Project: an automated bot in Telegram that analyzes market data, makes trading decisions, and executes trades on the exchange (buy/sell).
Goal: to provide automated trading, reduce manual intervention, improve response speed to market changes, minimize emotional interference from the trader.
Functional modules:
- Connection to the exchange API (Binance, Coinbase, Kraken, or others)
- Receiving market data (prices, volumes, order books, historical data)
- Data analysis using technical indicators (Moving Average, RSI, MACD, etc.)
- Entry/exit strategy: setting signals for buying or selling
- Calculation of position sizes, risk management (stop-loss, take-profit, maximum allowable lot size)
- Order execution: market, limit, stop orders
- Monitoring open positions, updating statuses, adjusting in case of market changes
- Sending messages in Telegram: notifications about signals, executed orders, portfolio status, errors
- Logging all operations / trading history
- Managing the bot through commands in Telegram (on/off, view balance, manual intervention)
- Ensuring security: encryption of API keys, access restrictions
Technologies:
- Programming language: Python (with trading libraries like ccxt, pandas, numpy), Node.js
- Libraries/modules for Telegram: python-telegram-bot, Telegram Bot API library
- Integration with exchange APIs: Binance API, CCXT
- Data processing: pandas, numpy
- Database: SQLite
- Logging/monitoring: logging, Sentry or similar services
- Hosting environment: VPS/server/serverless
- Security: storing API keys in encrypted form, input validation from users
#pyTelegramBotAPI #telegram #chat-bot #python #mssql
Goal: to provide automated trading, reduce manual intervention, improve response speed to market changes, minimize emotional interference from the trader.
Functional modules:
- Connection to the exchange API (Binance, Coinbase, Kraken, or others)
- Receiving market data (prices, volumes, order books, historical data)
- Data analysis using technical indicators (Moving Average, RSI, MACD, etc.)
- Entry/exit strategy: setting signals for buying or selling
- Calculation of position sizes, risk management (stop-loss, take-profit, maximum allowable lot size)
- Order execution: market, limit, stop orders
- Monitoring open positions, updating statuses, adjusting in case of market changes
- Sending messages in Telegram: notifications about signals, executed orders, portfolio status, errors
- Logging all operations / trading history
- Managing the bot through commands in Telegram (on/off, view balance, manual intervention)
- Ensuring security: encryption of API keys, access restrictions
Technologies:
- Programming language: Python (with trading libraries like ccxt, pandas, numpy), Node.js
- Libraries/modules for Telegram: python-telegram-bot, Telegram Bot API library
- Integration with exchange APIs: Binance API, CCXT
- Data processing: pandas, numpy
- Database: SQLite
- Logging/monitoring: logging, Sentry or similar services
- Hosting environment: VPS/server/serverless
- Security: storing API keys in encrypted form, input validation from users
#pyTelegramBotAPI #telegram #chat-bot #python #mssql