forex data
Use this page when the search is broad and you need historical forex data you can inspect before trusting it: sample file first, release coverage second, then a paid bundle only if the proof fits.
Download sampleForex Historical Data DownloadForex historical data
Forex historical data
for serious backtests
Download forex historical data as audited OHLCV files for forex research, Python analysis, and backtesting. Built for traders and developers who want sample-first validation, coverage reports, typed Parquet files, and visible known-gap caveats before trusting a strategy result.
This is the canonical HistoricalFX page for broad searches like historical forex data, fx historical data, forex data, forex data services, forex history database, historical FX prices, forex exchange history, forex historic data, fx history data, foreign exchange historical data, eur usd historical data excel, currency pair historical price levels, and currency trading historical data. Pair-specific pages and product pages branch from this overview after you confirm the release facts.
What you get
CoverageCoverage varies
Markets74 coverage folders
TimeframesM1 to weekly
Primary formatParquet
DeliverySecure download link
Historical forex data proof, not a blind file dump
The broad search term is simple. The buying decision is not. Useful historical forex data needs source-observed prices, file formats that load quickly, coverage proof, and enough caveat visibility that a bad backtest cannot hide behind clean marketing copy. The safest path is sample first, release coverage second, then the Major-8 kit only if the proof fits your workflow.
Current proof facts
- 74 coverage-reported pair and market folders in the current full R2 release.
- 518 Parquet files and 300,359,356 rows across the full release.
- Non-major market folders have their own proof pages too, including UDX/USD historical data with pair-specific row counts and date coverage.
- Major-8 QA: 0 structural review blockers, with 51 files carrying visible source-observed gap caveats.
- Coverage window: 2000-05-30T00:00:00 to 2026-05-31T00:00:00; coverage varies by symbol.
forex data services
Use this route for packaged historical FX data services: audited Parquet delivery, coverage reporting, known-gap caveats, and an audit path for custom data-quality work.
Review commercial pathfx historical data
Use this page for broad FX history searches when you need files and coverage proof, not just a spot exchange-rate quote. Start with the sample, then inspect release coverage.
Download sampleforex historical data
Use this page when Google sends you to HistoricalFX for broad forex-history searches. It explains file format, coverage proof, known-gap caveats, sample validation, and paid package paths.
View release coverageforex historical rates
Use this page when you need historical forex rate bars for backtesting or research instead of a live quote, converter, or bank reference table. Start with release coverage and the free sample.
View release coveragehistorical forex data
Use this page when you need historical OHLCV files for local research instead of screenshots, broker history-center limits, or repeated API pulls.
Open download workflowhistorical forex prices
The release is packaged around dated price bars, typed columns, coverage reports, and visible limitations before checkout.
Review coverage factshistorical fx prices
Historical FX prices here means dated OHLCV research bars. Use the free sample to validate schema and loader behavior before relying on a full release.
Validate the sampleforex history database
Start with the sample and coverage reports, then move to a single pair, Major-8 bundle, complete bundle, or audit request depending on the workflow.
Inspect release factsforex history
Use this page as the broad forex history hub, then narrow into pair pages, the Major-8 kit, provider comparisons, or a data-quality audit.
Browse pair pagesforex trade history
Use this page when you need historical forex trade research bars for analysis, not broker account statements or executed-order history. Start with the sample and coverage report.
Validate samplefx historical trends
FX historical trends require consistent dated bars, coverage context, and pair-level caveats before any trend or regime conclusion is useful.
Browse pair pageshistorical fx
Historical FX here means source-observed OHLCV research data with Parquet delivery, sample validation, release coverage, and known-gap visibility.
Inspect coverageforex history data
Use this page when you need forex history data for research rather than a live quote screen. It gives you sample validation, release coverage, pair pages, and paid bundle paths.
View release coveragehistorical data forex
For historical data forex searches, start with the current coverage report and free sample so you can verify columns, timestamps, and scope before checkout.
Validate sampleforex data history
Forex data history here means dated OHLCV files with release facts and caveats, not a live broker feed. Inspect coverage first, then choose the smallest useful bundle.
Inspect coverageforex historical data csv
The current paid release is Parquet-first. Use the sample to validate your loader, then handle CSV conversion locally or wait for separately audited CSV delivery artifacts.
