Step by step tutorial for predicting stock price using Machine Learning algos

Single-stock analysis using Python and local machine learning/ AI tools (Ollama, LSTM).

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.

Financial data visualization with Python

Energex is a comprehensive energy derivatives analytics platform that provides data collection, analysis tools, and interactive visualizations for futures trading. Built with Python, it combines efficient data storage using DuckDB with sophisticated analysis capabilities to help traders and analysts make informed decisions.

Quantum Finance + Quantitative Finance

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 

📊 Portfolio Analytics Lab: A professional-grade performance and risk engine for JSE equities. Built with Python & Streamlit.

Volume based Trading Strategy with Crossover of SMA and Current Candle

High-integrity ETL & EDA pipeline for global ad performance. Analyzes ROAS, CPA, and CTR across TikTok, Meta, and Google Ads using Python.

Institutional-quality equity research reports for NSE/BSE stocks. Generate comprehensive Buy/Sell/Hold analysis with zero hallucination using Claude Code. Multi-model valuation, forensic accounting, technical analysis & TAM sizing. MIT License.

Motor de backtest para estrategias de trading algoritmico utilizando python

python-finance

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

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

Time Series Analysis Intro

I created a mock option pricing simulation in which I compared the Classical Monte Carlo and Simulated Quantum Monte Carlo methods

Study for Financial analysis & Machine Learning with Python

Implementation of a Historical Simulation Value at Risk (VaR) framework in Python, including Expected Shortfall, portfolio P&L estimation, backtesting analysis, and Basel Traffic Light classification.