Vorckea/portfolio-analyzer

Portfolio Analyzer is a modular toolkit for advanced portfolio construction, optimization, and risk analytics. It features Black-Litterman blending, robust statistical estimation, Monte Carlo simulation, and interactive Jupyter workflows for quantitative investment research.

Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

asdasdasdasd231/DCA-Take-Profit-Stop-Loss-Simulator

Size: 0 Bytes - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Tehen1/domain-hunter-dashboard

🚀 Domain Hunter Analytics: Strategic analysis of 50 premium domains with ROI up to 14,489%. Interactive dashboard, automated recommendations, and complete investment strategies. Built with Python, Streamlit, and advanced analytics.

Language: Python - Size: 3.11 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

manasw13/Stock_Price_Forecasting_Investment_Analysis

This repository contains a comprehensive analysis of stock price forecasting and investment strategies using R. It features various statistical models and visualizations to help users understand market trends and make informed decisions. 🐙📊

Size: 1.12 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AllenLeiZhao/Stock_Price_Forecasting_Investment_Analysis

Time series modeling and comparative forecasting of AAPL and HON stock prices using regression, smoothing, and moving averages in R.

Size: 1.12 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

vishukla/agentvest

Multi-agent AI system for actionable stock insights using LLMs (DeepSeek), SEC filings, yFinance, LangSearch, and Ollama.

Language: Python - Size: 141 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

YannickKae/Evaluating-Investment-Strategies

This repository contains a collection of functions to evaluate investment strategies regarding multiple testing concerns.

Language: Python - Size: 353 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 8 - Forks: 0

DivInstance/Case-study-investigation

Conducted a case study to develop an investment strategy for car companies, leveraging technical analysis and machine learning for market insights

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Tolumie/Stock-Market-Clustering-and-Predictive-Analysis_-Uncovering-Investment-Insights

Stock Market Clustering & Predictive Analysis | Leverage PCA & DBSCAN, K-Means, Hierarchical Clustering to uncover investment insights. Identify market segments, high-risk outliers (NVDA, TSLA, NFLX), and portfolio optimization strategies using S&P 500 data.

Language: Jupyter Notebook - Size: 236 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

BobErgot/Quantitative-Investment-Strategies-Platform

Quantitative platform for investment strategies with real-time data integration, supporting flexible portfolio management via UI/GUI

Language: Java - Size: 8.66 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Shelton-beep/trading-algorithm

A simple trading algorithm for SPY ETF using a moving average crossover strategy. This project analyzes SPY weekly price data, implements a buy/sell algorithm, and tracks performance metrics to evaluate profitability and risk. Ideal for learning algorithmic trading basics and financial data analysis.

Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

DanielHuangjiakang/PKU_SMOL_Project

This project uses stochastic approximation algorithms to optimize investment strategies and queueing systems. Techniques include the Simultaneous Perturbation Stochastic Approximation (SPSA) for maximizing the Sharpe ratio and Stochastic Approximation (SA) for minimizing waiting times in a GI/GI/1 queue.

Language: HTML - Size: 9.09 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

alisonands/Case-Study-A-data-driven-investment-analysis

This project looks at the performance of the stock market Tech sector on the Nasdaq index, analyzing the relationship between Operating Cash Flow and Capex, and it’s effect on overall returns.

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

PatrykForys/CryptoChecker-AI-Support

Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 32 - Forks: 0

ScrapeWithYuri/Stock-Earnings-Call-Transcript-Natural-Language-Processing

Natural Language Processing on Stocks' Earnings Call Transcripts: An Investment Strategy Backtest Based on S&P Global Papers.

Language: Python - Size: 477 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 0

anusar80/Strategic-Asset-Allocation

Replication data and code for "Strategic Asset Allocation Revisited" published on Substack: https://policytensor.substack.com/p/strategic-asset-allocation-revisited.

Language: MATLAB - Size: 752 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1