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Overview

The Simple Moving Average is simply an average of values over a
specified period of time.
Interpretation

A Moving Average is most often used to average values for a smoother
representation of the underlying price or indicator.
Parameters

SourcePeriods

Also see Wikipedia - Moving Averages

Overview

The Exponential Moving Average is a type of Moving Average that
applies more weight to recent values by adding a small percentage of
the current value to the previous value.
Interpretation

A Moving Average is most often used to average values for a smoother
representation of the underlying price or indicator.
Parameters

SourcePeriods

Also see Wikipedia - Moving Averages

Overview

Time Series Moving Averages are very different from other types of
Moving Averages.
The calculation is derived from linear regression forecasts instead of actual data values.

For that reason, the Time Series Moving Average can be much greater than or less than the underlying data if the linear regression trend has been increasing or decreasing.

Interpretation

The Time Series Moving Average can be used like any other Moving
Average, to obtain a smoother representation of the underlying data.
Parameters

SourcePeriods Also see Wikipedia - Moving Averages and Wikipedia - Linear Regression

Overview

The Variable Moving Average is similar to an Exponential Moving
Average with the added benefit of being able to adjust to market
volatility. For this reason, the Variable Moving Average may be
useful in sideways moving markets.
Interpretation

The Variable Moving Average can be used like any other Moving
Average, to obtain a smoother representation of the underlying data.
Parameters

SourcePeriods

Also see Wikipedia - Moving Averages

Overview

The Triangular Moving Average is similar to the Simple Moving
Average in that it averages the underlying data over a specified
number of previous values.
However, the Triangular Moving Average differs in that it is calculated and averaged n-times. The actual formula is TMA = (SMA1 + SMA2 + SMA3 + SMA4 + ... SMAn) / n.

Interpretation

The Triangular Moving Average can be used like any other Moving
Average, to obtain a smoother representation of the underlying data.
It is important to note that the Triangular Moving Average is
typically much smoother than other moving averages.
Parameters

SourcePeriods

Also see Wikipedia - Moving Averages

Overview

The Weighted Moving Average is a type of Moving Average that assigns
more weight to the most recent data points. The formula is P0 + αP1
+ α2P2 + α3P3 + ⋅⋅⋅ + αnPn + ⋅⋅⋅
Interpretation

The Weighted Moving Average can be used like any other Moving
Average, to obtain a smoother representation of the underlying data.
It is thought that the Weighted Moving Average provides a better
representation of market volatility than the Simple and Exponential
Moving Averages.
Parameters

SourcePeriods

Also see Wikipedia - Moving Averages

Overview

The Volatility Index DYnamic Average (VIDYA) indicator is a type of
Moving Average derived from the coefficient of determination.
Interpretation

VIDYA can be used like any other Moving Average, to obtain a
smoother representation of the underlying data. Because VIDYA is a
derivative of linear regression, it quickly adapts to volatility.
Parameters

SourcePeriods

R2 Scale - R2 scale to use in the linear regression calculation.

Also see Wikipedia - Moving Averages

Overview

Developed by J. Welles Wilder, Jr. this indicator is similar to the
Exponential Moving Average. It is rather slow to reflect changes in
the underlying data when compared with other Moving Averages. This
indicator is also used as the basis of Wilder's Relative Strength
Index.
Interpretation

Welles Wilder Smoothing can be used like a Moving Average, to obtain
a smoother representation of the underlying data.
Parameters

SourcePeriods

Also see Wikipedia - Moving Averages and Wikipedia - Average Directional Index

Overview

The High Minus Low indicator is quite simply a running index of the
high price minus the low price.
Interpretation

This indicator can be used to obtain a view of price volatility.
Parameters

Source
Overview

The Median Price is simply the running median of the high and low
price data.
Interpretation

The Median Price is often used as an alternative for viewing price
action.
Parameters

None
Also see Wikipedia - Median

Overview

Typical Price (also known as Pivot Points) is a running average of
the high, low and close values.
Interpretation

Typical Price is often used as an alternative for viewing price
action.
Parameters

None
Also see Wikipedia - Typical Price

Overview

Weighted Close (also known as Weighted Pivot Points) is a running
average of the high, low and close values.
This indicator is similar to standard Pivot Points, except more weight is given to the most recent values in the underlying data.

