Skills Plugins MCP Prompt Model 博客 我的中心

trading-system

Unified trading system with auto-logging, bots, and performance analytics

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=alsk1992-cloddsbot-src-skills-bundled-trading-system-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name trading-system description Unified trading system with auto-logging, bots, and performance analytics emoji 🤖 gates {"envs":{"anyOf":["POLY_API_KEY","KALSHI_API_KEY"]}} Trading System - Complete API Reference Unified trading system with auto-logging to SQLite, bot management, and performance analytics. Chat Commands Portfolio /trading portfolio # View all positions /trading portfolio poly # Positions on Polymarket /trading portfolio --value # Include current values Performance /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 Trade History /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 Bot Management /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 Bot Strategies /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 Reference Create Trading System 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 , }, }); Portfolio // 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 )} ` ); } Statistics // 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 )} %` ); Daily P&L // 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)` ); } Export Trades // 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' , }); Bot Management // 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' ); Built-in Strategies // 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 , }, }); Custom Strategy // 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 }, }); Auto-Logging All trades are automatically logged to 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; Best Practices Start with paper trading - Use dry-run mode first Set position limits - Prevent overexposure Monitor bots regularly - Don't set and forget Review performance weekly - Adjust strategies Export data regularly - Backup your trade history
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。