

Bitcoin attempted a fresh Bollinger Bands breakout this week as traders monitored resistance levels, whale activity, and falling exchange reserves. The move placed Bitcoin back above the upper Bollinger Band on the daily chart for the first time since January.
TradingView data showed BTC/USD recorded its second consecutive daily close above the upper Bollinger Band on Wednesday. The breakout followed the narrowest Bollinger Band conditions ever recorded for Bitcoin last month.
At the same time, on-chain metrics showed whale holders defending key support levels while exchange reserves continued falling across major trading platforms. Market data also pointed to stronger institutional participation shaping Bitcoin trading patterns.
Bitcoin traded above the upper Bollinger Band after spending months below the indicator’s resistance area. The breakout attempt followed a long period of compressed volatility.
John Bollinger, creator of the Bollinger Bands indicator, said one of his investment fund’s trading models had turned ‘positive’ on Bitcoin. He also confirmed that the fund opened a BTC position after the signal appeared.
The Bollinger Bands indicator tracks volatility and momentum using upper and lower trading ranges. Analysts often monitor moves above the upper band for signs of stronger momentum, although confirmation depends on sustained price action.
The latest move marked Bitcoin’s first daily close above the upper band since mid-January. Traders continued watching whether BTC could maintain momentum above nearby resistance levels.
Trader SuperBro said Bitcoin closed above the upper Bollinger Band and above a closing-price trendline. However, the trader noted that Bitcoin remained below a logarithmic trendline based on candle wicks.
The trader also reviewed liquidation data and said most short liquidations had already been cleared. According to the analysis, fewer short positions remained up to the $85,000 range.
SuperBro added that long liquidations below the current price remained larger than short liquidations above it. This setup kept attention on whether Bitcoin could continue rising without triggering broader downside pressure.
Market participants continued tracking resistance zones near recent highs. Traders also monitored whether Bitcoin could sustain daily closes above the Bollinger Band resistance area.
On-chain data from CryptoQuant showed Bitcoin recently held above realized price levels linked to short-term whale holders. Analysts placed the whale's realized price range between $66,000 and $70,600.
The realized price reflects the average acquisition cost of holders based on blockchain activity. Analysts often use the metric to identify support and resistance levels connected to large investors.
CryptoOnchain data showed Bitcoin rebounded after approaching that range during the recent correction. Analysts said whale holders appeared to defend positions near their average cost basis.
The report stated that holding above $70,600 could support the view of a local bottom. A move below $66,000 would weaken that reading and point to deeper downside pressure.
Bitcoin reserves on Binance, OKX, and Gemini continued declining through May. Data showed nearly 100,000 BTC left the three exchanges since February.
Binance reserves dropped from around 670,000 BTC to nearly 620,000 BTC. OKX reserves declined from about 132,000 BTC to roughly 102,000 BTC during the same period.
Gemini reserves also fell from approximately 114,800 BTC to nearly 95,000 BTC. Combined outflows from the three exchanges exceeded $8 billion based on Bitcoin’s recent market price.
Separate data from Darkfost showed Bitcoin inflows now follow stronger weekday activity patterns compared with earlier market cycles. Analysts linked the shift to growing institutional participation in Bitcoin markets.
The report noted that Bitcoin trading behavior has changed since 2016, when exchange inflows remained relatively constant across all seven days of the week. Current inflow patterns show lower weekend activity and stronger weekday concentration tied to institutional trading schedules.
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