QuantBot is an alpha operating layer: it ranks candidates, applies deterministic portfolio constraints, produces execution targets, and generates board/IC-ready artifacts (JSON→HTML memos) — without over-claiming or exposing proprietary research.
Built for hedge funds, family offices, and PE teams evaluating systematic overlays. For informational purposes only — not investment advice.
Signal generation alone isn’t the product. The product is the workflow that turns model outputs into disciplined decisions, then documents those decisions in a repeatable format teams can audit.
Ranked candidates with confidence and execution scoring. Built for fast filtering, notes, and export into the portfolio workflow.
Deterministic rails: gross/net caps, max-name %, liquidity checks, ADV sizing rails, and concentration metrics (HHI).
Structured JSON → HTML memos: breadth, dispersion, concentration, execution plan, and risk, including “what changed since yesterday.”
Production-style views — rendered as crisp, public-safe mocks for clarity (no client data, no performance claims).
| SYMBOL | NAME | SECTOR | DECISION | ALPHA | CONF | ADV($M) |
|---|---|---|---|---|---|---|
| NVDA | Meta Neural | Technology | LONG | +2.8% | 0.81 | 320 |
| META | Social Platforms | Technology | LONG | +2.1% | 0.77 | 160 |
| JPM | Global Bank | Financials | LONG | +1.4% | 0.72 | 95 |
| TSLA | Auto Tech | Consumer | SHORT | -1.7% | 0.73 | 210 |
| PFE | Pharma | Healthcare | SHORT | -1.1% | 0.69 | 48 |
Public-safe memo mock • mirrors production structure • no client identifiers.
| FEATURE | DIR | IMPACT | NOTES |
|---|---|---|---|
| ret_20d | + | +0.42 | momentum sleeve |
| vol_7d | − | −0.21 | risk dampener |
| adv_usd | + | +0.17 | liquidity support |
| swap_exposure | − | −0.12 | positioning crowding proxy |
| sector_beta | − | −0.09 | tail monitor |
Institutional-but-accessible: $7.5k (entry triage), $18k (core governance + memos), $40k+ (backtest + workflow + controls). Annual discounts available.