Search Results for "performance"
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Showing 57 open source projects for "performance"
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Portfolio Performance
Track and evaluate the performance of your investment portfolio
Portfolio Performance: Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets. Performance indicators like that True-Time Weighted Rate of Return or the internal rate of return ( Internal rate of return ) are calculated. Historical courses are automatically run by Yahoo Finance loaded or can be extracted from any HTML pages. -
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Qbot
AI-powered Quantitative Investment Research Platform
...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). -
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QuantDinger
AI-driven, local-first quantitative trading platform for research
...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. -
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Barter
Open-source Rust framework for building event-driven systems
Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data structures. ... -
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Wealthfolio
A Beautiful Private and Secure Desktop Investment Tracking Application
...Gather all your investment and savings accounts in one place. See everything at a glance, from stocks to savings! Import your statements from your broker or bank. Track your accounts' holdings and performance over time. See how a particular account is performing, and how it's changing over time. -
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Meteroid
Open-source pricing and billing infrastructure
...API calls, storage usage, seats, feature usage), define custom pricing rules or plans, and Meteroid calculates charges, generates invoices, tracks usage, and supports cost limits or quotas. The system is written in Rust, emphasizing performance, reliability, and safety, making it suitable for production use in small startups up to large enterprises. Meteroid handles complexities like plan versioning, usage-based billing, re-invoicing, grandfathering of plans, experiments, and cost limiting — giving teams a robust billing backend without building one from scratch. -
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Firefly III
Firefly III: a personal finances manager
...The system supports budgeting schedules, repeating transactions, automatic categorization rules, and reporting dashboards to analyze trends over time. For investments, it tracks price history, performance, and holdings, allowing users to see their net worth across accounts and assets. Because of its foundation on solid accounting principles, it supports transfers, splits, credits, and sign conventions accurately. It can be self-hosted, allowing users full control over their financial data, with modular architecture and RESTful APIs so other tools or mobile apps can integrate. -
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PyBroker
Algorithmic Trading in Python with Machine Learning
...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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Swap
Currency exchange rates library
...One of its key strengths is its ability to define fallback providers, ensuring reliability even if a primary data source fails. Swap also includes optional caching mechanisms to reduce API calls and improve performance in production environments. It integrates seamlessly with frameworks like Symfony and Laravel, making it easy to incorporate into existing PHP applications. -
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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. -
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FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
...It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. Built with modularity in mind, FinRobot allows users to plug in custom models — from classical algorithms to deep learning architectures — and orchestrate components in pipelines that can run reproducibly across experiments. The framework also tends to include automation layers for deployment, enabling trained models to operate in live or simulated environments with scheduled re-training and risk controls in place. -
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ImportExcel
PowerShell module to import/export Excel spreadsheets, without Excel
...Advanced features include adding and formatting tables, setting number/date formats, creating charts, and applying styling or conditional formatting programmatically. The module is optimized for performance (streaming where possible) and supports large datasets, making it useful for ETL tasks, automated reporting, and data analysis in pure PowerShell environments. It integrates well with scheduled jobs and CI pipelines where generating or consuming spreadsheets is part of an automated workflow. -
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FinMind
Open Data, more than 50 financial data
...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. -
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Flowsurface
A native desktop charting platform for crypto markets
Flowsurface is a powerful open-source desktop charting platform tailored for crypto markets, built primarily in Rust with a focus on real-time data visualization and market microstructure analysis. Instead of traditional price charts alone, Flowsurface emphasizes order flow and liquidity visualization through advanced chart types like historical DOM heatmaps, footprint charts, and depth ladder displays. This enables traders and analysts to understand actual executed trades, liquidity... -
