香港股票最佳交易策略 Hong Kong Stocks Top Trading Strategies (Profiting from Aphorisms, Book 8)

April 8, 2021
香港股票最佳交易策略 Hong Kong Stocks Top Trading Strategies (Profiting from Aphorisms, Book 8)

What will go up, what will go down?If you're looking to trade Hong Kong Stocks, then this book isfor you. It contains immediately actionable trading ideas,developed by scanning through Hong Kong Stocks in search of thosewho perform better using seven well-known trading strategies:CalendsFour SeasonsThanksgivingTriple Witching WeeksJanuary BarometerDecember Low ReversalSell in May and Go Away.These are time-based stocks trading strategies. They call foropening a trade at a specific time and also closing it at aspecific time. For example, with the Thanksgiving Strategy you opena trade on the Monday before Thanksgiving Day and close it on thefollowing Friday.With time-based stocks trading strategies you do not have toguess. You know beforehand when to enter and exit a trade and whatreturn you can likely expect.The author of Hong Kong Stocks Top Trading Strategies has over25 years of trading experience and has taught courses in finance,accounting and real estate. He has written this book in an easy andunderstandable way that does not require you to have prior math ortrading knowledge.Hong Kong Stocks Top Trading Strategies starts by brieflydescribing the mechanics of each trading strategy. It then lists,for each strategy, the top 20 Hong Kong Stocks expected tooutperform based on their past performance, detailing itshistorical winning percentage, expectancy and average return.The Kindle version of this book is periodically updated toreflect new market data. You can receive these updatesautomatically and at no extra charge. It's as if you weresubscribing to a stocks trading newsletter but without thecost!The print version is updated annually. Buyers of the printversion receive the Kindle version for free through the KindleMatchbook program.Get this invaluable resource right now and start trading withmore confidence and achieve greater returns!