If you spend any time on Solana, you know how fast trends move. By the time a token hits your Twitter timeline, "smart money" and whales entered positions hours ago. Tracking profitable wallets manually is nearly impossible given Solana's high throughput and block speed.
In this guide, we will break down how to build a lightweight, real-time Solana wallet monitoring and copy-trading helper tool using Python. This system listens directly to the network, tracks large-scale transactions, filters out noise, and pushes instant alerts straight to your Telegram.
Architecture Overview
To build an efficient monitoring helper, our script needs to handle three core components:
Network Stream Connection: Interfacing with Solana RPC endpoints to capture transactions in real time.
Filtering Engine: Ignoring low-value transactions ("dust") and focusing strictly on whale movements or target wallets based on configurable SOL thresholds.
Notification Dispatcher: Instantly formatting transaction data and forwarding alerts to a Telegram chat interface.
Step-by-Step Implementation
- Project Setup Clone the repository structure and set up your isolated Python environment:
Bash
git clone https://github.com/rdin777/solana-copy-trade-bot-public.git
cd solana-copy-trade-bot-public
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
- Configuration Management Create your configuration file from the template provided in the repository to securely store your Telegram Bot API tokens and chat IDs:
Bash
cp config.py.example config.py
Inside config.py, specify your parameters:
Telegram Bot Token: Generated via BotFather.
Chat ID: Where the monitoring alerts will be delivered.
Threshold Limits: Minimum SOL amount to trigger an alert.
- Core Monitoring Logic (src/scanner.py) The heart of the project is the scanner script, which continuously listens to target wallet activities. Below is a conceptual look at how the event loop monitors state changes and processes transaction payloads:
Python
import time
import requests
from config import TELEGRAM_TOKEN, CHAT_ID, TARGET_WALLETS, MIN_SOL_THRESHOLD
def send_telegram_alert(message):
url = f"https://api.telegram.org/bot{TELEGRAM_TOKEN}/sendMessage"
payload = {"chat_id": CHAT_ID, "text": message, "parse_mode": "Markdown"}
try:
requests.post(url, json=payload)
except Exception as e:
print(f"Failed to send Telegram alert: {e}")
def monitor_wallets():
print("Initializing Solana whale tracking stream...")
while True:
# Core polling / WebSocket monitoring loop logic
# Evaluates transaction volumes against MIN_SOL_THRESHOLD
time.sleep(2)
if name == "main":
monitor_wallets()
Running the Tool
Once your target addresses are added to src/scanner.py and your configuration variables are filled, launch the monitoring script:
Bash
python3 src/scanner.py
You will immediately begin receiving structured, real-time notifications whenever tracked wallets execute major swaps or transactions on-chain.
Conclusion
Building your own tracking tools gives you an edge by cutting through social media noise and looking directly at raw blockchain data. Whether you want to analyze market trends, study whale accumulation patterns, or build out automated copy-trading logic, this lightweight foundation provides a solid starting point.
Check out the full open-source repository, leave a star if it helps your research, and customize it to fit your strategy: 👉 GitHub: https://github.com/rdin777/solana-copy-trade-bot-public
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