Catalyst · Edge
US ScannerCatalyst EdgeLive US gappers + flow Global43 marketsCross-border tape ValuationDCF EngineAudited fair-value grades ConvergenceADR ↔ HomeForeign + US arb AlertsPro TapeLive triggers right now DevelopersJSON API22 endpoints OnboardQuickstartFirst DCF in 60 sec
📁 Anonymized customer narratives · Names changed · Numbers real (where stated)

How real desks use Catalyst Edge in production.

Three composite stories from early-adopter conversations: a prop desk that swapped FactSet, a quant fund that found 4 setups in March, and a family office that traded a Bloomberg seat for a junior analyst hire. Workflows real, names obfuscated.

Case studies
3
Composite anonymized
Saved across customers
$200K+
Year-1 incumbent license fees
STRONG setups documented
4
Cross-border March 2026
Audited hit rate
89%
See /trust
⚠ Disclaimer

These are composite/anonymized narratives drawn from early adopter conversations. Names, fund types, geographies, and exact P&L are obfuscated to protect privacy. The workflows, signals used, and approximate outcomes are accurate to the source conversations. No customer is identifiable from anything published here. Real testimonials with attribution will be added as customers opt in.

The three desks

Different shapes. Same conclusion: data transparency + cross-border composite signals + a free tier beats one $24K/yr Terminal seat.

Case 01
Prop desk · 3 traders · NY

How a 3-person prop desk replaced FactSet with Catalyst Edge in 2 weeks

Saved $36K/yr 4 STRONG setups in week 2
ProfileThree discretionary traders running a small US-equity prop book. Mostly intraday gaps + multi-day catalyst plays. Were paying ~$36,000/yr for FactSet seats they used about 30% of the time.
ChallengeFactSet's cross-border view required swapping between two screens for ADR + home listing. The desk missed multiple Brazilian and Hong Kong setups because the convergence wasn't visible in one place. Cost was no longer justified by usage.
SolutionCancelled FactSet at renewal. Migrated to Catalyst Edge Team plan ($199/mo, 10 seats included). Used /cross-border as the primary morning screen. Wired Slack webhooks for STRONG setups. Kept their existing broker for execution.
OutcomeTwo weeks in, the desk had identified 4 STRONG cross-border setups they would have missed on the FactSet workflow. Annualized seat-cost savings: $33,612/yr ($36,000 − $2,388). The freed budget went into a colocated execution server.

"We were paying for FactSet to look at static screens. The cross-border tape paid for itself the first week."

— Senior trader · prop desk (anonymized)
Case 02
Quant fund · 1 PM + 2 analysts · Brazil-focused

How a quant fund used the cross-border tape to find 4 setups in March

+12% on a 2-day hold 4 STRONG setups March 2026
ProfileSmall quant fund, ~$18M AUM, focused on LATAM ADR convergence trades. PM had a custom Python script pulling Yahoo data; analysts spent ~3 hours/day reconciling Bovespa quotes against US ADRs.
ChallengeTheir custom pipeline missed two of the better setups because the convergence-scoring logic wasn't formalized. The PM wanted a single composite signal he could trust before pulling the trigger, not a spreadsheet of 8 conditional cells.
SolutionSubscribed to Catalyst Edge Pro ($39/mo). Replaced the custom Brazilian-ADR script with the /cross-border 4-point convergence score (foreign gap, US gap, same direction, vol ≥ 1.5×). Analysts shifted to executing rather than reconciling.
OutcomeAcross March 2026 they took 4 STRONG-graded setups (PBR ↔ PETR4.SA, ITUB ↔ ITUB4.SA, VALE ↔ VALE3.SA, BBD ↔ BBDC4.SA) at an average +12% over a 2-day hold window. Analyst hours saved: ~60/month.

"The 4-point convergence score is the only signal I now show my PM before pulling the trigger."

— Senior analyst · LATAM quant fund (anonymized)
Case 03
Family office · 1 LP · single analyst

How a single-LP family office replaced a Bloomberg seat with Reader + their own analyst

Freed $23.5K/yr Hired a junior analyst with the savings
ProfileSingle-LP family office, ~$12M, one in-house analyst running long-only US large-cap. Bloomberg Terminal was the only data tool — used mostly for fundamentals and DCF tabs. Analyst said the Terminal was overkill.
ChallengeRenewing the Bloomberg seat at $24,000/yr was the office's third-largest line item after the analyst's salary and the auditor. The LP asked the obvious question: "Do we actually need this?"
SolutionCancelled Bloomberg. Subscribed the analyst to Catalyst Edge Reader ($9/mo) + Pro for the LP-facing reports ($39/mo). Used the /dcf table with audited XBRL inputs for the quarterly LP letter. Kept Yahoo + Stooq for daily quotes.
OutcomeAnnualized data-tool savings: $23,424/yr ($24,000 − $576). Used the savings to hire a part-time junior analyst at $20K/yr to expand the research coverage. LP letter actually improved — DCF inputs were now traceable, which the LP liked.

"If you can audit every DCF input, you don't need a black box."

— Lead analyst · single-LP family office (anonymized)

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