Dow Jones Industrial Average Predictions
We are happy to announce that the AI Enabled Predictions for the stocks listed under Dow 30 Index are now available on the Markets Page on FinBrain’s website. In addition to our S&P 500, NASDAQ, NYSE, Crypto and Foreign Currency prediction services, we have enabled Dow predictions upon our customers’ request.
The list of the 30 large, publicly owned companies based in the United States listed under Dow Jones Industrial Average is given below:
List of Dow 30 Stocks
|AXP||American Express Company|
|BA||The Boeing Company|
|CSCO||Cisco Systems Inc.|
|DIS||The Walt Disney Company|
|GS||The Goldman Sachs Group Inc.|
|HD||The Home Depot Inc.|
|IBM||International Business Machines Corporation|
|JNJ||Johnson & Johnson|
|JPM||JPMorgan Chase & Co.|
|KO||The Coca-Cola Company|
|MRK||Merck & Co. Inc.|
|PG||The Procter & Gamble Company|
|TRV||The Travelers Companies Inc.|
|UNH||UnitedHealth Group Incorporated|
|UTX||United Technologies Corporation|
|VZ||Verizon Communications Inc.|
|WBA||Walgreens Boots Alliance Inc.|
|XOM||Exxon Mobil Corporation|
You can start utilizing our predictions for the 30 stocks listed under Dow Jones 30 Index, and maximize your returns!
How Do FinBrain’s Algorithms Work?
Our algorithms analyze large amounts of historical data related to every single stock using Long-Short Term Memory(LSTM) cell components of the Recurrent Neural Networks(RNN). These special type of artificial neural networks yield the best performance on understanding the relations between the vast amount of datasets, by incorporating memory component and extracting correlations. Understanding the time series dependencies and how the inputs(stock price data, technical indicators, market sentiment data) affect the outputs(stock close prices) are crucial to predict where the stock prices will move in the next time frame.
The approach that we have mentioned above, outperform all other known stock forecasting models such as Fundamental Analysis and Technical Analysis. The Deep Learning algorithms determine the weights to be assigned on the input components by minimizing a cost function. Creating the right network topology and optimizing large amount of network weights is a computationally hard task. The inputs to our artificial neural network models can be given as:
- Stock Open, High, Low, Close Prices
- A number of different Technical Indicators
- Market Sentiment Data obtained by utilizing Natural Language Processing(NLP) Tools
Feeding more than 10 different input features of thousands of time steps for more than 6000 financial assets, performing calculations and obtaining the future price predictions is not an easy task. FinBrain’s customers trade a wide range of assets including US Stocks, Foreign Currency Pairs, Cryptocurrencies and Commodities. FinBrain runs its algorithms on high performance Graphical Processing Units(GPU) to ensure the accuracy and timeliness of the prediction services.
With the help of well structured algorithms created by our engineers and powerful hardware, the predictions on FinBrain’s website are updated on a daily basis, and are available to our users hours before the markets open.