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MQL5 지표 EA Forex Trading robot/indicator debugging Strategy optimization Statistics and mathematics C++ Strategy modules Python Panels and dialog boxes C# Stocks Custom graphics Futures MySQL Product Design JavaScript Options Java Collection of data on the internet SQL HTML PHP Uploading data to a website Data mining Text writing Text translation OpenCL ALGLIB PostgreSQL Linux Photoshop RegExp

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The trading bot is an automated software system designed to monitor financial markets, execute trades, and manage risk based on predefined strategies. The bot aims to maximize profits while minimizing human intervention and emotional decision-making.
Scope:
Supports automated trading on selected exchanges (e.g., Binance, Bitget, Coinbase).
Executes trades based on technical indicators, signals, or AI models.
Provides reporting and analytics for performance tracking.2.1 Market Data Handling
Connect to exchange APIs to fetch real-time price data.
Support multiple trading pairs (e.g., BTC/USDT, ETH/USDT).
Provide historical market data for backtesting strategies.
2.2 Trading Strategy Implementation
Implement pre-defined strategies:
Trend-following (Moving Averages, MACD)
Mean reversion (RSI, Bollinger Bands)
Arbitrage (cross-exchange or cross-pair)
Allow user-defined/custom strategies via scripts or config files.
2.3 Trade Execution
Place market and limit orders.
Cancel or modify orders based on market conditions.
Execute trades with configurable risk parameters (stop-loss, take-profit).
2.4 Risk Management
Set maximum trade size and exposure limits.
Implement stop-loss and take-profit per trade.
Provide daily/weekly/monthly risk reports.
2.5 Notifications and Alerts
Send alerts for executed trades, errors, or unusual market movements via:
Email
Telegram/WhatsApp
In-app dashboard
2.6 Reporting & Analytics
Track profits, losses, and performance metrics.
Generate backtesting reports to evaluate strategy effectiveness.
Maintain trade logs with timestamps, prices, and volumes.
3. Non-Functional Requirements
Performance: Must process market data in real-time (<1 second delay).
Reliability: Handle API failures, network downtime, and reconnect automatically.
Security:
Secure API keys with encryption.
Two-factor authentication for admin dashboard.
Scalability: Ability to support multiple exchanges and trading pairs simultaneously.
Usability: User-friendly configuration and monitoring interface (web or desktop).
4. Technical Requirements
Programming Language: Python or Node.js recommended for exchange API support.
Database: PostgreSQL or MongoDB to store historical and trade data.
API Integration: Support REST and WebSocket APIs from exchanges.
Deployment:
Dockerized for easy deployment and scalability.
Runs on cloud servers (AWS, Google Cloud, or DigitalOcean) or local machine.
5. Constraints
API rate limits imposed by exchanges.
Market liquidity affecting order execution.
Regulatory restrictions depending on user jurisdiction.
6. Future Enhancements
AI/ML-based predictive models for market trends.
Multi-account management for portfolio diversification.
Integration with mobile apps for real-time monitoring.

파일:

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