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# Trading Logic Guide
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- [trader.py](mdc:src/trading/trader.py) is the main entry point for trading operations, orchestrating buy and sell actions.
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- [buyer.py](mdc:src/trading/buyer.py) implements logic for buying assets.
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- [seller.py](mdc:src/trading/seller.py) implements logic for selling assets.
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- [position.py](mdc:src/trading/position.py) manages trading positions.
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- [base.py](mdc:src/trading/base.py) provides base classes and shared abstractions for trading components.
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description:
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globs:
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alwaysApply: false
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---
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description: Core trading functionality including buy/sell operations, position management, and execution strategies. Apply when working with trading logic or transaction execution.
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globs: src/trading/*.py
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alwaysApply: true
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---
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# Trading System Guide
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## Overview
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The trading module forms the core of the pump-bot's execution capabilities, handling token purchases, sales, position management, and trading strategy implementation. This system translates token detection events into actual on-chain transactions.
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## Core Components
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### Trading Coordinator
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@src/trading/trader.py implements the `PumpTrader` class which:
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- Orchestrates the entire trading lifecycle
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- Manages token detection to execution flow
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- Implements risk management controls
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- Coordinates buy and sell operations
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- Handles position tracking and reporting
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```python
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# Example usage
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trader = PumpTrader(config, client, wallet)
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await trader.process_token(token_info)
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```
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### Buy Operations
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@src/trading/buyer.py provides the `TokenBuyer` class:
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- Implements token purchase logic
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- Handles slippage calculation and management
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- Creates and submits buy transactions
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- Validates transaction success
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### Sell Operations
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@src/trading/seller.py implements the `TokenSeller` class:
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- Manages token selling operations
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- Implements various exit strategies
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- Handles profit calculation and optimization
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- Ensures proper transaction construction
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### Position Management
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@src/trading/position.py offers position tracking:
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- Records entry and exit prices
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- Calculates profit/loss metrics
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- Manages position state throughout lifecycle
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- Implements risk management boundaries
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### Base Abstractions
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@src/trading/base.py defines core abstractions:
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- Common interfaces for trading components
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- Shared data structures
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- Type definitions and constants
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- Interface contracts for strategy implementations
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## Trading Strategies
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The system supports multiple exit strategies:
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1. **Time-Based**: Automatically sells after a configurable holding period
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2. **TP/SL**: Uses Take Profit / Stop Loss targets to manage exits
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3. **Manual**: Requires explicit sell commands
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```yaml
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# Configuration example
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trade:
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exit_strategy: "tp_sl"
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take_profit_percentage: 0.2
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stop_loss_percentage: 0.2
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```
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## Common Trading Flows
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| Operation | Flow |
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|-----------|------|
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| Token Purchase | Detection → Validation → Buy Transaction → Position Creation |
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| Token Sale | Strategy Trigger → Position Update → Sell Transaction → Cleanup |
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| Error Handling | Error Detection → Transaction Retry → Position Closure → Cleanup |
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## Related Files
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- @src/trading/trader.py: Main trading coordination
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- @src/trading/buyer.py: Buy transaction implementation
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- @src/trading/seller.py: Sell transaction implementation
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- @src/trading/position.py: Position tracking and management
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- @src/trading/base.py: Core abstractions and interfaces
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