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学生对 New York Institute of Finance 提供的 Using Machine Learning in Trading and Finance 的评价和反馈

3.9
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375 个评分

课程概述

This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading. By the end of the course, you will be able to design basic quantitative trading strategies, build machine learning models using Keras and TensorFlow, build a pair trading strategy prediction model and back test it, and build a momentum-based trading model and back test it. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)....

热门审阅

GY

Jun 27, 2022

Although the often glitches in the Google Cloud platform prevented me to complete the exercises, the course material is very useful.

WL

Sep 17, 2022

Very Good Course, Rich in Material, Very useful.Only some lab can not successfully functional. ( wihile downloading stock data )

筛选依据：

101 - Using Machine Learning in Trading and Finance 的 114 个评论（共 114 个）

创建者 Brendan K

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Jul 25, 2022

You should stop offering this course if you are not going to fix that Auquan no longer works. The code fix you suggested for the Yahoo Finance changes no longer works. Please see the discussion boards because this is true for many people.

创建者 masoud g

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Feb 16, 2021

It was not as practical as I thought.

In this course, complete contents are not expressed and it is necessary to search for topics.

Access to the lab is difficult to code. And coding exercises are not purposeful

创建者 Andrew H

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Apr 19, 2020

Needs actual exercises. All of the programming examples are pre-written or copy/paste. No real hand on learning opportunities.

创建者 Andrew M I

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Nov 11, 2024

Outdated content for legacy systems. Presenters themselves say they can't use what they teach anymore.

创建者 IOANNIS P

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Mar 12, 2025

some of the code won't run, and some instructions are outdated (AI Platform vs Vertex AI)

创建者 Javier M

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Jul 10, 2024

Google Cloud Content is outdated, instructions are all wrong.

创建者 Vinayak T

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Sep 3, 2021

This is a commercial for using the Google cloud platform.

创建者 Noviyanti K

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Jun 26, 2020

idk why the code on notebook always get error

创建者 Russell K

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Jun 18, 2020

almost nothing to do with machine learning

创建者 Philipp L

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Mar 6, 2024

Notebooks are outdated and don't run!

创建者 William L

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May 25, 2022

terrible enviroment settings

创建者 KG

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Apr 9, 2024

lab 3 and 4 don't work

创建者 Red R

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Nov 10, 2022

Labs Malfunction

创建者 Alexander R

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Jun 7, 2020

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