Plotting MACD and Candlesticks in a Python Trading Strategy
Summary
This tutorial shows how to plot candlesticks alongside the MACD indicator’s DIF, DEA, and MACD lines in a Python strategy. It configures separate price and indicator axes so the smaller indicator values remain readable next to the asset price, then repeatedly retrieves market bars and calculates MACD once enough data is available.
The example compares each bar’s timestamp with the previously processed timestamp. A new bar adds chart points, while an update to the current bar replaces the most recent points. The tutorial describes this as a reference for charting in backtests or live operation. It is an implementation example rather than a trading strategy evaluation: it gives no performance evidence, and the platform-specific chart and market-data calls may require adaptation elsewhere.
Key ideas
- Use separate vertical axes to display price candles and MACD values clearly.
- Calculate the indicator after collecting enough bars for a meaningful result.
- Compare bar timestamps to distinguish a new bar from an update to the current bar.
- Append chart points for new bars and replace the latest points when the current bar changes.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.