What are the methods to find KOL wallet addresses? Attached is a file with the addresses of a hundred KOLs

Author: Zibu
KOLs have influence, and some of their actions can impact projects. Typically, a KOL will buy in first, then share in the community, and finally share on public channels like Twitter. If we have the KOL's address, we can know what they bought, when they increased their holdings, and when they took profits or cut losses.
This article shares some methods for finding KOL addresses and how to use these addresses.

1. Using gmgn

gmgn is a comprehensive platform with trading, data analysis, monitoring, and other functions, run by Chicken Brother @haze0x. Website: https://gmgn.ai/?ref=sxsy7oyJ
On gmgn, users can bind their Twitter accounts and addresses, and we can use this feature to find KOL addresses.
For example, if we want to know what 0xsun's address is, we can enter "0xsun" in the search box, and at the bottom of the search results, 0xsun's address will appear, as shown in the image.

By clicking on the address in the search results, we can see detailed information about 0xsun's address, as shown in the image. We can see his Twitter follower count, which links to Twitter; his win rate; and his profit and loss over the past 7 days, with a profit of 2.3 million USD.

Thus, when we want to know a specific KOL's address, we can search on gmgn to see if they have bound an address, and if so, we can find it.

2. Using chain.fm

chain.fm is an on-chain monitoring platform where users have uploaded many smart money addresses, including many KOL addresses, run by @zen913.
Before the New Year, chain.fm launched a search function that supports keyword searches, allowing us to use this feature to find KOL addresses.
I mentioned this method in my tweet https://x.com/0x_zibu/status/1882345639218118884
There are two ways to find KOL addresses using chain.fm:

1. Directly search for the specific KOL's name

Continuing with the example of 0xsun, if we enter "0xsun" in the input box, we can see several addresses appear, as shown in the image.

The first address in the search results is included in 426 channels, which is likely 0xsun's address. We can also verify on gmgn to see if 0xsun has verified this address.

2. Search using the keyword "KOL"

We can also enter the keyword "KOL" to find all related information on chain.fm, as shown in the image.

When we enter "KOL," it will find all related channels, which contain KOL addresses organized by the channel owner; we just need to verify their authenticity.
In the wallet options, using the keyword "KOL" will also find addresses with this information, as shown in the image.

The addresses found through chain.fm are based on what the channel owners uploaded, so we cannot guarantee 100% authenticity; we need to cross-verify with gmgn, Twitter, or other channels.

3. Analyzing clues based on Twitter

The above two methods are relatively simple; as long as you are willing to spend time organizing, you can find them. However, some KOLs do not actively disclose their addresses, and in such cases, we need to find them through other means.

1. Explicit sharing of trades

Some KOLs will share their trades in tweets, with images containing specific transaction information, such as transaction time, whether it was a buy or sell, transaction amount, and the number of coins. This makes it particularly easy to find, as we have specific transaction information to filter through.
For filtering shared trades, I recommend using Eagle (https://dexscreener.com/), where we can filter based on transaction time, transaction type (buy or sell), transaction amount, and the number of coins, as shown in the image.

Eagle has the most comprehensive manual filtering features among the tools I have used; unlike other tools where filtering features are merely decorative, probably even the PM doesn't use them.
However, the downside of Eagle is that it cannot find trades on exchanges like OKX that use aggregated routing; for that, we can only check on OKX's website (https://www.okx.com/zh-hans/web3).

2. Vague information

Sometimes KOLs may not directly share their trades on Twitter but might mention buying a coin at a certain market cap. In such cases, the information is limited, and we can only filter out a rough range based on a single tweet; we may need to combine multiple tweets to pinpoint a specific address.
For example, the cycle hand cow shared the address situation of Burder yesterday, as shown in the image. How should we find this address?

First, let's collect all valid information:
(1) The tweet time is 2.5 9:53
(2) According to the tweet, Burder first bought $Ncat and $Noland, and then bought $Calicoin
(3) The image in the tweet provides rich information, as shown in the image. We can know:
a. The holding quantity of $Calicoin is 4M
b. The holding quantity of $Noland is 37.6M
c. The holding quantity of $Ncat is 30M, but it only accounts for 57% of the holdings
d. At the time of the screenshot, their holding duration was only 2 minutes

(4) The opening time of $Calicoin is 2.5 8:23
From the above information, we can deduce that Burder's trading time was between 8:23 and 9:53, and considering the holding duration of 2 minutes, the latest trading time could be 9:51. Since Burder started late in the tweet, the earliest trading time would be some time after the opening, but we don't have detailed information on how long that is, so we can only start filtering from 8:23.
With the above information, we can do the following:
a. Write a script to fetch trading data
Extract all buy transactions for the three coins between 8:23 and 9:53, and see which address bought all three coins in this interval, matching the order and quantity with the information collected above.
b. Query using Dune (https://dune.com/)
Compared to writing a script to fetch trading data, Dune has ready-made data; we can use AI to help write Dune's query statements, filter out addresses, and then manually verify them.

