NVDA PRICES Live 2026 - Daily AI Feature Feed (Updated Weekly)

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2026

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NVDA PRICES Live 2026 - Daily AI Feature Feed (Updated Weekly) Dataset on Opendatabay data marketplace

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About

NVIDIA NVDA Live 2026 — Daily AI Feature Feed (Updated Weekly)
Weekly-updated continuation of the NVIDIA Historical Bundle. Same 94-column feature matrix — price action, technical indicators, AI sentiment from 100+ daily NVIDIA/AI industry news sources, cross-asset correlations, earnings calendar, macro indicators, options-derived signals — refreshed every week with the latest trading days. Subscribe to keep your ML models and backtests current with fresh 2026 data. Seamless continuation from the 2020-2025 historical dataset.
NVIDIA enters 2026 at the center of the AI infrastructure buildout — Blackwell GPU ramp, sovereign AI initiatives, hyperscaler capex commitments, and evolving China export policy are all driving unprecedented sentiment volatility. Weekly updates capture these narrative shifts as they happen.

What You Get

  • Same 94-column feature matrix as the historical bundle
  • Updated every week with the latest trading days
  • Download the latest CSV anytime during your subscription
  • Currently growing weekly from January 2, 2026

Feature Groups (94 columns)

Metadata (3) · Price Action (11) · Technical Indicators (22) · AI Sentiment (14) · Sentiment x Price (3) · News Volume (5) · Cross-Asset (12) · Volatility Regime (2) · Sentiment x Volatility (1) · Macro (6) · Options (2) · Earnings (2) · Social Attention (4) · Forward Labels (7)

Why NVIDIA in 2026

  • Blackwell ramp — B100/B200 production scale-up is the key revenue driver for 2026; sentiment tracks order signals and supply chain progress weekly
  • Hyperscaler capex cycle — Microsoft, Meta, Google, and Amazon AI spending plans directly set NVDA revenue expectations; our AI monitors capex narrative shifts
  • Sovereign AI demand — government AI infrastructure programs (UAE, Saudi Arabia, India, EU) are a new demand vector; news coverage captures deal flow sentiment
  • China export policy evolution — ongoing regulatory changes create periodic sentiment shocks; real-time tracking matters for position management
  • Valuation sensitivity — at $3T+ market cap, NVDA trades on narrative momentum; sentiment features capture the consensus shifts that drive multi-percent daily moves

Collection Methodology

Same Herodote AI pipeline as the historical bundle:
  1. GDELT provides 100+ NVIDIA-related articles daily from global financial media
  2. Google Gemini AI scores overall market sentiment and NVDA-specific sentiment (-1.0 to +1.0)
  3. Yahoo Finance provides NVDA prices, S&P 100 cross-asset data, sector returns, and macro indicators
  4. Feature engineering computes 91 derived features using numpy
  5. Automated quality audit runs on every weekly export

