India Mid Cap Stocks Based on Deep Learning: Returns up to 12.89% in 3 Days
India Mid Cap Stocks
This India Mid Cap Stocks forecast 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 Indian mid cap stocks for the long position
- Top 10 Indian mid cap stocks for the short position
Package Name: By Country – India Mid Cap Stocks
Recommended Positions: Long
Forecast Length: 3 Days (6/30/26 – 7/3/26)
I Know First Average: 3.72%


In this 3 Days forecast for the By Country – India Mid Cap Stocks Package, there were many high performing trades and the algorithm correctly predicted 8 out of 10 trades. AEGS.NS was our best stock pick with a return of 12.89%. RATE.NS and USBL.NS had notable returns of 8.87% and 6.14%. The package itself saw an overall return of 3.72%, providing investors with a 2.37% premium above the S&P 500’s return of 1.35% 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.










