The Need to be Perfect Can Kill Your Trading(완벽해야 할 필요성은 당신의 거래를 죽일 수 있습니다)

The Need to be Perfect Can Kill Your Trading(완벽해야 할 필요성은 당신의 거래를 죽일 수 있습니다)

Bob puts many hours into his trading in more ways than one. He studies the charts. He has spread sheets with inter-market correlations and spread sheets with his own trading stats. He’s glued (붙어 있다)to the screen during market hours. He’s very busy.

Bob은 여러 가지 방법으로 거래에 많은 시간을 투자합니다. 그는 차트를 연구합니다. 그는 시장간 상관관계가 있는 스프레드 시트와 자신의 거래 통계가 있는 스프레드 시트를 보유하고 있습니다. 그는 시장 시간 동안 화면에 붙어 있습니다. 그는 매우 바쁘다.

Bob is a hard worker; working hard is second nature to him. He worked hard to get into the right college, earned a degree in engineering, graduated near the top of his class at a prestigious university. He was lucky when he entered the workforce because at the time, the economy was rolling along and recruiters were seeking people just like Bob.

밥은 열심히 일합니다. 열심히 일하는 것은 그에게 제 2의 천성입니다. 그는 올바른 대학에 들어가기 위해 열심히 일했고, 공학 학위를 취득했으며, 명문 대학에서 거의 상위권에 올랐습니다. 그가 노동력에 들어갔을 때 운이 좋았습니다. 당시 경제가 순조로웠고 채용 담당자들이 Bob과 같은 사람을 찾고 있었기 때문입니다.

The freedom to be his own boss is what brought Bob into trading. Master of his own destiny.

자신의 상사가 될 수 있는 자유가 Bob을 거래하게 만든 이유입니다. 자신의 운명의 주인.

With all his hard work, Bob is still about break even as a trader. What Bob doesn’t realize is that the skills that made him a good engineer are not the same skills that will make him a good trader. Yes, there is a certain amount of study involved, but in the final analysis, for a trader, it’s about how you respond to discomfort. Not how much you study the charts, not how many spreadsheets you have, etc.

그의 모든 노력에도 불구하고 Bob은 여전히 트레이더로서 손익분기점에 도달했습니다. Bob이 깨닫지 못하는 것은 그를 훌륭한 엔지니어로 만든 기술이 그를 좋은 상인으로 만드는 기술과 같지 않다는 것입니다. 예, 어느 정도의 연구가 필요하지만 최종 분석에서 트레이더의 경우 불편함에 어떻게 반응하는지에 대한 것입니다. 차트를 얼마나 공부했는지, 얼마나 많은 스프레드시트를 가지고 있는지 등이 아닙니다.

Bob did well on a simulator, but with cash he succumbs to the anxiety of interacting with a market that will always show some noise, some ambiguity.

Bob은 시뮬레이터에서 잘했지만 현금으로 항상 약간의 소음과 약간의 모호성을 보여줄 시장과의 상호 작용에 대한 불안에 굴복했습니다.

Bob realizes that his hesitation to enter when he sees his signal and the inability to hold a winning trade are preventing him from succeeding.

Bob은 자신의 신호를 보고 진입을 주저함과  성공적인 거래를 보유할 능력이 없음은 

성공을 못하게 하는 것임을 깨닫습니다

Like many perfectionists, Bob is getting in his own way. And like many perfectionists, interacting with something as messy as the market brings up a lot of anxiety. But instead of dealing with the issue, Bob spends more time searching for the answer in the charts, and in the spreadsheets etc.

많은 완벽주의자와 마찬가지로 Bob은 자신의 방식대로 진행하고 있습니다. 그리고 많은 완벽주의자와 마찬가지로 시장처럼 지저분한 것과 상호 작용하는 것은 많은 불안을 불러일으킵니다. 그러나 Bob은 문제를 처리하는 대신 차트와 스프레드시트 등에서 답을 찾는 데 더 많은 시간을 할애합니다.

Deep down, Bob knows the solution to his problem is within him, not in the charts. But by analyzing the external data (everything outside him) it keeps him busy. That’s what many perfectionists do; perfectionists stay busy.

깊숙이 밥은 자신의 문제에 대한 해결책이 차트가 아니라 자신 안에 있다는 것을 알고 있습니다. 그러나 외부 데이터(외부 모든 것)를 분석함으로써 그를 바쁘게 만듭니다. 그것이 많은 완벽주의자들이 하는 일입니다. 완벽주의자는 바쁘다.

The solution is to analyze the internal data (what’s inside). It’s the internal data that causes you to hesitate, bail out of winning trades too early, ignore your stop, etc. It’s one thing to study the factors that cause the market to move, but it is more important to know what causes you to move. It’s the internal data…the emotions of fear, anxiety, the things that make you uncomfortable, that’s important and must be dealt with.

해결책은 내부 데이터(내부 데이터)를 분석하는 것입니다. 망설이게 만드는 것은 내부 데이터입니다. 너무 일찍 낙찰된 거래에서 빠져 나오거나, 중지를 무시하는 것 등입니다. 시장을 움직이게 하는 요인을 연구하는 것도 중요하지만, 움직이게 하는 원인을 아는 것이 더 중요합니다. . 그것은 내부 데이터입니다... 두려움, 불안, 당신을 불편하게 하는 감정, 그것은 중요하고 다루어야 하는 것입니다.

Your P&L ( profit and loss :손익) is a result of your actions, not how well how analyze charts. Your actions, how you execute and manage your trades is not a function of analyzing the external data; your P&L is really more a matter of how well you manage yourself.

P&L은 차트를 얼마나 잘 분석했는지가 아니라 행동의 결과입니다. 귀하의 행동, 거래를 실행하고 관리하는 방법은 외부 데이터를 분석하는 기능이 아닙니다. 귀하의 손익은 실제로 자신을 얼마나 잘 관리하느냐의 문제입니다.

 

By Andrew Menakar