Historical Market Data Download for Strategy Backtesting

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This guide provides a comprehensive overview of downloading historical market data for various asset classes, essential for robust strategy backtesting. Learn how to access, organize, and utilize these datasets effectively.


Key Asset Classes and Data Sources

1. Chinese A-Shares (Stocks)

Primary Sources:

Best Practices:

πŸ‘‰ Explore A-Shares datasets


2. Hong Kong Stocks (HKEX)

Primary Source:

Limitations:


3. Futures Contracts

Primary Sources:

Pro Tip:


4. Cryptocurrencies (Binance)

Primary Source:

Notes:

Example Workflow:

# Daily cron job to append fresh data  
0 3 * * * /path/to/reboot_sync_currency_klines.py  

5. Pre-Packaged Data via QQ Group

Download ready-to-use datasets for local testing:

A. VNPY-Compatible Data

B. Cryptocurrency Data

C. Futures Data


FAQs

Q1: How often should I update my historical data?

Schedule daily downloads for equities/crypto; weekly for less volatile assets.

Q2: Why use backward-filled (adjusted) data for stocks?

It automatically accounts for corporate actions (splits/dividends), simplifying backtests.

Q3: Are there free alternatives to Tianqin Pro for futures?

Goldminer’s 90-day data is the best free tier, but long-term backtests require paid solutions.

Q4: Can I automate all downloads?

Yes! Use cron jobs (Linux) or Task Scheduler (Windows) to run scripts periodically.

Final Tip: Always verify data completeness and consistency before backtesting.

πŸ‘‰ Optimize your backtest workflow today