Systematic Trader · AI Systems Builder

Engineering transparent, versioned trading systems with circuit breakers, regime logic, and psychological integrity.

📍 Thessaloniki, Greece · X @srdevb

• 📈 Versioned Bitcoin execution systems (v1.2.1f → scaling ladders with circuit breakers).
• 🧠 LLM-driven diagnostics for MAE/MFE integrity, expectancy, and emotional overrides.
• 🧪 Stability under pressure: controlled exposure, freeze windows, post-trade review protocols.
• 🔧 Clean research-to-production flow: notebooks → Linux scripts → tmux pipelines → watchdogs.

A disciplined BTC execution engine featuring:

• RSI signal with 1-bar confirmation
• Regime detection (ATR% + Trend Slope)
• Three pre-entry rejection filters for weak/uncertain regimes
• Live MAE/MFE watchdog
• Circuit breakers calibrated to emotional capacity
• Structured scaling protocol (Step 1 → Step 2 → monitored checkpoints)

All changes occur only at predefined checkpoints. No mid-cycle optimization.

Python pandas NumPy PyTorch
scikit-learn Jupyter
TradingView Pine Script Coinbase Perps
Linux Docker tmux
VS Code Cursor

• 🛡️ Risk first: position sizing, SL/TP asymmetry, circuit breakers.
• ❄️ Frozen rules: modify only at checkpoints with sufficient data.
• 📏 Track edge: expectancy, MAE/MFE, regime shifts, volatility context.
• 🧠 Build simple systems you fully understand before scaling complexity.
• 🔬 Treat losses as data, not identity.

• 🤖 LLM-assisted journaling, diagnostics, and signal triage.
• 📡 Automated post-trade evaluation with regime tagging and edge tracking.
• 🧩 Meta-system design: versioning, freeze windows, scaling ladders.
• 🔒 Reinforcing psychological stability under increased margin conditions.

Where disciplined execution meets emotional resilience.
_{If you want to build something measurable and real, reach out.}