
Institutional DEX Arbitrage (Polygon)
A prop desk utilized FRB local execution to capture cross-DEX spreads on Polygon. By bypassing cloud API hops, they achieved a sub-10ms logic loop, outperforming hosted competitors by 40%.
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Each card shows a representative scenario—some simulated, some anonymized real-world deployments. Treat them as blueprints for your own internal memos. Copy the structure, swap in your data, and attach supporting links from /metrics,/telemetry, and /support so executives can audit your claims.
When you publish an internal showcase, note whether data is simulated or live, who approved it, and where the raw metrics live. Transparency keeps procurement and compliance aligned.

A prop desk utilized FRB local execution to capture cross-DEX spreads on Polygon. By bypassing cloud API hops, they achieved a sub-10ms logic loop, outperforming hosted competitors by 40%.

An anonymous hedge fund deployed the FRB private bundle pipeline to backrun large swaps on Uniswap V3. Leveraging Flashbots direct routing, they eliminated the risk of being sandwiched by public bots.

High-frequency traders use FRB to monitor bonding curves on Solana. Using Jito bundles and Geyser plugins, transactions land in the same block as the target liquidity injection.

Compliance officers use FRB metrics to audit execution quality across 5+ chains. The dashboard provides cryptographic proof of every transaction submitted and the associated relay feedback.

Automated liquidators on Base integrated FRB to monitor thin liquidity lending markets. The local simulation engine saved $14k in failed transaction fees within the first month.
Borrow the structure of these cards: headline, KPI, short narrative. Include chain, strategy, guardrails, and measured impact. Link to internal dashboards so readers can dig deeper. When you publish internally, attach the case study PDF from Case Study Builder and tag the SMEs who helped.
Publish updates quarterly so marketing, sales, and compliance always have the latest stats. When appropriate, sanitize and reuse on the public site to showcase credibility.
Challenge: Backrun desk needed to prove refunds stayed under 5% while scaling Base exposure.
Approach: Used FRB Pro on Base, Ops Pulse alerts, /metrics/bnb for context.
Outcome: 78% inclusion over 72 hours, refunds 3.2%, operators logged latency benchmarks.
Safety: Refund guard set to 3/50, public PGAs locked to canary mode, runbook stored in Knowledge Base.
Are these numbers audited? Many case studies are simulated or anonymized. Always specify context and point readers to raw telemetry for verification.
Can we embed our own charts? Yes—link or embed images exported from your dashboards as long as you keep sensitive data redacted.
How often should we refresh the showcase? Aim for quarterly. Rolling updates keep your sales/ops teams aligned and give compliance up-to-date references.
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