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Iterative Model Design: Our Research Environment

finance

quantitative finance

risk

risk analysis

math

statistics

algorithms

algorithmic trading

Quant

data

tradable stocks

securities

defined universe

alpha

alpha signals

alpha combination

mega alpha signal

portfolio construction

objective function

constraints

risk model

trading

trade

model weighting

economics

trade execution

backtest

real market testing

out of sample testing

Автор: Quantopian

Загружено: 2018-06-07

Просмотров: 7155

Описание: This video walks you through how to design investment models. Max Margenot, one of our data scientists, discusses building an economic hypothesis, exploring and refining the hypothesis with data, running out-of-sample testing, and eventually designing and executing a portfolio.

“Iterative Model Design” is the second video in our newly-launched video series, “Quantopian Shorts.” These educational videos will give you quick insight into trading strategies, data trends, and other quant topics. Subscribe to our Youtube Channel for future videos like this one.

To learn more about Quantopian, visit http://www.quantopian.com.

If there are any topics or trends you would like us to focus on for future videos, please send us a quick note at [email protected].

Disclaimer
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.

More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.

In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

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Iterative Model Design: Our Research Environment

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