For more than a decade, we’ve engaged in algorithmic trading, witnessing significant trading errors during this period.
Through extensive experimentation, we stumbled upon the realization that profitability in quantitative trading hinges on diligent effort, discipline, and a scientific methodology.
Successful Algorithmic Trading imparts a methodology for recognizing profitable strategies from the beginning, conducting backtests, minimizing transaction costs, and executing trades efficiently through complete automation.
Regardless of your position in your quantitative trading journey, these concepts can be employed to establish a lucrative algorithmic trading enterprise.
300+ pages of algorithmic trading techniques
How to implement an end-to-end equities backtester with Python
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Course Features
- Lectures 1
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes