Chinese Stocks ETF

This forecast is part of the ETFs Package, as one of I Know First’s quantitative investment solutions. We determine the top ETFs by screening our database daily using our advanced algorithm. The full ETFs Package includes a daily forecast for a total of 20 Chinese Stocks ETF ETFs with bullish and bearish signals:

• Top 10 Chinese ETFs for the long position
• Top 10 Chinese ETFs for the short position

Package Name: Chinese ETF Forecast
Recommended Positions: Long
Forecast Length: 1 Year (1/28/2019 – 1/28/2020)
I Know First Average: 21.71%

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. The greatest return came from 513100.SS at 46.61%. 510630.SS and 510210.SS also performed well for this time horizon with returns of 37.86% and 21.65%, respectively. The package itself saw an overall return of 21.71%, providing investors with a 7.30% premium above the S&P 500’s return of 14.41% for the same time period.

Algorithmic traders utilize 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 subscribers.

How to interpret this diagram

Algorithmic Stock Forecast: The table on the left is a stock forecast produced by I Know First’s algorithm. Each day, subscribers receive forecasts for six different time horizons. Note that the top 10 stocks in the 1-month forecast may be different than those in the 1-year forecast. In the included table, only the relevant stocks have been included. The boxes are arranged according to their respective signal and predictability values (see below for detailed definitions). A green box represents a positive forecast, suggesting a long position, while a red represents a negative forecast, suggesting a short position.

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