usmanch96

Download unlimited Quotex historical candle data via Python β€” bypasses the 199-candle WebSocket limit

15
2
69% credibility
Found Apr 27, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A tool for downloading extensive historical candlestick data from the Quotex trading platform into CSV files, bypassing standard retrieval limits.

How It Works

1
πŸ“ˆ Need past price data

You're testing trading ideas but the broker only gives a tiny bit of historical price charts.

2
πŸ” Find the downloader

You discover this handy tool that pulls way more past trading data from Quotex than usual.

3
πŸ“ Add demo details

Enter your free demo account login so the tool can safely connect without risking real money.

4
πŸš€ Pick and download

Choose your currency pair, candle size like 1-minute, and days back – it grabs thousands of candles super fast!

5
πŸ’Ύ Save the file

Everything lands in a clean spreadsheet file ready for your charts or analysis.

6
πŸ” Verify quality

Run a quick check to confirm no missing spots and see bullish/bearish patterns.

πŸŽ‰ Ready to analyze

Now backtest strategies or build models with full reliable history feeling empowered.

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Star Growth

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AI-Generated Review

What is quotex-historical-data?

This Python tool lets you download unlimited Quotex historical candle data via WebSocket, bypassing the standard 199-candle limit that cripples backtesting and ML training. Run the interactive CLI to fetch days or weeks of OHLC data for OTC assets like EURUSD_otc on timeframes from 5s to daily, saving clean CSVs with timestamps, ticks, and validation reports. Built on pyquotex with a simple get_candles_deep API for scripting your own historical data downloads.

Why is it gaining traction?

Unlike basic Quotex APIs stuck at 199 candles, it reverse-engineers broker payloads for thousands of candles in one callβ€”30 days of 1m data in under a minute. The CLI handles assets, periods, and progress bars out of the box, plus verify scripts flag gaps and fakes, making quotex historical data reliable for real strategies. Devs grab the repo via download github repository as zip or git clone for instant unlimited candle downloads.

Who should use this?

Quant traders backtesting binary options on Quotex OTC pairs, algo devs needing broker-native candles for signals, or ML engineers training price prediction models without data gaps. Ideal for anyone scraping historical data for edge cases like USDPKR_otc weekends, skipping manual browser exports or paid feeds.

Verdict

Solid niche fix for Quotex usersβ€”grab it if you need deep candle data, but with 15 stars and 0.7% credibility score, treat as experimental; docs are strong but add your own tests before production. Worth forking for custom bots.

(198 words)

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