Portfolio with Mutual Funds

Based on the information provided in the extracts, QuantConnect does provide a vast library of data for backtesting, research, and live trading. This includes data for Equities, Options, Futures, CFDs, Forex, Crypto, Indices, and alternative data. However, there is no specific mention of Mutual Funds data like FSKAX.

If the data for the mutual funds you're interested in is not available in QuantConnect's data library, you might need to create your own custom dataset. QuantConnect does support custom data importing, as mentioned in the forum discussion extract. However, it's important to note that the Research Environment doesn't have access to the internet for security reasons, which might limit your ability to fetch data from external sources.

Before proceeding with creating a custom dataset, I would recommend checking the Dataset Market to see all of the datasets that QuantConnect has available. If you still can't find the data you need, you might need to consider other options like using a proxy for the mutual funds based on the assets they're composed of, if that data is available.

Here is an example of how to add custom data in Python:

qb = QuantBook()
# Add your custom data
custom_data = qb.AddData(CustomDataType, "custom_data_source")

Please replace CustomDataType with the type of your custom data and "custom_data_source" with the source of your custom data.

Remember to review the QuantConnect documentation and forum discussions for more information and examples.