Should You Use A Trading Bot To Buy Bitcoin?

From there on, it all depends on the behavior of the crypto markets. Rather than making trades one by one, users create and manage their portfolios through HodlBot. When https://sourceforge.net/software/crypto-trading-bots/ the market shifts, a portfolio will drift away from its target allocation. HodlBot automatically rebalances your portfolio to keep it on track, saving you time.

A momentum indicator that investors may use to determine the strength or volatility. This indicator aids in the detection of both oversold and overbought conditions. Trade cryptocurrency now or use the Demo https://bitqs.review/ account until you are comfortable. Their algorithms automatically detect the coins that have the strongest potential. Provided functionality, including both core and optional features; and much more.

They say that investing as little as 5% of your current net worth can yield a huge portfolio. If you want to get in on the cryptocurrency craze right now, then you need to make the most of this trading bot. This is the kind of platform that you will want to try if you hope to profit from advanced trading algorithms, and the best part is that you don’t have to give you your day job to do this. Superalgos is an open-source, free trading bot that has everything you need to do really well with your online trades.

Bitcoin is partially run by computers, but these computers are not used for trading. They're used in Bitcoin mining, which secures the network and introduces new Bitcoins to the marketplace. Web scraping, residential proxy, proxy manager, web unlocker, search engine crawler, and all you need to collect web data. Here are some of the tools and services to help your business grow. Every week we share trending articles and tools in our newsletter. More than 10,000 people enjoy reading, and you will love it too.

Now, Peter writes honest reviews about trading platforms and automated trading tools to guide inexperienced traders and help intending users make good choices. With bitcoin robots being easily accessible today, it is more preferable to traditional trading. We have examined the best bitcoin robots available on the market today to help you understand their fundamental distinctions and learn about their capabilities.

You receive access to a great crypto community where people share trading strategies. Trading through Bitcoin Bot enables a user to generate massive profits that can be directly credited to the trader’s account without any delays and deductions. Bitcoin Bot’s potential is up to the mark, because of the FinTech Experts have put a lot of their research and hard work to make it profitable in the crypto trading network. The account is activated upon the deposit of $250, which is basically a trade capital to enable a user to gain profits.

One of the things that we really like about this trading bot is that it makes it really easy for you to customize your strategies, and you can come up with unlimited bot instances too. If you don’t have a big budget right now for your crypto trading and want to put into all into your exchanges, check these guys out. They also help you with multiple exchanges and they let you track all of your trading performance through the app, bitqs.review so it’s super easy to keep track of what’s happening with your currencies. Bitsgap automates the process of crypto trading, which is nice if you’re someone who leads a busy life and doesn’t have time to check in on your trading deals every few minutes. Alternatively, you might decide that you want your bot to trade multiple pairs. Take note, some providers will limit the number of pairs that you can trade at any given time.

As a user, you need to take preventive measures to protect your wallet. Backtesting is a strategy to test the effectiveness of current trading strategies. In this, the bot will use historical data to reconstruct trades that would have http://beaugqww327.timeforchangecounselling.com/how-to-build-a-crypto-trading-bot-in-2022 occurred in the past. These crypto bots also perform analysis on their own and do not require the trader to spend time in. It will need some technical coding skills to know how to set up a crypto trading bot. If you are a person far from these skills, you will need to spend a lot of time apart from your trading learning to know what goes beneath the bot.

  • You can just connect your trading account to CryptoHero and select your ideal subscription level, and you can also set parameters for the bots.
  • They boast the capability of a lot of features but do not recommend its use if you want to trade large amounts.
  • The essence of every crypto robot is its algorithm describing a trading strategy of a mix thereof.
  • A win-rate as high as 88% is achievable by exploiting the brokers & trading signals on the platform.
  • Matthew Wesly and Michal McCarty launched Shrimpy in 2018 in San Francisco under its original name Bethos Lab Incorporation.

The idea of the developers is that you’ll be able to trade simply and automatically, without you having to sit behind your computer or laptop. The brand has a clean and unique user interface and is compatible with the Windows, macOS, and Linux operating systems. Profit Trailer bot is fully licensed and regulated under the law of the Government of Curacao, which is a quite common offshore place for company registrations in the crypto industry. Zenbot uses a pattern matching mechanism, which is very powerful. This is more effective than machine learning, which is used by a vast majority of bots.

How Much Does The Bot Cost?

It is OK to let the bot trade any coin that is available on the exchange, but you will need to select it. Now, you will need to set up the rules when it comes to how you want your bot to trade. You can sign in to your exchange account and copy and paste your API key as we mentioned briefly above, as well as your secret key.

Therefore, you can expect the choices of a crypto trading bot to be almost zero intuitive and more data-backed. Crypto trading bots are programmed to ideally generate a profit with the lowest risk possible even if it means lesser net returns compared over a period if you had traded manually. For example, you can expect a crypto-bot to give you a consistent growth of 1% every day without any negative returns. However, if you trade manually, you may have days of 5% growth or -10% growth. This Ultimate crypto trading bot review is a must-read if you are looking to enter the world of crypto trading. While it has similarities with conventional stock market trading, many new concepts play a role in your understanding of cryptocurrencies.

I have written a separate article on the best copy trading platforms, and you can also read my experience of copy trading. Pre-build Templates — When I ran my first trading bot, it was an overwhelming experience. I made some mistakes, trial and error, before able to get my trading strategy automated.

Bitcoin: A Smart Hedge?

This cryptocurrency robot offers you different pricing plans starting from 0.025 bitcoin and can go as high as 0.3 bitcoin for the more advanced version. Before you cast away the trading bots, you have to consider the many advantages that come with using cryptocurrency robots. However, even if your experience with crypto bot trading is limited, there are still plenty of things you can do to enhance your current crypto trading strategy. First, because no one likes to lose their funds while running QA rounds. Second, because a bot working with a decentralized crypto exchange needs special attention.

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"