7 Best Crypto Trading Bots for 2022

Backtesting allows you to test trading strategies against historical data to see how your algorithm or trading strategy would have performed under real market conditions. Obviously, you want to have access to backtesting features that create the most realistic simulations which means taking into account slippage and latency. This means that the accuracy of the backtesting tool is only as reliable as the historical data sources that it pulls from. You’ll also want to look for a robust community of traders who share their backtesting configurations on community forums. Trading bots allow crypto investors to automate buying and selling of positions based on key technical indicators. Bots implement specific trading strategies, competing to attain the highest "win rate", or percentage of profitable trades.

Of course, this involves being involved in a social community, and these days a lot of crypto trading bots out there let you copy other traders with just a click of the mouse. To sate the appetites of even the most demanding crypto traders, they have various crypto trading bots and strategy builders online, sourced directly from expert programmers. Making a crypto trading bot requires https://www.softwaretestinghelp.com/best-crypto-trading-bots/ a sizable budget of $200K. Please note that we’re talking about building a cryptocurrency trading bot as a platform that allows customers to create their own bots by applying sophisticated trading strategies. Coinrule empowers traders to compete with professional algorithmic traders and hedge funds. Set custom automated trades and never miss a rally or get caught in a dip.

Because robots are not considered financial institutions, they are not permitted by law to receive deposits. It is vital to complete a background check on the broker partners dealing with the robot when hunting for one. Legitimate robots will only operate with brokers who follow specific guidelines. Why would you want to trade for an enormous profit if your money is not safe and secure? Make sure to learn about the platform’s level of security before investing. In addition, the most successful Crypto Trading bots in the world are known for their lightning-fast research and execution.

In Layman’s Terms, this means that you would make a loss of 1.42%. As a result, you need your trade to increase/decrease by at the least the spread percentage – just to break even. CFDs allow you to speculate on the future price of an asset without needing to own or store it. AI trading sites will also give you access to trading major pairs like GBP/USD, GBP/EUR, and USD/JPY – but also minors and exotics, a number of them without fees or commissions. Instead, the only fee that you pay is via spread – more on this later. Furthermore, most of the forex pairs listed by the broker come with super-tight spreads, so you'll be able to keep your trading costs to a minimum.

The majority of bitcoin robots may be purchased for as little as £250. The user must generally download a clear picture of their identity on both sides of the government as part of the verification process. On the other hand, proof of residency necessitates the upload of a recent bank statement or bill with the address mentioned earlier. Almost all brokers require users to finish the process before completing verification, whereas most brokers like eToro allow traders to deposit and trade before confirmation. Some bots are free, while others have a considerable price tag. In general, a premium bot has more features and provides better service, but you should consider what you are getting for your money and whether it’s worth it before making a selection.

  • The platform now supports thousands of traders who manage over $1 billion dollars in cryptocurrency.
  • Can detect a potential market crash hours or days ahead with an accuracy higher than 80%.
  • Your money is now in available funds and can be returned or reinvested in another bot.
  • Coinrule connects to the exchanges via API and the funds stay on the exchange as a security measure.

Its paid package comes with advanced charting options, unlimited template usage, even one-on-one trading tutorials, and lessons, while the free plan has 7 complimentary template strategies. Typically, traders will download a code from the developer of a bot after discovering the bot that will be useful to them. The https://bitqs.review/ trader will now follow the instructions and set up their bot in the exchange they want to use. For instance, you can tell your bot to buy a particular coin at $15 and repurchase it if the price falls to $12. Depending on the bot provider you choose, you will find many account options and supported coins there.

Crypto is hard, but 3Commas makes it easier

They make those decisions by watching the market’s price movements and reacting according to a set of predefined rules or smartly study the pattern on graphical view. The Superalgos Platform integrates all crucial aspects of crypto trading automation in a visual scripting environment accessible to technically-minded users and optimized for developers. For many users, adding their crypto exchange API is a massive blocker. Allowing them to paper-trade using your demo account seems like a good idea to keep them exploring the software. Besides that, we need to consider if we want multiple trading strategies to work in parallel to improve trading accuracy of the bot. For example, Trality allows its users to create multiple trading strategies and combine them in a single bot.

These algorithms allow http://travislxid386.bearsfanteamshop.com/prometheus-ai-redefines-the-way-you-trade-crypto-disrupt-magazine users to take advantage of fluctuating market movements and ideally generate profit on eery trade. In addition to out-of-the-box algorithms, Bitsgap offers signals to users alerting you of coins with the strongest potential in the short or long term. When it comes to trading, the community around a product can often be just as important as the product itself. You’re paying not just for the technology but for the living manual that will help you use it most effectively. If you really want to get the most out of your trading software it’s a good idea to check out the trading community that is using it.

On paper, this cryptocurrency trading bot does all of the trading legwork on behalf of the investor. Haasbot bot is highly customizable and enables a variety of technical indicators, and is also capable of recognizing candlestick patterns. One has to be knowledgeable to use this trading bot and make a profit from doing so, considering it costs between 0.12 BTC and 0.32 BTC per three-month period to use this tool. There is, however, an extensive knowledge base for the traders willing to learn, provided by the creators on their site. Copy trade the best crypto traders with transparent track record, trade yourself using the advanced trading terminal or create fully automated trading bot using TradingView.

You can either run that bot with paper trading, or proceed directly to live trading by connecting your exchange account. Even if the bots you choose are legit, they might still end up costing you your investments. The bitqs.review crypto market is extremely volatile, and AI-powered tools don’t usually fare well in conditions of high volatility. Consider the COVID pandemic and its effects on the market or the whole Elon Musk crypto-fiasco.

Bitcoin Era

Before you can work with a bot, you need to understand the fundamentals of cryptocurrency trading. If you don't know the details of how to trade, a bot can't help you. In addition, many of the bots on the market are not easy to use. In fact, you may need programming experience to set up the algorithms.

Mudrex is one of the newest crypto trading platforms here, coming out of beta in 2019. It can be understood as a simpler version of Kryll, in that both utilize a similar drag and drag strategy builder, however, Mudrex does not use its own token. Even creating a new robot is very easy for new traders, you just need to click on the “create my robot” and add your favorite asset pairs. DaxRobot offers 12 different currency pairs for both Forex and Cryptocurrencies. The automated trading platform generates signals by using various algorithms and systems of identifying patterns.

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"