Interpretation

Weighted Close is often used as an alternative for viewing price
action.
Parameters

None
Also see Wikipedia - Pivot Points

Overview

Volume Rate of Change is calculated by dividing the security's
volume over the last n-periods by the total volume within the last
n-periods window.
If the volume from the current day is lower than n-periods ago, volume ROC trends lower. The actual formula is ((Volume - Volume n-periods ago ) / Volume n-periods ago) * 100

Interpretation

The Volume Rate of Change shows whether or not volume is trending up
or down. This indicator is often used to confirm price breakouts.
Parameters

Periods
Also see Wikipedia - Momentum Analysis

Overview

Price Rate of Change is calculated by dividing the security's price
over the last n-periods by the total price within the last n-periods
window.
If the price from the current day is lower than n-periods ago, Price ROC trends lower. The actual formula is ((Close - Close n-periods ago ) / Close n-periods ago) * 100

Interpretation

The Price Rate of Change shows whether or not the security is
trending up or down.
Parameters

Periods
Also see Wikipedia - Momentum Analysis

Overview

Standard deviation is a measure of variability used in statistics
and probability theory. Standard Deviation is used in finance to
show how much volatility exists in the underlying data.
Low values indicate that the security's price is very close to the mean, whereas high values indicate that the price is more volatile than normal.

Interpretation

Major highs and lows often accompany extreme volatility. High values
of standard deviations indicate that the price or indicator is more
volatile than normal.
Parameters

SourcePeriods

Standard Deviations

Moving Average Type

Also see Wikipedia - Standard Deviation

Overview

The Highest High Value is simply a running calculation of the
highest high over the previous n-periods.
Interpretation

Highest High is most commonly used together with Lowest Low to
identify support and resistance levels.
Parameters

Periods
Overview

The Lowest Low Value is simply a running calculation of the lowest
low over the previous n-periods.
Interpretation

Lowest Low is most commonly used together with Highest High to
identify support and resistance levels.
Parameters

Periods
Overview

The coefficient of determination R2 measures the proportion of
variability in the price data. R2 is simply the square of the sample
correlation coefficient between the price and the predicted price.
Interpretation

R2 is most often used to guage market volatility. High values
indicate that the market is more volatile than normal while lower
values indicate that the market is in a steady trend.
Parameters

SourcePeriods

Also see Wikipedia - Linear Regression and Wikipedia - R2

Overview

In statistics, linear regression is an approach to modeling the
relationship between a scalar variable y and one or more explanatory
variables denoted X. Linear regression forecast shows how far prices
deviate from their predicted targets.
Interpretation

Linear regression forecast can be used as a type of adaptive moving
average.
Parameters

SourcePeriods

Also see Wikipedia - Linear Regression

Overview

In statistics, linear regression is an approach to modeling the
relationship between a scalar variable y and one or more explanatory
variables denoted X. The slope is b, and a is the intercept (the
value of y when x = 0)
Interpretation

Linear regression slope is often used as trend following indicator.
Parameters

SourcePeriods

Also see Wikipedia - Linear Regression

Overview

In statistics, linear regression is an approach to modeling the
relationship between a scalar variable y and one or more explanatory
variables denoted X. The y intercept is the y value of the linear
regression line when X equals zero.
Interpretation

Linear regression intercept can be used as a type of adaptive moving
average.
Parameters

SourcePeriods

Also see Wikipedia - Linear Regression

Overview

In statistics, linear regression is an approach to modeling the
relationship between a scalar variable y and one or more explanatory
variables denoted X. Linear regression forecast shows how far prices
deviate from their predicted targets.
Interpretation

Time Series Forecast can be used as a type of adaptive moving
average.
Parameters

SourcePeriods

Also see Wikipedia - Linear Regression

Overview

Bollinger Bands were invented by John Bollinger in the 1980s.
Bollinger Bands measure a high and low trading range using a
calculation based on standard deviation.
Interpretation

The interpretation of Bollinger Bands varies greatly among traders.
The most common method is to buy when the price touches the lower
band and to sell when the price touches the higher band.
Parameters

SourcePeriods

Standard Deviations

Moving Average Type

Also see Wikipedia - Bollinger Bands

Overview

Moving Average Envelopes are based on moving averages calculated
from the underling price, shifted up and down by a fixed percentage.
Interpretation

When prices rise above the upper band or fall below the lower band,
a change in direction may occur when the price penetrates the band
from the opposite direction.
Parameters

SourcePeriods

Shift Percentage

Moving Average Type

Also see Wikipedia - Moving Average

Overview

High Low Bands consist of moving averages calculated from the
underling price, shifted up and down by a fixed percentage of the
median price.
Interpretation

When prices rise above the upper band or fall below the lower band,
a change in direction may occur when the price penetrates the band
from the opposite direction.
Parameters

Periods
Also see Wikipedia - Moving Average

Overview

The chaotic nature of stock market movements explains why it is
sometimes difficult to distinguish hourly charts from monthly charts
if the time scale is not given.
The patterns are similar regardless of the time resolution. Like the chambers of the nautilus, each level is like the one before it, but the size is different.