Validate sampleeur usd historical data excel
If the end workflow is Excel, start with the EUR/USD sample and coverage report first. The live paid release is Parquet-first, so spreadsheet use currently means validating the sample and converting locally instead of buying an unsupported Excel artifact.
Validate EUR/USD sampleforex historical tick data
The current public release is audited OHLCV bars, not tick-level delivery. If bars fit your research, inspect coverage; if you need tick data, use the audit path to scope sourcing and QA.
Scope data auditforex history rates
Use this page for forex history rates when the job is backtesting or research. Start with release coverage and a free sample before moving into a paid bundle.
View release coverageforex exchange history
Use this page when you need historical foreign-exchange price bars with release coverage and source-observed caveats, not a single current conversion rate.
View release coverageforex historic data
Historic forex data searches usually need date-stamped OHLCV files, loader validation, and coverage proof. Start with the sample before choosing a paid bundle.
Download sampleforex rate historical data
Use this route for historical forex rate bars packaged for research workflows with Parquet delivery, release facts, and visible known-gap caveats.
Review coverage factsfx history data
Use this route for the broad FX history-data overview, then narrow into pair pages, sample validation, release coverage, or the Major-8 kit.
Browse pair pagesforeign exchange historical data
Foreign exchange historical data here means audited OHLCV research bars with current release facts, not a live pricing feed or bank reference table.
Validate samplecurrency trading historical data
The practical buyer path is sample, release coverage, data-quality methodology, and then the smallest paid bundle that fits the strategy test.
See Major-8 kitcurrency pair historical price levels
Use this route when you need dated OHLCV price levels by currency pair for analysis, not just a one-off exchange-rate conversion. Start with the sample and release coverage before choosing a bundle.
Download sampleBuilt for research workflows
Historical forex data is useful only when it survives the workflow you actually use. These files are packaged for repeatable local analysis, not one-off screenshots.
Backtest algorithmic trading strategies without API rate limits.
Load Parquet files directly in pandas, DuckDB, R, or other data tools.
Convert audited source bars into CSV or platform-specific workflows when your own process requires it.
Run volatility, correlation, regime, and machine-learning research.
Build repeatable research pipelines on local files you control.
Audit historical price behavior without relying on broker history center limits.
Choose a dataset
Start small, or buy the full historical package.
EUR/USD Single Pair
$15
EUR/USD across all available timeframes. Best for validating your workflow before buying a larger package.
Get EUR/USD Single PairMajor Pairs
$49
8 symbols, 56 Parquet files, and 79,042,363 rows with QA caveats visible before purchase.
Get Major PairsComplete Dataset
$129
74 coverage-reported pair and market folders, 518 Parquet files, and a release coverage report.
Get Complete DatasetWhy the cleaning layer matters
A backtest is only as good as its input data. Missing bars, duplicate timestamps, impossible OHLC values, session artifacts, and format conversion mistakes can all turn a strategy result into fiction. Use the clean forex data workflow when the immediate job is a forex audit or validation path rather than a broad historical-data overview.
HistoricalFX is being built around validation-first data packaging: normalize the raw archives, reconcile timeframes, verify exports, document limitations, and make the data easier to trust.
Read the data-quality methodology →Questions before buying
What historical forex data is included?
The current R2 release report covers 74 pair and market folders with all 7 timeframes per folder. Coverage varies by symbol; every release is audited before packaging.
What format do I get?
The live paid delivery format is Apache Parquet because it loads quickly and preserves typed columns. CSV and MetaTrader conversion files are being rebuilt and are not sold until matching delivery artifacts are uploaded.
Can I use EUR/USD historical data in Excel?
Yes, but the current live paid release is not sold as an Excel workbook. Use the free EUR/USD sample and release coverage first, then convert locally from the audited Parquet files if your workflow requires spreadsheet inspection.
Is this for live trading?
No. This is historical research and backtesting data. It is designed for analysis, strategy testing, education, and development workflows.
Why pay when free sources exist?
Free sources can be useful, but they usually require downloading, cleaning, converting, validating, and packaging before they are usable. The product removes that data-prep work.