Shanghai Stocks Based on Algorithmic Trading: Returns up to 74.68% in 3 Months

Shanghai Stocks

This forecast for Shanghai Stocks is part of the By Country Package, as one of I Know First’s algorithmic trading tools. The full forecast includes daily predictions for a total of 20 stocks with bullish and bearish signals:

  • Top 10 Shanghai stocks for the long position
  • Top 10 Shanghai stocks for the short position

Package Name: Shanghai Stock Forecast
Recommended Positions: Long
Forecast Length: 3 Months (4/25/21 – 7/26/21)
I Know First Average: 20.9%
Shanghai Stocks
Shanghai Stocks chart

For this 3 Months forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from 600702.SS, at 74.68%. 601633.SS, and 601636.SS had notable returns of 61.42% and 48.15%. The package had an overall average return of 20.9%, providing investors with a 21.09% premium over the SHANGHAI SE’s return of -0.19% during the 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.

Signal: This indicator represents the predicted movement direction/trend; not a percentage or specific target price. The signal strength indicates how much the current price deviates from what the system considers an equilibrium or “fair” price.

Predictability: This value is obtained by calculating the correlation between the current prediction and the actual asset movement for each discrete time period. The algorithm then averages the results of all the prediction points, while giving more weight to recent performance. As the machine keeps learning, the values of P generally increase.

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