Nikkei 225 (JP225) Historical Data CSV Free Download

JP225 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 July 2019.

CSV Columns Explained

How to Use the JP225 Data

1. Download the ZIP and extract the nine CSV files.
2. For MT5: import into the Strategy Tester or rebuild the US500 symbol history; match the exact symbol name your broker uses (US500, SPX500, SP500, USA500).
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 session gaps are the three checks that catch most bad imports.
5. Include spread and the overnight financing behavior when you interpret results — index CFDs are not futures.

import pandas as pd

df = pd.read_csv("JP225m_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["session"] = pd.cut(df.index.hour, bins=[-1, 7, 13, 21, 24],
                       labels=["Asia", "London", "NewYork", "LateNY"])

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

Also Known As

JP225 is listed under several broker names: JPN225, NIKKEI225, JP225Cash, Nikkei Index CFD. The dataset works with any of them — rename the symbol to match your MT5 Market Watch exactly.

JP225 Historical Data — FAQ

Does the Nikkei data cover the August 2024 crash?

Yes. The M30-H1-D1 files include August 2024 in full — the -12% single-day crash and the violent rebound — one of the best stress tests available for any index EA.

Why is JP225 useful for a forex trader?

JP225 and USD/JPY are strongly linked through the carry trade. Testing a USD/JPY strategy against JP225 behavior helps you separate genuine edge from yen-driven beta.

Which timeframes are in the ZIP?

Nine files: M1, M5, M15, M30, H1, H4, D1, W1 and MN1 — same column format as every AlgoSpecial dataset: Timestamp, Open, High, Low, Close, TickVolume, Spread.

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