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Binance_Top40

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funding_time
int64
symbol
string
funding_rate
float64
1,782,993,600,005
1000BONKUSDT
0.00005
1,783,008,000,000
1000BONKUSDT
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1000BONKUSDT
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1000BONKUSDT
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1000BONKUSDT
0.00005
1,783,123,200,000
1000BONKUSDT
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1000BONKUSDT
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0
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0.00005
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1000BONKUSDT
0.000021
1,783,324,800,000
1000BONKUSDT
0.00005
1,783,339,200,002
1000BONKUSDT
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1,783,353,600,000
1000BONKUSDT
0.00005
1,783,368,000,003
1000BONKUSDT
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1,783,382,400,000
1000BONKUSDT
-0.000082
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1000PEPEUSDT
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1,704,096,000,000
1000PEPEUSDT
0.000389
1,704,124,800,000
1000PEPEUSDT
0.000702
1,704,153,600,000
1000PEPEUSDT
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1,704,182,400,000
1000PEPEUSDT
0.000697
1,704,211,200,000
1000PEPEUSDT
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1,704,240,000,000
1000PEPEUSDT
0.000572
1,704,268,800,000
1000PEPEUSDT
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1000PEPEUSDT
0.0001
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1000PEPEUSDT
0.0001
1,704,355,200,000
1000PEPEUSDT
0.0001
1,704,384,000,000
1000PEPEUSDT
0.0001
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1000PEPEUSDT
0.0001
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1000PEPEUSDT
0.0001
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1000PEPEUSDT
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1000PEPEUSDT
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YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Crypto Top40 Binance Futures Dataset

Welcome to this dataset repo, star and use it for cryptos. This dataset contains minute-level Binance USD-M futures market data for a rotating top-liquidity crypto universe. The whole dataset loads at https://huggingface.co/datasets/Crypt-dataset/Crypto-top40, we will update evertday, as soon as possible.

We appreicate that you can star this repo that if this dataset is useful for your quant research

Contents

  • klines/*.parquet: 1-minute OHLCV futures bars by symbol.
  • funding/*.parquet: historical funding rates by symbol.

Each kline file is keyed by open_time in milliseconds. Each funding file is keyed by funding_time in milliseconds.

Kline Columns

  • open_time
  • open
  • high
  • low
  • close
  • volume
  • close_time
  • quote_volume
  • trades
  • taker_buy_base
  • taker_buy_quote

Funding Columns

  • funding_time
  • symbol
  • funding_rate

Use Cases

This dataset is intended for crypto quantitative research, including alpha-factor testing, cross-sectional backtesting, liquidity filtering, funding-rate studies, and strategy prototyping.

The data is provided for research purposes only and is not investment advice.
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