Complete Column Reference

# | Column | Type | Group | Description
---|--------|------|-------|------------
1 | date | date | Metadata | Trading date (YYYY-MM-DD)
2 | year | int | Metadata | Calendar year
3 | day_of_week | string | Metadata | Day name (Monday-Friday)
4 | price_close | float | Price Action | Closing price (USD)
5 | price_return_1d | float | Price Action | 1-day return (%)
6 | price_return_3d | float | Price Action | 3-day return (%)
7 | price_return_5d | float | Price Action | 5-day return (%)
8 | price_return_10d | float | Price Action | 10-day return (%)
9 | price_return_20d | float | Price Action | 20-day return (%)
10 | price_log_return_1d | float | Price Action | 1-day log return
11 | price_dist_high_10d | float | Price Action | Distance from 10-day high (%)
12 | price_dist_high_20d | float | Price Action | Distance from 20-day high (%)
13 | price_dist_low_10d | float | Price Action | Distance from 10-day low (%)
14 | price_dist_low_20d | float | Price Action | Distance from 20-day low (%)
15 | tech_rsi_14 | float | Technical | RSI 14-day (0-100, >70 overbought, <30 oversold)
16 | tech_sma_5 | float | Technical | 5-day Simple Moving Average (USD)
17 | tech_sma_20 | float | Technical | 20-day Simple Moving Average (USD)
18 | tech_sma_5_dist | float | Technical | Distance from 5-day SMA (%)
19 | tech_sma_20_dist | float | Technical | Distance from 20-day SMA (%)
20 | tech_ema_20 | float | Technical | 20-day Exponential Moving Average (USD)
21 | tech_ema_20_dist | float | Technical | Distance from 20-day EMA (%)
22 | tech_bollinger_pos | float | Technical | Position within Bollinger Bands (0=lower, 0.5=middle, 1=upper)
23 | tech_bollinger_bw | float | Technical | Bollinger Band width (%)
24 | tech_bollinger_squeeze | float | Technical | Squeeze indicator (1 = bandwidth in bottom 10th percentile, upcoming breakout)
25 | tech_macd | float | Technical | MACD line
26 | tech_macd_signal | float | Technical | MACD signal line
27 | tech_macd_hist | float | Technical | MACD histogram (positive = bullish momentum)
28 | tech_adx | float | Technical | ADX trend strength (>25 trending, <20 ranging)
29 | tech_roc_5 | float | Technical | 5-day Rate of Change (%)
30 | tech_roc_10 | float | Technical | 10-day Rate of Change (%)
31 | tech_roc_20 | float | Technical | 20-day Rate of Change (%)
32 | tech_streak | int | Technical | Consecutive up/down days (positive = up streak)
33 | tech_vol_5d | float | Technical | 5-day realized volatility (annualized %)
34 | tech_vol_10d | float | Technical | 10-day realized volatility (%)
35 | tech_vol_20d | float | Technical | 20-day realized volatility (%)
36 | tech_momentum_quality | float | Technical | Momentum consistency score (ROC adjusted for volatility)
37 | sent_overall | float | AI Sentiment | Overall market sentiment (-1.0 bearish to +1.0 bullish)
38 | sent_nvda | float | AI Sentiment | NVIDIA-specific sentiment (-1.0 bearish to +1.0 bullish)
39 | sent_spread | float | AI Sentiment | Ticker minus overall sentiment (positive = stock more bullish than market)
40 | sent_overall_ma3 | float | AI Sentiment | 3-day MA of overall sentiment
41 | sent_nvda_ma3 | float | AI Sentiment | 3-day MA of nvda sentiment
42 | sent_overall_ma5 | float | AI Sentiment | 5-day MA of overall sentiment
43 | sent_nvda_ma5 | float | AI Sentiment | 5-day MA of nvda sentiment
44 | sent_overall_mom3 | float | AI Sentiment | 3-day overall sentiment momentum
45 | sent_nvda_mom3 | float | AI Sentiment | 3-day nvda sentiment momentum
46 | sent_overall_mom5 | float | AI Sentiment | 5-day overall sentiment momentum
47 | sent_nvda_mom5 | float | AI Sentiment | 5-day nvda sentiment momentum
48 | sent_overall_vol5 | float | AI Sentiment | 5-day overall sentiment volatility
49 | sent_overall_vol10 | float | AI Sentiment | 10-day overall sentiment volatility
50 | sent_nvda_vol5 | float | AI Sentiment | 5-day nvda sentiment volatility
51 | sent_price_corr_10d | float | Sent x Price | 10-day rolling sentiment-price correlation
52 | sent_price_corr_20d | float | Sent x Price | 20-day rolling sentiment-price correlation
53 | sent_price_diverge | float | Sent x Price | Divergence flag (1 when sentiment and price disagree 3+ consecutive days)
54 | news_count | int | News Volume | Articles collected that day
55 | news_count_ma20 | float | News Volume | 20-day article count moving average
56 | news_count_zscore | float | News Volume | Z-score vs 20-day window (>2 = unusual volume)
57 | news_count_mom5 | float | News Volume | 5-day article count momentum
58 | news_spike | float | News Volume | Binary flag for abnormal news volume (count > 2x MA)
59 | mkt_sp100_breadth | float | Cross-Asset | S&P 100 market breadth (% of stocks up, 0-100)
60 | mkt_sp100_return | float | Cross-Asset | S&P 100 equal-weight return (%)
61 | mkt_dispersion | float | Cross-Asset | Cross-sectional return dispersion (%)
62 | mkt_tech_return | float | Cross-Asset | Tech sector return (%)
63 | mkt_finance_return | float | Cross-Asset | Finance sector return (%)
64 | mkt_health_return | float | Cross-Asset | Healthcare sector return (%)
65 | mkt_energy_return | float | Cross-Asset | Energy sector return (%)
66 | mkt_consumer_return | float | Cross-Asset | Consumer sector return (%)
67 | mkt_industrial_return | float | Cross-Asset | Industrial sector return (%)
68 | mkt_nvda_vs_tech | float | Cross-Asset | NVIDIA minus tech sector return (%)
69 | mkt_nvda_vs_market | float | Cross-Asset | NVIDIA minus S&P 100 return (%)
70 | mkt_nvda_beta_20d | float | Cross-Asset | 20-day rolling beta vs S&P 100
71 | vol_of_vol_20d | float | Vol Regime | Volatility of volatility (20-day rolling)
72 | vol_regime | int | Vol Regime | Regime: 0=low, 1=normal, 2=high, 3=extreme
73 | sent_vol_regime_interaction | float | Interaction | NVIDIA sentiment x volatility regime (amplified signal in high-vol periods)
74 | macro_vix | float | Macro | VIX level (CBOE Volatility Index)
75 | macro_vix_change_1d | float | Macro | 1-day VIX percentage change
76 | macro_vix_ma5 | float | Macro | VIX 5-day moving average
77 | macro_yield_spread | float | Macro | 10Y minus short-term Treasury yield spread (%)
78 | macro_credit_spread | float | Macro | High-yield credit spread proxy (LQD/HYG ratio)
79 | macro_dxy_change | float | Macro | US Dollar Index 1-day percentage change (%)
80 | options_iv_atm | float | Options | ATM implied volatility (%) via VIX x beta approximation
81 | options_iv_rv_spread | float | Options | IV minus realized vol (positive = fear premium)
82 | earnings_days_to_next | float | Earnings | Days to next quarterly earnings (0 = earnings day, capped at 90)
83 | earnings_is_earnings_day | float | Earnings | Binary flag: 1 on earnings day, 0 otherwise
84 | attention_wikipedia_views | float | Social Attention | Daily Wikipedia pageviews (1-day lagged)
85 | attention_wikipedia_zscore | float | Social Attention | Wikipedia views z-score (>2 = unusual interest)
86 | attention_google_trends | float | Social Attention | Google Trends index (0-100)
87 | attention_google_trends_change | float | Social Attention | Google Trends change vs prior period
88 | label_return_1d | float | Forward Labels | Next-day return (%)
89 | label_dir_1d | string | Forward Labels | Next-day direction (UP/DOWN/FLAT)
90 | label_return_3d | float | Forward Labels | 3-day forward return (%)
91 | label_dir_3d | string | Forward Labels | 3-day forward direction
92 | label_return_5d | float | Forward Labels | 5-day forward return (%)
93 | label_dir_5d | string | Forward Labels | 5-day forward direction
94 | label_flat_1d | float | Forward Labels | Flat flag (1 if next-day |return| < 0.3%)

