roadz/solusdt_enhanced_180

SOLUSDT Raw Dataset

Dataset Summary

Raw minute-by-minute trading data for SOL/USDT pair from Binance exchange. The dataset covers 180 days of trading activity, providing comprehensive market data including price, volume, and trade information. This data is suitable for various financial analysis tasks, time series forecasting, and market research.

Supported Tasks

• Time Series Forecasting
• Price Prediction
• Market Analysis
• Trading Strategy Development
• Volume Analysis
• Market Microstructure Research

Dataset Structure

The dataset contains 259,200 records with 10 features.

Time Range

• Start Date: 2024-04-29 17:24:00
• End Date: 2024-10-26 17:23:00
• Interval: 1 minute

Features

Feature Name	Description	Type
open_time	Timestamp of the candlestick open	timestamp
open	Opening price in USDT	float
high	Highest price in USDT	float
low	Lowest price in USDT	float
close	Closing price in USDT	float
volume	Trading volume in SOL	float
quote_asset_volume	Trading volume in USDT	float
number_of_trades	Number of trades executed	float
taker_buy_base_asset_volume	Taker buy volume in SOL	float
taker_buy_quote_asset_volume	Taker buy volume in USDT	float

Dataset Creation

Source Data

• Source: Binance Public API
• Original Format: Minute candlesticks
• Collection Method: Direct API download

Additional Information

Example Usage

import pandas as pd

# Load the dataset
df = pd.read_csv('data_SOLUSDT_180d.csv')

# Convert timestamp to datetime
df['open_time'] = pd.to_datetime(df['open_time'], unit='ms')

# Basic statistics
print(df.describe())

Citation

@misc{solusdt_dataset,
  title={SOLUSDT 180 Days Trading Data},
  author={roadz},
  year={2024},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/datasets/roadz/solusdt_180_days}}
}

Acknowledgements

Data sourced from Binance exchange through their public API.