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Testing, Testing, Testing

by SITM | Aug 28, 2024 | General Newsletter, Gus Hingeley, No_index

Testing, Testing, Testing

 

The original trading method David Bowden teaches us in the Smarter Starter Pack is a mechanical ABC trading system. In the Number One Trading Plan, there are advanced filters designed to increase the probability of making a profitable trade.

A great question to ask yourself is, what is the probability of success of any techniques that you use?  

I wanted to know for the SPI200 how many weekly swing ranges get to 200% of the previous swing range in that direction, in one move. It’s simple to test as the guidelines are clear.

Since 1 January 2014, there have been:

  • 225 completed individual weekly swings.
  • 27 swings (or 12%) hit the 200% milestone of the previous range in one swing.
  • Of the 27 swings, 18 were an Overbalance in Price swing (or pull backs against the main trend), and 9 were continuation swings.

An example of what I define as a Continuation swing and Overbalance in Price swing is shown below in Chart 1.

Chart 1 – Defined Swing Types

This means that only 4% of continuation swings get to 200% in one swing range.

I was surprised, I thought this number would be higher or maybe I just hoped it would be higher! But this is extremely valuable information to know how far a move will go before the next pullback and whether you want to sit through that if holding a position.

Let’s look at some other stats. Of the continuation swing ranges only three made it to 225% and only two made it to 250% and zero made it to 300% or further.  That means in nearly 11 years:

  • 1.3% of weekly swings make it to 225% in one hit and,
  • 0.8% of weekly swings make it to 250% in one hit.

These numbers seem so low it feels a bit deflating! Although, what about the flip side??

Continuation swing results:

If the swing hits 200% of the previous weekly swing range in one move, there is 44% probability the market will give you a weekly turn.

If the swing hits 225% of the previous weekly swing range in one move, there is a 78% probability the market will give you a weekly turn. Now we’re talking good probabilities in a trader’s favour!

If the swing hits 250% of the previous weekly swing range in one move there’s nearly a 100% probability (according to the stats over the past 10 years) that the market will give you a weekly turn.

Overbalance in Price swing results:

If an Overbalance in Price hits 250% in one move there is a 61% chance of a weekly turn. If the Overbalance in Price hits 300% in one move there is a 78% chance of a weekly turn!

I know this is really numbers heavy, but these kinds of statistics mean you learn about your market, and it helps reduce the emotion.

In previous testing I also found that:

On a three-day swing chart, 83% of Overbalance in Price swings, without an overbalance in Time, ended up being a pull back and DID NOT result in a change in trend.

Let’s have a quick look at an example of where this might help from a setup perspective.

12 November 2018, the SPI200 showed a weekly pull back or Overbalance in Price at 250% of the previous swing range in that direction. I now know from the above stats that there is a 61% probability that 250% is the end of the move.

Chart 2 – SPI200 Setup

The weekly and three-day swing is the same here and as you can see it was an Overbalance in Price but not an Overbalance in Time! I also know from the above statistic that means there is a 83% chance that this move is just a pullback against the main trend.

Now adding in some Price Forecasting and form reading, there is a false break double top on 50% of the weekly range.

  • 50% weekly swing range = 5,905
  • 50% of the daily First Range Out = 5,915
  • 250% previous swing range = 5,930.5
  • 2 day swing top = 5935
  • False break double top by 11 points
  • Contracting 3rd daily swing range into 5,946
  • Old low = 5,946

In summary, we have a Price Forecasting setup backed by high probability swing chart analysis that resulted in a good tradeable move. However, you would need to do your own testing on your own market to help formulate your own probabilities.

Happy Trading,

Gus Hingeley

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