Top 15 Cryptocurrency Trading Bots

Pionex is a leading cryptocurrency exchange that offers 18 free crypto trading bots, which you can use to automate your trades around the clock. Hodlbot is one of the best cryptocurrency trading bots that help you to manage your trades with a user-friendly dashboard. With this software, you https://www.benzinga.com/crypto-trading-bots can create a portfolio of more than 350 coins and easily customize your portfolio according to your need. This bot allows you to rebalance your portfolio easily, and the price starts from $3 a month. Margin.de is a cryptocurrency trading bot that is compatible with 17 different exchanges.

NapBots is designed to automate your trading, removing fear and emotions. Our Algorithmic Crypto Trading Bots will automatically execute the selected trading strategies on your behalf without the need to be behind your computer after midnight. This service is currently available on Kraken, Binance, Bitstamp, Okex, Bitfinex, Bitpanda and BitMEX exchanges. Performing https://bitqs.review/ Crypto Bot ready to copy, instead of using complicated trading tools, our crypto bot scans the market in real-time and automatically trades for you. Exploit our 15 years of experience in global financial institutions based on quantitative trading. If you simply don’t have the time to watch charts, let the experts trade for you, and copy exactly what they do.

These platforms offer social trading, copy trading, and automated crypto trading powered by well-developed algorithmic strategies. This trading platform has a predefined set of rules that the traders set before initiating any trade. These sets of rules depend on the parameters that the traders want, like the minimum investment that they want to make, or the http://beaugqww327.timeforchangecounselling.com/how-to-build-a-crypto-trading-bot-in-2022 minimum range of profits they want to earn bitcoin, etc. When the rules match the trading signals, the system automatically triggers a trade. The traders have the option to use the default settings instead of making their own trade settings as per their criteria.

The only shortcoming of using Shrimpy is that it does not offer any crypto signals. Matthew Wesly and Michal McCarty launched Shrimpy in 2018 in San Francisco under its original name Bethos Lab Incorporation. This platform enables the global crypto community to have quick and safe trading processes. Shrimpy automates digital currency trades and also prepares trading strategies.

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.

These robots should be avoided as they are high risk and you can end up losing your capital if you decide to trade with them. To find out why they are scams, you can read our reviews by clicking on the hyperlinks. Bitcoin robots are not subject to feelings or emotions – they purely base their decisions on logic and algorithms. Some robots have an accuracy of up to 99%, which means that they virtually do not place any losing trades.

Elevate your crypto game by trading 24/7 with automated trading systems or “bots”. Personalization- while keeping constant track of markets worldwide, you can also program your bot to look out for key indicators that you have bitqs.review preference for via easy to use interface buttons. Margin.de is a trading bot platform put out by Margin and is made with integrated parts that it bought from a previously shut down trading bot by the name of Leonardo.

TrailingCrypto is one of the best trading bots in the crypto arena, compatible with various Bitcoin trading platforms. The bot beats the competition when it comes to pricing as it is an affordable bot providing access to premium feature at relatively low costs. This is a simple approach to trade cryptocurrencies when compared to other methods that need technical analysis. Also, because of their volatility, it’s one of the greatest trading strategies for cryptocurrency markets. One last thing to remember regarding the trading bots is that they are, and should be seen and used as, tools. They are not a passive income solution that will make a profit for you while you're doing something else just because of the buzzword automated.

  • BTC’s price has gone up to $52.000 and you choose not to sell it at a loss, but instead pay the $1000 premium, limiting your losses.
  • You can try using the bitcoin signal indicator and trade by yourself.
  • The ability to set stop losses at the same time and take profit orders is advantageous, especially considering most platforms don’t support this type of approach.

Thus, it is wise to wait for another clear opportunity before you enter the trade if you miss a particular trading moment. Yes, some apps allow customers to create completely custom robots from scratch. As time goes on, we’ll need to add new features, fix issues, comply with the latest OS updates, etc. The other side of maintenance is analyzing user behavior and identifying new strategies for improving the UI/UX, etc. Deployment implies moving the server-based software to a live production environment in the cloud, which has been already stress-tested. As for mobile apps, they are uploaded to Google Play and the App Store.

Common Crypto Bot Trading Strategies

Crypto Trader is a cryptocurrency trading system that uses intelligent trading technology to analyze the cryptocurrency market signals and present investors with the most profitable trades. CWE Bot is a cryptocurrency trading bot that is the first to be cloud-hosted and is super-fast and easy to use. CWE Bot elevates cryptocurrency trading and helps its users to make the right decisions when it comes to building their crypto portfolio. Gunbot is a community-made crypto trading bot that can help you automate all of your online trades for a better experience. Bitcoin robots are trading algorithms that buy and sell crypto volatility pairs on your behalf.

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"