What is the Catalyst Edge convergence score for FMC?

As of 2026-11-09, FMC has a convergence score of -6 with conviction tier WATCH and 8 independent signals firing. Score is a weighted aggregate across SEC filings, insider activity, options flow, dark-pool prints, short-squeeze metrics, and macro regime.

How is FMC's score calculated?

Each signal contributes weighted points; weights are auto-tuned weekly against published outcome history. Full methodology + audit at https://catalystedgescanner.com/methodology/ and https://catalystedgescanner.com/trust/.

How accurate has Catalyst Edge been on FMC?

On the last 7 published picks featuring FMC, 7 hit the +2% intraday threshold (100% hit rate). Outcomes audited daily.

Catalyst Edge · Scanner · Tickers · FMC

CATALYST DOSSIER · UPDATED 2026-11-09

$FMC

materials · convergence -6 · conviction WATCH

Convergence Score

-6

Conviction

WATCH

Signals Firing

Track Record

7/7

Quick tools:🃏 Swipe deck 🎯 Today verdict

Price & Live Quote

Loading live quote & chart…

Practice trade tools

Build a reference frame, save a practice trade, or preview a draft. No brokerage order is placed.

Paper trade unavailable: missing risk-bounded frame

Reference only. Not financial advice. No brokerage order is placed.

Why $FMC?

FMC -6 WATCH materials

Quantitative

Net Income (CY2026Q2): $-186.6M (-379.8% YoY)

Catalysts

Multi-spoke convergence: 8 convergent signals fired: finra_short, auto_macro_adp_payrolls, auto_macro_banrep_colombia, auto_macro_bls_employment, auto_macro_durable_goods

Risks

Position-sizing discipline: Conviction WATCH (-6 score) — size accordingly; no specific catalyst-fade risk flagged

Bear case

Squeeze unwind: Short interest can compress before retail catches the move — entry timing critical

Sympathy basket (cerebro)

VST via utilities r=+0.97 sympathetic (score 22)
NRG via utilities r=+0.97 sympathetic (score 17)
ACRE via financials r=+0.97 sympathetic (score 27)
NTST via financials r=+0.97 sympathetic (score 25)
MOD via consumer r=+0.97 sympathetic (score 23)
VSA via consumer r=+0.97 sympathetic (score 19)

Signals Firing

finra_shortauto_macro_adp_payrollsauto_macro_banrep_colombiaauto_macro_bls_employmentauto_macro_durable_goodsauto_macro_fx_ratesauto_macro_options_gexauto_macro_yield_curve

Each tag is a spoke that flagged this ticker today. Weights tuned weekly against published outcomes.

Pick Track Record

Date	List	Next-day max run	Next-day close	Hit +2%?
2026-10-30	sec_top_gappers	+7.1%	+4.8%	✓ hit
2026-10-30	sec_top_moat_emerging	+7.1%	+4.8%	✓ hit
2026-10-21	sec_top_gappers	+2.4%	-0.2%	✓ hit
2026-10-21	sec_top_moat_emerging	+2.4%	-0.2%	✓ hit
2026-09-23	sec_clean_gappers	+2.1%	-3.1%	✓ hit
2026-09-23	sec_top_gappers	+2.1%	-3.1%	✓ hit
2026-09-23	sec_top_moat_emerging	+2.1%	-3.1%	✓ hit

Lifetime: 7/7 wins · hit-rate 100.0% on +2% intraday

Sympathy Basket

VSTvia utilities · score 22
NRGvia utilities · score 17
ACREvia financials · score 27
NTSTvia financials · score 25
MODvia consumer · score 23
VSAvia consumer · score 19

Tickers Catalyst Edge tracks as moving with this name. Cross-correlation derived from sector + score-cohort proximity.

Earnings Catalyst

No recent earnings event.

Auto-generated from public filings + tier-1 wires. Catalyst Edge publishes its picks and its losses — see the trust report and methodology. Not financial advice. Confirm independently before trading.

You came here for FMC. You found it after it moved, the same way everyone else did.

$99 once — every ticker on this site ranked before the open.

Review the methodology and limitations and the dated audit. An intraday price touch is not trading profit.

Click Become a Founding Member below.
Pay $99 once — not monthly, not ever again.
You keep every future release at that price. Tomorrow's ranked list lands at 3:30 AM ET, before the open.

Become a Founding Member — $99 once

One payment, access for as long as we run the service. The free daily picks stay free — this is for people who want the full console. Not buying today? Get tomorrow's ranked list free →

Optional product-learning preferences