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by derriz
1659 days ago
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Actually it was the SEC rules I had some exposure to but this was a few years ago and was communicated to us via the compliance dept. What I recall is that because of the difficulty in proving intent, the rules allow very broad interpretation on the part of the SEC. The bar for proving spoofing seemed very low as, for example, the SEC does NOT have to demonstrate that you made a profit from it. > But if the BBO isn’t really moving That might looks suspicious sure, but there may be other factors (not reflected in the book) influencing a change of desire on my part. For example, what if I only want to buy one of GOOG or APPL and optimistically stick in a low-ball bid on each. If one gets filled, I cancel the other. I never intended for BOTH orders to be filled; is this spoofing? Or half-spoofing? This isn't a real strategy but there are lots of strategies which can look like this. I agree the state of the order book drives a lot of the behavior of a strategy (but other factors like current position are also critical) but I've never come across a strategy that responds to volume changes far from the BBO. Not to say they don't exist - it's a secretive industry after all - but the changes at or very near the BBO clearly reflect real intent and are weighted accordingly. Quantity change far away from the action is mostly noise. |
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I think your example would easily satisfy regulators. But you have to have the logging with real time stamps to prove it or you need to be able to reconstruct the internal state by replaying the market data against that version of the code.
Same goes for other pairs trades or other non-book signals. For any automated trading on regulated exchanges, you need to be able to explain to regulators why you chose to send an order. Otherwise you’re basically admitting that you don’t understand / have control over your algorithm, which they will obviously object to.
> I've never come across a strategy that responds to volume changes far from the BBO.
I agree it’s unlikely that a deep quote will provoke an immediate action. But sustained changes in the book will over time get aggregated into moving averages etc and influence behaviors in the long term (for whatever timescale may be appropriate).
> Quantity change far away from the action is mostly noise.
I agree that individual quotes are noisy, and it’s hard to extract signal from the noise. A limit order book by definition is supposed to quantify an aggregated demand to buy/sell, and thus it should be meaningful to aggregate over it to construct a distribution. Spoofing distorts that.
No one gets investigated for spoofing for sending a single order. It’s a persistent pattern that stands out from the noise.