pypi-indices-api 0.3
A Python package to get the latest indices from the Indices-API
Keywords: indices-api, precious Indicesapi, Indicesapi, Indices, precious Indices, gold, silver, Platinum, Palladium, Ruthenium, Rhodium, forex data, rates, money, usd, eur, btc, forex api, gbp to usd, gbp to eur, eur to usd, api, currency api, exchange rate api, get currency rates api, currency rates php, usd to eur api, copper, nickel, aluminium, TIN, Zinc

# Indices-API

[![Indices-API](https://indices-api.com/img/logoIndices.png)](https://indices-api.com)

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**Indices-API** – The ultimate solution for seamless access to real-time and historical data on global stock market indices. With support for 100+ symbols and updates every 60 seconds, Indices-API delivers accurate and comprehensive data with ease.

Track major indices like the SSE Composite, Amsterdam AEX, S&P/ASX 200, S&P BSE SENSEX, Dow Jones Industrial Average, S&P 500, and many more. 

Try the Start 7-Day Free Trial. Cancel anytime at your convenience.

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## Key Features:

- **Built for Developers:** Tailored for developers, ensuring ease of use and seamless integration.
- **Robust JSON API:** A powerful JSON API designed for accurate and efficient data retrieval.
- **Top-Tier Security:** Trust Indices-API with advanced security measures to protect your data.
- **Reliable Data Sources:** Benefit from reliable and accurate data from trusted sources.
- **Flexible Integration:** Easily integrate Indices-API into any language for diverse applications.
- **Historical Data Access:** Dive into historical data for comprehensive analysis and informed decision-making.
- **Exceptional Accuracy:** Rely on Indices-API for spot-on accuracy in real-time and historical data.
- **User-Friendly Documentation:** Navigate through our comprehensive documentation for a smooth integration process.
- **Specialized Support:** Count on our dedicated support team for assistance tailored to your specific needs.

## Supported Indices

Explore a wide range of global stock market indices, from major regional benchmarks to currency and volatility indices. Whether you're tracking the S&P 500, Dow Jones, Nikkei 225, FTSE 100, or SSE Composite, Indices-API provides real-time and historical data with unmatched reliability.

Our coverage spans:

- Regional Stock Indices (US, Europe, Asia, Latin America)
- Global Market Indices
- Currency-Based Indices
- Volatility Indices

Stay up to date with over 100 supported symbols, including:

🟢 NYSE Composite (NYA)
🟢 NASDAQ Composite (IXIC)
🟢 DAX Performance (GDAXI)
🟢 Nikkei 225 (N225)
🟢 S&P/ASX 200 (AXJO)
🟢 FTSE 100 (FTSE)
🟢 Hang Seng (HSI)
🟢 IBOVESPA (BVSP)
🟢 S&P BSE SENSEX (BSESN)
🟢 SSE Composite (000001)
… and many more.
[View All Supported Indices](https://www.indices-api.com/symbols).

## Documentation

For detailed information on API endpoints, usage, and integration guidelines, check our [API Documentation](https://www.indices-api.com/documentation).

Start using Indices-API today for unparalleled access to indices data. Visit [Indices-API.com](https://indices-api.com) and integrate in just minutes!


## Installation

You can install Indices-API Python SDK with pip.

```bash
pip indices-api
```

## Usage

The Indices-API Python SDK is a wrapper around the [requests](https://docs.python-requests.org/en/master/) library. Indices-API supports a GET request for now.

Sign-up to Indices-API to [get your API key](https://indices-api.com/register) and some credits to get started.

### Making the GET request

```python
>>> from indices_api import IndicesApiClient

>>> client = IndicesApiClient(access_key='REPLACE-WITH-YOUR-ACCESS-KEY')

>>> response = client.get_latest("base", ["symbols"])
```

### Request Example

```python
>>> from indices_api import IndicesApiClient

>>> client = IndicesApiClient(access_key='REPLACE-WITH-YOUR-ACCESS-KEY')

>>> response = client.get_latest("USD", ["NYA", "GSPC", "MERV"])
```

### Response Example

```json
{
  "data": {
    "success": true,
    "timestamp": 1748638260,
    "date": "2025-05-30",
    "base": "USD",
    "rates": {
      "GSPC": 0.0001691918551041,
      "MERV": 0.00051296350856518,
      "NYA": 0.000050530698662705,
      "USDGSPC": 5910.44999999984,
      "USDMERV": 1949.45641025639,
      "USDNYA": 19789.95
    }
  }
}
```

### AVAILABLE METHODS

```python
>>> get_latest(base: str, symbols: List[str])
```

```python
>>> get_historical(date:str, base:str, symbols: List[str])
```

```python
>>> get_time_series(start_date: str, end_date: str, symbol: str)
```