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

If you’ve ever tried running a crypto trading bot, you’ve likely encountered the frustrating phenomenon of getting "sandwiched." You place a trade, and almost instantly, someone slips in front of you and behind you, squeezing your profits or even turning your trade into a loss. This is not just bad luck—it’s MEV (Miner Extractable Value) at work, specifically through sandwich attacks. In this article, I’ll explain how sandwich attacks happen, why bots are particularly vulnerable, and how you can protect your trades using tools like Jito bundles.

---

What Are Sandwich Attacks?

Sandwich attacks are a form of MEV where an attacker exploits the order of transactions to profit at your expense. Here’s how it works:

1. Front-Running: The attacker detects your pending transaction (e.g., a swap on a DEX) and places their own transaction right before yours.
2. Back-Running: After your transaction executes, the attacker places another transaction right after it to profit from the price movement caused by your trade.

For example, if you’re trying to buy ETH on Uniswap, the attacker might:

• Buy ETH first (front-running), driving up the price.
• Sell ETH immediately after your trade (back-running), benefiting from the higher price.

This process effectively "sandwiches" your trade, leaving you with a worse execution price.

---

Why Are Bots Vulnerable?

Bots are prime targets for sandwich attacks because they often execute predictable, high-volume trades. Here’s why:

1. Public Mempool: Most bots broadcast their transactions to the public mempool, making them visible to attackers.
2. Predictable Behavior: Bots often follow specific strategies (e.g., arbitrage or liquidation), which attackers can identify and exploit.
3. Low Gas Fees: Bots typically optimize for low gas fees, making their transactions easier to front-run.

---

Real Numbers: The Cost of Sandwich Attacks

Let’s quantify the impact of sandwich attacks. Suppose you’re trading $10,000 worth of ETH on Uniswap:

• Without a sandwich attack: You might get 4.9 ETH.
• With a sandwich attack: You might get only 4.7 ETH.

That’s a $200 loss on a single trade—and bots often make thousands of trades per day. According to Flashbots, MEV extraction on Ethereum has totaled over $1 billion since 2020, with sandwich attacks accounting for a significant portion.

---

How Jito Bundles Protect Against Sandwich Attacks

Jito is a Solana-based MEV protection platform that helps traders avoid sandwich attacks by bundling transactions together. Here’s how it works:

1. Private Transactions: Jito allows you to submit transactions directly to validators without broadcasting them to the public mempool.
2. Bundles: Transactions are grouped into bundles and executed atomically, making it harder for attackers to front-run or back-run your trades.
3. Priority Fees: You can include priority fees to ensure your bundle is executed quickly and securely.

---

Practical Example: Using Jito Bundles

Let’s walk through a practical example of using Jito bundles to protect a trade. I’ll use Solana’s @solana/web3.js library for this example.

First, install the required packages:
npm install @solana/web3.js @jito-labs/core

Now, let’s create a bundle with your trade:

const { Connection, Keypair, Transaction } = require('@solana/web3.js');
const { Bundle, JitoClient } = require('@jito-labs/core');

// Initialize connection and client
const connection = new Connection('https://api.mainnet-beta.solana.com');
const jitoClient = new JitoClient(connection);

// Your wallet and transaction
const wallet = Keypair.generate();
const transaction = new Transaction().add(...); // Your trade logic here

// Create a bundle
const bundle = new Bundle([transaction], wallet);

// Submit the bundle
(async () => {
  const bundleId = await jitoClient.sendBundle(bundle);
  console.log(`Bundle submitted with ID: ${bundleId}`);
})();

In this example, your trade is included in a Jito bundle, protecting it from sandwich attacks. The bundle is executed atomically, ensuring your trade isn’t front-run or back-run.

---

Lessons Learned

Here are some key takeaways from my experience with sandwich attacks and MEV protection:

1. Avoid the Public Mempool: Always use private transaction channels like Jito bundles to minimize visibility.
2. Optimize Gas Fees: While low gas fees are important, prioritizing transaction speed can reduce the risk of attacks.
3. Monitor MEV Trends: Stay updated on MEV developments and tools to protect your trades effectively.
4. Test Thoroughly: Before deploying a bot in a live environment, test it extensively in a simulated setting to identify vulnerabilities.

---

Conclusion

Sandwich attacks are a pervasive issue in crypto trading, especially for bots. By understanding how these attacks work and leveraging tools like Jito bundles, you can protect your trades and maximize your profits. MEV is a complex and evolving challenge, but with the right strategies and tools, you can stay one step ahead of attackers. Remember, in the world of crypto trading, visibility is vulnerability—so keep your transactions private and your strategies secure.

Happy trading!

---

🚀 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.