| Name | byteforge-coinmarketcap JSON |
| Version |
1.62
JSON |
| download |
| home_page | None |
| Summary | Python SDK for the coinmarketcap.com API. |
| upload_time | 2024-09-27 15:39:25 |
| maintainer | None |
| docs_url | None |
| author | Jason Byteforgia |
| requires_python | >=3.8 |
| license | Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. 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While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "{}" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright 2014-2017 Martin Simon 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. |
| keywords |
api
btc
bitcoin
eth
ethereum
ltc
litecoin
ripple
xrp
coinmarketcap
cryptocurrency
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
requests
requests-cache
pytest
python-dateutil
requests-ratelimiter
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 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](https://github.com/barnumbirr/coinmarketcap)). 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](https://pro.coinmarketcap.com/signup/).
It also supports the `/v2/cryptocurrency/quotes/historical` endpoint which requires a paid 'Hobbyist' level account or higher.
## Prerequisites
- An API key from [CoinMarketCap Pro](https://pro.coinmarketcap.com/signup/).
## Installation
Install byteforge-coinmarketcap
```bash
pip install byteforge-coinmarketcap
```
## Initialization
First, create an instance of the `Market` class with your API key:
```python
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
```python
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)
# 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.
**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:
```python
# 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.name} ({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:
```python
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:
```python
from coinmarketcap import Market, FilterOptions
coinmarketcap = Market(api_key="your_api_key")
# Define your filter criteria
filter_options = FilterOptions(
price_min=0.01,
price_max=1.00,
market_cap_min=1000000,
volume_24h_min=50000,
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.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:
```python
from coinmarketcap import Market, SortOption, AuxFields
coinmarketcap = Market(api_key="your_api_key")
# Specify auxiliary fields to include in the response
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
```python
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}")
# 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.
To include the new `calls_left_today` routine in your existing project documentation, add a section that explains its purpose, usage, and example code on how to call it. Below is a suggested format for including this information in your README:
## 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
2. **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.
```python
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.
```
Raw data
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"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
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"keywords": "API, BTC, Bitcoin, ETH, Ethereum, LTC, Litecoin, Ripple, XRP, coinmarketcap, cryptocurrency",
"author": "Jason Byteforgia",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/0e/bb/3419561da90bd185a1a57c6f3c5d564206a465b3abf6ceea925a6af1bd4b/byteforge_coinmarketcap-1.62.tar.gz",
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"description": "# About This Project\n\nThis project is a fork of Martin Simon's 'coinmarketcap' module, which had not been updated for a long while ([original repository](https://github.com/barnumbirr/coinmarketcap)). 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.\n\nThis 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](https://pro.coinmarketcap.com/signup/). \n\nIt also supports the `/v2/cryptocurrency/quotes/historical` endpoint which requires a paid 'Hobbyist' level account or higher.\n\n## Prerequisites\n\n- An API key from [CoinMarketCap Pro](https://pro.coinmarketcap.com/signup/).\n\n## Installation\n\nInstall byteforge-coinmarketcap\n\n```bash\npip install byteforge-coinmarketcap\n```\n\n## Initialization\n\nFirst, create an instance of the `Market` class with your API key:\n\n```python\nfrom coinmarketcap import Market\nfrom coinmarketcap import SortOption\n\nAPI_KEY = 'your_api_key_here'\ncoinmarketcap = Market(api_key=API_KEY)\n```\n\n## General Instructions\n\nThis 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. \n\n\n## Usage: API listings_latest\n\nGet 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\")\n\n### Simple Usage\n\n```python\ntoken_states = coinmarketcap.listings_latest(sort_by=SortOption.MARKET_CAP, limit=5)\n\nfor token in tokens:\n print(token.name, token.symbol, token.quote_map['USD'].price)\n\n# Bitcoin BTC 51121.78037849647\n# Ethereum ETH 2912.0337516792188\n# Tether USDt USDT 0.9996898483447065\n# BNB BNB 369.2725354702457\n# Solana SOL 103.68827889524766\n```\n### The `convert` parameter\n\nThe `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.