Why Most Crypto Bots Get Sandwiched (And How to Prevent It)

If you've ever built or used a crypto trading bot, you've probably encountered the dreaded "sandwich attack." It’s a common problem in decentralized finance (DeFi), where sophisticated actors exploit your transactions for profit. I’ve spent years building trading bots and analyzing MEV (Miner Extractable Value), and I’m here to break down why sandwich attacks happen, how they work, and—most importantly—how you can prevent them.

What Is a Sandwich Attack?

A sandwich attack is a type of MEV exploit where an attacker "sandwiches" your transaction between two of their own. Here’s how it works:

1. Front-Running: The attacker detects your pending transaction (e.g., a swap on Uniswap) and submits their own transaction with a higher gas fee to execute first.
2. Your Transaction: Your transaction executes at a worse price because the attacker’s front-run altered the pool’s state.
3. Back-Running: The attacker sells the tokens they bought in step 1, profiting from the price movement caused by your transaction.

The result? You get a worse price, and the attacker pockets the difference. This is especially painful for bots that rely on precise execution to be profitable.

How Bad Is It?

Let’s talk numbers. In 2023, MEV-related exploits extracted over $1 billion from Ethereum users. Sandwich attacks account for a significant portion of this. For example, a study by Flashbots found that 40% of MEV profits come from sandwich attacks. Even a small bot making $100/day in profits can lose $30-$50 daily to sandwiching.

Why Do Most Bots Get Sandwiched?

Most bots are vulnerable because:

1. They Use Public Mempools: Transactions are broadcast to the public mempool, where attackers can easily spot and exploit them.
2. They Don’t Use Advanced MEV Protection: Many bots rely on simple strategies like setting high gas fees, which don’t solve the root problem.
3. They Lack Slippage Control: Bots often don’t account for slippage, making them easy targets.

How to Prevent Sandwich Attacks

Here’s the good news: you can protect your bot from sandwich attacks. I’ll walk you through practical steps I’ve implemented in my own bots.

1. Use Jito Bundles (Solana) or Flashbots (Ethereum)

One of the most effective ways to prevent sandwich attacks is to avoid the public mempool entirely. On Solana, you can use Jito bundles, which allow you to submit transactions directly to validators. On Ethereum, Flashbots serve a similar purpose.

Here’s an example of submitting a Jito bundle on Solana:

const { Connection, Keypair } = require("@solana/web3.js");
const jitoClient = require("@jito-client");

const connection = new Connection("https://api.mainnet-beta.solana.com");
const wallet = Keypair.fromSecretKey(...); // Your wallet

const transaction = await connection.createTransaction({
  instructions: [...], // Your swap instructions
  payer: wallet.publicKey,
});

const bundle = {
  transactions: [transaction],
  signers: [wallet],
};

const jito = new jitoClient.JitoClient("https://jito-api.com");
await jito.sendBundle(bundle);

Using Jito bundles ensures your transaction is executed without being exposed to the public mempool, drastically reducing the risk of sandwiching.

2. Optimize Slippage Tolerance

Slippage tolerance is critical. If your slippage is too high, attackers can exploit it. If it’s too low, your transaction might fail. I recommend using dynamic slippage based on market conditions.

Here’s how I calculate dynamic slippage in Python:

def calculate_slippage(pool_liquidity, trade_size):
    slippage = (trade_size / pool_liquidity) * 100
    return min(slippage, 2.0)  # Cap slippage at 2%

This formula adjusts slippage based on the trade size relative to pool liquidity, making it harder for attackers to exploit.

3. Use MEV-Resistant Protocols

Some DeFi protocols are designed to resist MEV. For example, CowSwap uses batch auctions to prevent front-running. Similarly, 1inch Fusion aggregates liquidity in a way that minimizes MEV risks.

4. Monitor and Adapt

Finally, always monitor your bot’s performance. Tools like Tenderly and Etherscan provide detailed insights into your transactions. If you notice suspicious activity, tweak your strategy immediately.

Here’s an example of monitoring a transaction with Tenderly:

const tenderly = require("tenderly");

tenderly.setup({ projectSlug: "your-project-slug", apiKey: "your-api-key" });

const transactionHash = "0x..."; // Your transaction hash

const txDetails = await tenderly.transactions.get(transactionHash);
console.log(txDetails);

Lessons I’ve Learned

1. MEV Is Inevitable: You can’t eliminate MEV entirely, but you can minimize its impact.
2. Privacy Matters: Avoiding the public mempool is crucial.
3. Adaptability Is Key: Markets evolve, and so should your strategies.

Conclusion

Sandwich attacks are a harsh reality in DeFi, but they’re not unbeatable. By using tools like Jito bundles, optimizing slippage, and leveraging MEV-resistant protocols, you can protect your bot and maximize its profitability. Remember, the crypto landscape is always changing, so stay informed and keep iterating on your strategies. With the right approach, you can turn MEV from a threat into an opportunity.

🚀 Try It Yourself & Get Airdropped

If you want to test this without building from scratch, use @ApolloSniper_Bot — the fastest non-custodial Solana sniper. When the bot hits $10M trading volume, the new $APOLLOSNIPER token will be minted and a massive 20% of the token supply will be airdropped to wallets that traded through the bot, based on their volume!

Join the revolution today.