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. The library distinguishes itself through a dedicated market data framework that manages trading calendars and non-trading periods, ensuring accurate temporal spacing by collapsing gaps during holidays. It also provides a system for technical analysis charting, enabling the overlay of moving averages, volume bars, and other technical indicator
react-stockcharts is a financial charting library built with React and D3 for visualizing market price data. It provides a system for rendering stock charts and candlestick visualizations to represent market movement. The library functions as a technical analysis tool that computes and overlays mathematical trading indicators on price charts. It includes an interactive interface for navigating financial data through zooming, panning, and the addition of manual geometric annotations. The project covers financial data visualization, market price tracking, and the creation of interactive tradin
This project is a Python wrapper for the Lightweight Charts library, designed to render interactive, browser-based financial visualizations. It serves as a framework for building custom financial dashboards and interfaces that integrate live market feeds and historical data series. The library enables the construction of complex layouts by combining multi-pane charts, watchlists, and order entry tables into a single unified workspace. It supports real-time market monitoring by streaming live tick or bar data directly into active visualizations, allowing for incremental updates without requiri
pyalgotrade is a Python algorithmic trading library designed for developing, backtesting, and executing automated trading strategies. It provides a comprehensive framework for financial strategy backtesting, a technical analysis library for computing mathematical indicators, and connectors for cryptocurrency exchange integration. The project distinguishes itself by supporting sentiment-based trading through the integration of real-time social media feeds and keyword streams. It features a quantitative trading visualization tool for plotting price action and portfolio equity curves, along with
KLineChart is a high-performance financial charting library and data visualization engine. It uses native browser canvas APIs to render interactive candlestick charts and time-series financial data for web and mobile applications.
Les fonctionnalités principales de klinecharts/klinechart sont : Financial Charting, Time Series Management, Canvas Rendering Engines, Native Canvas Chart Renderers, Technical Indicators, Plugin-Based Indicator Engines, Chart Customization Frameworks, Technical Analysis Visualizers.
Les alternatives open-source à klinecharts/klinechart incluent : matplotlib/mplfinance — mplfinance is a financial time-series plotter and market data visualization framework built on Matplotlib. It is… rrag/react-stockcharts — react-stockcharts is a financial charting library built with React and D3 for visualizing market price data. It… louisnw01/lightweight-charts-python — This project is a Python wrapper for the Lightweight Charts library, designed to render interactive, browser-based… gbeced/pyalgotrade — pyalgotrade is a Python algorithmic trading library designed for developing, backtesting, and executing automated… apexcharts/apexcharts.js — ApexCharts is a comprehensive JavaScript charting library designed for building interactive, responsive, and… leeoniya/uplot — uPlot is a high-performance canvas time series charting library designed to render millions of data points with high…