MAG 7 PRICES bundle Live 2026 - Daily AI Feature Feed (Updated Weekly)

What You Get

• Same 95-column feature matrix as the historical bundle (ticker + 94 features)
• Updated every week with the latest trading days for all 7 tickers
• Download the latest CSV anytime during your subscription
• Currently growing weekly from January 2, 2026

Bundle Savings

Feature Groups (95 columns)

Why the Magnificent 7 Bundle in 2026

• AI capex arms race — NVDA, MSFT, AMZN, GOOG, and META are all competing on AI infrastructure spending; cross-stock sentiment tracking reveals which companies are winning the narrative war each week
• Sector rotation signals — when capital flows from consumer tech (AAPL, TSLA) into cloud/AI (MSFT, AMZN, GOOG), the bundle's relative sentiment features detect the shift before price confirms it
• Tariff and regulatory divergence — 2026 trade policy and antitrust actions hit each mega-cap differently; the bundle captures stock-specific sentiment reactions to shared macro shocks
• Earnings cascade — Mag 7 earnings cluster within a 3-week window each quarter; sentiment contagion from early reporters (TSLA, META) predicts moves in later reporters (AAPL, MSFT)
• Portfolio-level regime detection — when all 7 tickers share the same sentiment direction, it signals macro regime change; when they diverge, it signals idiosyncratic opportunity

Collection Methodology

1. GDELT provides 100+ articles daily per ticker from global financial media
2. Google Gemini AI scores overall market sentiment and ticker-specific sentiment (-1.0 to +1.0) independently for each stock
3. Yahoo Finance provides prices for all 7 tickers, S&P 100 cross-asset data, sector returns, and macro indicators
4. Feature engineering computes 94 derived features per ticker using numpy
5. Automated quality audit runs on every weekly export

