OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING

👉🏻 This project was a part of my Data Science Internship at Technocolabs Softwares.

Try The Web Application!

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🚀 Getting Started

1. Clone the Repository

git clone https://github.com/Hmati/OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING.git
cd OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING

2. Install Dependencies

It’s recommended to use a virtual environment.

pip install -r requirements.txt

3. Add Dataset

Place the dataset inside a data/ folder in the project:

OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING/
│
├── data/
│   └── all_stocks_5yr.csv
├── README.md
├── your_code.py

Or update your script like this:

import pandas as pd
df = pd.read_csv("data/all_stocks_5yr.csv")
print("Done")

4. Run Example

python your_script.py

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🤝 Contributing

We welcome contributions! To contribute:

1. Fork the repository on GitHub.

2. Clone your fork:

   git clone https://github.com/your-username/OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING.git

3. Create a branch for your changes:

   git checkout -b feature/my-improvement

4. Make changes (e.g., update code, fix bugs, or improve docs).

5. Commit your changes:

   git add .
   git commit -m "docs: improve README setup instructions"

6. Push your branch:

   git push origin feature/my-improvement

7. Open a Pull Request on GitHub. 🎉

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📂 Project Resources

• Data Science Internship Project Work

  • Dataset
  • Blueprint
  • Exploratory Data Analysis
  • Stock Price Prediction Model
  • Project Report
  • Project Demo
  • Web Application

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🏛️ Technocolabs Softwares - Data Science Internship

• Kaggle: EDA | Model | Dataset
• LinkedIn Posts: Certificate of Internship | Project Completion Letter | Letter of Recommendation
• ResearchGate

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WEB APPLICATION - https://stock-trading-with-rl.herokuapp.com

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👉🏻 Presented as a part of the Internship @ Technocolabs Softwares 👈🏻

✌🏻 Back To Repository ✌🏻

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