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Bitstamp Exchange Data

Historical OHLC Price Data includes Volume

We track and produce files for Daily, Hourly, and Minute(!) time series pricing data for the spot/physical market. Each file is easily downloadable in CSV format and can be consumed automatically by Python scripts or other automated processes. In each file, you will find the below/following fields. This OHLC (Open/High/Low/Close) pricing data is updated each day and is taken directly from the exchange(s). Please reach out if you find discrepancies or errors in the data that need to be addressed

  • Unix Timestamp - This is the unix timestamp or also known as "Epoch Time". Use this to convert to your local timezone
  • Date - This timestamp is converted to NY EST Standard Time
  • Symbol - The symbol for which the timeseries data refers
  • Open - This is the opening price of the time period
  • High - This is the highest price of the time period
  • Low - This is the lowest price of the time period
  • Close - This is the closing price of the time period
  • Volume (Crypto) - This is the volume in the transacted Ccy. Ie. For BTC/USDT, this is in BTC amount
  • Volume Base Ccy - This is the volume in the base/converted ccy. Ie. For BTC/USDT, this is in USDT amount


    • BTC/USD [Daily] [Hourly][Minute]
    ETH/USD [Daily] [Hourly][Minute]
    LTC/USD [Daily] [Hourly][Minute]
    XRP/USD [Daily] [Hourly][Minute]
    BCH/USD [Daily] [Hourly][Minute]

    BTC/EUR [Daily] [Hourly][Minute]
    ETH/EUR [Daily] [Hourly][Minute]
    LTC/EUR [Daily] [Hourly][Minute]
    BCH/EUR [Daily] [Hourly][Minute]

    ETH/BTC [Daily] [Hourly][Minute]
    LTC/BTC [Daily] [Hourly][Minute]
    BCH/BTC [Daily] [Hourly][Minute]

    BTC/USD Transactions Viewer

    Historical Trade Prints

    Every transaction, regardless of size, takes place between a buyer and a seller and is recorded with the timestamp at which it occurred. These are actual historical trades; and these "trade prints" are made available below. Due to the sheer amount and size of the files, we compress the files across quarterly timeframes. Please reach out to us if you are looking for access on a more frequently updated basis.

  • Unix Timestamp - This is the unix timestamp or also known as "Epoch Time". Use this to convert to your local timezone
  • Date - This timestamp is converted to NY EST Standard Time
  • Symbol - The symbol for which the transaction took place
  • Price - The price at which the transaction occurred
  • Amount - The amount in transacted ccy which occurred. Ie. For BTC/USD, this represents BTC transacted
  • Dollar_amount - This is the amount converted to the base ccy. Ie. For BTC/USD, this represents amount * price in USD terms
  • Type - Will be either a 'Buy' or a 'Sell'. A 'buy' represents market participant placing a 'buy order' at best available market price (Lowest Ask Price). A 'sell' represents the opposite; a market participant executing a market order to sell at the best available price (Highest Bid Price)

    • BTC/USD [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    BCH/USD [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    ETH/USD [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    LTC/USD [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    XRP/USD [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    BTC/EUR [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    BCH/EUR [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    ETH/EUR [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    LTC/EUR [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    XRP/EUR [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    BCH/BTC [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    ETH/BTC [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    LTC/BTC [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]
    XRP/BTC [August 2019] [September 2019] [October 2019] [November 2019] [December 2019] [Q1 2020] [Q2 2020] [Q3 2020] [Q4 2020] [Q1 2021]

    Historical Order Books

    Orderbooks are captured by taking a snapshot of the market limit orders for both buyers (bid) and sellers (ask) in 5 minute intervals.
  • No data sets currently available.

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    CryptoDataDownload makes available free data for cryptocurrency enthusiasts or risk analysts to do their own research or practice their skills. Few have the time or skill set to do their own analysis, or be able to quantify the risk(s) of cryptocurrency assets. Our Market Risk reporting service captures and tracks risks in the cryptocurrency markets every day. Our risk blog goes more in depth into conceptual risk management topics that we provide reporting on, and explores other data science applications.

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