66
AI Index
AI Fear & Greed Index
Greed
Hourly AI sentiment gauge built from market momentum, macro pressure, adoption, compute costs, capex, attention, news sentiment, ecosystem breadth, capital flows, technical breadth, options crowding, catalysts, and cross-asset pressure.
Refresh cadence
Hourly
Next Jun 8, 2026, 11:14 AM UTC
Public API
/api/ai-fear-greed/
v1.4 · CORS enabled
Weighted signals
13 components
techi-ai-fng-v1.5
Data sources
31 feeds
Market, macro, attention, AI data
Score chart
AI Sentiment Score Trend
The chart uses the index score-history tape exposed by the AI pulse data. Until stored hourly snapshots are retained, the trend is model-implied from component direction and dispersion, not a historical market close.
Current
66
Trend
+6.5 pts
24h
24H score tape
Model-implied pulse from current component direction; not a stored market close.
7d
7D bias
Model-implied pulse from current component direction; not a stored market close.
30d
30D regime
Model-implied pulse from current component direction; not a stored market close.
Alpha Vantage NEWS_SENTIMENT
Market News & Sentiment Trending
TECHi reads Alpha Vantage NEWS_SENTIMENT for technology market headlines, then uses the returned article topics, ticker sentiment, and headline tone inside the AI News Sentiment component.
News score
50/100
headline tone
Scored articles
Refreshing
sentiment coverage
Average tone
Refreshing
raw sentiment
Latest article
Refreshing
provider feed
News sentiment is refreshing for the next provider window. TECHi is not inventing article-level sentiment while the feed is unavailable.
AI Score Verification: SHA-256 Audit Hashes
The hash covers the score, classification, methodology version, component weights, input values, timestamps, and source URLs. It is ready to anchor on Polygon or Ethereum, but the page only marks an update as on-chain after the API includes a network, transaction hash, and explorer link.
Snapshot hash
bcb758c6ede4601078359b3f488186e9f91d72830818a4a81c496e52a656960f
Step 1
Build canonical JSON payload
Step 2
Hash payload with SHA-256
Step 3
Submit hash to chain worker
Source quality
66/100
Medium confidence
Input coverage
50/50
linked inputs
Score band
57-75
operational band
Component weights
100/100
Sourced inputs
100%
Live or dated inputs
8% current
Refreshing feeds
4
Backtest status
Hourly stored snapshots are available for near-term stability checks. Forward-outcome reports can now compare score regimes against later AI-basket returns.
Component weights
Confirms every active component adds up to a complete 100-point model.
Sourced inputs
Confirms each displayed input has a raw source or internal methodology link.
Live or dated inputs
Measures how much of the model is backed by fresh feeds or explicit print dates.
Refreshing feeds
Counts provider inputs that are refreshing, quota-limited, or waiting for expanded coverage.
Index Methodology & Data Trust
TECHi treats the AI Fear & Greed Index as a sourced market-sentiment benchmark: reproducible, timestamped, source-linked, and validated before predictive claims are made.
The index does not claim perfect accuracy or investment certainty. It reports a risk-appetite regime and lowers confidence when feeds are stale, unavailable, or not yet backtested.
Every displayed input must link to a raw source, public methodology page, or TECHi route.
Unavailable provider data is labeled as refreshing or source-limited, not silently invented.
Methodology changes require a version bump and visible changelog entry.
Predictive language stays withheld until stored snapshots are tested out of sample.
On-chain status is shown only after a network and explorer transaction are recorded.
Public trust scorecard
Public Trust Scorecard & Data Freshness
Source coverage
live100/100
50/50 inputs carry a source or methodology link.
Public source cards, component inputs, and JSON API source URLs.
Freshness labeling
review52/100
8% current; 4 refreshing inputs are disclosed.
Live, dated, documented, and refreshing badges on the page and API.
Deterministic hash
live100/100
SHA-256 snapshot hash bcb758c6ede4...a656960f is generated from canonical JSON.
