Michael Saylor: Strategy.com Now Tracks Bitcoin's 200-Week Moving Average and Its Premium
Michael Saylor, founder of MicroStrategy, announced that Strategy.com is now tracking Bitcoin's 200-week moving average and its premium.
Since this moving average has been available, Bitcoin has traded above it 92% of the time; the current price is almost exactly on the line.
On the market side, long-term technical indicators have become a focus for institutions and long-term holders; capital may increase allocations near the moving average support, while short-term volatility traders face pressure, enhancing strategic buy signals.
Source: Public Information
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Michael Saylor has long viewed Bitcoin as a core reserve asset, with MicroStrategy (now Strategy) continuously increasing its holdings and publicly sharing technical indicators; the 200-week moving average has historically been seen as an important reference for bear market bottoms and long-term support, often accompanied by the start of a new cycle after being touched.
On the capital path, the company is using website resources to showcase this indicator, motivated by guiding investors to focus on long-term value rather than short-term prices; this is specifically reflected in the public premium data, reinforcing the narrative of being 'close to historical support' to attract capital that aligns with its holding logic.
Similar cases can be seen where Bitcoin has previously formed long-term bottoms near the 200-week moving average before entering bull markets; the current market is transitioning from a high premium phase to a valuation reset phase close to the long-term moving average.
Essentially, this represents a transfer of pricing power: when prices return to the long-term moving average, market mechanisms re-anchor value perception using historical support, concentrating pricing power among institutions that adhere to long-term holding.
ABAB News · Law of Cognition
Long-term moving averages are the true value anchors
92% of the time above, deviations are the exception
When close to the moving average, patience is more useful than predictions