Stock market ticker

OpenStock is a stock market analysis platform designed for tracking real-time prices, analyzing market sentiment, and managing personalized financial watchlists. It serves as a financial portfolio tracker that allows users to monitor asset performance through technical indicators and candlestick charts. The platform distinguishes itself by aggregating sentiment data from social media, news sources, and prediction markets to visualize overall investor mood. It also features a specialized onboarding workflow that collects risk tolerance and financial objectives to tailor the tracking experience

Stock is an algorithmic trading framework designed for the development, backtesting, and execution of automated investment strategies. It provides a comprehensive environment for quantitative market analysis, enabling users to build systems that connect to brokerage interfaces for order placement based on predefined technical rules. The platform distinguishes itself through integrated data acquisition and analysis capabilities, including a financial data collection engine that utilizes proxy rotation and session persistence to maintain stable connectivity and bypass rate limits. It supports h

This project is an investment portfolio tracker and performance analyzer designed to monitor the growth of stocks, cryptocurrencies, and other financial assets. It functions as a multi-account wealth aggregator, consolidating transaction records and balances from different brokers and banks into a unified view of total net worth. The system operates as a financial data aggregator that imports broker statements and transaction records into a centralized ledger. It provides tools for calculating internal rates of return and weighted returns across multiple brokerage accounts to evaluate the pro

Ticker is a terminal financial dashboard that serves as an asset price tracker, portfolio performance monitor, and watchlist manager. It provides a command line interface for monitoring real-time stock and cryptocurrency prices and tracking the value of asset holdings. The tool differentiates itself by calculating portfolio gains using lot-based cost basis tracking and performing multi-currency asset valuation. It translates international asset prices and total portfolio values into a single local currency using current exchange rates. The system manages financial assets through categorized

This project is a Python-based stock market tracker and financial data dashboard designed to fetch and visualize real-time and historical market data. It functions as a containerized financial application and analysis tool for monitoring price trends and calculating financial indicators. The system includes a metadata-driven reporting engine that transforms database tables into interactive web reports without manual page development. It further extends its analysis capabilities by embedding third-party financial interfaces and indicator calculators directly into the user interface via frames.

Hikyuu is a quantitative trading framework designed for developing, backtesting, and executing systematic trading strategies. It functions as a high-speed system that combines a financial time-series library, a multi-factor analysis tool, and a quantitative backtesting engine to support comprehensive trading research. The framework is distinguished by its high-speed computing core, which utilizes multi-threaded execution to process large volumes of market data for technical indicator generation. It supports a modular strategy composition model where signal, risk, and fund management component

This project is an algorithmic trading engine designed for the automated execution of cryptocurrency strategies. It provides a modular execution core that connects to multiple centralized and decentralized exchanges, allowing users to deploy rule-based trading logic across various spot and futures markets. The platform serves as a comprehensive environment for the entire trading lifecycle, from initial strategy development to live market operations. What distinguishes this platform is its integrated suite for quantitative analysis and predictive modeling. It features a robust backtesting engi

VeighNa is an event-driven, modular platform designed for the development, backtesting, and execution of automated financial trading strategies. It provides a comprehensive suite of tools that includes a centralized trading terminal for monitoring portfolios and market conditions, alongside a robust algorithmic trading engine that manages real-time data processing and order execution. The platform distinguishes itself through a highly decoupled architecture that isolates algorithmic logic from market connectivity, allowing for independent strategy development and testing. It utilizes a dynami

Mop is a terminal-based financial dashboard designed to monitor real-time stock market data and individual ticker quotes directly within a command-line interface. It functions as a tracker for financial assets, allowing users to maintain persistent watchlists and observe market performance metrics as they change throughout the trading day. The application distinguishes itself through its support for dynamic data analysis, enabling users to apply boolean expressions to filter and sort market information in real time. This capability allows for the isolation of specific market trends and asset