Verification payload and snapshot hash are exposed in the API.
Public API and embed
The score can be consumed as JSON or embedded as a widget.
100/100
Backtest discipline
240 stored snapshots across 195 hours.
55/100
Chain anchoring
The hash is chain-ready but not claimed as recorded until a transaction is present.
72/100
AI Fear & Greed Index Live Methodology
Published score is a 100-point weighted average of every production AI Pulse factor: public AI-market momentum, liquidity and macro indicators, adoption and cycle stage, compute costs, capex, reader attention, news sentiment, ecosystem breadth, AI money-flow breadth, technical breadth, options stress and crowding, catalyst and weekly tape, and cross-asset pressure. Component scores are normalized to 0-100, source freshness/confidence is scored separately, and missing feeds are held at neutral rather than invented.
The public page and API read the latest stored hourly snapshot. The cron refresh does the heavy universe, news, technical, and options work off the reader request path. Underlying sources may update intraday, monthly, quarterly, annually, or on TECHi editorial refreshes.
0-24
Extreme Fear
Capital is pulling back and AI risk appetite is stressed.
25-39
Fear
Defensive positioning dominates the AI tape.
40-59
Neutral
Signals are mixed; no clear fear or greed regime.
60-74
Greed
Capital, adoption, or attention are expanding.
75-100
Extreme Greed
Multiple AI-cycle signals are running hot at once.
Global Liquidity (M2)
$101T
Top-four central bank M2 estimate, USD-converted; methodology varies by source.
TECHi AI Coverage Mkt Cap
$22.6T
Documented placeholder for the TECHi-covered AI company basket; live market-cap sampling runs under a strict homepage/API deadline and is disclosed when enough providers respond.
TECHi AI Adoption Index
38/100
Proprietary weekly scenario model; not a market statistic.
Compute $/Mtok
$0.04
Frontier-class output token price (1500x cheaper since 2020).
Frontier Models
20+
Active/recent GPT-class production models; count depends on frontier threshold.
AI Job Postings
+38%
YoY growth in AI/ML role openings.
Methodology weights
Component Weights: 13 AI-Cycle Signals
Market · 12%
AI Market Momentum
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 122 company tickers, ETFs excluded; live coverage is disclosed in the input context.
TECHi AI Coverage Mkt Cap
$22.6T
Documented placeholder for the TECHi-covered AI company basket; live market-cap sampling runs under a strict homepage/API deadline and is disclosed when enough providers respond.
TECHi AI coverage basketMacro · 13%
Liquidity & Macro Pressure
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.
Global Liquidity (M2)
$101T
Top-four central bank M2 estimate, USD-converted; methodology varies by source.
StreetStats / central-bank M2Adoption · 11%
AI Adoption
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.
TECHi AI Adoption Index
38/100
Proprietary weekly scenario model; not a market statistic.
TECHi methodologyCompute · 9%
Compute Deflation
Lower frontier token costs expand the set of AI apps that can work economically, which is a greed signal for the AI stack.
Treats 1M, 1Y, and AI-era frontier output-token cost declines as positive. Falling cost equals higher component score.
Compute $/Mtok
$0.04
Frontier-class output token price (1500x cheaper since 2020).
OpenAI / Anthropic / Google pricingCapex · 10%
Capital & Capex
AI capex indicates how aggressively hyperscalers and strategic buyers are turning belief into balance-sheet commitments.
Uses hyperscaler capex guidance and analyst tallies. Larger YoY capex expansion pushes the component toward greed.
2026 AI Capex
$650-725B
Hyperscaler 2026 capex guidance and analyst tallies after Q1 updates.
Axios / company guidanceAttention · 9%
Attention & Demand
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.
News · 8%
AI News Sentiment
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 122 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.
AI news sentiment feed
Refreshing
Refreshing provider sentiment coverage across 122 TECHi-covered AI company tickers.