Fractal Chaos Bands can be used to examine these patterns.

Interpretation

When prices rise above the upper band or fall below the lower band,
a change in direction may occur when the price penetrates the band
from the opposite direction.
Parameters

Periods
Also see Wikipedia - Fractals

Overview

Prime Number Bands calculates the nearest prime number for the high
and low prices.
Interpretation

When prices rise above the upper band or fall below the lower band,
a change in direction may occur when the price penetrates the band
from the opposite direction.
Parameters

None
Also see Wikipedia - Prime Number

Overview

Money Flow Index is an oscillator indicator that ranges from 0 to
100. The calculation is based on a percentage of up and down days
over an n-period sliding window.
An "up" market day is where the close price of a security closes higher than the previous close and a "down" day is where the close price closes lower than the previous close.

Interpretation

When values are over 80, the market is considered overbought.
Conversely, when values are under 20, the market is considered
oversold.
Parameters

Periods
Also see Wikipedia - Money Flow Index

Overview

Trade Volume Index shows whether a security is being accumulated or
distributed over period of time.
Interpretation

When the indicator is rising, the security is said to be
accumulating. Conversely, when the indicator is falling, the
security is said to being distributing. Prices may reverse when the
indicator converges with price.
Parameters

SourceMinimum Tick Value

Also see Wikipedia - Money Flow Index

Overview

The Swing Index calculates the strength of a security by comparing
the open, high, low and close prices with previous values.
Interpretation

The Swing Index is a component of the Accumulation Swing Index,
which provides an alternative view of price action.
Parameters

Limit Move Value
Also see Wikipedia - Swing Trading

Overview

The Accumulative Swing Index is a cumulative total of the Swing
Index, which calculates the strength of a security by comparing the
open, high, low and close prices with previous values.
Interpretation

The Accumulative Swing Index may be analyzed using technical
indicators, line studies, and chart patterns as an alternative view
of price action.
Parameters

Limit Move Value
Also see Wikipedia - Swing Trading

Overview

The Relative Strength Index (RSI) is a technical indicator developed
by J. Welles Wilder, which measures the velocity and magnitude of
price movements within a security.
RSI is computed as the ratio of higher closes to lower closes within an n-period sliding window.

Interpretation

The indicator is most often used with a 14-period setting. Values
greater than 70 may indicate that the market is overbought, while
values less than 30 may indicate that the market is oversold.
Parameters

SourcePeriods

Also see Wikipedia - Relative Strength Index

Overview

The Comparative Relative Strength index is a computation between two
input series. The values of one time series are divided by the
other.
Interpretation

The first time series is said to be "out-performing" the second time
series if the Comparative Relative Strength is trending upwards.
Parameters

Source 1Source 2

Also see Wikipedia - Relative Strength Index

Overview

Price Volume Trend (sometimes referred to as Volume Price Trend) is
a technical indicator that compares price to volume. Price Volume
Trend is closely related to the On Balance Volume index.
Interpretation

The Price Volume Trend generally precedes price movement. The theory
is that well-informed investors are buying when the index rises and
uninformed investors are buying when the index falls.
Parameters

Source
Also see Wikipedia - Price Volume Trend

Overview

The Positive Volume Index measures the price trend for periods where
volume increases from the previous volume.
Interpretation

Positive Volume Index is based on the theory that uninformed
investors buy when volume increases while informed investors buy
when volume decreases.
Parameters

Source
Overview

The Negative Volume Index measures the price trend for periods where
volume decreases from the previous volume.
Interpretation

Negative Volume Index is based on the theory that uninformed
investors buy when volume increases while informed investors buy
when volume decreases.
Parameters

Source
Overview

The On Balance Volume indicator is calculated based on a cumulative
total of volume to show a relationship between price and volume.
Interpretation

On Balance Volume is generally higher when prices are moving with
the dominant trend and for this reason, the technical indicator is
most often used to confirm a trend.
Parameters

