How to find users with frequent transactions through Binance real-time filtering?

In today's crypto assets field, identifyUsers who "frequent trading" are no longer exclusive capabilities of the exchange. Many teams doing currency circle operation, community management, OTC matchmaking or Web3 project cold launch will ask a question:How do I know which Binance accounts have frequent trading behaviors? Is there a way to sift out in real time?Our digital planet is developing and continuously optimizing around this needBinance Real-time Filtering System, help users quickly identify those that are truly available in massive addresses or user accountsPeople with "trading activity" save time, improve hit rate, and reduce screening cost.

 

Why look for itUsers with "frequent transactions"?

Frequent transactions do not mean high net worth users, but they often mean the following points:

lThere is a real need for asset management

lHave a certain market sensitivity

lHigh willingness to participate in community interaction, motivation, airdrop and other activities

lrightWeb3 products have usage habits

If you just want to find"Open Binance" account, a large number of "empty shell accounts" and "dead accounts" will waste your resources. But if you can lock in users with frequent transactions, your marketing, group pulling, whitelist settings, product testing and even OTC matching will be much more accurate.

 

How to build the filtering logic of users with frequent Binance trading?

On the Digital Planet, we use the following dimensions to determine the Binance account"Trading Activity":

1. Indirect behavior recognition

Through third-party interaction records, authorization paths and access behavior, determine whether the account is frequently logged in, frequently accessing asset pages, etc.

2. Cross-verification of transaction address behavior

We track the active frequency of the bound address on the chain, combined withToken transfer, Swap frequency, order-holding behavior, etc.

3. Traces of asset fluctuations

Some addresses maintain the rhythm of capital inflows and outflows for a long time, which is shown as high-frequency trading behavior.

4. IP behavior model

By checking whether some accounts are logged in across devices during multiple time periods, we can determine whether they are active users in real operations.

5. Model layered scoring

The system automatically scores each account according to the rules and filters out high-trade active users.

 

Which scenarios are particularly suitable for using this function?

lOTC matchmaking transaction handover: To determine whether a potential buyer is real"Can trade", this screening function can greatly reduce the number of mine-steps;

lThe project party does the first round of seed user import: If you don’t want to waste resources on dead accounts, you can directly obtain the active account set;

lCommunity operation to communicate with private messages: Filter out non-transaction users and robot accounts in advance;

lCross-border traffic diversion to establish a community: No longer joining all users, but focusing on the transaction popularity.

 

Simple usage process, efficient filtering

The Binance real-time filtering system of Digital Planet has been automated and can be operated in just a few steps:

1.Upload email,UID or address list;

2.Set filter conditions, for example:There are transactions in 7 days, asset transfers within 30 days, and the number of active events in the past 90 days is ≥3 times;

3.Click to run the filter task;

4.Download the filter results, including fields such as active scoring, active tags, last transaction time, etc.

The entire process does not require technical knowledge, no code or plug-ins, and is completed in one-stop.

 

registerVIP, immediately filter high-frequency trading accounts

Binance Real-time Filter Service is now available for Digital PlanetVIP users are open. After registering, you can unlock:

lFrequent transactions and one-click filtering of accounts

lMultidimensional behavior label output

lExport visual table data

lSupports ultra-large-scale batch testing

lExclusive customer service technical support

Digital planet uses the most detailed data capabilities to make the screening system that understands the most users. If you have a headache, you can't find itIf you have "transaction behavior", you might as well try our Binance real-time screening service. Register a VIP now and get a valid account quickly.


Digital Planet It is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions . It supports global customers Bulk numbers from 236 countries Filtering and testing services , currently supported More than 40 social and apps, such as:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, Binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Byb wait.

The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filtering wait.

Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode , to meet the needs of different users.

Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

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