Goon
1.5K posts

Goon
@GryptoGoon
currently making crypto markets efficient || @GoblinCap_
aus Katılım Haziran 2023
755 Takip Edilen3.2K Takipçiler

@Nd172557208 their generation is the equivalent to real estate agents or recruiters.
i do not have to respect their game
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@GryptoGoon @larpcapitalwc bring the coach also. put some AI on top, then that would be a challenge.
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@Larryjamieson_ High quality/desirbale ppor will go up, but mid/low range which are majority held by those degens with 50 property’s who perpetually borrow against the unrealised, non mark to market “gains” will feel the pinch.
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@GryptoGoon At best, this would be temporary. Will existing PPORs experience more capitalisation or less in the future?
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@Larryjamieson_ Wait isn’t this a good thing for property? Terrible for everything else but yea
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@hamhammer27 you won't believe some of the reasons why QLD trains need to be so bespoke and thus expensive
end of platform markers
rest of word: sign on a post
QLD? Dot on platform
Hence the windows must span lower so the driver can see it
Could we have saved money using signs? not in QLD
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Some very funny back of the napkin numbers for your Saturday morning:
Victoria’s XT2 Project: ~$31M per train
Victoria’s HCMTs: ~$32M per train
NSW D Sets: ~$36M per train
WA C series: ~$39M per train
Queensland’s QTMP: $156M per train (??????)
ham 🪴@hamhammer27
The first of 50 new X’Trapolis 2.0 trains ordered to replace the remaining Comeng sets on Melbourne’s rail network by 2030 will enter service on the Upfield Line from tomorrow morning 🚉
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@quant_arb Can’t wait to destroy citadels “strongest” macro factor (75b aum btw) by pushing around poly market books with mid 5figs
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How could you construct an alpha like this?
I'll start with a pre-polymarket example, and we will work from there.
Basically put, we can bet on a macro factor as long as we can measure the macro event quantitatively. Polymarket gives us this measurement.
For a pre-PM example, let's look at elections. We can measure each assets response to polls to estimate their "polling beta", from this we can construct a long/short portfolio to polls.
This gets us our election portfolio. You ended up very long mining, oil, etc if Trump won based on these betas (makes sense, they lobbied for him for a reason).
Now, we can extend this to polymarket, where we estimate the beta based on changes in the odds. You ideally should factor in the convexity (stocks dont respond linearly since these are probabilities).
Then when Polymarket changes, we can trade this long/short portfolio in anticipation under the assumption that the market lags Polymarket.
This is how you would trade deltas under a lead lag model. It would be different if you wanted to take an overall view of probabilities as a factor.
Not necessarily how they do it, just a way you could.
Stat Arb@quant_arb
One of Citadel's strongest alphas is their macro factor which uses Polymarket entirely. Have heard this from 3 people now, one directly who works there.
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@GryptoGoon Betting my life savings on audusd z100:1
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👀👀👀👀👀
Will find a lot of edge down this rabbit hole
Jon Turek@jturek18
FX trading has become more and more dominated by the size and activity of domestic pension funds. For many FX pairs now, this has become a more important (PC1) variable than more traditional factors like rate differentials & terms of trade. Don't see this dynamic changing either.
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