Source
Also see Wikipedia - On Balance Volume

Overview

The Performance Index calculates price performance as a normalized
value or percentage over time.
Interpretation

If the index shows 50, then the price of the security has increased
50 percent since the start of the calculation. Conversely, if the
indictor shows -50, then the price of the security has decreased 50
percent since the start of the calculation.
Parameters

Source
Overview

The Mass Index identifies price changes by indexing the narrowing
and widening change between high and low prices.
Interpretation

According to the inventor of the Mass Index, reversals may occur
when a 25-period Mass Index rises above 27 or falls below 26.5.
Parameters

Periods
Overview

The Chaikin Money Flow oscillator is a momentum indicator that
identifies areas of buying and selling in the market by observing
price in relation to volume. This indicator is based upon Chaikin
Accumulation/Distribution, which is based upon the premise that if a
stock closes above its midpoint [(high+low)/2] for the day then
there was accumulation. Conversely, if it closes below its midpoint,
then there was distribution.
Interpretation

A value of 80 is generally considered overbought while a value of 20
oversold.
Parameters

Periods
Also see Wikipedia - Money Flow Index

Overview

The CCI was developed by Donald Lambert. The purpose of this
indicator is to identify cyclical turns in commodities. The
indicator is also frequently used with equities and currencies.
Interpretation

This indicator oscillates between an overbought and oversold zone of
+100 and -100 respectively.
Parameters

Periods
Also see Wikipedia - Commodity Channel Index

Overview

The Stochastic Momentum Index, developed by William Blau, first
appeared in the January 1993 issue of Stocks & Commodities magazine.
This indicator plots the closeness relative to the midpoint of the
recent high/low range.
Interpretation

The Stochastic Momentum Index has two components: %K and %D. %K is
most often displayed as a solid line and %D is often shown as a
dotted line.
The most widely used method for interpreting the Stochastic Momentum Index is to buy when either component rises above 40 or sell when either component falls below 40.

Another method is to buy when %K rises above %D and sell when %K falls below %D.

Parameters

%K Periods%K Smoothing

%K Double Smoothing

%D Periods

Moving Average Type

%D Moving Average Type

Also see Wikipedia - Stochastic Indicator

Overview

Historical volatility is the log-normal standard deviation.
Historical Volatility is based on the book by Don Fishback, "Odds:
The Key to 90% Winners".
Historical volatility outputs an n-period index ranging between 1 and 0. The formula is Stdev(Log(Close / Close Yesterday), 30) * Sqrt(365)

Interpretation

Higher values indicate market volatility while lower values indicate
calmness.
Parameters

SourcePeriods

Standard Deviations

Bar History

Overview

The Chande Momentum Oscillator (CMO) is an advanced momentum
oscillator derived from linear regression.
Interpretation

Increasingly high values of CMO may indicate that prices are
trending strongly upwards. Conversely, lower values may indicate
that prices are trending strongly downwards. CMO is related to MACD
and Price Rate of Change (ROC).
Parameters

SourcePeriods

Overview

The Momentum Oscillator calculates the change in price as a ratio
over a specified length of time.
Interpretation

Increasingly high values may indicate that prices are trending
strongly upwards. Conversely, lower values may indicate that prices
are trending strongly downwards.
Parameters

SourcePeriods

Overview

TRIX is a momentum oscillator that shows the rate of change of an
exponentially averaged closing price.
Interpretation

The most common interpretation of the TRIX oscillator is to buy when
the oscillator rises and sell when the oscillator falls.
Parameters

SourcePeriods

Also see Wikipedia - TRIX

Overview

The Vertical Horizontal Filter (VHF) identifies whether a market is
in a trending or choppy movement phase.
Interpretation

VHF is most commonly used as an indicator of market volatility. It
is also used as a component in other technical indicators.
Parameters

SourcePeriods

Overview

Ultimate Oscillator was developed by Larry Williams. The indicator
is based buying and selling "pressure" represented by when a bar's
closing price falls within the bar's true range.
Interpretation

The most popular interpretation of the Ultimate Oscillator is based
on price and indicator divergence.
Parameters

Cycle 1Cycle 2

Cycle 3

Also see Wikipedia - Ultimate Oscillator

Overview

Williams %R shows overbought and oversold levels by calculating the
current closing price in relation to the high and low prices over
the past n-periods.
Interpretation

