matplotlib/mplfinance
Mplfinance
mplfinance este un framework de vizualizare a datelor financiare și a seriilor temporale, construit pe baza Matplotlib. Este conceput pentru a randa cadre de date de piață în grafice specializate, inclusiv lumânări japoneze (candlesticks), bare OHLC, cărămizi Renko și grafice point-and-figure.
Biblioteca se distinge printr-un framework dedicat datelor de piață care gestionează calendarele de tranzacționare și perioadele non-tranzacționabile, asigurând o spațiere temporală precisă prin eliminarea golurilor din timpul sărbătorilor. De asemenea, oferă un sistem pentru grafice de analiză tehnică, permițând suprapunerea mediilor mobile, a barelor de volum și a altor indicatori tehnici peste evoluția prețurilor.
Toolkit-ul acoperă o gamă largă de capabilități, inclusiv organizarea de subplot-uri stivuite vertical cu axe partajate și aplicarea unor teme vizuale consistente. Suportă adnotări de piață precum liniile de trend, gestionarea datelor lipsă și capacitatea de a reîmprospăta graficele pentru fluxuri de date în timp real. Vizualizările pot fi exportate în diverse formate, inclusiv PDF, SVG, PNG și 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.
- Instrumente de vizualizare - Matplotlib-based visualization for financial market data.
