Michael Saylor, Tom Lee, and Arthur Hayes BTC Year-End Price Predictions All Unfulfilled
BlockBeats News, December 31st, Cryptocurrency industry leaders had high hopes for the 2025 market, however, Michael Saylor, Tom Lee, and Arthur Hayes' Bitcoin price predictions for the end of this year were not met.
BitMEX co-founder Arthur Hayes had previously stated in the first half of the year that Bitcoin would reach $200,000 or higher by the end of 2025, and in a November podcast, he said, "I will stick to my prediction, and of course, it's okay if I'm wrong." As December arrived, Hayes finally admitted that his past predictions were "pretty bad."
Tom Lee, the chairman of Ethereum's first treasury company BitMine, was very optimistic at the beginning of the year, stating in January on CNBC that he expected Bitcoin's price to skyrocket to $250,000 by the end of the year. By the end of November, Tom Lee had revised his prediction to above $100,000.
Strategy co-founder Michael Saylor also made overly optimistic predictions, stating at the beginning of the year that as institutions pour in, Bitcoin will continue to rise steadily. Finally, on October 29th, Michael Saylor said, "Our current expectation is that the price should be around $150,000 by the end of the year."
You may also like

Stop Talking About Gold, Bitcoin Is Not a Safe Haven Asset

Aave Founder: What Is the Secret of the DeFi Lending Market?
The Trader's Playbook: 7 Market Cycle Lessons From LALIGA’s 90 Minutes
What do LALIGA matches teach about crypto markets? Learn how consolidation, breakouts, and late-cycle volatility shape disciplined trading decisions.
How Smart Money Tracker Survived Live AI Trading at WEEX AI Hackathon
Discover how WEEX AI Trading Hackathon tested strategies with real capital—no simulations. See how Smart Money Tracker survived flash crashes and leveraged 18x in live markets.
80% Win Rate to 40% Drawdown: An AI Trader's Brutal Recalibration at WEEX AI Wars
Dive into the technical blueprint of an AI trading system built on LLaMA reasoning and multi-agent execution. See how Quantum Quaser uses confidence thresholds & volatility filters at WEEX AI Wars, and learn the key to unlocking 95% win rate trades.
AI Trading Strategy Explained: How a Beginner Tiana Reached the WEEX AI Trading Hackathon Finals
Can AI trading really outperform human emotion? In this exclusive WEEX Hackathon finalist interview, discover how behavioral signal strategies, SOL trend setups, and disciplined AI execution secured a spot in the finals.

When AI Takes Over the 'Shopping Journey,' How Much Time Does PayPal Have Left?

Bloomberg: Aid Turkey Freeze $1 Billion Assets, Tether Remakes Compliance Boundary

Polymarket vs. Kalshi: The Full Meme War Timeline

Consensus Check: What Consensus Was Born at the 2026 First Conference?

Resigned in Less Than a Year of Taking Office, Why Did Yet Another Key Figure at the Ethereum Foundation Depart?

Russian-Ukrainian War Prediction Market Analysis Report

Ethereum Foundation Executive Director Resigns, Coinbase Rating Downgrade: What's the Overseas Crypto Community Talking About Today?

Who's at the CFTC Table? A Rebalancing of American Fintech Discourse
AI Trading vs Human Crypto Traders: $10,000 Live Trading Battle Results in Munich, Germany (WEEX Hackathon 2026)
Discover how AI trading outperformed human traders in WEEX's live Munich showdown. Learn 3 key strategies from the battle and why AI is changing crypto trading.
Elon Musk's X Money vs. Crypto's Synthetic Dollars: Who Wins the Future of Money?
How do Synthetic Dollars work? This guide explains their strategies, benefits over traditional stablecoins like USDT, and risks every crypto trader must know.

The Israeli military is hunting a mole on Polymarket

Q4 $667M Net Loss: Coinbase Earnings Report Foreshadows Challenging 2026 for Crypto Industry?
Stop Talking About Gold, Bitcoin Is Not a Safe Haven Asset
Aave Founder: What Is the Secret of the DeFi Lending Market?
The Trader's Playbook: 7 Market Cycle Lessons From LALIGA’s 90 Minutes
What do LALIGA matches teach about crypto markets? Learn how consolidation, breakouts, and late-cycle volatility shape disciplined trading decisions.
How Smart Money Tracker Survived Live AI Trading at WEEX AI Hackathon
Discover how WEEX AI Trading Hackathon tested strategies with real capital—no simulations. See how Smart Money Tracker survived flash crashes and leveraged 18x in live markets.
80% Win Rate to 40% Drawdown: An AI Trader's Brutal Recalibration at WEEX AI Wars
Dive into the technical blueprint of an AI trading system built on LLaMA reasoning and multi-agent execution. See how Quantum Quaser uses confidence thresholds & volatility filters at WEEX AI Wars, and learn the key to unlocking 95% win rate trades.
AI Trading Strategy Explained: How a Beginner Tiana Reached the WEEX AI Trading Hackathon Finals
Can AI trading really outperform human emotion? In this exclusive WEEX Hackathon finalist interview, discover how behavioral signal strategies, SOL trend setups, and disciplined AI execution secured a spot in the finals.