BTC Cycle Dashboard: Breakdown & History

Latest reading: 43/100 · Neutral Zone (as of 2026-10-19). All nine thermometer indicators — value, weight, meaning — plus 400 days of score history. This is the compact Tools edition; the wider professional analysis workspace is available in the Charts Hub.

What is the BTC Cycle Dashboard: Breakdown & History?

The Cycle Dashboard is the evidence page behind the BTC Cycle Thermometer: each of its nine indicators (mining cost, weekly MACD, Fear & Greed, Mayer, 200W SMA, weekly RSI, ATH drawdown, Pi Cycle, power law) with its current reading, sub-score, weight and meaning — plus up to 400 days of score history. The composite 0-100 verdict and community poll live on the Thermometer page.

How do I use the BTC Cycle Dashboard: Breakdown & History?

Temperatures below 30 have historically marked bear-market bottom zones (good for heavier DCA); around 50 is mid-cycle; above 80 enters historical top territory where de-leveraging and staged profit-taking make sense. Treat it as a quarterly position dial, not an intraday timer.

What should I watch out for?

All cycle indicators rest on historical patterns, and each Bitcoin cycle changes structurally (ETFs and institutionalization reshape the curve). The reading is probabilistic, and extremes can persist far longer than expected.

How the BTC Cycle Dashboard works

The BTC Cycle Dashboard is the evidence page behind the Cycle Thermometer. It shows each of the nine indicators with its reading, weight, sub-score and meaning, and charts the composite score over 90, 180 or 400 days.

What you enter

  • History range buttons: 90D, 180D or 400D (180D by default)

What it shows

  • Today’s temperature (the composite score) with the change versus yesterday, linking to the Cycle Thermometer
  • Score history line for the selected range, with the range Low and High (score and date) and the live BTC price
  • Nine indicator cards sorted by weight: raw reading, weight in %, 0–100 sub-score bar and a short explanation

How to use it

  1. Read "Today’s temperature" and the change versus yesterday at the top.
  2. Pick 90D, 180D or 400D to set the history window.
  3. Note the Low and High scores and their dates under the chart.
  4. Work through the nine cards from the top, starting with the heaviest weights (mining cost 20%, weekly MACD 15%, Fear & Greed 15%).
  5. Check whether the heaviest sub-scores point the same way before relying on the composite.

Formula

Same as the Cycle Thermometer: Score = round(sum(sub-score × weight) ÷ sum(available weights)). A card’s contribution to the composite ≈ sub-score × weight.

Worked example

Card reading: "Price / Mining Cost 1.40×, weight 20%, score 30" contributes about 30 × 0.20 = 6 points. A "Weekly RSI 55, weight 8%, score 50" card contributes 50 × 0.08 = 4 points, so the mining card has 1.5 times the influence.

How to read the result

  • The history line shows whether today’s reading is a trend or a one-day move.
  • When the heaviest indicators agree, the composite is more informative.
  • A sub-score shown as "—" means that source was unavailable and its weight was redistributed.

Limits and cautions

  • History only exists since daily archiving began and is kept for up to 400 days; it is not a multi-cycle backtest.
  • Sub-score anchors are set from past top and bottom behavior and may not hold in future cycles.
  • Reference only; it gives no entry, exit or timing signals.

Common questions

How is the Cycle Dashboard different from the Cycle Thermometer?

Both use the same daily data and score. The thermometer shows the verdict and zone; the dashboard shows each indicator’s weight and sub-score plus score history.

Why are the indicators sorted by weight?

Heavier components move the composite more, so reading them first shows what is driving today’s score.

How far back does the score history go?

Up to 400 days. Scores are archived once a day, so the history only covers the period since archiving started.

Open the full-screen chart workspace

Free to use with no signup. Read Bitcoin valuation, cycle, backtests and alerts, and calculate fees, slippage, funding and post-rebate cost before trading.