and three support levels (S1, S2, S3) are derived using arithmetic formulas involving the pivot and the price range. Traders use these levels to identify potential entry and exit points. If the market opens above the pivot, the bias is bullish, and traders look for long entries near support levels. If the market opens below the pivot, the bias is bearish, and traders look for short entries near resistance levels. Breakouts beyond R2 or S2 often signal strong directional moves.
What is the difference between standard, Fibonacci, Woodie, and Camarilla pivot points?
Each method calculates support and resistance levels differently, catering to various trading styles. Standard pivots use simple arithmetic based on high, low, and close, producing evenly spaced levels suitable for most market conditions. Fibonacci pivots apply Fibonacci ratios (38.2%, 61.8%, 100%) to the price range, aligning with the popular Fibonacci retracement tool and working well in trending markets. Woodie pivots give extra weight to the closing price by using (High + Low + 2 x Close) / 4 as the pivot, making them more responsive to recent price action and favored by short-term traders. Camarilla pivots produce levels closer to the current price using a proprietary formula based on the range multiplied by fixed ratios, designed for intraday reversal trading.
How reliable are pivot points for predicting price movements?
Pivot points are one of the most reliable leading indicators in technical analysis because they are self-fulfilling to a degree; since thousands of traders watch the same levels, buying or selling activity naturally concentrates near these prices. Studies have shown that price respects the central pivot level approximately 70 to 80 percent of the time in range-bound markets. However, reliability decreases in strongly trending markets where price can blow through multiple levels. Pivot points work best when combined with other technical tools such as moving averages, candlestick patterns, volume analysis, and momentum oscillators. They are particularly effective in high-liquidity markets like major forex pairs, stock indices, and actively traded commodities where institutional participation reinforces these levels.
Should I use daily, weekly, or monthly pivot points for my trading?
The timeframe for pivot point calculation should match your trading horizon. Day traders and scalpers typically use daily pivot points calculated from the previous day high, low, and close to identify intraday support and resistance levels. Swing traders who hold positions for several days often refer to weekly pivot points for broader context and key levels that the market may respect throughout the week. Position traders and investors may use monthly pivot points for major support and resistance zones that influence price over longer periods. Many experienced traders combine multiple timeframes, using weekly or monthly pivots for the overall directional bias and daily pivots for precise entry and exit timing. Confluence zones where pivots from different timeframes align tend to produce the strongest reactions.
References
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer · Editorial policy
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