What does matplotlib/mplfinance do?

mplfinance is a financial time-series plotter and market data visualization framework built on Matplotlib. It is designed to render market data frames into specialized charts, including candlesticks, OHLC bars, Renko bricks, and point-and-figure columns.

What are the main features of matplotlib/mplfinance?

The main features of matplotlib/mplfinance are: Matplotlib, Financial Time-Series Plotters, Non-Trading Gap Management, Candlestick Charts, Financial Market Visualizers, OHLC Bar Charting, Trading Calendar Alignment, Financial Charting Extensions.

What are some open-source alternatives to matplotlib/mplfinance?

Open-source alternatives to matplotlib/mplfinance include: rrag/react-stockcharts — react-stockcharts is a financial charting library built with React and D3 for visualizing market price data. It… ranaroussi/quantstats — QuantStats is an open-source Python library that calculates risk and return metrics from a portfolio return series and… louisnw01/lightweight-charts-python — This project is a Python wrapper for the Lightweight Charts library, designed to render interactive, browser-based… apexcharts/apexcharts.js — ApexCharts is a comprehensive JavaScript charting library designed for building interactive, responsive, and… naver/billboard.js — billboard.js is a JavaScript charting library built on D3.js that renders interactive data visualizations from a… gbeced/pyalgotrade — pyalgotrade is a Python algorithmic trading library designed for developing, backtesting, and executing automated…

Mplfinance - Finanzmarktdaten grafisch darste…

Features

Matplotlib - Uses Matplotlib's object-oriented API to render financial data into static plots and figures.
Financial Time-Series Plotters - Provides a specialized framework for rendering OHLC, candlestick, Renko, and point-and-figure charts from market data.
Non-Trading Gap Management - Manages trading calendars to ensure accurate temporal spacing by collapsing gaps during non-trading periods.
Candlestick Charts - Renders financial data as candlesticks with adjustable hollow and filled bar styles.
Financial Market Visualizers - Renders professional financial price charts including candlesticks and OHLC bars from time-series data.
OHLC Bar Charting - Visualizes open, high, low, and close market data using traditional tick-based price bars.
Trading Calendar Alignment - Collapses non-trading gaps on the x-axis to ensure accurate temporal spacing of market data.
Financial Charting Extensions - Implements a specialized plotting toolkit for creating financial charts and technical analysis visualizations using Matplotlib.
Matplotlib Subplot Compositions - Implements the composition of multiple synchronized subplots within a single figure for price and volume overlays.
Financial Charting - Generates a comprehensive suite of financial plots including OHLC, candle, line, Renko, and point-and-figure.
Pandas Financial Frameworks - Builds upon Pandas DataFrames to manage time-series alignment and calculate technical indicators.
Technical Indicators - Provides capabilities to overlay moving averages and other financial technical indicators on price charts.
Technical Analysis Visualizers - Overlays moving averages, volume bars, and technical indicators on financial price charts.
Live Chart Animations - Develops dynamic charts that update in real time to track live streaming price feeds.
Plot Axis Customizers - Provides controls for adjusting axis titles, date formatting, and coordinate system labels.
Plot Styling Configurators - Provides tools for setting global plot styling and aesthetic themes across financial charts.
Renko Charting - Generates price charts based on price movement bricks rather than fixed time intervals.
Stacked Subplots - Generates vertically stacked subplots sharing a single axis to visualize price action alongside indicators.
Point and Figure Charting - Plots price reversals using columns of symbols based on configurable reversal parameters.
Real-Time Plot Updates - Enables dynamic refreshing of charts using animation techniques for streaming market data feeds.
Chart Generators - Generates specialized financial chart geometries from structured OHLC data based on configurable rules.
Trading Volume Charts - Adds dedicated volume charts to financial plots to visualize trading activity over time.
Plot Layout Engines - Organizes multiple financial data panels into a single figure with configurable relative sizes and alignments.
Chart Visual Style Customizations - Applies consistent visual themes to colors, grid styles, and axis placements using predefined configurations.
Theme Customization - Allows the definition and saving of aesthetic themes for charts through specific color schemes and font settings.
Financial Analytics - Visualization tools for financial market data.
Visualization Tools - Financial market data visualization using Matplotlib.
Financial Visualization - Matplotlib-based utilities for financial data plotting.
Visualisierungs-Tools - Matplotlib-based visualization for financial market data.

Open-Source-Alternativen zu Mplfinance

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Mplfinance - Finanzmarktdaten grafisch darste… | Awesome Repos

matplotlibmplfinance

Mplfinance

Features

Open-Source-Alternativen zu Mplfinance

rrag/react-stockcharts

ranaroussi/quantstats

louisnw01/lightweight-charts-python

apexcharts/apexcharts.js

Frequently asked questions

Star-Verlauf

Open-Source-Alternativen zu Mplfinance

rrag/react-stockcharts

ranaroussi/quantstats

louisnw01/lightweight-charts-python

apexcharts/apexcharts.js

Frequently asked questions