Using Machine Learning
One of the major advantages of trying in the cryptocurrency markets is that it is completely decentralized with absolute no control authority and allows traders from around the globe to trade during any time of the day. Although trading in cryptocurrencies has been around the corner for some time now, it comes with its own set of risks.
‘Signals’, a Prague-based startup, aims to democratize the crypto trading process by using enhanced computational technology while clubbing the merits of cloud knowledge, computing power and machine learning.
The crypto asset traders present on the Signal Marketplace can maximize their profits by using enhanced trading algorithms and automated trading bots created by the Signal community. The Signal Platform focuses on providing its customers the ease-of-use where anybody can create fully customizable trading with no advanced technical knowledge or programming skills required.
How Does ‘Signals’ Work?
- Build Your Own Algorithmic Trading Models: The Signal Trading Platform comprises of a visual ‘strategy builder’ that can be used by anyone and everyone. Irrespective of whether one holds a knowledge regarding machine learning, the Signal’s model boiler helps users choose from a variety of indicators right from traditional technical analysis to deep learning as well as sentiment analysis which is based on media monitoring.
Combining all these indicators, one can formulate and customize their best trading strategy. The Signal Indicator Marketplace also allows developers and data scientists to create their own trading indicators from the scratch and monetize their skills.
- Test and Train Your Model Before Staring Any Trading: Perform a validation test by connecting your trading model to any cryptocurrency exchange and then backtest it with the historical data in the Signals training center.
Signal provides a supportive analytics and optimization algorithms which allows the user to determine the best settings for his/her trading model.
- Use Your Trading Model to Realize Profits: Once that you have confidently formulated your trading model, use it on real-time data while making informed trading decisions. You will be given the choice to either automate your trading or just receive notifications of any trading opportunities based on your trading model.
One can also integrate his/her strategy with Signals data science algorithm toolset. The strategy will continuously re-adjust its settings based on the changing trends of the market and helps to realize maximum profits.
- Monetize Your Trading Strategy by Sharing: Having achieved successful results through your own formulated trading strategy, you can even share it in the Signal Marketplace so that anyone can pay you for using your strategy for trading.
Similarly, one can also find, and copy trade the most successful strategies in the Signal Marketplace and even discuss their ideas and strategies with others. The payments on the Signal Marketplace can be done using Signals token SGN.
Details Regarding the Signal Token Sale
All the tokens used on the Signals platform are referred to as SGN tokens. The SGN tokens are built using the ERC20 protocol on the Ethereum blockchain network.
The total supply of SGN tokens in the market is fixed at 150 million. The SGN tokens can be purchased against Ether where 1 ETH = 3226.53 SGN. 50% of the total SGN tokens are distributed for public sale, 18% for operational and development purposes, 20% for rewarding purposes, 10% for partners and advisors and 2% for Bounty campaigns.
The soft cap is $2MM USD and the hard cap is $18MM USD, where 1 SGN = $0.30 USD.
The Team Behind Signals
The core members of the Signals team are Pavel Volek who is the CTO and Co-Founder who is a front-end developer of the Signals platform and the software architect. Pavel Nemec is the CEO and co-founder who has a huge experience in algorithm-based crypto trading.
Besides the team comprises of 20 experience individuals in blockchain and machine learning, experiences growth hackers with enterprise solutions and also trading experts working along with developers.