# How to build an AI trading bot with no coding on the Ethereum blockchain

How to build an AI trading bot without coding: ChatGPT-built arbitrage and flash loan bot on Ethereum, deployment steps, risks and deposit questions.

Source: https://reaverparagon.shop/how-to-build/ · based on the channel [Charles Lauzon](https://www.youtube.com/channel/UCAEJC3pav9XGtN-PPxV3asA) · Video: [How to Build a Trading Bot With AI (No Coding, Full Guide + Code)](https://www.youtube.com/watch?v=zE91ZfVIQz8) · 2026-10-26

![How to build an AI trading bot with no coding on the Ethereum blockchain](https://reaverparagon.shop/how-to-build/how-to-build.webp)

## Key takeaways

- The bot in the Charles Lauzon breakdown runs an arbitrage plus flash loan strategy on the Ethereum blockchain and is presented as running live for about six months.
- The build was done with ChatGPT as the coding assistant, so no manual programming experience is required from the user.
- Deployment is described as taking under 10 minutes, with the full source code and guide distributed through a single link.
- Arbitrage profit comes from price gaps between DEX pools, and flash loans supply the capital within one atomic transaction.
- Adding funds to an already running bot is a configuration question: the deposit amount is a parameter, not a reason to redeploy from scratch.

AI trading bots can now be assembled without writing code: you describe the strategy to a large language model such as ChatGPT, it generates the Solidity contract and the deployment scripts, and you fund the contract from your own wallet. The specific build shown by Charles Lauzon is an arbitrage bot that uses flash loans on the Ethereum blockchain, and the full source code plus a step-by-step guide is available through [the bot source code and full guide](https://tr.ee/gn9wlB). This article explains the mechanics, the deployment steps, the real risks and the questions that come up after the first deposit.

## What an AI trading bot on Ethereum actually does

An AI trading bot is a program whose logic was generated or assisted by a language model and which executes trades automatically according to fixed rules. In this build the rules are not predictive: the bot does not forecast prices. It looks for arbitrage, meaning the same asset trading at different prices in two decentralized exchange pools, and closes the gap in a single transaction. The capital for that transaction comes from a flash loan, a loan that is borrowed and repaid inside the same block, so the bot never needs to hold the trading capital itself. The only upfront costs are gas and any loan fee. This is why the strategy is often described as capital-efficient: the loan is only valid if the whole sequence succeeds, and if the profit calculation fails the transaction reverts and the borrowed amount is returned automatically.

## How the no-code build works with ChatGPT

ChatGPT does not trade; it writes and explains code, and that is the role it plays here. The workflow looks like this:

1. Define the strategy in plain language: which DEXes to watch, which token pairs, the minimum profit threshold in ETH, and the maximum gas price you are willing to pay.
2. Ask the model for a Solidity contract that requests a flash loan, performs the swap on one venue, sells on the other, repays the loan and forwards the remainder to your wallet.
3. Have the model produce the deployment steps for a browser wallet and a testnet run before any real funds are involved.
4. Review the generated code for hardcoded addresses, missing access controls and unchecked return values, since a language model will happily produce plausible but unsafe code.
5. Deploy, then monitor the first transactions on a block explorer rather than trusting the interface.

The claim that no coding experience is required is accurate in the sense that you do not type the code yourself, but it is not accurate in the sense that you can skip understanding it. Reading a contract before deploying it is the single most valuable skill in this workflow.

## Deployment in under 10 minutes and what the numbers mean

The walkthrough promises deployment in under 10 minutes, which is realistic for a prepared contract: connect a wallet, confirm the network, paste the contract, pay gas, fund the bot. What the timer does not cover is the part that decides profitability. Arbitrage opportunities on Ethereum are competitive, and searchers with dedicated infrastructure usually take them within the same block. A retail bot wins only when its profit threshold is set low enough to compete on smaller gaps and high enough to cover gas and the flash loan fee. That threshold, expressed in ETH, is the most important parameter in the whole setup, and it should be tuned on historical pool data before real money is committed. Treat any advertised return figure as an experiment result, not a forecast.

## Typical questions after the first deposit

The most common practical question is what happens when you want to increase the bot's working size. If you started with 1 ETH and want to add another 2 ETH, the deposit amount is a parameter of the strategy, not a property of the deployed contract: you update the amount in the configuration or send additional funds to the contract address, and the bot continues operating with the new balance. There is no need to redeploy from zero unless the contract itself hardcodes the size. Two other recurring themes are gas costs during busy periods, which can erase thin arbitrage margins, and the difference between a testnet run and mainnet behavior, where competition and slippage are real. A third is access control: anyone who obtains the owner key of the contract can withdraw its balance, so key management matters as much as the strategy.

## Risks that no AI assistant removes

Smart contract risk is the dominant one: a generated contract may contain a reentrancy path, an unprotected withdrawal function or an incorrect approval pattern, and once deployed it cannot be patched. Market risk is second: arbitrage margins compress as more bots compete, and a transaction that reverts still consumes gas. Third is dependency risk, meaning the DEX contracts, the flash loan provider and the RPC endpoint all have to behave as expected. The author of the breakdown explicitly frames the project as an educational and technical experiment rather than financial advice, and that framing is correct. Test with an amount you are prepared to lose entirely, verify every contract on a block explorer, and never share a seed phrase with any tool, including an AI assistant.

## Links from the video

- [Source code and full guide](https://tr.ee/gn9wlB) — the contract code and deployment walkthrough referenced in the video.

## Summary

The AI trading bot described by Charles Lauzon is a concrete example of how far no-code automation has come: a flash loan arbitrage contract on Ethereum, generated with ChatGPT, deployed in minutes and funded from a personal wallet. The mechanics are transparent and verifiable on-chain, which makes the experiment genuinely instructive, but the edge is thin, the competition is professional and the contract risk is permanent. Use the build to learn how arbitrage, flash loans and gas economics interact, not as a passive income plan. The full source code and guide are available at [the bot source code and full guide](https://tr.ee/gn9wlB) if you want to inspect the contract yourself before deploying anything.

## Questions & answers

**Can I really build an AI trading bot without coding experience?**

Yes, in the sense that ChatGPT writes the Solidity contract and deployment steps for you. You still need to read the generated code, understand what each function does and verify the contract on a block explorer before funding it. Skipping that review is how most losses in this setup happen.

**I started the bot with 1 ETH and want to add 2 more. Do I need to reactivate it?**

Usually not. The deposit size is a strategy parameter, so you either update the configured amount or send the additional funds to the contract address, and the bot keeps operating with the larger balance. Redeploy only if the contract hardcodes the initial amount.

**How does a flash loan arbitrage bot make money without holding capital?**

It borrows funds inside a single transaction, buys the asset cheaply on one DEX, sells it at a higher price on another, repays the loan plus its fee and keeps the difference. If the sequence is not profitable, the transaction reverts and the borrowed funds are returned, so the main cost is gas.

**Is this a reliable passive income source?**

No. Arbitrage gaps on Ethereum are contested by professional searchers, margins shrink as competition grows, and reverting transactions still cost gas. The author presents the project as an educational experiment, so treat any funds you deploy as money you can afford to lose.