Build fully automated trading system and Implement quantitative trading strategies using Python
InstructorMayank Rasu
The curriculum provides specific Python implementations for various indicators including MACD, ATR, Bollinger Bands, RSI, and ADX.
Instruction includes Natural Language Processing basics and the use of VADER, Textblob, and Machine Learning for sentiment analysis.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This frame shows the execution of a Python trading script within a terminal window, demonstrating how quantitative code interfaces with live market data and charting platforms.
This trading station dashboard illustrates the execution environment for quantitative strategies, featuring live market charts, real-time order tracking, and fundamental economic data feeds.
This introductory slide presents the instructor's credentials, highlighting his experience in investment banking, mathematics olympiad achievements, and work with machine learning trading bots.
Learner signals suggest that Alpha Vantage API access, web scraping sections, and cloud deployment instructions may be outdated or require manual adjustments.
The MetaTrader 5 section may be difficult for US residents to utilize, and some strategy implementations lack accompanying video guidance.
The curriculum aligns with the target audience's goals, though geographic and prerequisite considerations exist.