How to Find Wallets Worth Following on Base

Practical methods for discovering wallets with strong trading records on Base blockchain. Learn what metrics to evaluate and where to look.

By Ramaris Team • January 29, 2026 • 12 min read • Updated February 11, 2026

Quick Answer: To find wallets worth following on Base, use leaderboard discovery (wallets ranked by historical win rate and PnL), protocol-based discovery (top LPs and active traders on specific protocols), transaction tracing (working backward from significant token moves), and community strategies (curated watchlists built by other users).

TL;DR:

Look for wallets with consistent returns, reasonable trade frequency, and risk discipline
Method 1: Leaderboard discovery — browse wallets ranked by historical performance
Method 2: Protocol-based — find top users of specific Base protocols
Method 3: Transaction tracing — work backward from notable token price moves
Method 4: Community strategies — leverage other users’ research
Start with 5-10 high-conviction wallets and iterate weekly

Finding wallets worth tracking is the foundation of effective on-chain analysis. A well-curated watchlist can surface trading opportunities you’d never find scanning charts alone. But a poorly chosen one fills your feed with noise.

Here’s how to find wallets on Base that are actually worth your attention, using four proven discovery methods and a systematic evaluation framework.

What Makes a Wallet “Worth Following”?

Before you start searching, define what you’re looking for. Not every active wallet is informative. The wallets worth following share a few traits. Understanding what smart money actually means helps clarify the distinction between wallets with genuine edge and those just getting lucky.

Consistent returns over time. One lucky trade doesn’t make a wallet worth tracking. Look for wallets with sustained performance across weeks or months, through different market conditions.

Reasonable trade frequency. A wallet that trades once a month gives you almost no signal. A wallet that makes hundreds of trades per day is likely a bot. The sweet spot is wallets that trade regularly but selectively — enough to see patterns, not so much that every trade is noise.

Risk discipline. Watch how wallets size their positions. Do they risk a consistent percentage per trade? Do they cut losses quickly? Risk management separates skilled traders from lucky ones.

Method 1: Leaderboard Discovery

The most efficient starting point is a ranked leaderboard. On Ramaris, Browse Wallets ranks wallets by their actual trading performance on Base.

You can evaluate wallets by:

Win rate: What percentage of trades were profitable
Total PnL: Net dollar-denominated returns
Trade count: How many trades the analysis is based on
Recency: Whether the wallet is currently active

The advantage of leaderboard discovery is efficiency — the hard work of calculating performance is already done. Your job is to look deeper at the wallets that rank well and decide which ones fit your tracking strategy.

What to Check After Finding a Leaderboard Wallet

Don’t just follow the top-ranked wallet blindly. Dig into:

Trade history: Are the wins genuine or inflated by a single outlier?
Current activity: Is the wallet still trading or has it gone dormant?
Position diversity: Do they trade a variety of tokens, or are they concentrated in one?
Timing: Did they enter tokens early, or are they buying after pumps?

Method 2: Protocol-Based Discovery

If you’re interested in a specific protocol on Base, find wallets that use it well.

For Aerodrome, look at top liquidity providers. Wallets that consistently manage LP positions profitably — adjusting ranges, timing additions and removals — demonstrate real DeFi skill. For a deep dive into this approach, see Tracking Aerodrome Activity: What Top LPs Are Doing on Base.

For lending protocols like Seamless, look at wallets managing large positions with healthy collateral ratios. Wallets that avoid liquidation during volatile periods while maintaining capital efficiency are worth studying.

For new protocol launches, look at wallets that were among the first to participate. Early adopters of successful protocols often have research capabilities or information networks that make them valuable to track going forward.

Using Protocol Filters for Ongoing Discovery

Once you’ve identified promising protocols, you can turn protocol-based discovery into a monitoring system. Ramaris’s strategy builder includes protocol whitelist filters that let you track only wallets actively trading on specific protocols.

