Awesome GitHub RepositoriesTrading Dashboards

This project is a futures algorithmic trading system designed to execute high-performance trading strategies through direct API integrations and low-latency message routing. It features a strategy execution engine that automates order placement and manages trade flows based on predefined logic and API triggers. The system utilizes a native trading API bridge and a low-latency message bus to interface internal logic with external exchange APIs while minimizing execution delays. Monitoring is handled through a web-based trading dashboard for real-time activity tracking and remote management. B

python-binance is a Python client library that provides programmatic access to the Binance cryptocurrency exchange through both REST and WebSocket APIs. It serves as a comprehensive toolkit for automated trading, account management, and market data retrieval, enabling developers to build trading bots, portfolio management tools, and data analysis applications that interact directly with the exchange. The library distinguishes itself through a dual-client architecture that separates synchronous REST calls from persistent WebSocket streams, allowing concurrent execution without blocking. It inc

This project is an automated cryptocurrency trading platform for the Binance exchange. It functions as a technical analysis trading tool and grid trader, executing strategies and managing assets without manual intervention. The platform is distinguished by its multi-service containerized architecture, which orchestrates a listener, cache, and database. It utilizes a secure web dashboard for monitoring active trades and adjusting bot parameters, protected by password and token-based authentication. The system covers a broad range of trading capabilities, including grid and trailing order auto

aiquanttrade is an AI-driven quantitative trading platform that enables the development, backtesting, and deployment of trading strategies powered by machine learning and artificial intelligence. It provides a complete local environment for quantitative research, simulation, and automated live trading through brokerage APIs, supporting both historical backtesting and real-time paper trading without capital risk. The platform distinguishes itself through a modular, event-driven architecture that separates strategy logic from execution, allowing rule-based and machine learning models to be co

tqsdk-python is a quantitative trading SDK and framework designed for developing automated strategies for futures, options, and stocks using Python. It functions as an algorithmic trading engine and financial market data API, providing the tools necessary to backtest strategies, analyze historical data, and execute live trades across multiple brokerage accounts. The project distinguishes itself through a specialized option analytics library that calculates Greeks, implied volatility, and volatility surfaces using the Black-Scholes model. It further supports complex order execution patterns, s

Tribeca 是一个 Node.js 加密货币交易平台，专为高频交易和自动做市而设计。它作为一个低延迟执行引擎，自动化在多个加密货币交易所提供流动性和捕获价格差价的过程。 该系统采用连接层通过持久网络连接流式传输实时市场数据并执行交易。它使用基于适配器的集成将多样化的交易场所 API 规范化为统一格式，从而允许在多个不同的加密货币场所进行协调活动。 该平台包括一个用于根据历史数据验证策略的算法回测器，以及一个用于监控活跃头寸和报价参数的可视化控制仪表板。其他功能涵盖事件驱动的订单执行、基于状态的头寸跟踪，以及用于审计交易记录的持久数据库存储。

react-stockcharts 是一个使用 React 和 D3 构建的金融图表库，用于可视化市场价格数据。它提供了一个用于渲染股票图表和蜡烛图可视化以表示市场走势的系统。 该库作为技术分析工具，计算并在价格图表上叠加数学交易指标。它包括一个交互式界面，通过缩放、平移和添加手动几何注释来导航金融数据。 该项目涵盖了金融数据可视化、市场价格跟踪以及交互式交易仪表板的创建。

This project is a high-performance C++ trading engine designed for automated cryptocurrency market making and high-frequency trading. It functions as a liquidity provision tool that executes rapid order adjustments and quote placements to capture the bid-ask spread. The system utilizes a fair-value pricing model to estimate target asset prices based on real-time exchange data. It features a self-hosted trading dashboard that provides a web interface for monitoring portfolio holdings, visualizing market metrics, and manually controlling automated trading instances. The software includes capab

This project is an automated cryptocurrency trading platform and server-side framework designed for executing trades and managing digital asset portfolios. It provides a unified environment for running algorithmic strategies across multiple exchanges, allowing for the automated placement of buy and sell orders without manual intervention. The system distinguishes itself through a modular plugin architecture that separates trading logic from core execution, enabling users to customize or swap algorithms as needed. It utilizes an event-driven execution loop that processes real-time market data

QuantMuse is an algorithmic trading platform and quantitative trading framework that integrates large language models with mathematical analysis to automate market insights and trading strategies. It functions as a system for building, backtesting, and executing strategies using both historical and real-time market data. The framework is distinguished by its use of large language models for financial analysis and sentiment extraction from news and social media. It utilizes autonomous agents with chain-of-thought reasoning to generate market intelligence and strategic reports, while employing

这是一个用于 Lightweight Charts 库的 Python 封装，旨在渲染交互式的浏览器端金融可视化图表。它是一个构建自定义金融仪表盘和界面的框架，能够集成实时市场数据流和历史数据序列。 该库支持通过组合多面板图表、自选股列表和订单录入表格来构建复杂的布局，并将其整合进统一的工作区。它通过将实时 Tick 或 Bar 数据直接流式传输到活跃的图表中，支持实时市场监控，无需刷新页面即可实现增量更新。 除了基础渲染，该工具包还提供了强大的技术分析功能，包括直接在画布上绘制标注、趋势线和标记。用户可以配置蜡烛图、成交量柱状图和图例的视觉外观，并将时间周期选择或键盘快捷键等交互操作映射到自定义的 Python 逻辑中。