TRON USDT Whale Sonar

TRON USDT Whale Sonar is a real-time monitoring tool that tracks and analyzes large-scale USDT (TRC-20) transactions on the TRON blockchain. It automatically identifies institutional entities (exchanges, whales), classifies transaction intent, and provides actionable intelligence for traders, risk managers, and researchers.

Why use TRON USDT Whale Sonar?

For crypto traders and analysts:

• Get early signals of institutional money movements before they impact the market
• Track whale accumulation and distribution patterns in real-time
• Identify potential sell pressure when large amounts flow into exchanges

For risk and compliance teams:

• Monitor illicit fund movements and suspicious wallet activity
• Track transactions involving known scam or hack addresses
• Build AML intelligence and compliance reports

For researchers and data scientists:

• Analyze historical USDT flow patterns and exchange reserves
• Build market sentiment indicators based on institutional behavior
• Access clean, labeled blockchain data ready for analysis

What data can TRON USDT Whale Sonar extract?

Field	Description
Transaction Hash	Unique identifier for each transaction
Amount (USDT)	Transaction value in USDT
From/To Addresses	Sender and receiver wallet addresses
Entity Labels	Identified exchange or whale names (e.g., "Binance-Hot-1", "Justin Sun")
Event Type	Classification: SELL_PRESSURE, BUY_ACCUMULATION, TREASURY_MINT, etc.
Transaction Time	UTC timestamp of the on-chain transaction
Analysis Note	Human-readable explanation with context
TronScan Link	Direct link to view transaction details

The Actor identifies 95%+ of major exchange wallets including Binance, OKX, HTX, Kraken, Bitfinex, and known whale entities.

How to scrape TRON USDT whale movements

1. Set your threshold - Configure the minimum USDT amount (default: 500,000 USDT for whale activity)
2. Choose time range (optional) - Specify how many hours back to search (up to 168 hours)
3. Run the Actor - Results are saved to the dataset automatically
4. Download or integrate - Export as JSON, CSV, Excel, or use the Apify API

Step-by-step tutorial

To track the largest USDT movements:

1. Go to the TRON USDT Whale Sonar input tab
2. Set amount to 1000000 (1 million USDT minimum)
3. Keep sort_by as "amount" to see largest transactions first
4. Click Start and wait for the run to complete
5. Download results from the Dataset tab

To monitor a specific wallet:

1. Enter the TRON address in the address field (e.g., TR7NHqjeKQxGTCi8q8ZY4pL8otSzgjLj6t)
2. Optionally set hours: 24 to see the last 24 hours of activity
3. Run the Actor and review wallet activity

Input

TRON USDT Whale Sonar has the following input options. Click on the input tab for detailed information about each field.

Key parameters:

• amount - Minimum transaction threshold (default: 500,000 USDT)
• address - (Optional) Filter by specific wallet address
• hours - (Optional) Time window for historical search
• sort_by - Sort by "time" (newest) or "amount" (largest)
• limit - Maximum results per request (up to 1,000)

Output

You can download the dataset extracted by TRON USDT Whale Sonar in various formats such as JSON, HTML, CSV, or Excel.

Output example

{
  "tx_id": "e8f4a3b2c1d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1",
  "log_index": 0,
  "amount": 5000000,
  "symbol": "USDT",
  "from_address": "TAbc123XYZ456...",
  "to_address": "TBinanceHot1...",
  "from_label": "Unknown Whale",
  "to_label": "Binance-Hot-1",
  "event_type": "SELL_PRESSURE",
  "is_exchange": true,
  "transaction_time": "2026-02-03T01:00:00Z",
  "block_number": 12345678,
  "url": "https://tronscan.org/#/transaction/e8f4a3b2...",
  "note": "🚨 Sell Pressure: Unknown Whale transferred 5,000,000 USDT → Binance-Hot-1"
}

Event type classifications:

The Actor categorizes each transaction into one of 12 event types:

• SELL_PRESSURE - Large inflow to exchanges (bearish signal)
• BUY_ACCUMULATION - Large outflow from exchanges (bullish signal)
• TREASURY_MINT - New USDT created by Tether
• TREASURY_BURN - USDT redeemed and destroyed
• CEX_INTERNAL - Internal exchange wallet transfers
• CEX_TO_CEX - Inter-exchange transfers (arbitrage)
• BRIDGE_TRANSFER - Cross-chain bridge activity
• DEX_INTERACTION - DEX or liquidity pool activity
• LENDING_ACTIVITY - DeFi lending platform activity
• ILLICIT_MOVE - High-risk: involves known scam/hack addresses
• OTC_TRANSFER - Direct wallet-to-wallet transfers
• INTERNAL_TRANSFER - Same-entity wallet transfers

How much will it cost to scrape TRON USDT data?

TRON USDT Whale Sonar uses a consumption-based pricing model - you only pay for the Compute Units (CUs) used during the Actor run.

Pricing estimates:

• Free tier: Get approximately 100-200 whale transactions on Apify's free plan
• Light usage (~1,000 transactions/month): $2-5 in compute units
• Heavy usage (~10,000 transactions/month): $15-30 in compute units

The actual cost depends on:

• How many transactions match your criteria
• The time range you're searching
• How frequently you run the Actor

💡 Tip: Use the Standby mode (24/7 availability) for instant results without cold start delays. This is ideal for real-time monitoring dashboards.

Integrate TRON USDT Whale Sonar with your workflow

Using the Apify API

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_APIFY_TOKEN" });

const run = await client.actor("YOUR_ACTOR_ID").call({
  amount: 1000000,
  sort_by: "amount",
  limit: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Using webhooks

Set up webhooks to get notified instantly when whale movements are detected. See Apify webhooks documentation.

Scheduling runs

Schedule the Actor to run automatically every hour, day, or week. This is perfect for building alerts or daily reports. See Apify scheduling guide.

Tips for getting better results

To reduce compute usage:

• Set a higher amount threshold to filter out smaller transactions
• Use specific hours parameter instead of searching all historical data
• Limit results with the limit parameter

To get more accurate data:

• Use sort_by: "time" for chronological analysis
• Filter by specific address when tracking known entities
• Combine with other Apify Actors for enriched data

To improve speed:

• Use Standby mode for instant response (no cold start)
• Run in parallel for different time ranges if analyzing historical data
• Schedule runs during off-peak hours for large datasets

Is it legal to scrape TRON blockchain data?

TRON is a public blockchain, and all transactions are publicly accessible by design. This Actor does not extract any private data - it only reads what is already publicly available on the blockchain.

Our scraper is ethical and does not access:

• Private wallet information
• Personal user data (emails, names, locations)
• Any data requiring authentication

However, you should be aware that transaction data could indirectly contain information that helps identify individuals. If you're using this data for business purposes, consult your legal team about applicable regulations such as GDPR (EU) or CCPA (California).

For more information, read Apify's blog post on the legality of web scraping.

Support

Need help or have questions?

• 📧 Email: jweboy0630@gmail.com
• 💬 Apify Discord community
• 📚 Apify documentation

Enterprise solutions:

• Custom wallet labeling services for institutional clients
• Dedicated infrastructure and SLA guarantees
• Custom data feeds and integrations

Technical specifications

• Blockchain: TRON Mainnet
• Smart Contract: TR7NHqjeKQxGTCi8q8ZY4pL8otSzgjLj6t (USDT TRC-20)
• Scan Frequency: Every 3 seconds
• Detection Latency: < 5 seconds from on-chain confirmation
• Label Coverage: 95%+ of major exchanges and entities
• Storage: PostgreSQL with real-time indexing
• API: 24/7 Standby mode available

Disclaimer

This tool is for informational purposes only and does not constitute financial, investment, or legal advice. Always do your own research (DYOR) before making any investment decisions.

Whale movement data can provide insights into market dynamics, but should not be the sole basis for trading decisions.

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