The Indicators

Aroon was created by Tushar Chande and identifies trends in a stock or index. It is comprised of two lines – Aroon up, which measures the strength of an uptrend, and Aroon down, which measures the strength of a downtrend.

The Aroon Oscillator uses the two components of the Aroon Indicator – the Aroon Up line (which measures the strength of an uptrend) and the Aroon down line (which measures the strength of a downtrend).

A weighted moving average is designed to put more weight on recent data and less weight on past data.

Williams %R (pronounced "Williams percent R") is used to measure when a security is either overbought or oversold. It fluctuates between 0 and 100%.

The On Balance Volume chart study highlights the relationship between volume and price change to detect a security's momentum.

Bollinger Bands are composed of three bands and help measure a security's volatility.

The volume rate of change study is designed to measure the percent change in a security's volume over a specified period of time that you designate. Awareness of volume shifts can help highlight price movements or market trends for a security.

The Volume Weighted Moving Average adds weight to a standard moving average based on the amount of volume in a given period of time. The idea behind volume weighted moving average is that the price should be given more weight in times of heavy trading activity.

The Average Directional Movement Index Rating (ADXR) measures the strength of the Average Directional Movement Index (ADX).

The Accumulation/Distribution Line is a volume indicator, meaning that it's used to measure the amount of money moving in or out of a security. Its common uses include predicting trends and trend reversals.

Average True Range (ATR) is an indicator based on trading ranges smoothed by an N-period exponential moving average percentage of the true range values. ATR can display volatility of stocks, ETFs and indexes.

Chaikin Money Flow is a volume indicator that measures the momentum of buying and selling pressure in the market based on Accumulation/Distribution Line data.

Chaikin's Volatility measures price volatility by comparing the spread between a series of a security's high and low prices over a set period of time.

Founded on the idea that prices move in cycles of highs and lows, the Commodity Channel Index (CCI) seeks to identify these cyclical changes in prices.

The Directional Movement Index (DMI) recognizes whether a trend is present and quantifies the strength of that trend.

The Donchian Channel, developed by Richard Donchian, is a moving average indicator that can be used to track and analyze the volatility of a market price. A Donchian Channel plots a security's highest high and lowest low over the last 20 periods prior to the plotted data points. Once the high and low points are plotted on a chart, the "channel" created between the points can be used to determine breakouts from a security's price trend.

Envelopes, or Trading Bands, are used to show the upper and lower limits of a security's normal trading range.

An exponential (or exponentially weighted) moving average is calculated by applying a percentage of today's closing price to yesterday's moving average value.

The Money Flow Index (MFI) is used to predict price reversals. MFI is found using multiple calculations involving price, volume and accumulation/distribution data.

The Stochastic Oscillator, or %K, shows how a security's current close compares to its range of high and low prices over a set period of time.

Fibonacci numbers form the foundation for a number of technical indicators, including Fibonacci Retracements, Fibonacci Arcs and Fibonacci Time Zones.

Gann Angles, or Fans, are used to show trend lines of support or resistance. To use a Gann Angle, units of price must equal units of time on a price chart.

Keltner Channels are moving average bands that use a security's average true range (ATR) and exponential moving average (EMA) to determine direction and channel width. The Keltner Channel study plots three separate lines on a chart - a moving average line plotted in between one upper and one lower band, both of which are used to track volatility in a security's average true range.

Used to determine the direction of a trend, a Linear Regression Line runs through a set of prices so that the smallest amount of space exists between all of the price points and the Linear Regression Line.

The Performance indicator shows a security's price movement as a percentage, which can be helpful for showing how much a security's price has increased or decreased over a given amount of time.

The Momentum indicator is a centered oscillator that measures the rate of change of a security's closing prices, similar to the Price Rate-of-Change.

Moving Averages are popular technical analysis tools because they make it easy to spot trends by smoothing out random price fluctuations that are especially prevalent in a volatile market.

The Moving Average Convergence/Divergence (MACD) is a centered oscillator used to predict price trends and their strength.

Analysts use Parabolic SAR, which stands for "Parabolic Stop and Reversal," in trending markets to find entry and exit points into the market.

The pivot points indicator is used to determine potential support and resistance levels, estimates of range for the day and to confirm breakouts. When plotted on a chart, the pivot point indicator shows you the pivot point as well as support and resistance levels below and above the pivot point respectively.

Price Rate-of-Change (Price ROC) measures the percent change in price of a security over a set period of time.

The Relative Strength Index (RSI) compares the average change in price of a security in declining periods to the average change in price in advancing periods.

A moving average is an indicator that shows the average value of a security's price over a period of time.

The Slow Stochastic Oscillator applies a three-day simple moving average to the Fast Stochastic Oscillator in attempt to counterbalance the volatility that may exist in your results when you use the fast stochastic indicator.

Standard deviation is a statistical measure of volatility. This technical analysis tool measures the difference between the actual value (closing price) and the average value (the average closing price) of a security.

Stochastic RSI applies the Stochastic Oscillator to the Relative Strength Index (RSI) to measure changes in RSI.

A Triangular Moving Average is simply a double-smoothed simple moving average. A Triangular Moving Average is an average of data calculated over a period of time where the middle portion of the data has more weight.

Volume is simply the number of shares or contracts that trade over a given period of time, usually a day. The higher the volume, the more active the security.

Volume Moving Average, as the name indicates, is a moving average of the volume rather than the price.

Volume Weighted Average Price (VWAP) is a formula that measures the average price at which a security was traded throughout a given day. It is common for investors to measure the success of their own trading strategies by comparing the price at which they traded a security to the security's volume weighted average price (VWAP).

Bollinger Bands %B is closely related to John Bollinger's original Bollinger Bands indicator. Bollinger Bands %B measures where the most recent close falls within the upper and lower Bollinger Bands, and can expose the extent to which price closes outside the range of the upper and lower bands.

Connors RSI is an indicator that combines several key technical components to create a momentum oscillator that can be used to spot overbought and oversold conditions for a stock or index. There are three components that are utilized in this indicator – price momentum, trend duration and the relative magnitude of price change. The values of these three components are then averaged, and the result is plotted on a scale of 0 to 100. High values indicate a bias toward lower prices over the next several days, while low values indicate a bias toward higher prices over the next several days.

Bollinger Band Width is closely related to John Bollinger's original Bollinger Bands indicator. The Bollinger Band Width indicator is a measure of the difference between the upper band and the lower band. The indicator value decreases as the distance between the two bands narrows and increases as the distance between the two bands widens. Since Bollinger Bands are based on a measure of standard deviation, a decreasing value for the bandwidth relates to decreasing volatility while an increasing value for the bandwidth means volatility is increasing.