A momentum indicator allows for a quick comparison of a security’s current price relative to its past prices using a flexible time period, allowing traders to decide the parameters. The formula to calculate momentum is M = V – Vx (where V is the current price and Vx is the closing price from x number of days ago). A current price in excess of past price is a positive momentum indicator; a lower current price represents negative momentum. Continue reading...
Momentum investors usually have their own models for determining whether they think a price trend (to the upside or downside) is set to continue - sometimes it’s looking at a 3 month trend, sometimes a few weeks, sometimes even longer. The idea is that once a trend is established, an investor can buy into its continuance (if its an upward trend), or sell into (or sell short) if it is an established downward trend. Momentum investing is by no means a proven method, but sophisticated investors will try to use models to increase their probabilities of success. Continue reading...
Market momentum is the tendency of a trend to continue in one direction or another. Various analysis methods and indicators seek to identify the strength of trends and to find points of possible reversals and retracements. A market has strong momentum when trading volume is up and confirms the direction of price movement in the market. Bullish or bearish market sentiment will influence the degree of momentum that is present. Continue reading...
The Accumulative Swing Index (ASI) is a trendline representing the running total of an oscillator called the Swing Index, first described by Webb Wilder in his book, “New Concepts in Technical Trading Systems.” The Swing Index itself compares the price data from the current period and the preceding period to quantify the positive or negative “swing,” which can be understood as a measure of directional velocity in a price. Continue reading...
Earnings momentum is an indicator that is computed by not just looking at the earnings performance and estimations of a company, but looking at the positive or negative direction of earnings and the acceleration in that direction. Momentum in securities is much like momentum in physics. Where there is momentum, it is hard to slow things down and charge direction. Instead of looking only at the growth of earnings, which could be the slope of the inclining line, momentum also looks for increases in change to the growth rate, making earnings growth more parabolic or exponential. Continue reading...
Momentum trading usually involves long positions in a security that has been experiencing an uptrend and has a high volume of trading, and dropping positions that have lost momentum. Several systems exist to help take the emotion out of trading and to stick to a theory with rules. Momentum trading is such a system, and it can be automated with help from algorithm. Some indicators that can be used are Rate of Change and Relative Strength Index. Some would identify high momentum as steady price increases bolstered by high trading volume. Continue reading...
The momentum theory has many fans for its useful and relatively simple nature. The momentum theory basically states that markets which are moving either up or down for some period of time cannot suddenly reverse their course. Utilizing these strategies means jumping on a freight train, riding it for a short period of time, and jumping off before it stops and reverses direction. It is hard to argue with the this one, but it may be hard to find momentum strong enough for an investor’s taste in certain market environments, which might mean spending too much time on the sidelines, and due to the frequent active trading involved, the investor will incur fees and be susceptible to emotions and media hype. Continue reading...
The Aroon Indicators are a pair of momentum indicators – the Aroon Up value and Aroon Down value – named after the Sanskrit word for the first light of day. Each indicator represents a standardized value for the strength of the upward or downward pressure on a stock, which analysts can compare to determine if there is a trend emerging. Aroon looks at the latency between highs for certain rolling time periods, with 25 days being the standard time frame. Continue reading...
Technical Indicators are charting tools that appear as lines on charts, or as other kinds of graphical information, which serve as guidelines for buying and selling opportunities. They are based on mathematical formulas, and may be called oscillators, trading bands, and signal lines, among other things. Technical analysts use information about price, volume, standard deviation, and other metrics to construct systems for trading using mathematical formulas which can be translated into useful charting tools. The systems can bring discipline to a trader’s strategy by providing clearly defined circumstances in which a trader has reason to buy, sell, hold, and so on. Continue reading...
Leading indicators are economic or price data which have some degree of correlation with a movement in the market or a stock price. Leading indicators tend to happen before the market or price movement occurs. Traders and economists use leading indicators frequently to prepare for what’s next; they are based on theory as well as empirical historical evidence but like all indicators, they do not have a 100% accuracy rate – past performance does not guarantee future results. Continue reading...
Market indicators are quantitative tools for the analysis of market information, which may hint or confirm that a trend or reversal is about to happen (leading indicator) or has begun (lagging indicator). Indicators are technical analysis algorithms which give investors signals that may be used as the guidelines for trading. Indicators might be called oscillators or have various other proper names, since some of them are quite well-known, but there are general conventions or instructions for how to use an indicator, how it can be tweaked to suit the scope of your analysis, and what is considered a trade signal. Continue reading...
