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In finance, a trend line is a bounding line for the price movement of a security. It is formed when a diagonal line can be drawn between a minimum of three or more price pivot points. A line can be drawn between any two points, but it does not qualify as a trend line until tested. Hence the need for the third point, the test. Trend lines are commonly used to decide entry and exit timing when trading securities. [1] They can also be referred to as a Dutch line, as the concept was first used in Holland.
A support trend line is formed when a securities price decreases and then rebounds at a pivot point that aligns with at least two previous support pivot points. Similarly a resistance trend line is formed when a securities price increases and then rebounds at a pivot point that aligns with at least two previous resistance pivot points. Stock often begin or end trending because of a stock catalyst such as a product launch or change in management.
Trend lines are a simple and widely used technical analysis approach to judging entry and exit investment timing. To establish a trend line historical data, typically presented in the format of a chart such as the above price chart, is required. Historically, trend lines have been drawn by hand on paper charts, but it is now more common to use charting software that enables trend lines to be drawn on computer based charts. There are some charting software that will automatically generate trend lines, however most traders prefer to draw their own trend lines.
When establishing trend lines it is important to choose a chart based on a price interval period that aligns with your trading strategy. Short term traders tend to use charts based on interval periods, such as 1 minute (i.e. the price of the security is plotted on the chart every 1 minute), with longer term traders using price charts based on hourly, daily, weekly and monthly interval periods.
However, time periods can also be viewed in terms of years. For example, below is a chart of the S&P 500 since the earliest data point until April 2008. While the Oracle example above uses a linear scale of price changes, long term data is more often viewed as logarithmic: e.g. the changes are really an attempt to approximate percentage changes than pure numerical value.
Trend lines are typically used with price charts, however they can also be used with a range of technical analysis charts such as MACD and RSI. Trend lines can be used to identify positive and negative trending charts, whereby a positive trending chart forms an upsloping line when the support and the resistance pivots points are aligned, and a negative trending chart forms a downsloping line when the support and resistance pivot points are aligned.
Trend lines are used in many ways by traders. If a stock price is moving between support and resistance trend lines, then a basic investment strategy commonly used by traders, is to buy a stock at support and sell at resistance, then short at resistance and cover the short at support. The logic behind this, is that when the price returns to an existing principal trend line it may be an opportunity to open new positions in the direction of the trend, in the belief that the trend line will hold and the trend will continue further.
A market trend is a perceived tendency of the financial markets to move in a particular direction over time. Analysts classify these trends as secular for long time-frames, primary for medium time-frames, and secondary for short time-frames. Traders attempt to identify market trends using technical analysis, a framework which characterizes market trends as predictable price tendencies within the market when price reaches support and resistance levels, varying over time.
In finance, technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. As a type of active management, it stands in contradiction to much of modern portfolio theory. The efficacy of technical analysis is disputed by the efficient-market hypothesis, which states that stock market prices are essentially unpredictable, and research on whether technical analysis offers any benefit has produced mixed results. It is distinguished from fundamental analysis, which considers a company's financial statements, health, and the overall state of the market and economy.
The relative strength index (RSI) is a technical indicator used in the analysis of financial markets. It is intended to chart the current and historical strength or weakness of a stock or market based on the closing prices of a recent trading period. The indicator should not be confused with relative strength.
In stock market technical analysis, support and resistance are certain predetermined levels of the price of a security at which it is thought that the price will tend to stop and reverse. These levels are denoted by multiple touches of price without a breakthrough of the level.
In finance, a dead cat bounce is a small, brief recovery in the price of a declining stock. Derived from the idea that "even a dead cat will bounce if it falls from a great height", the phrase is also popularly applied to any case where a subject experiences a brief resurgence during or following a severe decline. This may also be known as a "sucker rally".
A candlestick chart is a style of financial chart used to describe price movements of a security, derivative, or currency.
