Even though a trader may not be entering positions, every trader needs to understand exactly how those positions are being entered. For example, an index may include 40% BTC, 30% ETH, 10% SOL, 5% BNB, and 5% DOT. A rebalancing bot will balance the index each time one of the cryptocurrencies within the index breaches its predefined weighting. Rebalancing bots allows investors to build their own cryptocurrency index. Investors can pick and choose cryptos they would like to include within a diversified portfolio. While crypto bots can be built from scratch and customized to individual needs, there are several types of crypto bots that are common across most platforms.
Since every exchange has a slightly different crypto price, the arbitrage model makes use of the exploit. If you want to know how to build a crypto arbitrage bot, read on. Investors who want to take advantage of market opportunities with automated trading. I love the custom OSO and custom OCO feature provided by Trailingcrypto its one of a kind in the market. I can design any complex trade strategy without writing a single line of code. Create a new API KEY with all permissions enabled except withdrawal.
- It can be understood as a simpler version of Kryll, in that both utilize a similar drag and drag strategy builder, however, Mudrex does not use its own token.
- To help you in this quest, we present you with a short guide in the section below.
- Unlike the creators of many other crypto trading bots, Bitcoin Code’s developer, Steve McKay, is happy to raise his head above the parapet and put his name to his algorithm.
- These two related functions allow you to collect market data and save it for later retrieval, reference, and analysis.
Overall, Coinbot.club puts a special emphasis on community and transparency that is alluring. As an industry about personal gain and typically valuing anonymity, it makes for a nice change that they make a point of proclaiming and acting in a way that is opposite. They also distinguish themselves by promising to offer real profits and losses, sending out an alert bitqs.review if the bot has made a loss of -10%. Zenbot is an open source, anonymous trading bot that is currently under active development and in its third iteration. It’s completely free but does require some knowledge of its code because it allows for personalized editing through Github. This signal will control your bot and open and close trades on your behalf.
Can Mehracki MKI outperform market giants like Kadena KDA and Holo
Sell reason stats This report shows us the performance of the sell reasons. Based on our strategy, we only used the sell signal, so we only have 1 row. Generally, we could also sell for other reasons such as accepted Return On Investment and stop-loss.
Once other traders have spotted the opportunity, the markets will quickly catch up and once again, cryptocurrency exchange prices will be more aligned. Bitsgap also has the option to start to try the platform and the crypto trading bots with a 7-day free trial today. Nowadays, trading bots have become an important tool for experienced https://bitqs.review/ traders in a market packed with hundreds of assets, some of which have many derivatives and very high price volatility. Several online reviews painted a rosy picture of what the pieces of software can achieve. Sometimes luck also plays a part, especially when crypto market conditions agree with the robot's trading signals.
Capable https://gobellrlwy.doodlekit.com/blog/entry/21665675/uppersymbol-grid-trading-bot of making a high number of trades each minute, based on underlying price movement, Bitcoin Code takes the guesswork out of trading. When set up correctly, the algorithm can be left to do what it does best, generate profits by taking small bites out of fast-moving markets. Making decisions without human intervention means that any profits crystallised are a direct result of the solidity of the algorithm. Bots have no feelings, they don’t need feeding or watering, and they will only buy or sell when certain conditions are met. They react according only to preset parameters, and the best ones even have machine learning built into them, meaning they get better at trading with time. It is literally the most important thing about any crypto trading bot.
Getting Started With Crypto
Serena has never made a public statement favouring bitcoin robots, on the other hand. Kanye has openly stated his interest and support for cryptocurrency, especially bitcoin. However, there has been no proof of his endorsement of any bitcoin system.
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"