Signals
Marketplace of data science powered 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.
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.
Signals aims to disrupt the cryptotrading industry by lowering the barrier to creating algorithmic trading models, even for users without any programming skills. Signal mission is to open crypto trading to anyone by empowering users with smart tools for creating automated trading strategies. Signals is a playground for those who want to experiment with different trading models and machine learning techniques, as well as building and optimizing strategies and sharing them with others. After closing multiple fruitful partnerships, team have released an alpha version of Signals, which has already more than 17,000 registered users.
Signals is based on a modular framework written in C#, which developed for monitoring cryptocurrencies movements by using various combinations of indicators. Now, building this framework, where developers can monetize their indicators.
The alpha version of the Signals Marketplace, in which testers can try out the first version of the Signals Strategies Marketplace.
Learn more about the alpha version of the Signals Marketplace and become an alpha tester: https://blog.signals.network/how-to-use-the-first-version-of-the-signals-marketplace-21af5a90130b
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.
Signals aims to disrupt the cryptotrading industry by lowering the barrier to creating algorithmic trading models, even for users without any programming skills. Signal mission is to open crypto trading to anyone by empowering users with smart tools for creating automated trading strategies. Signals is a playground for those who want to experiment with different trading models and machine learning techniques, as well as building and optimizing strategies and sharing them with others. After closing multiple fruitful partnerships, team have released an alpha version of Signals, which has already more than 17,000 registered users.
Signals is based on a modular framework written in C#, which developed for monitoring cryptocurrencies movements by using various combinations of indicators. Now, building this framework, where developers can monetize their indicators.
The alpha version of the Signals Marketplace, in which testers can try out the first version of the Signals Strategies Marketplace.
[Read more about Roadmap on page 18 in our whitepaper:]
Whitepaper
Precision powered by data science
Backed by vast amounts of historical data and computational power, machines can make precise and complex decisions, assimilating many variables.
Lightning speed decisions
The near-unlimited computational power of machine intelligence outperforms the speed of human decision making and execution.
Big data insights
Machines are able to cut through unstructured data noise and find patterns in terabytes of data streams that would give a human cognitive overload.
Backed by vast amounts of historical data and computational power, machines can make precise and complex decisions, assimilating many variables.
The near-unlimited computational power of machine intelligence outperforms the speed of human decision making and execution.
Machines are able to cut through unstructured data noise and find patterns in terabytes of data streams that would give a human cognitive overload.
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