The Pivot Detector Oscillator Backtest The Pivot Detector Oscillator, by Giorgos E. Siligardos
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PFE (Polarized Fractal Efficiency) Backtest The Polarized Fractal Efficiency (PFE) indicator measures the efficiency
of price movements by drawing on concepts from fractal geometry and chaos
theory. The more linear and efficient the price movement, the shorter the
distance the prices must travel between two points and thus the more efficient
the price movement.
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Percentage Volume Oscillator (PVO) Backtest The Percentage Volume Oscillator (PVO) is a momentum oscillator for volume.
PVO measures the difference between two volume-based moving averages as a
percentage of the larger moving average. As with MACD and the Percentage Price
Oscillator (PPO), it is shown with a signal line, a histogram and a centerline.
PVO is positive when the shorter volume EMA is above the longer volume EMA and
negative when the shorter volume EMA is below. This indicator can be used to define
the ups and downs for volume, which can then be use to confirm or refute other signals.
Typically, a breakout or support break is validated when PVO is rising or positive.
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MASS Index Backtest The Mass Index was designed to identify trend reversals by measuring
the narrowing and widening of the range between the high and low prices.
As this range widens, the Mass Index increases; as the range narrows
the Mass Index decreases.
The Mass Index was developed by Donald Dorsey.
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Laguerre-based RSI Backtest This is RSI indicator which is more sesitive to price changes.
It is based upon a modern math tool - Laguerre transform filter.
With help of Laguerre filter one becomes able to create superior
indicators using very short data lengths as well. The use of shorter
data lengths means you can make the indicators more responsive to
changes in the price.
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Klinger Volume Oscillator (KVO) Backtest The Klinger Oscillator (KO) was developed by Stephen J. Klinger. Learning
from prior research on volume by such well-known technicians as Joseph Granville,
Larry Williams, and Marc Chaikin, Mr. Klinger set out to develop a volume-based
indicator to help in both short- and long-term analysis.
The KO was developed with two seemingly opposite goals in mind: to be sensitive
enough to signal short-term tops and bottoms, yet accurate enough to reflect the
long-term flow of money into and out of a security.
The KO is based on the following tenets:
Price range (i.e. High - Low) is a measure of movement and volume is the force behind
the movement. The sum of High + Low + Close defines a trend. Accumulation occurs when
today's sum is greater than the previous day's. Conversely, distribution occurs when
today's sum is less than the previous day's. When the sums are equal, the existing trend
is maintained.
Volume produces continuous intra-day changes in price reflecting buying and selling pressure.
The KO quantifies the difference between the number of shares being accumulated and distributed
each day as "volume force". A strong, rising volume force should accompany an uptrend and then
gradually contract over time during the latter stages of the uptrend and the early stages of
the following downtrend. This should be followed by a rising volume force reflecting some
accumulation before a bottom develops.
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Volatility Finite Volume Elements Backtest This version has an important enhancement to the previous one that`s
especially useful with intraday minute charts.
Due to the volatility had not been taken into account to avoid the extra
complication in the formula, the previous formula has some drawbacks:
The main drawback is that the constant cutoff coefficient will overestimate
price changes in minute charts and underestimate corresponding changes in
weekly or monthly charts.
And now the indicator uses adaptive cutoff coefficient which will adjust to
all time frames automatically.
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Gann Trend Oscillator Backtest The Gann Swing Oscillator has been adapted from Robert Krausz's book,
"A W.D. Gann Treasure Discovered". The Gann Swing Oscillator helps
define market swings.
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Arms Index (TRIN) Backtest The Arms index (TRIN) is a technical analysis indicator that compares advancing
and declining stock issues and trading volume as an indicator of overall market
sentiment. It measures the relationship between market supply and demand and is
used as a predictor of future price movements in the market, primarily on an
intraday basis. The Arms index seeks to provide a more dynamic explanation of
overall movements in the composite value of stock exchanges, such as the NYSE or
NASDAQ, by analyzing the strength and breadth of these movements.
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Advance-Decline Volume Percent Backtest Advance-Decline Volume Percent (AD Volume Percent) is a breadth indicator
that measures the percentage of Net Advancing Volume for a particular group
of stocks, such as an index or ETF. Net Advancing Volume equals the volume
of advances less the volume of declines. AD Volume Percent equals Net Advancing
Volume divided by total volume for the group. AD Volume Percent fluctuates
between -100% and +100%.
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Accelerator Oscillator (AC) Backtest The Accelerator Oscillator has been developed by Bill Williams
as the development of the Awesome Oscillator. It represents the
difference between the Awesome Oscillator and the 5-period moving
average, and as such it shows the speed of change of the Awesome
Oscillator, which can be useful to find trend reversals before the
Awesome Oscillator does.
