Balancer V3 On-Chain Activity Analysis

Executive Summary

Balancer V3 has processed $19.1B in swap volume across 16.5M transactions from 1.26M traders, with liquidity and activity heavily concentrated in a small number of ETH and stablecoin pools. Trader behavior shows repeat usage (16 swaps per wallet on average) and periodic spikes in trading activity driven by routing and arbitrage. To strengthen growth, Balancer should focus on deepening liquidity in high-traffic routing pools and expanding incentives around the pools that already dominate trading activity.

Context

The goal of this analysis was to understand how Balancer V3 is being used on-chain.

Key questions included:

• How much trading activity is happening on Balancer V3?
• Are traders returning to the protocol or interacting once?
• Which pools drive most of the trading volume?
• Is liquidity broadly distributed or concentrated?

Understanding these dynamics helps identify where Balancer generates the most value and where growth opportunities exist.

1. Overall Protocol Activity

Balancer V3 has processed over $19.1B in trading volume across 16.5M swaps from 1.26M unique traders.

This puts the average trade at about $959, which suggests that activity is not dominated purely by large traders. Instead, the protocol appears to serve a mix of retail users, automated strategies, and liquidity routing.

Another notable metric is average swaps per wallet (16). That indicates many traders interact with Balancer repeatedly rather than making a single swap and leaving.

Repeated interaction is often a sign of:

• routing by aggregators
• arbitrage strategies
• liquidity rebalancing
• recurring trading activity

2. Trader Participation Over Time

The number of active traders grows significantly when measured across longer windows.

• 7-day traders: ~17.7K
• 30-day traders: ~89.9K
• 30-day traders: ~199.4K
• 90-day traders: ~320.8K

This gap between short-term and longer-term traders usually indicates two groups of users: traders interact with Balancer regularly, often through routing or automated trading & traders that appear during periods of higher market volatility or when routing from aggregators directs trades through Balancer pools.

3. Volume Trends

Looking at the daily volume chart, activity is uneven. Instead of steady usage, volume comes in bursts.

These spikes typically occur when:

• liquidity shifts across chains
• large trades are routed through Balancer pools
• arbitrage opportunities appear between pools

Despite these fluctuations, the cumulative volume trend continues to rise steadily, which suggests the protocol keeps attracting new usage even when daily activity slows down

4. Swap Activity

Balancer has processed 16.5M swaps, and swap frequency follows a similar pattern to volume but not entirely

Activity Peaks

A few notable phases:

• Mid-2025: Trading activity begins to accelerate, with both swaps and volume rising steadily.
• Late-2025: Swap activity reaches its highest levels, indicating a period of intense trading and liquidity movement.
• Early-2026: Volume spikes significantly while swap activity declines slightly, suggesting that fewer but larger trades are being executed.

Overall, the chart highlights how trading behavior on Balancer shifts between high-frequency smaller swaps and lower-frequency large transactions, depending on market conditions and liquidity flows

5. Liquidity Pool Concentration

The liquidity pool analysis shows that a small number of pools account for most trading activity.

Some of the most active pools include: USDC–USDT, WETH-wstETH, USDC-WETH, GHO-USDC, GHO-USDT

Large base-asset pools (ETH pairs) tend to dominate because they serve as primary routing hubs for other tokens.

Stablecoin pools are also heavily used because they provide deep liquidity and minimal price volatility.

6. Pool Usage Patterns

Looking at the distribution of swaps and users across pools, a few patterns stand out.

Stablecoin pools attract high swap counts — These pools are frequently used by traders moving between assets without taking on volatility risk.

ETH pairs dominate liquidity routing — ETH remains one of the most common bridge assets in DeFi trading, which explains why WETH pairs appear near the top of pool rankings.

A small group of pools drives most activity

Like many AMMs, Balancer follows a liquidity concentration model where a few pools serve as primary trading hubs.

7. Protocol Fees vs Trading Activity

To understand how Balancer V3 generates revenue, protocol fees were compared with both trading volume and swap activity over time.

Fee Relationship with Trading Volume

The protocol fee vs volume chart shows a clear positive relationship between the two metrics. Periods with higher trading volume consistently correspond with higher protocol fees.

Several spikes are visible around mid-2025 and late-2025 where trading volume increased sharply, followed by noticeable jumps in protocol revenue. This indicates that Balancer’s revenue model is strongly tied to trading throughput, since fees are generated directly from swaps executed within liquidity pools.

However, the relationship changed after Nov 2025, where volume increased significantly while fee growth is more moderate. The most obvious cause to this was the sharp drop in Balancer TVL after a security incident in November 2025. Also, Balancer V3 expanded heavily into stablecoin infrastructure and boosted pools during this period. These pools use very low swap fees to remain competitive

Overall, the trend confirms that trading volume remains the primary driver of protocol revenue.

Fee Relationship with Swap Activity

The protocol fee vs swaps chart further reinforces this relationship. When swap counts increase, protocol fees also tend to rise.

The chart shows a strong spike in swap activity around late-2025, reaching the highest levels of transaction activity during the observed period. Protocol fees increase during this time as well, although the magnitude is smaller compared to the increase in swap counts.

i dug deeper and discovered the fee spike was as a result of macroeconomic news and geopolitical tensions, including U.S. tariff announcements that caused panic across financial markets during this period.

As prices dropped rapidly, traders rushed to close leveraged positions, arbitrage bots became highly active & large amounts of liquidity moved between DeFi pools

All of this dramatically increased on-chain trading activity

Key Takeaways

• Protocol fees closely track both trading volume and swap activity.
• Periods of high market activity lead to noticeable spikes in protocol revenue.
• Volume appears to be a stronger driver of fee generation than swap count, indicating that larger trades contribute significantly to revenue.
• Variations between volume spikes and fee growth likely reflect differences in pool fee structures and liquidity routing.

These findings highlight that Balancer’s revenue depends heavily on maintaining strong trading activity across its most liquid pools. Encouraging deeper liquidity and attracting larger trades could further increase fee generation for the protocol.

General Key Observations

1. Liquidity is concentrated in a few pools — most activity occurs in ETH and stablecoin pairs.
2. Traders interact with the protocol repeatedly — The average of 16 swaps per wallet suggests ongoing engagement rather than one-time usage.
3. Volume arrives in bursts — Balancer often captures trading flow when large routing or arbitrage opportunities appear.
4. Stablecoins and ETH remain the backbone of liquidity — Most high-volume pools involve these assets.

Recommendation

Balancer Labs should focus on strengthening the pools that already function as liquidity hubs.

• Increasing incentives for high-volume routing pools such as WETH-USDC and stablecoin pairs
• Encouraging deeper liquidity for ETH-based pools that serve as trading bridges
• Expanding integrations with aggregators that route large trade volumes through Balancer

By reinforcing the pools that already drive the majority of trading activity, Balancer can improve routing efficiency and attract additional trading flow.

*…….. view the full dashboard here*