A story of double Hk Potential traders

With Hong Kong’s famous trading floor closing, WSJ spoke to the city’s oldest stock trader and one of its youngest ones about how the industry has changed and where it’s headed. Video/Photo: Clément Bürge/WSJ

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今日想跟大家分享我會在這次大跌市買的三隻港股。

這一次武漢肺炎所引發出來的危機可以説是至2008年雷曼兄弟事件之後最大規模的跌市。

面對住這市況當然是擔心的,但我認為我們其實應該要倒返轉頭去想,這次股災會不會是一個機會給我們去把握,在低位入市呢?

雖然現在疫情好像很差,但疫情都會有過去的一日,都是時間長短的問題。當疫況控制得到的時候,普遍經濟活動應該會回復正常。

第一隻我會買的股票是美團 3690。美團做的生意都是圍繞日常生活有關的消費。旗下擁有的APP包括有美團和大眾點評。

APP上除了可以叫外賣之外,有網上超市可以買餸安排送貨,可以訂酒店,餐廳,機票,做GYM,預約做SPA都可以。

簡單來說美團想建立一個吃喝玩樂的APP,將你日常生活每一個細節都可以經旗下的APPS入面做到。

這疫況之下相信美團可以吸納到更多用戶利用美團的APP去買外賣,從而建立到品牌忠誠度。所以我認為長遠發展不錯,可以值得低位吸納。

第二隻我會買的股票是平安好醫生 1833,平安好醫生是一間網上看醫生的APP。用戶可以用文字,録音和相片去跟醫生講談自己病情。

入面個APP就分了好多不同專科,可讓用戶根據自己病況選擇相關的專科醫生。至於睇症收費有平有貴,甚至有免費的。收費金額都應該視乎醫生資力和病人給醫生的評價。看完醫生之後,用家可以根據網上醫生意見,經網店去買藥。同一時間,網店都有賣日常保健藥和日常醫療用品,例如口罩,洗手液等等。經過這次疫情,我相信網上看醫生會變得更加普及。平安好醫生正正在一個高速發展嘅行業,相信有很大發展空間。

第三隻我會買的股票是阿里巴巴 9988。這公司大家都應該非常之熟悉。除了在網上做B2B貿易平台之外,阿里巴巴主要做網上零售服務包括淘寶和天貓都屬於阿里巴巴子公司。

而比較近期發展的業務,阿里雲都有不錯發展。阿里雲主要提供企業網上支援服務,例如這數據存庫,大數據分析和人工智能技術等等。這些科技產品服務都有長遠發展空間。

現波動市況下,投資者一定至少分幾注買入股票,不要一注買入。如果長期看好公司業務,月供股票是一個辦法。

這類型增長科技股比起其他籃籌股票波動會比較大。如果自問可以短期承受股票下跌壓力,投資者可以不防考慮襯市況回調時買入作中長線投資。

Developing Potential sales Projecting Model with RapidMiner

Rapidminer 5.0 Video Tutorial #8 - Financial Time Series Data Exploration

In this video I show the viewer how to use Rapid Miner’s Time Series plugin to explore time series data. This is a prep for videos #9 and #10 that will teach the viewers how to make financial time series predictions.
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How A.I. Potential traders Will Reign over Only Deposit Field | Marshall Chang | TEDxBeaconStreetSalon

How A.I. Traders Will Dominate Hedge Fund Industry   | Marshall Chang | TEDxBeaconStreetSalon

We’ve seen fully automated bot beats us in Go, one-on-one Poker and Dota II, now what’s going to happen for trading financial markets? Listen to A.I. Capital Management sharing their research, a Deep Learning trading agent that over-performs us in trading FX markets. Marshall has been trading FX markets for 5 years. As a Master in Finance graduate from Brandeis International Business school, he combines his insight in financial markets with a passion for machine learning and expertise in programming, striving to build the first game-changing A.I. trading system to disrupt the markets.

He has a strong passion for quantitative trading and machine learning and started AI Capital Management in September 2016. His inspiration came from Google DeepMind’s AlphaGo project, which is a Deep Learning agent that beats human Go world champions. Go, as a game with complexity at a number more than the atom in the universe, is arguably as hard as or even harder than trading financial markets, which they believe is the next game to be solved with Artificial Intelligence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
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