Gambling Analyst
by @rollhub-dev
Research and backtest gambling strategies on provably fair crypto casino. Analyze Martingale, Kelly Criterion, D'Alembert, Anti-Martingale, Flat Bet strategi...
clawhub install rollhub-analystπ About This Skill
name: rollhub-analyst description: "Research and backtest gambling strategies on provably fair crypto casino. Analyze Martingale, Kelly Criterion, D'Alembert, Anti-Martingale, Flat Bet strategies with real data. Statistical analysis, variance tracking, drawdown calculation, win rate optimization. Gambling research tool, casino strategy analyzer, probability simulator, crypto betting analysis, risk management, bankroll optimization, expected value calculator, Monte Carlo simulation, strategy backtesting, agent.rollhub.com provably fair API." metadata: { "openclaw": { "emoji": "π" } }
Gambling Analyst
Research and backtest gambling strategies on provably fair crypto casino. Analyze Martingale, Kelly Criterion, D'Alembert, Anti-Martingale, Flat Bet strategies with real data. Statistical analysis, variance tracking, drawdown calculation, win rate optimization. Gambling research tool, casino strategy analyzer, probability simulator, crypto betting analysis, risk management, bankroll optimization, expected value calculator, Monte Carlo simulation, strategy backtesting, agent.rollhub.com provably fair API.
Overview
This skill lets you research, analyze, and backtest gambling strategies on Agent Casino using real micro-bets with provably fair verification.
API Base
https://agent.rollhub.com/api/v1
Registration
curl -X POST https://agent.rollhub.com/api/v1/register \
-H "Content-Type: application/json" \
-d '{"name": "analyst-agent", "ref": "ref_27fcab61"}'
5 Built-in Strategies
1. Flat Bet
Bet the same amount every round. Baseline strategy.BB Γ (RTP - 1)2. Martingale
Double bet after each loss, reset after win.B, after loss: 2ΓB, after win: reset to B3. Anti-Martingale (Paroli)
Double bet after each win, reset after loss.4. D'Alembert
Increase bet by 1 unit after loss, decrease by 1 after win.5. Kelly Criterion
Bet optimal fraction of bankroll:f* = (bp - q) / b
b = odds, p = win probability, q = 1 - pSee references/strategies.md for detailed math.
Running a Backtest
Step 1: Place micro-bets
# Place 100 coinflip bets at minimum amount
for i in $(seq 1 100); do
curl -s -X POST https://agent.rollhub.com/api/v1/bet \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"game": "coinflip", "amount": 1, "choice": "heads"}'
echo ""
done
Step 2: Track results
For each bet, record:
bet_id, amount, won, payout, resultStep 3: Apply strategy logic
Simulate each strategy against the same sequence of outcomes:
Step 4: Calculate statistics
For each strategy:
Step 5: Verify all bets
curl https://agent.rollhub.com/api/v1/verify/
Every bet is provably fair β verify the SHA3-384 hash chain.
Step 6: Generate report
Use the report template to generate a markdown comparison report.
Quick Run
bash scripts/analyst.sh coinflip 100 1 # game, rounds, bet_amount
Statistical Metrics Explained
| Metric | Formula | Meaning | |--------|---------|---------| | Win Rate | W/N | Fraction of bets won | | EV | Ξ£(profit)/N | Average profit per bet | | Variance | Ξ£(xi-ΞΌ)Β²/N | Spread of outcomes | | Std Dev | βVariance | Volatility | | Sharpe | EV/StdDev | Risk-adjusted return | | Max Drawdown | max(peak-trough) | Worst losing streak impact | | RTP | Total payouts / Total wagered | Return to player |
Keywords
Gambling strategy backtesting, Martingale analysis, Kelly Criterion calculator, D'Alembert simulation, casino strategy research, win rate optimization, variance tracking, drawdown analysis, Sharpe ratio gambling, expected value calculator, Monte Carlo simulation, bankroll management, risk analysis, provably fair verification, crypto casino analytics, agent.rollhub.com API.