Moving averages are important components of many technical indicators. A simple moving average determines the average of a range of closing prices for a security or index for a specific period of time. An exponential moving average is a moving average that gives more weight to the most recent data. Simple moving averages are not weighted for time the way that exponential moving averages are, which has the effect of snapping the chart to the most current information, while simple moving averages have lag. Continue reading...
Moving averages are important components of many technical indicators. The Exponential Moving Average (EMA) uses the closing prices of all the previous trading days for a given interval to calculate an average price from that for the period, but is weighted to give the most recent days more influence over the final number. The weighted averages are plotted in a line that helps traders follow trends. Continue reading...
Moving averages are important components of many technical indicators. The Endpoint Moving Average (EPMA) is a popular method of plotting a line that uses linear regression instead of averages, which reduces the noise of market price activity and can reveal or follow trends. Compared to a simple moving average, this method hews more closely to data and lags less. A moving average line averages prices in a given time period (such as the 30 days leading up to each day), and plots that point on a chart; when connected, the collection of points becomes the moving average line. Continue reading...
Moving Average Convergence Divergence (MACD) is a frequently used momentum indicator composed of several moving average lines. A MACD line is plotted by using the exponential moving average (EMA) over 12-day periods and subtracting the EMA of 26-day periods. A “signal line” – the 9-day EMA – is then plotted on top of the MACD line. A histogram is also usually included to indicate the divergence between the signal line and the MACD. When the MACD and the signal line cross paths, these points of convergence are widely used as trading indicators that trends are starting or ending. Continue reading...
The advance/decline divergence oscillator (also called the McClellan Oscillator after its creators) tracks the rate of change in the advance-decline line (net advances). The AD line is formed from the Net Advances/Declines calculated daily at market close; this represents the proportion of stocks which advanced (increased) in price that day versus those which declined – the size of the difference is called the daily breadth. The advance/decline divergence oscillator can be applied to any group of stocks or exchange. Continue reading...
Swing trading is active trading that is not frequent enough to be categorized as day-trading but generally follows short-term trends. Swing trading can describe long or short positions traded on upswings and downswings of a security or index, and these positions are generally held from one day to two weeks. Generally, these are going to be momentum investments which are entered into after there seems to be confirmation of a trend, and the positions are closed out when there seems to be confirmation that the trend has ended. Continue reading...
Investors and traders are in constant search of tools they can use to gain any possible advantages from shifting markets. Technical indicators are especially vital parts of any trader’s kit, and few indicators are as consistent (and dependable) as moving averages. A Simple Moving Average (SMA) is a technical indicator that can help traders determine whether a bull or bear trend will continue or reverse course. It typically adds up closing prices for a given time period, then divides that figure by the number of time periods used for the average. Continue reading...
The Golden Cross is a breakout candlestick pattern formed when the short term 50-day moving average for a security exceeds its long term 200-day average, backed by high trading volumes. Investors typically interpret this crossover as a harbinger of a bull market, and its impact can reverberate throughout index sectors. The longer time horizons tend to increase the predictive power of the Golden Cross. As seen in the chart in this example, a trader may view the moment when a 50-day moving average (blue line) crosses above a 100-day or 200-day moving average (red line) as a bullish sign for the stock or security. A trader may consider taking a long position in the security, or perhaps explore call options to take advantage of the potential upside. Continue reading...
The Death Cross is the inverse of a Golden Cross: a chart pattern occurring when a security’s short-term moving average crosses underneath its long-term counterpart, typically followed by an increase in trading volume. A death cross, which like a golden cross most commonly uses long-term 50-day and 200-day moving averages to detect the pattern, usually signifies an incoming bear market to traders. Continue reading...
A moving average ribbon is created by plotting many incremental moving average lines on top of the same price chart. The visual relationship of the moving averages can help reveal crossover points, which traders can use as trade signals. As with other crossover indicators, the shorter-term moving average lines will tend to move more than the longer-term ones, and the degree of momentum that the crossovers imply increases for moving average lines of lengthier look-back periods. Continue reading...
The Kaufman’s Adaptive Moving Average (KAMA) was developed by analyst Perry Kaufman in an attempt to cancel out the noise of market volatility and inefficiency by using an efficiency ratio multiple. Kaufman’s algorithm is a bid to cancel out “noise” in the data used to create a moving average line. The Exponential Moving Average (EMA) is imperfect in part because of its reliance on historical data – if the data is not current, it tells traders nothing about how an asset may trend in the future. Some traders also believe that EMAs are biased by virtue of weighting recent data more heavily, which can lead to false signals and potential losing trades. Continue reading...
