It has been almost 6 months since I last posted, due to working on a house renovation. However, I have still been thinking about/working on stuff, particularly on analysis of open position ratios. I had tried using this data as features for machine learning, but my thinking has evolved somewhat and I have reduced my ambition/expectation for this type of data.
Before I get into this I'd like to mention Trader Dale (I have no affiliation with him) as I have recently been following his volume profile set-ups, a screenshot of one being shown below.
Now here is the same data, but in what I'm calling a PositionBook chart, which uses Oanda's Position Level data downloaded via their API.
The next chart shows the action of the following day and a bit where the price does indeed come back down to the "support" area but doesn't result in an immediate bounce off the support level. The following order level chart perhaps shows why there was no bounce - the relative absence of open orders at that level.
The equivalent PositionBook chart, including a bit more price action,shows that after price fails to bounce off the support level it does recover back into it and then even more long positions are accumulated (the darker blue shade) at the support level during the London open, again allowing one to position oneself for the ensuing rise during the London morning session, followed by another long accumulation during the New York opening session for a following leg up into the London close (the last vertical red line).
This purpose of this post is not to criticise the Trader Dale set-up but rather to highlight the potential value-add of these new PositionBook charts. They seem to hold promise for indicating price direction and I intend to continue investigating/improving them in the coming weeks.
More in due course.
1 comment:
Very interesting info! Would love to see more of this, thank you for sharing.
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