Technical indicators include moving average lines, trading bands, oscillators, and formations (found here), often presented in combinations. Popular indicators carry proper names. There are thousands of technical indicators, but the most popular ones are the MACD, Bollinger Bands, Stochastic Oscillators, the Directional Movement Indicator and various patterns of price behavior, such as “Head and Shoulder” formations. Continue reading...
The Chaikin Oscillator is a volume indicator that can help traders discern if price movements are verified by changes in trading volume. When there are discrepancies, it can mean that prices are exhibiting overbought or oversold conditions. Before the Chaikin Oscillator, On-Balance Volume was the most popular indicator for the job. On-Balance Volume (OBV) is a popular leading indicator introduced in the 1960s by Joe Granville. OBV is a line built using differences between daily trading volume – in Granville’s estimation, the major driver of market behavior – adding the difference on days that the market or stock moves up and subtracting the difference on days when the market or stock moves down. It looks for instances of rising volume that should correlate with price movement, but price movement has not occurred; additionally, OBV can be used to confirm lag. Continue reading...
What does it mean to technically analyze a stock or other security? Technical analysis involves identifying price ranges, trend momentum, and points of possible reversals via graphical representations of the math behind price movements, examining information to the second or third derivative, and using trial-and-error with formulas. Geometry, calculus, physics, and finance all play a part in this methodology. Continue reading...
“Buying the dips” is a bullish description of investing in stocks whose prices have gone down. We say this is a bullish sentiment because a bearish investor would be more likely to interpret the downturn as a sign of impending doom, or might prefer to play it safe. A “dip” can be loosely defined as a downtrend without much momentum or evidence to support a bearish outlook. Another way of interpreting a dip would be as an oversold condition, where investor sentiment has caused the price of a quality stock to fall. Bullish investors could maximize their gains in such a scenario by buying low and selling when the stock has recovered and pushed on to new highs. Technical analysis indicators such as Bollinger Bands can be used to identify favorable buying conditions. Continue reading...
Trading models are emotionless systems for decision-making in trading that can be automated or just used for reference. They tend to have logical parameters, such as “if x, then y” which can use popular trading indicators to implement a strategy that might only be used in certain conditions. Trading models are strategies employed with a specific design. Different trading models will use different technical indicators or types of charts to define and search for certain conditions in which a strategy can be used. Once the conditions are met, the model provides the decision-making logic that is intended to carry out a profitable trade without guesswork or emotion. Continue reading...
The Commodity Channel Index is an oscillator introduced in 1980 in Commodities magazine, but it can be used for indexes, ETFs, stocks, and so on. It basically displays the relative daily difference above or below a simple moving average. It can be used to identify overbought and oversold conditions and to confirm trends. The CCI averages out the prices of a commodity (or security) for a day, calling it the Typical Price, and compares it to the simple moving average for a time period (usually 20 days). Continue reading...
Market Breadth is a descriptor that is used in several market indicators such as the daily breadth, the A/D Line, the McClellan Oscillator, and Arms Index. Breadth is the relative difference in the amount of advancing stocks and declining stocks. Daily breadth is simply computed by subtracting one from the other, or creating a ratio in which one is divided by the other. Daily breadth is closely related, even interchangeable, with the Advance/Decline ratio. It can also refer to the difference between New Highs and New Lows, or Net New Highs. Continue reading...
Trend analysis is an attempt to explain market movements as general directional tendencies of various strength over various time frames. Trend analysis also works to predict future movements based on the probability of a trend continuing. The use of moving averages with support and resistance levels is the most commonly used methodology in trend analysis, and several trading strategies employ these tools in various ways. Trade volume, spreads, news, crossover points, and other market factors are also considered in the discipline. Continue reading...
Analytical financial theories and trading strategies can be “backtested” by applying them to historical data. Backtesting is to simulate what it would have been like to use a certain strategy or indicator in the past. Because markets are more complicated than a simple algorithm, such as an assumed future rate of return, it is preferable and somewhat more dramatic to use actual historical data for testing. There is an abundance of historical market data available to those who would like to use it for backtesting a theory, strategy, or indicator. Continue reading...