In 2017 crypto assets were booming and the volumes traded range in billions of dollars. Crypto has the advantages over traditional assets in that it’s decentralized, operates around the clock and it is global. It makes it attractive to many traders as different world economies do not dictate how the system becomes governed. While this would sound like utopia for a first timer, the system is not without its flaws.
The decentralized nature of crypto trading means that there are no regulations, oversight or liquidity, which can prove to be problematic. There are many stories in the sphere about a trader who’ve lost all their assets due to human errors, or those who’ve been unable to enact their trading plan after having the misfortune of incurring losses.
Computers have changed how the trading industry and financial sector operate. It has shifted to algorithmic trading, away from auction-to-computer transactions that have defined the industry for the past five decades or less. The once emotional means of trading has been replaced with cold numbers. It overrides the noise of trading Signals and processes a massive amount of data sets than any human ever could.
With crypto trading, once a system is well set up, there is no break or off days. The lag time is less by microseconds, and as any well-seasoned trader knows, it could lead to substantial profits. The execution speed is also infinitely faster than that of human, an aspect all-around appreciated in these technological advancements.
Crypto and blockchain have proven to be a perfect match when it comes to trading. As they continue to grow and advance in the next decade, traders will rip its advantages exponentially. Signals have taken note and are already playing the part.
The company’s mission is to optimize trader profits through their state of the art algorithms drawn up by the science community. These tools are available on the Signals platform and are designed to be user-friendly. From here, you can derive statistical models, technical indicators, media monitoring, and crowd knowledge-based inputs among other functions. You can customize trading robots without advanced technical knowledge to maximize your experience. Signals will have their token base on ERC 20 token. This Ethereum blockchain will facilitate the purchase of paid features within the platform.
Their business model has two top revenue streams. The first from the fee charged on each marketplace purchase. It includes buying data streams from the Data marketplace, or user-created indicators from their indicator marketplace, renting strategies from the Strategy marketplace or use premium platform learning features to come up with your trading strategies. The second will be the deployment of strategy via their cloud solution. There will be several tiered subscription models on the platform that traders can choose from based on their needs.
In essence, algorithmic trading is simple. It starts with you picking out a data set to serve as a foundation for further analysis. Next, you need a lens with which to view this information, and that’s where different types of indicators come in. As a final step, a trading strategy designed is according to how you perceive the data. What you should have at the end is a robust algorithmic trading strategy ready for testing and eventual adoption.
There are three marketplaces, data, indicators, and strategy. These inputs can be chosen to form the basis of an automated trading strategy. The section of the platform that this takes place is the Strategy Builder. If you know Python, you can build this part through coding, but there’s the option of using visuals.
With Signals, traders can formulate smart strategies that change how they’ve been trading and by extension, potentially reduce losses.
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