\n\n**Please Note:** You\u2019ll need a hobbyist account or higher to do more than one conversion at a time.\n\nHere's how you can retrieve the latest listings and obtain quotes in USD and BTC for the top 5 cryptocurrencies by market capitalization:\n\n```python\n# Fetch listings with market cap sort, limited to the top 5, converting quotes to USD and BTC\ntokens = coinmarketcap.listings_latest(sort_by=SortOption.MARKET_CAP, limit=5, convert=['USD', 'BTC'])\n\n# Iterate through each token to display its name, symbol, and quotes in BTC and USD\nfor token in tokens:\n btc_price = token.quote_map['BTC'].price\n usd_price = token.quote_map['USD'].price\n print(f\"{token.name} ({token.symbol}): {btc_price} BTC | {usd_price} USD\")\n\n# Example output:\nBitcoin (BTC): 1 BTC | 67393.03455553834 USD\nEthereum (ETH): 0.052078986669438124 BTC | 3509.760948230864 USD\nTether USDt (USDT): 1.4836675143579e-05 BTC | 0.9998885606405162 USD\nSolana (SOL): 0.002940752776384911 BTC | 198.1862534782036 USD\nBNB (BNB): 0.008168244957149958 BTC | 550.4828146553089 USD\n```\n\n### The `SortOption` parameter\n\nThe `SortOption` enum provides various parameters you can use to sort the listings fetched from CoinMarketCap. Below are the available sort options:\n\n- `MARKET_CAP`: Sort by market capitalization.\n- `MARKET_CAP_STRICT`: Strict sorting by market capitalization.\n- `NAME`: Sort by the name of the token.\n- `SYMBOL`: Sort by the symbol of the token.\n- `DATE_ADDED`: Sort by the date the token was added to CoinMarketCap.\n- `PRICE`: Sort by the price of the token.\n- `CIRCULATING_SUPPLY`: Sort by circulating supply.\n- `TOTAL_SUPPLY`: Sort by total supply.\n- `MAX_SUPPLY`: Sort by maximum supply.\n- `NUM_MARKET_PAIRS`: Sort by the number of market pairs.\n- `MARKET_CAP_BY_TOTAL_SUPPLY_STRICT`: Strict sorting by market capitalization by total supply.\n- `VOLUME_24H`: Sort by 24-hour volume.\n- `VOLUME_7D`: Sort by 7-day volume.\n- `VOLUME_30D`: Sort by 30-day volume.\n- `PERCENT_CHANGE_1H`: Sort by percent change in the last hour.\n- `PERCENT_CHANGE_24H`: Sort by percent change in the last 24 hours.\n- `PERCENT_CHANGE_7D`: Sort by percent change in the last 7 days.\n\nTo 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:\n\n```python\nfrom coinmarketcap import SortOption, SortDir\n\n# Example: Sort by price in descending order\ntokens = coinmarketcap.listings_latest(sort_by=SortOption.PRICE, sort_dir=SortDir.DESC)\n```\n\n### The `FilterOptions` parameter\n\nThe `FilterOptions` class allows you to filter the listings by various criteria. Below are the fields you can set to apply filters:\n\n- `price_min` and `price_max`: Filter tokens based on their price range.\n- `market_cap_min` and `market_cap_max`: Filter tokens based on their market capitalization range.\n- `volume_24h_min` and `volume_24h_max`: Filter tokens based on their 24-hour trading volume range.\n- `circulating_supply_min` and `circulating_supply_max`: Filter tokens based on their circulating supply range.\n- `percent_change_24h_min` and `percent_change_24h_max`: Filter tokens based on their 24-hour percent change range.\n- `tags`: Filter tokens that have specified tags.\n\nTo use the filter options, create an instance of `FilterOptions` and pass it to the `listings_latest` method's `filters` parameter:\n\n```python\nfrom coinmarketcap import Market, FilterOptions\n\ncoinmarketcap = Market(api_key=\"your_api_key\")\n\n# Define your filter criteria\nfilter_options = FilterOptions(\n price_min=0.01,\n price_max=1.00,\n market_cap_min=1000000,\n volume_24h_min=50000,\n tags=['defi', 'smart-contracts']\n)\n\n# Fetch listings with the defined filters\ntokens = coinmarketcap.listings_latest(filters=filter_options, limit=10)\n\nfor token in tokens:\n print(f\"{token.name} - {token.symbol}: ${token.quote_map['USD'].price}\")\n```\n\n### The `AuxFields` paramater\n\nThe `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:\n\n- `NUM_MARKET_PAIRS`: Number of market pairs available for the token.\n- `CMC_RANK`: The CoinMarketCap ranking of the token.\n- `DATE_ADDED`: The date the token was added to CoinMarketCap.\n- `TAGS`: Tags associated with the token.