FTSE 100 (UK100) Historical Data CSV Free Download
UK100 concentrates its volatility in the London open, which makes session-filtered EAs behave very differently than on US indices. This dataset includes the Brexit-period volatility of 2019-2020, the 2022 gilt shock and the recovery into 2026 — with intraday detail down to M30/H1 for session studies.
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.
UK100 Historical Data — Timeframe Breakdown
| File | Rows | From | To |
|---|---|---|---|
| UK100m_PERIOD_M1_OHLC.csv | 100,000 | 2026-06-29 | 2026-10-09 |
| UK100m_PERIOD_M5_OHLC.csv | 100,000 | 2025-04-25 | 2026-10-09 |
| UK100m_PERIOD_M15_OHLC.csv | 100,000 | 2022-05-04 | 2026-10-09 |
| UK100m_PERIOD_M30_OHLC.csv | 80,127 | 2019-07-16 | 2026-10-09 |
| UK100m_PERIOD_H1_OHLC.csv | 40,449 | 2019-07-16 | 2026-10-09 |
| UK100m_PERIOD_H4_OHLC.csv | 10,975 | 2019-07-16 | 2026-10-09 |
| UK100m_PERIOD_D1_OHLC.csv | 2,127 | 2019-07-16 | 2026-10-09 |
| UK100m_PERIOD_W1_OHLC.csv | 378 | 2019-07-14 | 2026-10-04 |
| UK100m_PERIOD_MN1_OHLC.csv | 88 | 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 UK100 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("UK100m_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
UK100 is listed under several broker names: FTSE100, UK100Cash, FTSE 100 Index CFD. The dataset works with any of them — rename the symbol to match your MT5 Market Watch exactly.
UK100 Historical Data — FAQ
Does the FTSE 100 data include the Brexit volatility?
Yes — the daily and M30-H1 series start in July 2019, covering the October 2019 Brexit deal rally, the 2020 crash and the 2022 gilt-market shock.
What timezone are the timestamps in?
All timestamps are the broker server time from the MT5 export (typically GMT+2/GMT+3 with DST). When comparing with London local time, subtract the server offset first.
Can I use UK100 data for a session-based EA?
That is the ideal use. Filter the M30/H1 candles by hour to isolate the London open (08:00-10:00 London) and test whether your entry logic actually works in that window versus the US session.
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.