---
title: "Alternative Data"
description: "The QuantConnect data provider can stream live alternative data into your algorithms to help you make informed trading decisions."
canonical: https://www.quantconnect.com/docs/v2/cloud-platform/datasets/quantconnect/alternative-data
markdown: https://www.quantconnect.com/docs/v2/cloud-platform/datasets/quantconnect/alternative-data.md
language: python
source: https://github.com/QuantConnect/Documentation/tree/master/01%20Cloud%20Platform/09%20Datasets/07%20QuantConnect/10%20Alternative%20Data
modified: 2026-10-30
index: https://www.quantconnect.com/llms.txt
---

# Alternative Data

[Documentation](https://www.quantconnect.com/docs/v2.md) > [Cloud Platform](https://www.quantconnect.com/docs/v2/cloud-platform.md) > [Datasets](https://www.quantconnect.com/docs/v2/cloud-platform/datasets.md) > [QuantConnect](https://www.quantconnect.com/docs/v2/cloud-platform/datasets/quantconnect.md) > Alternative Data

> Code examples are shown in Python. Append `?lang=csharp` to this URL for the C# version of this page.

## Introduction

The QuantConnect data provider can stream live alternative data into your algorithms to help you make informed trading decisions.

## Sourcing

The QuantConnect data provider sources alternative data directly from [data vendors](https://www.quantconnect.com/docs/v2/cloud-platform/datasets/vendors.md). To view all of the integrated data vendors, see the [Dataset Market](https://www.quantconnect.com/datasets).

## Delivery

The delivery schedule of alternative data depends on the specific dataset you're using. We inject the data into your algorithms when the vendor provides the data. For most alternative datasets, the data is updated on a daily or hourly basis. Some datasets, like the [Tiingo News Feed](https://www.quantconnect.com/datasets/tiingo-news-feed) or [Benzinga News Feed](https://www.quantconnect.com/datasets/benzinga-news-feed), include a live stream. In these cases, we deliver the data as a live stream to your algorithm.

Most live trading algorithms run on co-located servers racked in [Equinix](https://www.quantconnect.com/docs/v2/cloud-platform/live-trading/getting-started.md#07-Redundancy). Co-location reduces several factors that can interfere with your algorithm, including downtime from internet outages, equipment repairs, and natural disasters.

Live data takes time to travel from the source to your algorithm. The latency of the alternative data depends on the specific dataset you're using.

## Historical Data

When you [request historical data](https://www.quantconnect.com/docs/v2/writing-algorithms/historical-data/history-requests.md) or run [warm-up](https://www.quantconnect.com/docs/v2/writing-algorithms/historical-data/warm-up-periods.md), the amount of historical data you can access depends on the resolution of your data subscriptions. The following table shows the amount of trailing historical data you can access for each data resolution:

| Resolution | Available History |
| --- | --- |
| Daily | All historical data |
| Hour | All historical data |
| Minute | 1 year |
| Second | 2 months |
| Tick | 1 month |

## Pricing

Refer to the [Dataset Market](https://www.quantconnect.com/datasets) listings.