spb/vquant Public MIT

1# =============================================================================2#  VibeQuant (vquant) — AI-Powered Financial Intelligence Platform3# -----------------------------------------------------------------------------4#  File:      requirements-safe.txt5#6#  Author:    Simon-Pierre Boucher7#  Contact:   contact@spboucher.ai8#  Website:   https://www.spboucher.ai9#  Demo:      https://www.vquant.ai10#  License:   MIT (see LICENSE)11#12#  Copyright © 2026 Simon-Pierre Boucher. All rights reserved.13# =============================================================================1415# ==================== CORE LIBRARIES (GUARANTEED) ====================16numpy>=2.0.017pandas>=2.0.018scipy>=1.10.019matplotlib>=3.8.020seaborn>=0.13.021requests>=2.31.02223# ==================== FINANCIAL & STATS ====================24arch>=7.0.0  # GARCH models25statsmodels>=0.14.0  # Time series, econometrics26scikit-learn>=1.4.0  # Machine learning2728# ==================== VISUALIZATION ====================29plotly>=5.18.0  # Interactive plots3031# ==================== FINANCIAL DATA ====================32yfinance>=0.2.35  # Yahoo Finance33beautifulsoup4>=4.12.0  # Web scraping34lxml>=5.0.0  # XML parsing3536# ==================== TECHNICAL ANALYSIS ====================37ta>=0.11.0  # Technical indicators3839# ==================== OPTIMIZATION ====================40cvxpy>=1.4.0  # Convex optimization4142# ==================== UTILITIES ====================43openpyxl>=3.1.2  # Excel files44python-docx>=1.1.0  # Word documents45python-dateutil>=2.8.246pytz>=2024.14748# ==================== ADVANCED COMPUTING ====================49numba>=0.59.0  # JIT compilation50networkx>=3.2  # Graph theory51sympy>=1.12  # Symbolic math5253# ==================== MACHINE LEARNING (if needed) ====================54xgboost>=2.0.355lightgbm>=4.3.056