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Value Investment Academy

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Value Investment Academy

An AI-powered Python tool for value investors with stock screening, automated valuation, and financial anomaly detection for US and Singapore markets.

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Value Investment Academy
About This Project

What This Software Does

Value Investment Academy is an AI-powered stock analysis platform designed for value investors who want to make data-driven investment decisions. The platform combines fundamental analysis with advanced anomaly detection to identify high-quality investment opportunities while avoiding potential financial risks.
The system uses a multi-agent AI architecture powered by the OpenAI Agents SDK, featuring specialized agents for screening, anomaly detection, and research. Each agent has specific tools and responsibilities, working together through intelligent handoffs to provide comprehensive investment analysis. The platform integrates real-time data from Tavily, NewsAPI, and Twelve Data to ensure analysis is based on the latest market information.
Investors can use the web-based interface or command-line tools to screen stocks based on 10 fundamental criteria, perform automated EPV-based valuations, and detect financial anomalies using M-Score, Z-Score, F-Score, and Sloan Ratio metrics. The platform generates comprehensive reports in multiple formats and includes pre-installed agent skills for extended analysis capabilities.

Value Investment Academy
CAPABILITIES

Key Features

Powerful features that make this solution stand out

Stock Screener

Filter stocks based on 10 fundamental criteria including gross margin, net margin, ROA, ROE, revenue growth, EPS growth, debt-to-equity ratio, free cash flow margin, and ROIC/ROTE spreads to identify quality companies.

Automated Valuation

Calculate Earnings Power Value (EPV) and compare it to market cap to identify undervalued stocks with 30%+ margin of safety, fair value opportunities, and overvalued securities.

Anomaly Detection

Detect earnings manipulation (M-Score), bankruptcy risk (Z-Score), financial strength (F-Score), accrual quality (Sloan Ratio), one-off events, and cash flow mismatches to avoid troubled companies.

Multi-Agent AI System

Leverage specialized AI agents (Coordinator, Screening Agent, Anomaly Agent, Research Agent) that work together through intelligent handoffs to provide comprehensive investment analysis.

Real-Time Data Integration

Access latest company news via Tavily web search, financial headlines through NewsAPI, and real-time stock prices with historical data from Twelve Data for up-to-date analysis.

Full Analysis Workflow

Follow a step-by-step guided process to upload data files, set screening criteria, select companies for deep analysis, and generate comprehensive reports in Markdown, Word, or CSV formats.

Value Investment Academy - Features 1
Value Investment Academy - Features 2
TECH STACK

Built With Modern Technologies

Python Streamlit OpenAI Pandas Tavily NewsAPI Twelve Data
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GitHub Repository

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