Search Results for "punch time linux"
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Showing 7 open source projects for "punch time linux"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Reactive Trader
Real-time FX trading showcase by Adaptive
Reactive Trader® is a real-time FX trading platform designed to showcase reactive programming principles across the full application stack. Written in React and RxJs / React-RxJs and running on Hydra, the platform will continue to evolve and use the latest technologies. -
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Wealthfolio
A Beautiful Private and Secure Desktop Investment Tracking Application
Wealthfolio is a simple, desktop-based investment tracker. Your financial data is stored safely on your own computer Ditch the spreadsheets, forget about those pesky subscription fees, and no more worries about SaaS services playing around with your data. Forget juggling spreadsheets or compromising privacy with online apps. Choose Wealthfolio's simple, secure approach to manage your finances. Gather all your investment and savings accounts in one place. See everything at a glance, from... -
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Fincept Terminal
FinceptTerminal is a modern finance application
Fincept Terminal is an open-source financial intelligence platform aimed at bringing powerful market analysis and investment research tools to a broad audience without the prohibitive cost of proprietary terminals. The project provides both command-line and graphical interfaces that let users access real-time market data, economic indicators, and advanced analytics directly from a unified terminal environment, supporting stocks, forex, commodities, and more. Its architecture integrates... -
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TradingGoose Studio
Technical analysis + LLM powered trading workflows
TradingGoose Studio is an open-source AI workflow platform designed to enable advanced financial trading analysis and automation through a visual, modular interface powered by large language models. It combines traditional technical analysis with modern AI-driven decision-making by allowing users to build workflows where multiple specialized agents collaborate to interpret market signals and execute actions. The platform supports end-to-end trading pipelines, starting from ingesting... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Kalshi Trading Bot CLI
AI-native CLI for trading Kalshi prediction markets
Kalshi Trading Bot CLI is an AI-driven command-line tool designed to automate trading strategies on Kalshi prediction markets by combining quantitative modeling with real-time market data. It operates by conducting deep research on events, generating independent probability estimates, and comparing those estimates against current market prices to identify trading opportunities. The system incorporates advanced decision-making logic, including Kelly criterion-based position sizing and a... -
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Actual
A local-first personal finance app
Actual is a local-first personal finance application designed to give users full control over their budgeting and financial data without relying on centralized cloud services. It is built using Node.js and operates with a synchronization layer that allows users to keep their data consistent across multiple devices while still maintaining ownership of their information. The platform emphasizes privacy and offline functionality, meaning users can manage their finances even without an internet... -
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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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