Jamie Coutts, chief crypto analyst at financial media company Real Vision, stated that Bitcoin’s recent price decline is primarily the result of tightened global liquidity and decreased demand, rather than any single firm or individual. This perspective was shared during Coutts’ appearance on the podcast hosted by crypto strategist Michaël van de Poppe, where the influence of major institutional holders, particularly Michael Saylor’s company, was discussed.
Market sentiment: liquidity, not firms, as the main driver
Coutts emphasized that global financial conditions, including weaker demand and limited liquidity, are affecting Bitcoin and other risk assets. “Market reversals are not usually caused by just one company, but by market-wide forces such as liquidity and overall demand,” he explained.
The analyst addressed criticism directed at Michael Saylor and his company, Strategy, which is known for making large, debt-backed Bitcoin purchases. Although Strategy holds a significant share of Bitcoin, Coutts argued that their actions did not initiate either the market’s peak or its subsequent reversal.
He pointed to the lack of sustained buying interest from other market participants as a key factor behind Bitcoin’s declining price. Speculation about individual institutional roles, he suggested, overlooks broader market dynamics.
Jamie Coutts noted, “Liquidity remains the driving force shaping prices across Bitcoin and other risk assets. The recent downturn reflects weakened demand and more restrictive global liquidity rather than the actions of one buyer.”
Long-term holders and market cycle signals
Coutts also analyzed trends among long-term holders, indicating that selling from this group peaked during the third quarter of the previous year. Such behavior, he observed, often occurs during late-stage market cycles.
He referenced his firm’s proprietary risk model, which had flagged a potential market peak earlier than anticipated. Coutts interpreted this as a warning of a 30% to 40% price correction at the time, but now believes the model may have identified the cycle’s overall top.
Coutts reflected: “Long-term holders selling en masse tends to signal the market is late in its cycle. Our risk model gave us an early alert, and in hindsight, it may have nailed the cycle’s peak.”
Liquidity pressures and structural concerns
Coutts pointed out several factors contributing to the liquidity crunch. He said that companies in the artificial intelligence sector have cut back on stock buybacks and ramped up borrowing. Meanwhile, ongoing large-scale fundraising in private markets and substantial US government debt issuance have continued to drain excess liquidity.
He described mounting US government debt as a structural challenge, noting that debt is rising faster than available funds in the market. Coutts warned this imbalance could soon necessitate policy intervention to restore equilibrium.
Looking forward, Coutts anticipates that new capital could return to risk assets such as Bitcoin within the next year. However, he cautioned that the environment may worsen further before improvements are seen.
| Factor | Impact on Liquidity |
|---|---|
| AI company borrowings | Reduces available liquidity |
| Private-market fundraising | Absorbs capital |
| US government debt issuance | Drains excess liquidity |
Emerging trends: tokenization and AI agents
Coutts highlighted tokenization and autonomous AI agents as potential drivers of the next cycle in crypto demand. Tokenized assets could shift more traditional financial transactions onto blockchains, while AI agents may foster new demand for blockchain services—particularly digital payments and decentralized infrastructure.
If strong new demand converges with limited asset supply, the next crypto cycle could differ from past periods dominated by speculation. Coutts maintained that recovery in Bitcoin and other crypto assets will likely depend less on individual players and more on a return of global liquidity.
Mini dictionary: Tokenization, the process of converting real-world assets such as securities, real estate, or commodities into digital tokens on a blockchain, allows for more efficient transfer, fractional ownership, and improved liquidity in traditional markets.
