usamaahmedsh/elliott-wave-market-data-extended

---
license: mit
task_categories:
- time-series-forecasting
tags:
- finance
- stocks
- crypto
- forex
- commodities
- elliott-wave
- technical-analysis
- ohlcv
- small-cap
- emerging-markets
- defi
- altcoins
pretty_name: Elliott Wave Market Data Extended
size_categories:
- 1M<n<10M
---

# 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

```python
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.