TECHi quote-page news sentimentEcosystem · 7%
Ecosystem Breadth
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.
Frontier Models
20+
Active/recent GPT-class production models; count depends on frontier threshold.
Epoch AI model databaseAI Job Postings
+38%
YoY growth in AI/ML role openings.
Stanford AI Index / labor-market trackersCrypto Adoption
7-10%
Global ownership estimates vary materially by survey and wallet methodology.
Crypto.com / TRM rangeFlow · 6%
Capital Flow Breadth
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.
Technicals · 6%
Technical Breadth
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 122-ticker AI company universe in the hourly snapshot worker. It counts constructive, neutral, and defensive tickers, then blends average technical score, breadth, and momentum.
AI technical breadth
Refreshing
Refreshing the hourly snapshot worker; public requests do not fan out across quote technical feeds.
TECHi Signal technical breadthOptions · 3%
Options Stress & Crowding
Options flow separates healthy risk appetite from fragile crowded greed in the most liquid AI tickers.
Uses put/call ratios plus volume/open-interest pressure from the options-flow provider. Low put/call and elevated volume/OI lift greed but apply a crowding penalty when positioning looks too one-sided.
AI options crowding
Refreshing
Refreshing options-flow coverage for the most liquid AI tickers; unavailable flow is held neutral.
TECHi options flowCatalysts · 4%
Catalyst & Weekly Tape
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.
Assets · 2%
Cross-Asset Pressure
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.
Developer Access: Public API & Embed Widget
The endpoint is public, CORS-enabled, and cached for one hour. It includes a Crypto Fear & Greed-style data array plus the full TECHi component model, inputs, economic indicators, source links, and quote-attention data.
<iframe title="TECHi AI Fear & Greed Index" src="https://www.techi.com/embed/ai-fear-greed/" width="360" height="260" style="border:0;max-width:100%;"></iframe>{
"endpoint": "/api/ai-fear-greed/",
"value": 66,
"value_classification": "Greed",
"snapshot_hash": "bcb758c6ede4...a656960f",
"anchor_status": "not-recorded",
"updated_at": "2026-06-08T10:14:03.452Z",
"next_update_at": "2026-06-08T11:14:03.452Z",
"refresh_cadence_seconds": 3600,
"data_quality": {
"score": 66,
"label": "Medium",
"refreshing_inputs": 4
},
"components": [
{
"id": "ai-market-momentum",
"weight": 12,
"score": 50,
"signal": "Mixed"
},
{
"id": "liquidity-and-macro",
"weight": 13,
"score": 56.1,
"signal": "Mixed"
},
{
"id": "ai-adoption",
"weight": 11,
"score": 79.4,
"signal": "Constructive"
},
{
"id": "compute-deflation",
"weight": 9,
"score": 100,
"signal": "Very hot"
},
{
"id": "capital-and-capex",
"weight": 10,
"score": 86.4,
"signal": "Very hot"
},
{
"id": "attention-and-demand",
"weight": 9,
"score": 56.5,
"signal": "Mixed"
},
{
"id": "ai-news-sentiment",
"weight": 8,
"score": 50,
"signal": "Source refreshing"
},
{
"id": "ecosystem-breadth",
"weight": 7,
"score": 63.5,
"signal": "Mixed"
},
{
"id": "capital-flow-breadth",
"weight": 6,
"score": 80.6,
"signal": "Very hot"
},
{
"id": "technical-breadth",
"weight": 6,
"score": 50,
"signal": "Source refreshing"
},
{
"id": "options-crowding",
"weight": 3,
"score": 50,
"signal": "Source refreshing"
},
{
"id": "catalyst-and-tape",
"weight": 4,
"score": 65.5,
"signal": "Constructive"
},
{
"id": "cross-asset-pressure",
"weight": 2,
"score": 57.3,
"signal": "Mixed"
}
]
}Blockchain Anchoring & Tamper-Evident Security
Every score already has a deterministic SHA-256 snapshot hash. On-chain status remains chain-ready until an anchoring worker records that hash and returns a network, transaction hash, and explorer URL.
