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# STS bundle Adaptive Indicator, Elliott Wave and Optimal f

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$299.00

Manufacturer: Murray Ruggiero Jr.

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The adaptive indicator library automatically tunes its indicators to half of the current dominant cycle based on use of the Autocorrelation Periodogram. If we look at the math for most technical indicators, their math assumes that we are using half of the dominant cycle. We use always have them tuned to this they will offer the same physical properties with the data in terms of high and lows. If we don’t adapt the indicators and use a fixed length, then we will see a shift of the indicator in terms of high and lows and price action. We will also see the lag on the indicators shift. Let’s now look at some example of using the adaptive indicator library on a chart.
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This is an example of an adaptive ADX, Hilbert ADX and the standard ADX on Treasury Bonds. You will see that the Adaptive ADX turns much faster than the normal 14 period ADX. The reason why most indicators use a default 14 period is because they assume that there is a 28 day cycle, which had its origins in a lunar 28 day cycle. We can also see how the ADX adaptive indicator drops below trend level when the market moves sideways after a big trend which is not the same with the fixed length one.
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Here is another example using corn. We can see a similar response of the adaptive ADX and the standard one. We can see that the end ends in early July and the adaptive ADX peaks about the same time just as the topping action forms. The standard ADX peaks almost three weeks later!
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Our final example shows RSI, both an adaptive version and the standard one on corn. We can see that the adaptive RSI, which is based on half of the dominant cycle, oscillates between overbought and oversold. The standard one does not reach overbought and oversold levels for almost nine months, while the adaptive version cycles regularly. We also see that the peaks in the adaptive version do still normally lead the standard versions.
The adaptive indicator library works on intra-day data, end of day, weekly, and monthly. It includes full open source code and lets you easily create your own version of any indicators you want from just following our simple template.

**Elliot Wave****This package is a fully disclosed and open-source simple system as well as a library of functions and indicators that enable you to identify Elliott Wave sequences 3, 4, and 5. For reference, a classic Elliott Wave is shown below: Written entirely in EasyLanguage, the functions and basic system contained within this package follow a basic premise:**- Go long when we enter wave 3.
- Go long when we transition from wave 4 to wave 5.
- Re-enter the long position if we go from wave 5 to wave 3.
- Exit when the Elliott Wave Oscillator (also included within this bundle) retraces back to zero.

**Optimal f****Optimal F is a statistical method that helps calculate optimal money management techniques when traders have an "edge" over the market. It was used by Larry Williams during the Robbins' World Cup exploits in 1987. Entirely open-source and fully disclosed, you can take a look at Optimal F to learn more about market conditions. Note that we are not big fans of using Optimal-F in trading. It can cause you to go broke quickly. The theory is predicated on a normally distributed outcome of wins and losses. Trading is well known for its leptokurtic distribution. That means it has long tails. These tails are problematic for Optimal-F computations. However, with that said, it can be used to compare systems because the higher the f values the better the system. You should also look at f over time, large changes in optimal f, means that the underlying statistical distribution of trades are changes which would be a warning sign that market conditions are changing. Therefore, you can think of Optimal F as a basic sanity check for the market conditions to ensure that they are continuing to be stable. This can be very useful when you are running a TradeStation system and you want to have a general indication if the market conditions have changed and you might want to consider turning off the system temporarily, or if the market conditions are the same and you should leave the system running. The code is fully disclosed and open-source. It is a great example of accessing trade statistics and using arrays in TradeStation.**

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