You can assume a stochastic process for each security, and conduct a Monte Carlo simulation, generating different realization of porfolio values. For the stock, a Geometric Browinian Motion or a broader Levy process, would be ok. This should be the process of the underlying stock in case of the option, in order to price the option. For the bond, define a ...
This is the ticker information for Eurexchange Index Dividend Futures
This is the information for EURO STOXX 50® Index Dividend Futures (FEXD)
Enter those into BBG or Reuters to get historical data.
Contact Deutche Borse for historical data
404 on their historical data shop. Email them
You will have to build it yourself.
Reference to StackExchange question regarding data sources to build it.
What are the most comprehensive APIs for cryptocurrency market data?
Example Resources ( I have no affiliation, just first result on google)
No. I’m watching the management of a penny stock manipulate its share price by announcing a reverse stock split and yahoo hasn’t adjusted its prices going on a week and a half. The algorithms thinks it’s a huge breakout and are buying. There’s plenty of opportunity to pickoff bad data.
I don't know of any single dataset that encompasses everything you're looking for, even including the standard heavyweight commercial sources (which cost $250k+ per year).
Equity data is typically distinct from ETF data, and fundamental data is typically separate still. High-frequency data is a different animal beyond those (eg, 1-min bars).
It kind ...