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Jeff Baker 9/8/2020 Wrapping UP **the examples and commentary given are for informational purposes only and as with any investment decisions you are encouraged to do your own due diligence and consult your licensed investment advisor** As a Senior Analyst at Common Stock Warrants (CSW) and the primary data analyst, programmer, economic geologist, I have had the opportunity to run many Python simulations and placed our databases within the machine learning environment to find statistical abnormalities and patterns in warrants. This series of posts will focus on how the results of those investigations have led me to find a path to creating a rolling basket of securities that require far less capital to start trading with warrants. All of this is prefaced with an in-depth exposure to the trading methodology of Dudley Baker and CSW which seeks to secure thousands of percent in gains in longer term scenarios with warrants. Return to the first part of this article series if any of the terminology or discussion in parts of this series needs clarification. In the previous articles in this series, there was a demonstration of the leverage capabilities within a basket of warrants and the potential methodology for a retail investor to implement to utilize stock warrants as a viable component of their portfolio. We discussed some of the most important aspects regarding entry and exit as well as exercise prices and their relationship to our selections. We looked at charts of comparison between the common shares and warrants and … Continue reading →

The post Trading your way to quick gains with a basket of warrants. (part 5 of 5) first appeared on Common Stock Warrants.

Jeff Baker 9/6/2020 The Outcome **the examples and commentary given are for informational purposes only and as with any investment decisions you are encouraged to do your own due diligence and consult your licensed investment advisor** As a Senior Analyst at Common Stock Warrants (CSW) and the primary data analyst, programmer, economic geologist, I have had the opportunity to run many Python simulations and placed our databases within the machine learning environment to find statistical abnormalities and patterns in warrants. This series of posts will focus on how the results of those investigations have led me to find a path to creating a rolling basket of securities that require far less capital to start trading with warrants. All of this is prefaced with an in-depth exposure to the trading methodology of Dudley Baker and CSW which seeks to secure thousands of percent in gains in longer term scenarios with warrants. Return to the first part of this article series if any of the terminology or discussion in parts of this series needs clarification. Continuing where we left off, we have now identified our targets based on the methodology that has been discussed. The next stage is to spend some money and roll the dice with a statistical advantage in our corner. Revisiting the previous list of targets we have been outlining and including with our entry prices the final exit prices let’s see how they performed individually and as the proposed “basket”. WARRANT COMPANY NAME ENTRY PRICE EXIT PRICE % CHANGE NFINW … Continue reading →