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SuperTrend Polyfactor Oscillator

Oct 26, 2023

Static chart image
Oscillators
Trailing-Stop
Works on the Following Platforms
tradingviewSymbolTradingView
For free use on the TradingView platform
ninjatraderNinjaTrader
For free use on the NinjaTrader platform
metatrader4MetaTrader 4
For free use on the MetaTrader 4 platform
metatrader5MetaTrader 5
For free use on the MetaTrader 5 platform
thinkorswimThinkorswim
For free use on the Thinkorswim platform

The SuperTrend Polyfactor Oscillator is an oscillator based on the popular SuperTrend indicator that aims to highlight information returned by a collection of SuperTrends with varying factors inputs.

A general consensus is calculated from all this information, returning an indication of the current market sentiment.

USAGE

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Multiple elements are highlighted by the proposed oscillator. A mesh of bars is constructed from the difference between the price and a total of 20 SuperTrends with varying factors. Brighter colors of the mesh indicate a higher amount of aligned SuperTrends indications.

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The factor input of the SuperTrends is determined by the user from the Starting Factor setting which determines the factor of the shorter-term SuperTrend, and the Increment settings which control the step between each factor inputs.

Using higher values for these settings will return information for longer-term term price variations.

Consensus

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From the collection of SuperTrends, a consensus is obtained. It is calculated as the median of all the differences between the price and the collection of SuperTrends.

This consensus is highlighted in the script by a blue and orange line, with a blue color indicating an overall bullish market, and orange indicating a bearish market.

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Both elements can be used together to highlight retracements within a trend. If we see various red bars while the general consensus is bullish, we can interpret it as the presence of a retracement.

StDev Area

The indicator includes an area constructed from the standard deviation of all the differences between the price and the collection of SuperTrends.

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This area can be useful to see if the market is overall trending or ranging, with a consensus over the area indicative of a trending market.

Normalization

Users can decide to normalize the results and constrain them within a specific range, this can allow obtaining a lower degree of variations of the indicator outputs. Two methods are proposed "Absolute Sum", and "Max-Min".

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The "Absolute Sum" method will divide any output returned by the indicator by the absolute sum of all the differences between the price and SuperTrends. This will constrain all the indicator elements in a (1, -1) scale.

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The "Max-Min" method will apply min-max normalization to the indicator outputs (with the exception of the stdev area). This will constrain all the indicator elements in a (0, 1) scale.

SETTINGS

  • Length: ATR Length of all calculated SuperTrends.
  • Starting Factor: Factor input of the shorter-term SuperTrend.
  • Increment: Step value between all SuperTrends factors.
  • Normalize: Normalization method used to rescale the indicator output.

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Hypothetical or Simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, including, but not limited to, lack of liquidity. Simulated trading programs in general are designed with the benefit of hindsight, and are based on historical information. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.

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