Open Source Python Financial Software
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Python Financial Software
View 8178 business solutionsBrowse free open source Python Financial Software and projects below. Use the toggles on the left to filter open source Python Financial Software by OS, license, language, programming language, and project status.
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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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Forex Assistant
Manage accounts, analyze trades, track strategies & stats , News & Cal
Forex Assistant is a comprehensive Windows desktop application designed to support forex traders in every aspect of their trading journey. From essential trading calculators and market insights to powerful account and trade management, it brings everything you need into one intuitive platform. 🔑 Main Features 🧮 Calculator Tools Profit/Loss Calculator Currency Converter Position Size Calculator Pips Calculator Margin Calculator 🌍 Market Insights Live Market News Economic Calendar 📊 Account Manager Add multiple trading accounts with balance and custom descriptions. Track current balance, profit/loss, and drawdown (daily and total). Add and manage positions manually with full details: entry price, stop loss, take profit, volume, PNL, and notes. Add notes for every trade: describe the strategy used, whether the trade was emotional or technical. Import historical trades directly from MetaTrader HTML reports. 📈 Trade Analysis & Insights -
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OpenBB Terminal
Investment research for everyone, anywhere
Fully written in python which is one of the most used programming languages due to its simplified syntax and shallow learning curve. It is the first time in history that users, regardless of their background, can so easily add features to an investment research platform. The MIT Open Source license allows any user to fork the project to either add features to the broader community or create their own customized terminal version. The terminal allows for users to import their own proprietary datasets to use on our econometric menu. In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. This is ideal for finance content creation. Create notebook templates (through papermill) which can be run on different tickers. This level of automation allows to speed up the development of your investment thesis and reduce human error. -
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Prophet
Tool for producing high quality forecasts for time series data
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal setting. We’ve found it to perform better than any other approach in the majority of cases. We fit models in Stan so that you get forecasts in just a few seconds. Get a reasonable forecast on messy data with no manual effort. Prophet is robust to outliers, missing data, and dramatic changes in your time series. -
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Cryptocheck
Monitors balances of your cryptocurrency addresses
Cryptocheck monitors balances of your cryptocurrency addresses and raises an alert in case of any change detected. It connects to known block explorer API services to verify balances. It is useful for long-term investors with multiple different cryptocurrencies in their portfolio. You no longer need to access all your wallets with passwords to simply just check that your money are still there. Cryptocheck also provides a simple profit calculation and history charts mapping your portfolio history. And there is also a server node available! It continuously monitors balances, records history data and sends all the data to your Cryptocheck desktop application. Supported cryptocurrencies: https://sourceforge.net/p/cryptocheck/wiki/Home/#supported-cryptocurrencies For more details about Cryptocheck and how to use it, see wiki: https://sourceforge.net/p/cryptocheck/wiki I am open to add other cryptocurrencies on your request. -
Connect every part of your business to one bank accountNorth One is proudly built for small businesses, startups and freelancers across America. Make payments easily, keep tabs on your money and put your finances on autopilot through smart integrations with the tools you’re already using. North One was built to make managing money easy so you can focus on running your business. No more branches. No more lines. No more paperwork. Get complete access to your North One Account from your phone or computer, wherever your business takes you. Create Envelopes for taxes, payroll, rent, and anything else automatically.
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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. -
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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 unknown. This database tries to solve that. It features 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. It, therefore, allows you to obtain a broad overview of sectors, industries, types of investments and much more. The aim of this database is explicitly not to provide up-to-date fundamentals or stock data as those can be obtained with ease (with the help of this database) by using yfinance, FundamentalAnalysis or ThePassiveInvestor. -
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NautilusTrader
A high-performance algorithmic trading platform
NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes. The platform is 'AI-first', designed to develop and deploy algorithmic trading strategies within a highly performant and robust Python native environment. This helps to address the parity challenge of keeping the Python research/backtest environment, consistent with the production live trading environment. NautilusTraders design, architecture and implementation philosophy holds software correctness and safety at the highest level, with the aim of supporting Python native, mission-critical, trading system backtesting and live deployment workloads. -
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Qbot
AI-powered Quantitative Investment Research Platform
Qbot is an open source quantitative research and trading platform that provides a full pipeline from data ingestion and strategy development to backtesting, simulation, and (optionally) live trading. It bundles a lightweight GUI client (built with wxPython) and a modular backend so researchers can iterate on strategies, run batch backtests, and validate ideas in a near-real simulated environment that models latency and slippage. The project places special emphasis on AI-driven strategies — including supervised learning, reinforcement learning and multi-factor models — and offers a “model zoo” and example strategies to help users get started. For evaluation and analysis, Qbot integrates reporting and visualization (tearsheets, metrics) so you can compare performance across runs and inspect trade-level behavior. It supports multiple strategy runtimes and backtesting engines, is organized for extensibility (strategies live in a dedicated folder). -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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QuickFIX is the worlds first Open Source C++ FIX (Financial Information eXchange) engine, helping financial institutions easily integrate with each other. The SVN repository is now locked. Latest code is hosted at github. https://github.com/quickfix/quickfix
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Odoo
Open-source business management software
Odoo 18 is a comprehensive open-source business management software that offers a suite of integrated applications to streamline various organizational processes. Designed for flexibility and scalability, it provides tools for managing functions like sales, inventory, accounting, human resources, and customer relationships. Odoo's modular structure allows businesses to adopt only the features they need while maintaining the option to expand functionality as they grow. The open-source version is community-driven, making it cost-effective and continuously improving through global developer contributions. Its user-friendly interface and robust customization options make it a popular choice for small to medium-sized businesses seeking an adaptable and efficient ERP solution. -
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PyTorch Forecasting
Time series forecasting with PyTorch
PyTorch Forecasting aims to ease state-of-the-art time series forecasting with neural networks for both real-world cases and research alike. The goal is to provide a high-level API with maximum flexibility for professionals and reasonable defaults for beginners. A time series dataset class that abstracts handling variable transformations, missing values, randomized subsampling, multiple history lengths, etc. A base model class that provides basic training of time series models along with logging in tensorboard and generic visualizations such actual vs predictions and dependency plots. Multiple neural network architectures for timeseries forecasting that have been enhanced for real-world deployment and come with in-built interpretation capabilities. The package is built on PyTorch Lightning to allow training on CPUs, single and multiple GPUs out-of-the-box. -
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Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python package. For a development installation (used to develop Zipline itself), create and activate a virtualenv, then run the etc/dev-install script. Please note that Zipline is not a community-led project. Zipline is maintained by the Quantopian engineering team, and we are quite small and often busy. -
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AlphaPy
Python AutoML for Trading Systems and Sports Betting
AlphaPy is a Python-based AutoML framework tailored for trading systems and sports betting applications. Built on popular libraries like scikit-learn and pandas, it enables data scientists and speculators to craft predictive models, ensemble strategies, and automated forecasting systems with minimal setup. Run machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost. Generate blended or stacked ensembles. Create models for analyzing the markets with MarketFlow. Develop trading systems and analyze portfolios using MarketFlow and Quantopian's pyfolio. -
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NeuralProphet
A simple forecasting package
NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in doubt. We are working on an improved documentation. We appreciate any help to improve and update the docs. Lagged regressors (measured features, e.g temperature sensor). Future regressors (in advance known features, e.g. temperature forecast). Country holidays & recurring special events. Sparsity of coefficients through regularization. Plotting for forecast components, model coefficients as well as final predictions. Automatic selection of training-related hyperparameters. -
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PyBroker
Algorithmic Trading in Python with Machine Learning
Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance. -
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ThetaGang
ThetaGang is an IBKR bot for collecting money
ThetaGang is an IBKR trading bot for collecting premiums by selling options using "The Wheel" strategy. The Wheel is a strategy that surfaced on Reddit but has been used by many in the past. This bot implements a slightly modified version of The Wheel, with my own personal tweaks. The strategy, as implemented here, does a few things differently from the one described in the post above. For one, it's intended to be used to augment a typical index-fund-based portfolio with specific asset allocations. For example, you might want to use a 60/40 portfolio with SPY (S&P500 fund) and TLT (20-year treasury fund). This strategy reduces risk, but may also limit gains from big market swings. By reducing risk, one can increase leverage. ThetaGang will try to acquire your desired allocation of each stock or ETF according to the weights you specify in the config. To acquire the positions, the script will write puts when conditions are met. -
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Financial Calculator (Linux)
Professional financial tools: 16 sections with text and visual reports
Take control of your finances with Financial Calculator 7.5, a professional yet easy-to-use desktop tool built for precise, everyday financial calculations. From planning loans and estimating taxes to generating invoices and creating QR codes, this all-in-one software offers 16 specialized sections that make your daily financial and business tasks faster, clearer, and more accurate. Whether you’re a student, small business owner, or finance professional, Financial Calculator brings professional-grade precision to your desktop — no installation required. Perform calculations for Bank, Barcode, Building, Buy & Sell, Commodity, Dividing Money, Inflation, Interest, Internet Usage, Invoice, Loan, Password, Phone, QR Code, Stock Market, and Tax. Unlock the full version with a small cryptocurrency payment (as low as $0.01). -
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FinGPT
Open-Source Financial Large Language Models!
