14 Best Crypto Trading Bots for Automated Trading

This script is a grid bot simulator for ranging/choppy markets. Prices are divided into grids, or trade zones, that will trigger signals each time a new zone is entered. During ranging markets, each transaction is followed by a “take profit.” As the market starts to trend, transactions are stacked , until the market consolidates. Though they only work with limited cryptocurrency exchanges, Napbots supports all the major cryptocurrencies such as Bitcoin, Ethereum, EOs, Binance coin, Ripple, and more. Gekko is an open-source platform that allows one to automate trading strategies in the cryptocurrency market.

  • Another advantage is the backtesting of strategies using historical data before investing real money, which means you can "paper trade" on a https://bitqs.review/ virtual exchange first without risking any money.
  • Pionex uses a maker-taker fee schedule, which means that you’ll pay a fee when you place trades that “make” liquidity on the market and that “take” liquidity away from the market.
  • Scalping is a trading strategy popular among crypto trading bots that focuses on profiting from small price changes.
  • Scalping is a strategy which consists of profiting from tiny price moves.

To automate your strategy effectively, sign up for their premium plans, price range from $13 to $19 per month. On higher plans, you get access to all portfolio allocation, trading, https://blockgeeks.com/guides/6-of-the-best-crypto-trading-bots-strategies-updated-list/ rebalancing, and exchange management features. That is not all, thousands of cryptocurrency traders also use Shrimpy as a way to share their portfolio and trading strategies.

Also, trading bots have a larger memory capacity and calculate speeds, which influence the trading results. Coin lending bots help to automate the process, so a trader spends less time looking for the right interest rate and makes use of the possible gaps in lending options. Traders are using crypto bots even more often due to a comparatively new opportunity to get a passive income. If you’re not a complete newbie, then maybe you’re thinking about getting started to use one of those bots to earn crypto in a way they haven’t done yet. No human on this planet can conduct millions of computations and place thousands of orders within seconds.

ommas features

Furthermore, delays in transactions or exchange executions further worsen the problem. Traders cannot monitor all the crypto exchanges and global markets round the clock to achieve optimal trading results. It comprises of ultimate tools for crypto traders to maximise trading profits while minimising risk and loss.

“Bot-Trading” has existed for as long as cryptocurrency has existed, but it has always taken advanced programming capabilities, a computer working 24 hours a day, and a great deal of know-how. We assist in developing state-of-the-art bots and transform crypto trading strategies into more innovative algorithms to execute them automatically with efficiency and consistency. OKX’s trading bot features a mode to simplify placing orders to take advantage of arbitrage opportunities between different instruments. Discrepancies between spot and futures contract prices can present profitable situations for traders. OKX’s trading bot allows you to determine the spot grid parameters manually. This is riskier than using the AI strategy — particularly for novice traders.

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"