I fw 30 onna warriors ✧@pookiesparadise✧@ihysavage✧
dm for promo
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GTA VI hasn’t even been released yet, and billions are already being discussed around it.
Some are expecting record-breaking sales, while others are debating whether the launch could become the biggest in gaming industry history. Predictions on GTA VI are already live on 1win Markets, and people are actively choosing their outcomes.
Judging by the level of hype, the main question is no longer whether the release will be huge — but just how huge it will be.
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calling a prediction market a casino is insane. they don’t bet against their users like casinos do.
“But a prediction market is not simply a casino. It produces a public good: a real-time projection, accessible to anyone, of the likelihood of a particular event occurring.”
washingtonpost.com/opinions/…
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Kalshi allowing users to use margins would be huge for the platform and is a positive for a wider audience
We just submitted a regulatory filing to introduce margin on a subset of long-dated prediction markets. This will not apply to sports, culture, and a few other categories.
We are very excited to be taking what we believe is our most important step toward institutional adoption so far.
Capital efficiency has been the biggest bottleneck for institutions, and margin is the single most requested feature. Fully collateralizing long-dated contracts ties up substantial capital for months or years, making participation impractical for many institutions. It is very difficult for a large institutional market to develop without margin.
Margin addresses that problem by reducing capital requirements, subject to strict risk standards.
Some important characteristics of our proposal:
• Margin applies only to a narrow set of categories, excluding sports and culture.
• It is geared toward institutions and subject to strict eligibility requirements.
• The risk methodology is modeled on approaches used by established clearinghouses and tested over decades. It incorporates conservative safeguards around volatility, liquidity, concentration, and event risks, as well as measures to limit sharp increases in margin requirements during market stress.
The goal is a better trading experience for users. Greater capital efficiency enables more institutional participation, bringing deeper liquidity and better pricing. That makes our markets more attractive to more traders, whose participation further strengthens liquidity and improves the experience for everyone.
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Sosa✧. retweeted
- Be @Atlantislq
- Trash Polymarket when you felt they rugged you on the Zelensky suit market
- Become a paid Poly affiliate and delete the anti-Poly tweets and shill daily
- Start ZSCDAO with Polymarket's money and scam everyone involved
- Get paid to spread FUD about Kalshi
Kalshi is already apologizing over the wash trading drama and public insults from its own team
Recently, @beniduboss dropped a series of posts tearing apart Kalshi Perps volume. Instead of actually addressing his arguments, the Kalshi team turned it into a public shitshow and started making it personal
Today, after deleting some of his tweets, @icobeast apologized for making it personal
But don’t worry, we got another all timer:
“our incentives pay for liquidity, not wash trading”
So apparently the problem wasn’t the trading patterns. The problem was that Kalshi just didn’t explain them well enough
Wash trading? Nah. Liquidity incentives
The legendary quotes just keep writing themselves
Cope. Seethe. Rage.
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Sosa✧. retweeted
i thought more about it. beni, sorry for being a dick. i shouldn't have attacked you personally. it was cocky and unnecessary, and i should have stuck to the facts.
i do want to clarify one thing: our incentives pay for liquidity, not wash trading. the claim that we’re incentivizing wash trading is incorrect, but i should have explained why instead of making it personal.
this has made clear we need to do a better job explaining how our incentives work and the safeguards we have in place. we’ve laid out the full context here: news.kalshi.com/p/the-facts-…
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Sosa✧. retweeted
What if prediction markets could do more than forecast sports or elections?
@Kalshi is betting on a very different use case: F.D.A. drug approvals.
C.E.O. @mansourtarek_ argues that more information about which drugs are likely to succeed could lead to smarter decisions about where to invest in drug development.
This week on Freakonomics Radio, Stephen Dubner talks with Mansour and others about the promises and the pitfalls of prediction markets.
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"It's made to make money. How do they make money? By us losing."
Online sports betting has exploded into a multibillion-dollar industry — but the boom may be coming at a steep cost.
Louis Ruggiero says he lost millions of dollars in just eight years, betting thousands of dollars per game, accusing the companies of purposely making the apps addicting. The companies say they make tools available for gamblers to stop and self-limit.
This weekend on @CBSSunday, @JimAxelrod investigates what happens when some of the biggest bettors can’t stop — and what a former FanDuel employee says the company knows about customers who may be headed for trouble.
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