A high-performance Python-based automation script designed to interface with brokerage APIs for executing real-time stock buy orders based on custom algorithmic triggers.

This repository contains solutions to coding challenges from websites like Hackerrank, Coderbyte, etc.

🦀 Genetic algorithms evolve trading strategies from 484 factors. A-shares, US stocks, Crypto. 5500+ tests.

Basic Ruby Projects - Odin Project

Stock & Crypto Prediction App (Poly-Investr)

Caesar Cipher, Stock Picker, Substrings and Bubble Sort

For designing and backtesting stock investment strategies

A python GUI application to pick a random stock based on given exchange and sector.

A 2026 financial analysis utility designed for real-time market monitoring and portfolio optimization. It features automated stock screening, technical indicator alerts (RSI, MACD), and risk-assessment modules. The helper includes API integration for live price tracking and data-driven suggestions for diverse trading strategies.

A high-performance Python-based automation script designed to interface with brokerage APIs for executing real-time stock buy orders based on custom algorithmic triggers.

Python toolkit for S&P 500 stock ranking and allocation across conservative/moderate/aggressive styles, with weekly universe caching, portfolio beta analytics, and benchmarked backtests (CAGR, Sharpe, drawdown, alpha/beta, turnover).

Agentic stock picker: multi-agent AI analyzes fundamentals & technicals, researches tickers, and outputs a watchlist & report.

Ruby programming problems for The Odin Project

Best day to buy and best day to sell

股票量化分析及在线选股

Discover trading strategies using genetic algorithms that evolve automatically to improve financial decision-making.