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FinBrain’s DOW30 Prediction Performance – 03-Jun-2019 – 14-Jun-2019
FinBrain’s AI algorithms have yielded 100% signal prediction accuracy for Dow Jones Industrial Average stocks within 03-Jun – 14-Jun time period. FinBrain’s algorithms collect and analyze gigabytes of financial data for more than 6000 Stocks, Currency Pairs, Cryptocurrencies and ETFs on a daily basis.… Read the rest
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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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ReWork’s Interview with Ahmet Salim Bilgin, Founder of FinBrain Technologies
This Q&A was originally posted on: https://www.re-work.co/blog/interview-with-ahmet-salim-bilgin-finbrain-technologies By Hollie Jaques, International Event Manager – RE•WORK August 22, 2018 Historical financial market data is the time series data from the past. It is one of the most important and the most valuable components for speculating about future prices.… Read the rest
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FinBrain Updates and Announcements – 31.07.2018
FINBRAIN TECHNOLOGIES 31.07.2018 Major Updates on FinBrain FinBrain now updates the predictions for the tickers under S&P500, NASDAQ and NYSE markets on a DAILY BASIS, instead of weekly. We have removed the 15-day limit for trials, and our members can now see 5 predictions for every market, for an UNLIMITED time.… Read the rest
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Neural Networks and FinBrain’s NYSE Index Tickers Prediction Performance – 07/02/2018-07/09/2018
FinBrain Technologies develops high performance and high precision Deep Learning Technologies for analyzing and predicting the price movements of Financial assets. We constantly improve our algorithms and add new features to our services. FinBrain collects and processes vast amounts of Financial Data for every single asset listed under its services.… Read the rest
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FinBrain’s Foreign Exchange Prediction Performance – 07/05/2018-07/11/2018
FinBrain’s Foreign Exchange packages provide Deep Learning powered future predictions for 264 currency pairs against AUD, CAD, CHF, EUR, GBP, NZD, TRY, USD, ZAR Base Currencies. FinBrain’s predictions for the FOREX Market are updated on a daily basis, which enables the traders to reach the most up-to-date information and gives them the opportunity to enter a…
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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 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’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