Six Arguments Why Trading Platform ReviewIs truly Much Better Than The MetaStock Bars Since Function Explained - 0 views

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  #1 Delbert Castillo on 03 Apr 12

   

  Moving averages are lagging indicators and go with the trend following category. The various types comprise simple, weighted, exponential, changing, and triangular.
  
  CALCULATION
  
  The difference between the various types of moving averages is simply the way in which the averages are estimated. For example, a simple moving typical places equal weighting on each value inside period; weighted and exponential place more emphasis on recent values in the period; a triangular moving average places greater emphasis on the middle section of the time period; and a variable going average adjusts the weighting depending on the volatility in the time period.
  
  Let's consentrate on the simple moving usual, which is formed by simply finding the average price of a security on the set number of periods. This is calculated by adding up the closing prices in the security over the set amount of periods (eg. 15) and dividing this summed answer by may be periods.
  
  With regards to the other types of going averages, their calculations is a little more complex; even so the premise is still the identical. The only difference being where and that the relevant weightings are placed.
  
  SYNTAX Mov(Data Array, Periods, E S T TRI VAR W VOL)
  
  Data Array _ This is the data array that is going to be averaged to form the moving average indicator. It's most often the closing price, but can be some other price data or guage.
  
  Periods _ This specifies how many periods are used to calculate the moving typical.
  
  E Ohydrates T TRI VAR W VOL _ This can be a type of moving average that is usually to be used, shown as follows:
  
  E _ Rapid S _ Simple Capital t _ Time Series
  
  Three _ Triangular Var _ Adjustable W _ Weighted
  
  Vol _ Volume Adjusted
  
  EXAMPLE
  
  The following formula plots a 15 time period simple moving average with the closing price:
  
  Mov(C, 15, S)
  
  Inside above example:
  
  Data Selection = C
  
  Periods = 15
  
  Form = S (Very simple)
  
  APPLICATION
  
  A much more useful application of this example may be:
  
  C > Mov(J, 15, S) together with V > Mov(V, 20, S)
  
  That formula above specifies that closing price must be above a 15 span simple moving average (denoted by 'C > Mov(J, 15, S)') which the present volume has to be greater than the 20 period average in the volume (denoted by 'V> Mov(V, 20, S)').
  
  If you are new to MetaStock formula then this can seem complex or confusing but as soon as you 'get it' you'll discover why it's used by many trading professionals.
  .
  The Bars Since function is reasonably self explanatory; it will allow you to count back the amount of periods since an phrase last occurred. When coded, this function returns may be periods (be that days, weeks, months etc. depending on the periodicity set) since the expression last occurred. Remember that the terms `bars' together with `periods' are interchangeable.
  
  MetaStock Syntax: BarsSince(Expression)
  
  Phrase _ The technical condition that you are going back through the data to find. When found, MetaStock will count the number of bars since it last occurred.
  
  Here's a good example of how you could make use formula.
  
  Six Motives Howcome Metastock GuideAre Much Better In Comparison With The MetaStock Formula For Turtle Trading System, A Number Of Reasons As to why MetastockIs simply Much Better As Compared To The Competitors

   

  <div class="cArrow"> </div><div class="cContentInner">Moving averages are lagging indicators and go with the trend following category. The various types comprise simple, weighted, exponential, changing, and triangular. <br /> <br /> CALCULATION <br /> <br /> The difference between the various types of moving averages is simply the way in which the averages are estimated. For example, a simple moving typical places equal weighting on each value inside period; weighted and exponential place more emphasis on recent values in the period; a triangular moving average places greater emphasis on the middle section of the time period; and a variable going average adjusts the weighting depending on the volatility in the time period. <br /> <br /> Let's consentrate on the simple moving usual, which is formed by simply finding the average price of a security on the set number of periods. This is calculated by adding up the closing prices in the security over the set amount of periods (eg. 15) and dividing this summed answer by may be periods. <br /> <br /> With regards to the other types of going averages, their calculations is a little more complex; even so the premise is still the identical. The only difference being where and that the relevant weightings are placed. <br /> <br /> SYNTAX Mov(Data Array, Periods, E S T TRI VAR W VOL) <br /> <br /> Data Array _ This is the data array that is going to be averaged to form the moving average indicator. It's most often the closing price, but can be some other price data or guage. <br /> <br /> Periods _ This specifies how many periods are used to calculate the moving typical. <br /> <br /> E Ohydrates T TRI VAR W VOL _ This can be a type of moving average that is usually to be used, shown as follows: <br /> <br /> E _ Rapid S _ Simple Capital t _ Time Series <br /> <br /> Three _ Triangular Var _ Adjustable W _ Weighted <br /> <br /> Vol _ Volume Adjusted <br /> <br /> EXAMPLE <br /> <br /> The following formula plots a 15 time period simple moving average with the closing price: <br /> <br /> Mov(C, 15, S) <br /> <br /> Inside above example: <br /> <br /> Data Selection = C <br /> <br /> Periods = 15 <br /> <br /> Form = S (Very simple) <br /> <br /> APPLICATION <br /> <br /> A much more useful application of this example may be: <br /> <br /> C > Mov(J, 15, S) together with V > Mov(V, 20, S) <br /> <br /> That formula above specifies that closing price must be above a 15 span simple moving average (denoted by 'C > Mov(J, 15, S)') which the present volume has to be greater than the 20 period average in the volume (denoted by 'V> Mov(V, 20, S)'). <br /> <br /> If you are new to MetaStock formula then this can seem complex or confusing but as soon as you 'get it' you'll discover why it's used by many trading professionals. <br />.<br />The Bars Since function is reasonably self explanatory; it will allow you to count back the amount of periods since an phrase last occurred. When coded, this function returns may be periods (be that days, weeks, months etc. depending on the periodicity set) since the expression last occurred. Remember that the terms `bars' together with `periods' are interchangeable. <br /> <br /> MetaStock Syntax: BarsSince(Expression) <br /> <br /> Phrase _ The technical condition that you are going back through the data to find. When found, MetaStock will count the number of bars since it last occurred. <br /> <br /> Here's a good example of how you could make use formula. <br /> <br /><a href="http://daydayfree.com/2012/04/03/a-number-of-motives-as-to-why-trading-platform-revieware-much-better-when-compared-with-the-metastock-formula-for-turtle-trading-system/" rel="nofollow">Six Motives Howcome Metastock GuideAre Much Better In Comparison With The MetaStock Formula For Turtle Trading System</a>, <a href="http://kitchenart-ist.com/2012/04/03/eight-reasons-howcome-metastock-critiqueis-simply-much-better-than-the-metastock-how-tos-directional-movement/" rel="nofollow">A Number Of Reasons As to why MetastockIs simply Much Better As Compared To The Competitors</a></div>

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