https://github.com/coderixc/tradingstratgey

Volume based Trading Strategy with Crossover of SMA and Current Candle
https://github.com/coderixc/tradingstratgey

finance option-strategies python python-finance python-for-finance python-trading quant-developer stock-market trading

Last synced: 5 months ago
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Volume based Trading Strategy with Crossover of SMA and Current Candle

• Host: GitHub
• URL: https://github.com/coderixc/tradingstratgey
• Owner: Coderixc
• Created: 2025-01-22T15:44:39.000Z (11 months ago)
• Default Branch: master
• Last Pushed: 2025-01-23T16:15:32.000Z (11 months ago)
• Last Synced: 2025-03-20T02:37:03.099Z (9 months ago)
• Topics: finance, option-strategies, python, python-finance, python-for-finance, python-trading, quant-developer, stock-market, trading
• Language: Python
• Homepage:
• Size: 315 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Stock Volume Strategy

This project calculates the timestamp when the cumulative traded volume within a rolling 60-minute window first exceeds the stock's 30-day average volume. It processes intraday data and compares it with daily stock trading data.

![img.png](img.png)

## Folder Structure

- `data/`: Contains the data files (`day_data.csv`, `intraday_19_april_2024.csv`, `intraday_22_april_2024.csv`).

- `src/`: Contains the Python code (`stock_volume_strategy.py`).

- `requirements.txt`: Lists the Python dependencies (e.g., pandas).

- `main.py`: Entry point for executing the strategy.

## Requirements

- Python 3.x

- pandas

## How to Run

## 1. Install dependencies:

    ```

    pip install -r requirements.txt

    ```

## 2. Run the program:

    ```

    python main.py

    ```

   

## 3.Analysis

      

   ## "Hourly Time Frame"

   ![img_1.png](img_1.png)

      

   ## "Minutes Time Frame"

   ![img_2.png](img_2.png)

   

## 4. Output

![img_3.png](img_3.png)