Open Source Mac Financial Software - Page 4
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Financial Software for Mac
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1
Kimai
Kimai is a web-based multi-user time-tracking application
Kimai is an open-source time-tracking solution. It tracks work time and prints out a summary of your activities on demand. Yearly, monthly, daily, by the customer, by the project. Its simplicity is its strength. Due to Kimai’s browser-based interface, it runs cross-platform, even on your mobile device. With Kimai, the boring process of feeding Excel spreadsheets with your working hours is not only simplified, it also offers dozens of other exciting features that you don't even know you're missing so far! The layout is fully responsive, made for desktop and mobile usage. Every user can configure the data columns that should be shown, e.g. to prevent horizontal scrolling on small devices. Kimai was built to be extendable, and features can be added with plugins. Developers wanting to create them can use many extension points. -
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Laravel Wallet
Easy work with virtual wallet
laravel-wallet - Easy to work with virtual wallet. -
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Optional Fund Assistant
Quickly obtain real-time data of the funds of interest
Self-selected fund assistants can view the funds you are concerned about in real-time and help you quickly obtain real-time data. It can be used to view the real-time valuation of your self-selected funds, and you can freely increase or decrease the self-selected funds. Your self-selected fund data will be synchronized with your account. After buying the fund, I have been looking for a chrome extension for PC. After all, the trading hours of stocks are carried out on working days. Unfortunately, I couldn't find it. The extended form is very suitable for office workers, without opening the website, it is only displayed in the form of a small window, which will not attract the attention of the boss, which is convenient for working and fishing. First, enter the fund code to add a fund, and the price information and income information can be displayed in the browser in the form of corner labels, which is more convenient and intuitive. -
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QuantDinger
AI-driven, local-first quantitative trading platform for research
QuantDinger is a local-first, open-source quantitative trading platform designed to bring AI-assisted analysis, strategy development, backtesting, and live execution into a self-hosted workspace where data and API credentials remain under your control. Unlike cloud-locked quant services, it lets users run the entire trading workflow on their own infrastructure using Docker, with a PostgreSQL database backend, a Python backend API, and a web frontend UI that supports visualization and strategy management. Traders and researchers can develop custom strategies in Python, run historical backtests, analyze performance, and connect to supported exchanges for live trading, making it suitable for equities, crypto, forex, and futures markets in a local environment. QuantDinger also incorporates optional AI features via external APIs, assisting in tasks like strategy ideation or interpreting market indicators, but strategy logic remains inspectable and transparent in code. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Smart Money Concepts
Discover our Python package designed for algorithmic trading
Smart Money Concepts is a Python library that implements advanced trading indicators based on the “Smart Money Concepts” methodology, which focuses on institutional market behavior and price action analysis. It is designed for algorithmic traders and quantitative analysts who want to incorporate professional trading strategies into automated systems. The library processes structured OHLC or OHLCV market data and computes indicators such as fair value gaps, order blocks, liquidity zones, and market structure changes. These indicators are inspired by ICT trading principles and are used to identify trends, reversals, and potential entry or exit points in financial markets. The system is modular, allowing users to combine different indicators and integrate them into backtesting frameworks or live trading bots. It is particularly useful for traders working in forex, crypto, or equities who rely on price action rather than traditional indicators. -
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Tally
Let agents classify your bank transactions
Tally is an open-source, AI-assisted tool designed to automate the classification of personal financial transactions, helping users turn raw bank data into meaningful categories without manual tagging. At its core, Tally pairs a local rule engine with large language models so that an AI assistant (like Claude Code, Copilot, or any CLI agent) interprets, suggests, and categorizes expenses, savings, subscriptions, and income events based on your own rules and behavior. It generates human-readable reports and can produce HTML, JSON, or Markdown outputs to suit dashboards or personal finance workflows. The project emphasizes transparency, allowing users to see why a particular transaction was classified a certain way and to refine rules over time. While it’s tailored toward developers and advanced users, it also includes an interactive command-line experience for initializing budgets, generating charts, and diving deep into spending patterns. -
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The XRP Ledger
A decentralized cryptographic ledger
The XRP Ledger is an open source, decentralized and permissionless blockchain technology powered by a network of peer-to-peer servers. It allows for really fast settlement of transactions- within 3-5 seconds- without a central intermediary and in a secure distributed database. The native digital asset on the XRP Ledger is the XRP. A public,counterparty-free asset, it is designed to bridge many different currencies being used worldwide, and is available for anyone to access and trade on the open market. XRP is faster, less costly and more scalable than any other digital asset today, and is currently being used by the company Ripple to build technology that can transform global payments. Learn more on https://ripple.com/xrp -
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TradingGym
Trading backtesting environment for training reinforcement learning
TradingGym is a toolkit (in Python) for creating trading and backtesting environments, especially for reinforcement learning agents, but also for simpler rule-based algorithms. It follows a design inspired by OpenAI Gym, offering various environments, data formats (tick data and OHLC), and tools to simulate trading with costs, position limits, observation windows etc. Licensed under MIT. This training environment was originally designed for tickdata, but also supports OHLC data format. WIP. The list contains the feature columns to use in the trading status. -
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csved
CSV Editor with Text-based User Interface (TUI) written in Pure Go
An editor for plaintext tables, consisting of columns separated by arbitrary characters and rows separated by newlines, i.e. tsv, csv and related formats. Licensed under MIT License Copyright (c) 2019 japanoise Source code: https://github.com/japanoise/csved Visit: http://albanese.atwebpages.com -
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SimpleXlsxWriter
C++ library for creating XLSX files for MS Excel 2007 and above.
