minute-analysis

To backtest a trading strategy using minute-level candlestick data, you configure your data source, target codes, date range, and interval. The skill retrieves the minute candlesticks and executes the backtest with customizable parameters like initial cash and commission.

Yes, you can retrieve minute candlesticks from yfinance and Tushare, as well as OKX. These integrated data sources support detailed financial analysis and strategy development directly within the skill.

You need pandas, numpy, and requests installed in your Python environment for minute-level data analysis and backtesting. These libraries handle data retrieval, processing, and numerical calculations required for strategy evaluation.

Yes, minute-level backtesting supports customizable configurations for trading commissions. You can define specific parameters such as initial cash, commission rates, and time intervals like 5-minute candlesticks in your configuration setup.

The best way to analyze BTC-USDT minute data for strategy development is to configure a backtest using the OKX data source. You specify the cryptocurrency pair, date range, and minute interval to retrieve candlesticks and evaluate your strategy.

Limitations when retrieving minute candlesticks depend on the specific data source selected, such as OKX, Tushare, or yfinance. Data availability, historical depth, and API rate limits for minute-level intervals vary across these external platforms.