Three Horses and A Dog

Hi people, Welcome to my strategy. Thank you for honouring me by being here. I am 30 something from the land of Canada, the True North strong and free forever. I studied Computer Science and Mathematics from a University in Ontario and now I work full time in a Cloud Development team. I am with the same employer since I graduated. I play softball on the weekends. I love camping, hiking, travelling and meeting new people. I am also deeply in love with fishing and also winter fishing where you have to dig a 12 inch hole with an auger through the ice. The day I will catch a 50 inch Musky, my life will be complete.

Hi people, Welcome to my strategy. Thank you for honouring me by being here. I am 30 something from the land of Canada, the True North strong and free forever. I studied Computer Science and Mathematics from a University in Ontario and now I work full time in a Cloud Development team. I am with the same employer since I graduated. I play softball on the weekends. I love camping, hiking, gym, travelling and meeting new people. I am also deeply in love with fishing and also winter fishing where you have to dig a 12 inch hole with an auger through the ice. The day I will catch a 50 inch Musky, my life will be complete.

I started trading about 7 years ago. I have flirted with few different trading strategies before settling with my trading strategy that I like to call Three Horses and A Dog. The first philosophy of this strategy is that we can't control anything in the stock market, we can't control the news, we can't control the technical aspects, we can't control whether the stock will go up or down or sideways. The second philosophy of this strategy is that stocks and markets, more often than not, have a habit of correcting themselves. Every now and then good stocks visit their historical levels from where they changed their directionality. With this philosophy I wrote python scipts that takes in a stock's historical level, price and technical levels, spread it over certain period in years and does Quantitative analysis, and Statistical modelling on the numbers. These python scripts connect to my Quantitative Distribution tool. You can find it in the navigation bar above. This tool in simple words, describes how a certain stock's behaviour was when it was on such and such levels previously. I have explained more in my how-to page above on how to use this tool. The alerts system, historical frequency and historical statistics are all built upon this tool. With this modelling in mind, I like to stay away from news, speculation and technical analysis of the stock. However, I do not use unknown names in my stock alerts system universe builder i.e. I only select stocks from S&P 500 and QQQ with a certain criteria on top. I have personally found this strategy useful in my own trading and I generally take very few trades. I would call it a semi-passive strategy, this is not a get-rich-quick scheme.

I hope that you benefit from this strategy. I have made it easy to follow, the python scripts are working behind the scenes which will provide oppurtunities right in the mailbox and with enough disciplne, time and effort, hopefully, you will become more familiar with this strategy over time.

I believe that every human being is equal and that a human life is sacred. Everyone has the right to prosper and live happily. I am a strong believer in helping others, being kind and sharing what we have. The sharing could be knowledge, money and good morality.