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SOL-USD Historical Trading Metrics

Crypto & Blockchain Transactions

Tags and Keywords

Solana

Crypto

Price

Volume

Market

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SOL-USD Historical Trading Metrics Dataset on Opendatabay data marketplace

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About

Historical market metrics for SOL-USD, representing the daily performance of the Solana cryptocurrency. The data set captures key price movements, including the daily Open, High, Low, Close, and Adjusted Close prices, alongside trading Volume, spanning a period from April 2020 through to May 2022. This collection provides valuable insights into the asset’s volatility and trading activity during its early market presence. It documents periods of high activity, such as the time around the September 2021 network fork and the December 2021 announcement regarding the launch of a non-fungible token (NFT) project using the platform.

Columns

The data set contains seven distinct columns:
  • Date: The date of the recording.
  • Day: Specifies the day count.
  • DateTime Count: A measurement related to the time index.
  • Open: The opening price of SOL on that day (ranging from 0.51 to 259).
  • High: The highest recorded price of SOL on that day (ranging from 0.56 to 260).
  • Low: The lowest recorded price of SOL on that day (ranging from 0.51 to 246).
  • Close: The closing price of SOL on that day (ranging from 0.52 to 259).
  • Adj Close (Adjusted Close): The adjusted closing price (ranging from 0.52 to 259).
  • Volume: The total volume of transactions recorded (ranging from 652k to 17.1b).

Distribution

The data is structured as a tabular file named SOL-USD.csv, with a file size of 54.47 kB. It contains 778 valid records. Importantly, the collection shows 100% validity across all entries, with zero mismatched or missing values for all major metrics (Open, High, Low, Close, Adj Close, and Volume). The expected update frequency for this specific file is Never, indicating it is a static snapshot of historical data.

Usage

This data set is ideally suited for quantitative analysts seeking to model cryptocurrency price behaviour. It supports training recurrent neural networks (RNN) for predicting future price movements and volatility. It is useful for developing and back-testing various trading strategies and for performing detailed historical analysis of Solana’s market performance in relation to major network developments or external announcements.

Coverage

The temporal scope covers 10 April 2020 up to 27 May 2022. It captures daily data across this timeframe. The coverage includes notable events in the platform’s history, such as the network outage that occurred in September 2021, and subsequent periods following major announcements, providing context for price fluctuation during critical market moments.

License

CC0: Public Domain

Who Can Use It

The data set is accessible for a range of users:
  • Beginner Researchers: Those new to crypto markets can use the simple structure for initial explorations.
  • Intermediate Analysts: Individuals performing deeper quantitative analysis, suited for the intermediate skill level specified.
  • Data Scientists: Users training complex models like RNNs for forecasting purposes.
  • Economists: Researchers studying the integration and volatility of blockchain assets within the wider financial ecosystem.

Dataset Name Suggestions

  • Solana Daily Price Data (SOL-USD)
  • SOL-USD Historical Trading Metrics
  • Solana Cryptocurrency Market Performance 2020-2022
  • SOL Market Time Series

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

01/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format