readme updates with prompt

README.md

@@ -16,6 +16,7 @@ short_description: 'Stock trading application'
 ## Overview
 Stock Trader is an interactive web application built with Streamlit that allows you to monitor stock market data, execute trades using a paper trading account through Alpaca, analyze market sentiment, and visualize stock performance. The application combines real-time market data, news sentiment analysis, and automated trading capabilities in an easy-to-use interface.
 
+
 ## Features
 - **Real-time Stock Data**: Track current prices and market status
 - **Manual Trading**: Buy and sell stocks with customizable quantities
@@ -24,6 +25,29 @@ Stock Trader is an interactive web application built with Streamlit that allows
 - **Portfolio Visualization**: View your holdings and portfolio value in real-time
 - **Market Insights**: Monitor top volume stocks with interactive charts
 
+## Prompt
+I used a DeepSeek distilled Llama model with the following chat application to build the initial codebase: https://huggingface.co/spaces/Intel/intel-ai-enterprise-inference.
+Here is the prompt I wrote:
+
+```text
+You are an expert Python software engineer and financial technology developer. Generate a fully functional Python stock trading application that uses the `yfinance` and `alpaca` packages to fetch stock data and automatically buys and sells stocks (a day-trader) based on sentiment analysis of news headlines. The app should:
+
+1. Fetch historical stock data for the top 10 stocks, by volume traded.
+2. Fetch the top news headlines for these top 10 stocks and then rate them as “Negative, Neutral, or Positive” from a sentiment analysis model. If negative, sell the stock. If neutral, hold it. If positive, buy the stock. You will have to make sure that we first have a position in the stock before selling it!
+3. Keep track of when the stock trading day is open or closed to make sure that trades are only being executed while the trading day is open.
+4. Continuously check for updated news and stock prices throughout the trading day.
+5. Display key indicators like moving averages and price charts.
+6. In addition to automatically buying and selling stocks based on news sentiment, allow the user to buy or sell stocks manually. 
+7. Maintain a portfolio state (cash balance, current holdings, transaction history).
+8. Log transactions and update the portfolio after each command.
+9. Be modular, clean, and readable. Put all of the code in one block, but split into classes and functions as necessary.
+10. Create a simple web UI for the program. I prefer streamlit.
+11. Include comments, a short README describing how to run the app, and a requirements.txt file for what packages are required.
+12. Use only free frameworks and APIs. Don’t use any paid ones.
+
+
+```
+
 ## Installation
 
 ### Prerequisites
@@ -38,24 +62,24 @@ Stock Trader is an interactive web application built with Streamlit that allows
 1. Clone the repository
 
 ```sh
-git clone https://github.com/opea-project/Enterprise-Inference/
-cd examples/stocktrader
+git clone https://huggingface.co/spaces/Intel/stocktrader
+cd stocktrader
 ```
 
 2. Initialize the virtual environment
-   ```bash
-   uv init
-   ```
+```bash
+uv init
+```
 
 3. Install dependencies
-   ```bash
-   uv add -r requirements.txt
-   ```
+```bash
+uv add -r requirements.txt
+```
 
 4. Activate the virtual environment
-   ```bash
-   source .venv/bin/activate
-   ```
+```bash
+source .venv/bin/activate
+```
 
 5. Configure your API keys in `.streamlit/secrets.toml`. For this application, you will need: 
 - **Alpaca Trading API**: Sign up at [Alpaca](https://alpaca.markets/) to get your API key and secret key. This app uses paper trading, so make sure to get paper trading credentials.
@@ -73,10 +97,12 @@ NEWS_API_KEY = "your_news_api_key"
 ALPHA_VANTAGE_API_KEY = "your_alpha_vantage_api_key"
 ```
 
+Or you can add your secrets directly to the Hugging Face Space Settings if you are deploying the application on Hugging Face.
+
 6. Launch the application
-   ```bash
-   streamlit run app.py
-   ```
+```bash
+streamlit run app.py
+```
 
 ## Using the Application