
Bitcoin Bull Cycle Could Deliver 3–5x Gains, CryptoQuant CEO Says
CryptoQuant founder Ki Young Ju forecasts Bitcoin's next bull cycle will generate 3–5x returns, citing reduced volatility from growing institutional ownership. He argues the trade-off of smaller explosive rallies and crashes may attract longer-duration capital to the market.
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Institutional Inflows Temper Volatility
CryptoQuant founder Ki Young Ju expects Bitcoin's upcoming bull cycle to deliver between 3–5x gains, a projection he attributes to rising institutional ownership dampening extreme price swings. As institutions deploy larger positions over longer timeframes, the market's tendency toward rapid booms and busts should moderate, according to Ju's analysis.
The Trade-Off: Lower Peaks, Smaller Crashes
Ju acknowledges the corollary: the 10x rallies that characterized earlier crypto cycles are unlikely to return. However, he views this constraint as potentially favorable to a new class of investor. Smaller peak-to-trough volatility could reduce crash magnitude alongside gains, a profile that may appeal to risk-conscious long-horizon capital that previously avoided crypto's extremes.
What This Signals
The shift reflects a structural change in Bitcoin's investor base. While retail-driven cycles produced occasional 5x or 10x moves in a single run, institutional participation tends to smooth entry and exit across months or quarters. For traders and price-sensitive players, this implies tighter trading ranges but potentially less whipsaw drawdown risk for buy-and-hold participants.
Why It Matters
For Traders
Institutional dilution of retail volatility may compress intraday range trading opportunities while reducing tail-risk crash events within a single cycle.
For Investors
A 3–5x cycle return profile with lower intermediate volatility could broaden institutional allocators' risk appetite toward crypto as a macro hedge.
For Builders
Sustained longer-duration institutional presence may shift demand toward stablecoins, lending infrastructure, and custody solutions over high-frequency trading features.
This article is for information only and is not financial advice. Read the full disclaimer.



