Point and Figure Chart in Python, R, Julia and JavaScript

Source code in 15 libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, plotnine, Pygal, Seaborn; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts.

A Point and Figure (P&F) chart is a price-action focused visualization that uses columns of X's (rising prices) and O's (falling prices) to display significant price movements while filtering out time and minor fluctuations. Unlike traditional time-based charts, P&F charts only plot a new symbol when price moves by a defined box size, and only start a new column when price reverses by a specified number of boxes (typically 3). This makes it ideal for identifying clear trends, support/resistance levels, and generating trading signals.

Renders

• Full-resolution render, light theme
• Full-resolution render, dark theme
• Interactive version, light theme
• Interactive version, dark theme

Preview render from the Highcharts implementation.

Implementations

• Point and Figure Chart in Altair (Python)
• Point and Figure Chart in Bokeh (Python)
• Point and Figure Chart in lets-plot (Python)
• Point and Figure Chart in Matplotlib (Python)
• Point and Figure Chart in Plotly (Python)
• Point and Figure Chart in plotnine (Python)
• Point and Figure Chart in Pygal (Python)
• Point and Figure Chart in Seaborn (Python)
• Point and Figure Chart in ggplot2 (R)
• Point and Figure Chart in Makie.jl (Julia)
• Point and Figure Chart in Chart.js (JavaScript)
• Point and Figure Chart in D3.js (JavaScript)
• Point and Figure Chart in Apache ECharts (JavaScript)
• Point and Figure Chart in Highcharts (JavaScript)
• Point and Figure Chart in MUI X Charts (JavaScript)