19:["$","div",null,{"className":"prose prose-invert max-w-none prose-headings:font-semibold prose-headings:tracking-tight prose-h1:text-4xl prose-h1:mb-2 prose-h2:text-2xl prose-h2:mb-2 prose-h3:text-lg prose-h3:mb-2 prose-p:text-muted-foreground prose-li:text-muted-foreground prose-code:bg-muted prose-code:text-foreground prose-code:px-1 prose-code:py-0.5 prose-code:rounded-sm prose-code:text-sm prose-code:before:content-none prose-code:after:content-none prose-pre:bg-muted prose-pre:text-foreground prose-pre:border prose-pre:border-border prose-pre:rounded-md [&_table]:!border-[color:var(--border)] [&_th]:!border-[color:var(--border)] [&_td]:!border-[color:var(--border)]","dangerouslySetInnerHTML":{"__html":"

technicals-regime

Summarize trend, volatility, and liquidity regime from TA time series.

Output contract

Return JSON keys:

context_version
as_of_utc
symbol
freshness_seconds
source_count
quality_score
payload.regime
citations

Rules

Use bounded numeric ranges when possible.
Emit explicit stale flags when data exceeds freshness SLO.

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