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3 responses to “What Really Happened When Gold Crashed, Monday June 26?”

  1. Keith, with all due respect, I am not convinced that the method you used to analyse this move is correct:
    – There is no single large order visible – but that doesn’t mean there wasn’t one placed on the sell side. What the exchange would do in such case is fill the partial order, bid by bid from the buy side. So you would see e.g. 1,000 buy orders all taken out by 1 big sell order, and it would look like 1,000 small trades – correct?
    – You will of course argue that this would not be possible since there are upticks visible in the price feed. True…except that the legend indicates VWAP price. If the exchange is flooded with a single huge sell order, then the VWAP will be exactly the buy order queue size…which can be any size for any order, especially when one moves far away from the “stable” price range. So it is very possible to have skewed volume on one side that would make the average price appear to be higher than the median price. Can you confirm exactly what is the formula used for this particular VVWAP, and is there a mathematical possibility of skew to the upside, e.g. if volumes are random and volatile?

    1. Augustin,

      We are working from the raw intraday data feed which has each trade and price. At this level of detail you can see individual ticks up and down. For example, here are the six trades before and after the largest trade posted during the period 9:01:00 to 9:01:30

      Time Price Volume
      9:01:10.514 $1240.80 8
      9:01:10.514 $1240.10 9
      9:01:10.514 $1240.60 12
      9:01:10.514 $1240.20 33
      9:01:10.514 $1240.00 84
      9:01:10.514 $1240.10 104
      9:01:10.514 $1240.00 296
      9:01:10.515 $1241.10 1
      9:01:10.515 $1241.20 1
      9:01:10.515 $1241.20 1
      9:01:10.515 $1241.20 1
      9:01:10.515 $1241.20 1
      9:01:10.515 $1241.30 1

      To simplify the chart as there are over 10,000 trades in the three minutes after 9am, I calculated a VWAP for each millisecond by summing the (volume x price) and volume and dividing them by each other – not very complicated formula.

  2. Thanks Bron. Quite convincing explanation, although at such speeds and far away from “equilibrium” price, one has to be really careful before jumping to conclusions. I suspect that internet latency and algorithm latency would start to become measurable with such instantaneous volume peak, so far away from “equilibrium”.
    May I suggest that MM have a look at Nanex, who occasionally produce similar, very detailed studies at individual feed and exchange level, to analyse where the orders come from? (you can see their work by searching on Zero Hedge website).

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