{"repo":"laibulle/quant","free":true,"listed":false,"github":"https://github.com/laibulle/quant","clone":"git clone https://github.com/laibulle/quant.git","description":"Quantitative analysis library for Elixir and Explorer","language":"Elixir","stars":10,"topics":["financial-analysis","explorer","nx","crypto","stock-market"],"license":null,"category":"trading","readme_excerpt":"Quant High-performance standardized financial data API for Elixir with Explorer DataFrames Fetch financial data from multiple providers through a common Explorer-first API. Quant standardizes supported historical, quote and search fields while preserving explicit provider limitations. The feature roadmap and acceptance criteria live in docs/features. ✨ Key Features 🎯 Universal API Design - Standardized Interface : Same parameters work across ALL providers - Identical Schemas : Every DataFrame has exactly 12 columns regardless of provider - Cross-Asset Ready : Stocks, crypto, forex all use unified structure - Provider Agnostic : Switch providers without changing your analysis code 📊 Mathematical Indicators (Python-Validated) Indicator Name Accuracy vs Python Key Features ----------- ------ ------------------- ------------- RSI Relative Strength Index 100% (0.0% diff) Wilder's smoothing method DEMA Double Exponential MA 99.96% (0.04% diff) Enhanced responsiveness HMA Hull Moving Average 100% (0.0% diff) Reduced lag, 4-step algorithm KAMA Kaufman Adaptive MA 100% (0.0% diff) Market condition adaptation TEMA Triple Exponential MA 99.9988% (0.0016 diff) Maximum responsiveness WMA Weighted Moving Average 100% (0.0% diff) Linear weight distribution 🎯 Trading Strategies & Backtesting - Strategy Framework : Modular strategy composition with indicators - Backtesting Engine : Portfolio performance analysis with metrics - Signal Generation : Buy/sell signals from multiple indicators -","default_branch":null,"files":null,"tree":[],"storefront":"/r/laibulle","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/laibulle/quant/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."}