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Python SDK for the API.



About This Project

This project is a fork of Martin Simon's 'coinmarketcap' module, which had not been updated for a long while (original repository). This version has been extensively reworked to be compatible with the current CoinMarketCap API, diverging significantly from the original source. As a result, it is not backwards compatible, but it brings new capabilities and improvements tailored to the current API's structure and requirements.

This project currently supports the v1/cryptocurrency/listings/latest endpoint which is usable by anyone with a a free API key from CoinMarketCap. Obtain your free API key by signing up at CoinMarketCap API.

It also supports the /v2/cryptocurrency/quotes/historical endpoint which requires a paid 'Hobbyist' level account or higher.



Install byteforge-coinmarketcap

pip install byteforge-coinmarketcap


First, create an instance of the Market class with your API key:

from coinmarketcap import Market
from coinmarketcap import SortOption

API_KEY = 'your_api_key_here'
coinmarketcap = Market(api_key=API_KEY)

General Instructions

This SDK is crafted to fetch market data at specific points in time, offering a comprehensive snapshot of cryptocurrency metrics. Each method returns a list of TokenState objects, encapsulating detailed quotes for a cryptocurrency asset corresponding to particular timestamps. The TokenState object can include multiple quotes for the asset. For additional information, refer to the usage examples provided.

Usage: API listings_latest

Get the top 5 token states by market cap (A TokenState is a snapshot of a token at a certain point of time, for listings_latest, that time will always be "now")

Simple Usage

token_states = coinmarketcap.listings_latest(sort_by=SortOption.MARKET_CAP, limit=5)

for token in tokens:
    print(, token.symbol, token.quote_map['USD'].price)

# Bitcoin BTC 51121.78037849647
# Ethereum ETH 2912.0337516792188
# Tether USDt USDT 0.9996898483447065
# BNB BNB 369.2725354702457
# Solana SOL 103.68827889524766

The convert parameter

The convert parameter enhances your ability to receive cryptocurrency quotes in multiple currencies simultaneously. This feature is especially useful for comparing market values across different fiat and cryptocurrencies, allowing up to three currency conversions in a single request.

Here's how you can retrieve the latest listings and obtain quotes in USD and BTC for the top 5 cryptocurrencies by market capitalization:

# Fetch listings with market cap sort, limited to the top 5, converting quotes to USD and BTC
tokens = coinmarketcap.listings_latest(sort_by=SortOption.MARKET_CAP, limit=5, convert=['USD', 'BTC'])

# Iterate through each token to display its name, symbol, and quotes in BTC and USD
for token in tokens:
   btc_price = token.quote_map['BTC'].price
   usd_price = token.quote_map['USD'].price
   print(f"{} ({token.symbol}): {btc_price} BTC | {usd_price} USD")

# Example output:
Bitcoin (BTC): 1 BTC | 67393.03455553834 USD
Ethereum (ETH): 0.052078986669438124 BTC | 3509.760948230864 USD
Tether USDt (USDT): 1.4836675143579e-05 BTC | 0.9998885606405162 USD
Solana (SOL): 0.002940752776384911 BTC | 198.1862534782036 USD
BNB (BNB): 0.008168244957149958 BTC | 550.4828146553089 USD

The SortOption parameter

The SortOption enum provides various parameters you can use to sort the listings fetched from CoinMarketCap. Below are the available sort options:

  • MARKET_CAP: Sort by market capitalization.
  • MARKET_CAP_STRICT: Strict sorting by market capitalization.
  • NAME: Sort by the name of the token.
  • SYMBOL: Sort by the symbol of the token.
  • DATE_ADDED: Sort by the date the token was added to CoinMarketCap.
  • PRICE: Sort by the price of the token.
  • CIRCULATING_SUPPLY: Sort by circulating supply.
  • TOTAL_SUPPLY: Sort by total supply.
  • MAX_SUPPLY: Sort by maximum supply.
  • NUM_MARKET_PAIRS: Sort by the number of market pairs.
  • MARKET_CAP_BY_TOTAL_SUPPLY_STRICT: Strict sorting by market capitalization by total supply.
  • VOLUME_24H: Sort by 24-hour volume.
  • VOLUME_7D: Sort by 7-day volume.
  • VOLUME_30D: Sort by 30-day volume.
  • PERCENT_CHANGE_1H: Sort by percent change in the last hour.
  • PERCENT_CHANGE_24H: Sort by percent change in the last 24 hours.
  • PERCENT_CHANGE_7D: Sort by percent change in the last 7 days.

To use a sort option, simply pass the desired SortOption value to the listings_latest method's sort_by parameter, and use SortDir to specificy sort direction:

from coinmarketcap import SortOption, SortDir

# Example: Sort by price in descending order
tokens = coinmarketcap.listings_latest(sort_by=SortOption.PRICE, sort_dir=SortDir.DESC)

The FilterOptions parameter

The FilterOptions class allows you to filter the listings by various criteria. Below are the fields you can set to apply filters:

  • price_min and price_max: Filter tokens based on their price range.
  • market_cap_min and market_cap_max: Filter tokens based on their market capitalization range.
  • volume_24h_min and volume_24h_max: Filter tokens based on their 24-hour trading volume range.
  • circulating_supply_min and circulating_supply_max: Filter tokens based on their circulating supply range.
  • percent_change_24h_min and percent_change_24h_max: Filter tokens based on their 24-hour percent change range.
  • tags: Filter tokens that have specified tags.

