Crypto Bull Markets, Altcoin Cycles, and the New Liquidity Paradigm

By Zion Zhao | 狮家社小赵

The digital asset landscape is in perpetual flux, shaped not only by technological innovation but also by complex patterns of liquidity, market psychology, and global macroeconomic forces. 

1. Market Structure: Resistance, Support, and Cyclical Psychology

The technical analysis of “TOTAL2”—the total cryptocurrency market cap excluding Bitcoin. As of the discussion, this metric was encountering notable resistance, a common scenario near prior highs or at critical Fibonacci retracement levels. Such market hesitation, often visible as price “congestion,” is frequently a prelude to major directional moves, as discussed in academic works on market microstructure (Kyle, 1985).

Do reference the Ichimoku Cloud, a Japanese charting method that overlays multiple moving averages and clouded areas of support and resistance. Academic studies validate the Ichimoku Cloud as an effective tool for trend detection in volatile markets (Yamada, 2019). It is also worthy to refer to Fibonacci extensions—notably the 0.786, 1.272, 1.414, and 1.618 levels—which, while controversial, have been empirically observed as psychological triggers for momentum-driven markets (Korol, 2013).

2. Bitcoin Dominance and the Liquidity Thesis

A key theme nowadays in the crypto-circle is the debate around Bitcoin dominance—the percentage of total crypto market capitalization held by Bitcoin. Historically, Bitcoin dominance rises during risk-off periods and falls when speculative fervor drives money into smaller, riskier altcoins (Liu et al., 2023). I think it is good to note that Bitcoin remains structurally dominant, with its dominance ratio staying above key retracement levels (63%, 70.2%, 78.6%), suggesting altcoin season has not yet fully arrived.

Critically, the I would argue that global liquidity, not just Bitcoin’s four-year halving cycle, now drives crypto bull and bear markets. This view is supported by empirical data: major crypto rallies have correlated with periods of rising global M2 money supply and expansionary monetary policy (Chen et al., 2023; Glassnode, 2023). Bitcoin is increasingly seen as a “liquidity proxy,” moving in sync with global risk assets.

3. Altcoin Rotation: “Dino Coins,” Technical Setups, and Early Movers

Let us examine the classic altcoins—dubbed “dino coins”—such as XRP, XLM, ADA, DOGE, and ALGO. I observe parallels to past cycles, noting that older, established coins often experience outsized moves during the early and middle phases of bull markets before liquidity rotates into newer, more speculative tokens (Coin Metrics, 2022).

Patterns like the “rising three methods” candlestick formation are highlighted as signals of bullish continuation. Studies of candlestick effectiveness in cryptocurrency markets confirm that such patterns can predict short-term momentum, especially when accompanied by volume confirmation (Park & Irwin, 2007; Yoon, 2017).

In times like these, I often caution against “chasing green candles”—buying after large upward moves—emphasizing the importance of accumulation during periods of low volume and sentiment, a strategy that aligns with Warren Buffett’s value-investing philosophy and academic behavioral finance research (Barberis et al., 1998).

4. Ethereum, Altcoin Correlations, and Macro Implications

Ethereum’s price action is given special attention. It is worthy to observe that Ethereum is at a pivotal resistance, with potential to break into new highs if it sustains momentum above critical moving averages and the Ichimoku cloud—zones currently around $3,100 and $3,300, respectively.

Empirical research confirms that Ethereum’s role as the foundational layer for DeFi and stablecoins means its price action often leads or lags sector-wide movements (Ethereum Foundation, 2023). I do connect these breakouts to expansion in stablecoin supply—a vital on-chain measure of market liquidity (Kaiko, 2023).

5. Market Rotation, Meme Coins, and the Psychology of Bull Markets

Let us expand further into memecoins (e.g., DOGE, SHIB, PEPE), which often exhibit parabolic rises in the latter stages of crypto bull runs. These moves are less about fundamentals and more about market psychology, momentum, and social media-driven “herd effects” (Ante, 2022). While high-risk, these cycles can produce outsized returns for early entrants and catastrophic losses for latecomers—a classic demonstration of the Greater Fool Theory in speculative markets.

6. The Extended Cycle Hypothesis and Dismissal of Halving Dogma

A critical divergence from crypto orthodoxy emerges: I argue that the four-year Bitcoin halving cycle is no longer the primary driver of market cycles. Instead, I contend, the duration and magnitude of cycles are increasingly dictated by global liquidity trends, as measured by central bank balance sheets and global risk asset performance.

This is supported by academic analyses demonstrating high correlations between the expansion of the U.S. Federal Reserve’s balance sheet, S&P 500 rallies, and major crypto bull markets post-2020 (Pistor, 2023; Glassnode, 2023).

7. Technical Patterns and Probabilities: A Case for Patience

I would like to emphasize patience, technical discipline, and the strategic accumulation of tokens trading in “range-bound” consolidation patterns. The bullish setups such as bullish engulfing candles and ascending triangle formations, all of which are validated in technical trading literature as providing statistically significant edge—when combined with sound risk management (Murphy, 1999; Lo et al., 2000).

