AI Fear & Greed Index

The TECHi AI coverage basket shows whether public-market capital is chasing or fading broad AI exposure beyond the Mag-7.

Uses market-cap weighted momentum across TECHi-covered AI company tickers when enough providers respond. The full universe is 135 company tickers, ETFs excluded; live coverage is disclosed in the input context.

AI greed is easier to sustain when liquidity is expanding and inflation/rate pressure is not squeezing duration assets.

Blends global liquidity change with every Alpha Vantage macro endpoint wired into the panel: GDP, GDP per capita, Treasury yields, Fed funds, CPI, inflation, retail sales, durable goods, unemployment, and payrolls.

Adoption measures whether AI is moving from narrative into real software, workflows, and demand.

Uses TECHi adoption-index changes across 1M, 1Y, and the AI-era baseline, then blends the current adoption-clock stage progress so the cycle model is counted in the score.

Lower frontier token costs expand the set of AI apps that can work economically, which is a greed signal for the AI stack.

Transforms 1M, 1Y, and AI-era frontier output-token cost changes with ln(baseline/current), caps each horizon, then averages them. Falling cost remains an expansion signal, but large historical deflation cannot pin the component at an outlier.

Reader demand, quote-page traffic, and price-dashboard usage show where market attention is concentrating right now.

Uses Google Analytics quote-page demand when available, curated fallback watchlists when analytics is unavailable, and AI ticker concentration.

Headline tone checks whether AI coverage is confirming the tape or warning that the market narrative is weakening.

Prefers deduped quote-page news sentiment from the TECHi provider registry across 135 covered AI company tickers. Alpha Vantage NEWS_SENTIMENT is only a fallback when quote-page sentiment cannot return a scored sample. Missing coverage is held at neutral until a scored feed is available.

Ecosystem breadth checks whether AI strength is spreading beyond the headline stocks into models, labor demand, builders, analysts, and leaders.

Blends frontier-model count, AI job-posting growth, crypto/risk-technology adoption, TECHi Learn coverage, analyst coverage depth, and AI Power List leader signal.

The money-flow heatmap shows whether AI capital is concentrated in one pocket or spreading across compute, power, labs, apps, tools, and robotics.

Uses the AI money-flow heatmap segment percentages. Higher breadth and lower concentration raise the score; one-segment crowding reduces it.

Technical breadth checks whether the AI universe is participating or only a handful of leaders are holding up the tape.

Runs the TECHi Signal technical metric across the 135-ticker AI company universe in the hourly snapshot worker. It counts constructive, neutral, and defensive tickers, then blends average technical score, breadth, and momentum.

Upcoming AI earnings, macro prints, and weekly delta tape capture the near-term events that can confirm or challenge the current regime.

Scores upcoming earnings density only for TECHi-covered AI company tickers, EPS-estimate coverage, live macro-print availability, and the direction of TECHi weekly delta items.

Gold, oil, gas, bitcoin, inflation, rates, and retail demand are checked as external pressure gauges around AI risk appetite.

Counts the live TECHi price-dashboard coverage and blends the macro-pressure endpoints most relevant to cross-asset risk. Weight remains low until dedicated commodity and crypto deltas are wired directly into this endpoint.