The most widely used method for interpreting Williams %R is to buy
when the indicator rises above 80 or sell when the indicator falls
below 20.
Parameters

Periods
Also see Wikipedia - Williams %R

Overview

Williams Accumulation Distribution shows a relationship of price and
volume over time.
Interpretation

The security is said to be accumulating when the indicator is
rising. Conversely, the security is said to be distributing when the
indicator falls. Prices may reverse when the indicator converges
with price.
Parameters

Periods
Also see Wikipedia - Accumulation Distribution

Overview

The Volume Oscillator shows a spread of two different moving
averages of volume over a specified period of time.
Interpretation

The Volume Oscillator offers a clear view of whether or not volume
is increasing or decreasing.
Parameters

Short Term PeriodsLong Term Periods

Points or Percent

Overview

The Chaikin Volatility Oscillator is a moving average derivative of
the Accumulation/Distribution index.
Interpretation

The Chaikin Volatility Oscillator adjusts with respect to
volatility, independent of long-term price action.
Parameters

PeriodsRate of Change

Moving Average Type

Overview

The Stochastic Oscillator is a popular indicator that shows where a
security's price has closed in proportion to its closing price range
over a specified period of time.
Interpretation

The Stochastic Oscillator has two components: %K and %D. %K is most
often displayed as a solid line and %D is often shown as a dotted
line.
The most widely used method for interpreting the Stochastic Oscillator is to buy when either component rises above 80 or sell when either component falls below 20.

Another way to interpret the Stochastic Oscillator is to buy when %K rises above %D, and conversely, sell when %K falls below %D.

Parameters

%K Periods%K Smoothing Periods

%D Periods

Moving Average Type

Also see Wikipedia - Stochastic Oscillator

Overview

The Price Oscillator displays a spread between two moving averages.
Interpretation

Buying usually occurs when the oscillator rises and selling usually
occurs when the oscillator falls.
Parameters

SourceCycle 1

Cycle 2

Overview

The MACD is a moving average oscillator that shows potential
overbought/oversold phases of market fluctuation. The calculation is
based on two different moving averages of the price data.
Interpretation

Buy and sell signals are generated whenever MACD crosses a signal
line, the zero mark line or when the MACD line diverges from price.
Parameters

Signal PeriodsShort Cycle

Long Cycle

Moving Average Type

Also see Wikipedia - MACD

Overview

The MACD is a moving average oscillator that shows potential
overbought/oversold phases of market fluctuation. The calculation is
based on two different moving averages of the price data.
Interpretation

Buy and sell signals are generated whenever MACD crosses a signal
line, the zero mark line or when the MACD line diverges from price.
Parameters

Signal PeriodsShort Cycle

Long Cycle

Moving Average Type

Also see Wikipedia - MACD

Overview

The Ease of Movement oscillator shows a unique relationship between
price change and volume.
Interpretation

The Ease of Movement oscillator rises when prices are trending
upwards under low volume and falls when prices are trending
downwards under low volume.
Parameters

PeriodsMoving Average Type

Also see Wikipedia - Ease Of Movment

Overview

The Detrened Price Oscillator is used when it is desirable to remove
long-term trends or outliers from price data.
Interpretation

This indicator is often used to supplement a standard price chart.
Parameters

SourcePeriods

Moving Average Type

Also see Wikipedia - Detrended Price Oscillator

Overview

The Parabolic SAR was developed by Welles Wilder. This indicator is
always in the market (whenever a position is closed, an opposing
position is taken).
Interpretation

The Parabolic SAR indicator is most often used to set trailing price
stops. A stop and reversal (SAR) occurs when the price penetrates a
Parabolic SAR level.
Parameters

Min AFMax AF

Also see Wikipedia - ParabolicSAR

Overview

The Welles Wilder Directional Movement System is composed of ADX,
DI+ and DI-. The indicators guage how much the market is trending,
either up or down.
The higher the ADX line, the more the market is trending and the more suitable it becomes for a trend-following system.

DI+ represents a measure of uptrend strength and DI- represents a measure of downtrend strength.

Detailed information about this indicator can be found in Welles Wilder's book, "New Concepts in Technical Trading Systems".