This library represents XLSX files writer for Microsoft Excel 2007 and above. The main feature of this library is that it uses C++ standard file streams. On the one hand it results in almost unnoticeable memory and CPU resources consumption while processing (that may be very useful at saving a large data arrays), but on the other hand it makes unfeasible to edit data that were written. Hence, if using this library the structure of the future report should be known enough. The library is written in C++ with using STL functionality and based on the ZIP library (included), which has a free license: http://www.codeproject.com/Articles/7530/Zip-Utils-clean-elegant-simple-C-Win32 This library is distributed under the terms of the zlib license: http://www.zlib.net/zlib_license.html -
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Open Source ERP
ERP Server
The Open Source ERP is a web based. The ERP server software runs on Linux. The ERP need no plugins in the browser on the client computer. The ERP can be accessed from any where with out effort. Be it at home with your home computer (Windows, Linux, MAC OS X), or traveling with your smart phone (iPhone, iPad, Android), or in the office, the data is always at hand. Webdav interface and Active Sync for synchronizing contacts and time management. In addition to customer, order, invoice management, etc... the ERP has a complete warehouse management including a order management for material in the warehouse. -
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EasyHotspot is a web bassed billing hotspot written in PHP and MySQL. Easyhotspot is a complete billing system and ready to use. EasyHotspot comes with linux distro and other software deppendencies (Apache,MySQL,Chillispot,Freeradius).
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R-TAS
Rental Tracking and Accounting System
R-TAS is a rental income, invoicing and cost tracking system for landlords and small property management companies. The system was designed to be very intuitive and user friendly. V1.0B5 Now Available! Transfer your data over using the DMTA https://sourceforge.net/projects/fdmta/ R-TAS was created in Filemaker Pro. Three versions are included in this download: 1) The raw FMP12 File which can be run on Filemaker Pro 16 or higher or Filemaker server. (may work on older versions but not tested) 2) Compiled runtime App for Mac 3) Compiled runtime App for Windows The compiled runtime Apps do not require a copy of Filemaker Pro to run. The FMP12 file can run as a stand alone single user system or as a multi-user on Filemaker Server with Web Direct. It should also run in Filemaker go on iPad but we have not tested it yet. For more information, overview videos, and access to the Web version demo visit the R-TAS home at: http://tsi.taroko.org/TSI_Home/RTAS.html -
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JDavide (per gli amici JD) è un software gratuito per la gestione dello Studio Legale che aiuta l’avvocato nell’espletamento delle operazioni quotidiane. Funzionalità: pratiche, agenda, formulario, atti, parcellazione, rivalutazione, ecc.
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Qt Bitcoin Trader
Secure Trading Client for most popular Bitcoin exchanges
his software helps you open and cancel orders very fast. Real time data monitoring. Automated trading using JavaScript powered scripts. And now it supports JL Script, advanced strategy script language. More info https://forum.centrabit.com/viewforum.php?f=3 Next ToDo: 1 ) Advanced Charts 2 ) Add support to monitor many exchanges and currencies at the same time 3 ) Develop server to collect all ticker and depth data to provide single WebSocket connection for realtime data updates 4 ) Saving interface settings as Workspace Profiles [Done] 5 ) Develop mobile application to provide secure remote access to running application on desktop 6 ) Add plugins support to allow all developers attach any exchanges More information here: https://centrabit.com -
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QRK Registrier Kasse
QRK Registrierkassen Software für kleine Betriebe.
