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Record W6920775161 · doi:10.6068/dp162b2560b7994

TREND: Xignite. Worldwide Stock Market Prices by Region: Stock Daily Close | Economic Regions/Exchanges: NASDAQ Stock Exchange | Exchange: NASDAQ Stock Exchange, 08/03/1999 - 04/09/2018. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-004-002

2018· other· en· W6920775161 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsStock exchangeStock (firearms)Market makerStock marketCashStock market bubble

Abstract

fetched live from OpenAlex

Xignite. Worldwide Stock Market Prices by Region: Stock Daily Close | Economic Regions/Exchanges: NASDAQ Stock Exchange | Exchange: NASDAQ Stock Exchange, 08/03/1999 - 04/09/2018. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-004-002 Dataset: Reports closing stock price for companies listed on global exchanges. Close refers to the price of the last transaction for a given stock at the end of the reference day. This dataset provides historical prices for equities trading on more than 50 global exchanges. Daily open, close, high, low, and volume statistics are reported. Exchanges covered: US: BATS, CBOE, Chicago Mercantile Exchange (including GLOBEX), MDX, NASDAQ, NYSE, NYSE ARCA, NYSE MKT EQUITIES, OPRA, OTC BB, OTC PINK MARKETPLACE, OTHER OTC/NBB; Eastern Europe: Budapest, NASDAQ OMX BALTIC (RIGA, Tallinn, and Vilnius), Prague, Spot Regulated Market-BVB, STANDARD-CLASSICA-FORTS, Warsaw; Western Europe: Athens, Exchange S.A. cash market, BME (Barcelona, Madrid, Valencia), Borsa Italiana – Milan, Irish, London, Espanol, NYSE EURONEXT (Amsterdam, Brussels, Lisbon, Paris), Swiss, Vienna; Germany: Berlin, Dusseldorf, Munchen, Stuttgart, Bratislava, Deutsche Boerse Ag – Frankfurt, Hamburg, Hannover, XETRA; Europe not elsewhere classified (NEC): CHI-X Europe, NYSE EURONEXT Cash Markets and Indices, NYSE EURONEXT LIFFE, SWX Europe; Nordic: NASDAQ OMX NORDIC (Copenhagen, Helskinki, Iceland, Stockholm); Asia-Pacific: Bombay, Hong Kong, KOSDAQ, Korea, India, Shanghai, Shenzhen, Singapore, Taiwan, Tokyo; Africa: Johannesburg; Canada: CNSE, Montreal, Toronto, TSX, TSX Venture; South America: BOVESPA, Lima, Santiago; Middle East: Muscat, Tel Aviv; Australia/New Zealand: ASX, NZE. The historical depth of the time series available varies by equity. http://www.xignite.com/product/XigniteGlobalHistorical/api/ Category: Banking, Finance, and Insurance Subject: Stock Indexes, Stock Markets, Stocks, Publicly Traded Companies, Stock Prices Source: Xignite Xignite provides on-demand financial market data covering global equities, commodities, currencies, options, fixed income, mutual funds, derivatives, and OTC (“over-the-counter” or those traded in a context other than a formal exchange) instruments. http://www.xignite.com/

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0070.007
Meta-epidemiology (broad)0.0070.000
Bibliometrics0.0030.001
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0210.014
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.1210.091

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.286
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
Has abstractyes

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