A1
Alab1
Intelligent Investment
Systematic Risk-first Institutional reporting Automation-native

Alab1 Intelligent Investment Disciplined compounding with systematic controls.

A professional, hedge-fund style process built on quantitative signals, options- & futures-aware risk, and automated execution—designed to pursue consistent returns while controlling drawdowns.

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Objective
Risk-managed compounding
Designed for repeatability & drawdown control
Universe
Liquid markets
Spot • Futures • Options
Operations
Logged & auditable
Orders, exposures, incidents, reporting
Informational only. Not an offer, solicitation, or investment advice.
Investor Snapshot
Due diligence ready
Risk budgeting
Position sizing, exposure caps, scenario checks before entry.
Volatility-aware
Adapts to realized vol, implied vol, liquidity & regime shifts.
Controls & audit trail
Monitoring dashboards, incident logs, kill-switch, reconciliation.
Performance disclosure
Show only verified results (audited or broker statements). If not verified, label as “Illustrative/Target”.
Next: add a downloadable PDF deck and a one-page risk policy summary.
Strategy Stack
Built on discipline: systematic entries, risk gates, and execution automation.
Return Engines
  • • Carry / basis dislocations (spot ↔ futures)
  • • Volatility risk premium (defined-risk structures)
  • • Mean reversion in high-liquidity windows
  • • Regime overlay (trend filter & de-risk rules)
Portfolio Construction
  • • Multi-sleeve allocation with risk caps
  • • Delta / vega / gamma bounds
  • • Liquidity & slippage-aware sizing
  • • Rule exits + exception handling
Execution & Ops
  • • Automated monitoring (NAV, exposures, greeks)
  • • Full order lifecycle logging
  • • Cross-venue reconciliation
  • • Human-in-the-loop approval gates
Decision pipeline
Signals → risk checks → liquidity checks → execution → monitoring → post-trade review.
Risk Framework
Institutional discipline: limits, stress tests, and kill-switch controls.
Core Limits
Max drawdown guard
De-risk when threshold is hit
Exposure caps
Delta, leverage & concentration bounds
Options risk bounds
Gamma/vega limits; avoid convex surprises
Liquidity floor
Trade only where exits are credible
Tail Risk Practices
  • • Defined-risk structures for premium strategies
  • • Event-risk calendar to reduce exposure before shocks
  • • Stress tests: gaps, vol expansion, liquidity shock
  • • Automated kill-switch + manual override
Kill-switch
Auto de-risking if volatility, drawdown, or execution quality deteriorates.
Operational controls
Incident logs, reconciliation, and clear approvals.
Transparency
Monthly reporting: returns, exposures, drawdown, and attribution.
Edge
Execution discipline + automation + risk controls = durable process.
What makes Alab1 different
Not “magic signals”—we win by combining modest edges with strong risk budgeting, automation, and verifiable operations.
Automation infrastructure (dashboards, logs, controls)
Greeks-aware trading decisions (theta/gamma/vega)
Multi-venue execution literacy (spreads, funding, microstructure)
Risk-first rules: exposure caps, hedges, kill-switch
Investor benefits
  • • Clear mandate & repeatable playbook
  • • Monthly reporting with attribution & exposure
  • • Operational transparency (audit trail)
  • • Capacity-aware scaling
Performance
Numbers that investors care about: return + drawdown + consistency.
Default shown as: Illustrative / Target until verified.
Summary metrics (Illustrative / Target)
Annualized return (net target)
18–22%
Ambitious but believable for a high-risk market
Max drawdown target
≤ 10–12%
Key investor hook: return with controlled pain
Winning months
70–75%
Consistency matters more than one big year
Sharpe (net target)
1.3–1.6
Respectable for a multi-instrument strategy
Worst month (target)
-4% to -6%
Shows downside realism
Volatility (target)
10–14%
Lower vol helps professional allocators
How to present this safely: If these are not verified live results, label clearly as Target or Illustrative / Model. When you have broker statements, switch the label to Verified Live and add methodology notes.
What investors want to see next
  • • Monthly returns table (24–36 months)
  • • Drawdown chart (peak-to-trough)
  • • Exposure reporting (delta/vega, gross/net)
  • • Attribution by strategy sleeve
  • • Venue & custody plan (risk mitigation)
Fees (placeholder)
Example: 2% management / 20% performance, with high-water mark.
Replace with your actual fee structure and legal terms.
FAQ
Short, professional answers for allocators.
What do you trade?
Liquid spot, futures, and options with strict liquidity and risk controls.
How do you manage downside?
Exposure caps, hedges, stress testing, and kill-switch de-risk rules.
Is it automated?
Monitoring and execution are automated with human oversight for exceptions.
How do you report?
Monthly investor letter + performance, exposure, and drawdown reporting.
Contact Investor Relations
Request deck + due diligence call.
Deck request
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Direct
Email: ir@alab1.ai
Phone: +66 (add your number)
Suggested next steps
  1. Deck review + Q&A
  2. Risk & ops deep dive
  3. Structure + custody discussion
  4. Pilot allocation + monthly reporting
Disclaimer
Informational only. Not investment advice. Investing involves risk, including loss of principal.