Python scripts to monitor high-value transactions for BTC, USDT (TRC20) and ETH across major crypto exchanges
You can check how it works here: https://t.me/transferRadar or here: https://discord.gg/mZFsY4VDbA
To install it you can create conda environment first, like this:
conda create --name transferradar -c conda-forge python=3.11
Then activate it using command
conda activate transferradar && alias -s py=python && clear
Then you have to install requests and pytelegrambotapi using commands:
pip install requests
pip install pyTelegramBotApi
Create wallet files:
btc_wallets_data.json
eth_wallets_data.json
trc20_wallets_data.json
in this JSON format:
[
{
"wallet": "WALLET_ADDRESS",
"title": "Exchange Name/Wallet Label"
}
]
And then you can run scripts this way:
btc_check.py
eth_check.py
trc20_check.py
Of course you also need Telegram bot API key and also you have to set your telegram bot as admin of your tg channel.
MIT License - Feel free to modify and distribute.
Contributions, issues, and feature requests are welcome! Feel free to check issues page.
This project is for informational and educational purposes only. You should not use this information or any other material as legal, tax, investment, financial, or other advice. Nothing contained here is a recommendation, endorsement, or offer by me to buy or sell any securities or other financial instruments.
If you intend to use real money, use it at your own risk.
Under no circumstances will I be responsible or liable for any claims, damages, losses, expenses, costs, or liabilities of any kind, including but not limited to direct or indirect damages for loss of profits.
Quantitative researcher and trading systems engineer with end-to-end ownership of systematic strategies — from research and statistical validation to low-latency execution and production deployment.
Core focus areas:
- Systematic strategy design and validation
- Market microstructure analysis (order book dynamics, liquidations, volume, delta, liquidity, spread behavior, funding)
- Backtesting framework development (tick-level and historical data)
- Execution engine architecture and order lifecycle management
- Real-time market data processing
- Risk-aware system design
- Production-grade trading infrastructure (24/7 environments)
Experience across crypto (CEX, DEX), FX, and exchange-traded markets.
- Languages: Python, C++, MQL5
- Execution & Connectivity: REST, WebSocket, FIX
- Infrastructure: Linux, Docker, Redis, PostgreSQL, ClickHouse
- Analytics: NumPy, Pandas, custom backtesting frameworks
Email: ryu8777@gmail.com