Understanding Bots and Whales on Ethereum: A Beginner’s Guide

Bots can automate trading and other on-chain activity, while whales can move market prices in a big way because of the size of their holdings.

In this article, I’ll break down the roles, benefits, and risks these players bring, then show you a no-code way to protect your token from them.

If you want to add anti-bot and anti-whale mechanisms, we recommend checking out our dedicated article on the topic.

For token creators and admins, bots and whales are two factors that can directly affect token performance.

Through automation, bots make trading more efficient, but they also introduce real market manipulation risks.

Whales, through their holding strategies, can shift market trends.

Let’s break it down.

What Are Bots on Ethereum?

Bots on Ethereum are automated programs built to interact with the blockchain and handle different tasks. These can range from basic transactions to advanced trading strategies.

Bots can execute transactions, manage assets, and even run arbitrage, all without human input. Many are simply executable scripts that still need to be monitored.

Types of Bots on Ethereum

Below, I’ll walk you through the most well-known bot categories you’ve probably heard about. But if you want the full breakdown of every bot type found on the network, check out our bot classification guide for Ethereum.

1. Arbitrage Bots: These bots take advantage of price gaps across different exchanges. For example, if Ethereum is priced lower on one exchange than another, the bot buys at the lower price and sells at the higher one, capturing the difference.
2. Market-Making Bots: These bots add liquidity to the market by placing buy and sell orders. They profit from the bid-ask spread, the gap between the buy and sell prices.
3. Sniper Bots: sniper bots quickly buy newly listed tokens on decentralized exchanges (DEX) before human traders can react. These bots monitor the blockchain for new token listings and execute buys almost instantly.
4. MEV Bots (Maximum Extractable Value): MEV bots are advanced tools that exploit inefficiencies on the Ethereum blockchain. They use front-running, back-running, and sandwich attacks to maximize profit from transaction ordering.

How Bots Work on Ethereum

Bots on Ethereum run on predefined rules and algorithms. They interact with the blockchain through smart contracts and APIs to monitor market conditions and execute transactions. Here is a closer look at how they operate:

• API Integration: Bots connect to exchanges through APIs to access market data and execute trades.
• Smart Contracts: They use smart contracts to automate trading strategies and make sure transactions execute according to the defined rules.
• Algorithmic Trading: Bots use complex algorithms to analyze market trends, spot trading opportunities, and execute transactions at the right moments.

How Bots Shape the Market Today

Bots currently account for an average of US$ 20.000 million per month in transaction volume on the Ethereum network, according to data from eigen.phi on its website.

Sandwich-style bots take the largest share of volume, with US$ 17.700 million. Even though they represent almost 90% of transaction volume, their share of profit drops sharply.

Most profit comes from MEV bots, with US$ 5 million compared to US$ 1.5 million from sandwich bots. MEV bots generate more profit with fewer transactions.

The Role of Whales in Ethereum

Whales are individuals or entities that hold large amounts of Ethereum. Their significant holdings allow them to influence market prices through their trading activity.

Key Traits of Whale Behavior

1. Market Impact: When whales make large transactions, they can trigger major price swings. A whale selling a large amount of Ethereum can push prices down, while a large buy can drive prices up.
2. Strategic Moves: Whales often trade in patterns. They may accumulate Ethereum over time, then sell into price peaks. By studying these patterns, smaller traders can anticipate market moves.
3. Liquidity Provision: Whales often add liquidity to the market, making it easier for other traders to buy and sell Ethereum without causing major price changes.

Analyzing Whale Behavior

To predict and understand whale moves, traders often use tools and techniques such as:

• On-Chain Analysis: Tracking large transactions and wallet activity on the blockchain.
• Market Sentiment Analysis: Gauging the market’s overall mood through social media and news trends.
• Historical Patterns: Studying historical data to spot recurring trading patterns and behaviors.

How Bots and Whales Interact

Bots, with their speed and efficiency, can sometimes offset whale influence by reacting quickly to market shifts. At the same time, whales can deploy sophisticated bots to manage their large holdings more effectively.

Anti-Bot and Anti-Whale Tools

To reduce the impact of bots and whales, especially during token launches or trading activity, developers and token creators can add anti-bot and anti-whale measures. Smithii offers anti-bot and anti-whale tools built to handle these challenges effectively.

Smithii is one of the few software tools on the market that offers an anti-bot and anti-whale solution with no coding required:

• For Whales: you’ll find it in the token manager under anti-whales.
  • Trade Amount Limit: This feature sets a maximum number of tokens that can be traded in a single transaction, preventing large trades that could disrupt the market.
  • Límite de Cantidad por Bloque: Esto restringe la cantidad total de tokens que se pueden comerciar dentro de un solo bloque, asegurando que ninguna entidad pueda monopolizar la actividad de trading dentro de ese bloque.
• For Bots: you’ll find it in the token manager section under anti-bots.
  • Time Limit per Trade: This adds a minimum time gap between transactions, making high-frequency trading bots less effective.
  • Número de Bloque para Deshabilitar Anti-Bots: Esto permite a los creadores de tokens establecer números de bloque específicos donde las medidas anti-bot se deshabilitan temporalmente, facilitando un trading justo durante eventos críticos como lanzamientos de tokens.

Expected Block vs. Actual Block Due to Bots

On the Ethereum blockchain, both the order and makeup of blocks can be shaped by bot activity. This gap between the expected block and the actual block matters if you want to understand how the blockchain really behaves.

You can check this information by clicking a block on mempool.

How Bots Influence Block Composition

Bots can change blocks in the following ways:

• Front-Running: Bots can spot incoming transactions and jump ahead of them by paying higher gas fees to get their own transactions prioritized, changing the expected transaction order inside a block.
• Sandwich Attacks: Bots place a buy order before a large transaction and a sell order right after it, profiting from the price move caused by that large transaction.
• Transaction Bundling: Bots can bundle multiple small transactions to manipulate gas prices or execute strategic trades, which can change the final makeup of the block.

How Block Validators Use Bots

Block validators, especially in a Proof of Stake (PoS) system like Ethereum, can use bots to improve both profitability and efficiency.

Strategies Validators Use

As part of the PoS consensus mechanism, validators are responsible for verifying new blocks and adding them to the chain in exchange for rewards. To do that, yes, they use bots, and they are basically trying to do the following:

1. MEV Extraction: Validators can deploy MEV bots to capture extra value by strategically ordering transactions inside the blocks they validate.
2. Gas Optimization: Bots can help manage gas prices efficiently, making sure validators maximize returns from transaction fees.
3. Arbitrage Opportunities: Validators can use bots to spot and capture arbitrage opportunities across different DEXs, increasing their profitability.

Ethical Considerations

While validator-run bots can improve efficiency and profitability, they also raise ethical questions around fairness and market manipulation. It is up to validators to decide how far they are willing to compromise the integrity of the ecosystem.

Either way, bots are a necessary part of the ecosystem, just like whales, which can also help many projects.

Conclusion

Bots bring automation and efficiency, but they can also watch for new tokens. Whales, meanwhile, add major volatility to the market. By using tools like the ones offered by Smithii, you can choose to avoid the impact of both.