India Mid Cap Stocks Based on Deep Learning: Returns up to 48.24% in 1 Month
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: 1 Month (12/7/25 – 1/7/26)
I Know First Average: 5.09%


For this 1 Month forecast the algorithm has successfully predicted 6 out of 10 movements. HCPR.NS was the highest-earning trade with a return of 48.24% in 1 Month. KEIN.NS and JBCH.NS also performed well for this time horizon with returns of 9.0% and 5.9%, respectively. The By Country – India Mid Cap Stocks package had an overall average return of 5.09%, providing investors with a premium of 5.97% over the S&P 500’s return of -0.88%.
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.










