Stock Pattern Recognition Based on Algorithm: Up to 17.13% Returns in 1 month

Stock Pattern Recognition

This forecast is part of the “Risk-Conscious” package, as one of I Know First’s quantitative investment solutions. We determine our aggressive stock picks by screening our database daily for higher volatility stocks that present more opportunities, but are also more risky. The full Risk-Conscious Package includes a daily forecast for a total of 40 stocks with four main categories:

  • top ten aggressive stocks picks that best fit for long position
  • top ten aggressive stocks picks that best fit for short position
  • top ten conservative stocks picks that best fit for long position
  • top ten conservative stocks picks that best fit for short position

Package Name: Risk-Conscious
Forecast Length: One Month (9/13/2015 – 10/13/2015)
I Know First Average: 5.03%

Stock Pattern Recognition

I Know First’s 1 -month forecast from the Risk-Conscious package nine out of the ten stocks increase in accordance with the algorithm’s prediction. PIAIF performed well, returning 17.13% during the time horizon as the algorithm indicated. Likewise,  NTES and APA were also included in the top 10 picks of the Aggressive Stocks forecast and had strong returns of 12.67% and 10.92% over 7 days. The average return of 5.03% during the forecasted time horizon outperformed the S&P 500 return of 2.17% during the same time.

Ping An Insurance group (PIAIF) is the holding company of Ping An Life Insurance Company of China, Ltd. and Ping An Property & Casualty Insurance Company of China. PIAIF has had a back and forth year, by having very strong Q2 with the price going as high $7.36 before having the price drop in the Q3 all the way down to $4.80. PIAF had a strong recover this past month, by increasing 17.13% to a price of $5.62.

Algorithmic traders utilise these daily forecasts by the I Know First market prediction system as a tool to enhance portfolio performance, verify their own analysis and act on market opportunities faster. This forecast was sent to current I Know First algorithmic traders.

How to interpret this diagram

Please note-for trading decisions use the most recent forecast. Get today’s forecast