Bitcoin: Bull Case Vs. Bear Case
Bitcoin: Bull Case Vs. Bear Case
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Investors should deploy a dollar-cost averaging (DCA) strategy into Bitcoin (BTC) during the second half of the year as long-term momentum metrics signal a bottoming phase. A technical breakout requires a sustained weekly close above the 50-week moving average near $80,360 to confirm renewed bullish momentum. Keep cash reserves ready for a potential Q4 drawdown toward the $52,000 to $53,000 support zone if macroeconomic weakness escalates. In broad equities, brace for a seasonal 10% to 20% correction across the S&P 500 (SPY) and Invesco QQQ Trust (QQQ) between August and the fourth quarter. Exercise caution with spot Bitcoin ETFs and new thematic ETFs, as historical patterns indicate these products frequently underperform broad market benchmarks for multiple years after launching.

Detailed Analysis

Bitcoin (BTC)

  • An extensive data-driven analysis evaluated both the bullish and bearish cases for Bitcoin during the second half of a midterm year.
  • Bullish Arguments and Technical Indicators:
    • Weekly & Monthly RSI: Weekly RSI reached deeply oversold levels (around 26) similar to prior major lows, printing higher lows, while monthly RSI has also reset near historical bear market floor levels.
    • Cycle Crossing Metrics: Key long-term cycle indicators crossed in June, a pattern that historically signals the cycle bottom has occurred shortly thereafter.
    • Holding Patterns: Long-term holder accumulation has plateaued while short-term holder levels are notably low, mimicking bottoming structures in 2018 and 2022.
    • Time-Based Comparisons: Comparing this phase to the 2019–2020 correction, the roughly 9-month timeframe matches the duration of that previous bear market.
    • Moving Averages & Momentum: Bitcoin recently completed a Golden Cross and held support above key quantile regression boundaries ("golden pocket") and the 200-day moving average.
    • On-chain & Market Sentiment: Transaction fees are near floor levels, the Coinbase app ranking hit extreme lows, and 90-day Coin Days Destroyed is trending up.
  • Bearish Arguments and Technical Indicators:
    • On-Chain Valuation Metrics: Key metrics such as the Puell Multiple (has not breached below 0.4), MVRV Z-Score (has not dipped below 0), and Market Cap to Thermocap ratio (has not reset below 10) have not reached full historical reset levels.
    • Price vs. Realized/Balanced Price: Bitcoin is trading around $78,000 and has not fallen below its Realized Price (around $53,000) or its Balanced Price (around $37,000–$38,000), which previously acted as cycle floors.
    • Historical Four-Year Cycle Timing: Historically, cycle lows often materialize late in the midterm year (Q4 / around late October to November, roughly day 1,432–1,436 low-to-low or day 365–406 post-peak) rather than the summer.
    • Volume & Whale Activity: There has not yet been a massive capitulatory volume spike, and the on-chain Whale Activity Score reached only 0.25 at recent lows compared to 0.76–0.90 at previous major bottoms.
    • Technical Resistance: Weekly price action remains tightly contested just below the 50-week moving average (around $80,340–$80,361).
    • Social Interest and Thematic ETFs: Social metrics, search trends, and general market interest remain low. Historical precedents show thematic ETF launches (like Bitcoin spot ETFs) often lead to several years of relative underperformance.
    • Macro Headwinds: Potential stock market corrections (10% to 20% in the S&P 500 during Q3/Q4 of midterm years), potential interest rate hikes strengthening the US Dollar Index (DXY), and capital rotation toward upcoming tech/AI IPOs (e.g., Anthropic) could apply downward pressure.

Takeaways

  • Rather than attempting to pinpoint the exact market bottom, an effective approach is dollar-cost averaging (DCA) during the second half of midterm years whenever risk metrics fall below 0.3.
  • Watch the 50-week moving average (around $80,360); sustained weekly closes above this level would provide technical confirmation for the bull case.
  • Prepare risk management plans for a potential Q4 drawdown toward the Realized Price ($52,000–$53,000) or lower if broader macroeconomic or stock market corrections occur.

