MATIC (Polygon (MATIC)) Historical Data CSV Free Download

MATIC Historical Data — Timeframe Breakdown

M1, M5 and M15 contain the most recent 100,000 candles before the broker delisted the symbol; M30 and above carry the full history from to . This is the complete available broker history for MATIC.

CSV Columns Explained

How to Use the MATIC 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("MATICUSDm_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

MATIC is listed under several names depending on the broker: MATICUSD, MATIC/USD, Polygon CFD. The dataset works with any of them — rename the files or the custom symbol to match your MT5 Market Watch exactly.

MATIC Historical Data — FAQ

How far back does the MATIC data go?

MATIC data spans Oct 2021 – Aug 2024. M30, H1, H4, D1, W1 and MN1 hold the full history for that window; M1, M5 and M15 contain the most recent 100,000 candles before the symbol was delisted. This is the complete available broker history for MATIC.

Why does the MATIC data end in Aug 2024?

The broker delisted MATIC in Aug 2024, so the feed stops there — this ZIP contains every candle the feed produced from Oct 2021 to Aug 2024. You can still load it into MT5 as a custom symbol for backtesting, or use it in Python for research. Delisted windows like this are valuable because the data is frozen and cannot be revised.

Can I use this data for MT5 backtesting and machine learning?

Yes. Every file is plain CSV: Timestamp, Open, High, Low, Close, TickVolume, Spread. Crypto trades 24/7 including weekends, so the series has no session gaps. Since the symbol is no longer live at this broker, import it as a custom symbol in MT5 to run Strategy Tester backtests, or load it directly in pandas.

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