\n- `PLATFORM`: The platform on which the token was issued (e.g., Ethereum).\n- `MAX_SUPPLY`: The maximum supply of the token.\n- `TOTAL_SUPPLY`: The total supply of the token.\n- `MARKET_CAP_BY_TOTAL_SUPPLY`: Market cap calculated using the total supply.\n- `VOLUME_24H_REPORTED`: Reported 24-hour trading volume.\n- `VOLUME_7D`: Trading volume over the last 7 days.\n- `VOLUME_7D_REPORTED`: Reported trading volume over the last 7 days.\n- `VOLUME_30D`: Trading volume over the last 30 days.\n- `VOLUME_30D_REPORTED`: Reported trading volume over the last 30 days.\n- `IS_MARKET_CAP_INCLUDED`: Indicates whether the market cap is included in the calculation.\n\nTo use these auxiliary fields, pass a list of `AuxFields` to the `listings_latest` method:\n\n```python\nfrom coinmarketcap import Market, SortOption, AuxFields\n\ncoinmarketcap = Market(api_key=\"your_api_key\")\n\n# Specify auxiliary fields to include in the response\naux_fields = [\n AuxFields.NUM_MARKET_PAIRS,\n AuxFields.CMC_RANK,\n AuxFields.DATE_ADDED,\n AuxFields.TAGS,\n]\n\ntokens = coinmarketcap.listings_latest(\n sort_by=SortOption.MARKET_CAP, \n aux_fields=aux_fields, \n limit=5\n)\n\nfor token in tokens:\n print(f\"{token.name} ({token.symbol}) - CMC Rank: {token.cmc_rank}, Market Pairs: {token.num_market_pairs}\")\n```\n\n## Usage: API quotes_historical\n\n\nThe `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.\n\nThis API requires a 'Hobbyist' or higher tier CMC subscription.\n\n### Example Usage\n\n```python\nfrom byteforge_coinmarketcap import Market\nfrom datetime import datetime\n\ncoinmarketcap = Market(api_key='your_api_key')\n\nhistorical_quotes = coinmarketcap.quotes_historical(\n ticker='BTC',\n timestamp_start=1709269200,\n timestamp_end=1710046800,\n interval='daily',\n convert=['USD', 'EUR']\n)\n\nfor token_state in historical_quotes:\n print(f\"{token_state.name} ({token_state.symbol}) - Date: {datetime.fromtimestamp(token_state.timestamp)}\")\n for currency, quote in token_state.quote_map.items():\n print(f\" {currency}: {quote.price}\")\n \n# Example output\n# Bitcoin (BTC) - Date: 2024-03-01 19:00:00\n# EUR: 57565.10517077225\n# USD: 62431.65248172238\n# Bitcoin (BTC) - Date: 2024-03-02 19:00:00\n# EUR: 57196.216977007156\n# USD: 62031.57852286433\n# Bitcoin (BTC) - Date: 2024-03-03 19:00:00\n# EUR: 58233.4060759458\n# USD: 63137.00468154272\n# Bitcoin (BTC) - Date: 2024-03-04 19:00:00\n# EUR: 62964.80344823259\n# USD: 68341.05778181224 \n```\n\n### Interval Parameter Options\n\nWhen 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:\n\n### Calendar Intervals (UTC Time)\n- `hourly`: Retrieves the first quote available at the beginning of each calendar hour.\n- `daily`: Retrieves the first quote available at the beginning of each calendar day.\n- `weekly`: Retrieves the first quote available at the beginning of each calendar week.\n- `monthly`: Retrieves the first quote available at the beginning of each calendar month.\n- `yearly`: Retrieves the first quote available at the beginning of each calendar year.\n\n### Relative Time Intervals\n- `m`: Retrieves a quote available every \"m\" minutes. Supported intervals: `5m`, `10m`, `15m`, `30m`, `45m`.\n- `h`: Retrieves a quote available every \"h\" hours. Supported intervals: `1h`, `2h`, `3h`, `4h`, `6h`, `12h`.\n- `d`: Retrieves a quote available every \"d\" days. Supported intervals: `1d`, `2d`, `3d`, `7d`, `14d`, `15d`, `30d`, `60d`, `90d`, `365d`.\n\nPlease ensure to select the interval that best matches your data analysis needs.\n\n\nTo include the new `calls_left_today` routine in your existing project documentation, add a section that explains its purpose, usage, and example code on how to call it. Below is a suggested format for including this information in your README:\n\n## Monitoring API Usage\n\nAs 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.\n\n### Purpose\n\nThe `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.\n\n### Usage\n\n2. **Call the `safe_daily_call_limit` Method**:\n 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.\n\n```python\nsafe_calls_per_day = coinmarkectap.safe_daily_call_limit()\nprint(f\"You can safely make {safe_calls_per_day} calls per day.\")\n```\n\n### Note\n\n- **Accuracy**: Please note that this function provides an approximation. If your daily API call volume varies significantly, consider implementing more detailed tracking mechanisms.\n- **Reset Timing**: Be aware of your API subscription details, especially when the monthly call count resets, as this will affect the calculations.\n\n\n## License:\n\n```\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n```\n",
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