Today Cryptohopper has launched a new algorithmic option designed for new traders. The popular trading platform is letting users buy and sell strategies that are aimed at trading cryptocurrencies on all time frames with various exchanges ie. Coinbase, Kucoin, Kraken etc.
The new feature is designed to allow beginners to cryptocurrency trading to trade with confidence, by leaving the heavy lifting and algorithmic system design on the successes of proven traders.
Users can buy strategies that have proven successful verification in cryptocurrency trading and are given the opportunity to try them out in what is known on demo accounts, a mock trading environment where users can practice without risking any real money.
Algos are basically systems that provide signals to when and buy and sell. Risk management can be tweaked and the system can be automatically synced to your trading account. It must be warned that past performance is not indicative of any future success as market conditions change all the time and some old strategies might not stand the test of time in different market conditions.
Once the users are happy with the strategies, they can implement them as a live cryptocurrency trading robot, which will utilise their money to buy and sell mainstream coins on the user’s chosen exchange, these options include Bitcoin and Ethereum, as well as niche cryptocurrencies such as Altcoins and Stablecoins like Tether.
This idea could significantly increase investment into the crypto industry as so many people had been burnt in the sell off at the start of 2018.
Ruud Feltkamp, CEO and co-founder of Cryptohopper commented: “There is still serious demand from mainstream consumers who are getting into cryptocurrency trading but most do not know or have time to learn technical analysis,”. He went on to state “Cryptohopper fills this gap by allowing inexperienced users to register, buy a trading strategy from a professional trader and have their trading bot execute trades on their behalf, 24/7.”.
Background into algorithmic trading
Algo trading has been around in mainstream finance for decades now. Algorithmic trading is a type of trading done with the use of mathematical/statistical formulas run by powerful computers. An algorithm, in mathematics, is a set of directions for solving a problem. An example of an algorithm is an algebraic equation, combined with the formal rules of algebra. With these two elements, a computer could derive the answer to that equation every time. In this case the base case is the buy and sell signals.
Algo trading makes use of much more complicated formulas, combined with mathematical models and some human oversight, to make buy and sell financial securities on an exchange. Algo traders sometimes make use of high-frequency trading technology, which can enable a firm to make tens of thousands of trades per second looking for profits.
With the emergence of AI, algo trading has been taken to a whole new level, where machines learn complex risk to reward ratios. Also, reporting systems have improved so fail-safes can be added if a maximum loss level has been breached. Banks have been using algos to good effect now for decades and it has really hit the prop trading side of banking. As long as there are profits to be made these systems will remain in circulation and with Cryptohopper who knows you could be the next to profit.