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Signal

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3.6
Total Rate

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.
General
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
Financial
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

Co-founder

Bobby Barone

Business Analyst

Hamza Mumtaz

Lead Developer

Charles Petchsy

Security Specialist

Justin Dizazzo

Marketing Manager

Justice Otto

Business Development

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