It is designed to support all major exchanges and be controlled via Telegram or webUI. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning. Gunbot is a highly customizable trading bot for advanced traders.
The mobile app comes with a helpful tutorial so that you can get to know how they work and how you can use them to your advantage. It uses API keys that are encrypted with state-of-the-art security-AES-256 to connect with exchanges. Testing helps you to confirm the effectiveness of bot actions before implementing in the running market. It embeds intrusive https://www.softwaretestinghelp.com/best-crypto-trading-bots/ analytics tracking and uses the Trade server to ensure no one can monitor activities between you and your integrated exchanges. If you want to activate strategies on volume and buy signals with MACD, then HaasOnline has got you covered. Investors face lots of issues and go through several troubles before they really get comfortable investing.
A cryptocurrency trading bot is a computer program or application that trades cryptocurrency for you based on predefined conditions. Most crypto trading applications work in a straightforward manner — you authorize the bot to buy or sell an asset if and when it reaches a specific price point or indicator. Your bot then takes care of placing and executing your order so you don’t need to monitor your platform all day to see when these price movements are reached. When it comes to providing the widest range of preset trading strategies, it’s hard to beat Coinrule’s wide selection.
Yes, Bitcoin trading bots can generate substantial profits, but not all bots generate profits! To begin, you should be aware that there are hundreds of cryptocurrency trading bots available on the market, each of which has a unique trading strategy built into it. A standalone application that operates on a dedicated server, Crypto Arbitrager can leverage robots even when the PC is off. The developers behind this cryptocurrency trading bot claim that this software uses code integration of financial time series.
What really makes Mudrex a solid trading service is the simplicity of the platform. Like it or not, there’s a possibility you’ll get stuck at some step or at least get confused about some features of the platform. Their bot listing page also displays crucial metrics like returns, days since live, and fees. Experts can create templates and sell them, whereas beginners can use “Plug & play” strategies created by experienced ones. Back-testing allows you to test your bot with various strategies to help customize it for different market conditions. It is a Drag and Drop tool where you can create bots using Boolean logic.
- Strategies are created through simple typing, tested on historical data and with a single click deployed on the exchange of your choice.
- Since then, Stoic returned +2,120%, beating both the passive holding of Bitcoin as well as an equal-weighted portfolio of cryptocurrency assets.
- Haasonline happens to be one of the most advanced crypto trading bots on the internet, so you will need a bit of experience to fully understand how to use these guys.
- The two merged their ideas, skills, and experiences and created Cryptohopper.
It allows users to transform any TradingView script into a fully working cryptocurrency trading bot. WunderTrading also allows you to manage the portfolios of many crypto exchange accounts at https://bitqs.review/ the same time, eliminating the need to perform separate transactions on each API. Crypto trading bots are automated software that helps you buy and sell cryptocurrencies at the correct time.
Crypto is hard, but 3Commas makes it easier
HaasOnline created HaasScript to be a world-class crypto scripting language. HaasScript lets you create complex automated trading strategies, technical indicators, generate signals and interpret them, and many other features. Our powerful backtesting engines will help you minimize your risk exposure.
The basic idea is to copy the work you have just finished and then do it again. Processing a large volume of data in a precise and accurate manner at the same time. When using this service, there are no fees, commissions, or other hidden costs. Customer support representatives are ready at all times to assist you. Each of these tracking applications can plug directly into Binance US to pull your balance history, monitor your portfolio, and notify you when things are getting exciting. So now that you know the ins and outs of AI trading, let’s analyse the most important factors that you need to look out for when choosing a platform that meets your needs.
That’s why people came up with a solution to solve this problem. Try to limit the access of the current trading bot to an exchange, so that it can only write or sell orders. The good news is that there are a lot of low-risk trading strategies that do offer returns as well as an algorithm that is going to make sure that you don’t lose everything.
You can either run that bot with paper trading, or proceed directly to live trading by connecting your exchange account. Even if the bots you choose are legit, they might still end up costing you your investments. The bitqs.review crypto market is extremely volatile, and AI-powered tools don’t usually fare well in conditions of high volatility. Consider the COVID pandemic and its effects https://arthurgptd031.shutterfly.com/55 on the market or the whole Elon Musk crypto-fiasco.
LENDING PLATFORMS
Crypto trading bots can be utilized on many well-known cryptocurrency exchanges today. The cryptocurrency trading bot gives users the opportunity to customize their trading to a level which no other trading bot can provide. Almost all the strategies and technical indicators that manual traders use on a daily basis can be found in this bot and used to trade automatically. The interface is user friendly so that everyone can easily get a hang of it. It is suited for more experienced crypto traders as well as beginners; some strategies are highly configurable while others are easier to use. The bots make trading decisions by following the market’s price changes and reacting according to a set of predefined and pre-programmed rules.
Coinigy is a cloud-based platform that in addition to the web, offers iOS and Android apps of its product—allowing users to trade via mobile devices. Blackbird is a unique Bitcoin trading bot that utilizes arbitrage deals. Arbitrage bots come with the advantage of not selling tokens that you own but rather looking to utilize the arbitrage strategy to find gaps in the market and take advantage of them. ArbiSmart is a cryptocurrency investment platform using a smart trading bot to take advantage of arbitrage opportunities. The service focuses on making the trading process easier for users, whether they are professional day traders or fresh traders wanting to benefit from digital currencies.
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"