Event signature
event AiFearGreedSnapshot(bytes32 indexed snapshotHash, string methodologyVersion, uint256 score, uint256 timestamp);Generate canonical JSON for the score snapshot.
Compute SHA-256 hash from the canonical payload.
Persist the full snapshot JSON in TECHi storage and optionally IPFS or Arweave.
Submit only the hash, methodology version, and snapshot timestamp to Polygon or Ethereum.
Write network, transaction hash, and explorer URL back into the API response after anchoring.
Hash payload and storage
Independent Verification & Hash Payload Storage
Hash includes
Score and classification
Methodology version
Component weights and component scores
Input labels, values, timestamps, freshness states, and source URLs
Generated timestamp and API version
API fields
verification.snapshotHashverification.anchor.statusverification.anchor.networkverification.anchor.transactionHashverification.anchor.explorerHrefAccuracy roadmap
Accuracy Roadmap: Future AI Market Signals
No sentiment index can guarantee perfect accuracy. TECHi improves the signal by adding independent, source-backed inputs, testing them against future outcomes, and lowering confidence when feeds are stale or unavailable.
Market
AI basket momentum
liveReturns, breadth, realized volatility, and concentration across public AI leaders.
Shows whether public-market capital is chasing or fading AI exposure.
TECHi quote stack / market-data providers
Hourly / daily
Options stress and crowding
liveImplied volatility, put/call skew, options volume, and realized volatility.
Separates healthy momentum from crowded, fragile greed.
TECHi options flow
Intraday
Technical breadth
liveParticipation, trend strength, momentum, and risk across TECHi-covered AI companies.
Shows whether AI strength is broad-based or only concentrated in a few leaders.
TECHi Signal technical model
Hourly snapshot
Authority engine
TECHi Authority Engine & Reporting Cadence
Operating cadence
Hourly
Refresh volatile inputs, source statuses, score band, and API hash.
Updated timestamp, next refresh time, and snapshot hash.
Weekly
Publish a short AI sentiment note explaining what moved the score.
One chart, top component changes, and source links.
Monthly
Publish a validation report comparing prior scores with later AI-basket outcomes.
Forward returns, realized volatility, funding events, and traffic deltas.
Quarterly
Review component weights after earnings season and document methodology changes.
Methodology version bump and public changelog.
Research
Validation reports
Compare index regimes against 7/30/90-day AI basket returns, drawdowns, volatility, funding, and TECHi traffic.
Methodology notes
Explain formula changes, source additions, missing-data handling, and why a component was accepted or rejected.
Event studies
Annotate GPT launches, chip export controls, major earnings, model incidents, and funding booms on the score chart.
Distribution
Embeds
Offer a no-login widget for publishers, newsletters, brokers, funds, and AI builders.
API docs
Publish examples for JSON, webhooks, and snapshot-hash verification.
Newsletter and X
Push weekly score moves with one reason, one chart, and one source trail.
Governance
Public changelog
Log every component, weight, source, and formula change by methodology version.
Expert review
Invite analysts, builders, and data providers to challenge sources and propose new factors.
Editorial veto
Allow community input, but keep final methodology control with TECHi editorial and data standards.
Practical use
Practical Use Cases: Investors, Founders & Developers
Investors
Use the score as a risk-appetite dashboard before drilling into AI quote pages, earnings, options, and peer comparisons.
Founders
Read funding climate, compute-cost pressure, enterprise adoption, and attention shifts without treating price action as the only signal.
Journalists
Use the source trail, chart, and hash payload to explain why the AI cycle moved without relying on unsourced sentiment claims.
Developers
Embed the widget, call the JSON API, or verify snapshot hashes when building dashboards and AI-market monitoring workflows.
