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.
The crypto currency market is booming and becomes more and more complex. At the same time, more and more people are becoming cryptotraders. Most people nowadays rely on nothing but their gut. They’re big fans of crypto trading, however they’re not gamblers. They don’t want to rely on human emotions and cognitive bias when they know that machine intelligence can solve this problem. Therefore they want to connect data science commmunity with developers and cryptocurrency traders and build a platform that would be easy to use for anyone.
Signals is based on modular framework written in C# which we developed for monitoring cryptocurrencies movements by using various combinations of indicators. Now, they're building this framework where developers could monetize their indicators. They’re close to finishing an alpha version of the Signals strategy marketplace and we plan to release it before the main token sale.
The only truly competitive is Enigma. Unlike Enigma, we would like to connect data scientists with crypto traders through a visual platform where even people which are not able to code could assemble their trading strategies.
They also see big future in blockchain technology, and that's why they will integrate existing solutions for prediction markets and decentralized supercomputers right into Signals.
PRESALE cap of $500 000 USD achieved in 18 days! ICO will be in January 2018, the hard cap of the crowdsale is $24 500 000 USD (total $25 000 000 USD).
Loads of people well known in crypto community expressed their interest and intention in investing during the presale/ICO since they consider Signals platform as a revolutionary tool that can change the way people trading FOREVER!
Do not forget to contribute! :) https://signals.network/join/1376C9
Main Page — https://signals.network
Telegram — https://t.me/signals_network
Whitepaper — https://cdn.signals.network/docs/Signals-Whitepaper.pdf
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