The crypto currency market is booming and is becoming increasingly complex. At the same time, more and more people are becoming cryptotraders. Most people nowadays rely on nothing but their gut. We’re big fans of crypto trading; however, we’re not gamblers. We don’t want to rely on human emotions and cognitive bias when we know that machine intelligence can solve this problem. Therefore we want to connect the data science commmunity with developers and cryptocurrency traders and build a platform that is easy for anyone to use. Now that's why the signal project is here. To make life easy in cryptocurrency
INTRODUCTION
WHAT IS SIGNALS?
Signals is an easy to use platform where you can assemble crypto trading strategies driven by machine learning - with zero programming skills needed. You can also offer your strategy for copytrading or discover other successful strategies.
Signals is based on a modular framework written in C#, which we developed for monitoring cryptocurrencies movements by using various combinations of indicators. Now, we're building this framework, where developers can monetize their indicators. We've released the alpha version of the Signals Marketplace, in which testers can try out the first version of the Signals Strategies Marketplace.
MISSION
Our mission is to empower crypto traders with state of the art algorithms from the data science community, which will allow them to optimize their profits. The Signals Platform provides these tools in a user-friendly way. From advanced charting and classic technical indicators to complex statistical models, crowd wisdom based inputs and machine learning algorithms based on media monitoring and sentiment analysis.
HOW IT WORKS
The Signals platform works this very same way in that we have several marketplaces, where data, indicators and strategy inputs can be chosen and then assembled into an automated trading strategy using the Signals Strategy Builder. The whole process can be completed using our visual building tool or in code, for those who know Python. We’re designing the whole thing so anyone with a trading idea can design, make, backtest and deploy it in no time at all.
WHAT MAKES THIS PROJECT UNIQUE
The Signals Platform is a place where anybody can create fully customizable trading robots with no advanced technical knowledge required. The uniqueness is by providing sophisticated crypto trading algorithms in a friendly way. Our Signals Visual Builder will allow you easily combine indicators driven by machine learning and create strategies to optimize your profit.
Road Map
Signal token (SGN)
The SGN token empowers its holders to assemble their own crypto trading models, which are based on premium indicators developed by the data science community. With SGN tokens, holders can perform complex machine learning experiments using super computer on historical data, as well as rent and copytrade other successful strategies in the Signals marketplace.
Token Sale Terms
50% of all SGN tokens are offered for sale in a two-phase token sale:
- The Token Presale, which started on November 22, 2017, has been successfully completed. All of the SGN tokens reserved for the Token Presale phase have been purchased by our supporters, totaling over $500,000.
- The main SGN Token Sale will start on March 12, 2018. The success threshold will be set at $2M (soft cap) and the goal at $18M (hard cap).
The SGN Token Sale starts on March 12, 2018, at 14:00 UTCRegister for SGN Token Sale
20%Community50%Token Sale2%Bounty Program10%Advisors & Partners18%Company ReserveSoft cap$2 millionHard cap$18.5 millionSGN token typeERC20 20%20%
Community
A substantial part of SGN tokens is reserved for developers and data science community as a reward for developing and adding indicators to our marketplace.50%50%
Token Sale
By the end of 2017, we sold SGNs in a total value of over $0.5M in the Token Presale. The main Token Sale, targeting a hard cap of $18M, will be launched on March 12, 2018.2%2%
For more information visit the links below
Website: https://signals.network/
Whitepaper: https://cdn.signals.network/docs/signals-whitepaper-en.pdf
Facebook: https://www.facebook.com/signals.network/
Twitter: https://twitter.com/signals_network
Telegram: https://t.me/signals_network