Market research

OIBR-R Oi SA ADR Rts 12/17/2018

NYSE USD Other

Latest close

1.69 —

As of 29 Dec 2024

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: nan%
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 OIBR-R.
Date	Close	Adjusted close
29 Dec 2024	1.69	1.69
28 Dec 2024	1.69	1.69
27 Dec 2024	1.69	1.69
26 Dec 2024	1.69	1.69
25 Dec 2024	1.69	1.69

Stored daily observations begin 02 Jan 2002. 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: NYSE
Currency: USD
Sector: Other
Industry: Other
ISIN: Not available
Market cap: Not available
P/E ratio: Not available
Analyst target: Not available
Dividend yield: nan%
Beta: Not available
MarketCapitalization: Not available

About

About Oi SA ADR Rts 12/17/2018

A company description is not available for this instrument.

Research context

Oi SA ADR Rts 12/17/2018 appears in PyInvesting’s US Stock 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
Sector: Other
Industry: Other

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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