Complete Column Reference

# | Column | Type | Group | Description
---|--------|------|-------|------------
1 | ticker | string | Identifier | Stock symbol (NVDA, AAPL, TSLA, AMZN, META, MSFT, GOOG)
2 | date | date | Metadata | Trading date (YYYY-MM-DD)
3 | year | int | Metadata | Calendar year
4 | day_of_week | string | Metadata | Day name (Monday-Friday)
5 | price_close | float | Price Action | Closing price (USD)
6 | price_return_1d | float | Price Action | 1-day return (%)
7 | price_return_3d | float | Price Action | 3-day return (%)
8 | price_return_5d | float | Price Action | 5-day return (%)
9 | price_return_10d | float | Price Action | 10-day return (%)
10 | price_return_20d | float | Price Action | 20-day return (%)
11 | price_log_return_1d | float | Price Action | 1-day log return
12 | price_dist_high_10d | float | Price Action | Distance from 10-day high (%)
13 | price_dist_high_20d | float | Price Action | Distance from 20-day high (%)
14 | price_dist_low_10d | float | Price Action | Distance from 10-day low (%)
15 | price_dist_low_20d | float | Price Action | Distance from 20-day low (%)
16 | tech_rsi_14 | float | Technical | RSI 14-day (0-100, >70 overbought, <30 oversold)
17 | tech_sma_5 | float | Technical | 5-day Simple Moving Average (USD)
18 | tech_sma_20 | float | Technical | 20-day Simple Moving Average (USD)
19 | tech_sma_5_dist | float | Technical | Distance from 5-day SMA (%)
20 | tech_sma_20_dist | float | Technical | Distance from 20-day SMA (%)
21 | tech_ema_20 | float | Technical | 20-day Exponential Moving Average (USD)
22 | tech_ema_20_dist | float | Technical | Distance from 20-day EMA (%)
23 | tech_bollinger_pos | float | Technical | Position within Bollinger Bands (0=lower, 0.5=middle, 1=upper)
24 | tech_bollinger_bw | float | Technical | Bollinger Band width (%)
25 | tech_bollinger_squeeze | float | Technical | Squeeze indicator (1 = bandwidth in bottom 10th percentile, upcoming breakout)
26 | tech_macd | float | Technical | MACD line
27 | tech_macd_signal | float | Technical | MACD signal line
28 | tech_macd_hist | float | Technical | MACD histogram (positive = bullish momentum)
29 | tech_adx | float | Technical | ADX trend strength (>25 trending, <20 ranging)
30 | tech_roc_5 | float | Technical | 5-day Rate of Change (%)
31 | tech_roc_10 | float | Technical | 10-day Rate of Change (%)
32 | tech_roc_20 | float | Technical | 20-day Rate of Change (%)
33 | tech_streak | int | Technical | Consecutive up/down days (positive = up streak)
34 | tech_vol_5d | float | Technical | 5-day realized volatility (annualized %)
35 | tech_vol_10d | float | Technical | 10-day realized volatility (%)
36 | tech_vol_20d | float | Technical | 20-day realized volatility (%)
37 | tech_momentum_quality | float | Technical | Momentum consistency score (ROC adjusted for volatility)
38 | sent_overall | float | AI Sentiment | Overall market sentiment (-1.0 bearish to +1.0 bullish)
39 | sent_{ticker} | float | AI Sentiment | Ticker-specific sentiment (-1.0 bearish to +1.0 bullish)
40 | sent_spread | float | AI Sentiment | Ticker minus overall sentiment (positive = stock more bullish than market)
41 | sent_overall_ma3 | float | AI Sentiment | 3-day MA of overall sentiment
42 | sent_{ticker}_ma3 | float | AI Sentiment | 3-day MA of ticker sentiment
43 | sent_overall_ma5 | float | AI Sentiment | 5-day MA of overall sentiment
44 | sent_{ticker}_ma5 | float | AI Sentiment | 5-day MA of ticker sentiment
45 | sent_overall_mom3 | float | AI Sentiment | 3-day overall sentiment momentum
46 | sent_{ticker}_mom3 | float | AI Sentiment | 3-day ticker sentiment momentum
47 | sent_overall_mom5 | float | AI Sentiment | 5-day overall sentiment momentum
48 | sent_{ticker}_mom5 | float | AI Sentiment | 5-day ticker sentiment momentum
49 | sent_overall_vol5 | float | AI Sentiment | 5-day overall sentiment volatility
50 | sent_overall_vol10 | float | AI Sentiment | 10-day overall sentiment volatility
51 | sent_{ticker}_vol5 | float | AI Sentiment | 5-day ticker sentiment volatility
52 | sent_price_corr_10d | float | Sent x Price | 10-day rolling sentiment-price correlation
53 | sent_price_corr_20d | float | Sent x Price | 20-day rolling sentiment-price correlation
54 | sent_price_diverge | float | Sent x Price | Divergence flag (1 when sentiment and price disagree 3+ consecutive days)
55 | news_count | int | News Volume | Articles collected that day
56 | news_count_ma20 | float | News Volume | 20-day article count moving average
57 | news_count_zscore | float | News Volume | Z-score vs 20-day window (>2 = unusual volume)
58 | news_count_mom5 | float | News Volume | 5-day article count momentum
59 | news_spike | float | News Volume | Binary flag for abnormal news volume (count > 2x MA)
60 | mkt_sp100_breadth | float | Cross-Asset | S&P 100 market breadth (% of stocks up, 0-100)
61 | mkt_sp100_return | float | Cross-Asset | S&P 100 equal-weight return (%)
62 | mkt_dispersion | float | Cross-Asset | Cross-sectional return dispersion (%)
63 | mkt_tech_return | float | Cross-Asset | Tech sector return (%)
64 | mkt_finance_return | float | Cross-Asset | Finance sector return (%)
65 | mkt_health_return | float | Cross-Asset | Healthcare sector return (%)
66 | mkt_energy_return | float | Cross-Asset | Energy sector return (%)
67 | mkt_consumer_return | float | Cross-Asset | Consumer sector return (%)
68 | mkt_industrial_return | float | Cross-Asset | Industrial sector return (%)
69 | mkt_{ticker}_vs_tech | float | Cross-Asset | Ticker minus tech sector return (%)
70 | mkt_{ticker}_vs_market | float | Cross-Asset | Ticker minus S&P 100 return (%)
71 | mkt_{ticker}_beta_20d | float | Cross-Asset | 20-day rolling beta vs S&P 100
72 | vol_of_vol_20d | float | Vol Regime | Volatility of volatility (20-day rolling)
73 | vol_regime | int | Vol Regime | Regime: 0=low, 1=normal, 2=high, 3=extreme
74 | sent_vol_regime_interaction | float | Interaction | Ticker sentiment x volatility regime (amplified signal in high-vol periods)
75 | macro_vix | float | Macro | VIX level (CBOE Volatility Index)
76 | macro_vix_change_1d | float | Macro | 1-day VIX percentage change
77 | macro_vix_ma5 | float | Macro | VIX 5-day moving average
78 | macro_yield_spread | float | Macro | 10Y minus short-term Treasury yield spread (%)
79 | macro_credit_spread | float | Macro | High-yield credit spread proxy (LQD/HYG ratio)
80 | macro_dxy_change | float | Macro | US Dollar Index 1-day percentage change (%)
81 | options_iv_atm | float | Options | ATM implied volatility (%) via VIX x beta approximation
82 | options_iv_rv_spread | float | Options | IV minus realized vol (positive = fear premium)
83 | earnings_days_to_next | float | Earnings | Days to next quarterly earnings (0 = earnings day, capped at 90)
84 | earnings_is_earnings_day | float | Earnings | Binary flag: 1 on earnings day, 0 otherwise
85 | attention_wikipedia_views | float | Social Attention | Daily Wikipedia pageviews (1-day lagged)
86 | attention_wikipedia_zscore | float | Social Attention | Wikipedia views z-score (>2 = unusual interest)
87 | attention_google_trends | float | Social Attention | Google Trends index (0-100)
88 | attention_google_trends_change | float | Social Attention | Google Trends change vs prior period
89 | label_return_1d | float | Forward Labels | Next-day return (%)
90 | label_dir_1d | string | Forward Labels | Next-day direction (UP/DOWN/FLAT)
91 | label_return_3d | float | Forward Labels | 3-day forward return (%)
92 | label_dir_3d | string | Forward Labels | 3-day forward direction
93 | label_return_5d | float | Forward Labels | 5-day forward return (%)
94 | label_dir_5d | string | Forward Labels | 5-day forward direction
95 | label_flat_1d | float | Forward Labels | Flat flag (1 if next-day |return| < 0.1%)

Usage

• Cross-stock ML Models: Feed fresh weekly features for all 7 tickers into production models
• Pairs Trading: Weekly sentiment divergence signals between correlated mega-caps
• Portfolio Rebalancing: Weekly signal updates for Mag 7 allocation strategies
• Sector Rotation: Detect regime shifts across AI, cloud, EV, and consumer tech in real time
• Continuing Backtests: Extend your 2020-2025 cross-stock analysis into 2026

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