Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
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- algorithmic-trading-engine
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Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Beancount: Double-Entry Accounting from Text Files.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Fava - web interface for Beancount
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
A gem that calculates the exchange rate using published rates from European Central Bank. Compatible with the money gem
Flare is a lightweight, developer-friendly Swift framework that simplifies working with in-app purchases. It provides a clean, unified API over StoreKit and StoreKit 2, includes async/await-ready workflows, and offers built-in UI components for a seamless integration experience.
Parameter Optimization for Lean Algorithms
MatchFlow is a full-stack invoice processing and purchase-order matching system—built on Clean Architecture with a React+Nginx front-end, a .NET 6 API back-end, Azure Form Recognizer OCR, Azure Blob Storage, and Docker Compose for one-command local setup.
Bitcoin dashboard with real-time price data, TradingView chart, order book, market analysis, Twitter/X insights, and halving countdown. Clean, ad-free, responsive design.