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datetime
timestamp[ns]date
1962-01-01 00:00:00
2026-02-28 00:00:00
open
float64
-14
607B
high
float64
0
612B
low
float64
-40.32
515B
close
float64
-37.63
515B
volume
int64
0
58.4B
ticker
stringclasses
755 values
interval
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End of preview. Expand in Data Studio

Elliott Wave Market Data - Extended Dataset

Additional comprehensive OHLCV market data for training Elliott Wave pattern recognition neural networks.

⚠️ This is a companion dataset - contains instruments NOT included in the primary dataset.

Dataset Description

This extended dataset contains historical OHLCV data for additional asset classes and instruments, specifically curated to complement the primary Elliott Wave dataset.

Asset Classes (Different from Primary Dataset)

  • Small/Mid Cap Stocks: Russell 2000, NASDAQ 100 components not in S&P 500
  • More Cryptocurrencies: DeFi tokens, Layer 2s, Gaming coins, Memecoins, New launches
  • Emerging Markets: Country ETFs, ADRs from China, India, Latin America, etc.
  • More Forex: Exotic pairs, Scandinavian, Asian, Latin American currencies
  • REITs & Specialty: Data centers, Healthcare, Industrial, Mortgage REITs
  • Thematic ETFs: Clean energy, Cybersecurity, AI/Robotics, Cannabis, Space
  • Fixed Income: Treasury, Corporate, High Yield, Municipal bonds
  • Leveraged/Inverse: 2x/3x ETFs for pattern diversity

Timeframes

  • 1h: Hourly data (up to 2 years history)
  • 4h: 4-hour data (resampled from 1h)
  • 1d: Daily data (maximum available history)
  • 1wk: Weekly data (maximum available history)

Dataset Statistics

  • Total Rows: 11,016,615
  • Total Unique Tickers: 755
  • Generated: 2026-02-27 15:45 UTC

By Category

Category 1h Bars 4h Bars 1d Bars 1wk Bars Tickers
commodities_extended 343,667 103,101 256,810 53,458 52
crypto_extended 1,354,970 338,991 165,459 23,692 92
emerging_markets 405,461 139,613 307,011 63,769 90
fixed_income 247,812 83,274 203,556 42,259 50
forex_extended 701,799 195,567 268,027 53,891 46
indices_extended 87,336 32,028 106,848 22,696 18
leveraged 277,076 93,820 227,244 47,182 58
nasdaq 314,812 105,455 383,004 79,441 62
reits 268,390 89,940 368,076 76,338 53
small_cap 867,707 291,505 1,097,034 227,502 172
thematic_etfs 290,474 101,434 173,140 35,946 70

Data Schema

Each Parquet file contains the following columns:

Column Type Description
datetime datetime64 Timestamp of the bar
open float64 Opening price
high float64 Highest price
low float64 Lowest price
close float64 Closing price
volume float64 Trading volume
ticker string Ticker symbol
interval string Timeframe interval

Usage

import pandas as pd

# Load specific file
df = pd.read_parquet("hf://datasets/YOUR_USERNAME/elliott-wave-market-data-extended/small_cap/small_cap_1d.parquet")

# Combine with primary dataset
df_primary = pd.read_parquet("hf://datasets/YOUR_USERNAME/elliott-wave-market-data/stocks/stocks_1d.parquet")
df_extended = pd.read_parquet("hf://datasets/YOUR_USERNAME/elliott-wave-market-data-extended/small_cap/small_cap_1d.parquet")
df_combined = pd.concat([df_primary, df_extended], ignore_index=True)

Data Sources

  • Primary source: Yahoo Finance (via yfinance)
  • All data is adjusted for splits and dividends

License

MIT License - Free for academic and commercial use.

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