ourTell

ourTell

Created using Figma
Created using Figma
ourTell provides multifaceted cryptocurrency analysis - Posts and messages from regular interactions on social media channels and groups are minded and analysed by thousands of sentiment analysts in an optimised environment. Results are fed into an iterative machine learning model which encapsulates historical data from sentiment analysis, market trends, factors and outcomes.
Apr 1, 2018
May 1, 2018
100% completed
Raised funds - no Data
past
Token Details
Ticker
OTL
Accepted Currencies
ETH
Additional Details
KYC
Yes

About ourTell

We provide a next generation, decentralized, iterative sentiment analysis for optimal cryptocurrency trading.

We use a system called Sentiment Intelligence which is a combination of sentiment analysis from real certified analysts, big data and machine learning in order to create an artificial intelligence platform which allows for market predications with near perfect information.

Financial markets are turbulent and require a huge vat of knowledge to even begin trying to predict outcomes. This is the case in the cryptocurrency market and is often even more severe due to the casual and uninformed nature of many traders.

Markets are moved in the cryptocurrency and blockchain sphere largely due to public perception. This is often left unknown in analysis and predictions. With a few common issues arising, sentiment data is:

  • Severely under sourced
  • Without context
  • Misinterpreted
  • Coerced/Inauthentic

Our Sentiment Intelligence platform combines all aspects of traditional market analysis and unifies it with unparalleled sentiment analysis. Millions of messages are sent in cryptocurrency groups every day, these messages are minded and analyzedby real humans. This helps on two fronts. Firstly, all data pieces are completely authentic and have occurred organically without any external party interfering, this allows for the most valid and genuine sentiment analysis to occur. Secondly, using real sentiment analysts instead of purely using machine learning allows us to ensure our model continually becomes more accurate and begins to connect the data points and how they interact with each other. Many of the common problems listed above occur when only using a ML model.

Roadmap

  • July 2016

  • Product Idea Initial idea first conceived
  • Nov 2016 Scraping

  • Basic data capture and scraping implemented across exchanges and Telegram
  • February 2017 Sentiment Analysts

  • 50 Analysts added to review data after passing examination to determine qualification
  • March 2017 Analysts Platform

  • Beta platform for analysts to review data in an optimised and efficient fashion
  • Read More
  • April 2017 Additional Analysts

  • 200+ analysts on the platform
  • May 2017 ML/AI

  • Machine Learning implemented with Sentiment Analysis for predictions
  • July 2017 Fund Strategy Testing

  • Implemented tests to run over the next year and determine best fund strategy and returns
  • April 2018 Token Sale

  • Public and private token sale
  • May 2018 Prediction Platform

  • Open the prediction platform to OTL holders
  • July 2018 Fund Investment

  • Fund investment open to OTL holders
  • Q4 2018 Open Fund Investment

  • Allow externals to invest into the Sentiment Intelligence fund

Team

Verified 0%

Attention. There is a risk that unverified members are not actually members of the team

CEO, Co-Founder
unverified
CTO, Co-Founder
unverified
Haneul Park
CIO
unverified
Michael Kim
Full-stack Developer
unverified
Full-stack Developer
unverified
Vincent Park
Data Scientist
unverified
Jackie Gang
Data Scientist
unverified
Data Scientist
unverified
Paul Kim
Data/Trade Analyst
unverified
Marketing Manager
unverified

Advisors

Verified 0%

Attention. There is a risk that unverified members are not actually members of the team

Mo Ahmadi
Tech Evangelist, Capital Expert
unverified
Virat Naidoo
Blockchain Investor, Growth Specialist
unverified
Khaleel Osman
Venture Capital, AI/ML Investor
unverified

N/A

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