---
license: apache-2.0
---

This script is a command-line tool designed to predict a trading signal of the next day for a stock. 
You run it from your terminal or command prompt, not from within a Python IDE's run button without configuration.



## Disclaimer: This is for informational purposes only and does not constitute investment advice
The script is generated by Qwen-Max, Gemini Pro 2.5, and Grok4 Fast and test locally

## Step 1: Install Prerequisites
First, you need to install Python and all the necessary libraries. The most complex one is TA-Lib, which requires a separate installation before the Python wrapper.

Install the TA-Lib C Library: This is the underlying engine for the talib Python package.

Windows: Download the appropriate .whl file from Unofficial Windows Binaries for Python Extension Packages and install it using pip.

macOS: Use Homebrew: brew install ta-lib

Linux (Ubuntu/Debian): sudo apt-get install libta-lib-dev

Install Python Libraries: Once the C library is installed, you can install the required Python packages using pip.

Bash
```
pip install yfinance pandas numpy xgboost scikit-learn TA-Lib requests
```

## Step 2: Save the Script
Save the code you provided into a file. Let's name it signal_generator.py. Make sure you save it in a directory you can easily access from your terminal.

## Step 3: Run from the Command Line
Open your terminal (on macOS/Linux) or Command Prompt/PowerShell (on Windows) and navigate to the directory where you saved the file.

The basic command structure is:
python signal_generator.py [TICKERS] [OPTIONS]

Arguments Explained:
tickers (Required): The list of stock ticker symbols you want to analyze, separated by spaces. The first ticker is the default target unless specified otherwise.

--target (Optional): Specifies which ticker from the list to generate the signal for.

--period (Optional): The amount of historical data to download. The default is 2y (2 years). Other valid options include 1y, 6mo, 3mo, 1d, etc.

## Examples
Here are a few examples of how to run the script:


### Example 1: Basic Signal for a Single Stock


This will generate a signal for Apple (AAPL), using the default 2-year period.

Bash
```
python signal_generator.py AAPL
```
### Example 2: Signal for a Target Stock with Market Context
This command downloads data for SPY, QQQ, and NVDA but specifically generates the trading signal for NVDA.

Bash
```
python signal_generator.py SPY QQQ NVDA --target=NVDA
```

### Example 3: Including Market Indexes
This command generates a signal for the QQQ ETF and includes the VIX (volatility), TNX (10-year treasury yield), and DXY (dollar index) for a richer market context.

Bash
```
python signal_generator.py QQQ VIX TNX DXY
```

### Example 4: Using a Shorter Historical Period
This generates a signal for Microsoft (MSFT) using only the last 6 months of data.

Bash
```
python signal_generator.py MSFT
```

After running any of these commands, the script will print the final signal directly to your terminal.