forex data
Forex data
Use the canonical historical-data page when broad forex data searches need proof: sample file, coverage report, known-gap caveats, and package paths before checkout.
Open pageEUR/USD1.0852+0.12%
GBP/USD1.2634-0.08%
USD/JPY149.32+0.24%
USD/CHF0.8821-0.05%
AUD/USD0.6524+0.18%
USD/CAD1.3612+0.03%
XAU/USD2048.50+0.42%
EUR/GBP0.8592-0.11%
GBP/JPY188.65+0.15%
EUR/JPY162.04+0.36%
EUR/USD1.0852+0.12%
GBP/USD1.2634-0.08%
USD/JPY149.32+0.24%
USD/CHF0.8821-0.05%
AUD/USD0.6524+0.18%
USD/CAD1.3612+0.03%
XAU/USD2048.50+0.42%
EUR/GBP0.8592-0.11%
GBP/JPY188.65+0.15%
EUR/JPY162.04+0.36%
Verified release through May 2026
Audited forex
historical data
Forex historical data for backtesting: OHLCV files with coverage-reported Parquet delivery, release facts, and Python/DuckDB-ready samples before purchase.
74
Coverage folders
300.4M
Audited rows
7
Timeframes
Open Forex Historical DataMajor-8 KitEUR/USD StarterCheck My DataView Coverage StatusTry Free Sample
Sample-first validation7-day refundDelivery after fulfillment check
Data fromAudited source files
FormatApache Parquet
CoverageCoverage-reported release
Historical forex data paths
Find the right page before you buy data
Searchers often land on the homepage for broad forex data, FX historical data, forex history, and historical FX prices queries. This section routes each intent to the proof page that answers it: sample files, release coverage, backtesting data, provider comparison, or free-source tradeoffs. For the broad query family, the canonical destination is Forex Historical Data.
If you landed here for forex data, forex data services, fx data, fx historical data, forex historical data, forex trade history, fx historical trends, historical FX, forex history data, historical data forex, forex data history, forex history database, forex exchange history, forex historic data, forex rate historical data, forex historical data CSV, eur usd historical data excel, forex historical tick data, forex pricing data feed, fx history data, historical fx data, currency pair historical price levels, or historical fx prices, start with the canonical historical forex data page: it explains current release facts, formats, sample validation, and known-gap caveats before checkout. If your search was forex historical exchange rates, fx rates historical data, fx spot rates historical, fx spot rate history, or past fx rates, use the historical exchange rates page for rate-history wording, spot-rate context, and the same sample-first proof path.
Current proof layer
- 74 coverage-reported folders, 518 Parquet files, 300,359,356 full-release rows.
- Major-8: 8 pairs, 56 Parquet files, 79,042,363 rows.
- Major-8 QA: 0 structural blockers and 51 files with visible source-observed gap caveats.
forex data services
Forex data services
Use this route for packaged historical FX data, coverage reporting, Parquet delivery, and commercial audit or licensing paths without live-feed claims.
Open pagefx data
FX data
Use this route for broad FX data intent before narrowing into historical files, Python sample validation, release coverage, or a custom audit path.
Open pagefx historical data
FX historical data
Use the canonical historical-data page for broad FX history searches: sample file, coverage proof, current release facts, and caveats before any paid path.
Open pageforex historical data
Forex historical data
The canonical route for broad searchers: release facts, sample validation, coverage caveats, and package options before checkout.
Open pageforex historical rates
Forex historical rates
Use this route for historical forex rate bars with audited release facts, sample validation, coverage caveats, and package paths before checkout.
Open pagehistorical forex data
Historical forex data
Start here for the broad overview: current release facts, file format, coverage caveats, and buyer paths.
Open pagehistorical forex prices
Historical forex prices
Use this route for dated OHLCV price bars, release coverage, sample testing, and the smallest paid dataset that fits your research workflow.
Open pagehistorical fx prices
Historical FX prices
Use this route when the intent is historical FX price bars, not today’s exchange rate quote: row counts, Parquet format, sample validation, and release coverage.
Open pageforex history database
Forex history database
Use this route for the database-style overview: what files exist, what rows are audited, how coverage varies, and which bundle or audit path fits.
Open pageforex history
Forex history
Use this route for broad forex history research before narrowing into pair pages, sample files, or the Major-8 readiness kit.
Open pageforex trade history
Forex trade history
Use this route when the intent is historical forex trade research data, not broker account statements or executed-order history.
Open pagefx historical trends
FX historical trends
Use this route for trend research across historical FX bars with sample validation, pair pages, and release coverage.
