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 following CoinMarketCap API endpoints:
v1/cryptocurrency/listings/latest: Get the latest market data for all cryptocurrencies
v1/cryptocurrency/map: Get a mapping of all cryptocurrencies to their CoinMarketCap IDs
v2/cryptocurrency/quotes/historical: Get historical quotes for cryptocurrencies (requires Hobbyist tier or higher)
v3/cryptocurrency/quotes/historical: Get historical quotes for cryptocurrencies with enhanced features (requires Hobbyist tier or higher)
v4/dex/listings/info: Get detailed information about specific decentralized exchanges (DEXs)
The listings_latest and map endpoints are available with a free API key from CoinMarketCap. Obtain your free API key by signing up at CoinMarketCap API.
Prerequisites
Installation
Install byteforge-coinmarketcap
pip install byteforge-coinmarketcap
Initialization
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)
CMC's API has rate limits, and will throttle you if you exceed them. If you know what your rate limit is (and you should!) you can initialize the engine with the appropriate value as follows.
coinmarketcap = Market(api_key=API_KEY, rate_limit_per_minute=30)
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.name, token.symbol, token.quote_map['USD'].price)
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.
Please Note: You'll need a hobbyist account or higher to do more than one conversion at a time.
Here's how you can retrieve the latest listings and obtain quotes in USD and BTC for the top 5 cryptocurrencies by market capitalization:
tokens = coinmarketcap.listings_latest(sort_by=SortOption.MARKET_CAP, limit=5, convert=['USD', 'BTC'])
for token in tokens:
btc_price = token.quote_map['BTC'].price
usd_price = token.quote_map['USD'].price
print(f"{token.name} ({token.symbol}): {btc_price} BTC | {usd_price} USD")
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
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")
filter_options = FilterOptions(
price_min=0.01,
price_max=1.00,
market_cap_min=1000000,
volume_24h_min=50000,
tags=['defi', 'smart-contracts']
)
tokens = coinmarketcap.listings_latest(filters=filter_options, limit=10)
for token in tokens:
print(f"{token.name} - {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")
aux_fields = [
AuxFields.NUM_MARKET_PAIRS,
AuxFields.CMC_RANK,
AuxFields.DATE_ADDED,
AuxFields.TAGS,
]
tokens = coinmarketcap.listings_latest(
sort_by=SortOption.MARKET_CAP,
aux_fields=aux_fields,
limit=5
)
for token in tokens:
print(f"{token.name} ({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. You can query either directly by ticker using the ticker paramater or using the id parameter and supply the coinmarketcap id (cmc_id). Using the cmd_id can avoid edge cases when multiple assets share the same ticker.
This API requires a 'Hobbyist' or higher tier CMC subscription.
Example Usage
from byteforge_coinmarketcap import Market
from datetime import datetime
coinmarketcap = Market(api_key='your_api_key')
historical_quotes = coinmarketcap.quotes_historical(
ticker='BTC',
timestamp_start=1709269200,
timestamp_end=1710046800,
interval='daily',
convert=['USD', 'EUR']
)
for token_state in historical_quotes:
print(f"{token_state.name} ({token_state.symbol}) - Date: {datetime.fromtimestamp(token_state.timestamp)}")
for currency, quote in token_state.quote_map.items():
print(f" {currency}: {quote.price}")
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.
Usage: API map
The map endpoint provides a mapping of all cryptocurrencies to their CoinMarketCap IDs, which is essential for making other API calls. This endpoint is particularly useful for obtaining basic information about cryptocurrencies and their identifiers.
Basic Usage
from coinmarketcap import Market, ListingStatus, MapSortOption, MapAuxFields
coinmarketcap = Market(api_key='your_api_key')
token_infos = coinmarketcap.map(
listing_status=ListingStatus.ACTIVE,
limit=5
)
for token in token_infos:
print(f"{token.name} ({token.symbol}) - ID: {token.id}")
Advanced Usage with Filters and Additional Fields
token_infos = coinmarketcap.map(
listing_status=ListingStatus.ACTIVE,
symbols=['BTC', 'ETH', 'SOL'],
sort=MapSortOption.CMC_RANK,
aux_fields=[
MapAuxFields.PLATFORM,
MapAuxFields.FIRST_HISTORICAL_DATA,
MapAuxFields.LAST_HISTORICAL_DATA,
MapAuxFields.IS_ACTIVE
]
)
for token in token_infos:
print(f"{token.name} ({token.symbol})")
print(f" ID: {token.id}")
print(f" Platform: {token.platform}")
print(f" First Historical Data: {token.first_historical_data}")
print(f" Last Historical Data: {token.last_historical_data}")
print(f" Is Active: {token.is_active}")
Parameters
-
listing_status (ListingStatus): Filter by listing status
ACTIVE: Only active cryptocurrencies
INACTIVE: Only inactive cryptocurrencies
UNTRACKED: Only untracked cryptocurrencies
-
start (int): Starting point for pagination (default: 1)
-
limit (int): Number of results to return (default: 100)
-
symbols (List[str]): List of cryptocurrency symbols to filter by
-
sort (MapSortOption): Field to sort results by
ID: Sort by CoinMarketCap ID
CMC_RANK: Sort by CoinMarketCap rank
-
aux_fields (List[MapAuxFields]): Additional fields to include in response
PLATFORM: Platform information
FIRST_HISTORICAL_DATA: First historical data timestamp
LAST_HISTORICAL_DATA: Last historical data timestamp
IS_ACTIVE: Active status
Usage: API fear_and_greed_historical
The fear_and_greed_historical endpoint provides access to the historical Fear & Greed Index data from CoinMarketCap. This index is a market sentiment indicator that helps gauge whether the market is being driven by fear or greed.
