Fincanva offers extensive historical data to support long-term investment research and deep market analysis. The platform's datasets span centuries in some cases, allowing users to simulate strategies across multiple economic cycles and historic events. Here's a breakdown of the earliest available years for each major data type:
Data Type | Available From | Description |
---|---|---|
Simulation Engine Access | 1800 | Simulations can be run as far back as the 19th century, enabling robust historical analysis. |
Stocks (Price Data) | 1990 | Includes pricing for equities across supported regions like the U.S., UK, and EU. |
ETPs (ETFs, ETNs, etc.) Price Data | 2000 | Covers a wide range of exchange-traded products, categorized by type and exchange. |
Cryptocurrencies | 2010 | Historical pricing for major cryptocurrencies enables backtesting of digital asset strategies. |
Stocks – Total Return Indices | 1800 | Captures price plus dividend returns, essential for measuring true performance over time. |
Stocks – Market Cap Total Return Indices | 1926 | Offers insights into the growth of large-cap markets with reinvested dividends. |
Stocks – Factors Total Return Indices | 1926 | Includes long-term factor data (value, momentum, etc.) used in academic and professional finance. |
Treasury Bonds – Total Return Indices | 1800 | Enables long-run analysis of government bond performance. |
Corporate Bonds – Total Return Indices | 1927 | Tracks returns of corporate debt over nearly a century. |
Gold Series | 1915 | Historical pricing for gold, useful for commodity and inflation-hedge strategies. |
Macroeconomic Data | 1800 | Includes GDP, inflation, interest rates, and more, tied to their original release dates for realism. |
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