MGPraxis6,400 papers identified by name
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Data dictionary

Praxis · MarketGraphs · trust · document 10

The fields a subscriber receives, by depth, and what each one means. A sample of fewer than 100 open rows, each more than three months old, is sent on request to alex@market-graphs.com.

Index. Every paper, both plans

FieldMeaning
paper_idOur stable number for the paper.
title, authors, published_date, yearAs published.
doi, arxiv_idThe paper's identifiers, where it has them.
linkThe original, at its publisher or repository.
source_familyThe index or repository the paper was identified from.
family, secondary_familiesThe strategy family the paper belongs to, one of 22, and any others it touches.
asset, asset_classThe asset the paper studies and its class, one of nine.
instrument_types, geography, strategy_clusters, technique_families, predictor_typesLists of tags describing what the paper trades, where, and how.
in_universe_sinceThe day the paper entered the library.
max_levelThe paper's depth: summary, method or audit.
has_extraction, auditedWhether a method record exists, whether an audit exists.

Summary. Every paper, both plans

FieldMeaning
claim_numbersThe numbers the abstract states: Sharpe ratio, return, t-statistic, period.
methods, datasets, instrumentsWhat the abstract names as the method, the data and the instruments.
jel_codes, keywords, topic_tagsClassification codes and keywords, from the paper and from us.
sample_window, sample_windows, frequency_finestThe test period and the finest data frequency the abstract states.
replicability, robustnessWhat the abstract says about reproducing and stress-testing the result.
costs_mentioned, out_of_sample, multiple_testing, benchmark_namedWhether the abstract states each of these disclosures. True, false or unknown.
long_short, universe_size, vendorsWhether the strategy is long-short, the size of the universe, data vendors named.
claim_wordsThe words the abstract uses to characterise its result.
abstract_sentenceOne quoted sentence of the abstract, attributed.
neighbour_countHow many papers sit nearest to this one in the library.

Neighbours. Every paper, both plans

FieldMeaning
rank, neighbour_id, neighbour_titleThe nearest papers, in order.
reasonWhy the paper is a neighbour, in words.

Method. Papers read in full, paid plan

FieldMeaning
methodologyHow the strategy works: signal, universe, rebalancing, holding period, sizing, costs, parameters.
data_sourcing, data_cleaningThe data the paper used and how it prepared it.
sample_universeThe securities, markets and period the paper tested on.
resultsThe results the paper reports, as the paper states them.
validation_disclosuresWhat the paper discloses about its tests: out of sample, costs, multiple testing, trials.
limitations, regime_claims, caveatsWhat the paper says limits the result, and what it claims about regimes.
replication_confidenceWhat is stated and what is missing for someone to reproduce the result.
fieldsTrading-desk measures: volatility, skewness, kurtosis, turnover, headline net of costs, microcap filter, execution lag, short side, capacity, data requirements.
Every value aboveCarries a quote of at most 200 characters and the section it comes from, is marked sure or unsure with a confidence, and anything missing is listed.
missing, unsureThe fields the paper does not state, and the values we are not sure of.
verificationWhich checks the record passed.
extraction_confidenceOur confidence in the record as a whole.
model_assisted, model_id, prompt_versionWhether a model helped, which one, and which version of our instructions.
extraction_schema, extracted_atThe record's format version and when it was built.
computedNumbers derived from the record itself, without a quote: complexity, sample years, publication gap, minimum back-test length.

Audit. Papers we re-implemented

FieldMeaning
run_id, verdict, verdict_summaryWhich run, the verdict in one word, and in one paragraph.
claimed_sharpe, measured_sharpeWhat the paper claimed and what we measured on clean data.
deviations, flags, focal_configWhere our run differs from the paper, what to watch, and the configuration under audit.

Provenance. Every paper, both plans

FieldMeaning
source, source_family, file_ruleWhere the paper was identified and the rule that applies to files from that source.
licence, licence_url, licence_max_levelThe licence on the paper, where it is stated, and the depth it allows.
licence_evidence_url, licence_checked_onWhere we saw the licence and when.
obtained_via, fetched_from, fetched_atHow we obtained the file, from where, and when.
file_discardedWhether the file was deleted after reading.
provenance_not_recordedAlways false on a served method record.
model_id, prompt_version, extraction_schema, extracted_atAs in the method record.
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