Data Sources
Ticker support lookup, provider families, .SIM methodology, and drift interpretation.
On this page
Use this page
Use this page to answer:
- Is this ticker or workflow already supported?
- Should you use live data, a .SIM ticker, a generated input, a Research Ticker, or an uploaded series?
- If a .SIM ticker exists, how was it built and how closely does it track the live ETF?
SIM catalog
.SIM tickers use the naming convention TICKER.SIM. Examples include VLV.SIM, TLT.SIM, and UPRO.SIM. These tickers provide extended histories for asset classes that did not exist as ETFs in earlier decades. Each .SIM ticker maps to a real ETF and uses academic or government data sources to reconstruct returns before the ETF existed. Post-inception, the series stitches the synthetic model to actual ETF data, so you get real market prices where available.
Signed-out visitors can use a core set of .SIM tickers, listed on Plans and limits. Every other .SIM ticker needs a free account.
Ticker lookup
Enable JavaScript to look up a ticker or inspect the live .SIM catalog. The source families and construction methods below are available without it.
Inspect a .SIM ticker
Select a .SIM ticker to view its generation methodology, data sources, and model accuracy since ETF inception. The drift chart is the fastest way to see whether a model is close enough for your use case.
Provider families
ArthaPilot uses several data sources:
- InsightSentry: primary source for daily price data on US equities and ETFs.
- FRED (federal reserve economic data): macroeconomic time series including Treasury yields, CPI, and interest rates.
- Coin metrics community: public crypto market data for supported digital assets.
- Fama-French: academic factor data from Ken French's Data Library, including size, value, and daily portfolio returns back to 1926.
- Shiller: Robert Shiller's long-history dataset for the S&P 500, including total return index and CPI going back to 1871.