{"repo":"louisbrulenaudet/pizzly","free":true,"listed":false,"github":"https://github.com/louisbrulenaudet/pizzly","clone":"git clone https://github.com/louisbrulenaudet/pizzly.git","description":"Pizzly, financial market analysis combining technical indicators with LLMs, featuring real-time data processing and AI-powered market insights ⚡️","language":"Python","stars":15,"topics":["agent","agentic-ai","ai","alpaca","alpaca-trading-api","artificial-intelligence","duckduckgo","finance","financial-analysis","huggingface"],"license":"Apache-2.0","category":"trading","readme_excerpt":"Pizzly, financial market analysis combining technical indicators with LLMs, featuring real-time data processing and AI-powered market insights ⚡️ This agentic market analysis system is a Python-based framework that combines technical analysis with artificial intelligence to provide comprehensive market insights. At its core, the system implements a modular architecture that seamlessly integrates statistical analysis methods with natural language processing capabilities. The system's foundation is built upon two primary technical indicators: the Relative Strength Index (RSI) and Bollinger Bands. The RSI implementation provides momentum analysis through a configurable calculation window (default: 14 periods), employing dynamic gain/loss computation and rolling averages to measure the velocity and magnitude of price movements. This is complemented by a Bollinger Bands implementation that utilizes Simple Moving Averages (SMA) and dynamic standard deviation calculations to create adaptive volatility bands that automatically adjust to market conditions. Market data acquisition is handled through an integration with the Alpaca API, providing access to historical price data across various timeframes. The system employs Polars for high-performance data manipulation, leveraging its columnar storage format and lazy evaluation capabilities to efficiently process large datasets. The AI integration layer bridges technical analysis with natural language processing using the Qwen2.5-72B-Inst","default_branch":null,"files":null,"tree":[],"storefront":"/r/louisbrulenaudet","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/louisbrulenaudet/pizzly/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}