ETF Swing Trading App developed with Python
Budget: $8 – $15 AUD
I need a Python-based swing trading algorithm, complete with a Streamlit dashboard. This is a project I have started and have coded a significant amount of (as a coding enthusiast) but would like assistance moving forward.
Key Features:
- **Strategy Development**: The app allows the user to develop trading strategies using Talib library.
- **Backtesting Capabilities**: The algorithm should allow for comprehensive backtesting to evaluate its performance on historical data.
- **Risk Management Features**: To ensure the safety of investments, the algorithm should come equipped with robust risk management features.
- **Real-time Analytics**: The algorithm should be capable of providing real-time analytics to monitor market changes and trading performance.
The front-end should be a dashboard view, providing an intuitive and user-friendly interface to track the trading algorithm's progress.
Ideal Skills:
- Proficient in Python, with experience in creating trading algorithms.
- Familiar with the stock market and trends.
- Prior experience in developing front-end applications using Streamlit.
- Knowledge in implementing risk management features in trading algorithms.
- Capability to incorporate backtesting and real-time analytics into the application.
Key Features:
- **Strategy Development**: The app allows the user to develop trading strategies using Talib library.
- **Backtesting Capabilities**: The algorithm should allow for comprehensive backtesting to evaluate its performance on historical data.
- **Risk Management Features**: To ensure the safety of investments, the algorithm should come equipped with robust risk management features.
- **Real-time Analytics**: The algorithm should be capable of providing real-time analytics to monitor market changes and trading performance.
The front-end should be a dashboard view, providing an intuitive and user-friendly interface to track the trading algorithm's progress.
Ideal Skills:
- Proficient in Python, with experience in creating trading algorithms.
- Familiar with the stock market and trends.
- Prior experience in developing front-end applications using Streamlit.
- Knowledge in implementing risk management features in trading algorithms.
- Capability to incorporate backtesting and real-time analytics into the application.