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Due to the bull market, I was short for two weeks. From October 23rd to December 5th, 15 pairs, 3 draws and 2 faults. These two mistakes made me reflect for a long time. In fact, I kind of repeated the mistakes I made in the early days. Impatience, and a little flaw in the model. It can be said that after the closing time, I spent all my time looking for reasons and solutions, so I closed the comment area and had no more energy to educate the humble black powder. Fortunately, after this reflection, many new things were discovered, which really played an optimization role.If it is too late to find out the crux of the model and break down the obstacles, it will be eliminated by the market immediately. Because we have to adapt to the market, and the market will never show us any mercy. If you can't update your ability in time and keep up with the rhythm of the market, then you will be left in the long river of history and sink a little with that insignificant record.Looking back, I concluded that August 23rd to October 10th was the initial stage of using the new model after I realized the Tao. Thirteen pairs, one draw, three wrongs. Indeed, there is a gap between theory and practice, and making mistakes in the early stage is conducive to adjusting the new model.

Long time no see, brothers.

At present, I am "returning" with a brand-new model. I hope that this time I can officially usher in the heyday, take every step down-to-earth and devote myself to it, and I will be outstanding.Due to the bull market, I was short for two weeks. From October 23rd to December 5th, 15 pairs, 3 draws and 2 faults. These two mistakes made me reflect for a long time. In fact, I kind of repeated the mistakes I made in the early days. Impatience, and a little flaw in the model. It can be said that after the closing time, I spent all my time looking for reasons and solutions, so I closed the comment area and had no more energy to educate the humble black powder. Fortunately, after this reflection, many new things were discovered, which really played an optimization role.