Search is not available for this dataset
o
float64
0
208,385B
h
float64
0
721,987B
l
float64
0
206,128B
c
float64
0
208,385B
v
float64
0
14,553,675B
t
int64
1.7B
1.74B
0.000004
0.000004
0.000004
0.000004
0
1,731,844,800
0.000004
0.000004
0.000004
0.000004
19,475.729003
1,731,848,400
0.000004
0.000004
0.000004
0.000004
31,498.547795
1,731,852,000
0.000004
0.000004
0.000004
0.000004
29,645.637584
1,731,855,600
0.000004
0.000004
0.000004
0.000004
6,711.409396
1,731,859,200
0.000004
0.000004
0.000004
0.000004
0
1,731,862,800
0.000004
0.000004
0.000004
0.000004
14,000
1,731,866,400
0.000004
0.000004
0.000004
0.000004
0
1,731,870,000
0.000004
0.000004
0.000004
0.000004
1,192.323301
1,731,873,600
0.000004
0.000004
0.000004
0.000004
0
1,731,877,200
0.000004
0.000004
0.000004
0.000004
0
1,731,880,800
0.000004
0.000004
0.000004
0.000004
100,000
1,731,884,400
0.000004
0.000004
0.000004
0.000004
2,991.855065
1,731,888,000
0.000004
0.000004
0.000004
0.000004
0
1,731,891,600
0.000004
0.000004
0.000004
0.000004
0
1,731,895,200
0.000004
0.000004
0.000004
0.000004
0
1,731,898,800
0.000004
0.000004
0.000004
0.000004
0
1,731,902,400
0.000004
0.000004
0.000004
0.000004
0
1,731,906,000
0.000004
0.000004
0.000004
0.000004
0
1,731,909,600
0.000004
0.000004
0.000004
0.000004
0
1,731,913,200
0.000004
0.000004
0.000004
0.000004
0
1,731,916,800
0.000004
0.000004
0.000004
0.000004
0
1,731,920,400
0.000004
0.000004
0.000004
0.000004
0
1,731,924,000
0.000004
0.000004
0.000004
0.000004
0
1,731,927,600
0.000004
0.000004
0.000004
0.000004
0
1,731,931,200
0.000004
0.000004
0.000004
0.000004
0
1,731,934,800
0.000004
0.000004
0.000004
0.000004
0
1,731,938,400
0.000004
0.000004
0.000004
0.000004
0
1,731,942,000
0.000004
0.000004
0.000004
0.000004
0
1,731,945,600
0.000004
0.000004
0.000004
0.000004
0
1,731,949,200
0.000004
0.000004
0.000004
0.000004
0
1,731,952,800
0.000004
0.000004
0.000004
0.000004
0
1,731,956,400
0.000004
0.000004
0.000004
0.000004
13,422.818792
1,731,960,000
0.000004
0.000004
0.000004
0.000004
0
1,731,963,600
0.000004
0.000004
0.000004
0.000004
24,055.22392
1,731,967,200
0.000004
0.000004
0.000004
0.000004
0
1,731,970,800
0.000004
0.000004
0.000004
0.000004
6,711.40939
1,731,974,400
0.000004
0.000004
0.000004
0.000004
0
1,731,978,000
0.000004
0.000004
0.000004
0.000004
0
1,731,981,600
0.000004
0.000004
0.000004
0.000004
0
1,731,985,200
0.000004
0.000004
0.000004
0.000004
0
1,731,988,800
0.000004
0.000004
0.000004
0.000004
0
1,731,992,400
0.000004
0.000004
0.000004
0.000004
70,000
1,731,996,000
0.000004
0.000004
0.000004
0.000004
0
1,731,999,600
0.000004
0.000004
0.000004
0.000004
0
1,732,003,200
0.000004
0.000004
0.000004
0.000004
0
1,732,006,800
0.000004
0.000004
0.000004
0.000004
0
1,732,010,400
0.000004
0.000004
0.000004
0.000004
0
1,732,014,000
0.000004
0.000004
0.000004
0.000004
0
1,732,017,600
0.000004
0.000004
0.000004
0.000004
0
1,732,021,200
0.000004
0.000004
0.000004
0.000004
30,766.633316
1,732,024,800
0.000004
0.000004
0.000004
0.000004
6,711.409396
1,732,028,400
0.000004
0.000004
0.000004
0.000004
118,872.12122
1,732,032,000
0.000004
0.000004
0.000004
0.000004
0
1,732,035,600
0.000004
0.000004
0.000004
0.000004
45,561.25471
1,732,039,200
0.000004
0.000004
0.000004
0.000004
0
1,732,042,800
0.000004
0.000004
0.000004
0.000004
6,711.409396
1,732,046,400
0.000004
0.000004
0.000004
0.000004
0
1,732,050,000
0.000004
0.000004
0.000004
0.000004
6,711.409396
1,732,053,600
0.000004
0.000004
0.000004
0.000004
6,711.409396
1,732,057,200
0.000004
0.000004
0.000004
0.000004
0
1,732,060,800
0.000004
0.000004
0.000004
0.000004
0
1,732,064,400
0.000004
0.000004
0.000004
0.000004
0
1,732,068,000
0.000004
0.000004
0.000004
0.000004
7,000
1,732,071,600
0.000004
0.000004
0.000004
0.000004
0
1,732,075,200
0.000004
0.000004
0.000004
0.000004
0
1,732,078,800
0.000004
0.000004
0.000004
0.000004
6,711.409396
1,732,082,400
0.000004
0.000004
0.000004
0.000004
0
1,732,086,000
0.000004
0.000004
0.000004
0.000004
0
1,732,089,600
0.000004
0.000004
0.000004
0.000004
177,789.964106
1,732,093,200
0.000004
0.000004
0.000004
0.000004
0
1,732,096,800
0.000004
0.000004
0.000004
0.000004
0
1,732,100,400
0.000004
0.000004
0.000004
0.000004
0
1,732,104,000
0.000004
0.000004
0.000004
0.000004
0
1,732,107,600
0.000004
0.000004
0.000004
0.000004
0
1,732,111,200
0.000004
0.000004
0.000004
0.000004
0
1,732,114,800
0.000004
0.000004
0.000004
0.000004
0
1,732,118,400
0.000004
0.000004
0.000004
0.000004
0
1,732,122,000
0.000004
0.000004
0.000004
0.000004
0
1,732,125,600
0.000004
0.000004
0.000004
0.000004
0
1,732,129,200
0.000004
0.000004
0.000004
0.000004
0
1,732,132,800
0.000004
0.000004
0.000004
0.000004
6,711.409396
1,732,136,400
0.000004
0.000004
0.000004
0.000004
0
1,732,140,000
0.000004
0.000004
0.000004
0.000004
7,143.583112
1,732,143,600
0.000004
0.000004
0.000004
0.000004
0
1,732,147,200
0.000004
0.000004
0.000004
0.000004
6,711.409396
1,732,150,800
0.000004
0.000004
0.000004
0.000004
12,600
1,732,154,400
0.000004
0.000004
0.000004
0.000004
7,000
1,732,158,000
0.000004
0.000004
0.000004
0.000004
0
1,732,161,600
0.000004
0.000004
0.000004
0.000004
6,711.409396
1,732,165,200
0.000004
0.000004
0.000004
0.000004
0
1,732,168,800
0.000004
0.000004
0.000004
0.000004
0
1,732,172,400
0.000004
0.000004
0.000004
0.000004
13,422.818792
1,732,176,000
0.000004
0.000004
0.000004
0.000004
67.402075
1,732,179,600
0.000004
0.000004
0.000004
0.000004
0
1,732,183,200
0.000004
0.000004
0.000004
0.000004
6,711.409396
1,732,186,800
0.000004
0.000004
0.000004
0.000004
0
1,732,190,400
0.000004
0.000004
0.000004
0.000004
40,268.456376
1,732,194,000
0.000004
0.000004
0.000004
0.000004
47,809.000058
1,732,197,600
0.000004
0.000004
0.000004
0.000004
0
1,732,201,200

