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PRISM-INSIGHT Logo

License Python OpenAI Anthropic ChatGPT Plus

PRISM-INSIGHT

GitHub Sponsors Stars

AI-Powered Stock Market Analysis & Trading System

13+ specialized AI agents collaborate to detect surge stocks, generate analyst-grade reports, and execute trades automatically.

English | 한국어 | 日本語 | 中文 | Español


Platinum Sponsor

AI3 WrksAI

AI3 | WrksAI

AI3, creator of WrksAI - the AI assistant for professionals,
proudly sponsors PRISM-INSIGHT - the AI assistant for investors.


NEW: ChatGPT Plus/Pro Subscription Support

No API key? No problem. PRISM-INSIGHT now supports running analysis directly through your ChatGPT Plus ($20/mo) or Pro ($200/mo) subscription via the Codex OAuth Proxy.

# One-time login (browser will open for ChatGPT auth)
python -m cores.chatgpt_proxy.oauth_login

# Re-authenticate (switch account, or refresh expired tokens)
python -m cores.chatgpt_proxy.oauth_login --force

# Run with your ChatGPT subscription
PRISM_OPENAI_AUTH_MODE=chatgpt_oauth python stock_analysis_orchestrator.py --mode morning

Tokens auto-refresh in the background, so you only need to log in again if you change ChatGPT accounts or your password.

Zero API bills. Same powerful analysis. Your existing subscription does the work.


Mobile App

Get AI stock analysis on the go

Google Play App Store
  • Smart Filtering — Receive only the Telegram alerts you care about
  • PDF Reports — Mobile-optimized AI analysis reports
  • Launch Promo (until Apr 23, 2026) — Install now and get 20 free credits (normally 10)

Watch PRISM-INSIGHT in Action

PRISM-INSIGHT Demo


Try It Now (No Installation Required)

1. Live Dashboard

See AI trading performance in real-time: analysis.stocksimulation.kr

2. Telegram Channels

Get daily surge stock alerts and AI analysis reports:

3. Sample Report

Watch an AI-generated Apple Inc. analysis report:

Sample Report - Apple Inc. Analysis


Try in 60 Seconds (US Stocks)

The fastest way to try PRISM-INSIGHT. Only requires an OpenAI API key.

# Clone and run the quickstart script
git clone https://github.com/dragon1086/prism-insight.git
cd prism-insight
./quickstart.sh YOUR_OPENAI_API_KEY

This generates an AI analysis report for Apple (AAPL). Try other stocks:

python3 demo.py MSFT              # Microsoft
python3 demo.py NVDA              # NVIDIA
python3 demo.py TSLA --language ko  # Tesla (Korean report)

Get your OpenAI API key from OpenAI Platform

Optional: Add a Perplexity API key to mcp_agent.config.yaml for news analysis

Optional: Add ADANOS_API_KEY to enrich US stock news analysis with structured social sentiment context

Your AI-generated PDF reports will be saved in prism-us/pdf_reports/.

Or use Docker (no Python setup needed)
# 1. Set your OpenAI API key
export OPENAI_API_KEY=sk-your-key-here

# 2. Build and start the local quickstart image
docker compose -f docker-compose.quickstart.yml up --build -d

# 3. Run analysis
docker exec -it prism-quickstart python3 demo.py NVDA

The first run builds the image locally, so it may take several minutes.

Reports will be saved to ./quickstart-output/.


Full Installation

Prerequisites

  • Python 3.10+ or Docker
  • OpenAI API Key (get one here) or ChatGPT Plus/Pro subscription

Option A: Python Installation

# 1. Clone & Install
git clone https://github.com/dragon1086/prism-insight.git
cd prism-insight
pip install -r requirements.txt

# 2. Install Playwright for PDF generation
python3 -m playwright install chromium

# 3. Install perplexity-ask MCP server
cd perplexity-ask && npm install && npm run build && cd ..

# 4. Setup config
cp mcp_agent.config.yaml.example mcp_agent.config.yaml
cp mcp_agent.secrets.yaml.example mcp_agent.secrets.yaml
# Edit mcp_agent.secrets.yaml with your OpenAI API key
# Edit mcp_agent.config.yaml with KRX credentials (Kakao account)

# 5. Run analysis (no Telegram required!)
python stock_analysis_orchestrator.py --mode morning --no-telegram

Option B: Docker (Recommended for Production)

# 1. Clone & Configure
git clone https://github.com/dragon1086/prism-insight.git
cd prism-insight
cp mcp_agent.config.yaml.example mcp_agent.config.yaml
cp mcp_agent.secrets.yaml.example mcp_agent.secrets.yaml
# Edit config files with your API keys

# 2. Build & Run
docker compose up -d

# 3. Run analysis manually (optional)
docker exec prism-insight-container python3 stock_analysis_orchestrator.py --mode morning --no-telegram

Full Setup Guide: docs/SETUP.md


What is PRISM-INSIGHT?

