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 amountbaseBetPercent: base bet as % of bankrollstopLoss: stop-loss thresholdtakeProfit: take-profit targetmaxBets: 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.
Links
- Website: https://clawde.xyz
- Support: Contact via website