Should You Use A Trading Bot To Buy Bitcoin?

The trading system has a maximum accuracy of more than 95 percent most of the time. Haasbot is not just a bitcoin trading bot, but it also trades 500+ alt coins across all major cryptocurrency exchanges. Let’s dive into what an automated trading botis, and learn about the most popular crypto bots on the market.

  • Live Trader is definitely set up for traders that want to use algos.
  • It not only helps you with every portfolio management task but also has a reputation of one of the safest bots on the market due to the API keys encryption.
  • Bitcoin robots are not subject to feelings or emotions – they purely base their decisions on logic and algorithms.
  • We also like the compatibility with smartphones and tablets, meaning that you can monitor your automated bot’s trading endeavours while on the move.

So, the company only makes money when it’s succeeding on your behalf. You can get started with a $250 minimum deposit and test out the platform with demo trading before you switch to a live account. The trailing take profit feature takes into account the price trends of the day during the sale of your crypto. If your bot is set to take profit at 10 percent, this feature will take your profit at 10 percent of the highest point of the trend. Using the previous example, you sell your $6,500 Bitcoin for $7,200.

Firstly, novice traders that wish to utilize an automated bot can purchase a pre-programmed strategy, meaning that no experience is required to put the bot into action. Cryptohopper’s ConnectionsFor those unaware, an arbitrage trade is where you profit from the price difference of a single asset https://bitqs.review/ across two or more platforms. The great thing about arbitrage trades is that – if utilized correctly, they are 100% risk-free. However, it is also important to note that if an arbitrage opportunity does arise in the Bitcoin trading markets, it will not be present for more than a few minutes.

Indices Providers — Many platforms such as Mudrex and Napbots provides pre-build indices, meaning they have created a bucket of tokens, and you can simply invest any bucket of your choice. Drag and Drop or Coding Script — There are two ways to implement your trading strategy, either you write a code for that or use drag and drop tools, such as provided by Mudrex. There are limitations to drag and drop tools, but if you are a beginner and don’t have coding knowledge, I recommend you stick to drag and drop tools. If you are beginner then, you should prefer using Shrimpy, Cryptohopper and Coinrule. These trading bots are quite easy to use and will lessen the complexities.

KuCoin has over 8 million users, meaning their markets are deep and extremely liquid. KuCoin provides the parameters of the most successful bots that others are using, so you can easily copy them to use as your own trading strategy. As soon you open a free account with KuCoin, you can access the free trading bot. In countries where Bitcoin Trader is not available, traders can opt for CFD brokers. It is a good alternative as CFDs are controlled and regulated by the Financial Conduct Authority. The Financial Conduct Authority ensures investor protection and sees that your money doesn’t fall into the wrong hands.

The Best Crypto Exchanges In Canada

Super fun if you are into dorking around, but to see returns you have to be comfortably profitable already and be familiar with different strategies. Author who enjoys writing about social media, other marketing strategies, and getting an education. All well-regulated brokers require that their clients provide identification and proof of address before bitqs.review they can transact business. Accepting deposits, https://canvas.instructure.com/eportfolios/819064/griffinqryk412/The_Most_Powerful_Crypto_Trading_Bot facilitating transactions, and orders execution as directed by the bot are all responsibilities of robot brokers. Some or all of the products/services listed on this page are from our affiliate partners from which we receive commissions. This, however, does not influence the evaluations in our reviews.

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"