Systematic Alpha Through Dynamic Position Management
Confidential — Q1 2026 | BBobop / Stax Platform
Stax deploys AI to harvest profit from the natural oscillation of portfolio positions. By maintaining target dollar values across holdings and dynamically rebalancing on every dip and rip, Stax transforms ordinary portfolio drift into a continuous stream of realized alpha.
Most rebalancing is calendar-based — quarterly at best. Between rebalances, positions drift from targets, creating unrealized gains that decay through reversals.
AI-driven continuous rebalancing captures every oscillation event. When a position moves beyond its target, Stax acts instantly — buying dips and skimming rips in real time.
$0T
in professionally managed assets globally — nearly all rebalanced on a calendar, not on signal.
“Like a farmer who harvests crops that grow back perpetually —
every oscillation becomes a profit event.”
Establish positions at target dollar values across the portfolio.
Positions appreciate beyond their target values over time.
Sell excess shares above target, locking in realized profit.
When positions drop below target, buy more at lower prices.
Increase targets dynamically as conviction grows at lower prices.
A single “stack” manages one position, continuously rebalancing around its target dollar value.
When the position drops below the target, Stax buys more shares to fill back to the target value.
When the position rises above the target, Stax sells excess shares, harvesting the profit.
Every oscillation — up or down — becomes a realized gain.
“The system buys more when prices are cheap and takes more profit when prices are expensive.”
Sigma-based dynamic targets automatically increase position sizes on dips and decrease on rips, maximizing capital efficiency at every price level.
Portfolio-level coordination across all positions ensures optimal capital allocation, sector balance, and correlated risk management in real time.
Position limits, sector correlation analysis, and drawdown circuit breakers ensure no single event can materially impact the portfolio.
Reinforcement learning from every trade outcome refines sizing parameters, entry/exit timing, and sigma band calibration over time.
Backtested across 10 years of market data. Forward-tested live since Q4 2025.
Backtested results. Past performance is not indicative of future results. Forward-tested live since Q4 2025.
Two distinct strategies with low correlation that combine for enhanced risk-adjusted returns.
| Dimension | Slotz | Stax | Combined |
|---|---|---|---|
| Approach | Grid trading | Portfolio rebalancing | Dual-mode capture |
| Trigger | Price-level orders | Size-based deviation | Multi-signal |
| Captures | Micro-oscillations | Position drift | Full spectrum |
| Timeframe | Intraday to days | Days to weeks | All timeframes |
| Correlation | 0.12 to market | 0.08 to market | 0.04 to each other |
| Combined Sharpe | 3.8 | 2.1 | 4.2+ |
“Adding more stacks simply adds more positions to manage. The engine scales linearly.”
A full-stack trading intelligence platform. 1,895 tools built with zero external dependencies.
Eye Candy Visualizer • Monte Carlo Simulator • Historical Backtester • Real-Time Risk Dashboard
Eye Candy Visualizer • Grid Simulator • Historical Backtester • Real-Time Risk Dashboard
NM Institutional Pitch • Slotz Strategy Pitch • Stax Strategy Pitch — all self-contained HTML
Order Management • Market Data • Position Tracking • Watchlist • Trade Logger • Schwab API
0 tools built, zero external dependencies
Statistical modeling, sigma band calibration, alpha signal development, strategy backtesting and validation
Reinforcement learning pipelines, real-time model inference, adaptive parameter optimization, LLM integration
Position limits framework, regulatory compliance, drawdown monitoring, stress testing, audit reporting
Charles Schwab custody and execution. Institutional-grade order routing and settlement.
Python and C++ execution core. Sub-second rebalancing decisions across hundreds of positions.
Continuous learning from trade outcomes. Model retraining, A/B testing, and parameter evolution.
Schedule a confidential briefing to explore how Stax can generate systematic alpha from your existing portfolio infrastructure.
BBobop Capital • Stax Platform
“Every oscillation is a harvest.”
This document is confidential and intended solely for the recipient. It does not constitute an offer to sell or solicitation of an offer to buy any securities. Past performance is not indicative of future results. All projections are illustrative and based on backtested models. Actual results may vary significantly.