Smart Money analysis

Track and analyze wallets with our Smart Money Features.

Smart Money Discovery Hub -> https://blokiments.com/smartMoney

In crypto trading, "smart money" refers to experienced investors or institutions known for making profitable trades, getting into promising projects early, and whose moves often impact market trends.

Smart Money Features

Blokiments app provides a suite of tools that help you discover and analyze smart money wallets, while giving you a head start on identifying emerging tokens.

• 📊 Easily check the most traded tokens by smart money wallets

• 🐋 Latest whale trades

• ⚙️ Filter wallets using comprehensive trading statistics derived from aggregated swap data.

• 📛 Easily spot scam wallets by suspicious trading behavior

• 💰 Leverage our smart money filters alongside over 60 additional criteria to create powerful, advanced trading strategies.

• 🔔 Get real-time alerts for swaps, new deployed tokens, new pairs, liquidity events, and NFTs.

• 🧠 Check any wallet statistics, traded tokens, deployed tokens, and holdings in a user-friendly interface.

• 📤 Export wallet history data to CSV, JSON, or Excel with ease.

• ⛓️‍💥 Multichain support.

We don't just provide a static list of addresses—instead, our platform offers versatile filters and metrics so you can build your criteria and spot wallets that align with your view of smart money.

Explore these guides to unlock real alpha and stay ahead of other traders:

Find smart money walletsAnalyze wallets with easeTrack wallets in real-time

How do we calculate smart money wallets?

In some places in our app, we use smart money addresses that we calculate in real-time. These addresses are used for the smart money filters and the most traded tokens by the smart money dashboard. Let's learn how we calculate them.

We analyze blockchain data to determine which wallets belong to skilled traders who consistently make profitable trades. Our process involves aggregating decentralized exchange (DEX) swaps, applying filters, and tracking smart money in real time. Here’s an overview of how we do it:

1. Step 1: Aggregating Wallet Data:

   1. We collect all swap transactions on decentralized exchanges and compile real-time statistics per wallet. This dataset provides a historical view of trading activity, profits, and overall wallet behavior.

2. Step 2: Applying Smart Money Filters

   1. Not every active trader qualifies as smart money. We apply a rigorous filtering process based on criteria that help us distinguish skilled traders from casual participants. The main factors include:

      1. Profitability: Wallets must have achieved a minimum absolute and relative profit over a defined period.

      2. Trading Volume: Only wallets that have traded significantly over the past few months are considered.

      3. Number and Diversity of Trades: A smart money wallet must have completed a minimum number of trades across various tokens.

      4. Hold Time Analysis: Short-term speculative trades are excluded; we prioritize traders demonstrating strategic holding periods.

      5. Activity Threshold: Wallets must have been active for several days to ensure we track relevant traders.

      6. Token Health: A large portion of the tokens the wallet trades should remain healthy to filter out traders engaging in low-quality or scam tokens.

3. Step 3: Calculating Smart Money Statistics on New Tokens in Real-Time

   1. For each token in our database, we track how many smart money wallets interact with it and calculate key statistics, including:

      1. The number of smart money buyers and sellers

      2. Changes in trading volume by these wallets

   2. This enables users to apply smart money filters on the main dashboard, helping them quickly identify tokens gaining or losing traction among skilled traders.

To refine our model further, we actively filter out wallets that exhibit irregular DEX trading patterns. This includes:

• Removing Inactive or Manipulated Wallets: We identify and remove patterns suggesting wash trading, artificial volume inflation, or manipulation from our dataset.

• Filtering Out Airdrop Exploiters: Some wallets receive tokens for free and immediately sell them, which does not reflect genuine trading skill.

Most traded tokens by smart money dashboard

This dashboard highlights the most actively traded tokens by "smart money" wallets. It aggregates data across all supported networks, allowing users to see trends in token purchases and sales easily.

• Toggle between Most Bought and Most Sold tokens to see where smart money accumulates or exits positions.

• Filter activity by time intervals: 1h, 4h, 12h, 1d, 7d, 30d.

• View buyer/seller counts and buy/sell volumes for each token.

A screenshot of the dashboard.

For some lower time intervals, it is sometimes possible that there is no data, as no new smart money trades are executed.

Tips for using the dashboard:

• A surge in "Most Bought" tokens over lower intervals may signal short-term opportunities, especially when the buy volume is high compared to sell volume. The green bar should be as big as possible and the buy volume high (over 20k in 12 hours).

• Tokens appearing in "Most Sold" over 30d could indicate profit-taking or bearish sentiment.

Latest whale trades dashboard

This dashboard tracks high-value token accumulations (over 25,000$ ) to help users identify market-moving trends. Users can filter trades to focus on buying or selling activity, revealing whether whales are accumulating or exiting positions.

Buy example

For example, in the image above, we can see that the address 0x4b1b...384d made the most recent buy swap 17 minutes ago. Over the past 76 hours, this wallet has accumulated $149.5k worth of Broccoli tokens without selling any. (Note: selling could still occur if the wallet transferred tokens to another wallet— at the moment, we don't track all wallet-to-wallet transfers.)

Trades are sortable by timestamp to prioritize recent activity or by volume to spotlight the largest transactions.

The "buying" list only includes wallets that have never sold the token—addresses that sell are automatically excluded, ensuring the data reflects pure accumulation. This helps users spot tokens with strong, sustained whale interest.

A screenshot of the dashboard.

By clicking on the wallet or token, you can continue the analysis.

Frequently Asked Questions

Is there a way to have an alert system that notifies when multiple smart money wallets buy into a newly created coin?

Sure! You can use our filtering system with real-time alerts. More coming soon.

What are the challenges in identifying smart money?

People who are smart with money can easily stay hidden and undetected if they want to. They can change wallets after each trade or after a few trades. They can also buy a token with one wallet, transfer it to another, and then sell it for profit using that new wallet.

So, if your algorithm only tracks smart money by swaps, you could potentially miss out on a group of wallets owned by one entity that together make smart money.

A significant challenge in identifying genuine "smart money" wallets is filtering out those exhibiting impressive profit statistics but primarily trading scam tokens or tokens they've deployed themselves. Scammers often create fraudulent tokens to manipulate value, misleading investors and inflating their profit metrics.