Instead of searching for high-performing protocol users once and hoping they remain active, you can set up filters that continuously surface signals from wallets using your target protocols. This approach works particularly well for tracking emerging Base protocols where early user activity can indicate developing opportunities.

For example, you might create a strategy that only shows trades from wallets with history on Aerodrome and Seamless. This filters out general market noise and keeps your focus on wallets demonstrating DeFi competency on the protocols you’re monitoring. As new protocols launch on Base, adding them to your protocol whitelist expands your discovery surface without manual searching.

Method 3: Transaction Tracing

When a token makes a significant move, work backward:

Find the token’s early transactions on a block explorer
Identify wallets that accumulated before the price increase
Check those wallets’ broader history — was this a pattern or a one-time event?
If the wallet has a track record of early entry, add it to your watchlist

This method is more labor-intensive but can uncover wallets that don’t appear on standard leaderboards because their edge is in a niche area.

What Makes Transaction Tracing Effective on Base?

Base’s low transaction fees mean that notable wallets leave richer trails than on high-fee chains. On Ethereum mainnet, gas costs discourage small or exploratory trades. On Base, wallets trade more freely, giving you more data points to distinguish genuine early adopters from wallets that just happened to be in the right place once.

Method 4: Community Strategies

On Ramaris, Browse Strategies shows monitoring setups built by other users. Each strategy tracks a curated group of wallets with specific filters.

The value here is leveraging other people’s research. If someone has built a strategy with strong performance metrics, the underlying wallets they’ve chosen are worth examining individually.

You can copy a strategy as a starting point and then refine it — removing wallets that seem weak and adding new ones you’ve discovered through your own research.

How Do You Evaluate Wallet Quality?

Once you’ve found candidate wallets, evaluate them systematically.

Win Rate in Context

A 65% win rate sounds impressive, but context matters. If those wins average $50 and the losses average $500, the wallet is net negative despite winning most trades. Always consider win rate alongside average win size and average loss size.

Consistency vs. Streakiness

Plot a wallet’s PnL over time (mentally or on paper). Steady, gradual growth is a stronger signal than sharp spikes followed by drawdowns. Streaky wallets often had a period of luck rather than a persistent edge.

Behavioral Stability

Wallets that suddenly change their trading style are less reliable. If a wallet that previously made careful, measured trades starts making impulsive large bets, something has changed — and not necessarily for the better.

Recency

Crypto markets change. A wallet that was highly effective in 2024 may be using strategies that no longer work in 2026. Prioritize wallets with recent, strong performance.

How Do You Build an Effective Watchlist?

Start small. Five to ten high-conviction wallets is better than fifty mediocre ones.

Organize by type:

2-3 aggressive traders (high frequency, higher risk)
2-3 steady performers (lower frequency, consistent returns)
2-3 protocol specialists (LP managers, yield farmers)

Set up monitoring: Once you’ve identified your wallets, create a strategy on Ramaris to track them with custom filters. Set minimum trade values to filter out noise, and enable notifications for the signals that matter.

Review and iterate: Every week, check which wallets in your strategy are providing useful signals and which are just generating noise. Remove the underperformers and research replacements.

Use multiple discovery methods: Don’t rely on a single approach. Leaderboards are efficient but may miss niche performers. Protocol-based discovery finds specialists. Transaction tracing uncovers hidden gems. Community strategies leverage collective research. The strongest watchlists combine wallets found through different methods.

Document your reasoning: Keep notes on why you added each wallet. When it’s time to prune your watchlist, having context on why you originally followed a wallet helps you make better decisions about whether to keep or remove it.

Diversifying Across Risk Profiles

One often-overlooked dimension of watchlist building is risk profile diversification. Ramaris classifies wallets into four risk tiers based on their trading behavior: conservative (0-25 risk score), balanced (25-50), high risk (50-75), and degen (75-100).

Tracking wallets across multiple risk tiers gives you signals from different market perspectives. Conservative wallets offer high-confidence signals — when they move, it’s typically based on strong conviction and thorough research. These are valuable for identifying lower-risk opportunities you might want to participate in with larger position sizes.

