Explain one market movement
Immutable historical chart snapshots, verified candles, price/time anchored annotations and retrospective context for a specific move.
Disciply Market Research
Research worth citing.
Longitudinal market studies built around explicit questions, reproducible calculations, transparent samples and data that can be traced back to its source. No invented statistics. No “probability” language without a defined historical sample.
Primary marketXAUUSD
Price fieldsOHLC + volume*
Research statusInfrastructure live
*Volume is used only when the active provider supplies a field whose meaning is documented for that dataset. It is never silently treated as centralized exchange volume.
Editorial standard
One question. One reproducible sample.
Market Breakdown explains a specific move. Market Research measures a repeated historical behavior. The two surfaces are connected but intentionally do different jobs.
Measure a pattern across many observations
Defined population, sample size, date range, transformation rules, statistical summaries, limitations, downloadable derived data and a citation-ready record.
Data diagnosis
What Disciply can verify today
The Research layer reuses existing infrastructure first. It does not add a paid data provider merely to manufacture launch content.
Historical market bars
Existing Disciply market history supports XAUUSD and other catalog symbols across canonical periods, with UTC timestamps and OHLC fields. Research calculations must preserve provider identity and retrieval metadata.
Market Breakdown snapshots
Published Breakdown snapshots already preserve immutable candle windows plus source metadata. They can link to future longitudinal studies without rewriting their historical chart data.
Historical macro event archive
The identified calendar pipeline covers current/next-week events. That is not enough to reconstruct dozens of historical CPI, NFP, PCE or FOMC releases with publication timestamps and revisions.
Consequence: price-only studies such as hourly volatility, session ranges and day-of-week distributions are structurally feasible from the existing history stack. Macro-event studies remain blocked until the historical event timestamps and event labels are stored or sourced under terms compatible with Disciply's use and redistribution policy.
Published research
Validated studies
Only studies that pass sample, methodology, source, findings and limitation checks receive a public indexable URL.
No validated longitudinal study is published yet. Planned and blocked studies remain in the roadmap until the public evidence gate passes.
Connected intelligence
Research is part of the same content graph
Published studies automatically connect to assets, events, guides, blog articles and Market Breakdown reports.
First research cluster
Roadmap: 10 studies
Order reflects data readiness, not SEO volume. A study moves to “published” only after coverage, exclusions and reproducibility checks pass.
01NEXT / FEASIBLE
XAUUSD hourly volatility — which hours move the most?
Price-only. Requires normalized 1H history, timezone definition, missing-bar audit and distribution statistics.
02NEXT / FEASIBLE
XAUUSD intraday range — distribution by day of week
Price-only. Daily grouping from verified intraday history; publish median, percentiles and sample counts.
03NEXT / FEASIBLE
London vs New York — session expansion comparison
Price-only after session-boundary rules and DST handling are frozen in methodology.
04READY AFTER METHOD LOCK
XAUUSD Asian Range — how often London breaks the Asian high or low?
Requires deterministic session windows, sweep/break definitions and exclusion rules for missing sessions.
05READY AFTER METHOD LOCK
Previous Day High/Low — test and break frequency
Requires a published definition of “tested”, “broken” and same-day edge cases.
06READY AFTER METHOD LOCK
New York Open — first 60 minute XAUUSD movement
Price-only once DST-aware New York open is normalized consistently across the sample.
07BLOCKED: EVENT ARCHIVE
XAUUSD after CPI — 5 / 15 / 30 / 60 minute reaction
Needs a verified historical CPI release archive with exact event timestamps before any sample is reported.
08BLOCKED: EVENT ARCHIVE
XAUUSD during NFP — historical volatility
Needs a verified historical NFP event archive and consistent holiday/release exception handling.
09BLOCKED: EVENT ARCHIVE
FOMC and Gold — before/after decision volatility
Needs verified statement/decision timestamps and explicit separation from press-conference windows.
10BLOCKED: EVENT ARCHIVE
CPI vs NFP vs FOMC — historical Gold movement comparison
Only valid after the three event datasets are independently complete enough to compare on the same rules.
