This course provides a practical introduction to designing, testing, and deploying algorithmic trading strategies using Python. Learners explore data ingestion, technical indicators, time-series analysis, backtesting engines, and API-based execution. The course demonstrates how systematic trading models are built, evaluated, and optimized in real-world environments. Designed for traders, analysts, and technically minded learners, it equips students with the tools to develop automated trading systems confidently and professionally.
Crescimento
Competências e objetivos de aprendizagem
Há 6 módulos neste curso
- Basic ConceptsDesbloqueia este curso para ver7min 28s
- Calculate Moving AverageDesbloqueia este curso para ver3min 42s
- What defines a trend in a time series?Desbloqueia este curso para ver7min 36s
- What is an API?Desbloqueia este curso para ver3min 17s
- Making API Requests in PythonDesbloqueia este curso para ver6min 29s
- Using API with QueryDesbloqueia este curso para ver3min 39s
- What is IBAPI?Desbloqueia este curso para ver22min 12s
- Import necessary libraries.Desbloqueia este curso para ver6min 10s
- What is Backtesting.py?Desbloqueia este curso para ver3min 46s
- Step-by-Step Practical ApplicationDesbloqueia este curso para ver12min 54s
- Opening HookDesbloqueia este curso para ver12min 18s
- IntroductionDesbloqueia este curso para ver9min 4s
- Step-by-Step InstructionsDesbloqueia este curso para ver17min 7s
- ClosingDesbloqueia este curso para ver1min 21s
Este curso faz parte das seguintes certificações
AI & Algo Trading Certification (AIAT)
54 CursosExercícios interativos ilimitados
Desbloquear certificado
Perguntasfrequentes sobre o curso
The course aims to teach learners how to design, implement, and validate algorithmic trading strategies using Python, including data analysis, machine learning, technical indicators, and API integration.
The course is designed for finance professionals, quantitative analysts, and learners with basic programming knowledge who want to build and optimize algorithmic trading systems.
The module covers retrieving real-time and historical market data, handling rate limits, processing JSON/XML responses, and using APIs to support algorithmic trading workflows.
The course explains how to retrieve data, generate trading signals, implement moving-average strategies, and back-test performance using Python functions and libraries.
Learners will develop skills in feature engineering, model training, performance evaluation, and using predictive analytics to improve the effectiveness of trading algorithms.
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