PRISM-INSIGHT is a completely open-source, free AI-powered stock analysis system for Korean (KOSPI/KOSDAQ) and US (NYSE/NASDAQ) markets.

Core Capabilities

  • Surge Stock Detection — Automatic detection of stocks with unusual volume/price movements
  • AI Analysis Reports — Professional analyst-grade reports generated by 13 specialized AI agents
  • Trading Simulation — AI-driven buy/sell decisions with portfolio management
  • Automated Trading — Real execution via Korea Investment & Securities API
  • Telegram Integration — Real-time alerts and multi-language broadcasting
  • Macro Intelligence — Market regime detection, sector rotation analysis, risk event monitoring

AI Models

  • Analysis & Trading: OpenAI GPT-5 / GPT-5.4-mini (via API or ChatGPT Plus subscription)
  • Report Generation: Anthropic Claude Sonnet 4.6
  • Translation: OpenAI GPT-5 (EN, JA, ZH, ES support)

AI Agent System

13+ specialized agents collaborate in teams:

Team Agents Purpose
Macro 1 agent Market regime, sector rotation, risk events
Analysis 6 agents Technical, Financial, Industry, News, Market analysis
Strategy 1 agent Investment strategy synthesis
Communication 3 agents Summary, Quality evaluation, Translation
Trading 3 agents Buy/Sell decisions, Journal
Consultation 2 agents User interaction via Telegram
View Agent Workflow Diagram
Agent Workflow

Detailed Agent Documentation: docs/CLAUDE_AGENTS.md


Key Features

Feature Description
AI Analysis Expert-level stock analysis through GPT-5 multi-agent system
Surge Detection Automatic watchlist via morning/afternoon market trend analysis
Telegram Real-time analysis distribution to channels
Trading Sim AI-driven investment strategy simulation
Auto Trading Execution via Korea Investment & Securities API
Dashboard Transparent portfolio, trades, and performance tracking
Self-Improving Trading journal feedback loop — past trigger win rates automatically inform future buy decisions (details)
US Markets Full support for NYSE/NASDAQ analysis
Macro Intelligence Market regime detection and sector rotation for smarter stock selection
Mobile App iOS & Android app with smart filtering and PDF reports
View Dashboard Screenshots
Portfolio Overview

Trading Simulator

AI Trading Scenario

Trading Performance

KR Market — Season 2

Metric Value
Period 2025.09.30 ~ 2026.03.24
Total Trades 86
Win Rate 45.35%
Avg Return per Trade +2.84%
Cumulative Return +244.63%
Current Holdings 5 stocks

US Market (Beta)

Metric Value
Period 2026.01.28 ~ 2026.03.21
Total Trades 13
Current Holdings 6 stocks

Live Dashboard


US Stock Market Module

Same AI-powered workflow for US markets:

# Run US analysis
python prism-us/us_stock_analysis_orchestrator.py --mode morning --no-telegram

# With English reports
python prism-us/us_stock_analysis_orchestrator.py --mode morning --language en

Data Sources: yahoo-finance-mcp, sec-edgar-mcp (SEC filings, insider trading)


Documentation

Document Description
docs/SETUP.md Complete installation guide
docs/CLAUDE_AGENTS.md AI agent system details
docs/TRIGGER_BATCH_ALGORITHMS.md Surge detection algorithms
docs/TRADING_JOURNAL.md Trading memory system

Frontend Examples

Dashboard

Real-time portfolio tracking and performance dashboard.

Live Demo

cd examples/dashboard
npm install
npm run dev
# Visit http://localhost:3000

Features: Portfolio overview, trading history, performance metrics, market selector (KR/US), return comparison vs KOSPI/KOSDAQ

Dashboard Setup Guide: examples/dashboard/DASHBOARD_README.md


MCP Servers

Korean Market

US Market


Contributing

  1. Fork the project
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Create a Pull Request

License

Dual Licensed:

For Individual & Open-Source Use

License: AGPL v3

Free under AGPL-3.0 for personal use, non-commercial projects, and open-source development.

For Commercial SaaS Use

Separate commercial license required for SaaS companies.

Contact: dragon1086@naver.com Details: LICENSE-COMMERCIAL.md


Disclaimer

Analysis information is for reference only, not investment advice. All investment decisions and resulting profits/losses are the investor's responsibility.


Sponsorship

Support the Project

Monthly operating costs (~$310/month):

  • OpenAI API: ~$235/month
  • Anthropic API: ~$11/month
  • Firecrawl + Perplexity: ~$35/month
  • Server infrastructure: ~$30/month

Currently serving 450+ users for free.


Project Growth

Star History Chart


If this project helped you, please give us a Star!

Contact: GitHub Issues | Telegram | Discussions

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