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New York, NY 10033
Yiqiao.Yin@YinsCapital.com

Video Channel

We are the next gen human-AI hybrid, the best mankind will ever have.

This is the YouTube Channel of Yin’s Capital.

CHANNELS

Description

Coffee Time with Mr. Yin!: YouTube or Here

This playlist presents videos that is specifically made for coffee time! Every day during morning breakfast or at lunch break, feel free to watch this video series. All videos are aimed to explain a simple story in Statistics, Data Science, Machine Learning, or Money Management and each episode lasts about 7 minutes. Is it coffee time for you? Time to have a drink with Mr. Yin!

Yin’s Q Branch: YouTube or Here

Welcome to Yin’s Q Branch! This is a video series that is developed specifically focusing on coding aspect, and hence the name “Q Branch”. Here “Q” implies “quantitative”. Just like “Coffee Time with Mr. Yin!”, this playlist composes videos that targets the fields of data science, machine learning, and money management. Each video discusses a specific problem and dedicates most of its time to coding and writing computer scripts. Are you ready to code? Get your quant experience started with Mr. Yin!

Yin’s Squawk Box: YouTube or Here

Welcome to Yin’s Squawk Box! This video series touches upon fundamental and technical indicators in the stock market and may be of interest of day traders, swing traders, and quant traders out there who are constantly following equity market. For relatively passive fund managers out there, I hope this video provide some intuition of how things work out there and may be of service for you if you ever want to decide to move capitals around from one asset class to another.

Yin’s Py: YouTube or Here

Welcome to Yin’s Py! This video series uses Python as main programming language and jupyter lab as the main programming interface. The topics focus on data science (DS), machine learning (ML), feature selection and feature engineer (FSFE), deep learning (DL), and money management (MM). Each video will focus on a particular topic and I will walk through the code and executions on how I interact with machines to make sound decisions.

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