[00:00] After running for a while, the bot now shows several completed transactions in profit. The profit makes sense here, because recent blockchain activity opened up more trading opportunities. In simple terms, the bot reads stablecoin mempools and compares prices inside
[00:15] pending transactions. When a measurable gap is still large enough after gas fees, the smart contract can execute the trade automatically. That captured spread is where the arbitrage profit comes from. Hey guys, in this video I am setting up an arbitrage trading bot
[00:31] that was built with AI, then taking it live. The free guide in the description is the one to keep open here because it has the setup steps and the links for the bot. For the wallet connection, I am using Metamask, but Trust Wallet or Phantom Wallet can work the same way. If you're on mobile,
[00:47] use the browser inside your wallet app and follow along with Metamask, Trust Wallet, or Phantom. Start by opening the website from the description. It runs small cloud-hosted servers for free,
[00:59] which is enough here because this bot is lightweight. We begin by making the bot file. In the Files Explorer tab, click the New File button, use the .py extension, and name it bot.py if you want to follow exactly. Next,
[01:14] take the bot code from the guide in the description and paste it into the editor. With the code in place, open the Compile tab and press the Compile and Build button to
[01:29] install the dependencies and compile it Once the build is done move to the Deploy tab
[01:52] For the first launch, press the Deploy on Cloud Workspace button so the bot container goes live on the cloud.
[02:12] Perfect, the deployment is finished. The left console is now our bot control panel, and the available functions are listed there. Before it can send transactions, the bot needs a smart contract gateway. For a new deployment,
[02:25] Click the Load Smart Contract Gateway function to deploy the smart contract on Ethereum mainnet. The deployment fee is still small in most cases, usually around 50 cents.
[02:47] Good. Now open the Etherscan link and confirm that the smart contract was deployed. On Etherscan, we can see the contract on the Ethereum network, and the owner field matches
[03:06] the wallet controlling the bot Back on the website we now need to give the bot smart contract enough liquidity for trading Copy the smart contract address first then deposit enough Ether into that address
[03:26] I am sending some Ether into the contract here so the bot has capital to use. At least one Ether is what I recommend, because the bot needs enough room to trade without gas fees eating too much of the profit. From my tests, the bot performs best from 11 Ether,
[03:41] since more liquidity gives it more room to capture the spread between two transactions. After the transfer confirms, run the update balance function and check the total liquidity balance.
[03:58] The total liquidity balance now shows the amount of Ether we deposited. Now we can launch it with the start bot function. The startup can take around 10 seconds while the bot initializes.
[04:32] Trades are already starting and the bot is scanning the mempools in real time I going to leave it running for a full day so it can look for profitable trades then we will return to the results
[04:57] We are back after the bot ran on its own for a full day. The result is solid. The bot generated a clear profit. That probably comes from Ethereum network activity and gas fees because this setup mainly
[05:09] depends on Stablecoin's mempools. Before taking the liquidity back, we have to stop the bot first. Use the stopBot function for that and wait for the process to complete. After it stops, run the withdraw liquidity function.
[05:37] This can take around 35 seconds, so we wait here.
[05:50] Great, the liquidity and profits are now back in the wallet.
[06:07] That covers the full flow, from deployment to withdrawal. If you want to try it yourself, the free guide is linked in the description. If you liked this video, leave a like and subscribe. See you later.
[06:20] you