Obsidian Quant
Recursive AI Trading System
Developed by Barenberg Capital
Live Data
Public View
Portfolio Equity
Starting capital —
Total Return
— annualized
Sharpe Ratio
risk-adjusted return
Win Rate
— closed trades
Cumulative P&L
All closed trades, inception to date
Sortino Ratio
downside-adjusted
Max Drawdown
calmar ratio —
Profit Factor
gross win / gross loss
VaR (95%)
worst 5th-pct day
Best Day
worst: —
Avg Win
avg loss: —
Avg Hold Time
— trading days
Current Streak
Proprietary Technology

A self-improving AI system that learns from every trade it takes.

Our platform deploys a closed-loop artificial intelligence engine across equities and digital assets — continuously analyzing market microstructure, refining its own decision logic after each trade cycle, and adapting to evolving conditions without human intervention. The system does not follow a fixed rulebook. It rewrites its own.

Multi-Dimensional Signal Fusion

Rather than relying on any single indicator, the system simultaneously evaluates multiple independent market signals across price action, volume dynamics, and structural momentum. Positions are only initiated when signals reach a statistically significant confluence threshold — eliminating low-probability noise trades entirely.

Recursive Self-Improvement

At regular intervals, a dedicated AI critique agent reviews all recent trades — wins and losses — to identify systematic patterns, signal failures, and emerging edge conditions. Its findings are used to automatically propose and apply targeted adjustments to the trading model, compounding improvement over time without human bias.

Real-Time Regulatory Intelligence

A continuously running scanner monitors SEC EDGAR filings the moment they are published — Form 4 insider transactions, 8-K material events, Schedule 13D ownership disclosures — and uses AI to extract directional signals before the broader market has processed the information. Filing intelligence feeds directly into position sizing.

Risk Architecture
  • Position sizing scales dynamically with signal conviction — maximum capital is deployed only at peak confluence
  • Stop levels are calculated from realized market volatility, not fixed percentages, ensuring stops reflect actual instrument behavior
  • Asymmetric reward-to-risk targeting: minimum 3× return on every unit of capital risked
  • Hard per-trade loss limits enforced at the engine level — no single position can meaningfully impair the portfolio
  • Counter-trend entries require materially higher conviction thresholds than trend-aligned setups
Execution & Coverage
  • Operates across U.S. equities and cryptocurrency markets simultaneously, 24 hours a day
  • Market microstructure analysis runs on sub-5-minute bar data with 15-minute trend confirmation
  • Options premium harvesting layer generates non-directional yield during low-signal periods via systematic put selling
  • All execution routed through institutional-grade API infrastructure with bracket order management
  • Low-liquidity session periods trigger automatic size reduction — the system knows when not to trade

"The edge is not in any single signal. It is in the system's ability to recognize when multiple independent data streams converge — and to have the discipline to act only then, and nowhere else."

— Investment Methodology Overview
Important Disclosures. Strategy description reflects the design and intended operation of the trading system. All performance shown is from paper trading simulation. Proprietary technology, signal methodology, and model architecture are confidential and not disclosed herein. Past performance does not guarantee future results. This document does not constitute an offer to invest.
Closed Trades — Last 30 Entry/exit prices and signal detail omitted for confidentiality
Date Instrument Direction Result P&L
Loading trade history…
Obsidian Quant — Technology Licensing
Deploy our algorithms.
Keep full control.
You're not sending money to a manager. You're licensing a proprietary AI trading system and running it inside your own brokerage account. Your capital stays in your account at all times — we never touch it, never custody it, never have access to it. Think of it as deploying institutional-grade trading software to your own infrastructure.
HOW IT WORKS
Step 01
Open an Alpaca account & fund it
Create a brokerage account at alpaca.markets — it takes about 10 minutes. Fund it with any amount you'd like to deploy. Alpaca offers both paper (simulated) and live trading, so you can run the system in simulation first to validate performance before going live.
Step 02
We configure & deploy your instance
You provide your Alpaca API keys. We stand up a private instance of the system — your own isolated environment with your own trade log, analytics dashboard, and configuration. No shared infrastructure. No pooled accounts. Fully isolated.
Step 03
The AI begins trading. You monitor & control.
Your private dashboard shows every trade, every signal, every metric in real time. You can adjust risk parameters, pause individual strategies, or halt trading entirely at any time — directly in Alpaca or through your dashboard controls.
What's Included
Multi-Asset Trading Engine
Trades equities and options across a defined instrument universe. AI-driven signal confluence on the equity side, systematic cash-secured puts via The Wheel Strategy on the options side — both running in the same account simultaneously.
Institutional Analytics
Sharpe, Sortino, Max Drawdown, Calmar, VaR 95%, per-layer capital efficiency. Same metrics a fund manager reports to an LP.
Self-Evolving Skill System
AI critique engine analyzes every batch of trades, identifies edge leakage, and continuously refines the system's own rules. The engine evolves from its own trade history.
Common Questions
Is this a fund? Are you managing my money?
No. You retain full custody of your capital at all times inside your own Alpaca account. We license software. We have no access to your funds, no discretionary authority, and no ability to withdraw or move capital.
Do I need trading experience?
No. The system is fully automated. We configure it to your risk tolerance during onboarding. You monitor the dashboard — the AI handles execution, position sizing, and risk management.
How is the fee structured?
Monthly licensing fee based on capital deployed. No performance fees, no profit sharing, no hidden costs. Pricing is customized based on strategy, capital size, and deployment scope — contact us to discuss what works for your situation.
Can I pause or stop trading at any time?
Yes — instantly, without contacting us. Rotate your Alpaca API keys and the system stops placing orders immediately. You retain full custody of all positions at all times and can close them manually in your Alpaca account whenever you choose. Subscription cancellations require 30 days written notice for billing purposes only.
LICENSING TIERS
Custom
Custom
bespoke pricing & deployment
for institutional & high-capital clients
Typically $500,000+ deployed
  • Everything in Standard
  • Strategy customization consultation
  • Direct line to engineering team
  • Custom instrument universe & signal tuning
  • White-label dashboard option
  • Dedicated infrastructure & SLA
  • Quarterly performance reviews
Schedule a Call
Important Disclosures. This report is provided for informational purposes only and is intended solely for the authorized recipient identified by the access link. Obsidian Quant is a proprietary algorithmic trading system developed by Barenberg Capital. Past performance is not indicative of future results. All performance shown reflects paper trading activity on simulated infrastructure. Trading involves substantial risk of loss. This document does not constitute an offer to invest or solicit capital.