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Using Pivot Points for Predictions – Technical Analysis – Investopedia

Pivot points are used by traders in equity and commodity exchanges. They’re calculated based on the high, low, and closing prices of previous trading sessions, and they’re used to predict support and resistance levels in the current or upcoming session. These support and resistance levels can be used by traders to determine entry and exit points, both for stop-losses and profit taking.
There are several different methods for calculating pivot points, the most common of which is the five-point system. This system uses the previous day's high, low, and close, along with two support levels and two resistance levels (totaling five price points), to derive a pivot point. The equations are as follows:

Pivot Point = ( Previous High + Previous Low + Previous Close ) 3 text{Pivot Point} = frac{left(text{Previous High} + text{Previous Low} + text{Previous Close}right)}{3}

Pivot Point=3(Previous High+Previous Low+Previous Close)

Support 1 (S1) = ( Pivot Point 2 ) Previous High text{Support 1 (S1)} = left(text{Pivot Point}*2right) – text{Previous High}

Support 1 (S1)=(Pivot Point2)Previous High

Support 2 (S2) = Pivot Point ( Previous High Previous Low ) text{Support 2 (S2)} = text{Pivot Point} – left(text{Previous High}- text{Previous Low}right)

Support 2 (S2)=Pivot Point(Previous HighPrevious Low)

Resistance 1 (R1) = ( Pivot Point 2 ) Previous Low text{Resistance 1 (R1)} = left(text{Pivot Point}*2right) – text{Previous Low}

Resistance 1 (R1)=(Pivot Point2)Previous Low

Resistance 2 (R2) = Pivot Point + ( Previous High Previous Low ) text{Resistance 2 (R2)} = text{Pivot Point} + left(text{Previous High}- text{Previous Low}right)

Resistance 2 (R2)=Pivot Point+(Previous HighPrevious Low)
For stocks, which trade only during specific hours of the day, use the high, low, and close from the day's standard trading hours.
In 24-hour markets, such as the forex market in which currency is traded, pivot points are often calculated using New York closing time (4 p.m. EST) on a 24-hour cycle. Since the GMT is also often used in forex trading, some traders opt to use 23:59 GMT for the close of a trading session and 00:00 GMT for the opening of the new session.
While it’s typical to apply pivot points to the chart using data from the previous day to provide support and resistance levels for the next day, it’s also possible to use last week’s data and make pivot points for next week. This would serve swing traders and, to a lesser extent, day traders.
Another common variation of the five-point system is the inclusion of the opening price in the formula:

Pivot Point = ( Today’s opening + Yesterday’s High + Yesterday’s Low + Yesterday’s Close ) 4 text{Pivot Point} = frac{left(text{Today’s opening} + text{Yesterday’s High} + text{Yesterday’s Low} + text{Yesterday’s Close}right)}{4}

Pivot Point=4(Today’s opening+Yesterday’s High+Yesterday’s Low+Yesterday’s Close)
Here, the opening price is added to the equation. The supports and resistances can then be calculated in the same manner as the five-point system, except with the use of the modified pivot point.
Yet another pivot-point system was developed by Tom DeMark, founder and CEO of DeMARK Analytics. This system uses the following rules:
As you can see, there are many different pivot-point systems available. 
While knowing how to calculate pivot points is important for understanding what you're using, most charting platforms calculate pivot points for us. Simply add the pivot-point indicators to your chart and choose the settings you prefer.
The pivot point itself is the primary support and resistance when calculating it. This means that the largest price movement is expected to occur at this price. The other support and resistance levels are less influential, but they may still generate significant price movements.
Pivot points can be used in two ways. The first way is to determine the overall market trend. If the pivot point price is broken in an upward movement, then the market is bullish. If the price drops through the pivot point, then it’s is bearish.
The second method is to use pivot point price levels to enter and exit the markets. For example, a trader might put in a limit order to buy 100 shares if the price breaks a resistance level. Alternatively, a trader might set a stop loss at or near a support level.
While at times it appears that the levels are very good at predicting price movement, there are also times when the levels appear to have no impact at all. Like any technical tool, profits won't likely come from relying on one indicator exclusively. 
The success of a pivot point system lies squarely on the shoulders of the trader and depends on their ability to effectively use it in conjunction with other forms of technical analysis. These other technical indicators can be anything from a MACD to candlestick patterns, or using a moving average to help establish the trend direction. The greater the number of positive indications for a trade, the greater the chances for success.
Pivot points are a great way to identify areas of support and resistance, but they work best when combined with other kinds of technical analysis
Pivot points are based on a simple calculation, and while they work for some traders, others may not find them useful. There is no assurance the price will stop at, reverse at, or even reach the levels created on the chart. Other times the price will move back and forth through a level. As with all indicators, it should only be used as part of a complete trading plan.
The Technical Analysis Course on the Investopedia Academy provides a comprehensive overview of both chart patterns and technical indicators, as well as how they can be used to make educated projections and manage risk.
Subathra, R. “A Comparative Study on the Methods of Computing Pivot Points Using Logistic Regression.” International Journal on Recent Trends in Business and Tourism, vol. 4, no 4, October 2020, pp. 10.
Chicago Board of Trade. “The Marketplace for Active Traders,” Page 15.
Chicago Board of Trade. “The Marketplace for Active Traders,” Page 17.
Texas A&M Agrilife Extension. “OHLC, Pivot Points, and Support/Resistance.”
Wang, Jian and Kim, Junseok. “Predicting Stock Price Trend Using MACD Optimized by Historical Volatility.” Mathematical Problems in Engineering, vol. 2018, pp. 1-4.
White, Jim. “The Logics of Pivot Trading.” Stocks and Commodities, vol. 26, no 11, 2012, pp. 1.
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