High Volume Stocks Based on Machine Learning: Returns up to 100.94% in 1 Year

High Volume Stocks

The High Volume Low Price Stocks Package is designed for investors and analysts who need predictions for stocks currently trading between $5 and $10, and with an average daily trading volume above one million dollars. It includes 20 stocks with bullish and bearish signals and indicates the best shares to buy and sell:

  • Low Price High Volume Stocks Top 10 stocks for the long position
  • Low Price High Volume Stocks Top 10 stocks for the short position


Package Name: Low Price High Volume Stocks
Recommended Positions: Long
Forecast Length: 1 Year (1/1/2019 – 1/2/2020)
I Know First Average: 44.8%
High Volume Stocks
High Volume Stocks chart

During the 1 Year forecasted period several picks in the Low Price High Volume Stocks Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. STM was the top performing prediction with a return of 100.94%. Additional high returns came from SBS and TAL, at 85.63% and 85.27% respectively. This algorithmic forecast package presented an overall return of 44.8% versus S&P 500’s performance of 29.96% providing a market premium of 14.84%.

STMicroelectronics N.V. (STM), together with its subsidiaries, designs, develops, manufactures, and markets semiconductor products, and subsystems and modules worldwide. The company offers a range of products, including discrete and standard commodity components, application-specific integrated circuits, full-custom devices and semi-custom devices, and application-specific standard products for analog, digital, and mixed-signal applications, as well as silicon chips and smartcards. It also provides subsystems and modules, including mobile phone accessories, battery chargers, and ISDN power supplies for the telecommunications, automotive, and industrial markets; and in-vehicle equipment for electronic toll payment. The company sells its products through its distributors and retailers, as well as through sales representatives. STMicroelectronics N.V. (STM) was founded in 1987 and is headquartered in Geneva, Switzerland.

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.