Solana (SOL) traders can see almost every wallet transaction on-chain. The hard part is deciding which wallets are worth following, and what their activity actually means.
Usually, whale tracking focuses on wallet size and large transactions. Smart money tools go further by looking at factors such as historical profitability, win rate, trading consistency and previous behavior.
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Other tools serve different parts of the process, from token analytics to raw transaction verification and trade execution. For traders building a Solana research stack in 2026, these five platforms stand out in their own way.
At a glance
| Platform | Best for |
| Guardis | Combining smart money signals with token-risk analysis |
| Nansen | Labeled wallets and deep on-chain intelligence |
| Birdeye | Wallet performance and token analytics |
| Solscan | Verifying raw Solana wallet and transaction activity |
| Jupiter | Moving from research to trade execution |
1. Guardis — Best for combining smart money signals with token-risk analysis
Guardis is a non-custodial, AI-powered on-chain intelligence and trading platform initially built on Solana.
Its approach to smart money tracking focuses on wallet performance rather than wallet size. Instead of simply identifying addresses with the largest balances, Guardis surfaces wallets with stronger historical win rates.
That pivot is useful for traders who are not only focused on where large amounts of capital are moving, and whether the wallets behind those transactions have demonstrated a meaningful trading record.
Guardis also combines wallet intelligence with Warden AI, its automated token-risk system. Warden AI rates tokens from 0 to 100 from the moment they launch using factors including smart contract vulnerabilities, suspicious wallet activity and liquidity risk. Scores above 80 indicate severe concern.
This is unique for Solana, which sees thousands of tokens launched, with volumes that typically cannot be efficiently analyzed in an instant, but Guardis’ tool is able to provide instantaneous risk assessment.
This creates a useful two-part workflow:
Who is buying?
and
What are they buying?
A historically successful wallet entering a token can be interesting, but it does not make an unsafe token safe. Combining wallet-performance signals with token-level risk analysis gives traders more context before acting.
Guardis also includes attention markets, a pro trading terminal and Telegram integration for receiving alerts, monitoring signals and executing trades.
Best for: Traders who want smart money discovery and token-risk analysis in the same workflow.
2. Nansen — Best for labeled wallet intelligence
Nansen provides on-chain wallet intelligence for Solana, including Smart Money tracking, wallet PnL analysis and labeled addresses. Its strength is the additional context it attaches to blockchain addresses.
Instead of looking only at an anonymous wallet and its transactions, traders can use wallet labels and performance data to better understand the types of entities or traders behind activity.
Nansen’s Solana tools include Smart Money tracking, wallet PnL analysis, token-holder research and wallet profiling.
Its definition of Smart Money also goes beyond balance. The platform evaluates factors including realized PnL, win rate and trading history when identifying wallets with notable track records.
For traders conducting deeper wallet research, that combination of labels and historical performance can help answer questions such as:
- Is this wallet historically profitable?
- What other tokens has it traded?
- Is the wallet part of a known category?
- Are multiple Smart Money wallets entering the same asset?
Nansen also now allows users to move from analysis into Solana spot trading from within its ecosystem.
Best for: Traders who want detailed wallet labels, profiling and deeper on-chain context.
3. Birdeye — Best for wallet performance and token analytics
Birdeye combines Solana market and token data with wallet-performance analytics.
Its Wallet Tracker is particularly relevant for traders trying to identify high-performing addresses.
Users can analyze individual Solana wallets and examine metrics including:
- win rate;
- profit and loss;
- portfolio holdings;
- trading history; and
- overall wallet performance.
Birdeye also provides Top Wallet functionality for discovering wallets based on characteristics such as PnL and win rate.
That makes the platform useful when a trader does not already know which addresses to follow.
Rather than starting with a wallet address, users can identify potentially interesting traders from performance data and then investigate their activity further.
Birdeye’s broader token analytics are another advantage. Wallet research rarely happens in isolation, and having token-level market information alongside wallet performance can make it easier to investigate what a wallet is trading.
Best for: Traders who want accessible wallet PnL, win-rate analysis and token-market data in one analytics environment.
4. Solscan — Best for verifying raw on-chain activity
Not every useful trading tool needs to tell traders what a transaction means.
Sometimes the most important function is simply showing what actually happened on-chain.
Solscan is a Solana block explorer that lets users inspect wallets, transactions, token holdings and other blockchain activity.
For a wallet, traders can examine information such as:
- SOL and token balances;
- transaction history;
- transfers;
- transaction timestamps;
- transaction signatures; and
- the accounts involved in individual transactions.
Token pages also provide information around holders, supply, transactions and token details.
This makes Solscan useful as a verification layer.
A Smart Money platform might alert a trader that an interesting wallet has moved into a token. Solscan can then be used to inspect the underlying address and transactions directly.
It does not attempt to replace higher-level wallet analytics. Its value is in giving traders access to the underlying blockchain record.
Best for: Traders who want to verify wallet activity and inspect transactions directly on-chain.
5. Jupiter — Best for moving from research to execution
Jupiter occupies a different position. It is primarily useful once research starts turning into execution.
Jupiter is a broad Solana trading platform covering swaps and other on-chain financial products. Its routing engine evaluates liquidity across Solana to find execution routes for token trades.
That makes it a natural final part of a multi-tool research workflow.
A trader might:
- identify interesting wallet activity;
- investigate the wallet’s historical performance;
- check the token and underlying transactions;
- assess liquidity and risk; and
- use Jupiter when deciding to execute.
Jupiter complements dedicated Smart Money platforms rather than replacing them in the same research stack.
It solves a different problem: turning a researched trading decision into an on-chain transaction.
Best for: Traders looking for established Solana trading and swap execution after completing their research.
How These Tools Fit Into a Solana Trading Stack
These platforms are useful for different parts of the research process rather than being direct substitutes for one another.
Guardis combines performance-based smart money signals with token-risk analysis. Nansen emphasizes labeled wallet intelligence and on-chain profiling, while Birdeye emphasizes accessible wallet-performance and token-market data.
Solscan serves a different role by providing the underlying blockchain record for traders who want to verify transactions directly. Jupiter is primarily an execution layer, making it more relevant once research has turned into a trading decision.
For many traders, the most practical setup will therefore involve more than one platform: one for identifying interesting wallet activity, another for deeper verification or market context, and an execution venue when the research is complete.
The Bottom Line
Smart money tracking is becoming more sophisticated than simply watching the richest Solana wallets.
Wallet size can tell traders where significant capital sits. Historical profitability, win rate and trading behavior can provide additional context around whether a particular wallet is actually worth following.
At the same time, wallet activity should never be considered in isolation.
Token risk, liquidity, ownership concentration and the underlying transactions still matter.
A practical Solana trading stack therefore may not rely on one tool for everything. Different platforms can answer different questions:
Who is trading?
How have they performed historically?
What risks exist in the token?
What actually happened on-chain?
And, finally, where should the trade be executed?
The better those questions are answered before a trade, the more useful smart money data becomes.