The dream of trading for substantial profits can often seem like merely a pipe dream for the small under-capitalized trader. One might find some surprising inspiration in the rise of MMA’s super star Conor McGregor. He has pursued his dream of MMA and combat sports with a conscious, deliberate mindset, and yet people have doubted him at every step.
And, now he faces his biggest challenge yet, as he crosses into the boxing world and challenges Floyd Mayweather. The consensus is already counting McGregor out. But, I would not count out McGregor because he has applied deliberate, conscious effort over his entire lifetime. People assume McGregor is acting impulsively for a money grab but people like McGregor work toward their goals over decades. For all we know, he may have had the idea for this fight years ago. Successful people use pre-selection to get what they want: McGregor selected Mayweather. Dana White is also a shrewd businessman. He would not have allowed this fight to happen if he didn’t think that McGregor had a shot at winning it. This is not a good fight for Mayweather. In my opinion, McGregor is the most dangerous and underrated opponent Mayweather has faced yet. Even so, success is not guaranteed, perhaps not even remotely likely if you believe the odds because his opponent has did the same. But, if I had to call this fight, I suspect Mayweather tries to run for the first several rounds. Conor attempts to muscle and tire him out. In the third or fourth round, Conor recognizes that if doesn’t get the job done that the probability of success might swing to Mayweather’s favor, in the third or fourth round Conor catches Mayweather while Mayweather retreats and drops him.
Trading is less likely to be a pipe dream if…
Trading is more likely to be a pipe dream if…
Curtis is passionate about markets. He has developed top ranked futures strategies. His core focus is (1) applying machine learning and developing systematic strategies, and (2) solving the toughest problems of discretionary trading by applying quantitative tools, machine learning, and performance discipline.
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