Power Law Time Contours
Same-day fair value with empirical cycle references. Four daily-close cycle lows came within 18.44% of the lower reference; five selected cycle peaks came within 13.88% of the upper reference. The upper curve rises in dollars with the trend; what declines is its relative premium over fair value, and that premium stops declining at the last measured cycle-peak gap, about 15% above fair value. Retrospective calibration, not guaranteed support or resistance.
Full educational module - Trinity subscribers
The detailed educational module for Power Law Time Contours ( what it is, how to read it, key zones, what to observe, historical context and common misinterpretations) is reserved to authenticated Trinity Insights subscribers. Trinity uses the Education-Driven Chart Design (EDCD) methodology to write each module bilingual FR/EN, atemporal, and AMF-compliant.
Access programmatically via Trinity MCP
Trinity subscribers can query this chart programmatically from Claude Desktop, Cursor, ChatGPT, Gemini, Windsurf, VS Code Copilot or Perplexity using the Trinity Insights MCP Server. The MCP scope reflects exactly your subscription tier.
{
"tool": "get_chart_value",
"metric_id": "cycle-power-law-time-contours",
"timeframe": "1y",
"language": "en"
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Trinity Insights is an analytical tool for Bitcoin on-chain and macro-intelligence, intended for educational and informational purposes only. Content provided does not constitute investment advice, personalized recommendation, or invitation to buy or sell any asset. Trinity Insights is not a registered Financial Investment Advisor (CIF) under the French Monetary and Financial Code, not a registered or licensed Digital Asset Service Provider (PSAN) under the French AMF, and not a Crypto-Asset Service Provider (CASP) under MiCA Regulation (EU) 2023/1114. Investing in crypto-assets carries a risk of capital loss, which may be total. Past performance does not guarantee future results. Trinity Insights does not guarantee the accuracy, completeness, or relevance of the data presented. Always do your own research before making any decision.