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The Gaston Gazette in Gastonia, North Carolina

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Articles on This Page

This newspaper page contains 11 articles. Subscribers can read the full text of each article.

Newspaper

The Gaston Gazette

Location

Gastonia, North Carolina, United States of America

Date

Jun 06, 1995

Page

6

Fragmented OCR list of figures and brands across entries

A dense OCR fragment listing numerous brands, percentages, and codes such as AcivaG, AFLACh, AmExp, Apple, ArchPetra, AT&T, AutoZone, Avon, Autodesk, and others. The garbled data includes percentages, ratios, and numeric strings with scattered product and company names, resembling a catalog-like compilation rather than a cohesive news item.

AllanPh Gia Ge Alcoas Ameros Saan Wens Heesen Amsco Ashland At&t

Technology stocks spark another high

The market rose to new highs as technology shares led the advance. The Dow Jones closed up 32.16 at 4476.55 and several measures reached record closes. IBM offer to pay 60 a share for Lotus Development aided optimism amid bond market gains and a steady dollar.

Dow Jones International Business Machines Lotus Development Wall Street

Annual rate and bonus details in past year report

An annual rate includes at least one extra paid in the past year, with the cents column indicating the sum of the most recent payments. This brief summarizes the payment record and highlights recent bonuses tied to the rate.

Fragmented numeric data from a historical stock list page

A dense OCR extract with mixed numbers, percents, and lettered codes. It lists numerous company tickers and figures, but many items are garbled or incomplete. The readable portions resemble a financial table with percentages, shares, and prices across multiple firms.

Improbable List of Numbers Reflects Hidden Market Float

A garbled OCR snippet shows a dense cipher of percentages, figures, and company tokens such as IBM Kellogg Ladders and Lowes with scattered values like 19% 26% and 1,002.8, suggesting a market or financial collage rather than a readable story.

Honwel HK Telsh HetMar IBM Lazboy LaddFre Lance Lawtine Lilly Lindergons Ee Sane Lyondi

Oakland area figures show mixed values and partial readings

The data snippet lists numerous numbers and codes such as Oakwd, OhieCas, OldCom, and Owenc with fractional marks and percentages. It appears as a scrambled OCR extract of a table or ledger from an Oakland area source, containing percentages, dollar-like figures, and abbreviations that are only partially readable.

Pace Ost and Stock Figures Across Markets

The table shows scattered prices and percent changes for numerous companies and sectors, including PacTel, PepsiCo, Pfizer, Phillips Petroleum, and PPG. Large blocks list bid and ask ranges, daily percentage shifts, and market totals, with extensive figures on 20th century stocks and related metrics.

Fragmented OCR data with multiple numbers and names

A dense OCR fragment lists numerous percentages codes, figures, and names such as Reebok RexStar RivaNtle Rubmd and Ryland, interspersed with years and measurements. The text lacks coherent narrative and readable events, offering a mosaic of data points rather than a single story.

Fragmented OCR list of brand figures and percentages

A dense OCR extract shows numerous brand names with varied percentage figures and numbers, including SamLby, SonyCph, Sears, Shopco, Sprint, and Synalog among many others, interspersed with percentages and code-like tokens. The readable items resemble a statistical or catalog-like page with mixed entries and inconsistent formatting.

SigdSce SeagTec Sears Selvac SvMer Shopco SouthCos SoNat Speizman SpiegelAs Springs Sprint Stroe St Pauls SteinMts Bile Oewn Stepans Stokely Sysco

Unidentified numeric sequence from historical OCR data

The excerpt presents a dense, unreadable jumble of numbers, symbols, and partial terms. No coherent names, places, dates, or events are discernible to form a factual news item or clear summary.

Value stocks list earnings and prices across markets

A dense OCR fragment shows numerous tickers and figures for listed companies such as VieSel, Varco, Western Union, and WorldCom, with percentages, prices, and ratios interspersed. The garbled data resembles a stock table or market roundup, including fractions, years, and multiple refinancing terms, but lacks coherent narrative.

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