Market research

AARTX Stone Ridge Art Risk Premium Fund

NMFQS USD Not available

Latest close

10.62 —

As of 30 Oct 2026

Test a moving-average rule with historical data.

Market facts

Market cap: Not available
P/E ratio: Not available
Analyst target: Not available
Dividend yield: Not available
Beta: Not available

Loading price history…

Stored daily observations

Recent price history

Quote currency: USD. The close is unadjusted; adjusted close reflects stored price adjustments. These are historical observations, not live quotes.

Up to five recent stored daily observations for AARTX.
Date	Close	Adjusted close
30 Oct 2026	10.62	10.62
29 Oct 2026	10.62	10.62
28 Oct 2026	10.62	10.62
27 Oct 2026	10.62	10.62
23 Oct 2026	10.62	10.62

Stored daily observations begin 05 Nov 2024. This summary does not establish continuous or point-in-time-qualified coverage. Backtests validate their own required dates, sources and eligibility.

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Profile

Instrument facts

Exchange: NMFQS
Currency: USD
ISIN: Not available
Market cap: Not available
P/E ratio: Not available
Analyst target: Not available
Dividend yield: Not available
Beta: Not available
MarketCapitalization: Not available

About

About Stone Ridge Art Risk Premium Fund

A company description is not available for this instrument.

Research context

Stone Ridge Art Risk Premium Fund appears in PyInvesting’s FUND catalogue. The price history above describes this recorded instrument; it does not by itself identify a company’s business or establish a continuous investment return.

Currency: USD

These are the latest stored catalogue classifications, not a historical classification snapshot. An issuer description, classification effective date or currency may be unavailable. Check the issuer’s own disclosures and the observation dates before using these fields for research.

Review backtest assumptions and evidence before treating a chart or stored history as a research result.

Fundamentals are not available

This instrument does not currently have reported company financials in PyInvesting.

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