Signals ICO details
Start Date: 2018-3-12
End date: 2018-4-9
- Category: Artificial Intelligence, Big Data, Cryptocurrency, Investment, Platform, Software
- Token: SGN
- Platform: Ethereum
- Type: ERC20
- Initial price: 0.36 USD
- Bonus: Bonus starts from 15% and decreases linearly.
- Accepting: ETH
- Soft cap: 2,000,000 USD
- Hard cap: 18,500,000 USD
- Site: Signals site
- Twitter: https://twitter.com/signals_network
- Facebook: https://www.facebook.com/signals.network/
- Reddit: https://www.reddit.com/r/SignalsNetwork
- Bitcointalk: https://bitcointalk.org/index.php?topic=2207141.0
- Medium: https://blog.signals.network/
- Telegram: https://t.me/signals_network
Signals Platform is a place where anybody can create fully customizable trading robots with no advanced technical knowledge required.
There has been an explosion of crypto assets in 2017, with trading volumes topping billions of dollars. Crypto offers many advantages for traders over traditional assets, in that they are decentralized, borderless and can be traded around the clock. While this opens the doors to practically everyone on the planet, it also poses great risks due to lack of regulation, liquidity and oversight. There are far too many stories of traders who lose it all because of mistakes or a shortage of emotional fortitude necessary to stick to their trading plan.
With the advent of powerful computational technology, the financial sector and trading industry has been transformed through the replacement of traditional auction-to-computer transactions in the early 70’s with algorithmic trading systems. Machines take emotions out of trading and make it into a pure numbers game, cutting through the noise of trading signals and processing huge data sets that a normal human never could. They also never sleep, running 24/7 once they have been properly set up. What’s more, they can execute infinitely faster than a human, with decreases in lag time by microseconds leading to substantial profits.
Pairing these two technologies is a perfect match. Blockchain tech and crypto are expected to continue their growth for the next decade, and traders should have great advantages when it comes to trading for a long time coming.
Algorithmic trading is pretty simple, in essence. First, you have to pick out a data set which serves as the very foundation for further analysis. You then need to choose the different types of indicators which act as the lens to view the data. Lastly, a strategy needs to be designed around the specified way of viewing the data to determine how you will trade it. All of these inputs eventually lead to a robust algorithmic trading strategy, ready to be deployed for testing and use.
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.
In order to understand Signals, let’s take a look at the different marketplaces, what they are made up of, and how they are used.
Signal Token (SGN)
The Signal Token will be an Ethereum blockchain based ERC 20 token. All paid features available on the Signals Platform will be accessible exclusively using Signal tokens.
Signals’ business model is based on two main revenue streams.
First, Signals charges a fee on each purchase in the Signals marketplaces. This includes:
- Purchases of user-created indicators in the Indicator Marketplace
- Purchases of data streams in the Data Marketplace
- Renting of user-made strategies for copy trading in the Strategies Marketplace
- Using premium machine learning features in order to assemble and train trading strategies.
The second revenue stream comes from the Signals cloud solution for deploying strategies.
A subscription model will be implemented, with several tiers to choose from based on the amount of strategies used.