8. Risks, Uncertainties, and the Black Swan Factor

No discussion of crypto markets is complete without acknowledgment of tail risks—ranging from exchange failures and stablecoin depegging to systemic risks in the broader financial system (FSB, 2023). When it comes to cryptocurrency, I always wryly note that “the only thing that can crash crypto is the failure of the entire financial system or the internet”—a hyperbolic, but not entirely incorrect, observation.

9. Conclusion: The Long View—Liquidity, Patience, and Cyclical Opportunities

Lastly, I would offer a cautiously optimistic view. The prevailing narrative is that, while cycles may appear to repeat, each is distinct, shaped by evolving liquidity conditions, regulatory frameworks, and market participant behavior. As liquidity expands, even laggard coins are likely to benefit from late-stage capital rotation.

Investors are cautioned against chasing hype and are encouraged to patiently accumulate assets with sound technical structures and historical resilience. The “rotation game” is not unique to crypto but has been observed across asset classes throughout financial history (Jegadeesh & Titman, 1993).

---

Secure Your Wealth in an Uncertain World—Partner with a Data-Driven, Global-Minded Real Estate Advisor

In today’s rapidly evolving investment landscape—where crypto bull markets, shifting liquidity cycles, and geopolitical dynamics create both immense opportunities and new risks—the need for a well-versed, holistic advisor has never been greater. As a Real Estate Agent based in Singapore, I bring you not only deep expertise in property transactions, but also a strong command of global economics, macro trends, technical equity analysis, and portfolio construction honed over years as a seasoned trader and SAF officer.

My clientele includes international and local high-net-worth individuals, institutional investors, and families from China, Southeast Asia, and beyond—seeking secure, strategic entry into Singapore’s robust property market, whether for investment, family migration, or educational pursuits.

What sets me apart is my relentless dedication to due diligence: every day, I devote significant hours to researching macroeconomic shifts, writing detailed market essays, and ensuring that my advice is always up-to-date and fact-checked. My mission is to empower my clients with actionable insights not only from real estate, but from the broader worlds of finance, technology, and geopolitics.

In a time when crypto and equities can swing wildly with each news cycle, Singapore real estate remains a foundation of stability—offering capital appreciation, reliable rental yields, and a resilient hedge against volatility. Adding real estate to your portfolio isn’t just prudent; it’s essential for lasting wealth and peace of mind.

Don’t entrust your future to anyone less than a proven, research-driven professional who is always ahead of the curve.

Whether you are looking to invest, immigrate, or diversify your global portfolio, let’s strategize together. Contact me today for a confidential consultation—and discover how Singapore property can anchor your wealth for generations to come.

---

Your dedicated advisor in property, markets, and your financial future.

References

---

APA-Style References List

Barberis, N., Shleifer, A., & Vishny, R. (1998). A Model of Investor Sentiment. Journal of Financial Economics, 49(3), 307–343. https://doi.org/10.1016/S0304-405X(98)00027-0

Chen, C., Xu, X., & Li, Y. (2023). The Impact of Global Liquidity on Cryptocurrency Markets. Finance Research Letters, 55, 103755. https://doi.org/10.1016/j.frl.2023.103755

Coin Metrics. (2022). State of the Network: Altcoin Rotation. Retrieved from https://coinmetrics.io/

Ethereum Foundation. (2023). Ethereum Whitepaper & Ecosystem Overview. Retrieved from https://ethereum.org/en/whitepaper/

Financial Stability Board (FSB). (2023). The Financial Stability Risks of Crypto-assets. Retrieved from https://www.fsb.org/

Glassnode. (2023). The Week On-chain: Liquidity Cycles and Crypto Markets. Retrieved from https://glassnode.com/

Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), 65-91. https://doi.org/10.1111/j.1540-6261.1993.tb04702.x

Kaiko. (2023). Stablecoin Supply and Market Liquidity. Kaiko Research. Retrieved from https://www.kaiko.com/

Korol, R. (2013). Fibonacci Technical Analysis: New Tools and Strategies for Traders. Journal of Technical Analysis, 71, 47-62.

Kyle, A. S. (1985). Continuous Auctions and Insider Trading. Econometrica, 53(6), 1315-1335. https://doi.org/10.2307/1913210

Liu, Y., Tse, Y., & Zhang, L. (2023). Market Efficiency, Bitcoin Dominance, and Altcoin Returns. Journal of Alternative Investments, 25(4), 91–104.

Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation. Journal of Finance, 55(4), 1705–1765. https://doi.org/10.1111/0022-1082.00265

Murphy, J. J. (1999). Technical Analysis of the Financial Markets. New York: New York Institute of Finance.

Park, C.-H., & Irwin, S. H. (2007). What Do We Know About the Profitability of Technical Analysis? Journal of Economic Surveys, 21(4), 786–826. https://doi.org/10.1111/j.1467-6419.2007.00519.x

Pistor, K. (2023). Crypto, Central Banks, and the Future of Money. Journal of Financial Regulation, 9(2), 181–207.

Yamada, T. (2019). Ichimoku Cloud: An Innovative Approach to Technical Analysis. Technical Analysis of Stocks & Commodities, 37(4), 24-34.

Yoon, S.-M. (2017). Candlestick Charting in Cryptocurrency Markets: An Empirical Study. Finance Research Letters, 22, 252–259.