Stock Predictions Based on Data Mining: Returns up to 14.56% in 3 Days

fundamentals Package Name: Fundamental - Low P/E Stocks
Recommended Positions: Long
Forecast Length: 3 Days (3/15/22 - 3/18/22)
I Know First Average: 7.43%

Read The Full Forecast

Stock Predictions Stock Predictions chart

Stock Market Predictions Based on Deep Learning: Returns up to 11.34% in 3 Days

insider trading Package Name: Insider Trades
Recommended Positions: Long
Forecast Length: 3 Days (1/11/22 - 1/14/22)
I Know First Average: 3.75%

Read The Full Forecast

Stock Market Predictions Stock Market Predictions chart

Stock Market Predictions Based on Predictive Analytics: Returns up to 8.9% in 3 Days

insider trading Package Name: Insider Trades
Recommended Positions: Long
Forecast Length: 3 Days (1/7/22 - 1/11/22)
I Know First Average: 1.39%

Read The Full Forecast

Stock Market Predictions Stock Market Predictions chart

Stock Predictions Based on Pattern Recognition: Returns up to 32.14% in 1 Month

fundamentals Package Name: Fundamental - Low P/E Stocks
Recommended Positions: Short
Forecast Length: 1 Month (6/6/21 - 7/7/21)
I Know First Average: 4.78%

Read The Full Forecast

Stock Predictions Stock Predictions chart

Stock Market Forecast Based on Machine Learning: Returns up to 32.14% in 1 Month

fundamentals Package Name: Fundamental - Low P/E Stocks
Recommended Positions: Short
Forecast Length: 1 Month (6/6/21 - 7/6/21)
I Know First Average: 4.7%

Read The Full Forecast

Stock Market Forecast Stock Market Forecast chart

Updated Performance Report of I Know First’s AI-Predictive System for Japanese Stock Market – Continuously Beating the Nikkei 225

As of December 28th 2017, I Know First finished the implementation and the training period of its AI-based ranking and forecasting model for the main equities listed on the Tokyo Stock Exchange (TYO) specifically a selection of 1277 stocks. On this date, I Know first published the first Japanese stock forecast for the subscribed investors in the local Japanese market, as the timing of the data feed and the forecast generation was adjusted to the respective time zone.

According to our forecast evaluation results, the predictions generated returns greatly surpassing that of the benchmark

Read More