Interpretation

A buy signal is given when DI+ crosses over DI-, a sell signal is
given when DI- crosses over DI+.
Parameters

Periods
Also see Wikipedia - Directional Movement System

Overview

True Range is an indicator developed by Welles Wilder, which
measures market volatility.
Interpretation

High True Range values may signal market bottoms while low True
Range values may signal neutral markets.
Parameters

Periods
Also see Wikipedia - Average True Range

Overview

Average True Range is an indicator developed by Welles Wilder, which
measures market volatility.
Interpretation

High Average True Range values may signal market bottoms while low
Average True Range values may signal neutral markets.
Parameters

Periods
Also see Wikipedia - Average True Range

Overview

The Aroon indicator is used to help identify if a stock is trending
or not.
Interpretation

Trends are determined by extreme values (above 80) of both lines (Aroon
up and Aroon down), whereas unstable prices are determined when both
lines are low (less than 20).
Parameters

Periods
Overview

The Aroon indicator is used to help identify if a stock is trending
or not.
Interpretation

Trends are determined by extreme values (above 80) of both lines
(Aroon up and Aroon down), whereas unstable prices are determined
when both lines are low (less than 20).
Parameters

Periods
Overview

The Rainbow Oscillator is based upon moving average of multiple time
frames.
Interpretation

The trend may reverse when values rise above 80 or fall below 20.
Parameters

SourceLevels

Moving Average Type

Overview

The chaotic nature of stock market movements explains why it is
sometimes difficult to distinguish hourly charts from monthly charts
if the time scale is not given.
The patterns are similar regardless of the time resolution. Like the chambers of the nautilus, each level is like the one before it, but the size is different.

The Fractal Chaos Oscillator can be used to examine these patterns.

Interpretation

Continuous zero values often indicate that the trend is about to
reverse quickly and sharply.
Parameters

Periods
Overview

This indicator finds the nearest prime number from either the top or
bottom of the series, and plots the difference between that prime
number and the price data.
Interpretation

This indicator can be used to spot market turning points. When the
oscillator remains at the same high point for two consecutive
periods in the positive range, consider selling. Conversely, when
the oscillator remains at a low point for two consecutive periods in
the negative range, consider buying.
Parameters

None
Also see Wikipedia - Prime Number

Overview

The Elder Ray indicator, developed in 1989 by Dr. Elder, measures
bullish and bearish "power" by comparing the daily high and low to a
moving average.
Interpretation

A buy signal occurs when Bear Power is negative but moving upward
and Bull Power has recently increased. Conversely, a sell signal
occurs when Bull Power is positive but moving downward and Bear
Power has recently decreased.
Parameters

PeriodsMoving Average Type

Overview

The Elder Force Index is calculated by the change in price from the
previous to the current day, multiplied by volume.
Interpretation

Buy signals are generated when the two-day EMA of the Elder Force
Index is negative and sell signals are generated when it is
positive.
Parameters

None
Overview

The Elder Thermometer indicator is described in Dr. Alexander
Elder's book "Come into my trading room" on page 162.
This indicator measures the "temperature" of the market, indicated by greater or lesser intraday ranges.

Interpretation

"Cold" and "Hot" Elder Thermometer zones tend to precede major
moves.
Parameters

None
Overview

Ehler's Fisher Transform is an oscillator that is based on the
principle that security prices do not have a Gaussian probability
distribution function.
The Fisher Transform makes the probability distribution function nearly Gaussian, creating turning points that are sharply peaked for easier identification of trend changes.

Interpretation

A trigger line is typically plotted with Ehler's Fisher Transform.
Buy and sell signals occur when the trigger line crosses over or
under the indicator.
Parameters

Periods
Overview

Keltner Channel is a volatility based moving average envelope that
shifts a moving average of the True Range indicator by a certain
percentage upwards and downwards.
Interpretation

Prices may reverse sharply after exiting and re-entering either the
top or bottom band.
Parameters

PeriodsShift Percentage

Moving Average Type

Overview

The Market Facilitation Index, developed by Dr. Bill Williams, shows
prices changes as they relate to volume. The formula is (High - Low)
/ Volume.
Interpretation

When both the Market Facilitation Index and Volume increase at the
same time, it can be said that market participants are becoming more
interested.
Likewise, when both the Market Facilitation Index and Volume decrease, it can be said that market participants are losing interest.

