Dataset Builder: NLP/NLU context-controlled correlation matrices for unsupervised learning

Create unique equity, cryptocurrency, ETF & OTC datasets

Engineer custom feature vectors

Explore trends & generate alpha

Option 1: Dataset production platforms

Option 2: Dataset build request

Step 1.



Real-time Search Trends: Google, Bing, Facebook, Twitter Emerging Technologies Bitcoin, price relationships Chemicals Pharmaceuticals Context-controlled Sentiment Top Gainers, Top Losers Metals Foods Human Genes Real Estate Commodities Global Geography, Cities Botanicals, Phytochemicals, Micronutrients Custom

Step 2.



Build Request



Option 3: Create a dataset

Rows contain stock symbols. Columns contain scores that represent known and hidden relationships between stocks & data streams below.





Step 1.



Equity type: Nasdaq, NYSE & OTCBB stocks Stocks (S&P 500) ETFs Options Commodities Currencies Shanghai Nikkei Hang Seng TSEC FTSE EURO STOXX CAC 40 BSE IBOVESPA - Request Custom Index - Data context: S&P 500 + General Data S&P 500 + Genomics & Molecular Biology S&P 500 + Chemicals S&P 500 + GeoPhysics Nasdaq, NYSE & OTCBB + General Data Nasdaq, NYSE & OTCBB + Genomics & Molecular Biology Nasdaq, NYSE & OTCBB + Chemicals Nasdaq, NYSE & OTCBB + GeoPhysics - Request Custom Data Context -

Step 2.



Enter 1 to 5 features, concepts or keywords:

example: example: Batteries, Bioengineering, Graphene, Blockchain, Machine Learning

Step 3.



Build Request

contain stock symbols.contain features you choose which can be concepts, trends, entities or labels of any kind. Dataset generation is based on public & private databases in addition to human curation and market research.contain stock symbols.contain scores that represent known and hidden relationships between stocks & data streams below.