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How we do it

Making consistent profits in the stock market is a skill that takes time to learn and practise. you can greatly simplify the process of developing this skill with our investment tools and training.

Learn the fundamentals of stock picking and dwelve into developing an advanced investment program that fits your personal risk tolerance with us.

Investment methodology

Example: 1909 (Fire Rock)
EPS growth
Sales growth
2020-06-30
+212.99%
+177.33%
2020-03-31
+212.99%
+177.33%
2019-12-31
+178.77%
+108.71%
2019-09-30
+178.77%
+108.71%
2019-06-30
+60.41%
+58.52%
2019-03-31
+71.70%
+61.15%

Resulting stock price gain from February to May 2021: ~100%
Contrast this with the Hang Seng Index, which saw only a 3-4% gain in the same period.

We align the investment strategy of our algorithms and AI learning models to the growth investing methodology, which means that stocks selected by our algorithms must demonstrate profit growth. In our experience, exceptional profit growth generally drives substantial price appreciation.

Growth investors tend to favour smaller, younger companies poised to expand and increase in valuation and profitability as time goes by. Such companies tend to be more innovative compared to larger, more established companies.

The metrics below help us find companies with solid fundamentals:

  • historical earnings growth
  • revenue growth
  • profit margins
  • returns on equity (ROE)
  • share price performance

Our technology

Each day, the Percival Core engine collects, analyses and quantifies the latest fundamental and technical (price/volume) data for all Hong Kong stocks from the Hong Kong Stock Exchange.

Using machine learning, Percival Core then selects "high-growth stocks" with strong fundamental and technical characteristics (i.e. potential for substantial price increase).

Percival Core provides an automated way to select stocks amongst the universe of stocks, avoiding emotional impact on stock selection.

Whilst stock selection using fundamental and technical data can be accomplished using fixed criteria and set algorithms, equity markets evolve and correlations between sets of data may erode or strengthen over time.

The AI module that Percival Core incorporates today enables the engine to undertake supervised learning and continue to select stocks based on an evolving set of criteria that continues to correlate with real value gains despite changes in equity market trends cycles.

The learning is supervised by our founder, Percival Ho, who has over 18 years of experience in profitable trading using the growth investment strategy.

In addition to correlating data sets, our AI engine is able to recognise chart patterns (including cup with handle, double bottom and flat base formations). We will be rolling out this function to our subscribers so you have an additional reference for your research and investment strategies.

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