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I will build financial data pipelines and trading datasets using python
About this Gig
I help traders, researchers, and analysts collect and prepare financial data using Python.
If you need reliable financial datasets for analysis, research, or trading strategies, I can build custom data pipelines to automate the process.
Services I offer:
- Financial data scraping from websites
- API data collection (stock, crypto, financial APIs)
- OHLCV market data extraction
- Python scripts for automated data collection
- Clean datasets for trading research or backtesting
- Data delivered in CSV or Excel format
Example projects:
- Stock market data scraper
- Cryptocurrency OHLCV dataset collector
- Automated financial data pipeline
- Dataset preparation for trading strategies
Tools I use:
Python, Pandas, APIs, Selenium, BeautifulSoup, Playwright, and data automation techniques.
Please contact me before ordering if your project involves multiple data sources or complex automation.
I look forward to helping you build reliable financial datasets.
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FAQ
What do you need from me to start?
I need the data source (website/API name + example URL), the exact fields you want (e.g., date, open, high, low, close, volume), the date range, and any API keys or credentials if required. If you’re unsure, send a short explanation of your goal and I’ll advise.
What file formats will I receive?
I deliver cleaned data as CSV or Excel (XLSX) by default. On request I can provide JSON, a SQLite/Postgres dump, or a simple Python script that reproduces the pipeline.
Can you prepare data for backtesting?
Yes, I can format OHLCV data and add common backtest fields (timestamp normalization, adjusted close, timezone alignment, missing-value handling). Tell me your backtester (e.g., Backtrader, Zipline, QuantConnect, custom) and I’ll match the format.
