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Weighted average interest rate on Total Interest-bearing Debt (%) combined with total monthly interest expense on the public debt (USD). Tracks the fiscal cost of the US debt stock and its trajectory as Fed policy tightens or eases. A rising debt service burden is a structural macro headwind that conditions fiscal space, crowds out discretionary spending, and ultimately shapes the liquidity backdrop for BTC.
The detailed educational module for US Debt Service Cost vs BTC — 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.
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": "us-debt-service-cost-vs-btc",
"timeframe": "1y",
"language": "en"
}Looking for the general definition of an industry-standard term (MVRV, SOPR, NUPL, halving, hash rate, etc.) ? See the public Trinity glossary — concept definitions are atemporal and open access. Chart-specific educational modules remain subscriber-only.
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. Past performance is not indicative of 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.