Print Page - Telegram bot ( python ) for monitoring and analyzing Ethereum

For Sale: This is a fully autonomous Python-based system designed for monitoring the activity of large players (whales) on Ethereum, analyzing market data, forecasting ETH prices, and sending notifications via Telegram. The system operates in the background on a VPS, utilizing free-tier APIs (Etherscan, Alchemy, Kraken, Infura, Reddit) and is optimized for scalability: a single instance on a low-cost VPS ( 1 CPU/1GB RAM ) can support up to 1000 users through a Telegram bot with individual settings for each user.

The project is built on an asynchronous architecture with a modular structure for easy customization. All processes are automated: data collection, analysis, model training, and reporting occur without manual intervention. The system includes API limit management, data caching, and address validation to ensure stability and low resource usage.

#### Key Features
The system covers the full cycle of Ethereum market analysis, from collecting raw data to generating actionable insights. Below is a detailed overview of what the script does:

1. **Transaction Monitoring (Whales and Exchanges)**:
   - Automatic polling of whale and exchange addresses, with fallback switching when API limits are reached.
   - Collection of transactions from the last 24–48 hours, accounting for Ethereum block times (average 12 seconds).
   - Activity analysis: Calculation of buy/sell volumes, net flows, RSI indicators, and anomalies (e.g., hourly volume exceeding the average by 5x, customizable via the Telegram bot interface).
   - Data caching in JSON/CSV for fast access and reduced API load (files: transactions_cache.json, activity_history.json).
   - Address validation: Periodic activity checks (every 14 days) and removal of inactive addresses (address_validator.py).

2. **Discovery of New Whales and DEX Hubs**:
   - Automated "whale hunting": Scraping top addresses from Etherscan, profiling based on criteria (minimum 10 transactions, average volume >50 ETH, maximum 1000 transactions).
   - DEX factory scanning (Uniswap V2/V3, SushiSwap, Curve, etc.): Analysis of event logs to identify new routers and hubs (dex_factory_scanner.py, runs every 12 hours).
   - Whale influence analysis: Correlation of transactions with price changes, assignment of influence scores, and identification of "alpha whales" with direct market impact (influence_analyzer.py).

3. **Price and Market Data Analysis**:
   - Collection of OHLC data (open, high, low, close, volume) from Kraken API (1-minute/60-minute intervals, up to 720 periods).
   - Price dynamics calculation: Changes over short (minutes) and long (hours) periods, customizable via the Telegram bot interface.
   - Sentiment analysis: Collection of posts from Reddit (subreddits: cryptocurrency, ethereum), analysis via VADER (NLTK), and caching (reddit_posts.csv, updated every 10 minutes if needed).

4. **Price Forecasting with Machine Learning**:
   - LSTM model (TensorFlow/Keras) for predicting ETH prices 30 minutes ahead, incorporating prices, whale transactions, sentiment, and influence scores.
   - Automated training pipeline:
   - Initial training on 1 year of historical data (prices, transactions, sentiment).
   - Retraining every 6 hours on fresh data (online retraining).
   - Daily retraining (every 24 hours) to adjust for daily trends.
   - Deep training every 30 days on "snapshots" of data (saved historical transactions and prices for the month).
   - All stages are fully autonomous, requiring no system restarts. Metrics (MAE, RMSE) are logged for accuracy evaluation.
   - Forecasts are integrated into alerts (e.g., notifications for price changes >2.5%, customizable via the Telegram bot interface).

5. **Telegram Bot for Notifications and Interaction**:
   - Multi-user bot (Telegram Bot API) with individual settings for each user (alert thresholds, intervals, activity multipliers).
   - Bot features:
   - Main menu: Whale activity + sentiment summary, price dynamics, forecasts, Reddit posts, settings.
   - Alerts: Price changes (>3%), activity anomalies (>5x average), forecasts (>2.5% change), all customizable.
   - Reports: Access to daily PDF reports (price and whale flow charts).
   - Scalability: Supports thousands of users on a single VPS due to asynchronous processing and batch requests (BATCH_SIZE=50).

6. **Report Generation and Visualization**:
   - Daily PDF reports (report_generator.py): Price charts (Matplotlib), whale flows (buy/sell hourly), integrated with 24-hour data.
   - History storage: Daily transaction snapshots, activity archiving, and error logs (app.log, transactions.log).

7. **Automation and Optimization**:
   - Job queue (telegram.ext): Data cycles (every 15 minutes), alerts (every 5 minutes), retraining, DEX scanning (every 12 hours), whale hunting (weekly), address validation (every 14 days).
   - API limit management: Request counters, automatic resets, retries with backoff, and fallback to alternative APIs (limit_manager.py).
   - Security and stability: Logging, error handling, seamless API switching (Etherscan → Alchemy).
   - Requirements: Python 3.12+, free API keys (Etherscan, Alchemy, Kraken, Infura, Reddit, Telegram). Runs on minimal VPS (1 CPU/1GB RAM for basic use).

#### Benefits for Buyers
- For Traders: Real-time whale alerts, price forecasts, and sentiment analysis help capture market movements (e.g., volume anomalies or Reddit sentiment shifts).
- Cost-Effective: Runs on free-tier APIs, no subscriptions required. Scalable for groups (hundreds to thousands of users on one VPS).
- Autonomous: Fully automated, from model training to reporting. No restarts or monitoring needed.
- Support: 3 months of assistance (VPS setup, API configuration, customization). Russian-language interface available.
- Accuracy: LSTM with multi-level training delivers stable forecasts (e.g., ~$4300–$4370 for ETH on August 30, 2025, per logs).

#### Requirements and Setup
- **System**: VPS with Ubuntu/Linux, Python 3.12, Git. Minimum: 1 CPU/1GB RAM (up to 1000 users).
- **API Keys**: Free accounts for Etherscan, Alchemy, Kraken, Infura, Reddit, Telegram BotFather.
- **Setup**: Clone repository, install dependencies (via requirements.txt), configure .env. Full setup assistance included.
Price: $290
This product is a ready-to-use tool for crypto analytics, giving you an edge in the ETH market. For a demo or questions, contact me!
Photos:
https://ibb.co/C53hZsGB
https://ibb.co/gb9M98dK
https://ibb.co/JFgg25Yc
https://ibb.co/FkwJcjvr
https://ibb.co/Swhn7BM0
https://ibb.co/B5t4YB9X
https://ibb.co/35DxQmyH

video: https://youtu.be/cxSK_4i6h7U

Bitcoin Forum

Economy => Digital goods => Topic started by: Umibe_no_kafukA on August 30, 2025, 09:11:54 PM