python-finance

Daily portfolio manager for a solo family office on Trade Republic

Self-hosted, bitemporal (point-in-time-correct) data platform for power markets: EIA-930 (all US balancing authorities) + ERCOT real-time/day-ahead prices and load into a versioned ArcticDB store, Dagster-orchestrated, served point-in-time via a read API.

This repository deals with simple computational examples of a delta- and a delta-gamma hedge of an option on the underlying apple stock. Included are my presentation and a short handout of the covered topics.

财务分析自动化工具包（9-in-1）：偿债+盈利+运营+估值全流程分析，Python实现 

Volume based Trading Strategy with Crossover of SMA and Current Candle

Borsa İstanbul (BIST 100), TEFAS Fonları, Canlı Altın ve Döviz Verileri İçin Resmi Python ve Node.js SDK Kütüphanesi 🚀

A Python-based quantitative finance tool for pricing European options and calculating first and second-order Greeks. Features vectorized NumPy computations and comprehensive risk dashboards for derivatives analysis

Automated Stock Scanner analyzes historical stock data to identify lifetime highs, test support levels, and track price appreciation using Python and Yahoo Finance API. Ideal for traders seeking technical insights. 🚀

Autonomous Tier-1 Equity Research & DCF Financial Modeling Agent. Produces 10-tab institutional Excel models, 16-page PDF initiation reports, and multi-model valuation.

Corporate credit rating model (V2) — multi‑period, rule‑based engine with Altman Z, peer benchmarking, distress optional hardstops, and optional sovereign cap.

🛡️ Defensive Alpha + Risk Parity portfolio engine · 🛰️ AI infrastructure value chain scanner · 🐋 Smart money tracker · Follows 20+ top hedge funds via live SEC filings · Kalman filter · Markov chains · Hurst exponent · 🏛️ Congressional & insider trades · 🚨 Macro alerts · 📧 Daily 7 AM email

A comprehensive, production-grade implementation of quantitative trading strategies across 18 asset classes. Features modular Python architecture, institutional risk management, and deep-dive research papers for every strategy.

Advanced Stock Prediction System using Hybrid Deep Learning (CNN-GRU-Attention) & Ensemble Metas involving N-BEATS and XGBoost. Features a portable self-healing pipeline and interactive Streamlit Dashboard.

Speculative bubble detector for tech stocks using Log-Periodic Power Law modeling and ML-driven crash prediction

Multi-factor portfolio construction engine with signal blending, volatility targeting, and systematic backtesting.

Quantitative portfolio optimization engine using Markowitz Mean-Variance model, Monte Carlo simulation, and Sharpe ratio maximization. Built with Python, scipy, and yfinance.