MACD, short for moving average convergence/divergence, is a trading indicator used in technical analysis of securities prices, created by Gerald Appel in the late 1970s. It is designed to reveal changes in the strength, direction, momentum, and duration of a trend in a stock's price.
A breakout is when prices pass through and stay through an area of support or resistance. On the technical analysis chart a break out occurs when price of a stock or commodity exits an area pattern. Oftentimes, a stock or commodity will bounce between the areas of support and resistance and when it breaks through either one of these barriers you can consider the direction that it's heading in a trend. Often the resistance level the price breaks through becomes a new support level, and vice versa. This can be a "Buy" or "Sell" signal depending on which barrier it broke through.
Point and figure (P&F) is a charting technique used in technical analysis. Point and figure charting does not plot price against time as time-based charts do. Instead it plots price against changes in direction by plotting a column of Xs as the price rises and a column of Os as the price falls.
The commodity channel index (CCI) is an oscillator originally introduced by Donald Lambert in 1980.
In financial markets, a pivot point is a price level that is used by traders as a possible indicator of market movement. A pivot point is calculated as an average of significant prices from the performance of a market in the prior trading period. If the market in the following period trades above the pivot point it is usually evaluated as a bullish sentiment, whereas trading below the pivot point is seen as bearish.
In technical analysis of securities trading, the stochastic oscillator is a momentum indicator that uses support and resistance levels. George Lane developed this indicator in the late 1950s. The term stochastic refers to the point of a current price in relation to its price range over a period of time. This method attempts to predict price turning points by comparing the closing price of a security to its price range.
Mean reversion is a financial term for the assumption that an asset's price will tend to converge to the average price over time.
In finance, Fibonacci retracement is a method of technical analysis for determining support and resistance levels. It is named after the Fibonacci sequence of numbers, whose ratios provide price levels to which markets tend to retrace a portion of a move, before a trend continues in the original direction.
The Vortex Indicator is a technical indicator invented by Etienne Botes and Douglas Siepman to identify the start of a new trend or the continuation of an existing trend within financial markets. It was published in the January 2010 edition of Technical Analysis of Stocks & Commodities.
Drummond Geometry is a trading method consisting of a series of technical analysis tools invented by the Canadian trader Charles Drummond starting in the 1970s and continuing to the present (2021). The method establishes support and resistance areas in multiple time periods and uses these to determine high probability trading areas.
Ichimoku Kinko Hyo (IKH) (Japanese: 一目均衡表, Hepburn: Ichimoku Kinkō Hyō), usually shortened to "Ichimoku", is a technical analysis method that builds on candlestick charting to improve the accuracy of forecast price moves.
In financial technical analysis, a candlestick pattern is a movement in prices shown graphically on a candlestick chart that some believe can help to identify repeating patterns of a particular market movement. The recognition of the pattern is subjective and programs that are used for charting have to rely on predefined rules to match the pattern. There are 42 recognized patterns that can be split into simple and complex patterns. Author Thomas Bulkowski takes an in-depth look at 103 candlestick formations, from identification guidelines and statistical analysis of their behaviour to detailed trading tactics. He makes important discoveries and statistical summaries, as well as a glossary of relevant terms and a visual index to make candlestick identification easy.
Price action is a method of analysis of the basic price movements to generate trade entry and exit signals that is considered reliable while not requiring the use of indicators. It is a form of technical analysis, as it ignores the fundamental factors of a security and looks primarily at the security's price history. However, this method is different from other forms of technical analysis, as it focuses on the relation of the security's current price to its price history, which consists of all price movements, as opposed to values derived from the price history.
In finance, MIDAS is an approach to technical analysis initiated in 1995 by the physicist and technical analyst Paul Levine, PhD, and subsequently developed by Andrew Coles, PhD, and David Hawkins in a series of articles and the book MIDAS Technical Analysis: A VWAP Approach to Trading and Investing in Today's Markets. Latterly, several important contributions to the project, including new MIDAS curves and indicators, have been made by Bob English, many of them published in the book.