Crypto prediction markets illuminate traders with AI and field farming
According to a new report, asset-oriented asset markets are emerging that can easily see runaway returns.
Derivatives Markets as a New Speculative Retail Farm for Traders, Uncommon Retail Trader Participants “Creating an extremely large amount of data assistance and meaningful weapons,” according to a Monday report from 10x Research.
The lion's share of the activity on these platforms, the sports patterns on Bitcoin (BCC) are reducing many opportunities that cannot be easily ignored by digital asset traders.
The company wrote, “Our main ‘main' trading weapon is not only to provide liquidity, but also to have their own market-making or “treasury” desk, but to stand on the other side of the retail flow.”
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Quantitative traders can offer asymmetric payments that compare favorably with the attractive initial appreciation certificates for quantitative markets, the report suggested.
For example, in the right starting current market policy, 31 USD (BBB) productions are blocked by 0.01 USD in the Depression (BNB) token. In comparison, the owner of the BnB will earn 1.65x profit from the same level as the current price.
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High din level accounts, ice bot houses grow insurance business
However, some prediction market accounts have broken trading signals, especially the $1 million dollar account that earned more than $1 million on Google search trends in one day.
Polymarket user body chart according to Crypto Investors Haiju successfully won 22 positions from 23 placed Cancers and generated 1 million dollars.
“This is not a lucky streak. Before the release of the result, Jiminix 3.0, which was previously described by Jiminix and Patrick, is more than 150 kg.
Others use artificial intelligence bots to increase their chances of winning.
Politiktok user “ilovkkek” collected more than 2.2 million dollars in the last two months through bikinis with a winning total of 74%, sports and cryptography.
The sound and winning consistency of the data trader “Sunday X Posts for the undifferentiated
Magazine: Training AI agents to learn better predictions
