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FinBrain Technologies at AI in Finance Summit, New York
FinBrain Technologies has attended the AI in Finance Summit which was held on Sep. 6-7, 2018 in New York. The purpose of the event was to bring the Data Scientists, Machine Learning Engineers and the people from Startup Companies and Large Financial Institutions who work on Artificial Intelligence Technologies for Finance, together.… Read the rest
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FinBrain’s S&P500 Index Tickers Prediction Performance – 07/23/2018-08/03/2018
FinBrain Technologies models the future price movements of the Financial Assets listed under S&P500, NASDAQ, NYSE Indexes as well as Cryptocurrencies and Foreign Currencies. We provide 10-Day Ahead predicted close price values for all tickers listed under the given indices. We do not simply provide BUY or SELL signals, instead our Artificial Intelligence Algorithms learn…
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FinBrain’s S&P500 Index Tickers Prediction Performance – 06/25/2018-07/09/2018
FinBrain Technologies is one of the pioneers in developing Deep Learning technologies for analyzing vast amounts of financial data to generate future projections of the assets. Our customers are able to reduce the time spent on analyzing the charts, reading the news, detecting the trends etc.… Read the rest
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FinBrain’s NASDAQ Index Tickers Prediction Performance – 06/18/2018-06/29/2018
FinBrain continues to analyze and predict the movements of 6000 Financial Instruments. Predictions for all stocks under S&P500, NASDAQ and NYSE Indexes are available in FinBrain’s Monthly, 3-Monthly and 6-Monthly subscriptions packages. Please note that the prediction packages for GDAX, FTSE, NIKKEI, SSE and HANG SENG Indexes are getting ready for the use of our…
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FinBrain’s S&P500 Index Tickers Prediction Performance – 06/04/2018-06/15/2018
FinBrain Technologies analyzes more than 6000 Financial Instruments using Deep Learning algorithms. Vast amounts of data for every single instrument is processed and analyzed by Artificial Neural Networks. The time series behaviors of stocks, cryptocurrencies and foreign currencies are extracted, modeled and the Neural Network learning process is conducted.… Read the rest
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FinBrain Technologies – Deep Learning Algorithmic Trading Bot
We would like to demonstrate FinBrain Technologies’ new Deep Learning Enabled Algorithmic Trading Bot. In the video, we will show you how our Trading Bot performs over the time, by backtesting it between the time period Nov 1st , 2017 and April, 3rd 2018 for COTY and UAL stocks listed under NYSE.… Read the rest
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FinBrain’s NYSE Stock Prediction Performance – 03/05/2018 – 03/16/2018
FinBrain Technologies has started its journey with the aim of providing the most precise future predictions for Financial Instruments, to its customers. FinBrain’s Development Team has worked long hours for months, developing and backtesting Deep Learning Algorithms and Mathematical Models. Implementing complex algorithms to Financial Prediction area has always been a tough challenge, however FinBrain’s Engineers…
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FinBrain’s NASDAQ Stock Prediction Performance – 03/05/2018 – 03/16/2018
FinBrain Technologies has successfully developed a Deep Learning algorithm, which is modeling the working principles of the human brain. By mimicking the learning concept of the humans and combining it with the advanced mathematical models, we are now able to analyze the Financial Time series data way better than ever.… Read the rest
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FinBrain’s SP500 Stock Prediction Performance – 05.03.2018 – 16.03.2018
FinBrain Technologies has developed a sophisticated Deep Learning algorithm to provide its customers with the most precise future predictions of Stocks, Commodities, Foreign Currencies, Indexes, ETFs and Cryptocurrencies. The financial time series data has non-linear dynamics, and can only be analyzed with non-linear methods.… Read the rest
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FinBrain’s NASDAQ Stock Prediction Performance – 26.02.2018 – 09.03.2018
FinBrain Technologies has developed a sophisticated Deep Learning algorithm to provide its customers with the most precise future predictions of Stocks, Commodities, Foreign Currencies, Indexes, ETFs and Cryptocurrencies. The financial time series data has non-linear dynamics, and can only be analyzed with non-linear methods.… Read the rest