spb/vquant Public MIT

1# =============================================================================2#  VibeQuant (vquant) — AI-Powered Financial Intelligence Platform3# -----------------------------------------------------------------------------4#  File:      requirements.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 SCIENTIFIC COMPUTING ====================16numpy>=2.0.017pandas>=2.0.018scipy>=1.10.01920# ==================== VISUALIZATION ====================21matplotlib>=3.8.022seaborn>=0.13.023plotly>=5.18.024bokeh>=3.3.02526# ==================== FINANCIAL DATA & APIs ====================27yfinance>=0.2.3528pandas-datareader>=0.10.029requests>=2.31.030beautifulsoup4>=4.12.031lxml>=5.0.03233# ==================== FINANCIAL ANALYSIS ====================34# Volatility modeling35arch>=7.0.036# Technical indicators37ta>=0.11.038ta-lib>=0.4.0  # Note: Might need system dependencies39# Financial metrics40pyfolio>=0.9.241empyrical>=0.5.542quantstats>=0.0.624344# ==================== STATISTICS & ECONOMETRICS ====================45statsmodels>=0.14.046scikit-learn>=1.4.047pmdarima>=2.0.4  # ARIMA models4849# ==================== MACHINE LEARNING ====================50scikit-learn>=1.4.051xgboost>=2.0.352lightgbm>=4.3.053catboost>=1.2.25455# ==================== OPTIMIZATION ====================56cvxpy>=1.4.0  # Convex optimization (for portfolio optimization)57pulp>=2.8.0  # Linear programming5859# ==================== TIME SERIES ====================60prophet>=1.1.5  # Facebook Prophet for forecasting61statsforecast>=1.6.06263# ==================== BACKTESTING ====================64backtrader>=1.9.7865vectorbt>=0.26.066bt>=0.2.96768# ==================== RISK ANALYSIS ====================69riskfolio-lib>=5.0.0  # Portfolio optimization & risk70pyportfolioopt>=1.5.57172# ==================== UTILITIES ====================73openpyxl>=3.1.2  # Excel files74python-docx>=1.1.0  # Word documents75xlrd>=2.0.1  # Excel files (older format)76python-dateutil>=2.8.277pytz>=2024.17879# ==================== ADVANCED ANALYTICS ====================80networkx>=3.2  # Graph analysis81sympy>=1.12  # Symbolic mathematics82numba>=0.59.0  # JIT compilation for speed8384# ==================== DATA PROCESSING ====================85polars>=0.20.0  # Fast DataFrame library86dask>=2024.1.0  # Parallel computing87