Track Record

Backtested system performance + live trading results

๐Ÿ“Š Backtest Scoreboard
12-month results vs buy & hold
AssetGainsWinsvs B&H
SOL+80.9%15/24+68.9%
ETH+71.8%16/24+78.8%
BTC+52.9%8/17+77.9%
3/3 beat buy & hold ยท 65 total trades ยท +75.2% avg alpha vs buy & hold
+68.5%
Avg Return (3 assets)
+80.9%
Best (SOL)
0.33
Avg Sharpe Ratio
65
Verified Trades
Trend Following System

Dual re-entry slope system (breakout + MA cross). Tuned per asset for volatility.

1H

Feb 2025 โ€“ Mar 2026

BTC+52.9%
Net: $529K
Trades: 17
Long: +3.8%
Short: +49.2%
Win Rate: 47%
Sharpe: 0.34
ETH+71.8%
Net: $718K
Trades: 24
Long: +41.9%
Short: +30.0%
Win Rate: 67%
Sharpe: 0.28
SOL+80.9%
Net: $809K
Trades: 24
Long: -6.8%
Short: +87.7%
Win Rate: 63%
Sharpe: 0.37

Based on $1M position sizing per trade. All systems are derivatives of the slope system, tuned per asset for volatility. Past performance does not guarantee future results.

Live Trading Performance

Track Record
Performance metrics from closed positions

Track Record / Win Rate

The BRRR Track Record provides comprehensive performance analysis including backtested results and live trading statistics across our systematic approach. Our 12-month backtesting analysis demonstrates consistent alpha generation versus buy-and-hold strategies across Bitcoin, Ethereum, and Solana with average outperformance of +75.2% versus passive holding. The system tracks key performance metrics including win rates, profit factors, maximum drawdowns, and risk-adjusted returns using historical data from CoinGecko and real-time execution tracking. Live trading performance displays current open positions, completed trades, and cumulative returns with full transparency into our decision-making process and risk management framework. Advanced analytics include Sharpe ratio calculations, correlation analysis between assets, and sector-specific performance breakdowns showing how our Smart Money signals translate into actionable trading results. This comprehensive track record demonstrates the effectiveness of our macro-driven, technically-informed systematic approach across various market conditions and volatility regimes.