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Course Outline
소개
알고리즘 트레이딩 핵심 개념
- 알고리즘 트레이딩이란?
- 시장과 거래
- 텍스트 데이터 및 분석
Python, R 및 Stata
- 주식거래
- 채권 거래
- Investment 분석
개발 환경 준비
- Quandl 설치
- quantmod 설치
- 설치 및 구성 Stata
알고리즘 트레이딩 및 Python
- 데이터 가져오기
- Quandl 사용
- 재무 데이터 작업
- 재무 데이터를 위한 데이터베이스 생성
알고리즘 트레이딩과 R
- 데이터 가져오기
- 퀀트모드 사용
- 회귀 작업
알고리즘 트레이딩 및 Stata
- 데이터 가져오기 및 정리
- 테스트 전략
- 회귀 작업
요약 및 결론
Requirements
- R에 대한 경험
- Python 경험
청중
- Business 분석가
14 Hours
회원 평가 (5)
우리 프로젝트에서 사용하는 것과 더 유사한 데이터를 사용하여 더 실용적인 연습을 할 수 있다는 사실(래스터 형식의 위성 이미지)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
Machine Translated
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