Evidence trail
Auditable Sources & Data Providers
AI Market Momentum
TECHi AI coverage basket
Hourly page/API refresh; source cadence varies
1 documentedLiquidity & Macro Pressure
StreetStats / central-bank M2
Hourly page/API refresh; source cadence varies
1 documentedLiquidity & Macro Pressure · Catalyst & Weekly Tape
Alpha Vantage
Mixed source cadence
13 documentedAI Adoption
TECHi methodology
Hourly page/API refresh; source cadence varies
1 documentedAI Adoption · Capital Flow Breadth
TECHi adoption clock
Homepage AI Pulse refresh
7 documentedCompute Deflation
OpenAI / Anthropic / Google pricing
Hourly page/API refresh; source cadence varies
1 documentedCapital & Capex · Catalyst & Weekly Tape
Axios / company guidance
Weekly editorial/data refresh
2 documentedAttention & Demand
TECHi curated fallback
Editorial fallback
1 documentedAttention & Demand
TECHi curated fallback
Editorial fallback
1 documentedAttention & Demand
TECHi curated fallback
Editorial fallback
1 documentedAttention & Demand
TECHi curated fallback
Editorial fallback
1 documentedAttention & Demand
TECHi curated fallback
Editorial fallback
1 documentedAI News Sentiment
TECHi quote-page news sentiment
Hourly when provider coverage is available
Source refreshingEcosystem Breadth
Epoch AI model database
Hourly page/API refresh; source cadence varies
1 documentedEcosystem Breadth
Stanford AI Index / labor-market trackers
Hourly page/API refresh; source cadence varies
1 documentedEcosystem Breadth
Crypto.com / TRM range
Hourly page/API refresh; source cadence varies
1 documentedEcosystem Breadth
TECHi Learn
Payload course cache; five-minute homepage utility refresh
1 documentedEcosystem Breadth
TECHi analyst desk
Payload analyst cache; five-minute homepage utility refresh
1 documentedEcosystem Breadth
TECHi AI Power List
Payload AI directory refresh
1 documentedTechnical Breadth
TECHi Signal technical breadth
Hourly snapshot worker
Source refreshingOptions Stress & Crowding
TECHi options flow
Hourly snapshot worker
Source refreshingCatalyst & Weekly Tape
Alpha Vantage earnings
Earnings calendar refresh
1/1 currentCatalyst & Weekly Tape
Alpha Vantage earnings
Earnings calendar refresh
1/1 currentCatalyst & Weekly Tape
Alpha Vantage earnings
Earnings calendar refresh
1/1 currentCatalyst & Weekly Tape
Alpha Vantage earnings
Earnings calendar refresh
1/1 currentCatalyst & Weekly Tape
FinanceCharts / Yahoo close data
Weekly editorial/data refresh
1 documentedCatalyst & Weekly Tape
Strategy 8-K
Weekly editorial/data refresh
1 documentedCross-Asset Pressure
TECHi price dashboard
Page-specific market-data refresh
1 documentedCross-Asset Pressure
TECHi price dashboard
Page-specific market-data refresh
1 documentedCross-Asset Pressure
TECHi price dashboard
Page-specific market-data refresh
1 documentedCross-Asset Pressure
TECHi price dashboard
Page-specific market-data refresh
1 documentedAlpha Vantage Economic Indicators
AI Market Macro Pressure Indicators
Real GDP
$5.9T
GDP / Capita
$70.5K
10Y Treasury
4.48%
Fed Funds
3.63%
Inflation
2.95%
Retail Sales
$654.2B
Durables
$347.0B
Unemployment
4.30%
Payrolls
159.5M
What the score reads
A 0-100 market mood signal for AI: fear means capital is pulling back or macro pressure is rising; greed means capital, attention, and adoption are accelerating.
Why it is not crypto
Crypto greed indexes are mostly price and volatility loops. This page adds AI capex, compute prices, adoption data, quote demand, and economic indicators.
How to use it
Treat it as a dashboard, not investment advice. Extreme readings are context for quote research, earnings pages, and TECHi analyst work.