Open pagehistorical fx
Historical FX
Use this route for the broad historical FX overview: Parquet-first files, coverage proof, sample validation, and buyer paths.
Open pageforex history data
Forex history data
Use this route for forex history data with current release facts, sample validation, known-gap visibility, and package paths.
Open pagehistorical data forex
Historical data for forex
Use this route when the job is historical data for forex research: inspect sample files, release coverage, pair pages, and buyer paths.
Open pageforex data history
Forex data history
Use this route for dated forex data history with audited Parquet delivery, coverage caveats, and proof-first package selection.
Open pageforex historical data csv
Forex historical data CSV
Use this route to validate the current Parquet-first release and CSV caveats before assuming a conversion workflow fits.
Open pageeur usd historical data excel
EUR/USD Excel workflow
Use this route to validate the EUR/USD sample and Parquet-first caveat before converting historical data into a spreadsheet workflow.
Open pageforex historical tick data
Forex historical tick data
Use this route to confirm whether audited OHLCV bars fit your research before requesting tick-level sourcing or audit help.
Open pageforex history rates
Forex history rates
Use this route for historical forex rate bars with release coverage, known-gap visibility, and sample-first validation.
Open pageforex exchange history
Forex exchange history
Use this route for historical foreign-exchange price bars, release facts, sample validation, and pair-level coverage caveats.
Open pageforex historic data
Forex historic data
Use this route when the search intent is older forex data for research and backtesting, not today’s exchange-rate quote.
Open pageforex rate historical data
Forex rate historical data
Use this route for historical rate bars with current row counts, coverage reporting, sample-first validation, and known-gap visibility.
Open pagefx history data
FX history data
Use this route for the broad FX history-data overview before choosing a sample, pair page, release coverage report, or Major-8 kit.
Open pageforex historical data download
Download workflow
Use this route when you want the fastest path from source-backed files to a local research dataset.
Open pageforex pricing data feed
Forex pricing data feed
Use this route when the job is recurring refreshed research data, manifests, or signed file delivery rather than a live trading feed.
Open pageforex backtesting data
Backtesting data
Use this route for M1 OHLCV strategy testing, sample validation, and release coverage before checkout.
Open pagecurrency trading historical data
Currency trading historical data
Use this route when the job is trading research: sample first, coverage second, then the smallest data package or audit path that fits the strategy.
Open pagecurrency pair historical price levels
Currency pair price levels
Use this route when you need dated currency-pair OHLCV price levels, not a single conversion-rate lookup.
Open pageforex historical exchange rates
Historical exchange rates
Use this route when the intent is historical FX rate bars for research, not a live quote widget or consumer conversion table.
Open pagehistorical fx rates
Historical FX rates
Use this route for historical FX rate bars with coverage facts, source-observed caveats, sample validation, and Parquet delivery.
Open pagefx rates historical data
FX rates historical data
Use this route for historical FX spot-rate files with coverage facts, source-observed caveats, sample validation, and Parquet delivery.
Open pagefx spot rates historical
Historical FX spot rates
Use this route for spot-rate history searches when you need research bars, dated price levels, sample validation, and coverage proof.
Open pagepast fx rates
Past FX rates
Use this route for past FX rate analysis before narrowing into a pair page, release coverage, or the Major-8 research bundle.
Open pagefree forex data vs paid
Free vs paid data
Use this route when the question is whether free sources are enough or the cleanup time is the real cost.
Open pagehistorical fx rates free
Free historical FX rates
Use this route when you want to compare free historical FX rate sources against packaged files, coverage proof, and saved cleanup time.
Open pageexchange rate timeseries free
Free exchange-rate timeseries
Use this route when free timeseries data may be enough, but you need to understand the work required to clean, audit, and package it.
Open pageTry before you buy
Get a free EUR/USD M1 Parquet sample: 31,680 rows from January 2024, with no nulls or duplicate timestamps.
No spam, ever. Just data.
Data Format Preview
Clean OHLCV data. Loads directly in pandas, R, DuckDB, and modern data tools.
example.py
import pandas as pd
df = pd.read_parquet('EURUSD_M1.parquet')
# Output:
# datetime open high low close volume
# 0 2000-01-03 00:00:00 1.0088 1.0088 1.0085 1.0085 42
# 1 2000-01-03 00:01:00 1.0085 1.0089 1.0085 1.0089 28
# 2 2000-01-03 00:02:00 1.0089 1.0093 1.0088 1.0091 35Typed
timestamp and numeric columnsColumnar
Parquet delivery0
duplicate timestamps in major M1 auditParquet delivery is live; CSV and MT4/MT5 conversion files are being rebuilt
Backtest ReadinessStop testing blind.