To use the filter options, create an instance of FilterOptions and pass it to the listings_latest method's filters parameter:

from coinmarketcap import Market, FilterOptions

coinmarketcap = Market(api_key="your_api_key")

# Define your filter criteria
filter_options = FilterOptions(
    tags=['defi', 'smart-contracts']

# Fetch listings with the defined filters
tokens = coinmarketcap.listings_latest(filters=filter_options, limit=10)

for token in tokens:
    print(f"{} - {token.symbol}: ${token.quote_map['USD'].price}")

The AuxFields paramater

The AuxFields enum allows you to specify additional fields to be included in the response data for each token listing. This can provide more detailed information about each token. Below are the auxiliary fields you can request:

  • NUM_MARKET_PAIRS: Number of market pairs available for the token.
  • CMC_RANK: The CoinMarketCap ranking of the token.
  • DATE_ADDED: The date the token was added to CoinMarketCap.
  • TAGS: Tags associated with the token.
  • PLATFORM: The platform on which the token was issued (e.g., Ethereum).
  • MAX_SUPPLY: The maximum supply of the token.
  • TOTAL_SUPPLY: The total supply of the token.
  • MARKET_CAP_BY_TOTAL_SUPPLY: Market cap calculated using the total supply.
  • VOLUME_24H_REPORTED: Reported 24-hour trading volume.
  • VOLUME_7D: Trading volume over the last 7 days.
  • VOLUME_7D_REPORTED: Reported trading volume over the last 7 days.
  • VOLUME_30D: Trading volume over the last 30 days.
  • VOLUME_30D_REPORTED: Reported trading volume over the last 30 days.
  • IS_MARKET_CAP_INCLUDED: Indicates whether the market cap is included in the calculation.

To use these auxiliary fields, pass a list of AuxFields to the listings_latest method:

from coinmarketcap import Market, SortOption, AuxFields

coinmarketcap = Market(api_key="your_api_key")

# Specify auxiliary fields to include in the response
aux_fields = [

tokens = coinmarketcap.listings_latest(

for token in tokens:
    print(f"{} ({token.symbol}) - CMC Rank: {token.cmc_rank}, Market Pairs: {token.num_market_pairs}")

Usage: API quotes_historical

The quotes_historical method facilitates fetching historical quotes for a specific cryptocurrency over a given time range. This feature allows for detailed analysis of cryptocurrency value trends over time in different fiat or cryptocurrencies.

This API requires a 'Hobbyist' or higher tier CMC subscription.

Example Usage

from byteforge_coinmarketcap import Market
from datetime import datetime

market = Market(api_key='your_api_key')

historical_quotes = coinmarketcap.quotes_historical(
    convert=['USD', 'EUR']

for token_state in historical_quotes:
    print(f"{} ({token_state.symbol}) - Date: {datetime.fromtimestamp(token_state.timestamp)}")
    for currency, quote in token_state.quote_map.items():
        print(f"  {currency}: {quote.price}")
# Example output
# Bitcoin (BTC) - Date: 2024-03-01 19:00:00
#  EUR: 57565.10517077225
#  USD: 62431.65248172238
# Bitcoin (BTC) - Date: 2024-03-02 19:00:00
#  EUR: 57196.216977007156
#  USD: 62031.57852286433
# Bitcoin (BTC) - Date: 2024-03-03 19:00:00
#  EUR: 58233.4060759458
#  USD: 63137.00468154272
# Bitcoin (BTC) - Date: 2024-03-04 19:00:00
#  EUR: 62964.80344823259
#  USD: 68341.05778181224        

Interval Parameter Options

When fetching historical quotes, you can specify the interval parameter to determine the granularity of the time series data. There are two types of interval formats you can use:

Calendar Intervals (UTC Time)

  • hourly: Retrieves the first quote available at the beginning of each calendar hour.
  • daily: Retrieves the first quote available at the beginning of each calendar day.
  • weekly: Retrieves the first quote available at the beginning of each calendar week.
  • monthly: Retrieves the first quote available at the beginning of each calendar month.
  • yearly: Retrieves the first quote available at the beginning of each calendar year.

Relative Time Intervals

  • m: Retrieves a quote available every "m" minutes. Supported intervals: 5m, 10m, 15m, 30m, 45m.
  • h: Retrieves a quote available every "h" hours. Supported intervals: 1h, 2h, 3h, 4h, 6h, 12h.
  • d: Retrieves a quote available every "d" days. Supported intervals: 1d, 2d, 3d, 7d, 14d, 15d, 30d, 60d, 90d, 365d.

Please ensure to select the interval that best matches your data analysis needs.


Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
See the License for the specific language governing permissions and
limitations under the License.



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