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Absolute Price Oscillator (APO) Backtest The Absolute Price Oscillator displays the difference between two exponential
moving averages of a security's price and is expressed as an absolute value.
How this indicator works
APO crossing above zero is considered bullish, while crossing below zero is bearish.
A positive indicator value indicates an upward movement, while negative readings
signal a downward trend.
Divergences form when a new high or low in price is not confirmed by the Absolute Price
Oscillator (APO). A bullish divergence forms when price make a lower low, but the APO
forms a higher low. This indicates less downward momentum that could foreshadow a bullish
reversal. A bearish divergence forms when price makes a higher high, but the APO forms a
lower high. This shows less upward momentum that could foreshadow a bearish reversal.
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Dynamo Strategy Backtest In July 1996 Futures magazine, E. Marshall Wall introduces the
Dynamic Momentum Oscillator (Dynamo). Please refer to this article
for interpretation.
The Dynamo oscillator is a normalizing function which adjusts the
values of a standard oscillator for trendiness by taking the difference
between the value of the oscillator and a moving average of the oscillator
and then subtracting that value from the oscillator midpoint.
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DSS Bressert (Double Smoothed Stochastic) Strategy Backtest Double Smoothed Stochastics (DSS) is designed by William Blaw.
It attempts to combine moving average methods with oscillator principles.
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Detrended Price Oscillator Strategy Backtest The Detrend Price Osc indicator is similar to a moving average,
in that it filters out trends in prices to more easily identify
cycles. The indicator is an attempt to define cycles in a trend
by drawing a moving average as a horizontal straight line and
placing prices along the line according to their relation to a
moving average. It provides a means of identifying underlying
cycles not apparent when the moving average is viewed within a
price chart. Cycles of a longer duration than the Length (number
of bars used to calculate the Detrend Price Osc) are effectively
filtered or removed by the oscillator.
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D_Three Ten Osc Strategy Backtest This indicator allows the user to plot a daily 3-10 Oscillator on a Tick Bar Chart or any intraday interval.
Walter Bressert's 3-10 Oscillator is a detrending oscillator derived
from subtracting a 10 day moving average from a 3 day moving average.
The second plot is an 16 day simple moving average of the 3-10 Oscillator.
The 16 period moving average is the slow line and the 3/10 oscillator is
the fast line.
For more information on the 3-10 Oscillator see Walter Bressert's book
"The Power of Oscillator/Cycle Combinations"
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D_ELI (Ehlers Leading Indicator) Strategy Backtest This Indicator plots a single
Daily DSP (Detrended Synthetic Price) and a Daily ELI (Ehlers Leading
Indicator) using intraday data.
Detrended Synthetic Price is a function that is in phase with the dominant
cycle of real price data. This one is computed by subtracting a 3 pole Butterworth
filter from a 2 Pole Butterworth filter. Ehlers Leading Indicator gives an advanced
indication of a cyclic turning point. It is computed by subtracting the simple
moving average of the detrended synthetic price from the detrended synthetic price.
Buy and Sell signals arise when the ELI indicator crosses over or under the detrended
synthetic price.
See "MESA and Trading Market Cycles" by John Ehlers pages 64 - 70.
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D_DSP (Detrended Synthetic Price) Strategy 2 Backtest Detrended Synthetic Price is a function that is in phase with the
dominant cycle of real price data. This DSP is computed by subtracting
a half-cycle exponential moving average (EMA) from the quarter cycle
exponential moving average.
See "MESA and Trading Market Cycles" by John Ehlers pages 64 - 70.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
D_DSP (Detrended Synthetic Price) Strategy Backtest Detrended Synthetic Price is a function that is in phase with the
dominant cycle of real price data. This DSP is computed by subtracting
a half-cycle exponential moving average (EMA) from the quarter cycle
exponential moving average.
See "MESA and Trading Market Cycles" by John Ehlers pages 64 - 70.
Confluence Strategy Backtest This is modified version of Dale Legan's "Confluence" indicator written by Gary Fritz.
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Here is Gary`s commentary:
Since the Confluence indicator returned several "states" (bull, bear, grey, and zero),
he modified the return value a bit:
-9 to -1 = Bearish
-0.9 to 0.9 = "grey" (and zero)
1 to 9 = Bullish
The "grey" range corresponds to the "grey" values plotted by Dale's indicator, but
they're divided by 10.
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Comparative Relative Strength Strategy Backtest Comparative Relative Strength Strategy for ES
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Combining Exponential And Volume Weighting Backtest The related article is copyrighted material from Stocks & Commodities 2009 Oct
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Combining DMI And Moving Average For A EUR/USD Backtest The related article is copyrighted material from Stocks & Commodities Aug 2009
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