A secure robo-trader should have an SSL secured website, proper password policy and also a secured database. We found the following robots to be free to use,and capable of trading well if used correctly. Their software has been tested and we confirm that they are active and fully working with a demo account. Like manual trading, bitcoin robot trading has risks, and are not 100% accurate all the time. However, as more robots have cropped up over the years, so have scam products which have stolen people out of their money, taking advantage of the unregulated market.
- Bitcoin Pro is a newly released trading application that is completely automated.
- The Tradewave platform can connect to most of the largest exchanges, and also provides users with the ability to share successful trading strategies with each other.
- They have more than 7000 clients currently, and they are backed up by well-connected Angel investors, and as a result have a very engaging, active community.
- Bitcoin Bot provides a Realtime and comprehensive interface which is based on a trade bot, who is responsible for all the trading activities on behalf of the trader.
- Both platforms provide a smarter way to trade and manage cryptos.
- Send trading signals directly from Trading View or your own system.
Bitsgap doesn’t have access to your exchange account and cannot withdraw your funds. You will be notified by email once your bot has been approved and published. As long as you have a paid subscription plan, no other fees are incurred. However certain bots require more expensive pricing plans, such as bots with a smaller tick interval. We’ve also created helpful get-started videos for both the Code Editor and the Rule Builder. Can anyone help with something better than, "Yes, I profit. You just have to figure out good settings on your own by tweaking Profit Trailer yourself."
It is worth keeping in mind that losses are as much a part of automated trading as they are of manual trading. Just because a machine is involved this does not mean that is makes accurate market predictions every time. https://bitqs.review/ After all, the strategies it implements were programmed by a human being. The best you can ever expect is to consistently make more gains than losses and a good bot, coded with effective strategies, should do that.
You buy a Bitcoin for $6,500, set your take profit feature for $6,600, and if the gains are realized, your bot will take your profit. The system helps out significantly but it often leads to missed profits. In a traditional stop loss scenario, you preprogram a loss percentage. When that percentage is reached, your bot will sell your crypto. If Bitcoin’s price drops to $9,000, your bot automatically initiates a sell order. Stop losses are extremely powerful, and using one can save you from huge losses.
KuCoin has over 8 million users, meaning their markets are deep and extremely liquid. KuCoin provides the parameters of the most successful bots that others are using, so you can easily copy them to use as your own trading strategy. As soon you open a free account with KuCoin, you can access the free trading http://arthurhtna687.lowescouponn.com/ultimate-guide-to-the-best-bitcoin-trading-bots-2022 bot. In countries where Bitcoin Trader is not available, traders can opt for CFD brokers. It is a good alternative as CFDs are controlled and regulated by the Financial Conduct Authority. The Financial Conduct Authority ensures investor protection and sees that your money doesn’t fall into the wrong hands.
Which Are The Best Bitcoin Trading Bots?
Bitsgap is a new way to easily manage your portfolio and trade on all crypto exchanges via one platform and one interface. Bitsgap trading robots are tailored to monetize any market fluctuation for traders with any experience. User can launch a combination of the Grid and DCA trading strategy bots to capture bitqs.review a profit on every phase the market is going through. During a sideway period the Grid trading bot will generate max profit while the DCA bot will actively join the game if the market leaves the flat range and starts a new trend. Grid Bot reverse mode aka “Buy the Dip” accumulates BTC during downtrends.
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