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Spencer Li

About Spencer Li

After trading for 20+ years, reading 1500+ books, and mentoring 1000+ traders, I specialise in helping people create a second source of income via swing trading, with just 15 minutes a day.

Entries by Spencer Li

Testimonials

Training Program Reviews: “Much Anticipated Training Program”

Thanks for the support!  

0 Comments/by Spencer Li
Trading Psychology

Conservatism Bias – Are You Afraid of Change?

Conservatism bias is a mental process in which people cling to their prior views or forecasts at the expense of acknowledging new information. For example, suppose a trader receives some bad news regarding a company’s earnings and that this news negatively contradicts another earnings estimate issued the previous month.     Conservatism bias may cause […]

0 Comments/by Spencer Li
News & Events

The Synapse Program (Private Run)

Prior to the launch of the program, I ran it through some friends and volunteers to get their feedback, and this provided me idea on how to tweak and improve the program to cater to both complete newbies and experienced traders. For now, I have yet to release this program to the public. Feedback “This […]

0 Comments/by Spencer Li
News & Events

My Exclusive Interview with the Business Times

Discipline ‘key to success in trading’                                       Last week,  I was interviewed by Teh Shi Ning, one of the reporters from the Business Times, to share my trading journey and his success story. “Having spent over 7 […]

0 Comments/by Spencer Li
Trading Psychology

Self-Attribution Bias – Don’t Confuse Brains With a Bull Market!

Self- attribution bias (or self-serving attributional bias) refers to the tendency of individuals to ascribe their successes to innate aspects, such as talent or foresight, while more often blaming failures on outside influences, such as bad luck. There are actually two kinds of self-attribution bias, namely self-enhancing bias and self-protecting bias. Self-enhancing bias represents people’s […]

1 Comment/by Spencer Li
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