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.
On the other hand, a bot can be trained to continuously monitor the market and execute a trade at specific times. The purpose in general of bots, not just a trading bot, is to ease and reduce human effort in repetitive tasks. While a good https://bitqs.review/ trading bot can carry out a lot of functions such as data collection, purchasing, fund management, etc. it follows the basic rules of animation. All these three parts have their algorithms which in turn, have their optimization processes.
You will need to define your coin rules for Ethereum, Bitcoin, and Dogecoin, and then you will need to set the amount that you’re wanting to trade. Developing your API key is going to ask for two-factor authentication. Once you have entered a code, Binance is going to send you an email that is going to confirm that you want to develop a new bot. However, sometimes if the market isn’t favorable, they aren’t going to work very well for you. One of the things we love the most about them is that they are an app, which means that you can download them easily to your smartphone and start using them on the go.
But mind you, you need to know to code since you have to hard–code the stop–loss into its scripts. If a copy trading function is available on your trading bot, it is a great advantage to have. If you enable this function, the bot simply copies the trading techniques of professional traders and benefit from their benefits. In simple words, they carry out the same orders of a buy or sell as professional traders who rent out their strategies.
That way, both position and speculative traders will have plenty of choice. When choosing the best-automated trading bots for crypto arbitrage trading, it is important to consider your individual needs and objectives. Each bot has its own set of features, costs, and benefits that may or may not be a good fit for you. In this post, we’ve gone over the 3 best crypto arbitrage bots to help you make an informed decision on which one to use. While crypto trading bots sound amazing, there is a need for due diligence if it involves automatic software since human alone is not infallible when it comes to matters of trading.
As fast as the FinTech and virtual currency worlds are growing, a lot can change in a short amount of time. While there are numerous benefits of using trading bots, users should remember that there are some serious second-thought risks involved as well. After all, you are giving the control over your money to a third party. Trading bots are still a new technology that has yet to develop.
These include viewing prices of coins in real time, executing live orders, simulating markets, calculating indicators, and alike. Compared to our previous entries, its functionality is somewhat limited. Still, the bot continues to be useful, and it's also completely free. Fortunately, the development behind most of today's highly-sophisticated, automatically-executing, bitqs.review self-configurable bitcoin trading bots reviewed below have came along way. Is a code-driven ‘program’ that can generate and execute buy and sell signals in the market. The main components of these bots include rules that signal when to buy or sell, and rules indicating when to close the position alongside rules determining order size and portfolio allocation.
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.
- Conversely, the trading bot should be able to scan the market 24/7 and identify opportunities for profiting as Bitcoin price moves up and down.
- DaxRobot offers a web-based trading platform with an easy registration and login process.
- In fact, you may need programming experience to set up the algorithms.
Read our recommendations about which bitcoin bot strategies and platforms might be best for you. For every market condition, there’s a trading strategy that can profit from it. 3Commas bots happen to be https://andersonceil893.weebly.com/blog/29-best-crypto-trading-bots-on-the-market really good at reducing average acquisition costs, directly increasing your profit margins from each trade. On the other hand, automatic trading requires little account monitoring mostly less than 20 minutes per day.
How To Get Started With The Best Robot
As you can see from the list above, there are a number of different features that cryptocurrency trading bots offer, so it basically comes down to what you’re wanting out of your trading bot. Bitcoin trading bots are not only useful when the markets are on the up. On the contrary, they also have the capacity to execute orders when the markets are going down. If the bot has been programmed correctly, then it should be able to differentiate between a bull and bear market, meaning that it can execute sensible trades as and when a key movement occurs.
In a similar vein, merchants too can profit from their use since they are required to be aware of the market 24-hours a day (so as to protect their hard-earned assets) . Your ProfitTrailer subscription gives you access to all supported exchanges. All subscription plans also come with all indicators included, which means higher-paying users don’t get access to different indicators than users on lower subscriptions. Overall, there’s limited information about Pro Crypto Bots available online, making it difficult to fully understand the trading platform.
Now, if the price starts dropping and that sell order remains at the place will be executed if the Bitcoin price falls below $9,500. So, using the previous example, let’s say we set a trailing stop at $1,000 from the current price, which is $10,000. Let’s sayBitcoinprice starts rising and reach to $10,500; in this case, a sell order will be set to $9,500. If the bot is inaccurately configured for trading, the operation of the program can lead to losses.
Bitcoin: A Smart Hedge?
Among other things, we may receive free products, services, and/or monetary compensation in exchange for featured placement of sponsored products or services. We strive to write accurate and genuine reviews and articles, and all views and opinions expressed are solely those of the authors. CryptoHero is a multi-platform cryptocurrency bot that uses AI technologies to get the greatest results.
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"