The post If selling $2 billion crashes the BTC price, why doesn’t buying $83B send it to space? appeared on BitcoinEthereumNews.com. In the spirit of no stupid questions, Bitcoin influencer Crypto Tea released a post on X that many people are wondering but haven’t said out loud. If previously dormant whales can crash the BTC price by selling $2 billion in BTC, why doesn’t a year of relentless buying pressure to the tune of over $80 billion from Saylor and ETFs send it to the moon? The Bitcoin Therapist picked it up: “Explain how this is possible,” he pondered. Sudden trades vs algo buying Creator of The Bitcoin Quantile Model, Plan C, quickly came to the rescue to explain the phenomenon. A big fat-finger sale of $2 billion in BTC can send the market down faster than a piano from a 10-storey building. Yet the $83 billion gobbled up in 2025 by Michael Saylor and the ETF brigade? Well, that seems to leave the BTC price making slow, steady tracks rather than moonshots. What gives? The logic is almost boringly simple, Plan C explains: “Easy. To compare the impact of trades, you need to consider the rate of trading by dividing the total dollars by the time over which they occurred.” In other words: price moves at the edges, not the averages. Sudden, massive sell orders, especially in thin liquidity, can wipe out order books and cause sharp price drops. Algobot buying, on the other hand, is precisely designed to blend in, spread out, and avoid crashing the party. Buy $83 billion in a year, and you build a floor, not a rocket, unless the pace picks up. The Crypto Investor Blueprint: A 5-Day Course On Bagholding, Insider Front-Runs, and Missing Alpha Nice 😎 Your first lesson is on the way. Please add [email protected] to your email whitelist. ‘Paper’ Bitcoin: The X Factor But wait. What about paper Bitcoin? The Bitcoin… The post If selling $2 billion crashes the BTC price, why doesn’t buying $83B send it to space? appeared on BitcoinEthereumNews.com. In the spirit of no stupid questions, Bitcoin influencer Crypto Tea released a post on X that many people are wondering but haven’t said out loud. If previously dormant whales can crash the BTC price by selling $2 billion in BTC, why doesn’t a year of relentless buying pressure to the tune of over $80 billion from Saylor and ETFs send it to the moon? The Bitcoin Therapist picked it up: “Explain how this is possible,” he pondered. Sudden trades vs algo buying Creator of The Bitcoin Quantile Model, Plan C, quickly came to the rescue to explain the phenomenon. A big fat-finger sale of $2 billion in BTC can send the market down faster than a piano from a 10-storey building. Yet the $83 billion gobbled up in 2025 by Michael Saylor and the ETF brigade? Well, that seems to leave the BTC price making slow, steady tracks rather than moonshots. What gives? The logic is almost boringly simple, Plan C explains: “Easy. To compare the impact of trades, you need to consider the rate of trading by dividing the total dollars by the time over which they occurred.” In other words: price moves at the edges, not the averages. Sudden, massive sell orders, especially in thin liquidity, can wipe out order books and cause sharp price drops. Algobot buying, on the other hand, is precisely designed to blend in, spread out, and avoid crashing the party. Buy $83 billion in a year, and you build a floor, not a rocket, unless the pace picks up. The Crypto Investor Blueprint: A 5-Day Course On Bagholding, Insider Front-Runs, and Missing Alpha Nice 😎 Your first lesson is on the way. Please add [email protected] to your email whitelist. ‘Paper’ Bitcoin: The X Factor But wait. What about paper Bitcoin? The Bitcoin…

If selling $2 billion crashes the BTC price, why doesn’t buying $83B send it to space?

2025/09/08 04:03

In the spirit of no stupid questions, Bitcoin influencer Crypto Tea released a post on X that many people are wondering but haven’t said out loud. If previously dormant whales can crash the BTC price by selling $2 billion in BTC, why doesn’t a year of relentless buying pressure to the tune of over $80 billion from Saylor and ETFs send it to the moon?

The Bitcoin Therapist picked it up:

Sudden trades vs algo buying

Creator of The Bitcoin Quantile Model, Plan C, quickly came to the rescue to explain the phenomenon. A big fat-finger sale of $2 billion in BTC can send the market down faster than a piano from a 10-storey building.

Yet the $83 billion gobbled up in 2025 by Michael Saylor and the ETF brigade? Well, that seems to leave the BTC price making slow, steady tracks rather than moonshots. What gives?

The logic is almost boringly simple, Plan C explains:

In other words: price moves at the edges, not the averages.

Sudden, massive sell orders, especially in thin liquidity, can wipe out order books and cause sharp price drops. Algobot buying, on the other hand, is precisely designed to blend in, spread out, and avoid crashing the party. Buy $83 billion in a year, and you build a floor, not a rocket, unless the pace picks up.

‘Paper’ Bitcoin: The X Factor

But wait. What about paper Bitcoin? The Bitcoin Therapist asks. You know, the supply we think we see on exchanges? Plan C’s take:

Reported purchases might be diluted if significant volumes of “paper” Bitcoin (IOUs or synthetics) are traded instead of real coins, creating the illusion of buy pressure without actually moving real coins off the market.

What really moves the BTC price?

Ultimately, the difference comes down to pace, execution, and market structure. ETF and institutional buying in 2025 was deliberate, steady, and highly fragmented across exchanges and OTC desks, sometimes even facilitated by algorithmic order books designed to minimize price impact.

Crashes, by contrast, tend to be abrupt, concentrated, and, yes, panic-inducing, particularly when carried out over thin liquidity weekends.

So, the next time a headline screams market meltdown over a quick $2 billion dump, remember it’s not just the size, it’s the speed and the source. Slow burns build floors. Sudden shocks bring flames. And somewhere in between, paper Bitcoin lurks as the market’s ultimate wildcard.

Mentioned in this article

Source: https://cryptoslate.com/if-selling-2-billion-crashes-the-btc-price-why-doesnt-buying-83b-send-it-to-space/

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Kalshi debuts ecosystem hub with Solana and Base

Kalshi debuts ecosystem hub with Solana and Base

The post Kalshi debuts ecosystem hub with Solana and Base appeared on BitcoinEthereumNews.com. Kalshi, the US-regulated prediction market exchange, rolled out a new program on Wednesday called KalshiEco Hub. The initiative, developed in partnership with Solana and Coinbase-backed Base, is designed to attract builders, traders, and content creators to a growing ecosystem around prediction markets. By combining its regulatory footing with crypto-native infrastructure, Kalshi said it is aiming to become a bridge between traditional finance and onchain innovation. The hub offers grants, technical assistance, and marketing support to selected projects. Kalshi also announced that it will support native deposits of Solana’s SOL token and USDC stablecoin, making it easier for users already active in crypto to participate directly. Early collaborators include Kalshinomics, a dashboard for market analytics, and Verso, which is building professional-grade tools for market discovery and execution. Other partners, such as Caddy, are exploring ways to expand retail-facing trading experiences. Kalshi’s move to embrace blockchain partnerships comes at a time when prediction markets are drawing fresh attention for their ability to capture sentiment around elections, economic policy, and cultural events. Competitor Polymarket recently acquired QCEX — a derivatives exchange with a CFTC license — to pave its way back into US operations under regulatory compliance. At the same time, platforms like PredictIt continue to push for a clearer regulatory footing. The legal terrain remains complex, with some states issuing cease-and-desist orders over whether these event contracts count as gambling, not finance. This is a developing story. This article was generated with the assistance of AI and reviewed by editor Jeffrey Albus before publication. Get the news in your inbox. Explore Blockworks newsletters: Source: https://blockworks.co/news/kalshi-ecosystem-hub-solana-base
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