Parameters

None
Also see Wikipedia - Market Facilitation Index

Overview

The Schaff Trend Cycle, by Doug Schaff, combines both Slow
Stochastics and the Moving Average Convergence/Divergence (MACD).
Interpretation

Schaff Trend Cycle is interpreted similar to MACD. Buy and sell
signals are generated whenever the indicator crosses a signal line,
the zero mark line or when the indicator diverges from price.
Parameters

PeriodsShort Cycle

Long Cycle

Moving Average Type

Also see Wikipedia - MACD

Overview

QStick was developed by Tushar Chande as a quantifier for
candlestick charts. QStick shows the relationship of the open and
close prices.
Interpretation

Positive values indicate that the majority of candlesticks have been
white during the previous n-periods, while negative values indicate
that the majority of candlesticks have been black.
Parameters

PeriodsMoving Average Type

Also see Wikipedia - Candlestick Chart

Overview

Stoller Average Range Channels (STARC) is a volatility based channel
system that shifts a moving average of the True Range indicator by a
certain percentage upwards and downwards.
Interpretation

Prices may reverse sharply after exiting and re-entering either the
top or bottom band.
Parameters

PeriodsShift Percentage

Moving Average Type

Overview

The Center Of Gravity oscillator, by John Ehlers, shows a comparison
of recent prices versus older prices within a sliding window.
The prices can be thought of as being placed on two ends of a beam that is supported in the center. The oscillator represents the balance point or center of gravity on the beam.

Interpretation

The Center of Gravity oscillator decreases when prices rise and
increases when prices fall.
Parameters

Periods
Overview

The Coppock Curve, developed by Edwin Coppock and published in
Barron's Magazine in 1962, is based on a 14-month and 11-month rate
of change, smoothed by a 10-period weighted moving average.
Interpretation

The Coppock Curve generates buy signals when the value falls below
zero and turns upwards from a low point.
Parameters

Source
Also see Wikipedia - Coppock Curve

Overview

The Chande Forecast Oscillator calculates the deviation between the
current bar's price and an n-bar linear regression forecast value.
Interpretation

The market is said to be trending when the Chande Forecast
Oscillator remains either above or below the zero line for an
extended time.
Parameters

SourcePeriods

Overview

The Gopalakrishnan Range Index (GAPO) by Jayanthi Gopalakrishnan
quantifies the variability of price data based on the log of the
price range over an n-bar period.
Interpretation

GAPO helps to identify erratic and smooth markets.
Parameters

Periods
Also see Traders.com - Gopalakrishnan Range Index

Overview

The Intraday Momentum Index by Tushar Chande is very similar to the
RSI except it is based on the relationship between a single bar's
open and close prices instead of referencing the previous bar's
prices.
Interpretation

Values over 70 indicate an overbought condition while values below
30 indicator an oversold condition.
Parameters

None
Also see Wikipedia - Relative Strength Index

Overview

The Klinger Volume Oscillator by Stephen J. Klinger is based on
cumulative volume. The security's volume is added or subtracted
based on the direction of the Typical Price.
Interpretation

It is considered bullish when KVO rises above zero if prices are
falling. Likewise, it is considered bearish when KVO falls below
zero if prices are rising.
Parameters

Signal PeriodsLong Cycle

Short Cycle

Moving Average Type

Overview

The Pretty Good Oscillator by Mark Johnson measures the distance of
the current bar's close price from a moving average, divided by the
True Range.
Interpretation

It is considered bullish when PGO rises above 3 and it is considered
bearish when PGO falls below -3.
Parameters

Periods
Overview

RAVI (Rapid Adaptive Variance Indicator) by Tushar Chande, measures
trend intensity. The formula is based on VIDYA (Volatility Based
Index Dynamic Average), also by Tushar Chande.
Interpretation

Increasing values of RAVI indicate that a trend is forming, whereas
decreasing values of RAVI indicate that the current trend is ending.
Parameters

SourceShort Cycle

Long Cycle

Overview

Random Walk Index by E. Michael Poulos is shows the variability of
price differs from what would be expected by a random walk.
Interpretation

High values suggest that the price is trending while low values
indicate that the price is not trending.
Parameters

Periods
Also see Wikipedia - Random Walk

Overview

Twiggs Money Flow by Colin Twiggs is based on the Chaikin Money Flow
index. The indicator warns of breakouts and provides trend
confirmations.
The indicator is based on the observation that bullish markets are normally signaled by increased volume along with bar closes above the median of each bar.

Likewise, bearish markets are normally signaled by increased volume along with bar closes below the median of each bar.

Interpretation

Twiggs Money Flow signals accumulation when above zero and
distribution when below zero.
Parameters

Periods
Also see Author - Twiggs Money Flow

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