ASX 200 (AUS200) Historical Data CSV Free Download
AUS200 opens the global trading day, so it often leads the tone other indices follow. It is also the index with the biggest gap risk relative to its session hours, which makes it a favorite for gap-fade and overnight-breakout research. The full 2019-2026 daily and M30/H1 history is included.
OHLC candles across 9 timeframes.
Nine separate CSV files in one ZIP.
Includes the 2020 crash and 2022 bear market.
Timestamp, Open, High, Low, Close, TickVolume, Spread.
ZIP size, plain uncompressed CSV inside.
MT5 export symbol — rename to match your broker.
AUS200 Historical Data — Timeframe Breakdown
| File | Rows | From | To |
|---|---|---|---|
| AUS200m_PERIOD_M1_OHLC.csv | 100,000 | 2026-06-25 | 2026-10-09 |
| AUS200m_PERIOD_M5_OHLC.csv | 100,000 | 2025-04-11 | 2026-10-09 |
| AUS200m_PERIOD_M15_OHLC.csv | 100,000 | 2022-03-22 | 2026-10-09 |
| AUS200m_PERIOD_M30_OHLC.csv | 79,081 | 2019-07-16 | 2026-10-09 |
| AUS200m_PERIOD_H1_OHLC.csv | 40,811 | 2019-07-16 | 2026-10-09 |
| AUS200m_PERIOD_H4_OHLC.csv | 11,114 | 2019-07-16 | 2026-10-09 |
| AUS200m_PERIOD_D1_OHLC.csv | 2,212 | 2019-07-16 | 2026-10-09 |
| AUS200m_PERIOD_W1_OHLC.csv | 377 | 2019-07-14 | 2026-10-04 |
| AUS200m_PERIOD_MN1_OHLC.csv | 87 | 2019-07-01 | 2026-10-01 |
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
| Column | Meaning | Backtesting Note |
|---|---|---|
| Timestamp | Broker candle open time (server time). | Verify the server offset before aligning with another data source. |
| Open, High, Low, Close | US500 candle prices. | Validate High ≥ max(Open, Close) and Low ≤ min(Open, Close). |
| TickVolume | Broker tick activity inside the candle. | Not centralized volume — use it as an activity proxy. |
| Spread | Recorded broker spread. | Keep it: index CFDs widen at the cash open and rollover. |
How to Use the AUS200 Data
- Download the ZIP and extract the nine CSV files.
- 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).
- For Python: load with pandas, parse the Timestamp column, sort ascending and build features (returns, range, session flags).
- Run a data-quality pass first: duplicate timestamps, OHLC violations and session gaps are the three checks that catch most bad imports.
- Include spread and the overnight financing behavior when you interpret results — index CFDs are not futures.
import pandas as pd
df = pd.read_csv("AUS200m_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
AUS200 is listed under several broker names: ASX200, AUS200Cash, S&P/ASX 200 Index CFD. The dataset works with any of them — rename the symbol to match your MT5 Market Watch exactly.
AUS200 Historical Data — FAQ
Is AUS200 the price index or the accumulation index?
AUS200 tracks the S&P/ASX 200 price index (not the accumulation index that reinvests dividends). Broker CFDs track the price index, so this data matches what you actually trade in MT5.
Why does AUS200 have so many gaps in the data?
The Australian session closes while US markets trade. Overnight US moves create opening gaps in AUS200. The gaps are real market behavior — keep them in your backtest instead of smoothing them out.
What date range is included?
M30, H1, H4, D1, W1 and MN1 cover July 2019 to October 2026. M1, M5 and M15 contain the most recent 100,000 candles each, matching the MT5 terminal limit.
Related Index Datasets
Need an EA Tested on This Data?
We build MT5 Expert Advisors for index CFDs and validate them on clean datasets like this one — with realistic spread, session and gap assumptions.
Choose the next useful step
Most visitors arrive with one question: build, test, price, or trust. These shortcuts keep the path practical.
Go deeper before you build, download or automate
Hand-picked engineering articles, indicator breakdowns and trading-system tools so visitors keep exploring instead of leaving after one page.
Pine Script to MT4/MT5 Conversion Planner
Analyze Pine strategies, repainting risk, TradingView alert bridges, MTF synchronization and the correct MQL4/MQL5 build path before paying for conversion.
Open planner
3-in-1 MT5 Indicator Bundle
12H Bias Engine, Smart Money Institutional Flow Dashboard and D1/H1 pending-signal logic with MQ5 + EX5 source included via Etsy.
MT5 Bank Orders Institutional Flow Dashboard
Supply/demand zones, BOS/CHoCH, liquidity levels, FVG, equal highs/lows and confirmed trade-plan logic explained with EX5 download.
MT5 Asia London NY Liquidity Engine
Asia range, London raid and New York continuation/reversal planning with internal session backtest stats and entry/SL/TP dashboard.
Interactive Brokers RSI Pair Trader
Tkinter desktop trading workflow, TWS API connection handling, RSI pair logic, risk controls and custom IBKR development positioning.
XAUUSD M30 CSV Data For Backtesting
Use clean MT5 historical data for Python backtests, strategy validation, spread checks and realistic gold EA research workflows.