ritadel - Under development

Leverage the latest AI, Realtime Financial stats, news, algorithms, reddit posts... to make trading decisions for you.

Nancy Pelosi's highly intelligent plays
avg WSB regard and his posts on the reddit
boomer buffett's boomer logic
And more!
Jim cramar to be added...

Basically created an AI chatroom where boomer buffet and wsb regard work together as a hedge fund.

This is a fork of ai-hedge-fund By viratt

Key Features

Multi-Agent System

Value Investing Team: Warren Buffett, Charlie Munger, Ben Graham
Growth & Innovation: Cathie Wood, Bill Ackman
Alternative Strategies: Nancy Pelosi (policy edge), WSB (momentum/memes)
Technical Specialists: Price action, fundamentals, sentiment analysis
Risk Management: Position sizing, portfolio optimization

Round Table Discussions

Real-time AI conversations between agents
Debate investment theses and challenge assumptions
Reach consensus through structured dialogue
Natural language interactions with personality

Analysis Capabilities

Multi-source financial data integration
Technical and fundamental analysis
Sentiment analysis from news and social media
Cryptocurrency market analysis
Portfolio management and risk assessment

Modern Web Interface

Real-time analysis updates
Interactive charts and visualizations
Backtesting capabilities
Trade history and performance tracking

Installation

Prerequisites

Python 3.9+
Poetry (Python package manager)
Node.js 16+ (for web UI)
At least one LLM API key (OpenAI, Anthropic, Groq, or Gemini)

Quick Start

Clone the repository:

git clone https://github.com/KRSHH/ritadel.git
cd ritadel

Install Poetry if needed:

curl -sSL https://install.python-poetry.org | python3 -

Install dependencies:

poetry install

Set up environment variables:

cp .env.example .env
# Edit .env with your API keys

Start the web interface:

# Terminal 1: Start API server
poetry run python webui.py --api

# Terminal 2: Start web UI
cd webui
npm install
npm run dev

Visit http://localhost:3000 to access the web interface.

Round Table conference output example (CLI) -

Usage

Command Line Interface

# Basic analysis
poetry run python src/main.py --ticker AAPL,MSFT,NVDA

# Round table discussion
poetry run python src/main.py --ticker TSLA --round-table

# Backtest with custom parameters
poetry run python src/backtester.py --ticker BTC-USD,ETH-USD --crypto --initial-cash 100000

Web Interface

Navigate to http://localhost:3000
Select analysis type (single analysis, backtest, or round table)
Enter ticker symbols
Choose AI analysts to include
View real-time analysis and discussions

Configuration

Required API Keys

At least one LLM provider (OpenAI/Anthropic/Groq/Gemini)
Alpha Vantage (free tier available)
Reddit API (for WSB agent)

Optional API Keys

StockData.org (100 free requests/day)
Finnhub
EOD Historical Data
CoinGecko (for crypto)
CryptoCompare (for crypto)

See .env.example for all configuration options.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

Credits