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XAG/JPY Historical Data Downloader

A desktop app that downloads Silver vs Japanese Yen (XAG/JPY) price history on your own machine, written straight to your disk as CSV or JSON. History runs from 2024-09-17 — around 2 years — at every timeframe from raw ticks to monthly candles. A complete XAG/JPY 1-minute series is roughly 679K rows, about 34 MB as CSV.

Preview a XAG/JPY download →

Windows, macOS, Linux · €5.60 one-time for the entry licence · get the app

What the app fetches for XAG/JPY

SymbolXAG/JPY
InstrumentSilver vs Japanese Yen
Asset classForex Metals
History available from2024-09-17
TimeframesTick → 1s → 1m → 5m → 15m → 30m → 1h → 4h → Daily → Monthly
Price typesBid & Ask (with volume)
File formatsCSV, JSON (MetaTrader, NinjaTrader, Parquet & SQLite/DuckDB from the Pro licence)
Coverage2024-09-17 → 2026-08-01 (last completed trading day)
RetrievalLocal — your machine connects directly to Dukascopy Bank SA
Runs onWindows, macOS, Linux

XAG/JPY timeframes the app supports

XAG/JPY coverage & file size, timeframe by timeframe

Every XAG/JPY timeframe shares the same 2024-09-17 start date, but not the same scale — coarser candles stay small while tick and intraday files grow fast. Current through 2026-08-01:

TimeframeHistory fromApprox. rowsApprox. CSV
Tick (every quote)2024-09-17very large
1 second2024-09-17very large
1 minute2024-09-17~679K~34 MB
5 minutes2024-09-17~136K~7 MB
15 minutes2024-09-17~45,300~2 MB
30 minutes2024-09-17~22,600~1 MB
1 hour2024-09-17~11,300~566 KB
4 hours2024-09-17~2,800~142 KB
Daily2024-09-17~470~24 KB
Monthly2024-09-17~20~1 KB

Counts are approximate, derived from forex session hours across the available history. Tick and 1-second runs are queued and resumable rather than fetched in one pass. See the data methodology for how candles are built.

Working with the XAG/JPY series

The youngest silver cross in the catalogue — listed September 2024 — so there is almost no history here to test against, and any statistic computed from it is provisional by construction. For longer studies, build the series synthetically from XAG/USD and USD/JPY. What the pairing is conceptually good for: metal exposure measured in the world's great funding currency.

What's inside the XAG/JPY file

timestamp,open,high,low,close,volume

One row per candle; tick files instead carry timestamp,bid,ask on every quote. All timestamps are UTC. Worked examples and import steps are in the CSV & JSON format guide.

About Silver vs Japanese Yen

Silver vs Japanese Yen (XAG/JPY) is a spot precious-metals instrument with 2 years of retrievable history. It is commonly used for backtesting forex trading strategies and expert advisors (EAs), spread and volatility analysis, training algorithmic and machine-learning models, and charting currency-pair history. Pick any date range from 2024-09-17 onward, choose a timeframe and the bid or ask side, and the app fetches and writes the files locally — no scripting.

Frequently asked questions

How far back does XAG/JPY data go?
XAG/JPY history runs from 2024-09-17 — roughly 2 years — up to the last completed trading day, at every timeframe from raw ticks to monthly candles. Every licence tier reaches all of it.
How large is a full XAG/JPY download?
The complete XAG/JPY 1-minute history is roughly 679K rows, about 34 MB as CSV. Daily candles over the same instrument are far smaller — around 470 rows, 24 KB. Tick and 1-second runs are larger again and are queued and resumable rather than fetched in one pass. Sizes are approximate; nothing is priced by volume.
What columns are in the XAG/JPY CSV file?
OHLC files contain a timestamp plus open, high, low and close columns (with volume); tick files contain a timestamp with bid and ask prices. All timestamps are UTC. The files import directly into Excel, Google Sheets, Python (pandas read_csv), R, MetaTrader, NinjaTrader and TradingView.
Do you sell XAG/JPY data?
No — we sell software. The MarketData Hub client retrieves Silver vs Japanese Yen (XAG/JPY) on your own machine, under your instruction, directly from the source; we never host, cache or relay it. Your use of the retrieved data is subject to the source's terms.

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