CLAW Betting AI Advisory

AI-powered betting advisory system for gaming platforms like Stake.com. Provides intelligent recommendations based on historical data analysis, risk tolerance, and proven betting strategies.

Website: https://clawde.xyz

Features

Smart Bet Recommendations: AI-analyzed optimal bet amounts and timing
Crash Game Analysis: Historical pattern analysis for crash games
Risk Management: Dynamic stop-loss and take-profit suggestions
Bankroll Protection: Kelly Criterion and flat betting strategies
Multi-Strategy Support: Martingale, Anti-Martingale, Fibonacci, D'Alembert

Quick Start

# Install the skill
clawhub install claw-betting-ai

# Configure your settings
cp config/default.json config/local.json
# Edit config/local.json with your preferences

Supported Games

Game	Analysis Method
Crash	Historical crashpoint analysis, multiplier patterns
Dice	Probability optimization, streak detection
Limbo	Target multiplier recommendations
Slide	Pattern recognition

Files Included

claw-betting-ai/
├── SKILL.md              # This file
├── config/
│   └── default.json      # Default configuration
├── scripts/
│   ├── analyze.py        # Crash history analyzer
│   └── recommend.py      # Bet recommendation engine
└── examples/
    ├── basic-usage.md    # Getting started guide
    └── strategies.md     # Strategy documentation

Configuration

See config/default.json for all available options:

strategy: betting strategy (conservative/balanced/aggressive)
bankroll: starting bankroll amount
baseBetPercent: base bet as % of bankroll
stopLoss: stop-loss threshold
takeProfit: take-profit target
maxBets: maximum bets per session

Core Strategies

1. Conservative (Low Risk)

Target: 1.5x - 2x multipliers
Win rate: ~50-65%
Max 1% bankroll per bet

2. Balanced (Medium Risk)

Target: 2x - 5x multipliers
Win rate: ~25-45%
Max 2% bankroll per bet

3. Aggressive (High Risk)

Target: 5x - 20x multipliers
Win rate: ~5-15%
Max 5% bankroll per bet

API Reference

See examples/basic-usage.md for full API documentation.

Get Recommendation

from scripts.recommend import get_recommendation

result = get_recommendation(
    bankroll=100,
    strategy="balanced",
    recent_history=[1.2, 3.5, 1.8, 2.1, 5.2]
)
# Returns: { shouldBet: true, amount: 2.0, target: 2.5, confidence: 72 }

Safety Features

Tilt Detection: Warns when betting patterns indicate emotional decisions
Session Limits: Enforces time and loss limits
Profit Locking: Auto-protects portion of winnings
Reality Checks: Periodic reminders

Disclaimer

This is an advisory system only. Gambling involves risk of loss. Never bet more than you can afford to lose. Past patterns do not guarantee future results.

claw-betting-ai

Safety Notice

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