Did We Catch The Bottom? Or Is There More Downside Left?

21 Jun 2022 · 10 min
10:04

In this video, The Art of Crypto evaluates whether Bitcoin’s recent price lows represent a true macro bottom or merely a deep oversold condition. He begins by examining the daily chart’s Mean Reversion Channel (MRC), noting that Bitcoin has plunged deeper into the channel than any time since the March 2020 and October 2018 crashes—historical points that have previously signaled market bottoms. By comparing the current position to those past retracements, he estimates potential downside scenarios: a 24% drop below the MRC bottom band (~$13.4 K) or a 33% drop (~$12 K), while also referencing historic $10 K–$9 K bottom zones. He then shifts to a lower‑timeframe analysis, drawing a Fibonacci retracement from the recent swing high to swing low to locate equilibrium zones. The 0.5 Fibonacci level (~$25 K) is identified as the first major resistance, with the 0.618 level (~$28 K) marking the likely target of an imminent relief rally. This expectation is reinforced by a large CME futures gap between $27.3 K and $28.8 K, which historically has acted as a buying catalyst. While acknowledging that macro‑level bearish structure remains (lower highs/lows on the daily chart), he argues that current prices are still attractive for spot buying, especially over 2‑10‑year horizons, and that investors need not catch the exact bottom to achieve strong returns. He advises scaling in and dollar‑cost averaging (DCA) rather than attempting precise timing. For traders seeking short‑term profit, he pinpoints a fair‑value gap around $21.5‑$21.6 K on the 4‑hour chart as a potential short entry. Rather than placing a limit order, he recommends setting a TradingView alert, then confirming a break of market structure on a lower timeframe before entering. He also cautions against volatile‑driven stop‑losses and promotes using alerts to avoid premature exits. Throughout, he ties the analysis to broader macro factors—unprecedented fear, historic Fed rate‑hike context, and the principle that high‑fear environments historically produce the best buying opportunities.

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