A weighted average is a calculation considers the relative importance or relevance of a piece of data. Weighted averages multiply numbers in the average by a predetermined factor, like time, that enhances the relevance given to the number. One example of a weighted average is the Exponential Moving Average (EMA), an alternative to the Simple Moving Average (SMA) line which gives greater weight to the more recent data. SMAs are effective in their simplicity, but their efficacy is most closely tied to how they are used. Continue reading...
The Detrended Price Oscillator (DPO) is a relatively uncomplicated tool of analysis that can be used to simplify a chart and identify conditions ripe for buying or selling. It turns the moving average line of a price chart into a flat horizontal axis, with prices plotted according to their distance from the moving average. Moving averages are important components of many technical indicators. A simple moving average determines the average of a range of closing prices for a security or index for a specific period of time. An exponential moving average is a moving average that gives more weight to the most recent data. Simple moving averages are not weighted for time the way that exponential moving averages are, which has the effect of snapping the chart to the most current information, while simple moving averages have lag. Continue reading...
Often referred to in the media as “New Highs and New Lows,” the High-Low Index is an observation of the number of stocks which hit 52-week highs or lows in the current day. The High-Low Index is usually expressed as a simple moving average (10-day or longer) of the Record High Percent. A Simple Moving Average (SMA) is a technical indicator that can help traders determine whether a bull or bear trend will continue or reverse course. It typically adds up closing prices for a given time period, then divides that figure by the number of time periods used for the average. Simple moving averages are effective in their simplicity, but their efficacy is most closely tied to how they are used. By giving equal weight to each data point, SMAs can limit bias towards any specific point in a specific time period. Continue reading...
A resistance line is the inverse of a support line and represents the glass ceiling through which a security price has difficulty breaking through. Resistance lines are calculated as part of analysis methods which use moving averages and standard deviation, or similar calculations, to put a range of probability on the expected movement of a security price, with the resistance line representing the top of that range. Continue reading...
Moving average envelopes and trading bands help traders filter their decisions to trade. These tools set thresholds on the amount of movement above and below a moving average to trigger a decision to trade (or at least prompt further consideration by the trader). A moving average envelope often takes a moving average line for a security or index and duplicates it, moving one line a certain percentage above and one a certain percentage below (the distance may depend on volatility levels). Price fluctuations in a security then might trigger a decision to sell when the price hits the upper band, or a decision buy when the price hits the lower band. If it crosses the bands it might be seen as a new trend. Continue reading...
Bollinger Bands were developed by famous trader John Bollinger as a technical analysis tool to discern the likely trading range of a security. A Bollinger Band is typically two standard deviations from a moving average line, both above and below the average. Standard deviation is another word for the average volatility of a price over a length of time. It is typical for a trader looking up the historical price chart for a security to compare it to a moving average line. Continue reading...
A support line represents an estimation of where a price is likely to stop moving downwards, based on recent data and analysis methods. It is arrived at with different formulas for different indicator methods, but it is generally a line derived from moving averages and standard deviation which represents a lower level at which traders would expect a price to rebound back upwards. Several methods of technical and fundamental analysis plot a support line or two as part of a graphical representation of trends. Theoretically, a price will only deviate so far from its moving average before bouncing back toward the middle. Continue reading...
On Tickeron’s homepage, you will see a news feed just like you would see on Facebook. However, even if you aren’t a subscriber to Tickeron yet, you can use and customize the newsfeed (to a degree). There are several more options for customizing the newsfeed and gaining greater access to information and insights for subscribers. Non-subscribers can filter the news based on asset classes/securities such as stocks, ETFs, mutual funds, cryptocurrencies, and Forex: Continue reading...
The Volume Weighted Average Price (VWAP) helps traders consider the influence of volume on prices. VWAP is calculated by taking the average of prices from a time period and dividing it by the trading volume for the current day. Traders use VWAP to confirm trends and decide whether to take long or short positions, while large institutions are likely to use VWAP to avoid disrupting market prices, finding the liquid and illiquid price points and trading so as not to move prices away from the averages. Continue reading...