matplotlib/mplfinance
Mplfinance
mplfinance est un framework de tracé de séries temporelles financières et de visualisation de données de marché construit sur Matplotlib. Il est conçu pour rendre des cadres de données de marché en graphiques spécialisés, notamment des chandeliers, des barres OHLC, des briques Renko et des colonnes point-and-figure.
La bibliothèque se distingue par un framework de données de marché dédié qui gère les calendriers de trading et les périodes hors-trading, assurant un espacement temporel précis en réduisant les écarts pendant les jours fériés. Elle fournit également un système de graphiques pour l'analyse technique, permettant la superposition de moyennes mobiles, de barres de volume et d'autres indicateurs techniques sur les tracés d'action des prix.
La boîte à outils couvre un large éventail de capacités, y compris l'organisation de sous-graphiques empilés verticalement avec des axes partagés et l'application de thèmes visuels cohérents. Elle prend en charge les annotations de marché telles que les lignes de tendance, la gestion des données manquantes et la capacité de rafraîchir les graphiques pour des flux de données en temps réel. Les visualisations peuvent être exportées vers divers formats, notamment PDF, SVG, PNG et JPG.
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.
- Outils de visualisation - Matplotlib-based visualization for financial market data.
