Search Results for "finance"
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Showing 412 open source projects for "finance"
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Finance
150+ quantitative finance Python programs
Finance is a repository that compiles structured notes and educational material related to financial analysis, markets, and quantitative finance concepts. The project focuses on explaining key principles used in finance and investment analysis, including topics such as financial statements, valuation models, portfolio theory, and financial markets. -
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Finance Database
This is a database of 300.000+ symbols containing Equities, ETFs, etc.
As a private investor, the sheer amount of information that can be found on the internet is rather daunting. Trying to understand what type of companies or ETFs are available is incredibly challenging with there being millions of companies and derivatives available on the market. Sure, the most traded companies and ETFs can quickly be found simply because they are known to the public (for example, Microsoft, Tesla, S&P500 ETF or an All-World ETF). However, what else is out there is often... -
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Yahoo! Finance market data downloader
Yahoo! Finance market data downloader
Ever since Yahoo! finance decommissioned their historical data API, many programs that relied on it to stop working. yfinance aims to solve this problem by offering a reliable, threaded, and Pythonic way to download historical market data from Yahoo! finance. yfinance aimed to offer a temporary fix to the problem by scraping the data from Yahoo! Finance and returning a the data in the same format as pandas_datareader's get_data_yahoo(), thus keeping the code changes in existing software to a minimum. ... -
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Actual
A local-first personal finance app
...The application includes features for importing transactions, reconciling accounts, and analyzing financial trends over time, making it suitable for both personal and household finance management. -
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Fedimint
Federated E-Cash Mint
...It allows groups of users to collectively manage Bitcoin in a trust-minimized manner while enabling fast, anonymous, and scalable transactions through blind signatures. Built with extensibility and modularity in mind, Fedimint aims to serve as the core of community custody systems like Fedi and future federated finance applications. It supports pluggable modules, robust auditability, and seamless Lightning Network integration. -
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Firefly III
Firefly III: a personal finances manager
Firefly III is a personal finance manager and double-entry accounting tool built to help individuals and small organizations track budgets, investments, debts, and expenses. Users can import bank statements (CSV, OFX, QIF) or integrate via APIs, map transaction categories, and reconcile accounts. The system supports budgeting schedules, repeating transactions, automatic categorization rules, and reporting dashboards to analyze trends over time. -
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Awesome-Quant
A curated list of insanely awesome libraries, packages and resources
awesome-quant is a curated list (“awesome list”) of libraries, packages, articles, and resources for quantitative finance (“quants”). It includes tools, frameworks, research papers, blogs, datasets, etc. It aims to help people working in algorithmic trading, quant investing, financial engineering, etc., find useful open source or educational resources. Licensed under typical “awesome” list standards. -
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Finance::Quote is a perl module that fetches delayed on-line stock quotes. The Finance::Quote can fetch quote from a variety of sources, including the NYSE, the ASX, and a number of European exchanges.
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Maybe
The personal finance app for everyone
Maybe is an open-source personal finance and wealth management application designed to help users manage their finances effectively. Originally developed as a comprehensive platform, it included features like connecting with certified financial advisors. Although the commercial venture was discontinued, the source code remains available for the community to explore and build upon. -
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WYGIWYH
A simple but powerful self-hosted finance tracker
WYGIWYH (What You Get Is What You Have) is a self-hosted, principles-first personal finance tracker built for people who prefer a simple, intuitive approach to tracking money without complicated budgets or categories. Based on a philosophy that you should use what you earn each month for that month, it helps you understand where your funds go while keeping savings clearly separated so they aren’t accidentally dipped into for everyday expenses. -
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Dexter
An autonomous agent for deep financial research
Dexter is an autonomous agent tailored for deep financial research: you pose complex financial questions (for example, about a company’s revenue growth or financial ratios) and Dexter breaks them down into structured research tasks, fetches relevant real-time data (e.g. income statements, cash flows), performs analysis, and returns data-backed answers. It uses a multi-agent architecture with components such as a planning agent (to decompose queries), an action agent (to run tasks & fetch... -
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AI Hedge Fund
An AI Hedge Fund Team
...Its structure is educational: intended more as a proof-of-concept than a ready-to-use financial product, giving learners insight into the mechanics of quantitative finance automation. The project underlines AI’s potential in investment strategies but also carries disclaimers that it is for research and not financial advice. The implementation is designed so developers can study the pipeline end-to-end: from data ingestion through modeling to simulated portfolio management. -
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Volcano
A Cloud Native Batch System (Project under CNCF)
...Volcano builds upon a decade and a half of experience running a wide variety of high-performance workloads at scale using several systems and platforms, combined with best-of-breed ideas and practices from the open-source community. Until June 2021, Volcano has been widely used around the world at a variety of industries such as Internet/Cloud/Finance/ Manufacturing/Medical. More than 20 companies or institutions are not only end users but also active contributors. -
