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trading-system

trading-system

github.com/alsk1992其他3.0k44 次安装7 周前更新
代码仓库

关于 trading-system

trading-system 是用于跟踪投资组合、交易和表现并管理交易机器人的统一系统。它会将交易记录写入 SQLite,并支持内置策略和自定义策略。

主要功能

  1. 01投资组合与持仓跟踪
  2. 02交易历史、统计数据及盈亏报告
  3. 03导出 CSV 和 JSON 交易记录
  4. 04机器人注册与生命周期管理
  5. 05内置策略及自定义策略
  6. 06自动将交易记录写入 SQLite

适用场景

  1. 01查看投资组合持仓和价值
  2. 02分析一段时间内的交易表现
  3. 03管理机器人及其策略
  4. 04导出交易记录以备份或审阅

安装

复制下面的命令,在终端中运行。

$npx skills add https://github.com/alsk1992/cloddsbot --skill trading-system

安装后在 Claude Code 中输入/trading-system确认已加载。

附带文件index.ts

详细介绍

交易系统 - 完整 API 参考

统一交易系统,支持自动记录到 SQLite、机器人管理和绩效分析。


聊天命令

投资组合
/trading portfolio                          # View all positions
/trading portfolio poly                     # Positions on Polymarket
/trading portfolio --value                  # Include current values
绩效
/trading stats                              # Overall statistics
/trading stats --period 30d                 # Last 30 days
/trading daily-pnl                          # Daily P&L breakdown
/trading weekly-pnl                         # Weekly P&L
/trading monthly-pnl                        # Monthly P&L
交易历史
/trading history                            # Recent trades
/trading history --limit 50                 # Last 50 trades
/trading history --platform poly            # Polymarket only
/trading export                             # Export to CSV
/trading export --format json               # Export as JSON
机器人管理
/bot list                                   # List all bots
/bot register <name> <strategy>             # Register new bot
/bot start <name>                           # Start bot
/bot stop <name>                            # Stop bot
/bot status <name>                          # Bot status
/bot delete <name>                          # Delete bot
机器人策略
/bot strategies                             # List available strategies
/bot create mean-reversion --config {...}   # Create with config
/bot create momentum --lookback 14          # Momentum strategy
/bot create arbitrage --min-spread 1        # Arbitrage strategy

TypeScript API 参考

创建交易系统
import { createTradingSystem } from 'clodds/trading';

const trading = createTradingSystem({
  // Execution service
  execution: executionService,

  // Auto-logging
  autoLog: true,
  logPath: './trades.db',

  // Bot configuration
  bots: {
    enabled: true,
    maxConcurrent: 5,
  },
});
投资组合
// Get portfolio
const portfolio = await trading.getPortfolio();

console.log(`Total value: $${portfolio.totalValue.toLocaleString()}`);
console.log(`Unrealized P&L: $${portfolio.unrealizedPnl.toLocaleString()}`);

for (const position of portfolio.positions) {
  console.log(`[${position.platform}] ${position.market}`);
  console.log(`  Side: ${position.side}`);
  console.log(`  Size: ${position.size}`);
  console.log(`  Avg price: ${position.avgPrice}`);
  console.log(`  Current: ${position.currentPrice}`);
  console.log(`  P&L: $${position.unrealizedPnl.toFixed(2)}`);
}
统计数据
// Get trading statistics
const stats = await trading.getStats({ period: '30d' });

console.log(`Total trades: ${stats.totalTrades}`);
console.log(`Win rate: ${(stats.winRate * 100).toFixed(1)}%`);
console.log(`Profit factor: ${stats.profitFactor.toFixed(2)}`);
console.log(`Total P&L: $${stats.totalPnl.toLocaleString()}`);
console.log(`Avg trade: $${stats.avgTrade.toFixed(2)}`);
console.log(`Largest win: $${stats.largestWin.toFixed(2)}`);
console.log(`Largest loss: $${stats.largestLoss.toFixed(2)}`);
console.log(`Sharpe ratio: ${stats.sharpeRatio.toFixed(2)}`);
console.log(`Max drawdown: ${(stats.maxDrawdown * 100).toFixed(1)}%`);
每日盈亏
// Get daily P&L
const dailyPnl = await trading.getDailyPnL({ days: 30 });

for (const day of dailyPnl) {
  const sign = day.pnl >= 0 ? '+' : '';
  console.log(`${day.date}: ${sign}$${day.pnl.toFixed(2)} (${day.trades} trades)`);
}
导出交易记录
// Export to CSV
await trading.exportTrades({
  format: 'csv',
  path: './trades.csv',
  from: '2024-01-01',
  to: '2024-12-31',
});

// Export to JSON
const trades = await trading.exportTrades({
  format: 'json',
  from: '2024-01-01',
});
机器人管理
// List bots
const bots = trading.bots.list();

// Register a bot
await trading.bots.register({
  name: 'my-arb-bot',
  strategy: 'arbitrage',
  config: {
    minSpread: 1,
    maxPositionSize: 500,
    platforms: ['polymarket', 'kalshi'],
  },
});

// Start bot
await trading.bots.start('my-arb-bot');

// Get status
const status = trading.bots.getStatus('my-arb-bot');
console.log(`Running: ${status.isRunning}`);
console.log(`Trades today: ${status.tradesToday}`);
console.log(`P&L today: $${status.pnlToday}`);

// Stop bot
await trading.bots.stop('my-arb-bot');

// Delete bot
await trading.bots.delete('my-arb-bot');
内置策略
// Mean Reversion
await trading.bots.register({
  name: 'mean-rev',
  strategy: 'mean-reversion',
  config: {
    lookbackPeriod: 20,
    deviationThreshold: 2,
    positionSize: 100,
  },
});

// Momentum
await trading.bots.register({
  name: 'momentum',
  strategy: 'momentum',
  config: {
    lookbackPeriod: 14,
    entryThreshold: 0.6,
    exitThreshold: 0.4,
    positionSize: 100,
  },
});

// Arbitrage
await trading.bots.register({
  name: 'arb',
  strategy: 'arbitrage',
  config: {
    minSpread: 1,
    minLiquidity: 500,
    maxPositionSize: 1000,
  },
});
自定义策略
// Register custom strategy
trading.bots.registerStrategy('my-strategy', {
  init: async (ctx) => {
    // Initialize state
  },

  evaluate: async (ctx) => {
    // Return signals
    return [
      {
        platform: 'polymarket',
        marketId: 'market-123',
        action: 'buy',
        side: 'YES',
        size: 100,
        reason: 'Signal triggered',
      },
    ];
  },

  onTrade: (trade) => {
    console.log(`Trade executed: ${trade.orderId}`);
  },

  cleanup: async () => {
    // Cleanup
  },
});

自动记录

所有交易都会自动记录到 SQLite:

-- trades table
SELECT * FROM trades
WHERE platform = 'polymarket'
ORDER BY timestamp DESC
LIMIT 10;

-- Get win rate
SELECT
  COUNT(CASE WHEN pnl > 0 THEN 1 END) * 100.0 / COUNT(*) as win_rate
FROM trades;

最佳实践

  1. 从模拟交易开始 - 先使用 dry-run 模式
  2. 设置仓位限制 - 防止过度暴露风险
  3. 定期监控机器人 - 不要设置后就置之不理
  4. 每周检查绩效 - 调整策略
  5. 定期导出数据 - 备份交易历史

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