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Trade history tracking, sync, and performance analytics
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/shreed27/DAIN --skill historyコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
SOC 職業分類に基づく
SKILL.md を表示中
| name | history |
| description | Trade history tracking, sync, and performance analytics |
| emoji | 📊 |
| gates | {"envs":{"anyOf":["POLY_API_KEY","KALSHI_API_KEY"]}} |
Fetch, sync, and analyze trade history from Polymarket and Kalshi with detailed performance metrics.
/history fetch # Fetch all trades from APIs
/history fetch poly # Fetch Polymarket only
/history fetch --from 2024-01-01 # From specific date
/history sync # Sync to local database
/history list # Recent trades
/history list --limit 50 # Last 50 trades
/history list --platform poly # Polymarket only
/history list --market <id> # Specific market
/history stats # Overall statistics
/history stats --period 30d # Last 30 days
/history stats --platform kalshi # Platform-specific
/history daily-pnl # Daily P&L
/history weekly-pnl # Weekly P&L
/history monthly-pnl # Monthly P&L
/history by-market # P&L by market category
/history export # Export to CSV
/history export --format json # Export as JSON
/history export --from 2024-01-01 # Date range
/history filter --side buy # Only buys
/history filter --pnl positive # Only winners
/history filter --pnl negative # Only losers
/history filter --min-size 100 # Min $100 trades
import { createTradeHistoryService } from 'clodds/history';
const history = createTradeHistoryService({
polymarket: {
apiKey: process.env.POLY_API_KEY,
address: process.env.POLY_ADDRESS,
},
kalshi: {
apiKey: process.env.KALSHI_API_KEY,
},
// Local storage
dbPath: './trade-history.db',
});
// Fetch all trades from exchange APIs
const trades = await history.fetchTrades({
platforms: ['polymarket', 'kalshi'],
from: '2024-01-01',
});
console.log(`Fetched ${trades.length} trades`);
// Fetch from specific platform
const polyTrades = await history.fetchTrades({
platforms: ['polymarket'],
limit: 100,
});
// Sync fetched trades to local database
await history.syncToDatabase();
console.log('Trades synced to database');
// Get trades from local storage
const trades = await history.getTrades({
platform: 'polymarket',
from: '2024-01-01',
to: '2024-12-31',
limit: 100,
});
for (const trade of trades) {
console.log(`${trade.timestamp}: ${trade.side} ${trade.market}`);
console.log(` Size: $${trade.size}`);
console.log(` Price: ${trade.price}`);
console.log(` P&L: $${trade.pnl?.toFixed(2) || 'open'}`);
}
// Get comprehensive statistics
const stats = await history.getStats({
period: '30d',
platform: 'polymarket',
});
console.log(`=== Trading Statistics (30d) ===`);
console.log(`Total trades: ${stats.totalTrades}`);
console.log(`Winning trades: ${stats.winningTrades}`);
console.log(`Losing trades: ${stats.losingTrades}`);
console.log(`Win rate: ${(stats.winRate * 100).toFixed(1)}%`);
console.log(`\nP&L:`);
console.log(` Total: $${stats.totalPnl.toLocaleString()}`);
console.log(` Gross profit: $${stats.grossProfit.toLocaleString()}`);
console.log(` Gross loss: $${stats.grossLoss.toLocaleString()}`);
console.log(` Profit factor: ${stats.profitFactor.toFixed(2)}`);
console.log(`\nTrade sizes:`);
console.log(` Average: $${stats.avgTradeSize.toFixed(2)}`);
console.log(` Largest win: $${stats.largestWin.toFixed(2)}`);
console.log(` Largest loss: $${stats.largestLoss.toFixed(2)}`);
console.log(`\nRisk metrics:`);
console.log(` Sharpe ratio: ${stats.sharpeRatio.toFixed(2)}`);
console.log(` Max drawdown: ${(stats.maxDrawdown * 100).toFixed(1)}%`);
// Get daily P&L breakdown
const dailyPnl = await history.getDailyPnL({
days: 30,
platform: 'polymarket',
});
console.log('=== Daily P&L ===');
for (const day of dailyPnl) {
const sign = day.pnl >= 0 ? '+' : '';
const bar = day.pnl >= 0
? '█'.repeat(Math.min(Math.floor(day.pnl / 10), 20))
: '▓'.repeat(Math.min(Math.floor(Math.abs(day.pnl) / 10), 20));
console.log(`${day.date} | ${sign}$${day.pnl.toFixed(2).padStart(8)} | ${bar}`);
}
// Get performance breakdown by market category
const byMarket = await history.getPerformanceByMarket({
period: '30d',
});
console.log('=== Performance by Market Category ===');
for (const [category, data] of Object.entries(byMarket)) {
console.log(`\n${category}:`);
console.log(` Trades: ${data.trades}`);
console.log(` Win rate: ${(data.winRate * 100).toFixed(1)}%`);
console.log(` P&L: $${data.pnl.toLocaleString()}`);
console.log(` Avg trade: $${data.avgTrade.toFixed(2)}`);
}
// Export to CSV
await history.exportCsv({
path: './trades.csv',
from: '2024-01-01',
to: '2024-12-31',
columns: ['timestamp', 'platform', 'market', 'side', 'size', 'price', 'pnl'],
});
// Export to JSON
const json = await history.exportJson({
from: '2024-01-01',
});
CREATE TABLE trades (
id TEXT PRIMARY KEY,
platform TEXT NOT NULL,
market_id TEXT NOT NULL,
market_question TEXT,
side TEXT NOT NULL, -- 'buy' or 'sell'
outcome TEXT, -- 'YES' or 'NO'
size REAL NOT NULL,
price REAL NOT NULL,
fee REAL DEFAULT 0,
pnl REAL,
timestamp INTEGER NOT NULL,
created_at INTEGER DEFAULT (strftime('%s', 'now'))
);
CREATE INDEX idx_trades_platform ON trades(platform);
CREATE INDEX idx_trades_timestamp ON trades(timestamp);
CREATE INDEX idx_trades_market ON trades(market_id);