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What is a pivot point?

Understanding Pivot Points in Technical Analysis

Pivot points are widely used technical indicators that help traders determine overall market trends and potential support and resistance levels. These indicators are essential tools in technical analysis and can be applied across various time frames, from intra-day trading to longer-term analysis. In this article, we will explore the concept of pivot points, how they are calculated, and their significance in trading decisions. A pivot point is a calculation derived from the average of the high, low, and closing prices of a previous trading period, such as the previous day, week, or month. It serves as a reference point for determining potential levels of support and resistance in the market. The pivot point itself is the central level, while additional support and resistance levels are projected above and below the pivot point.

Calculating Pivot Points

The calculation of pivot points is relatively straightforward. The most basic method involves averaging the high, low, and closing prices of the previous period. However, there are variations and different formulas used to calculate pivot points, depending on the specific trading strategy and time frame being analyzed.

Using Pivot Points in Trading

Pivot points are invaluable tools for traders as they provide important reference levels for buying and selling decisions. Here are some key ways in which pivot points are utilized in trading:

  1. Support and Resistance Levels: Pivot points help identify potential levels of support and resistance in the market. Support levels are considered price levels where buying pressure may emerge, preventing the price from falling further. Resistance levels, on the other hand, are price levels where selling pressure may increase, preventing the price from rising further. Traders closely monitor these levels to gauge potential price reversals.

  2. Trend Analysis: By observing whether the price is trading above or below the pivot point, traders can gauge the overall market sentiment. If the price is above the pivot point, it is often interpreted as bullish sentiment, while trading below the pivot point suggests bearish sentiment. This information helps traders align their strategies with the prevailing market trend.

  3. Entry and Exit Points: Pivot points are used to determine optimal entry and exit points for trades. Traders may look for opportunities to enter the market when the price moves above a resistance level or breaks through a support level. Conversely, they may consider exiting a trade when the price approaches a strong resistance level or falls below a significant support level.

  4. Stop Loss and Take Profit Levels: Pivot points assist in setting stop loss and take profit levels, which are crucial for managing risk and protecting profits. Traders can place their stop loss orders below support levels or above resistance levels to limit potential losses. Similarly, take profit orders can be set near resistance levels or support levels to secure profits when the price reaches these levels.

Pivot points play a vital role in technical analysis and are widely used by traders to determine market trends, support and resistance levels, and potential entry and exit points. By understanding the basics of pivot points and incorporating them into their trading strategies, traders can make informed decisions and increase their chances of success in the financial markets. It's important to note that pivot points should be used in conjunction with other technical indicators and tools to validate trading signals and minimize risks. As with any trading strategy, thorough research, risk management, and continuous learning are essential for achieving consistent profitability in trading.


A pivot point is a technical indicator used by traders to determine overall market trends over various windows. This indicator used to be solely the average of the high, low, and closing prices of the previous day, but modern trading utilizes different versions of this concept for day trading and short term analysis. In many cases, pivot points are now quick-reference tools used in intra-day trading that give the trader benchmarks and perspective as short-term price movements happen. How the trader calculates the pivot point depends on whether the point is going to be part of a chart with a scope of several minutes or the present day or present week.

Pivot points are calculated by averaging the high, low, and close price levels of a stock market index or individual security for a previous period: yesterday, last week, last month, and so on.

Support and resistance levels for indicator lines can be calculated from the average by multiplying those numbers by simple factors. These multiple might be very simple, such as 2x or 3x, or using Fibonacci numbers. Because of this simplicity, they were a favorite reference for floor traders, who could do quick calculations on scratch paper.

Intraday traders use technical indicators to find inefficiencies or price fluctuations that they believe will make for successful trades. These charting tools serve as guidelines for buying and selling opportunities. There are thousands of technical indicators, but the most popular ones are the MACDBollinger BandsStochastic Oscillators, the Directional Movement Indicator and various patterns of price behavior, such as the Cup-and-Handle pattern, the Head-and-Shoulders pattern, the Pennant pattern, and the Broadening Wedge patterns.

Artificial intelligence tools can help locate these patterns for traders to capitalize on. There are myriad ways to use technical analysis in trading, and which indicator or methodology a trader decides to use usually depends on their experience, skillset, and the quality of the tools (A.I.) available to help them find trade ideas.

Tickeron's Offerings

The fundamental premise of technical analysis lies in identifying recurring price patterns and trends, which can then be used to forecast the course of upcoming market trends. Our journey commenced with the development of AI-based Engines, such as the Pattern Search Engine, Real-Time Patterns, and the Trend Prediction Engine, which empower us to conduct a comprehensive analysis of market trends. We have delved into nearly all established methodologies, including price patterns, trend indicators, oscillators, and many more, by leveraging neural networks and deep historical backtests. As a consequence, we've been able to accumulate a suite of trading algorithms that collaboratively allow our AI Robots to effectively pinpoint pivotal moments of shifts in market trends.

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