Signal Trading (SGNL) ICO 評価と詳細

2017年9月28日

2017年11月15日

100% 完成

募集资金 - 无数据

10 000 000.00 SGNL

past

1 SGNL

=

0.25 USD

令牌详细信息

断续器

SGNL

接受的货币

ETH, BTC, LTC, XRP

额外细节

分类

Cryptocurrency, 其他

关于 Signal Trading

通过分析每个用户的自定义交易者资料，当适合的硬币时，应用程序会定期提醒交易者他们的标准被认为是强有力的买入或卖出潜在。与其他可能只是提醒用户的应用程序不同在市场异常的量变化中，Signal将提供一个详细说明了哪些指标和技术分析工具用于发出警报信号，并提供基于订阅的信号允许交易者访问特权交易的服务其他地方无法提供的统计数据和指标。

特征

通过分析每个用户的自定义投资者资料，应用程序将定期提醒交易者何时适合的硬币他们的标准被认为是强烈的买入潜在。不像其他应用程序可能只是提醒用户在市场上不寻常的音量变化，信号将提供一个详细描述哪些指标和技术分析工具被用来发出警报的信号，并提供订阅允许交易者进入特权交易的服务统计数据和指标在其他地方不可用。

技术信息

技术细节： Signal是一个移动和Web应用程序，旨在帮助每一个数字货币交易者，从需要介绍的新交易者到加密货币的世界到最精明和消息灵通投资者。源代码：＆nbsp; 代码不可用。开发者证明：公共团队

％name％Roadmap

Q4 2016

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

Q1 2017

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

Q3 2017

Product development has been started.

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.

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

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.

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.

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.