India Mid Cap Stocks Based on a Self-learning Algorithm: Returns up to 28.63% 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 (9/3/25 – 10/3/25)
I Know First Average: 5.84%


The algorithm correctly predicted 6 out of 10 the suggested trades in the By Country – India Mid Cap Stocks Package for this 1 Month forecast. The highest trade return came from RATE.NS, at 28.63%. KIOC.NS and JBMA.NS followed with returns of 25.19% and 11.67% for the 1 Month period. The package’s overall average return was 5.84%, providing investors with a 4.53% premium over the S&P 500’s return of 1.31% during the same 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.










