The Most Powerful Crypto Trading Bot

These fully automated bots enable you to maximize trading gains while minimizing losses. It was developed in 2017 and has become popular at a remarkable pace since then. There is a $22.5 billion average monthly trading volume while 1.2 billion trades are executed on the 3Commas platform. Moreover, the platform upholds a clear and transparent system that ensures transactions according to users’ set parameters. Additionally, the platform also has investment tools and financial protection algorithms. All these characteristics of 3Commas make it one of the best trading platforms.

Exchange Valet has one goal in mind – to make it easier for their clients to trade cryptocurrency online. They understand how difficult the landscape can be to navigate, and they want to streamline the process. Autonio wants to help democratize trading so that you can access some of the best trades of your life, and you don’t have to spend too much time on them. Trading is a numbers game, and if you don’t get it right, you’re going to miss out on some good trading opportunities.

If you are not a professional trader - crypto-bots are a great opportunity to create passive income. Here you can find signals and strategies for bots by famous and experienced traders. The Paper Trade feature provides full access for manual actions. However, automatic paper trading in demo mode is limited to using simple robots.

Benefit from a secure, trusted space, where from day one, your crypto will be working hard on your behalf. 3Commas is not an exchange, and it connects with other exchanges using the API key. Since 3Commas does not store your API Keys, and uses the state of art security measures, it is quite safe. However, when setting up the connection between your exchange account and 3Commas, make sure to not give a withdrawal function to your newly created API key. You can also copy a portfolio if you like, but for this feature to be used you should have those particular exchanges linked to 3commas. In the SmartTrading approach that is implemented via the 3commas tool, you get some exclusive features.

Im Not A Trader; Can I Use Botcrypto?

The Trality Rule Builder tool helps them build trading bot logics with ease and precision. The platform also provides you with a comprehensive set of precise market data. That means you can use that data to develop good trading strategies.

  • The trailing stop loss feature takes additional factors into the equation.
  • If you are just starting with automated trading, and you don’t have a lot of coding knowledge, then the simplicity of this platform could be a big advantage.
  • NewsBTC is a cryptocurrency news service that covers bitcoin news today, technical analysis & forecasts for bitcoin price and other altcoins.
  • If you are proficient with coding, you may be able to create your own strategies, but it’s not easy.

TradeSanta comes especially handy when you cannot dedicate yourself entirely to the crypto-trading tasks such as submitting every trade yourself. If you want to scale – up your trading, you can create multiple trading bots here where each bot automated trading on its own. This crypto trading bot has professional tools for automated trading so that you don’t have to spend too much time every day focused on your https://bitqs.review/ online trades. They have a grid bot, that helps you come up with profit opportunities with almost no effort. Shrimpy is a trading platform focused on the social aspect of trading and security.

Trend Following Strategy

BitQT App is a smart robot that exchanges user cryptography automatically. Artificial intelligence is supposed to be used to evaluate crypto markets and to generate winning trades. AI robots, including investment banks and hedge funds, are popular with huge Wall Street corporations. British Bitcoin Profit is the best bitcoin https://www.business2community.com/cryptocurrency/bitcoin-robots/bitcoin-trader-review robot that allows its customers to trade in a variety of cryptocurrencies, including bitcoin and ether. This is a sophisticated method that is suitable for both novice and experienced traders. In fact, bots can be an incredibly powerful tool but there is nevertheless no guarantee that you’ll be able to profit when using one.

Each of the rates includes access to the platform's mobile app to manage notifications and portfolio. For professionals - huge choice of strategies and bot settings. For beginners - you can copy the bot of famous trader and start earning in just 10 minutes. I needed to know the constraints of cash an individual can gain from bitcoin robot.

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"