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Python Trading Course
Unlock the power of algorithmic trading with our Python Trading Course, designed for technology professionals keen to excel in financial markets. Dive into trading strategy concepts, master risk management, and explore diverse trading strategies. Harness Python for data analysis using Pandas and Matplotlib, and learn to backtest strategies effectively. Gain expertise in data acquisition, management, and performance analysis. Elevate your skills by writing and optimising trading algorithms to generate precise buy and sell signals.
- Master risk management: Implement strategies to minimise trading losses.
- Analyse data with Pandas: Manipulate and visualise data for insights.
- Backtest trading strategies: Evaluate performance with historical data.
- Optimise trading algorithms: Enhance code efficiency and execution.
- Generate trading signals: Develop algorithms for buy and sell decisions.

4 to 360 hours flexible workload
certificate recognised by the NZQA
What will I learn?
Unlock the power of algorithmic trading with our Python Trading Course, designed for technology professionals keen to excel in financial markets. Dive into trading strategy concepts, master risk management, and explore diverse trading strategies. Harness Python for data analysis using Pandas and Matplotlib, and learn to backtest strategies effectively. Gain expertise in data acquisition, management, and performance analysis. Elevate your skills by writing and optimising trading algorithms to generate precise buy and sell signals.
Elevify advantages
Develop skills
- Master risk management: Implement strategies to minimise trading losses.
- Analyse data with Pandas: Manipulate and visualise data for insights.
- Backtest trading strategies: Evaluate performance with historical data.
- Optimise trading algorithms: Enhance code efficiency and execution.
- Generate trading signals: Develop algorithms for buy and sell decisions.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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