bitcoinrainbow

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CryptoGates_io
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$BTC : Rainbow Chart shows price in the lower bands 📊 price is trading near the bottom of the log regression bands on the 1Y view. Interpretation: relative to long term trend, BTC is in a cheaper zone of this model. The model has no timing component. Lesson: lower bands have often come with long sideways phases. Staged entries and sized risk matter more than guessing the exact low. If you run a DCA plan, test your interval and step size on historical data first. #BTC #DCA #BitcoinRainbow
$BTC : Rainbow Chart shows price in the lower bands 📊

price is trading near the bottom of the log regression bands on the 1Y view.
Interpretation: relative to long term trend, BTC is in a cheaper zone of this model. The model has no timing component.
Lesson: lower bands have often come with long sideways phases. Staged entries and sized risk matter more than guessing the exact low.

If you run a DCA plan, test your interval and step size on historical data first.

#BTC #DCA #BitcoinRainbow
$BTC | The Bitcoin Rainbow Chart compresses cycle-position into nine logarithmic regression bands across a single colour ramp. Red (Maximum Bubble Territory) historically caught Dec 2013, Dec 2017, Apr 2021, and the late 2025 cluster. Dark blue (Buy / Accumulate) caught Jan 2015, Dec 2018, and Nov 2022. The honest framing: it is the same log-log regression underneath as Bitcoin Power Law, just visualised differently. Useful as a quick-glance cycle-position read for a confluence stack, not load-bearing on its own. Inside the SatoshiMacro Model it sits as a secondary visual in the Tier 1 Valuation card. Full historical chart: https://satoshimacro.com/tools/crypto/cycle-indicators/bitcoin-rainbow-chart/ #SatoshiMacro #BitcoinRainbow #OnChain #Bitcoin
$BTC | The Bitcoin Rainbow Chart compresses cycle-position into nine logarithmic regression bands across a single colour ramp. Red (Maximum Bubble Territory) historically caught Dec 2013, Dec 2017, Apr 2021, and the late 2025 cluster. Dark blue (Buy / Accumulate) caught Jan 2015, Dec 2018, and Nov 2022.

The honest framing: it is the same log-log regression underneath as Bitcoin Power Law, just visualised differently. Useful as a quick-glance cycle-position read for a confluence stack, not load-bearing on its own.

Inside the SatoshiMacro Model it sits as a secondary visual in the Tier 1 Valuation card.

Full historical chart: https://satoshimacro.com/tools/crypto/cycle-indicators/bitcoin-rainbow-chart/

#SatoshiMacro #BitcoinRainbow #OnChain #Bitcoin
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