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Nixtla TimeGPT
TimeGPT-1: production ready pre-trained Time Series Foundation Model
TimeGPT is a production ready, generative pretrained transformer for time series. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code. Whether you're a bank forecasting market trends or a startup predicting product demand, TimeGPT democratizes access to cutting-edge predictive insights, eliminating the need for a dedicated team of machine learning engineers. A generative model for time series. TimeGPT is capable of accurately predicting various domains such as retail, electricity, finance, and IoT. -
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FinGPT
Open-Source Financial Large Language Models
FinGPT is an open-source, finance-specialized large language model framework that blends the capabilities of general LLMs with real-time financial data feeds, domain-specific knowledge bases, and task-oriented agents to support market analysis, research automation, and decision support. It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. ... -
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Actual Budget
Fast, privacy-focused personal finance app
Actual Budget is a fast, privacy-focused personal finance app built around the proven envelope budgeting methodology. It keeps you in control of your money with tools designed to help you make thoughtful financial decisions rather than relying on automated guesswork. The app is fully local-first, meaning it works offline and syncs quietly across your devices without ever compromising ownership of your data. -
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pmxt
A unified API for trading across prediction markets
PMXT is a powerful, cross-platform terminal emulator and multiplexer designed to enhance productivity for command-line users by seamlessly blending terminal emulation with workspace management. It lets you run multiple shell sessions in panes and tabs, detach and reattach to workspaces, and persist session layouts—making it ideal for developers, sysadmins, and power users who juggle many concurrent tasks. PMXT also includes built-in features like customizable keybindings, layout presets, and... -
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Public APIs
A collective list of free APIs
...Curated by community contributors and the team at APILayer, it serves as a centralized resource for discovering APIs across a wide range of domains, including data, machine learning, weather, entertainment, and finance. The project aims to make API exploration and integration more accessible by offering a single, organized index of open and free-to-use APIs. Developers can leverage this list to enhance their products, prototypes, or research projects without the need to build data sources from scratch. The repository’s open nature encourages contributions, allowing anyone to submit new APIs or updates through pull requests. ... -
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AutoHedge
Build your autonomous hedge fund in minutes
AutoHedge is an AI-driven financial automation system designed to simulate and manage hedging strategies using intelligent agents. The project focuses on applying autonomous decision-making to financial risk management, allowing agents to analyze market conditions and adjust positions dynamically. It is built around the concept of algorithmic hedging, where strategies are executed programmatically rather than manually, enabling faster and more consistent responses to market changes. The... -
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EZ Bookkeeping
A lightweight, self-hosted personal finance app
Ez Bookkeeping is an open-source personal finance and bookkeeping web application designed to help individuals and small businesses track income, expenses, accounts, and budgets with simplicity and clarity. It provides a clean, modern interface where users can enter transactions, categorize expenses, and visualize financial data through dashboards, charts, and monthly summaries so that users can better understand their cash flow and spending patterns. -
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Liberapay
Source code of the recurrent donations platform Liberapay
Liberapay is an open-source platform designed to facilitate recurring donations to creators, developers, and projects, with a strong emphasis on transparency, privacy, and sustainability. It operates as a nonprofit service that allows users to financially support individuals or teams on a weekly, monthly, or yearly basis without expecting rewards in return. The platform is particularly focused on funding open-source software, free knowledge, and creative work, helping contributors maintain... -
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FinGLM
Committed to building an open, public welfare
FinGLM is an open-source financial large language model initiative aimed at advancing artificial intelligence applications within the finance industry. The project focuses on developing domain-specific language models that understand financial terminology, corporate reports, and economic datasets. By combining large language model architectures with financial datasets such as corporate annual reports and structured financial records, FinGLM aims to improve AI performance on tasks that require domain expertise. ... -
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Budget
Get a grip on your finances
Budget is an open-source web application designed to help users manage their personal finances by tracking transactions, organizing expenses, and visualizing spending patterns. It is built as a self-hostable platform, giving users full control over their financial data while still offering the convenience of a modern web interface. The application allows users to input transactions manually or import them from CSV files, making it adaptable to different workflows and banking systems. It... -
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Machine Learning and Data Science Apps
A curated list of applied machine learning and data science notebooks
...Instead of being a single software framework, it acts as a knowledge base containing links to practical projects, notebooks, datasets, and libraries that demonstrate how machine learning can be applied across different sectors. The repository organizes resources by industry categories such as finance, healthcare, agriculture, manufacturing, government, and retail, allowing practitioners to explore domain-specific machine learning use cases. Most examples are written in Python and frequently use Jupyter notebooks to present practical implementations and experiments. The project encourages contributions from data scientists and domain experts who want to share applied analytics projects and techniques that address real business challenges.