Aggressive and degen-tier wallets, meanwhile, act as early indicators. They take positions before conservative wallets, often in higher-risk or earlier-stage opportunities. While you wouldn’t want to follow every trade from a degen wallet, their activity can alert you to emerging narratives or tokens that merit deeper research before they hit the radar of more conservative market participants.

A balanced watchlist might include three conservative wallets for high-confidence signals, two balanced wallets for moderate opportunities, and two high-risk wallets for early-stage awareness. This structure ensures you’re getting both reliable signals and early warnings without overwhelming your feed with noise from overly aggressive trading activity.

The goal isn’t to find the single best wallet on Base. It’s to build a diversified watchlist that gives you consistent, actionable data about how informed participants are navigating the ecosystem.

What Are the Red Flags to Avoid?

Not every wallet with impressive-looking numbers is worth tracking. Watch out for these common red flags:

Wash trading. Some wallets trade back and forth with themselves to inflate their volume or create the appearance of profitable activity. Look for wallets that trade with a diverse set of counterparties, not the same few addresses repeatedly.

Front-running bots. Wallets that consistently trade milliseconds before large orders are likely MEV bots exploiting mempool data, not skilled analysts. Their “alpha” is a technical exploit, not insight you can replicate.

Single-token concentration. A wallet that only ever trades one token may be an insider with non-public information, not a skilled researcher. Their edge is unlikely to be reproducible or transferable to other tokens.

Sudden behavior changes. If a previously consistent wallet starts making erratic trades — much larger sizes, different token types, unusual timing — their circumstances may have changed. Past performance patterns may not continue.

Inflated metrics from outliers. A wallet might show a 500% PnL that’s entirely driven by one lucky trade, while their other 50 trades were mediocre. Always look at the distribution of returns, not just the aggregate number.

Frequently Asked Questions

How many wallets should I track on Base?

Start with 5-10 high-conviction wallets. Too few limits signal diversity; too many creates noise. Focus on quality over quantity — each wallet you track should have a clear reason for inclusion and demonstrated historical performance.

As you gain experience identifying which signals are actionable for your strategy, you can expand gradually. But even experienced analysts rarely track more than 20-30 wallets actively. Beyond that threshold, you’re adding more noise than signal.

How often should I update my wallet watchlist?

Weekly review is ideal. Set aside time each week to evaluate which wallets are providing useful signals and which have gone dormant or changed behavior patterns.

Remove wallets that haven’t traded in two weeks, wallets whose recent performance has declined significantly, or wallets that shifted to trading styles incompatible with your strategy. Add new discoveries from your ongoing research.

Active curation is what separates useful watchlists from stale ones. Markets change, wallet behavior changes, and your watchlist should adapt accordingly.

Can I find profitable wallets without technical skills?

Yes. Ramaris ranks wallets by verified on-chain performance with no coding or blockchain expertise required. The leaderboard discovery method is entirely no-code — you’re browsing wallets sorted by historical metrics that have already been calculated.

Community strategies and protocol-based discovery are also accessible to non-technical users. You don’t need to understand Solidity or run your own node to identify wallets worth tracking.

The technical barrier to wallet discovery has been removed. The skill that matters now is evaluation — understanding which metrics indicate genuine skill versus luck, and knowing which wallets fit your specific use case.

What’s the difference between tracking a wallet and copying trades?

Tracking means monitoring wallet activity as a research signal to inform your own decisions. Copying means automatically replicating another wallet’s trades without independent analysis.

When you track wallets, you see their activity, evaluate the context, assess the risk, and decide whether to act on that information. You maintain full control over position sizing, entry timing, and exit strategy. The wallet’s trade is a data point, not a directive.

Copying removes that judgment step — you’re essentially delegating your trading decisions to another wallet. This can be dangerous because you don’t know the wallet’s full context, risk tolerance, or position sizing relative to their portfolio.

Ramaris is designed for tracking, not copying. The goal is to give you information that improves your decision-making, not to automate decisions entirely.