BTCJPY (Bitcoin / Japanese Yen) Historical Data CSV Free Download

BTCJPY Historical Data — Timeframe Breakdown

M1, M5 and M15 contain the most recent 100,000 candles (the MetaTrader 5 terminal window). M30 and above carry the full broker history since .

CSV Columns Explained

How to Use the BTCJPY Data

1. Download the ZIP and extract the nine CSV files.
2. For MT5: import the CSVs into a custom symbol (Market Watch → Symbols → Create Custom Symbol → Import Bars) — this works for live and delisted symbols alike — or use them for offline analysis.
3. For Python: load with pandas, parse the Timestamp column, sort ascending and build features (returns, range, session flags).
4. Run a data-quality pass first: duplicate timestamps, OHLC violations and unexpected gaps are the three checks that catch most bad imports.
5. Remember crypto trades weekends — treat weekend candles as real liquidity, not as noise, when calibrating stops.

import pandas as pd

df = pd.read_csv("BTCJPYm_PERIOD_M30_OHLC.csv")
df["Timestamp"] = pd.to_datetime(df["Timestamp"])
df = df.sort_values("Timestamp").set_index("Timestamp")

df["range"] = df["High"] - df["Low"]
df["body"]  = (df["Close"] - df["Open"]).abs()
df["ret"]   = df["Close"].pct_change()

print(df.tail())
print(df[["range", "body", "TickVolume", "Spread"]].describe())

Also Known As

BTCJPY is listed under several names depending on the broker: BTCJPY, BTC/JPY, Bitcoin in yen. The dataset works with any of them — rename the files or the custom symbol to match your MT5 Market Watch exactly.

BTCJPY Historical Data — FAQ

How far back does the BTCJPY data go?

BTCJPY data spans Dec 2019 – Oct 2026 overall. M30, H1, H4, D1, W1 and MN1 hold the full broker history; M1, M5 and M15 contain the most recent 100,000 candles each (the MT5 terminal window). All files end with the latest bar at export time — 19 October 2026.

Which MT5 symbol name does this dataset use?

The files are exported from the BTCJPYm symbol (broker “m” suffix). Rename them to match your own broker’s symbol — BTCJPY, BTC/JPY, Bitcoin in yen. The CSV structure (Timestamp, Open, High, Low, Close, TickVolume, Spread) is identical across brokers.

What is this cross useful for?

Cross pairs like BTCJPY show bitcoin’s performance in another unit of account. They are used for relative-strength studies (is BTC outperforming the currency or metal?), correlation work against the underlying FX pair, and diversifying a strategy book away from pure USD crypto beta. The CSV format matches every other AlgoSpecial dataset.

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