mt5.copy_ticks_range() in MetaTrader5 Python: get ticks between two dates

Copies every tick of one symbol between two dates into a numpy array, with flags to choose price ticks or trade ticks. Returns None on failure.

Signature

mt5.copy_ticks_range(symbol, date_from, date_to, flags)

What it does

copy_ticks_range() takes a start and an end date instead of a count. Use it to pull the ticks of one session or one news release.

Parameters

Parameter	What it is
`symbol`	The symbol name. Required.
`date_from`	The start of the range. Dates can be `datetime` objects or seconds since 1970. Make `datetime` objects with `tzinfo=timezone.utc` so your own machine's time zone does not shift them, and remember the terminal reads them on the broker's clock.
`date_to`	The end of the range, in the same form as `date_from`.
`flags`	Which ticks to copy: `mt5.COPY_TICKS_ALL` for every tick, `mt5.COPY_TICKS_INFO` for ticks where bid or ask changed, or `mt5.COPY_TICKS_TRADE` for ticks where the last price or volume changed.

What it returns

A numpy structured array, one row per tick, with time, bid, ask, last, volume, time_msc, flags and volume_real.
None on failure. Check mt5.last_error().

Example

from datetime import datetime, timezone
import pandas as pd
import MetaTrader5 as mt5

if not mt5.initialize():
    raise SystemExit(mt5.last_error())

start = datetime(2026, 10, 2, 12, 25, tzinfo=timezone.utc)
end = datetime(2026, 10, 2, 12, 35, tzinfo=timezone.utc)
ticks = mt5.copy_ticks_range("EURUSD", start, end, mt5.COPY_TICKS_ALL)
if ticks is None:
    raise SystemExit(mt5.last_error())

df = pd.DataFrame(ticks)
df["time"] = pd.to_datetime(df["time_msc"], unit="ms")   # broker clock
print(df[["time", "bid", "ask"]].head())
mt5.shutdown()

Common mistakes

Bar and tick times are the broker's server clock written as if it were UTC. On most servers that is two or three hours ahead of true UTC. Add the broker's offset before you compare them with real UTC times.
A ten-minute window around a news release can hold thousands of ticks. Keep ranges short.
Select the symbol in Market Watch first.

The same with Tickwire on Linux

The package needs a Windows terminal on the same machine. Tickwire runs the terminal for you and gives you a REST API, so the code below runs on Linux, macOS or a server.

Tickwire's ticks route reads forward from startTime with limit and offset. For a range, keep paging until a tick's time passes your end date. It is MT5 only; MT4 answers not_supported_on_mt4.

GET /users/current/accounts/{account_id}/historical-market-data/symbols/{symbol}/ticks

import os, requests

API = "https://api.tickwire.io"
h = {"auth-token": os.environ["TW_KEY"]}      # your Tickwire key
base = f"{API}/users/current/accounts/{os.environ['TW_ACCOUNT']}"

url = f"{base}/historical-market-data/symbols/EURUSD/ticks"
rows, offset = [], 0
while True:
    page = requests.get(url, params={"startTime": "2026-10-02T12:25:00Z",
                                     "offset": offset, "limit": 1000}, headers=h).json()
    rows += [t for t in page if t["time"] < "2026-10-02T12:35"]
    if len(page) < 1000 or page[-1]["time"] >= "2026-10-02T12:35":
        break
    offset += len(page)
print(len(rows), "ticks")

Related error codes

All MetaTrader5 Python functions

MT5 from Python, on any machine

One REST API for MT4 and MT5, with idempotent orders and an audit log. Read the MT5 Python API page or the quickstart.

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