NWA TOOLKIT v5.4 — OPERATIONAL
SYSTEMS ACTIVE
Initializing…
NWA Risk Proxy

AI Market Risk
Toolkit

NWA market-risk dashboard for AI sector monitoring, contagion proxy analysis, and portfolio scenario planning

68
12
Q4 '25
NWA AI Bubble Index™
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Calculating NWA proxy

Market Dashboard

Market Risk Status
LOADING —

Risk Playbook (not advice)

Quick Stats

Market Snapshot
AI Leaders
Risk Analytics
Protocol Status
Macro Stress Proxy
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VIX-derived, not yield curve
DXY Index
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USD Strength
Fear & Greed Proxy
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VIX-derived
S&P 500
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NASDAQ-100 vs NVDA (30 Days)

Early Warning Signals

Eight NWA proxy signals + Protocol triggers (T1–T5). Data may be delayed, stale, or partially unavailable.

Latest Alerts

Company Intelligence

68 companies analyzed through the lens of bubble risk. Each card includes protection protocols.

NVIDIA DCF

Interactive discounted cash flow model with bubble-adjusted fair value. Data: FY2025 consensus.

Inputs

8.5%
25%
2.5%
36%

Scenarios

Current Price—
Bull Case Fair Value—
Base Case Fair Value—
Bear Case Fair Value—
Bubble-Adjusted FV—
Premium / Discount—
Model Signal—
Fair Value Range

Analysis

Calculating…

AI News Feed

NWA intelligence aggregation with sentiment analysis.

Positive: —
Negative: —
Neutral: —

AI Exposure Stress Test

Enter your holdings to calculate total AI exposure and model drawdown scenarios.

Your Portfolio
0%
Total AI Exposure
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Soft Landing
AI Sector: −20%
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Hard Correction
AI Sector: −40%
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Dot-com Replay
AI Sector: −70%
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Historical Overlay

Current AI cycle mapped against the Dot-com bubble (1995–2002). A time-indexed visual comparison built on static illustrative series — context, not a backtest.

Month 38
Current cycle position
Oct 1998
Dot-com equivalent
~18 months
Est. runway to structural risk

Methodology

The NWA AI Bubble Index™ is composed of 12 quantitative factors with fixed weights. The index is a heuristic proxy — weights are static parameters, not fitted to historical data and not re-estimated from live data.

Limitations. The index is a proxy, not a valuation model. Sentiment is keyword-based, not NLP; event flags are manual and subjective by design; NWA data-layer quotes may be delayed or stale (stale data is labelled); VIX and DXY serve as coarse macro proxies. Outputs are informational and are not calibrated for out-of-sample prediction.