AI-Enabled Financial Prediction Technologies
Here is a caption from a brand new feature on FinBrain Terminal: App Store Ratings and Review Counts Dataset
SYS – Sysco Corporation, DGX – Quest Diagnostics and FIS – Fidelity National Information Services apps have seen the highest percentage increase in their app scores compared to the last week.…
Read the rest
Hello from FinBrain Technologies,
Our Deep Learning algorithms keep exhibiting remarkable prediction performances under changing market conditions for different asset classes. We collect and analyze historical pricing, technical and sentiment data for stocks, currency pairs, commodities and exchange traded funds to predict the future price movements.…
Read the rest
There has been quite a debate about the stock market’s predictability over many decades. Stock analysts, researchers, fund managers, investors and traders have both expressed their thoughts and concerns about what determines the stock market movements.
Efficient Markets Hypothesis
Efficient Markets Hypothesis(EMH) represented the idea that the share prices reflect all information and consistent alpha generation is impossible.…
Read the rest
Hello from FinBrain Technologies !
We are an Artificial Intelligence software development company whose engineers and developers work hard to help the traders in outperforming the stock markets. We have developed specific data collection algorithms, which parse through websites and retrieve data from Financial APIs.…
Read the rest
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
FinBrain’s State of the Art Deep Learning Algorithms
FinBrain Technologies develops and applies advanced time series data processing, convex optimization techniques, deep neural network models and portfolio optimization algorithms to financial datasets. Thanks to FinBrain Team’s background in Engineering, Mathematics, Statistics and Signal Processing, a set of different methodologies have been merged together to obtain the best prediction accuracy for Stocks, World Indices, Commodities, Foreign Currencies and ETFs.…
Read the rest
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
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
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 the time-series features of the large Financial datasets, and extract the correlations, hidden features and patterns.
