So I have just finished reading trading in the zone for the second time and it is a real eye opener in the way that one as a professional trader should think..

I could really relate to this book as my mindset in life and in trading was exactly how is described as the "typical Trader" and the a professional one..

Here are the main points that stuck with me which I will implement going forward in my trading.

1. You must learn to think in probabilities and not just think or understand the concept but to have a rock solid belief in that no one trade matters and you cannot let yourself get sucked into what you expect to happen on a trade by trade basis. You must look at the outcome over a series/ batch of at least 20 trades.

2. Each moment is completely unique. It doesn't matter if you saw the exact same pattern 100 times in the past, each time the pattern appears it is a unique moment that has the ability to produce a unique outcome and must not be associated with the last time you saw the pattern play out. As humans we have an innate ability to try and associate/connect similar past events with events happening in the present or events that might happen in the future. It is these expectations we have of an event producing a particular outcome that makes trading such an emotional game. If we truly had no expectations of what's going to happen next but we had a rock solid belief that over a series of events their high a high probability of a certain outcome, then we would essentially be able to trade from a "care free state of mind".

3. It only takes one person in the market with more money than you to push your trade against you. It doesn't matter what you think is going to happen.

I have learned so much more form this but these are the essential points which I will implement going forward in my trading. Trust your edge, no one trade matters, if you lose even 3 times in a row, take an objective approach and measure your edge in a series of 20 trades or more and do not be discouraged by losses as there is a random distribution between wins and losses in any given sample size.