lead-lag-scripts/src/record/strategy.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
交易策略模块
实现基于Lighter和Binance价差的交易策略
"""

import logging
from enum import Enum
from datetime import datetime
import os
import lighter


# 配置日志
logs_dir = "logs"
if not os.path.exists(logs_dir):
    os.makedirs(logs_dir)

logger = logging.getLogger("strategy")


class StrategyState(Enum):
    """策略状态枚举"""
    WAITING_INIT = 1  # 等待初始化
    IDLE_MONITORING = 2  # 空闲状态监听价差
    EXECUTING_TRADE = 3  # 价差达成触发交易
    WAITING_CONVERGENCE = 4  # 交易完成等待价差收敛
    CLOSING_POSITION = 5  # 收敛完成进行平仓
    POSITION_CLOSED = 6  # 平仓完成


class TradingStrategy:
    """交易策略类"""
    
    def __init__(self):
        """初始化策略"""
        self.state = StrategyState.WAITING_INIT
        self.current_position = None    # 当前持仓信息
        self.entry_price_bps = 5        # 入场时的价差
        self.target_symbol = "DOGE"     # 目标交易对

        self.account_index = 281474976643718
        self.api_client = lighter.ApiClient()
        self.account_api = lighter.AccountApi(self.api_client)
        self.signer_client = lighter.SignerClient(  
            url='https://mainnet.zklighter.elliot.ai',  
            private_key='0xf3625c4662ab0b338e405f61b7555e90aeda8fa28dd607588c9e275dc6f326ddcbd9341e18ca2950',  
            account_index=self.account_index,
            api_key_index=0
        )
        
        logger.info("策略初始化完成，当前状态: WAITING_INIT")
    
    async def do_strategy(self, market_data):
        """
        执行策略逻辑
        
        Args:
            market_data: 包含市场数据的字典，格式:
            {
                'symbol': str,
                'binance_mark_price': float,
                'binance_price': float,
                'lighter_mark_price': float,
                'lighter_price': float,
                'timestamp': int
            }
        """
        if not market_data:
            return
        
        symbol = market_data.get('symbol')
        
        # 如果是DOGE交易对，打印实时行情
        if symbol == self.target_symbol:
            await self._print_market_data(market_data)
        
        # 根据当前状态执行相应逻辑
        if self.state == StrategyState.WAITING_INIT:
            await self._handle_waiting_init()
        elif self.state == StrategyState.IDLE_MONITORING:
            await self._handle_idle_monitoring(market_data)
        elif self.state == StrategyState.EXECUTING_TRADE:
            await self._handle_executing_trade(market_data)
        elif self.state == StrategyState.WAITING_CONVERGENCE:
            await self._handle_waiting_convergence(market_data)
        elif self.state == StrategyState.CLOSING_POSITION:
            await self._handle_closing_position(market_data)
        elif self.state == StrategyState.POSITION_CLOSED:
            await self._handle_position_closed()
    
    async def _print_market_data(self, market_data):
        """打印市场数据"""
        symbol = market_data.get('symbol')
        # binance_mark = market_data.get('binance_mark_price')
        binance_price = market_data.get('binance_price')
        # lighter_mark = market_data.get('lighter_mark_price')
        lighter_price = market_data.get('lighter_price')
        
        # 计算价差，转换为bps单位
        if binance_price and lighter_price:
            # 确保两个价格都是浮点数
            binance_price_float = float(binance_price) if isinstance(binance_price, str) else binance_price
            lighter_price_float = float(lighter_price) if isinstance(lighter_price, str) else lighter_price
            
            # 计算价差并转换为bps (1bps = 0.01%)
            price_diff_bps = int((lighter_price_float - binance_price_float) / binance_price_float * 10000) if binance_price_float else 0
        else:
            price_diff_bps = None
        
        # 格式化输出
        price_diff_str = f"{price_diff_bps}bps" if price_diff_bps is not None else "N/A"
        
        logger.info(f"[{symbol}] Binance: 最新价={binance_price} | Lighter: 最新价={lighter_price} | 价差={price_diff_str}")
        account = await self.account_api.account(by="index", value=f"{self.account_index}")
        logger.info(f"账户状态: {account}")
    
    async def _handle_waiting_init(self):
        """处理等待初始化状态"""
        # 初始化完成后转到空闲监听状态
        self.state = StrategyState.IDLE_MONITORING
        logger.info("状态转换: WAITING_INIT -> IDLE_MONITORING")
    
    async def _handle_idle_monitoring(self, market_data):
        """处理空闲监听状态 - 监控价差"""
        # TODO: 实现价差监控逻辑
        pass
    
    async def _handle_executing_trade(self, market_data):
        """处理执行交易状态"""
        # TODO: 实现交易执行逻辑
        pass
    
    async def _handle_waiting_convergence(self, market_data):
        """处理等待收敛状态"""
        # TODO: 实现等待价差收敛逻辑
        pass
    
    async def _handle_closing_position(self, market_data):
        """处理平仓状态"""
        # TODO: 实现平仓逻辑
        pass
    
    async def _handle_position_closed(self):
        """处理平仓完成状态"""
        # 平仓完成后回到空闲监听状态
        self.state = StrategyState.IDLE_MONITORING
        logger.info("状态转换: POSITION_CLOSED -> IDLE_MONITORING")