Billionaire ‘Shark’ Mark Cuban explains why Bitcoin is better than gold

CryptoGlobePublicado em 2022-12-27Última atualização em 2022-12-27

Resumo

In a recent interview, billionaire investor and entrepreneur Mark Cuban shared his thoughts on Bitcoin and gold.

In a recent interview, billionaire investor and entrepreneur Mark Cuban shared his thoughts on Bitcoin and gold.

Cuban is the majority owner of the professional basketball team Dallas Mavericks, as well as one of the “sharks” on the highly popular reality show “Shark Tank” (which is aired on the ABC television network).

Cuban’s comments were made during an interview on the “Club Random with Bill Maher” podcast.

According to a report by Decrypt, Cuban still seems bullish on Bitcoin:

“I want Bitcoin to go down a lot further so I can buy some more.“

As for why he thinks Bitcoin is a better store-of-value asset than gold, Cuban said:

“Gold is a store of value and so is Bitcoin… If everything went to hell in a hand basket and you had a gold bar you know what would happen? Someone would beat the f*** out of you or kill you and take your gold bar. It’s useless.“

According to a report by The Daily Hodl, during an interview with Forbes that was released on September 26, Cuban said the current state of the crypto space is kind of like the state of streaming services in the 90s:

“With crypto, it’s very analogous to that. We’re in the early ‘hassle’ phases. Now the very earliest of crypto – however you want to decide the beginning, with Bitcoin or whatever – has been around 12 years. But in terms of applications with smart contracts, that’s only 2017 for the most part. And so we’re really only five years in...

“So I’m still really bullish on crypto. We had some early wins, just like streaming audio with sports and news. Now with crypto you have DeFi (decentralized finance), and you have money transfer and some other applications, but you haven’t had any mainstream applications where your mom says, ‘Okay, we’ve got to get a wallet because I have to do A, B or C.’ It’s been DeFi, NFTs (non-fungible tokens) and money transfer. And so it’s kind of boring right now. We’re waiting for that next round of applications, and there’s a lot of people working on them.“

With regard to NFTs, Cuban had this to say:

“NFTs as books, I think particularly for textbooks. Now, whether or not we can get the college textbook publishers to go along is another issue but the idea of kids buying books for classes… The whole process of buying books.

“First, do you want new or used? Then, you lug these books back, then at the end of the semester – because they’re only good for the time you’re in the class – you make the decision, ‘Yeah I’m going to sell it. How do I sell it? Do I ship it off? Do I take it to the bookstore?’ It’s just a pain in the ass and in a digital world, it’s ridiculous.

“With those as NFTs, well the NFTs allow you to apply royalties so that when that book is resold, the author and the publisher and whoever else is involved can get a set royalty fee. That means that the publishers who created the book can keep on getting paid, whereas when there’s a physical book that’s sold and resold they have to hope that book falls apart, so that they can sell a new one. So I think that’s a great application.”

Leituras Relacionadas

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

marsbitHá 47m

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

marsbitHá 47m

Trading

Spot
Futuros
活动图片