Navigating Cautiously Bullish Markets and Critical Resistance: A Professional Trading Blueprint

Navigating Cautiously Bullish Markets and Critical Resistance: A Professional Trading Blueprint 

By Zion Zhao | 狮家社小赵

The current post-One Big Beautiful Bill Q2 2025 market environment has been marked by persistent bull trends across U.S. equities and major cryptocurrencies, punctuated by rare but sharp corrections. As recounted by experienced market commentators and technical analysts, indices such as the S&P 500 (SPY), NASDAQ 100 (QQQ), and leading assets like Bitcoin continue to set new highs, while select equities and altcoins exhibit pronounced momentum. Yet, with record-breaking moves come new risks—overvaluation, crowding, and potential reversals at key technical inflection points.

Through this essay, I hope to share some insights to provide a professional, actionable trading plan tailored to today’s climate. It will guide readers through the logic of trend followingrisk management, and tactical positioning at critical resistance, ensuring preparedness for both continued bull runs and sudden corrections.





1. Market Context and Technical Overview

1.1. U.S. Indices: Persistent Uptrends With Caution Flags

The SPY and QQQ have demonstrated resilient uptrends, with weekly candles showing minimal retracement and price action mostly “drifting higher”. Both indices are approaching or consolidating around critical resistance levels—SPY at 627QQQ at 561–562—with traders waiting for confirmation of breakout or breakdown. Current conditions are characterized by:

  • Absence of clear reversal signals on hourly and daily timeframes (Pring, 2022).

  • Dynamic support from rising EMAs (21-day and 21-week), which provide logical pullback targets.

  • Historical tendency for volatility spikes and sharp pullbacks at overextended levels (Baker & Wurgler, 2007; Corsi et al., 2023).

Key takeaway: The dominant probability remains higher as long as price maintains above key support and no volume-based rejection occurs. But as market veterans always quotes, “the bears take the elevator down”—rapid downside is possible if critical support breaks.

1.2. Crypto Markets: Bullish Momentum, Awaiting Confirmation

Bitcoin has broken out above major arcs and retraced to back-test new support, with analysts setting minimum upside targets in the 128–134k range and cycle highs as high as 184–197k (Coin Metrics, 2024). Altcoins such as XRP, Dogecoin, and Ethereum are leading, with breakout structures or consolidating just beneath multi-year resistance.

  • Accumulation during bull cycles is highlighted as the superior approach versus short-term trading with stop-losses, given market structure and order-flow dynamics Tharp, 2013).

  • Caution at resistance: For cryptos and high-beta stocks, buying “at resistance” is discouraged—wait for breakouts and back-tests. 

Key takeaway: The broader crypto trend is bullish, but prudent traders will watch for failed breakouts at major Fibonacci levels and adjust positioning accordingly.

1.3. Stock-Specific Observations: NVDA, TSLA, AMD, Palantir

  • NVDA, AMD, and TSLA: These “magnificent seven” stocks are leading, but current prices are far from logical support, reducing the attractiveness of new swing entries. 

  • Best entries occur near support, not at extension: Professional traders wait for pullbacks to dynamic support zones (e.g., 21-day EMA) rather than chasing all-time highs (Lo & Hasanhodzic, 2022).

  • Earnings and event risk: Holding volatile stocks through earnings is discouraged for swing traders, as binary events introduce significant gap risk (Chai et al., 2020).

Key takeaway: Patience is essential. Only buy leaders on pullbacks to support or after earnings when the risk/reward improves.


2. Professional Trading Principles and Risk Management

2.1. Evidence-Based Trading Over Prediction

All analysis emphasise reactive, not predictive trading. Like I always says, “Trading is always a reaction to the price action on the chart… until that happens, this is still a bull trend”. Academic research supports this approach:

  • Trend following systems, which react to confirmed price moves rather than predictions, have historically outperformed discretionary “top calling” (Hurst, Ooi, & Pedersen, 2017).

  • Dynamic position-sizing and risk management are critical, as “no one knows exactly when a correction will occur”.

2.2. Managing Position Size and Avoiding Common Pitfalls

  • Avoid excessive leverage or over-concentration at all-time highs or just beneath resistance (Golez & Koudijs, 2023).

  • Do not rely on stop-losses alone—market structure and liquidity “hunts” can trigger false exits, particularly in crypto (Tharp, 2013).

  • Risk per trade: Most professional traders risk no more than 1–2% of account equity per trade (Elder, 2014; Van Tharp Institute).

2.3. The Psychology of FOMO and the Importance of Waiting

  • FOMO (Fear of Missing Out) is a common trap near all-time highs. Academic research documents this as a driver of poor timing and overtrading (Lo, Repin, & Steenbarger, 2005).

