Guide

Trading Bot Configuration

Default Settings

• Starting Capital: $2,000

• Minimum Trade: $10

• Maximum Trade: $100

• Trade Interval: 30 seconds

• Decision Model: Claude Sonnet 4.5

Customization

Edit app/api/trading/execute/route.ts:

const DEFAULT_STATE: TradingState = {
  cash: 2000.0,  // Change starting capital
  holdings: {},
  trades: [],
  totalTrades: 0,
  winningTrades: 0,
  portfolioValue: 2000.0,
}

Dashboard Refresh Intervals

Edit app/dashboard/page.tsx:

const trenchesInterval = 10000;      // 10 seconds
const tokenBoostsInterval = 10000;   // 10 seconds
const runnersInterval = 10000;       // 10 seconds
const polymarketInterval = 5000;     // 5 seconds
const hyperliquidInterval = 5000;    // 5 seconds

Cache Configuration

Edit API route files to adjust cache TTL:

const CACHE_TTL = 10000; // 10 seconds

// Cache-Control header
headers.set('Cache-Control', 's-maxage=10, stale-while-revalidate=20');

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Best Practices

Trading Bot

1. Monitor Performance Regularly

   • Check portfolio value daily

   • Review trade history weekly

   • Analyze win rate trends

2. Set Appropriate Limits

   • Adjust trade sizes based on risk tolerance

   • Set maximum position sizes

   • Configure stop-loss levels

3. Review AI Decisions

   • Check Backrooms reflections

   • Analyze trading patterns

   • Adjust strategy based on insights

Dashboard Usage

1. Use Real-Time Data

   • Refresh intervals are optimized

   • Don't manually refresh excessively

   • Trust the auto-refresh system

2. Monitor Multiple Markets

   • Check all three market types

   • Compare trends across markets

   • Identify correlations

3. Copy Addresses Carefully

   • Verify contract addresses before use

   • Use the built-in copy functionality

   • Double-check addresses in your wallet

Chat Interface

1. Ask Specific Questions

   • Be clear about what you want to know

   • Provide context when needed

   • Use URLs for specific analysis

2. Leverage Real-Time Data

   • Ask about current market conditions

   • Request analysis of recent trades

   • Get portfolio insights

3. Review AI Recommendations

   • Consider AI suggestions carefully

   • Verify with your own analysis

   • Don't blindly follow recommendations

Database Management

1. Regular Backups

   • MongoDB Atlas provides automatic backups

   • Export trading state periodically

   • Keep reflection history

2. Monitor Database Size

   • Reflections are limited to last 100

   • Trades are limited to last 100

   • Clean up old data if needed

3. Connection Management

   • Use connection pooling

   • Monitor connection limits

   • Optimize query performance

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