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  • MARKET CAP $288B
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The Signal Application project is a revolutionary cryptocurrency trading tool that aims to arm the everyday trader with the same data multinational corporations routinely pay millions of dollars to attain.
Website: Visit
White paper: Read
ICO Time: 27 Mar, 2018 - 9 Jun, 2018
Token Info
Ticker: SGNL
Platform: Scrypt
Available for sale: 440,000,000 SGNL
Pre-sale Price: 1 SGNL = 0.22 USD
Accepting: BTC, ETH, XRP, LTC
Soft cap: 12,000,000 USD
Social Media
  • 1

    Q4 2016

    The first concept popped upp in the visionary minds of the founders.

  • 2

    Q1 2017

    The core of the team was formed and shared numerous brainstorming sessions.

  • 3

    Q3 2017

    Product development has been started.

  • 4

    Q1 2018

    InitialCoin Offering (Phase 1 & 2) concludes. Release of alpha version of application. Users can register accounts and deposit SGNL Coins into their account wallet. SGNL Coins will be listed on exchanges. Team expansion.

  • 5

    Q3 2018

    Signal Application project is fully launched (mobile application), including pay-per-signal push notifications. Individual coin and exchange pages are available, and amount of coins/exchanges tracked will increase. Cryptocurrency news tab and new coin alerts implemented

  • 6

    Q1 2019

    Release of web client with desktop notifications. Subscription-based services become available, including pages related to real-time advanced analytics of coins. Increasingly customizable user interface. Implementation of news and social feeds to the algorithmic trading bot to increase accuracy of signals and track potential movements sooner.

  • 7

    Q3 2019

    Add more exchanges and coins to be tracked by the application, with the goal of having every coin with market capitalization above $1 million, and every exchange with regular volume. Extend trading analytics available. Historical data models with information gathered over a year of trading on the application allow more accurate and safe prediction models to be constructed.

  • 8

    Q4 2019

    Further implementation of machine learning to optimize algorithmic trading and provide the most accurate alerts possible. With over a year of data and alerts to analyze, optimization of signals will lead to even more accurate and timely notifications.

Emal Safi


Bobby Barone

Business Analyst

Hamza Mumtaz

Lead Developer

Charles Petchsy

Security Specialist

Justin Dizazzo

Marketing Manager

Justice Otto

Business Development

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