metadata
license: mit
task_categories:
- tabular-classification
- time-series-forecasting
tags:
- finance
- trading
- bitcoin
- cryptocurrency
- technical-analysis
language:
- en
size_categories:
- 1K<n<10K
📊 Multi-Model Trading Data
Bitcoin (BTC-USD) historical price data with technical indicators for ML/DL trading models.
📁 Dataset Files
| File | Description | Rows | Columns |
|---|---|---|---|
btc_usd_historical.csv |
Raw OHLCV data | ~3,653 | 5 |
btc_usd_features.csv |
Processed with indicators | ~3,603 | 17 |
📅 Date Range
- Start: 2015-01-01
- End: 2025-01-01
- Frequency: Daily
📈 Features in btc_usd_features.csv
Raw OHLCV
open,high,low,close,volume
Technical Indicators
| Feature | Description |
|---|---|
rsi |
Relative Strength Index (14-period) |
macd |
MACD Line |
macd_signal |
MACD Signal Line |
bb_width |
Bollinger Band Width |
atr |
Average True Range |
dist_sma50 |
Distance from 50-day SMA |
obv_pct |
On-Balance Volume % Change |
adx |
Average Directional Index |
stoch_rsi_k |
Stochastic RSI %K |
stoch_rsi_d |
Stochastic RSI %D |
Target Variables
return— Next-day return (%)target— Binary label (1 = price up, 0 = price down)
🚀 Usage
from datasets import load_dataset
# Load dataset
dataset = load_dataset("AdityaaXD/Multi-Model-Trading-Data")
# Or with pandas
import pandas as pd
df = pd.read_csv("hf://datasets/AdityaaXD/Multi-Model-Trading-Data/btc_usd_features.csv")
🔗 Related
⚠️ Disclaimer
This dataset is for educational and research purposes only. Not financial advice.
📝 Source
Data fetched from Yahoo Finance using yfinance library.