Invesco QQQ Trust (QQQ) / S&P 500 (SPY)

  • Historical market patterns show that thematic ETFs often launch near the mature stages of a bull market rather than at the start.
  • When QQQ launched in 1999, it rallied from roughly $48 to $120 before declining back to $60, eventually finding deeper cycle lows at $52 and $33 during the tech unwind.
  • In the initial year after launch, QQQ outperformed the S&P 500, but subsequently underperformed the broader index for three consecutive years.
  • Similar patterns of multi-year underperformance after launch were noted in thematic funds such as ARK Genomic Revolution ETF (ARKG) and ARK Space Exploration & Innovation ETF (ARKX).
  • Midterm years historically exhibit seasonality where the S&P 500 frequently experiences a 10% to 20% correction starting between August/September and lasting into the fourth quarter.

Takeaways

  • Be cautious when allocating capital immediately following the launch of major thematic or single-asset ETFs, as these instruments historically face multi-year periods of underperformance relative to broad-market indices.
  • Anticipate potential equity volatility during the second half of midterm election years, which can spill over into high-beta risk assets like cryptocurrencies.

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Video Description
Let's talk about the Bitcoin bull case vs. the bear case! 0:00 - INTRO bull case vs bear case 2:52 Setting up the indicator tally 3:29 On-chain indicators and market reset signals 4:01 Puell Multiple favors the bears 6:37 Weekly and monthly RSI favor bulls 10:30 MVRV Z-Score and realized price 16:40 ThermoCap, cycle cross, and holder accumulation 22:13 Time-based cycle comparisons 22:31 Comparing the drawdown with 2019 26:05 Low-to-low cycle timing 29:23 Post-halving timing and volume spikes 33:58 Social interest and the thematic ETF bear case 36:37 Coinbase rankings versus declining search interest 37:54 Bitcoin ETF parallels with QQQ 43:04 Gold and long-term social-interest risks 45:22 Thematic ETFs underperforming the market 47:54 Market-cap, risk, and macro indicators 48:22 Stablecoin supply and total market-cap signals 49:50 Risk metric and quantile regression levels 51:42 S&P 500 midterm-year correction risk 55:09 CME gaps and one-year ROI 1:00:07 Bitcoin buying strategy and moving-average signals 1:00:46 DCA strategy below 0.3 risk 1:03:39 50-week moving average confirmation 1:05:45 200-day average and Pi Cycle Bottom 1:07:35 Golden Cross and dollar headwinds 1:11:13 Whale activity and final indicator tally 1:11:42 Low whale activity favors bears 1:13:27 Count quarter and combined risk metric 1:15:32 Closing remarks for bulls vs bears 1:16:14 - Summary | OUTRO Come to the 1st ITC Conference: https://www.benjamincowen.com/conference Into The Cryptoverse Premium SALE: https://intothecryptoverse.com For inquiries and to subscribe to the monthly newsletter (free): https://www.benjamincowen.com/ Into The Cryptoverse Newsletter: https://newsletter.intothecryptoverse.com/ Alternative Option: https://www.patreon.com/intothecryptoverse Merch: https://store.intothecryptoverse.com/ Disclaimer: The information presented within this video is NOT financial advice. Telegram: https://t.me/intocryptoverse Twitter: https://twitter.com/benjamincowen TikTok: tiktok.com/@benjamincowencrypto Instagram: https://www.instagram.com/bjcowen/ Discord: https://discord.gg/UGwc6eR Facebook: https://www.facebook.com/groups/intothecryptoverse Reddit: https://www.reddit.com/r/intothecryptoverse/ Website: https://intothecryptoverse.com/
About Benjamin Cowen
Benjamin Cowen

Benjamin Cowen

By @benjaminjcowen

Former NASA researcher, PhD in Engineering, post-doc in high energy density physics at Sandia National Laboratories, turned quantitative macro researcher. Founder of Into The Cryptoverse, providing data-driven analysis of Bitcoin, crypto, commodities, and stocks through the lens of macroeconomics, liquidity, and market cycles.