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https://github.com/ojasskapre/yahoo-finance-llm-agent
The Yahoo Finance Agent is an application that combines OpenAI's LLMs, the Yahoo Finance Python library, and LangChain's tools to provide real-time financial data. It features stock information, financial statements, and an interactive chat interface, all while maintaining conversation context and integrating with Langsmith for debugging
https://github.com/ojasskapre/yahoo-finance-llm-agent
langchain langsmith openai openai-fu python streamlit yfinance-library
Last synced: 2 months ago
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The Yahoo Finance Agent is an application that combines OpenAI's LLMs, the Yahoo Finance Python library, and LangChain's tools to provide real-time financial data. It features stock information, financial statements, and an interactive chat interface, all while maintaining conversation context and integrating with Langsmith for debugging
- Host: GitHub
- URL: https://github.com/ojasskapre/yahoo-finance-llm-agent
- Owner: ojasskapre
- Created: 2024-08-09T03:03:44.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-08-10T03:12:25.000Z (6 months ago)
- Last Synced: 2024-10-19T16:10:01.602Z (4 months ago)
- Topics: langchain, langsmith, openai, openai-fu, python, streamlit, yfinance-library
- Language: HTML
- Homepage:
- Size: 495 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
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README
# Yahoo Finance Agent
This application leverages OpenAI's language models, the Yahoo Finance Python library, and LangChain's agents and tools to provide users with real-time financial data and insights. Whether you're interested in stock prices, company financials, or the latest news, this assistant is here to help.
## Features
- **Stock Information**: Get detailed information about any stock, including historical data and recent news.
- **Financial Statements**: Access income statements, balance sheets, and cash flow statements, both annual and quarterly.
- **Options Data**: Explore available options expiration dates and detailed options chains.
- **Holders and Recommendations**: View information about major holders, insider transactions, and analyst recommendations.
- **Interactive Chat Interface**: Engage with the assistant through a user-friendly chat interface built with Streamlit.
- **LangChain Integration**: Utilizes LangChain's agents and tools for efficient task management and interaction with various data sources.
- **Conversation Buffer Memory**: Maintains the context of the conversation by passing chat message history to the model, ensuring more coherent and context-aware responses over the course of the interaction.
- **Powered by OpenAI**: Leverages OpenAI's language model to generate responses and provide insights based on user queries.
- **Langsmith**: Integrated with Langsmith to easily debug, analyze and visualize the agent's conversation flow and model outputs.
- **Model Selection**: Flexibly choose from different OpenAI models (e.g., gpt-4o, gpt-4o-mini, gpt-3.5-turbo-0125) directly from the sidebar to customize the performance and capabilities of the assistant based on your needs.
## Installation
1. Clone the Repository
```bash
git clone [email protected]:ojasskapre/yahoo-finance-llm-agent.git
cd yahoo-finance-llm-agent
```
2. Install Dependencies
```bash
pip install -r requirements.txt
```
3. Copy the `.env.sample` file to `.env` and add the OpenAI API key. To enable tracing using Langsmith, add Langchain API Key and Project name as well.
```bash
OPENAI_API_KEY=
LANGCHAIN_TRACING_V2=true
LANGCHAIN_ENDPOINT="https://api.smith.langchain.com"
LANGCHAIN_API_KEY=""
LANGCHAIN_PROJECT=""
```
4. To start the Streamlit app, run the following command:
```bash
streamlit run app.py
```
## Resources
- [Streamlit Agent Tools UI with Langchain](https://python.langchain.com/v0.2/docs/integrations/callbacks/streamlit/)
- [Streamlit Chat Message History UI with Langchain](https://python.langchain.com/v0.2/docs/integrations/memory/streamlit_chat_message_history/)
- [Streamlit Agent UI examples GitHub repository](https://github.com/langchain-ai/streamlit-agent)
- [Functions, Tools and Agents in Langchain](https://learn.deeplearning.ai/courses/functions-tools-agents-langchain)