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

Finance & Banking Analytics

Tags and Keywords

Amzn

Amazon

Finance

Sentiment

Stocks

Ai

Quant

Analysis

Stock

Market

Machine

Learning

Alternative

Data

Trading

Quantitative

Technical

Indicators

Magnificent

7

Cloud

Computing

Faang

Time

Series

Backtesting

Trusted By
Trusted by company1Trusted by company2Trusted by company3
AMZN PRICES Live 2026 - Daily AI Feature Feed (Updated Weekly) Dataset on Opendatabay data marketplace

"No reviews yet"

£29.99

About

Amazon AMZN Live 2026 — Daily AI Feature Feed (Updated Weekly)
Weekly-updated continuation of the Amazon Historical Bundle. Same 94-column feature matrix — price action, technical indicators, AI sentiment from 100+ daily Amazon/AWS/cloud 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.
Amazon in 2026 is accelerating AI infrastructure investment, defending AWS market share against Azure's AI push, scaling advertising revenue, and executing on logistics automation. Each narrative thread generates daily sentiment shifts captured in our weekly updates.

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 Amazon in 2026

  • AWS vs Azure AI battle — cloud market share dynamics and AI workload migration narratives are the dominant sentiment driver for AMZN valuation
  • Anthropic partnership — Amazon's $4B+ AI investment creates ongoing sentiment around competitive positioning vs Microsoft/OpenAI
  • Advertising acceleration — Amazon Ads is growing faster than Google and Meta; sentiment captures the narrative as analysts reprice this segment
  • Logistics automation — drone delivery expansion, robotic fulfillment, and cost reduction narratives drive operational sentiment weekly
  • Consumer spending sensitivity — macro conditions and consumer confidence directly impact retail revenue expectations and sentiment

Collection Methodology

Same Herodote AI pipeline as the historical bundle:
  1. GDELT provides 100+ Amazon-related articles daily from global financial media
  2. Google Gemini AI scores overall market sentiment and AMZN-specific sentiment (-1.0 to +1.0)
  3. Yahoo Finance provides AMZN 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_amzn | float | AI Sentiment | Amazon-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_amzn_ma3 | float | AI Sentiment | 3-day MA of amzn sentiment
42 | sent_overall_ma5 | float | AI Sentiment | 5-day MA of overall sentiment
43 | sent_amzn_ma5 | float | AI Sentiment | 5-day MA of amzn sentiment
44 | sent_overall_mom3 | float | AI Sentiment | 3-day overall sentiment momentum
45 | sent_amzn_mom3 | float | AI Sentiment | 3-day amzn sentiment momentum
46 | sent_overall_mom5 | float | AI Sentiment | 5-day overall sentiment momentum
47 | sent_amzn_mom5 | float | AI Sentiment | 5-day amzn 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_amzn_vol5 | float | AI Sentiment | 5-day amzn 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_amzn_vs_tech | float | Cross-Asset | Amazon minus tech sector return (%)
69 | mkt_amzn_vs_market | float | Cross-Asset | Amazon minus S&P 100 return (%)
70 | mkt_amzn_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 | Amazon 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 AMZN prediction models
  • Cloud Sector Barometer: AMZN/AWS sentiment as a leading indicator for broader cloud infrastructure plays
  • AI Investment Tracking: Monitor sentiment around Anthropic, Bedrock, and Trainium developments
  • Earnings Preparation: Track pre-earnings sentiment buildup across AWS, retail, and advertising segments
  • Continuing Backtests: Extend your 2020-2025 analysis into 2026 with identical feature schema

Pairs Well With

Amazon AMZN 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. Amazon 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

14

DOWNLOADS

0

LISTED

08/03/2026

UPDATED

13/03/2026

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

Loading...

£29.99

Download Dataset in CSV Format