Summary
In this chapter, we learned about the general principles of handling charts with Python. Now, we can quickly find the required part of historical data and plot it as line or candlestick charts. We also learned how to plot live market data and update the charts in real time. Finally, we learned how to add custom graphics to a price chart and discovered that crossing the spread can indeed be a potentially valuable trading signal. We are prepared to visualize any data, be it market prices or the performance of our trading algorithm, so it’s high time we step into the domain of trading strategies to understand how and why they work, and to make the right choice for further development. This is what we are going to consider in the next chapter.
