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BTC Peaks at $170K on June 10 Matching 2023 Fractal Timing

BTC Peaks at $170K on June 10 Matching 2023 Fractal Timing

CryptonewslandCryptonewsland2025/06/22 03:48
By:by Yusuf Islam
  • Bitcoin formed a clear top on June 10 following an 89-day rally that mirrors a 2023 fractal pattern.
  • The fractal timing began in March and included two earlier 88-day cycles before reaching a confirmed high.
  • Bitcoin has now dropped more than $65000 since that date as chart symmetry points to a possible downtrend.

Bitcoin reached a key local high on June 10, 2025, marking 89 days from the previous cycle midpoint, matching the eclipse fractal. Price peaked near $170,000 before correcting sharply. The daily candle closed at $103,236.53 on June 20, confirming a steep drop.

wait a sec..

when was the local top?

JUNE 10⁉️

i literally couldn’t make it up if i tried 🤯 https://t.co/xTtcvq0S6c pic.twitter.com/CZ4P2ZDkjl

— Charting Guy (@ChartingGuy) June 20, 2025

This development aligned with an earlier prediction made on April 16, 2025, based on eclipse pivot data and fractal modeling. The current cycle matches a time-based structure with exact spacing of 88 to 89 bars between each high and correction. The fractal comes from 2023 and appears to map BTC tops with high accuracy. Its symmetry held across multiple market phases.

The 89-day window repeats between local tops and pullbacks. Each section spans roughly three lunar months or two moon cycles. This specific June 10 top now adds weight to timing models using astronomical pivots. Chart overlays support this timing assumption visually. Given this setup, a vital question emerges: how reliable is time-based technical analysis in forecasting future Bitcoin moves?

Fractal Analysis Shows Repeating 88–89 Bar Intervals

On the chart, the first interval spanned 88 bars, followed by another identical segment leading up to March 2025. Bitcoin showed range-bound movement during the first two cycles. The final segment included a parabolic rally before topping on June 10. A vertical marker was drawn from each fractal midpoint. All led to significant shifts in price structure within tight tolerances.

Each interval includes a full swing—from base building to breakout and reversal. The timing suggests consistent behavioral patterns over months. The 88-day structure is not random. It synchronizes with external events like eclipses, giving traders extra time-awareness in price movement.

Chart annotations confirm the last two cycles included precisely 88 and 89 daily candles before reversing trend direction. Current cycle now points downward post-June 10. This downturn is confirmed by a drop of over $65,000 from recent highs.

The purple markers on the TradingView chart connect key turning points across all cycles, visually reinforcing the pattern. This kind of timing model continues to attract interest due to its repeated accuracy in identifying tops without lagging indicators.

Price Action and Technical Outlook Post-Timing Signal

After hitting the June 10 peak, Bitcoin has steadily declined, reaching as low as $102,386.29 on June 20, 2025. This 10-day retracement suggests a potential new downtrend forming, especially if no recovery holds above $108,000 in the near term. Current candle shows a 1.40% loss for the day. Price behavior continues to respect fractal symmetry in post-peak drawdowns. Market watchers now closely monitor whether similar downside structures follow this 89-day pattern, as happened in prior cycles.

Volume has remained low during this correction, indicating uncertainty and lack of aggressive buying near support levels. Traders are examining additional technical signals to validate whether the June 10 top leads into a longer-term pullback. Price movement before June 10 mirrored the 2023 fractal used in the analysis, which had a similar final rally structure. The analyst behind this chart shared the forecast publicly on April 16, suggesting June 10 would be a cycle peak. Market reactions and price behavior since then have validated the model’s predictive accuracy and strengthened belief in its application.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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