Investing Agent Sdk

Investing Agent SDK

**Multi-agent investment analysis platform** generating institutional-grade equity research reports with automatic quality evaluation.

[](https://github.com/ccrjohn8787/investing-agent-sdk) [](https://www.python.org) [](LICENSE)

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Overview

A sophisticated AI-powered system that generates deep, institutional-quality investment research through multi-agent collaboration, iterative analysis, and automatic PM-grade evaluation.

**Key Capabilities:**

• Institutional-Grade Reports: HTML reports with investment snapshot, valuation scenarios, and PM evaluation
• Automatic Quality Assessment: Every report graded by senior PM evaluator (A+ to F scale)
• Multi-Agent Workflow: 5 specialized AI agents coordinate to produce comprehensive analysis
• DCF Valuation: Deterministic NumPy-based valuations with sensitivity analysis
• Evidence-Based: All claims traced to SEC filings, earnings calls, and market data

**Recent Analysis Grade**: A (90/100) - Institutional quality, PM-ready

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Quick Start

Installation

# Clone repository
git clone https://github.com/ccrjohn8787/investing-agent-sdk.git
cd investing-agent-sdk

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # macOS/Linux
# or: .venv\Scripts\activate  # Windows

# Install with dependencies
pip install -e ".[dev]"

# Configure API keys (if using direct API)
cp .env.example .env
# Edit .env: Add ANTHROPIC_API_KEY and BRAVE_API_KEY

Basic Usage

# Run analysis with CLI
investing-agents analyze NVDA

# With options
investing-agents analyze AAPL --iterations 3 --format html --output aapl_report.html

# View PM evaluation
cat output/analyses/NVDA_*/evaluation/pm_evaluation.md

**Output Files:**

• output/nvda_fresh_analysis.html - Com