Whether there is enough of a predictable bias there to snag enough low return high probability bets to beat the vig and not shift the markets I have not looked into in any way,but it is a known bias with them.
The real money to be made in prediction markets is being the ones with the actual knowledge which is arguably why they are useful and why for some topics, people find them abhorrent.
If the market isn't resolving soon, the small return might not be worth it.
From their docs, it looks like they charge fees to bet "takers" (as opposed to makers), but exclude the geopolitical and world-events markets where they don't charge fees.
I have to imagine that may be related to some of the blow-back towards prediction markets about profiting on topics like war & their potential for manipulation.
Given it sounds like the bot bets everywhere other than sports, many of those categories would likely have fees in this case.
Or something like that.
Edit: conversely, if the average no costs _more_ than 73 cents, but the 73% of all polymarkets resolve to No, that would imply that an everything-always-happens strategy is profitable (neglecting slippage)
Or just the bid-ask spread; price no at 73.25 and yes at 27.5 and you have a profitable but theoretical mid-market price.
Behavioral economics has already answered the question of whether humans are, on average, perfectly rational economic actors. They are not.
To the contrary, there is substantial evidence indicating a meaningful number of humans will mis-estimate the likelihood of uncommon future events.
The alternative would be that there's a bunch of free money sitting there waiting for someone to decide to pick it up, and nobody is, not even you.
The whole premise of gambling is that they don't
> [...] if prices perfectly reflected available information, there is no profit to gathering information, in which case there would be little reason to trade and markets would eventually collapse.[2]
That's a stupid way to formulate this. Markets wouldn't "collapse". They would get slightly less efficient until equilibrium is restored to where arbitragers can make enough money to keep prices at that level of efficiency.
Meanwhile Two Sigma is hiring alpha quants to be AI research scientists at $250k starting salary + bonuses.
Even if we're just talking about the HFT/sell-side, there clearly exist various anomalous inefficiencies that can be exploited.
Fama's guy doesn't agree either [1]
https://www.ft.com/content/813b3d76-6ef1-427d-a2e0-76540f58a...
You don't believe in the existence of residual return orthogonal to priced cross sectional risk factors (alpha)? E.g. Trends, momentum, volatility clustering, etc. many easily demonstrable inefficiencies. VPIN and order flow toxicity are highly predictive features. Most HFT MM especially in crypto involves hybrid alpha in addition to the (visible) bid-ask spread, which it itself an "inefficiency" to compensate market makers like Jane Street and other successful firms that operate on the assumption that weak form EMH is not accurate.
* https://www.kaggle.com/competitions/jane-street-real-time-ma...
I would have hoped that by now it was obvious that we are talking about a _specific_ weak form of the EMH that takes friction into account?
What is your whole first paragraph about? Who are you trying to convince? Where's the strawman that claimed that the strongest version of EMH that you can imagine is literally true?
There's no single weak form of EMH that could be accurate or inaccurate: there are many versions of the EMH in various strengths and dimensions (that can be accurate or inaccurate).
To be more specific: Jane Street believes (or acts lie they believe) that markets are at least efficient enough that it takes a lot of effort for them to make money. As a very, very weak form: someone doing chart astrology, eh, I mean technical analysis, on S&P 500 stocks won't beat the market. But even much stronger versions than this are defensible.
The real strong forms that say that all information is preciously reflected in profits is a simplifying assumption you can sometimes make to make your life easier. Just like you sometimes neglect friction in physics. But when you want to decide how long your train needs to emergency brake, you kinda need to take friction into account. Similarly, when trying to make money in the market or trying to understand how others like Jane Street make money, the strongest EMH is not a good guide.