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Accurate market predictions possible without large scale, Laura Shin notes

Accurate market predictions possible without large scale, Laura Shin notes
Institutional size not needed for accuracy

Laura Shin highlights insights from Andy Ross, Head of Institutional at Kalshi, on market prediction accuracy.

According to an internal study analyzing 2.2 million data points, market predictions remain highly accurate even a week before an event and do not require institutional-sized positions to maintain well-calibrated outcomes.

Shin has previously reported on Grayscale's launch of the first spot Zcash ETF and the formation of the BankChain Alliance by 39 state bankers associations in a prior article. She also confirmed that StarkWare completed the first quantum safe Bitcoin transaction on mainnet in block 964,199, without protocol changes, as detailed here. These reports reflect ongoing developments in digital asset markets and blockchain technology.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.

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