EXECUTIVE PROGRAMME IN ALGORITHMIC TRADING (EPAT) Prospective EPAT candidates need foundational grasp of statistics, Python programming, and financial markets structure before enrollment. The curriculum assumes comfort with probability distributions, backtesting logic, and how order execution impacts strategy profitability. Arriving with weak quantitative skills or zero market experience creates significant friction in later modules covering machine learning model deployment and live trading infrastructure.
| Exam Name | EXECUTIVE PROGRAMME IN ALGORITHMIC TRADING |
| Exam Code | EPAT |
| Format | PDF & Practice Test Engine |
| Target Year | 2026 Updated |
| Features | 100% Verified Q&As |