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stylex-jsx
Full CSS support for JSX without compromises
...Runtime size of just 3kb (gzipped, from 12kb). Complete isolation: Selectors, animations, keyframes. Built-in CSS vendor prefixing. Very fast, minimal and efficient transpilation. High-performance runtime-CSS-injection when not server-rendering. Future-proof, equivalent to server-renderable "Shadow CSS". Source maps support. Dynamic styles and themes support. CSS Preprocessing via Plugins. To skip scoping entirely, you can make the global-ness of your styles explicit by adding global. To make a component's visual representation customizable from the outside world there are three options. -
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Optopsy
A nimble options backtesting library for Python
Optopsy is a Python-based, nimble backtesting and statistics library focused on evaluating options trading strategies like calls, puts, straddles, spreads, and more, using pandas-driven analysis. The csv_data() function is a convenience function. Under the hood it uses Panda's read_csv() function to do the import. There are other parameters that can help with loading the csv data, consult the code/future documentation to see how to use them. Optopsy is a small simple library that offloads... -
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Apache OpenOffice
The free and Open Source productivity suite
Free alternative for Office productivity tools: Apache OpenOffice - formerly known as OpenOffice.org - is an open-source office productivity software suite containing word processor, spreadsheet, presentation, graphics, formula editor, and database management applications. OpenOffice is available in many languages, works on all common computers, stores data in ODF - the international open standard format - and is able to read and write files in other formats, included the format used by the... -
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Kalshi-Quant-TeleBot
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade automated trading system designed for the Kalshi event-based prediction market. Built with cutting-edge quantitative algorithms and professional risk management, it provides institutional-quality trading capabilities with user-friendly control The Kalshi Advanced Quantitative Trading Bot is a professional-grade automated trading system designed specifically for event-based markets on the Kalshi platform. This bot leverages... -
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ManagerSheet
A one-page investment portfolio report
ManagerSheet is a one-page investment portfolio report, that analyses and presents an investment portfolio with respect to: - Performance - Investment style - Risk More information on the report concept and instructions on how to create one's own portfolio reports can be found at the ManagerSheet Web Site under the "Documentation" section. Please note that the project is in alpha stage. -
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Actual Budget
Local-first personal finance app for budgeting, tracking accounts,
...Actual is built around a local-first architecture, meaning your budget data lives on your device, while synchronization can be used to keep changes consistent across devices. The project is fully open source and available under the MIT license. Actual combines strong performance with a clean budgeting workflow and is especially well known for its support of envelope budgeting. It is designed for users who want a practical and transparent personal finance tool that remains private, flexible, and self-directed. Optional end-to-end encryption and multi-device sync help users keep control over both access and portability. -
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Cryptofolio is an open-source, and self-hosted solution for tracking your cryptocurrency holdings. It features a web interface, an Android mobile app, and a cross-platform desktop application for Windows, macOS, and Linux. These three platforms all work using a RESTful API, which you'd have to host yourself. It can provide you with a quick glance at the market, while also keeping track of your assets and their value. It also includes a feature that allows you to share your portfolio in a...
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Open Crypto Tracker
Bitcoin Alts portfolio tracker, email / text / alexa / telegram alerts
100% FREE / open source / PRIVATE cryptocurrency portfolio tracker. Email / text / alexa / telegram price alerts, price charts, mining calcs, leverage / gain / loss / balance stats, news feeds +more. Privately track Bitcoin / Ethereum / unlimited cryptocurrencies. Customize as many assets / markets / alerts / charts as you want. Over 50 Exchanges / 40 Trading Pairs Supported (exchanges / pairings list at bottom of README.txt): https://tinyurl.com/ct-readme Nearly Unlimited Assets... -
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RAPID Graphing Software for Technical Analysis of Stocks and Commodities
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AnyTrading
The most simple, flexible, and comprehensive OpenAI Gym trading
gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex. -
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Accounting Software Community Edition
The Free & Popular Akaunting Web Software in Complete Virtual Machine
This VM is created for 2 reasons: 1. Very little initial setup work required to make an Accounting Software live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with ac wherever mentioned ) After starting this VM, please login to its administration panel with: Website Address: https://ac.local/ ( Accept Any...