QRK Registrierkassen Software (Cash Register) für kleine Betriebe. Speziell für Österreichisches Gesetz (RKV geeignet) QRK ist ideal für alle Dienstleistungsunternehmen, die bislang mit Honorarnoten/Rechnungen oder Rechnungsblock mit Durchschrift (Paragon) arbeiten und eine einfache Kassenlösung suchen. Schnittstelle für Fibu und Rechnungsprogramme vorhanden. (Zb. Fakturama) -
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OpenCBS
Core Banking System for Microfinance
Note that OpenCBS Desktop is not developed anymore, it was replaced by OpenCBS Cloud in 2019. You may still download and use the Desktop version for free, but no support can be provided. If you would like to request a Free Trial of OpenCBS Cloud, please follow this link to our website: https://opencbs.com/request_cloud/ OpenCBS Desktop is an open-source Core Banking System developed primarily for microfinance institutions and smaller financial institutions It is built around a robust core extensible through plugins. The core includes user and client management, loan schedule generation, loan tracking, repayment management, savings tracking, reporting. It can be easily integrated with external agents like accounting software, POS terminals, web services, etc. -
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OptionMatrix
Financial Derivatives Calculator with 171+ Models (Options Calculator)
A real-time financial derivatives calculator supporting 171+ models from QuantLib, Financial Numerical Recipes in C++ and MetaOptions. Matrices of prices are created with iterating strikes and/or months. A strike control system can produce any strike. A generalized date engine can calculate re-occuring distances to any industry used expiration into the future. Spread engine with spread views. Models Supported: Black-Scholes, Merton-73, Black-76, Roll Geske Whaley, Garman KohlHagen, Jump Diffusion, Quanto, Vasicek Bond Option, Turnbull Wakeman Asian, TimeSwitchOption, Look Barrier, Bachelier, PartialTimeBarrier, GapOption, Extreme Spread Option, Simple Chooser, ComplexChooser, PartialFixedLB, Executive, CashOrNothing, Extendible Writer, OptionsOnOptions, BAWAmericanApprox, BSAmericanApprox, AssetOrNothing, Bisection, BAWbisection, BSbisection, Gfrench, Gcarry, Swapoption, Complex Chooser, Super Share, EquityLinkedFXO, Spread Approximation, BinaryBarrier and more -
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NSE NIFTY Index Option Chain in Excel
NIFTY Index live option chain data in Excel sheet (in simplified view)
Get the Live NIFTY Index Option Chain Data in Excel Sheet for CE & PE. Gives the snapshot of the NIFTY option chain with change in price, OI and volume. NIFTY Trend can analyzed from this Excel based on Change in Open Interest, Price and Volume. Useful for NIFTY option chain traders. Fetch the various data such as Last Traded Price (LTP), Open Interest (OI), Change in Open Interest (%), Change in Price (%), Total Volume Traded, Buy Volume, Sell Volume, Implied Volatility (IV), etc., for both Calls and Puts. A simplified Excel sheet for traders of NIFTY Index, coded in VBA, to fetch the real-time NSE NIFTY option chain price data with different expiry dates and at a few strike prices from the underlying price. Analyze in-depth for the changes in Open Interest (OI), Changes in Price as well as the Buy, Sell Volumes, Total Volumes Traded etc., at different strike prices especially few strike prices with at the money (ATM). -
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AIQuant
AI-powered platform for quantitative trading
ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. Resource summary: network-wide resource summary, practical cases, paper interpretation, and code implementation. -
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AutoTrader
A Python-based development platform for automated trading systems
AutoTrader is a Python-based platform—now archived—designed to facilitate the full lifecycle of automated trading systems. It provides tools for backtesting, strategy optimization, visualization, and live trading integration. A feature-rich trading simulator, supporting backtesting and paper trading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable of simulating multiple order types, stop-losse,s and take-profits, cross-exchange arbitrage and portfolio strategies, AutoTrader has more than enough to build a profitable trading system. -
22
Brick\Money
A money and currency library for PHP
Brick\Money is a PHP library designed to provide precise and reliable handling of monetary values using arbitrary-precision arithmetic, ensuring accuracy in financial calculations of any scale. Built on top of the brick/math library, it avoids floating point errors by using exact decimal representations, making it suitable for applications where correctness is critical, such as accounting and financial services. The library supports ISO 4217 currency standards and includes comprehensive tools for working with currency units, conversions, and rounding strategies. It is designed to handle large numbers and complex operations without loss of precision, which is essential for enterprise-level financial systems. Brick\Money also emphasizes immutability, ensuring that operations return new objects rather than modifying existing ones, which improves predictability and safety in codebases. -
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DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models
DSGE.jl is a Julia package developed by the Federal Reserve Bank of New York for estimating and analyzing dynamic stochastic general equilibrium (DSGE) models. It provides tools for Bayesian estimation, filtering, forecasting, and model comparison, supporting both academic research and policy applications. DSGE.jl includes pre-configured models used by central banks and offers extensibility for custom macroeconomic modeling. -
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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 data), and self-validation mechanisms: after getting results, Dexter checks its own outputs and refines them until it is confident about its answer. This means it's more than a simple script — it’s a research assistant that loops through analysis steps until convergence. -
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FinMind
Open Data, more than 50 financial data
In the era of big data, data is the foundation of everything. We collect more than 50 kinds of Taiwan stock related information and provide download, online analysis, and backtesting. Regardless of the program, you can download data through the api provided by FinMind, or you can download data directly from the website. After data is available, statistical analysis, regression analysis, time series analysis, machine learning, and deep learning can be performed. For individual stocks, provide visual analysis of technical, fundamental, and chip levels. According to different strategies, back-test analysis is performed to provide performance, profit and loss, and stock selection targets of different strategy investment portfolios.
