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All Blog Posts Tagged 'stock' (7)

Data Science, Common Stocks and V&V

I thought I would follow on my first blog posting with a follow-up on a claim in the post that going returns followed a truncated Cauchy distribution in three ways.  The first way was to describe a proof and empirical evidence to support it in a population study.  The second was to discuss the consequences by performing simulations so that financial modelers using things such as the Fama-French, CAPM or APT would understand the full consequences of that decision.  The third was to discuss…

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Added by David Harris on December 27, 2018 at 7:32pm — No Comments

Fugues of Operational Market Alignment

In the “Ecology of Metrics,” I wrote about “alignment” being a type of metric; alignment can measure the extent to which an organization’s supply or capacity is matched against the demands or needs of the market.  For instance, in a call centre, it would be highly desirable to have agents available to respond to calls at “precisely” the same time that clients are making calls.  If alignment is off even by only 15 to 30 seconds, impatient clients might hang up and never call again.  Similarly…

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Added by Don Philip Faithful on June 2, 2018 at 5:00am — No Comments

Sequenced Differential Lattices and Randomness

The images on this blog are from an algorithmic environment that I first developed about 15 years ago - rendered using a graphical system that I wrote in Java.  A “differential lattice” is a structured array of differences between two points:  e.g. the difference between the closing price of a stock on day T-0 (today) and T-6 (a week ago).  Consequently, if the closing prices are $10.10, $10.20, $10.30, $10.40, and $10.50 (today), then 0/3 is from T-0/T-3 or $10.50 less $10.20 = $0.30.  A…

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Added by Don Philip Faithful on August 12, 2017 at 5:30am — No Comments

The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?

Why Machine Learning Doesn’t Work Well for Some Problems?

Shahab Sheikh-Bahaei, Ph.D.*

Principal Data Scientist

Intertrust Technologies.

Introduction

Machine Learning (ML) is closely related to computational statistics which focuses on prediction-making through the use of computers. ML is a modern approach to an old problem:  predictive inference. It makes an inference from “feature” space to “outcome/target” space.…

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Added by Shahab Sheikh-Bahaei on July 6, 2017 at 4:30pm — No Comments

Value-Liquidity Cycle

I made a recent discovery that I would like to share with the community. In my previous blog, I introduced a special algorithmic shell that distributes stocks based on their price movements (along the x-axis) and volume movements (y-axis). Using this shell, it is possible to visualize the trading behaviours of dozens of stocks simultaneously. I noticed one day that the stocks seemed to be lining up in formation. I decided to test the accuracy of my visual interpretation. Below I present the…

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Added by Don Philip Faithful on March 22, 2015 at 5:22am — No Comments

Social Construction of Technical Trading Data

I heard an accountant once say that people in his profession are generally bad investors. I am uncertain if this is true. I never really bothered to confirm his assertion. He said that his reasons for believing so relate to the nature in which accountants interpret data, which he implied was rather literal. I personally almost always ignore "book value" - that is to say, the cost of acquisition. For me, the book value is similar to a figure of speech: the investment value never has to be…

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Added by Don Philip Faithful on February 16, 2015 at 6:57am — No Comments

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