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GoemonYae Trading System

YaeBot FAQ

Overview & Access

Section titled “Overview & Access”
What is YaeBot and what can it do?

YaeBot is GYTS’s AI-powered Discord analytics companion offering:

Available Features:

  • Potential Path Modeler - Monte Carlo simulations
  • Bootstrap Edge Validator - Statistical validation
  • Pattern Seeker - Market pattern recognition
  • Signal Sentinel (coming soon) - Trading alerts

Key capabilities:

  • Analyze TradingView backtest results
  • Generate probability distributions
  • Find similar market conditions
  • Validate strategy performance

Full YaeBot documentation →

How do I access YaeBot?
  1. Join our Discord server
  2. Verify your email with Discord
  3. Check your role:
    • @algo-apprentice: Basic features
    • @goemon-warrior: Enhanced features
    • @goemonyae-master: Full access (coming)
  4. Use YaeBot in designated channels

Channel access by path:

  • Apprentice: #yaebot-public
  • Warrior: #yaebot-warrior + public
  • Master: All channels + beta features
Why Discord instead of a web interface?

Strategic advantages:

  1. Community Integration - Share insights instantly
  2. Cross-Platform - Works on all devices
  3. Rapid Updates - Deploy features immediately
  4. Server Performance - Complex calculations without browser limits
  5. Focus on R&D - Prioritize research over UI development

User benefits:

  • No installations required
  • Collaborative analysis
  • Real-time support
  • Mobile accessibility

Feature Comparison

Section titled “Feature Comparison”
What’s available for each subscription path?

Free Features:

  • Basic Monte Carlo (100 simulations)
  • Pattern Seeker (limited history)
  • Bootstrap validation (basic)
  • 1 week historical data

Limitations:

  • 5 requests per day
  • Basic visualizations only
  • No custom parameters

Using YaeBot

Section titled “Using YaeBot”
How do I submit backtest data for analysis?

Quick method:

  1. Export from TradingView (Strategy Tester → Export)
  2. Copy CSV data
  3. Use YaeBot command:
/analyze backtest
[paste CSV data]

Detailed steps:

  • Ensure data includes: entry/exit times, P&L, position size
  • Remove any personal information
  • Check CSV formatting (comma-separated)

Detailed guide →

What commands are available?

Core Commands:

/analyze backtest - Submit backtest data
/simulate monte-carlo - Run probability simulations
/pattern search - Find similar market conditions
/validate bootstrap - Statistical validation

Parameters (Warrior+):

  • --simulations 1000 - Number of runs
  • --confidence 95 - Confidence level
  • --period 30d - Analysis period
  • --market BTCUSDT - Specific market

Coming soon: /signals subscribe for alerts

How do I interpret Monte Carlo results?

Key metrics explained:

  • P50 (Median): Expected outcome
  • P25/P75: Middle 50% range
  • P5/P95: Extreme scenarios
  • Sharpe Ratio: Risk-adjusted returns
  • Max Drawdown: Worst case scenario

Reading the distribution:

  • Bell curve = normal/expected
  • Skewed right = positive bias
  • Skewed left = negative bias
  • Wide spread = high uncertainty

Decision rules:

  • P25 > 0 = Robust strategy
  • P5 > -10% = Acceptable risk
  • Sharpe > 1.0 = Good risk/reward

Technical Details

Section titled “Technical Details”
What market data does YaeBot use?

Data sources:

  • Primary: Binance spot/futures
  • Update frequency: Every 5 minutes
  • History available:
    • Apprentice: 1 week
    • Warrior: 6 months
    • Master: 2+ years

Supported markets:

  • All major crypto pairs
  • Forex pairs (coming Q2)
  • Stock indices (planned)

Data quality:

  • Cleaned for anomalies
  • Adjusted for splits/halts
  • Validated against multiple sources
How secure is my trading data?

Privacy measures:

  • Data processed in memory only
  • Auto-deleted after analysis
  • No permanent storage
  • No third-party sharing
  • Encrypted Discord connection

What we DON’T store:

  • Personal information
  • Account details
  • Actual positions
  • Trade history

What we DO track:

  • Usage statistics (anonymous)
  • Feature popularity
  • Error rates for improvement
What are the technical limitations?

Processing limits:

  • Max 10,000 trades per analysis
  • 5MB file size limit
  • 60-second timeout per request
  • CSV/JSON formats only

Accuracy considerations:

  • Monte Carlo: ±5% variance
  • Pattern matching: 85% similarity threshold
  • Bootstrap: Minimum 30 samples needed
  • Assumes normal market conditions

Not suitable for:

  • HFT strategies (>100 trades/day)
  • Options/complex derivatives
  • Illiquid markets
  • Strategies with <30 trades

Troubleshooting

Section titled “Troubleshooting”
YaeBot isn’t responding to my commands

Quick checks:

  1. Correct channel? (Check channel topic)
  2. Correct format? (Start with /)
  3. Bot online? (Green status dot)
  4. Rate limited? (Wait 1 minute)

Common fixes:

  • Refresh Discord (Ctrl+R)
  • Check role permissions
  • Try simpler command first
  • Verify data format

If persists: Report in #technical-help

Analysis results seem incorrect

Data validation:

  • Check CSV headers match expected
  • Verify date formats (YYYY-MM-DD)
  • Ensure P&L in consistent currency
  • Remove any text in number fields

Common issues:

  • Mixed date formats
  • Percentage vs decimal (0.01 vs 1%)
  • Commission not included
  • Timezone mismatches

Test with: Small sample (10 trades) first

”Rate limit exceeded” error

Limits by path:

  • Apprentice: 5/day, 1/hour
  • Warrior: 50/day, 10/hour
  • Master: Unlimited (coming)

Reset times:

  • Daily: 00:00 UTC
  • Hourly: Top of hour

Tips:

  • Batch analyses together
  • Use optimal parameters first time
  • Save important results

Advanced Usage

Section titled “Advanced Usage”
Can I automate YaeBot analysis?

Currently: Manual Discord commands only

Coming Q3 2025:

  • Webhook integration
  • API endpoints
  • Scheduled analysis
  • Custom alerts

Workarounds:

  • Discord bots (with permission)
  • Copy/paste templates
  • Bookmark common commands
How to optimize analysis parameters?

Monte Carlo optimization:

Volatility market: --simulations 2000
Stable market: --simulations 500
Quick test: --simulations 100

Pattern search tips:

  • Recent patterns: —lookback 30d
  • Seasonal: —lookback 365d
  • Similar volatility: —vol-match true

Bootstrap settings:

  • Min confidence: 90%
  • Stable strategies: 95%
  • Experimental: 80%

Roadmap & Future

Section titled “Roadmap & Future”
What YaeBot features are coming?

Q1-Q2 2025:

  • Signal Sentinel launch
  • TradingView direct integration
  • More market data sources
  • Enhanced visualizations

Q3 2025:

  • Full reconstruction complete
  • API access for Master path
  • Custom indicator support
  • Multi-strategy analysis

Q4 2025:

  • Web interface option
  • Automated reporting
  • Portfolio analysis
  • Risk metrics dashboard
YaeBot Documentation Complete feature guide
Discord Community Get help and share results

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