Field Equities
Multi-Signal Quantitative Trading System
Built by Alex Field

Field Equities — Multi-Strategy Quantitative System

Six scoring strategies — each with a different theory about what moves stock prices — plus one equal-weight baseline (Pandia), one random control (Tyche), and the S&P 500 as the benchmark. All eight methods rank the same 76-stock watchlist every session, and their picks are recorded on paper, no real money. As time passes, the actual forward returns fill in: did the picks perform in 1 day? In 3 months? In a year? The strategy that consistently picks the best-performing stocks earns its weight.

Paper TradingShadow Race ActivePerformance Data Accruing
Tickers Scored
No scans yet
Strategies Racing
6+ 2 controls + SPY benchmark
MetisSector-normalized fundamentals + smart-money signals.
ArachneTopology overlay on Metis — tilts toward high-centrality names in the correlation network.
AsteriaTopology overlay on Metis — tilts toward low-centrality, isolated names in the network.
ChronosRanks on trailing 12-month return — time-series momentum (TSMOM).
PhobosRanks on CFTC commercial positioning extreme (weekly, 4 ETFs).
PandiaEvery stock equally ranked — the no-skill baseline every strategy must beat.
+ Tyche (random control) · SPY (benchmark)
Data Sources
8
Polygon · Quiver · ARK · Anthropic · Alpaca · FMP · CFTC · Yahoo
Bot Status
No heartbeat (last seen: never)
Next Scan: not scheduled
Activity — no scans yet
Scans
0
Tickers
0
Entries
0
Exits
0
$100k Shadow Race — Hypothetical

What $100k equally spread across each scorer’s top picks would have returned, using recorded forward returns. Shadow scorers only — not real trades or live P&L.

Shadow · Hypothetical
Data accruing — 0 scan-days recorded

1d forward returns fill daily after market close. Equity curves will appear as data accumulates.

Strategies
Click a name to read how it works
Metis — Accruing (no fills yet)
Arachne — Accruing (no fills yet)
Asteria — Accruing (no fills yet)
Chronos — Accruing (no fills yet)
Phobos — Accruing (no fills yet)
Pandia — Accruing (no fills yet)
Tyche — Accruing (no fills yet)
SPY — Accruing (no fills yet)

How each strategy scores a stock

Inputs and weights for each scoring method. Click a strategy name to read the full rationale in Methodology.

MetisWeights uncalibrated

Four input layers combined into a 0–100 score per stock. All weights are placeholder — pending calibration on clean forward data.

InputMax pts
Sourcing (40% — Smart-money signals)
Congress trades12.0
Insider buys10.0
13F institutional flow10.0
ARK fund trades8.0
Factor (30% — Academic price factors)
Price momentum (12m–1m)10.5
Post-earnings drift9.0
52-week high proximity6.0
Quality (ROIC/ROE/margins)4.5
Fundamentals (20% — Sector-relative valuation/health/growth)
Valuation (P/E, P/B, EV/EBITDA)6.8
Financial health6.6
Revenue + EPS growth6.6
Qualitative (10% — AI theme overlay)
AI theme membership10.0

Arachne and Asteriause the same inputs, then nudge the final ranking by up to ±5 positions based on each stock’s eigenvector centrality in the trailing correlation network. Metis dominates; topology is a bounded overlay.

Single input — trailing 12-month return

Each stock is ranked by its own trailing 252-day total return, highest to lowest. No multi-input weighting. Adjudicated against 21d–5y horizons where this signal is most relevant.

Single input — CFTC commercial positioning percentile

Ranks instruments by where commercial (hedger) net positions sit in their own 3-year history. Covers 4 ETFs only: SPY, QQQ, IWM, GLD. Runs weekly (Fridays). Insufficient-history instruments are skipped.

No input — every stock equal

Every name in the watchlist gets identical rank. The primary race control: any strategy that cannot beat Pandia has no per-name ranking edge.

No input — random order (seeded)

Universe shuffled by a deterministic seed each scan. The secondary control and the statistical noise floor.