  • Discipline and patience are recurring themes—wait for confirmation and buy at support.


3. Trading Plan: Tactical Blueprint for 2024–2025

3.1. Index and Sector Strategy

Trend: Remain long-biased as long as SPY > 613 and QQQ > 550.
Breakout Play: If SPY closes above 627 on strong volume, initiate new long positions targeting 645, trailing stops beneath 627 and 613.
Pullback Play: If SPY or QQQ lose dynamic support (21-day EMA or weekly key level), reduce exposure or initiate short hedges targeting the next support (600–613 zone for SPY).

Position size: Max 20–25% exposure per index; staggered entries on pullbacks.

3.2. Crypto Allocation

Bitcoin: Accumulate on pullbacks to 118–122k, targeting 134k, then 184–197k cycle highs.
Altcoins: Focus on relative strength leaders (e.g., ETH, XRP) but wait for confirmed breakouts above multi-year resistance, with entries on successful back-tests.
Risk: No leverage; size positions so that a 15–20% crypto drawdown does not impact the core portfolio beyond 2–3%.

3.3. Individual Stock Tactics

  • NVDA, AMD, TSLA, PLTR: Only initiate swing trades on pullbacks to 21-day EMA or other key support; avoid new entries at extremes.

  • Event risk: Do not hold new positions through earnings unless part of a diversified, long-term allocation.

  • Speculative names: Only allocate risk capital to bottom-fishing setups with clear stop levels and manageable downside.

3.4. Portfolio and Risk Management

  • Diversify across indices, crypto, and select stocks.

  • Stay cash-heavy if risk/reward deteriorates or support breaks.

  • Reassess daily: Use objective price action and technical inflection points to adjust exposure.

  • Maintain a trading journal: Document reasoning, emotional state, and adherence to the plan (Kirkpatrick & Dahlquist, 2021).


4. Conclusion: The Professional Edge

In summary, the current market is bullish, but caution is warranted at critical resistance. The professional approach is to trade with the trend, allocate only at logical support, manage risk obsessively, and react to evidence, not opinion or prediction. With volatility certain to return, only those who respect risk, avoid FOMO, and apply systematic discipline will thrive. My personal take, always document your trades. Keep a trading journal, I have written many logbooks just from my trading journaling. Learn from your mistakes. Profits over Ego. When it comes to trading, be like water my friend! All the best! 

All my essays are NOT Financial Advice, please do your own Due Diligence!



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References

Baker, M., & Wurgler, J. (2007). Investor Sentiment in the Stock Market. Journal of Economic Perspectives, 21(2), 129–151. https://doi.org/10.1257/jep.21.2.129

Chai, D., Faff, R., & Gharghori, P. (2020). The impact of earnings announcements on stock price volatility: Evidence from the Australian stock market. Accounting & Finance, 60(2), 1583–1615. https://doi.org/10.1111/acfi.12521

Coin Metrics. (2024). State of the Network. https://coinmetrics.io/

Corsi, F., Pirino, D., & Renò, R. (2023). Measuring volatility clustering and market overextension. Quantitative Finance, 23(1), 45–67. https://doi.org/10.1080/14697688.2022.2125731

Elder, A. (2014). The New Trading for a Living: Psychology, Discipline, Trading Tools and Systems, Risk Control, Trade Management. Wiley.

Golez, B., & Koudijs, P. (2023). The Long-Term Effects of Stock Market Bubbles on Investment Allocation. Journal of Financial Economics, 147(3), 652–676. https://doi.org/10.1016/j.jfineco.2023.04.007

Hurst, B., Ooi, Y. H., & Pedersen, L. H. (2017). A Century of Evidence on Trend-Following Investing. Journal of Portfolio Management, 44(1), 15–29. https://doi.org/10.3905/jpm.2017.44.1.015

Kirkpatrick, C. D., & Dahlquist, J. R. (2021). Technical Analysis: The Complete Resource for Financial Market Technicians (3rd ed.). Pearson.

Lo, A. W., & Hasanhodzic, J. (2022). The Evolution of Technical Analysis: Financial Prediction from Babylonian Tablets to Bloomberg Terminals. Bloomberg Press.

Lo, A. W., Repin, D. V., & Steenbarger, B. N. (2005). Fear and Greed in Financial Markets: A Clinical Study of Day-Traders. The American Economic Review, 95(2), 352–359.

Pring, M. J. (2022). Technical Analysis Explained (5th ed.). McGraw-Hill Education.

Tharp, V. K. (2013). Trade Your Way to Financial Freedom (2nd ed.). McGraw-Hill.

Van Tharp Institute. (n.d.). Position Sizing Strategies. https://www.vantharp.com/

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