--- name: history-53bc00a99aee description: "Trade history tracking, sync, and performance analytics" emoji: "📊" gates: envs: anyOf: - POLY_API_KEY - KALSHI_API_KEY --- # Trade History - Complete API Reference Fetch, sync, and analyze trade history from Polymarket and Kalshi with detailed performance metrics. --- ## Chat Commands ### Fetch & Sync ``` /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 ``` ### View History ``` /history list # Recent trades /history list --limit 50 # Last 50 trades /history list --platform poly # Polymarket only /history list --market # Specific market ``` ### Statistics ``` /history stats # Overall statistics /history stats --period 30d # Last 30 days /history stats --platform kalshi # Platform-specific ``` ### P&L Analysis ``` /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 ``` ### Export ``` /history export # Export to CSV /history export --format json # Export as JSON /history export --from 2024-01-01 # Date range ``` ### Filtering ``` /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 ``` --- ## TypeScript API Reference ### Create History Service ```typescript 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 Trades from APIs ```typescript // Fetch all trades from exchange APIs const trades = await history.fetchTrades({ platforms: ['polymarket', 'kalshi'], from: '2024-01-01', }); console.log(`Fetched ${trades.length} trades`); // Fetch from specific platform const polyTrades = await history.fetchTrades({ platforms: ['polymarket'], limit: 100, }); ``` ### Sync to Database ```typescript // Sync fetched trades to local database await history.syncToDatabase(); console.log('Trades synced to database'); ``` ### Get Trades ```typescript // Get trades from local storage const trades = await history.getTrades({ platform: 'polymarket', from: '2024-01-01', to: '2024-12-31', limit: 100, }); for (const trade of trades) { console.log(`${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'}`); } ``` ### Statistics ```typescript // 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: ${(stats.maxDrawdown * 100).toFixed(1)}%`); ``` ### Daily P&L ```typescript // Get daily P&L breakdown const dailyPnl = await history.getDailyPnL({ days: 30, platform: 'polymarket', }); console.log('=== Daily P&L ==='); for (const day of dailyPnl) { const sign = day.pnl >= 0 ? '+' : ''; const bar = day.pnl >= 0 ? '█'.repeat(Math.min(Math.floor(day.pnl / 10), 20)) : '▓'.repeat(Math.min(Math.floor(Math.abs(day.pnl) / 10), 20)); console.log(`${day.date} | ${sign}$${day.pnl.toFixed(2).padStart(8)} | ${bar}`); } ``` ### Performance by Market ```typescript // Get performance breakdown by market category const byMarket = await history.getPerformanceByMarket({ period: '30d', }); console.log('=== Performance by Market Category ==='); for (const [category, data] of Object.entries(byMarket)) { console.log(`\n${category}:`); console.log(` Trades: ${data.trades}`); console.log(` Win rate: ${(data.winRate * 100).toFixed(1)}%`); console.log(` P&L: $${data.pnl.toLocaleString()}`); console.log(` Avg trade: $${data.avgTrade.toFixed(2)}`); } ``` ### Export ```typescript // 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', }); ``` --- ## Database Schema ```sql 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); ``` --- ## Best Practices 1. **Sync regularly** - Keep local database up to date 2. **Export backups** - Periodically export to CSV 3. **Review weekly** - Analyze performance patterns 4. **Track by category** - Identify strong/weak areas 5. **Monitor drawdown** - Set alerts for max drawdown --- Source attribution: alsk1992 Original project: https://github.com/alsk1992/CloddsBot/blob/c930628c47a4a745f497e29035a3b64622f97cc7/src/skills/bundled/history/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Dave AI. ## Upstream license notice MIT License Copyright (c) 2026 alsk1992 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Dave AI resource metadata Creator / publisher: alsk1992 Original project: https://github.com/alsk1992/CloddsBot/blob/c930628c47a4a745f497e29035a3b64622f97cc7/src/skills/bundled/history/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Marketing Roles: Data Analyst, Growth Marketer, Marketing Analyst Specialties: API, Database Tools: Kalshi, Polymarket Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: cddee5b835ff80a91fd2a1912d3ac1e0dfb3e99b01b7619f80503d5af7c029b2