4. Analyzing trading style and win rate indicators

After finding the KOL's address, we need to analyze it in detail. We should look at their trading style: do they prefer to play the inner market or the outer market, do they like to chase highs or ambush, how do they take profits and cut losses, what is their win rate, and what is their overall profit and loss situation?
Currently, good platforms for analyzing addresses include gmgn and debot.

1. gmgn

gmgn (https://gmgn.ai/?ref=sxsy7oyJ) has rich data analysis features with various indicators.
For example, for 0xsun's address, we can see his profit and loss, win rate, and total profit and loss over 1 day, 7 days, and 30 days. In the recent profit and loss section, we can see the trading coins over the past 30 days, and we can sort based on various indicators; clicking on a specific coin will also show detailed trading records, as shown in the image.

2. debot

debot (https://debot.ai?inviteCode=175623) offers similar functionality to gmgn, with some differences in algorithms and data presentation. The data for 0xsun's address is shown in the image, which can be compared with gmgn.

As for which is better between gmgn and debot, my suggestion is to use both together for mutual reference to prevent data loss or errors from a single tool affecting the analysis.

5. Monitoring

After identifying KOL addresses and conducting data analysis, we need to label and categorize each address, then use tools to monitor these addresses. This way, when they make transactions, we can know immediately, ahead of the community and Twitter.
For monitoring, I highly recommend debot (https://debot.ai?inviteCode=175623), which is currently the most feature-rich and granular monitoring product I have used. Their AI signals are also strong, and transactions are very smooth.
debot offers two types of wallet monitoring: wallet behavior monitoring and wallet group behavior monitoring, as shown in the image.

1. Wallet behavior monitoring

This monitoring is a standard feature across all tools; however, other tools push all addresses to a single TG group, while debot allows addresses to be grouped and then pushed to different TG groups based on the grouping situation, as shown in the image.

This way, we can establish different TG groups for pushing based on labeling, such as inner market players, outer market phase two players, key focus addresses, etc. A good tool is one that can categorize monitoring information. Previously, when I used abot for monitoring, I had to label addresses first, and then after the TG group received monitoring messages, I would do secondary development to redistribute based on labeling. Now, with debot, there is no need for secondary development.

2. Wallet group behavior monitoring

If we are monitoring many addresses, there is an unavoidable issue: too many push messages. When there are too many messages, the human brain cannot process them, leading to apathy, which defeats the purpose of monitoring. For this issue, my previous strategy was to do secondary development on the pushed messages, setting a threshold where if a certain number of different addresses reached a specific count within a certain time frame, then a push would occur. For example, if 5 different addresses bought within 30 minutes, then push. I used this strategy for about a year, and it worked very well, reducing many messages while not missing out on popular coins.
debot implements my above strategy perfectly and does it more finely, with more detailed indicator granularity, as shown in the image. We can monitor based on buys and sells, set monitoring time frames, transaction amounts, notification frequencies, and market cap sizes. This can fully meet various monitoring needs, and I highly recommend this feature.

6. File of KOL addresses

Based on the above methods, I have compiled a list of nearly a hundred KOL addresses, as shown in the image.

You can analyze and label each address using the analysis methods from section four, identifying addresses that suit your habits for monitoring.
The file is uploaded to my Telegram channel and can be downloaded here: https://t.me/zibutalk/79
Please retain the source when sharing this file!

7. Conclusion

The above text introduced methods for finding KOL addresses and explained how to analyze and monitor these addresses. For KOL addresses not included in the file, you can use the methods above to search. Additionally, the addresses disclosed by KOLs are just one of the addresses they use; everyone has multiple addresses, and you can find their associated addresses based on the addresses above. The more addresses you collect, the richer your address database will be.
Each KOL has a different style; some KOLs may also cut losses when following trades, so you should not blindly trust KOL addresses but choose those that suit you.
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