Dataset Card for Solana Pairs History

This dataset card provides an overview of the "Solana Pairs Price History", a collection of historical data related to Solana liquidity pairs. It is intended for use in research and development of financial models, data analysis, and machine learning applications.

Dataset Details

Dataset Description

The dataset contains historical trading data for Solana pairs, with each pair represented as a separate JSONL file. The filenames specify the base and quote tokens in that order, allowing easy identification of the trading pair. Each file contains records with fields including open price (o), high price (h), low price (l), close price (c), volume (v), and timestamp (t). These fields represent standard market data.

  • Curated by: Horen Research
  • License: MIT License

Publishing Company

This dataset is published by Horen Research, a trading research firm specializing in high-frequency trading in the cryptocurrency. For more information, visit horenresearch.com.

Dataset Sources

Direct Use

This dataset is suitable for the following use cases:

  • Analysis of historical trading trends in Solana liquidity pairs.
  • Training machine learning models for price prediction or trading strategy optimization.
  • Academic research on cryptocurrency markets.

Out-of-Scope Use

This dataset is not suitable for real-time trading applications, as it is historical and static. Misuse, such as generating fraudulent models or conducting malicious activities, is out of scope.

Disclaimer

We do not accept any responsibility for financial losses, damages, or liabilities resulting from the use of this dataset. This dataset is provided "as is" for research purposes only. Users are solely responsible for how they interpret and apply the data.

Dataset Structure

The dataset consists of multiple JSONL files, each corresponding to a specific Solana trading pair. The filename specifies the base token and the quote token in that order, making it easy to identify the pair represented by the file.

Each record in the JSONL files includes the following fields:

  • o: Open price (float64)
  • h: High price (float64)
  • l: Low price (float64)
  • c: Close price (float64)
  • v: Volume (float64)
  • t: Timestamp (int64)

Dataset Creation

Data Collection and Processing

The data was collected from public APIs.

Recommendations

  • Be cautious when using this dataset for financial modeling, as market conditions change rapidly.
  • Understand that the dataset reflects past performance, which may not predict future outcomes.
  • Users are advised to use the dataset responsibly and are solely liable for its application.

Citation

BibTeX:

@misc{solana_pairs_history,
  title={Solana Pairs Price History},
  author={Horen Research},
  year={2024},
  publisher={Hugging Face},
  license={MIT}
}

APA: Horen Research. (2024). Solana Pairs History. Hugging Face. MIT License.

Dataset Card Authors

Horen Research

Downloads last month
18