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

If you’ve ever tried building or running a crypto trading bot, you’ve likely encountered the dreaded "sandwich attack." It’s a common issue that can turn what seems like a profitable strategy into a losing one. In this article, I’ll explain what sandwich attacks are, why they happen, and how you can protect your bot using tools like Jito bundles. I’ll also share some real numbers and practical code examples to help you understand the concepts better.

What Are Sandwich Attacks?

Sandwich attacks are a type of Maximal Extractable Value (MEV) exploit where malicious actors front-run and back-run your transaction to profit at your expense. Here’s how it works:

1. Front-running: The attacker detects your transaction (e.g., a swap on a DEX like Uniswap) in the mempool and submits their own transaction with a higher gas fee to execute first.
2. Your Transaction: Your transaction executes, but because the attacker’s front-run transaction has already changed the price, you get a worse rate.
3. Back-running: The attacker submits another transaction immediately after yours to revert the price change and lock in their profit.

The result? You’re effectively "sandwiched" between the attacker’s two transactions, paying more for your trade while they pocket the difference.

Why Do Sandwich Attacks Happen?

Sandwich attacks thrive in environments where transactions are visible in the mempool before they’re executed. On Ethereum and other EVM-compatible chains, transactions are publicly visible, allowing MEV bots to scan for profitable opportunities. These bots use sophisticated algorithms to detect large trades or trades that will significantly impact the price of an asset.

For example, if your bot submits a swap for 10 ETH worth of Token A, an MEV bot might notice that this trade will move the price of Token A and decide to sandwich it.

How Sandwich Attacks Impact Your Bot

The impact of sandwich attacks can be devastating. Let’s say you’re trading on Uniswap, and you submit a swap for 10 ETH worth of Token A. Here’s what might happen:

1. The MEV bot front-runs your transaction, buying Token A at the current price.
2. Your transaction executes, pushing the price of Token A higher.
3. The MEV bot back-runs your transaction, selling Token A at the inflated price.

As a result, you end up paying a higher price for Token A, while the MEV bot makes a profit. In some cases, the slippage can be so severe that your bot loses money on the trade.

Protecting Your Bot with Jito Bundles

One of the most effective ways to protect your bot from sandwich attacks is by using Jito bundles. Jito is a Solana-based solution that leverages bundled transactions to reduce the risk of MEV exploits. Here’s how it works:

• Bundled Transactions: Instead of submitting transactions individually, you bundle them together. This makes it harder for MEV bots to front-run or back-run your trade.
• Private Mempool: Jito uses a private mempool, which hides your transactions from the public mempool until they’re executed.

How to Use Jito Bundles

Here’s a practical example of how you might use Jito bundles in Solana to protect your bot:

from solana.rpc.api import Client
from solana.transaction import Transaction
from solana.publickey import PublicKey
from solders.signature import Signature
from solders.instruction import Instruction

# Initialize Solana client
client = Client("https://api.mainnet-beta.solana.com")

# Define your transactions
tx1 = Transaction().add(
    Instruction(
        program_id=PublicKey("SwaPPrOgrAmId"),
        accounts=[
            # Add accounts for your swap
        ],
        data=b"YourSwapData",
    )
)

tx2 = Transaction().add(
    Instruction(
        program_id=PublicKey("SoMeOtherProgram"),
        accounts=[
            # Add accounts for another operation
        ],
        data=b"OtherData",
    )
)

# Bundle transactions
bundle = [tx1, tx2]

# Send the bundle using Jito
response = client.send_bundle(bundle)

# Check the result
if response["result"]:
    print("Bundle executed successfully!")
else:
    print("Bundle failed:", response["error"])

In this example, we’re bundling two transactions together and sending them using Jito’s send_bundle method. This reduces the risk of sandwich attacks by making it harder for MEV bots to isolate and exploit your transactions.

Real Numbers: How Much Can You Save?

Let’s look at some real numbers to understand the impact of sandwich attacks and the benefits of using Jito bundles.

• Without Jito: A bot swapping 10 ETH on Uniswap might experience slippage of 2-5% due to sandwich attacks. That means losing 0.2 to 0.5 ETH per trade.
• With Jito: By bundling transactions and using a private mempool, slippage can be reduced to 0.5% or less. That’s a savings of up to 0.45 ETH per trade.

Over time, these savings add up. If your bot executes 100 trades per day, Jito could save you 45 ETH daily, or over 16,000 ETH annually.

Lessons Learned

From my experience building and running crypto bots, here are some key takeaways:

1. Visibility is Vulnerability: Transactions in public mempools are sitting ducks for MEV bots. If you’re not using a private mempool, you’re likely being exploited.
2. Bundling Works: Bundling transactions makes it harder for MEV bots to isolate and exploit your trades.
3. Choose the Right Tools: Solutions like Jito bundles are essential for protecting your bot on Solana. On Ethereum, consider using Flashbots for similar protection.

Conclusion

Sandwich attacks are a major challenge for crypto trading bots, but they’re not insurmountable. By understanding how these attacks work and using tools like Jito bundles, you can protect your bot from MEV exploits and maximize your profits. Remember, in the world of crypto trading, every detail matters. Stay informed, use the right tools, and keep optimizing your strategies.

🚀 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.