Signals Network

in #signalsnetwork7 years ago (edited)

Introducing Signals: Marketplace for building, training, and monetising crypto trading strategies
The crypto currency market is booming and becomes more and more complex. At the same time, more and more people are becoming cryptotraders. While machine learning methods can help a great deal not only in decision making but also in market monitoring, 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 about the potential of machine intelligence. Therefore we want to connect data science developers with cryptocurrency traders researching and build a new crypto trading platform that would be easy to use for everyone.
In other words we’re building a platform for building, training and monetising crypto trading strategies with a user friendly interface, accessible to anyone without any programming skills needed. Through Signals we want to connect cryptotraders with data science developers.
Signals will offer a simple UI for assembling indicators and creating signals to optimise profit on various cryptocurrency exchanges. It’s a place where you can build strategies from specific trading indicators, ranging from technical analysis to crowd wisdom insights, train it on historical data, and monetize your strategy by offering copytrading.
All this is possible thanks to sophisticated machine learning techniques developed by data science specialists in the Czech Republic and ties to decentralised supercomputers. We see the potential of these technologies and want to integrate our platform with them more in the future. We want to give people accessible interface able to run complex computations within short time and under a small budget.
Signals is currently preparing for a Signals (SGN) token presale which will start November 15th. The SGN token is a standard ERC20 token and can be stored and transferred using the generic Ethereum wallet. !
https://signals.network/#how-it-works

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