Bitcoin Trader

[Voltz Lance]

Most, but not all, will offer a range of known technical indicators, pre-built algorithms and chart tendency analysis. Crypto trading bots are automated computer https://www.benzinga.com/crypto-trading-bots programs that buy and sell cryptocurrencies at the correct time. Their sole goal is to generate as much profit as they possibly can for their users.

NapBots is designed to automate your trading, removing fear and emotions. Our Algorithmic Crypto Trading Bots will automatically execute the selected trading strategies on your behalf without the need to be behind your computer after midnight. This service is currently available on Kraken, Binance, Bitstamp, Okex, Bitfinex, Bitpanda and BitMEX exchanges. Performing https://bitqs.review/ Crypto Bot ready to copy, instead of using complicated trading tools, our crypto bot scans the market in real-time and automatically trades for you. Exploit our 15 years of experience in global financial institutions based on quantitative trading. If you simply don’t have the time to watch charts, let the experts trade for you, and copy exactly what they do.

There is a deals tab split between In progress and Completed, and you can review your dashboard for active orders, win/loss ratio, realized profits, and the total number of trades. This is a crypto trading bot that hosts its services entirely on the cloud. That way, it can help you catch short periods of downtime that will have resulted in missed profits.

X could be priced at $1.01 in Exchange A and $1.02 in Exchange B. If the price of X goes up to $1.25, the traders will sell-off the asset in bulk, which will reduce the price to $1. You can collect high-quality market data by accessing exchange APIs. Libraries like CCXT can allow you to interface with a bunch of exchanges.

The real advantage that Live Trader offers clients is the sheer number of trading bots, as well as a novel back-testing system. Unlike some platforms that need direct access to an exchange to do backtesting, Live Trader can run advanced backtesting simulations on paper. In addition, a correctly specified bot allows trades to be executed faster and more efficiently than the trader would be able to do manually. You can file taxes for crypto arbitrage bot trading by just importing trades from exchanges to your cryptocurrency tax software.

This is definitely one of the safest ways to go about investing your cryptocurrency. However, don’t think that just because you are a beginner, you can’t be part http://travislxid386.bearsfanteamshop.com/bitcoin-trader of the party. They have two subscription options, their basic option, and their pro option.

Enable quick simulations unachievable in manual trading conditions. As a result, bots enter the real market with optimal, verified trading strategies. Read on to find out the steps and best practices for building successful automated crypto trading software. The fact about the cryptocurrency world is that it is largely bitqs.review unregulated, and each nation has its own rules and laws regarding it. This implies that employing a cryptocurrency arbitrage bot to execute your transactions is not technically illegal, even if it saves you time. Every penny counts in the cryptocurrency trading market, even if it appears to be a small sum.

Coinbot.club distinguishes itself from the competition by promising to offer real profits and losses, for example. The bot even sends out an alert if the bot has made a loss of -10%. Zenbot is another open source anonymous crypto trading bot that provides traders with the ability to download the code for the bot and edit it themselves via Github.

• Most crypto-traders in the market today promise investors to make thousands of dollars per day with an initial investment of as little as $250.
• The bot may have bugs or undergo technical issues in its algorithm that can drastically affect its performance.
• It does so by automating these functions through pre-set signals.
• Packaged and portable apps

You can choose to pay for your Bitsgap access using either debit or credit cards, PayPal or even one of 50 altcoins including BTC and Ethereum. You can program your bot to react to certain market triggers, which may allow you to sleep better at night. Automated Bitcoin trading is possible with the help of this program. You can use either an automatic or manual trading method with this trading tool.

Step 4: Align Your Bot With Your Chosen Cryptocurrency Exchanges

It is OK to let the bot trade any coin that is available on the exchange, but you will need to select it. Now, you will need to set up the rules when it comes to how you want your bot to trade. You can sign in to your exchange account and copy and paste your API key as we mentioned briefly above, as well as your secret key.

Any trading history presented is less than 5 years old unless otherwise stated and may not suffice as a basis for investment decisions. Ease of usage – Most traders, irrespective of how seasoned they may be, prefer bots that have an intuitive interface, suiting their expertise level. In essence, it should fall in line with your trading strategies and the customisation level you require.

At the same time, the take profit level is lowered to correspond to the new average purchase price. Consequently, the price doesn’t need to reach the initial take profit level, and making profits in a price range becomes much more feasible. Thus, even if the price never returns to the initial purchase levels, you still have a good chance of closing the trade with a profit at hand. We might also make use of ccxt — a popular crypto trading library. It’s open source and works with JavaScript and Python, allowing trading-bot developers to bootstrap connections to popular exchanges like Kraken, Binance, etc.

Bitcoin: A Smart Hedge?

It is only their desire to assist you in putting these time-consuming strategies into action. Because they are computer-based, calculations are completed in milliseconds, trades are completed in a blink of an eye, and they never get tired of working. Tasks that take a long time to complete are simplified so that they can be set and forgotten. Some bots are available for free, while others will come with a significant price tag.

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"