Stocks Forecast Using Neural Networks: Up To 35.22% Return In 3 Months
Stocks Forecast Using Neural Networks
This forecast is part of the “Top 10 Stock Picks” package, as one of I Know First’s algorithmic trading tools. The full Top 10 Stock Picks forecast includes a daily predictions for a total of 20 stocks with bullish and bearish signals:
- top ten stocks picks to long
- top ten stocks picks to short
- S&P 500 forecast
Package Name: Top 10 Stocks
Forecast Length: 3 Month (5/21/2015 – 8/21/2015)
I Know First Average: 23.21% (Short)
Get the “Top 10 Stocks”-Package
All the 10 stocks included in the Top 10 Stocks forecast from 05/21/15 decreased in accordance with the algorithm’s prediction for the 3 month time horizon. The top performing stock was Williams Partners, L.P (WPZ) with immense return of 35.22%. Guangshen Railway Co. Ltd. (GSH) and Panasonic Corporation, (PCRFY) also posted outstanding returns of 34.44% and 29.32% during that time period, offering large returns to investors. Investors using the I Know First service who invested evenly in these stocks would have outperformed the S&P 500 average of -7.29% by 30.5% during the predicted time horizon.
The American based company, Williams Partners, is a provider of large-scale infrastructure connecting the growing supply of North American natural gas and natural gas products to growing global demand for clean fuels and feedstock. The company’s stocks have been performing poorly a of late mainly due to thier poor earnings report and the fall in the oli market. Within the company’s earnings report, the company missed its earnings before interest, tax, depreciation, and amortization (EBITA) by a massive margin. for the second quarter of 2015, consensus estimates were ~$1,013 million while the EBITDA stood at $829 million—a miss of 18.18%.
Algorithmic traders utilise 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 algorithmic traders.
