Stock Forecasting Based on Pattern Recognition: Returns up to 480.14% in 1 Year
Stock Forecasting
Stock Forecasting: This algorithmic forecast is for stocks with recently reported insiders’ transactions. An “insider” is any person who possesses at least one of the following:
- access to valuable non-public information about a corporation (for example a company’s directors and high-level executives)
- ownership of more than 10% of the company’s equity

Package Name: Insider Trades
Recommended Positions: Long
Forecast Length: 1 Year (7/3/25 – 7/3/26)
I Know First Average: 102.11%


The algorithm correctly predicted 8 out of 10 the suggested trades in the Insider Trades Package for this 1 Year forecast. The prediction with the highest return was SIF, at 480.14%. The suggested trades for MTSI and REAL also had notable 1 Year yields of 130.5% and 120.99%, respectively. This algorithmic forecast package presented an overall return of 102.11% versus the S&P 500’s performance of 20.17% providing a market premium of 81.94%.
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.