Research methodology
How a study becomes publishable
These rules are the public contract behind future Disciply Research pages. If a dataset does not satisfy them, the page stays draft/unpublished.
1. Define the question first
Every study starts with one measurable question, one symbol definition, one period and one event/session definition. The metric is fixed before results are calculated.
2. Preserve source identity
Store source/provider, provider symbol, timeframe, capture/retrieval time, timezone and coverage boundaries. Mixed-source samples must be explicitly disclosed or rejected.
3. Use UTC internally
Raw timestamps are normalized to UTC. Session studies then apply a named IANA timezone and daylight-saving rules. Display timezone never changes the underlying observation.
4. Audit missing data
Missing or duplicate bars are counted. Observations requiring unavailable windows are excluded and the exclusion count is published instead of silently backfilling a result.
5. Freeze metric definitions
“Break”, “sweep”, “retest”, “continuation” and “reversal” must have numeric rules. Editorial labels cannot substitute for a calculation rule.
6. Separate history from forecast
Frequencies and probabilities are always described as historical statistics of the analysed sample. They are not presented as the probability of a future trade outcome.
7. Prefer robust statistics
Publish sample size, mean, median, percentiles and a distribution view where useful. Averages are not used alone when outliers can dominate the result.
8. Document exclusions
Holiday sessions, missing data, duplicate events, ambiguous timestamps, provider outages and abnormal records must be handled by an explicit rule and reported.
9. Check redistribution rights
Raw provider data is downloadable only when redistribution is permitted. Otherwise Disciply publishes derived/aggregated datasets when the applicable terms allow it.
10. Version and correct
Every published study includes a last-updated date. Material corrections explain what changed, why it changed and whether headline findings were affected.
Dataset contract
Downloadable when legally permitted
No sample rows are fabricated here. Until a real study is validated, only the public derived-data schema is downloadable.
event_date,event_type,symbol,timezone,source,provider_symbol,sample_id,pre_event_price,move_5m,move_15m,move_30m,move_60m,session,high,low,range,direction,excluded,exclusion_reason
A real study download must additionally carry study slug, methodology version, period, generated-at timestamp and licensing/redistribution notes.
Citation system
Cite the original research
Each future study receives a stable canonical URL and a citation block generated from the actual study metadata.
CITE THIS RESEARCH
Disciply Research, “[Study title]”, Disciply Market Research, [year].
URL:
[canonical study URL]
DATA SOURCE:
Disciply Market Research
LAST UPDATED:
[ISO date]
SAMPLE:
[validated sample size]
PERIOD:
[start date – end date]
USE THIS DATA
Journalists, bloggers, newsletters, creators and analysts may reuse published charts, statistics, tables, screenshots and study findings free of charge when the material is clearly attributed to Disciply Market Research with a link to the original research page.
Provider-owned raw data is excluded unless redistribution is explicitly permitted. Derived datasets are offered only where the underlying terms allow it.
Corrections should cite the current version of the study, not a cached screenshot if the underlying methodology or dataset changed.
Study template
Every publication carries the same evidence fields
Identity
Title, canonical URL, Published by Disciply Research, publication date, last updated date and methodology version.
Dataset
Origin, symbol, timeframe, timezone, start/end period, sample count, missing-data count and exclusions.
Results
Executive summary, key findings, main chart, statistical tables, distribution view and observations.
Reproducibility
Metric definitions, calculation order, derived-data export and a clear statement when raw data cannot be redistributed.
Limitations
Provider limitations, spread/price-feed caveats, sample limitations, timezone handling and reasons the result should not be read as a forecast.
Media utility
Exportable chart asset, citation block, reuse policy and concise press summary generated only from the study's validated findings.
Connected intelligence
Research belongs inside the Disciply graph
Research pages should link to the market context and trader-process surfaces that help a reader understand the finding without turning the study into a sales page.
Market BreakdownEvent-level historical analysis.
XAUUSD HubGold-focused market and educational content.
Markets & AnalysisBroader market context.
Risk ManagementProcess before profit.
Trading JournalTurn observations into reviewable decisions.
Discipline ScoreMeasure trader behavior separately from market outcome.