RMIRiverNorth Opportunistic Municipal Income Fund, Inc. Common Stock

FUNDNew York Stock Exchange (XNYS)·USD

Identity

Security key: 21044
Ticker: RMI
Type: FUND — Fund
Exchange: New York Stock Exchange(XNYS)
Venue group: NYSE
Operating MIC: XNYS
Market: stocks
Locale: us
Currency: USD
Listed: —
Round lot: 100
Active: Yes
Last seen in a load: 2026-08-14 20:49
Vendor updated: 2026-08-13 06:09
Ticker root / suffix: RMI

Detail

Enriched 2026-08-14 20:47

Market cap: $99,442,808.4
Shares outstanding (class): 6,374,539
Shares outstanding (weighted): 6,374,539
SIC: —
Employees: —
Location: —
Homepage: https://www.rivernorth.com
Description: RiverNorth Opportunistic Municipal Income Fund, Inc. is a diversified, closed-end management investment company. Its investment objective is to seek current income exempt from regular U.S. federal income taxes. The Fund's secondary investment objective is total return.

Market cap and share counts drift.

Funds holding this security

1 funds · 1 positions · $2.36M reported value, as of 2026-03-31

All holders →

Fund	Ticker	Position value	% of fund	Balance	Match
Robinson Tax Advantaged Income Fund INVESTMENT MANAGERS SERIES TRUST	—	$2.36M	1.04%	156,955 NS	FIGI

How positions resolve to the securities master. FIGI_COMPOSITE is exact identifier equality — both sides got the FIGI from Bloomberg. TICKER is a narrow fallback used only where the master row carries no FIGI at all (2,389 rows do not, disproportionately Irish-domiciled US listings like LIN and ACN). Roughly 22% of all positions resolve to the master.

Funds holding this security

Identifiers

master.security_identifier

TICKERRMI
FIGI_COMPOSITEBBG00LGRFZP5
FIGI_SHARE_CLASSBBG00LGRG0F2
CIK0001746967
ISINUS76883F1084
Resolved through OpenFIGI from a holdings ISIN, not supplied by the securities vendor.

Identifiers

Classification

classification.v_security_classification

Asset class: Bond
Sector: Municipal
Industry: —
Source: LLMunreviewed
Self-reported confidence: 0.8
Model: deepseek
Rationale: Fund provides exposure to municipal bonds, but not specifically to one industry.

Classifications are unreviewed model output. All 5,771 assignments carry source = LLM and is_reviewed = false. Confidence is the model’s own estimate and is not calibrated — it clustered at 0.90–0.98 across the whole first pass, including rows that later proved wrong. Use it to order a review queue, not as a probability. Two share classes of one issuer can disagree.

Classification

Fund data

Not linked to a fund series.

Either this is not a fund, or it is one the SEC share-class snapshot cannot reach — commodity trusts and notes have no series ID at all.