Basic Usage
from coinmarketcap import Market
coinmarketcap = Market(api_key='your_api_key')
fear_greed_data = coinmarketcap.fear_and_greed_historical(
start=1,
limit=10
)
for entry in fear_greed_data:
print(f"Timestamp: {entry['timestamp']}")
print(f"Value: {entry['value']}")
print(f"Classification: {entry['value_classification']}")
print("---")
Parameters
start (int): Starting point for pagination (default: 1)
limit (int): Number of results to return (default: 500)
Return Value
The method returns a list of dictionaries, where each dictionary contains:
timestamp (str): Unix timestamp of the measurement
value (int): The fear and greed index value (0-100)
value_classification (str): Classification of the value (e.g., 'Greed', 'Fear', etc.)
The Fear & Greed Index ranges from 0 to 100:
- 0-24: Extreme Fear
- 25-49: Fear
- 50: Neutral
- 51-74: Greed
- 75-100: Extreme Greed
Usage: API dex_listings_info
The dex_listings_info endpoint provides detailed information about specific decentralized exchanges (DEXs) by their CoinMarketCap IDs. Unlike other listing endpoints, this endpoint requires specific DEX IDs and does not support pagination, sorting, or filtering.
Basic Usage
from coinmarketcap import Market
coinmarketcap = Market(api_key='your_api_key')
dex_info = coinmarketcap.dex_listings_info(ids=11955)
for dex in dex_info:
print(f"{dex.name} ({dex.id})")
print(f"Slug: {dex.slug}")
print(f"Status: {dex.status}")
Usage with Auxiliary Fields
To get more detailed information, you can specify auxiliary fields:
from coinmarketcap import Market
from coinmarketcap.core import DexAuxFields
coinmarketcap = Market(api_key='your_api_key')
dex_info = coinmarketcap.dex_listings_info(
ids=11955,
aux_fields=[
DexAuxFields.URLS,
DexAuxFields.LOGO,
DexAuxFields.DESCRIPTION,
DexAuxFields.DATE_LAUNCHED,
DexAuxFields.NOTICE
]
)
for dex in dex_info:
print(f"{dex.name} ({dex.id})")
print(f"Logo: {dex.logo}")
print(f"Description: {dex.description}")
print(f"Date Launched: {dex.date_launched}")
print(f"Notice: {dex.notice}")
if dex.urls:
print(f"Website: {dex.urls.website}")
print(f"Twitter: {dex.urls.twitter}")
print(f"Blog: {dex.urls.blog}")
print(f"Chat: {dex.urls.chat}")
print(f"Fee Info: {dex.urls.fee}")
Multiple DEXs
You can retrieve information for multiple DEXs at once:
dex_info = coinmarketcap.dex_listings_info(
ids=[11955, 12345, 67890],
aux_fields=[DexAuxFields.URLS, DexAuxFields.LOGO]
)
for dex in dex_info:
print(f"{dex.name} - Status: {dex.status}")
if dex.urls and dex.urls.website:
print(f" Website: {dex.urls.website[0]}")
Parameters
-
ids (Union[int, List[int]]): Required. Single DEX ID or list of DEX IDs to retrieve information for. At least one ID must be provided.
-
aux_fields (List[DexAuxFields], optional): Additional fields to include in the response:
URLS: URLs associated with the DEX (website, twitter, blog, chat, fee)
LOGO: Logo URL for the DEX
DESCRIPTION: Description of the DEX
DATE_LAUNCHED: Launch date of the DEX
NOTICE: Any notices or announcements about the DEX
Return Value
The method returns a list of DexInfo objects, where each object contains:
id (int): CoinMarketCap DEX ID
name (str): Name of the DEX
slug (str): URL slug for the DEX
status (str): Current status (e.g., 'active')
logo (str, optional): Logo URL (if requested via aux_fields)
description (str, optional): DEX description (if requested via aux_fields)
date_launched (str, optional): Launch date (if requested via aux_fields)
notice (str, optional): Notice text (if requested via aux_fields)
urls (DexUrls, optional): URL collection (if requested via aux_fields)
timestamp (int): Timestamp when the data was retrieved
Important Notes
- DEX IDs Required: Unlike other listing endpoints, this endpoint requires specific DEX IDs. You cannot get a general listing of all DEXs.
- No Pagination/Sorting: This endpoint does not support pagination, sorting, or filtering parameters.
- Auxiliary Fields: Without auxiliary fields, only basic information (id, name, slug, status) is returned.
Monitoring API Usage
As you utilize the API, it's important to manage the number of requests to stay within your plan's limits. The safe_daily_call_limit function provides an easy way to verify your daily API limits against your monthly call budget.
Purpose
The safe_daily_call_limit method estimates the number of API calls you can make during the current day without exceeding your monthly limit. This is crucial for applications that need to manage request rates or distribute API calls evenly throughout a billing period.
Usage
- Call the
safe_daily_call_limit Method:
Use the safe_daily_call_limit method to find out how many API calls you can safely make per day without exhausting your quota. It's up to you to store a counter for this and track your daily usage. The SDK call is stateless and just uses some simple math to determine this value.
safe_calls_per_day = coinmarkectap.safe_daily_call_limit()
print(f"You can safely make {safe_calls_per_day} calls per day.")
Note
- Accuracy: Please note that this function provides an approximation. If your daily API call volume varies significantly, consider implementing more detailed tracking mechanisms.
- Reset Timing: Be aware of your API subscription details, especially when the monthly call count resets, as this will affect the calculations.
License:
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
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.