Dow Jones Industrial Average Predictions and FinBrain’s Algorithms

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

AAPL Apple Inc.
AXP American Express Company
BA The Boeing Company
CAT Caterpillar Inc.
CSCO Cisco Systems Inc.
CVX Chevron Corporation
DIS The Walt Disney Company
DWDP DowDuPont Inc.
GS The Goldman Sachs Group Inc.
HD The Home Depot Inc.
IBM International Business Machines Corporation
INTC Intel Corporation
JNJ Johnson & Johnson
JPM JPMorgan Chase & Co.
KO The Coca-Cola Company
MCD McDonald’s Corporation
MMM 3M Company
MRK Merck & Co. Inc.
MSFT Microsoft Corporation
PFE Pfizer Inc.
PG The Procter & Gamble Company
TRV The Travelers Companies Inc.
UNH UnitedHealth Group Incorporated
UTX United Technologies Corporation
V Visa Inc.
VZ Verizon Communications Inc.
WBA Walgreens Boots Alliance Inc.
WMT Walmart 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.

Structure of a Basic Long-Short Term Memory Cell
Structure of a Basic Long-Short Term Memory Cell

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.

Best Regards,

FinBrain Technologies, 2018
[email protected]

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