【algorithmic automated crypto trading system platform】
发布时间：2026-04-04 08:30:09 来源：Unified Summit Risk 作者：Trading Signals
-
Bitcoin’s reputation has historically been built on algorithmic automated crypto trading system platformextreme boom-and-bust cycles, with steep drawdowns of up to 90% following all-time highs.\n\nThis cycle, however, the decline has been closer to 50%, a shift that analysts said reflects the maturation of BTC as an asset class.\n\n“Bitcoin’s drawdowns compressing to about 50% is a sign of a maturing market structure,” AdLunam co-founder and market analyst Jason Fernandes told CoinDesk.\n\n“As liquidity deepens and institutional participation increases, volatility naturally compresses on both the upside and the downside,” he added, saying that “at that point, the narrative shifts from questioning its legitimacy to optimizing allocation.”\n\nFernandes' comments are in response to an X post Tuesday by Fidelity Digital Assets , in which analyst Zack Wainwright noted growth is becoming “less impulsive,” with a reduced probability of extreme downside events as bitcoin matures.\n\nWainwright pointed out that the current drawdown from the Oct. 6 all-time-high of just over $126,200 is much less significant than previous pullbacks.\n\n“Each cycle has been less dramatic to the upside than the previous and downside risk has also been less dramatic,” he said.\n\nFernandes and Wainwright, of course, were referring to previous "bust" periods, most notably following the peaks of 2013 and 2017.\n\nAfter reaching a high of approximately $1,163 in late 2013, bitcoin entered a prolonged "crypto winter" that saw its price plummet to around $152 by January 2015, representing a drawdown of roughly 87%. A similar pattern was seen after the 2017 bull run, when it reached $20,000 in December before plummeting roughly 84% to $3,122 over the following 12 months.\n\nNot all analysts agree that deeper drawdowns are off the table.\n\nBloomberg Intelligence’s Mike McGlone told CoinDesk that he believes bitcoin could still see a “normal reversion” toward $10,000, arguing that “the crypto bubble is over” and that any downturn could coincide with broader declines across equities, commodities and other risk assets.\n\nHowever, Fernandes, who has previously dissented with McGlone’s $10,000 forecast, said that scale itself is part of the story. As bitcoin grows into a larger asset class, the likelihood of 90% collapses diminishes simply because the capital required to drive such moves is too great. That effect is reinforced by institutional integration, from ETFs to pension exposure, which makes large-scale unwinds structurally harder.\n\nThe shift is already showing up in portfolio construction.\n\n“The portfolio data is really what shifts institutional behavior,” Fernandes said. “If a small 1% to 3% allocation can materially improve returns and Sharpe ratios without significantly increasing drawdowns, then bitcoin starts to function less like a standalone bet and more like an efficiency enhancer within a diversified portfolio.”\n\nThat framing changes the risk calculus. “The risk isn’t about owning bitcoin anymore,” Fernandes stated. “It’s the opportunity cost of having no exposure at all.”\n\nRecent Fidelity research supports that transition. In a 10-year comparison across major asset classes, bitcoin delivered roughly 20,000% returns, significantly outperforming equities, gold, and bonds, while also leading on risk-adjusted measures despite its volatility.\n\n“Bitcoin remains a relatively young asset, yet it has quickly matured into a major asset class and has been the top-performing asset in 11 out of the past 15 years,” the report noted.\n\nAt the same time, the tradeoff is becoming clearer.\n\n“There’s a tradeoff here that’s worth articulating,” Fernandes said. “As bitcoin matures and volatility compresses, you should also expect returns to normalize. The asymmetric upside of the early cycles came with extreme drawdowns, but as those drawdowns shrink, the asset increasingly behaves like a macro allocation rather than a venture-style bet.”\n\nThat brings it back to the drawdowns.\n\nIf bitcoin is no longer falling 80%, and portfolios can benefit from small allocations without materially increasing risk, then the asset is evolving into something more investible and usable, Fernandes said, concluding that for institutions, that may be the real inflection point.\n\nCORRECTION (April 2, 09:46 UTC): Correct to note X post was by Fidelity Assets.
- 上一篇：Brazil's B3 exchange to offer bitcoin-linked 'event contracts' for the ultra-rich
- 下一篇：Beyond T-bills: OpenEden introduces tokenized high-yield corporate bond
- What makes a strong solution for Multi Exchange Trading 306
- What makes a strong solution for Quantitative Trading
- How Futures Trading supports long term strategy development 970
- Beginner guide to Portfolio Automation 885
相关文章
- Bitcoin ETFs post first monthly inflows since October as price stabilizes
- How to evaluate a platform for Portfolio Automation 785
- Key benefits of Quantitative Trading for modern traders 403
- Beginner guide to Trading Dashboard 828
- Bitcoin traders keep chasing Trump’s Iran noise. The real signals are elsewhere.
- How Market Analysis improves daily trading workflows 733
- Beginner guide to Order Management
- How Quantitative Trading supports smarter execution 343
- OpenAI raises a record $122 billion as revenue crosses $2 billion per month
- How Bot Performance supports long term strategy development
- Bitcoin’s crashes are shrinking, and Wall Street is starting to notice
- How Execution Speed supports smarter execution 938
- Advanced insights into Multi Exchange Trading
- What makes a strong solution for Trade Automation 455
- The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- How to evaluate a platform for Trading Dashboard 568
- Advanced insights into Paper Trading 669
- What makes a strong solution for Multi Exchange Trading 386
- Bitcoin’s crashes are shrinking, and Wall Street is starting to notice
- What traders should know about Portfolio Automation 265
随便看看
How to evaluate a platform for Spot Trading 991
Common mistakes to avoid with Mobile Trading App
How Market Analysis supports long term strategy development 433
Why more users are adopting Order Management 537
- Copyright © 2026 Powered by 【algorithmic automated crypto trading system platform】,Unified Summit Risk sitemap