Telegram Bot for Ethereum Monitoring
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Uploaded: 01.09.2025
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$222.98
For Sale: Telegram Bot for Ethereum Monitoring: Your Autopilot for Crypto Analytics!
Dive into the world of data with a cutting-edge Telegram bot tailored for ETH traders and analysts! Built on Python, this autonomous tool combines real-time monitoring, price forecasting, and deep analytics, running seamlessly on budget VPS servers. Scalable to support hundreds to hundreds of thousands of users with personalized settings and alerts, it’s fully automated, self-improving, and requires no restarts!
* Smart Whale Analytics: Tracks large transactions via free APIs with easy registration. Optimized resource allocation ensures efficient use of three free-tier services, automatically identifying key addresses and their market impact through correlation analysis.
* Self-Learning LSTM Model: Predicts ETH prices by analyzing fast metrics (prices, volumes, RSI, SMA) and deep data (Reddit sentiment, whale influence). The model continuously improves, retraining every 6 hours, daily, and monthly, leveraging both rapid and in-depth analytics in a fully autonomous mode.
* Full Automation: From scanning DEX factories to discovering new whales via Etherscan, the logic for address and transaction detection is meticulously crafted.
* 24/7 Autonomy: Operates without restarts thanks to asynchronous architecture (asyncio) and caching. Generates daily PDF reports (prices, whale flows) and personalized alerts.
* Resource Efficiency: Optimized for minimal costs—uses free APIs, minimizes requests, and runs on budget VPS (1 CPU, 1 GB RAM).
* Scalability & Personalization: Supports thousands of users with individual alert settings (price thresholds, whale activity) through an intuitive Telegram interface.
* Test Before You Buy: Try a fully launched and activated Telegram bot before purchasing to experience its capabilities firsthand.
Crafted for professionals who value automation and precise data, this bot is built with deep expertise in programming, trader needs, and the crypto market, emphasizing an intuitive and user-friendly design. The price includes setup assistance, detailed usage instructions, 3 months of support and consultation, and the option for minor customizations to meet your needs.
Perfect for: Traders, crypto funds, developers, investors, Telegram channel creators, and other crypto-related projects.
Dive into the world of data with a cutting-edge Telegram bot tailored for ETH traders and analysts! Built on Python, this autonomous tool combines real-time monitoring, price forecasting, and deep analytics, running seamlessly on budget VPS servers. Scalable to support hundreds to hundreds of thousands of users with personalized settings and alerts, it’s fully automated, self-improving, and requires no restarts!
* Smart Whale Analytics: Tracks large transactions via free APIs with easy registration. Optimized resource allocation ensures efficient use of three free-tier services, automatically identifying key addresses and their market impact through correlation analysis.
* Self-Learning LSTM Model: Predicts ETH prices by analyzing fast metrics (prices, volumes, RSI, SMA) and deep data (Reddit sentiment, whale influence). The model continuously improves, retraining every 6 hours, daily, and monthly, leveraging both rapid and in-depth analytics in a fully autonomous mode.
* Full Automation: From scanning DEX factories to discovering new whales via Etherscan, the logic for address and transaction detection is meticulously crafted.
* 24/7 Autonomy: Operates without restarts thanks to asynchronous architecture (asyncio) and caching. Generates daily PDF reports (prices, whale flows) and personalized alerts.
* Resource Efficiency: Optimized for minimal costs—uses free APIs, minimizes requests, and runs on budget VPS (1 CPU, 1 GB RAM).
* Scalability & Personalization: Supports thousands of users with individual alert settings (price thresholds, whale activity) through an intuitive Telegram interface.
* Test Before You Buy: Try a fully launched and activated Telegram bot before purchasing to experience its capabilities firsthand.
Crafted for professionals who value automation and precise data, this bot is built with deep expertise in programming, trader needs, and the crypto market, emphasizing an intuitive and user-friendly design. The price includes setup assistance, detailed usage instructions, 3 months of support and consultation, and the option for minor customizations to meet your needs.
Perfect for: Traders, crypto funds, developers, investors, Telegram channel creators, and other crypto-related projects.
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.
- Address validation: Periodic activity checks (every 14 days) and removal of inactive addresses.
2. **Discovery of New Whales and DEX Hubs**:
- Automated "whale hunting".
- DEX factory scanning (Uniswap V2/V3, SushiSwap, Curve, etc.): Analysis of event logs to identify new routers and hubs, 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.
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 (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.
6. **Report Generation and Visualization**:
- Daily PDF reports: 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: 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.
- 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
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.
- Address validation: Periodic activity checks (every 14 days) and removal of inactive addresses.
2. **Discovery of New Whales and DEX Hubs**:
- Automated "whale hunting".
- DEX factory scanning (Uniswap V2/V3, SushiSwap, Curve, etc.): Analysis of event logs to identify new routers and hubs, 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.
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 (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.
6. **Report Generation and Visualization**:
- Daily PDF reports: 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: 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.
- 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
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