Usage

  • Live ML Models: Feed fresh weekly features into production NVDA prediction models
  • Earnings Preparation: Track pre-earnings sentiment buildup and news volume acceleration
  • AI Sector Barometer: NVDA sentiment as a leading indicator for broader AI infrastructure plays
  • Risk Management: Monitor sentiment regime shifts for position sizing and stop-loss adjustment
  • Continuing Backtests: Extend your 2020-2025 analysis into 2026 with identical feature schema

Pairs Well With

NVIDIA NVDA Historical Bundle (2020-2025) — combine both for 6+ years of continuous data.

License

CUSTOM — Single User Commercial License. Same terms as the historical bundle. Contact contact@marketsignal.solutions for multi-seat licensing.

AI Training Rights

Same as the historical bundle — full rights to train, fine-tune, and evaluate ML models. Dataset itself may not be redistributed.

Not investment advice. This dataset is intended for quantitative research, ML model development, and academic analysis only. Past patterns do not guarantee future results. NVIDIA stock prices are influenced by company-specific developments, sector dynamics, macroeconomic conditions, and market sentiment that may not be fully captured in historical data.
Data is produced by MarketSignal Solutions using our proprietary Herodote AI pipeline. All source data is derived from publicly available market prices and public news APIs/feeds. No copyrighted article text is included — only our own calculated numerical features.

Listing Stats

VIEWS

13

DOWNLOADS

0

LISTED

05/03/2026

UPDATED

13/03/2026

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

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£29.99

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