The Best Automated Crypto Trading Bots in the Market 2020 Update

We can only assume and make educated guesses based on facts, historical data, and sometimes even feelings. Furthermore, not everyone has the time to do all the necessary steps and research to become a successful trader. That’s why people came up with a solution to solve this problem. Turn your website/blog/youtube or social media into a passive income powerhouse by promoting worlds leading trading bot!

This is a marketing offer and our regulated partners will indicate what services they have available upon registration. Unless you plan to never sleep – not good for your physical or mental health – a bot can act as a trading assistant of sorts. Be wary of social media messages offering jobs with Crayon Data. If in doubt, reach out to our People Team at [email protected]. It often makes sense to build your own market making operations.

Trality allows users to create their own trading bots, and even monetize them in a Marketplace. TradeSanta offers many tools for bot developers, including Bot Templates and a Demo Environment. Additionally, developers can monetize their bitqs.review bots on the Bot Marketplace or through Mirror Trading, which allows users to copy strategies from more experienced investors. Crypto Bots are automated software that helps users in buying and selling cryptocurrencies at a suitable time.

To achieve this, the platform gives users unrestricted access to its supported exchange for cryptocurrencies. The trading software functions with intelligent technology backed by machine learning and AI. BTC Robot is easy to use and navigate and is one of the best trading platforms used in the cryptocurrency market. Cryptohopper.com is a trading bot platform developed by a Dutch company. Besides the fact that the bot can place trades for you 24/7 fully automatically, you’ll have many other functionalities which will make crypto trading easier for you. Shrimpy is a trading bot that makes it easier for traders to buy and sell cryptocurrency.

best crypto trading bot

Zignaly is a cloud-based cryptocurrency trading bot that provides useful tools for the effective analysis of market fluctuations. Despite being new to the industry, Zignaly has managed to attract thousands of users through its technical innovation which includes multiple trading automation levels. Simply pick the pair you want to trade and set up a trading bot in bitqs.review minutes. Customize your bot for a long or short term trading strategy, reduce risk using stop loss and choose from a huge range of signals and technical indicators to suit your needs. Managing every aspect of a crypto portfolio becomes life consuming.

Demystify Crypto Taxes

This is because the 3Commas automated trading bot removes FUD and FOMO out of the equation, two major factors in many traders’ downfalls. To continue this 3Commas review, let’s go over its main features and explain in detail what are 3Commas bots. With 3comma’s https://blockgeeks.com/guides/6-of-the-best-crypto-trading-bots-strategies-updated-list/ free forever trial, traders can utilize 1 grid bot, 1 options bot, 1 DCA bot, 1 Active SmartTrade, and unlimited use of the native Scalper Terminal. All of 3comma’s bots can be managed from a single dashboard, which includes compatibility with TradingView.

They also say that you can use the application through a smartphone, or tablet. They are not necessarily a high frequency trading block, but they do have basic strategies meaning that they are a great place to start. Cryptotrader is armed with a powerful scripting tool that’s not hard at all to use. Zero-programming-skills people also have the option of “codeless” setup, don’t worry. As long as you’re backtesting it and doing paper trade, your software is free. When you decide to go live, you can pick between two pricing plans.

There are plenty of good reviews of Bitcode AI online, which certainly helps to give you a better idea of the general opinion of this trading tool. Trading using bots on the crypto and stock markets is legal, although they are only available on certain platforms and exchanges. All in all, user can depend on Bitsgap’s automatic trading bots to assist in trading. With that being said the bot is most effective if used in a swing or neutral market. Automatic trading bots – Bitsgap offers pre-configured trading bots that have been refined with the use of machine learning algorithms. In contrast to the majority of automated trading systems on the market, Coinrule makes use of conditional statements based on the IFTTT model.

The operation of the bot is simple, without the need to set complex parameters. It is based on 30 day backtesting, and is suitable for running 30-50D. Watch this short video explaining Grid Trading bots for a better understanding. Master The Crypto is a financial publisher that does not offer any personal financial advice or advocate the purchase or sale of any security or investment for any specific individual. Members should be aware that investment markets have inherent risks, and past performance does not assure future results. MTC has advertising relationships with some of the offers listed on this website.

In this case, the most critical part is to research the trader you want to simulate. Therefore, check trader’s past performance, ROI, investment size, asset selection, risk management, and other parameters. Because on the part of the implementation, you just need to select the trading range and configure the grid details. Create a trading bot and program it to rebalance your portfolio every hour till the end of time.

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"