Stop testing blind.
Check the data first.
The expensive part is not only getting files. It is knowing what is source-backed, what is missing, and which date windows are safe enough to research without fooling yourself.
"I downloaded data but spent hours loading and normalizing it."
"My backtest looks amazing, but I do not know if the data window is broken."
"Free data exists, but I do not want to rebuild a QA pipeline first."
The readiness kit solves this
Start from audited Parquet files, coverage reporting, and known-gap visibility. Certified windows and helper assets are added only after the evidence supports them.
What the product must prove
00
Coverage
Show which pairs, years, and timeframes are source-backed
01
Continuity
Separate real missing intervals from expected market closures
02
Validity
Check schema, nulls, duplicates, and impossible OHLC rows
03
Loadability
Keep files easy to query from pandas, DuckDB, R, and local apps
04
Provenance
Track source and release facts so fixes can be reproduced
05
Safe windows
Publish certified ranges only after evidence supports them
06
Updates
Use source-backed deltas instead of fake gap-filling
Near gap-free path: certified source-backed windows first, broad claims never.
Choose your dataset
One-time purchase. Delivery by secure download link. Yours forever.
Current releases include coverage reports and known-gap visibility; no gap-free claim is made.
Secure Stripe Checkout
7-day refund guarantee
EUR/USD Starter Kit
Small paid validation step for one liquid pair
EUR/USD
More single-pair zips will be added after matching delivery files are uploaded.
Data points
Varies
Size
~50 MB
$15
One-time payment
- EUR/USD included
- Available release timeframes
- Coverage report included
- Parquet format
- Upgrade path to major pairs
Parquet delivery is live. CSV and MT4/MT5 conversion files are not sold until matching artifacts are uploaded.
Get the Kit - $157-day refundSecure delivery
Most Popular
Major-8 Readiness Kit
Core major-pair research bundle with proof
Data points
Audited
Size
Varies
$49
One-time payment
- 8 major symbols
- Coverage varies by pair
- Available timeframes per pair
- Audited Parquet files
- Coverage report included
Parquet delivery is live. CSV and MT4/MT5 conversion files are not sold until matching artifacts are uploaded.
Get the Kit - $497-day refundSecure delivery
Complete Dataset
74 coverage-reported pair and market folders
Data points
300.4M
Size
~5 GB
$129
One-time payment
- 74 delivered folders
- 518 Parquet files
- M1, M5, M15, H1, H4, D1, W1
- Release coverage report
- Known-gap visibility
Parquet delivery is live. CSV and MT4/MT5 conversion files are not sold until matching artifacts are uploaded.
Get the Kit - $1297-day refundSecure delivery
Need a team or commercial license?
Commercial licensing, recurring update interest, validation summaries, and custom data-quality support are available for teams.
Verified symbols included
Major Pairs
EUR/USDGBP/USDUSD/JPYUSD/CHFAUD/USDUSD/CADNZD/USD
Cross Pairs
EUR/GBPEUR/JPYGBP/JPYAUD/JPYEUR/AUDGBP/AUDEUR/CAD+14 more
Exotic Pairs
USD/SGDUSD/MXNUSD/TRYEUR/TRYUSD/ZAREUR/SEKUSD/NOK+17 more
Commodities & Indexes
XAU/USDXAG/USDWTI/USDSPX/USDDAX/EURFTSE/GBPNKY/JPY+7 more
Forex Data Lab
One market-history insight, one data-quality lesson, and one reproducible research prompt.
No spam. Unsubscribe anytime.
Frequently asked
What format is the data?
Apache Parquet. It preserves typed columns, compresses efficiently, and works directly in Python/pandas, R, DuckDB, and modern data workflows without expanding every release into flat CSV first.
What timeframes are included?
All standard timeframes: M1, M5, M15, H1, H4, Daily, and Weekly. Suitable for scalping systems through swing trading strategies.
How do I download after purchase?
You receive download links via email within 5 minutes of payment. Links are valid for 24 hours but can be regenerated anytime from your receipt.
What is the refund policy?
7-day refund for delivery issues. Due to the digital nature of the product, refunds are not available after successful download.
Can I use this for commercial purposes?
Yes — personal and commercial use is included. Build trading bots, run backtests, power research, or use in production systems.
Where does the data come from?
The release is built from source files we normalize, package, and audit. Every paid bundle includes pair-specific coverage reporting so known gaps are visible instead of hidden.
What are the Python templates?
The current paid checkout is for the deliverable data artifacts and coverage reporting. Notebook and helper packs are only promoted as included after the matching fulfillment artifact is verified in R2.