The larger the timeframe, the greater the stability; the smaller the timeframe, the weaker the stability. The higher the trading frequency, the greater the probability of errors; the lower the trading frequency, the lower the probability of errors. The more complex the trading system, the easier it is to fixate on details, while the simpler the trading system, the broader the perspective.

Using a simple trading system to trade large-timeframe market moves at low frequency is the correct approach.

This is merely Guilin’s practical confirmation, after years of hands-on experience in trading, of the principles passed down by trading predecessors.