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Long timeframe investor tool to identify under/oversold price periods
A simple heatmap system based on movements of the 200 week moving average.
Ratio of bitcoins in circulation relative to the amount of bitcoins annually mined, and this ratio's relationship with price
Moving average and moving average multiples to pick market cycle highs to within 3 days.
Uses Bitcoin's growth adoption curve and market cycles to identify both intracycle and full-cycle price highs.
The proportion of days in Bitcoin's traded history that it has been profitable to hold Bitcoin
Uses color bands overlaid on a log growth curve to highlight market stages.
Pulls apart differences between Market Value and Realised Value to identify market cycle highs and lows.
Comparing change in price with change in number of addresses to determine if Bitcoin is over/undervalued in the short term.
This adaptation of NVT Signal adds standard deviation bands to identify when Bitcoin is overbought or oversold.
Live chart showing the number of unique addresses holding at least 1BTC.
Live chart showing the number of unique addresses holding at least 10BTC.
Live chart showing the number of unique addresses holding at least 100BTC.
Please note, the indicators above are experimental. There is no guarantee certain rules within each model will continue to apply as Bitcoin progresses along its adoption journey. Any information on this site is not to be considered financial advice. Please review the Disclaimer section for more information. Please review the Disclaimer section for more information.