FinGPT is an open-source large language model tailored specifically for financial tasks. Developed by AI4Finance Foundation, it is designed to assist with various financial applications, such as forecasting, financial sentiment analysis, and portfolio management. FinGPT has been trained on a diverse range of financial datasets, making it a powerful tool for finance professionals looking to leverage AI for data-driven decision-making. The model is freely available on platforms like Hugging Face, allowing for easy access and customization. FinGPT's capabilities are extended by its ability to integrate with existing financial systems and enhance predictive analytics in finance. -
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Financial Calculator
Professional financial tools: 16 sections with text and visual reports
Take control of your finances with Financial Calculator 7.5, a professional yet easy-to-use desktop tool built for precise, everyday financial calculations. From planning loans and estimating taxes to generating invoices and creating QR codes, this all-in-one software offers 16 specialized sections that make your daily financial and business tasks faster, clearer, and more accurate. Whether you’re a student, small business owner, or finance professional, Financial Calculator brings professional-grade precision to your desktop — no installation required. Perform calculations for Bank, Barcode, Building, Buy & Sell, Commodity, Dividing Money, Inflation, Interest, Internet Usage, Invoice, Loan, Password, Phone, QR Code, Stock Market, and Tax. Unlock the full version with a small cryptocurrency payment (as low as $0.01). -
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Trading system written in Python including Quotes Management, Historical and live data, Import/Export data, Charting, Candlestick, Technical analysis, automated alerts, portfolio management, risk management, currency exchange, and much much more ...
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A quantitative finance C++ library for modeling, pricing, trading, and risk management in real-life. A cross-platform free/open-source tool for derivatives and financial engineering.
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Financial Calculator
Professional financial tools: 16 sections with text and visual reports
Take control of your finances with Financial Calculator 7.5, a professional yet easy-to-use desktop tool built for precise, everyday financial calculations. From planning loans and estimating taxes to generating invoices and creating QR codes, this all-in-one software offers 16 specialized sections that make your daily financial and business tasks faster, clearer, and more accurate. Whether you’re a student, small business owner, or finance professional, Financial Calculator brings professional-grade precision to your desktop — no installation required. Perform calculations for Bank, Barcode, Building, Buy & Sell, Commodity, Dividing Money, Inflation, Interest, Internet Usage, Invoice, Loan, Password, Phone, QR Code, Stock Market, and Tax. Unlock the full version with a small cryptocurrency payment (as low as $0.01). -
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CC2
Cyclos 3.7 port with improved UI and additional reporting app
CC2 is a customised, repackaged version of Cyclos 3.7 which is designed to * Allow small communities to get up and running quickly with the world’s leading alternative currency software * Improve the look and feel of Cyclos and make it more intuitive for users * Add additional reporting functionality (x and z reporting, automated invoicing) for business users **Please see the Release Note** on the Wiki Tab for background of this project and non-technical aspects of setting up Commnuity Currencies using CC2 If you have difficulties setting up the CC2 project, you may like to consider Cyclos4 communities - A free online version of Cyclos 4 which requires no technical knowledge or hosting to get up and running. Register here: https://communities.cyclos.org/register/app/form
