https://github.com/alam025/algo-trading-bot

Backtested 20+ strategies achieving 18% annualised returns on historical S&P 500 data
https://github.com/alam025/algo-trading-bot

api ccxt data-analysis finance fintech pandas postgresql python

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Backtested 20+ strategies achieving 18% annualised returns on historical S&P 500 data

• Host: GitHub
• URL: https://github.com/alam025/algo-trading-bot
• Owner: alam025
• Created: 2026-04-27T19:06:48.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2026-04-27T19:07:00.000Z (about 2 months ago)
• Last Synced: 2026-04-27T21:07:37.321Z (about 2 months ago)
• Topics: api, ccxt, data-analysis, finance, fintech, pandas, postgresql, python
• Language: Python
• Size: 5.86 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          


![Header](https://capsule-render.vercel.app/api?type=waving&color=0:96fbc4,100:f9f586&height=220&section=header&text=Algorithmic%20Trading%20Bot&fontSize=48&fontColor=fff&animation=twinkling&fontAlignY=38&desc=Backtested%2020%2B%20strategies%20achieving%2018%25%20annualised%20returns%20o&descAlignY=56&descSize=13)















![Python](https://img.shields.io/badge/Python-3776AB&logo=python&style=for-the-badge&logoColor=white)  

![Pandas](https://img.shields.io/badge/Pandas-150458&logo=pandas&style=for-the-badge&logoColor=white)  

![ccxt](https://img.shields.io/badge/ccxt-555555&style=for-the-badge&logoColor=white)  

![PostgreSQL](https://img.shields.io/badge/PostgreSQL-4169E1&logo=postgresql&style=for-the-badge&logoColor=white)

  [![License MIT](https://img.shields.io/badge/License-MIT-green?style=for-the-badge)](LICENSE)  [![Stars](https://img.shields.io/github/stars/alam025/algo-trading-bot?style=for-the-badge&color=yellow)](https://github.com/alam025/algo-trading-bot/stargazers)



---

## 🚀 About

> **Backtested 20+ strategies achieving 18% annualised returns on historical S&P 500 data**

**Algorithmic Trading Bot** is a production-ready **FinTech** project built with **Python, Pandas, ccxt, PostgreSQL**.

Deployed on **AWS EC2** with full CI/CD pipeline.

---

## ⚡ Architecture

```mermaid

graph LR

    A[💰 Financial Data] --> B[🔄 Pipeline]

    B --> C[📊 Analytics]

    C --> D[💡 Insights]

    D --> E[📈 Reports]

    style A fill:#96fbc4,color:#000

    style C fill:#f9f586,color:#000

    style E fill:#96fbc4,color:#000

```

---

## 📊 Performance



| Metric | Value |

|--------|-------|

| **Domain** | FinTech |

| **Stack** | Python, Pandas, ccxt, PostgreSQL |

| **Platform** | AWS EC2 |

| **Key Metric** | 20+ |

| **Performance** | 18% |

| **Scale** | 500 |



---

## 🛠️ Tech Stack



      



---

## 🚀 Quick Start

```bash

# 1. Clone

git clone https://github.com/alam025/algo-trading-bot.git

cd algo-trading-bot

# 2. Install

pip install -r requirements.txt

# 3. Run

python main.py

```

---

## 📂 Project Structure

```

algo-trading-bot/

├── main.py (or src/)

├── requirements.txt / package.json

├── tests/

├── .github/workflows/ci.yml

├── .env.example

└── README.md

```

---

## 🤝 Contributing

1. Fork the repo

2. Create branch: `git checkout -b feature/your-feature`

3. Commit: `git commit -m 'Add your feature'`

4. Push: `git push origin feature/your-feature`

5. Open a Pull Request

---

## 📜 License

MIT License — free for commercial and personal use.

---





### ⭐ Star this repo if it helped you!

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