Published on Tue Sep 30 2025 00:00:00 GMT+0000 (Coordinated Universal Time) by Orkid Labs

The $97 Opportunity Nobody Took

Last night on Polygon, a LINK/USDC arbitrage sat wide open for 100 minutes straight. Peak profit: $97.44 net, after flash-swap fees and gas. No bot touched it. No arbitrageur stepped in. The spread just sat there—visible, profitable, completely ignored.

This isn’t theory. It’s production telemetry from ORKID’s detector, captured block-by-block with sub-5ms decision latency. And it proves something we’ve been saying for months: Layer-2 DEX markets leak value in slow motion. These aren’t the microsecond races you read about on Ethereum mainnet. These are structural inefficiencies that persist for minutes or hours, quietly taxing every trader who crosses the spread.

Here’s what happened, why traditional MEV infrastructure missed it, and how we’re fixing it.

What is Edge-Persistence?

The MEV literature will tell you arbitrage opportunities are fleeting—here for a block, gone the next. High-frequency bots compete in nanosecond races. This holds on Ethereum mainnet, where gas costs are brutal and competition is a bloodbath. Conventional wisdom says any profitable spread gets crushed instantly by firms with co-located infrastructure and validator back-channels.

That’s mainnet. Layer-2 is different. Polygon, Arbitrum, Optimism—the economics flip. And nobody’s talking about it.

Gas costs on Polygon: $0.003 per transaction. On mainnet, that same arb costs $50-$100. The threshold for profitable arbitrage drops from hundreds of dollars to single digits. Suddenly, spreads that mainnet whales ignore become economically viable.

Block times: Polygon produces blocks every ~2 seconds versus Ethereum’s 12. Higher frequency means more state changes, more arbitrage windows. But here’s the paradox—faster blocks don’t mean faster arbitrage closure. Opportunities persist across dozens of blocks because nobody’s watching.

Liquidity fragmentation: Mainnet concentrates liquidity in Uniswap and Curve. Layer-2 spreads it across Uniswap V3, QuickSwap, SushiSwap, Balancer, and a dozen others. Each venue has its own pools, its own pricing. Prices diverge constantly. Cross-venue arbs appear every few blocks.

Bot competition: Near zero. The mainnet MEV whales—the firms pulling $10k+ per opportunity—don’t bother with Layer-2. The opportunities are too small. They’re focused on mainnet where the real money is. Layer-2 is a ghost town by comparison.

Put it together: negligible gas, fragmented liquidity, zero competition. You get edge-persistence. Arbitrage spreads that would close in milliseconds on mainnet sit open for minutes or hours on Layer-2. We see it constantly in mid-cap tokens (LINK, MATIC, AAVE), cross-venue opportunities (Uniswap V3 ↔ QuickSwap V3), and moderate sizes ($10k-$50k)—too small for whales, too complex for retail.

These aren’t the “smoke rings” from our last article that vanish in seconds. These are structural inefficiencies. They leak value continuously, block after block, until someone closes them. The question: why do they persist so long? And what do we do about it?

The Data Set: LINK/USDC Lifecycle (Sept 29, 2025)

ORKID’s Financial Molecular Dynamics (FMD) detector captured a complete arbitrage lifecycle on Polygon that provides unprecedented insight into the phenomenon of edge-persistence. The observation window spanned from 20:08 UTC to 21:48 UTC on September 29, 2025, covering a total duration of 1 hour and 40 minutes. During this period, the detector identified a persistent cross-venue arbitrage opportunity between Uniswap V3 and QuickSwap V3 for the LINK/USDC trading pair.

The active spread—the period during which the arbitrage opportunity remained economically viable—lasted for 1 hour and 25 minutes, from the initial detection at 20:08 UTC until the spread finally collapsed to sub-economic levels at 21:33 UTC. The peak net profit, observed at 21:22 UTC, reached $97.44 USDC after accounting for both flash loan fees and gas costs. This represents the maximum value that could have been extracted by an arbitrageur executing the trade at that precise moment.

The route for this arbitrage was straightforward: buy LINK on Uniswap V3 where the price was temporarily depressed, then immediately sell the same LINK on QuickSwap V3 where the price remained elevated. The detector’s latency performance during this observation period was exceptional, with the core decision loop completing in under 5 milliseconds at the 95th percentile and the full API response time staying below 60 milliseconds at the 95th percentile.

Telemetry Source

All data presented in this analysis was captured via ORKID’s real-time Financial Molecular Dynamics detector with comprehensive metadata for each detected opportunity. The telemetry system records timestamps with block-level precision, ensuring that we can reconstruct the exact sequence of events as they unfolded on the blockchain. Each opportunity record includes the estimated net profit after accounting for both gas costs and flash loan fees, providing a realistic picture of the actual economic value available to an arbitrageur.

The routing information captured in our telemetry shows the specific path taken for each arbitrage. Risk flags are automatically assigned by the detector’s analysis engine, identifying conditions such as thin liquidity that might make execution challenging, widening spreads that indicate growing market inefficiency, plateau periods where the spread stabilizes at a high level, and other market microstructure signals that inform execution decisions.

All telemetry is tagged with the blockchain identifier and includes sanitized identifiers that allow us to track opportunities while preserving operational security. The data freshness indicator confirms that all measurements represent real-time detection, meaning the detector was observing live blockchain state rather than historical data.

From a performance perspective, ORKID’s detector operates with exceptional speed. The core decision loop—the critical path from observing pool state to determining whether an arbitrage opportunity exists—completes with sub-millisecond latency, as measured by production infrastructure. The full API response time, which includes network overhead and data serialization, is optimized for real-time detection. These fast latencies are critical for MEV detection, as they ensure that opportunities are identified and evaluated before market conditions change.

Life-Cycle Chart: The Anatomy of a Persistent Edge

The chart above visualizes the complete lifecycle of this persistent arbitrage opportunity, plotting the estimated net profit in USDC against time. The visualization reveals a classic multi-phase arbitrage lifecycle that demonstrates the phenomenon of edge-persistence in remarkable detail. Rather than a simple spike-and-collapse pattern that we might expect in an efficient market, this opportunity evolved through seven distinct phases over the course of 1 hour and 40 minutes, with the spread widening, narrowing, and stabilizing in ways that would be impossible on a more competitive trading venue.

Phase 1: Opening Spike (20:08 UTC)

The lifecycle began at 20:08 UTC with a dramatic opening spike showing an estimated net profit of $82.38 after accounting for gas costs and flash loan fees. At this initial moment, the detector assigned no risk flags, indicating that liquidity conditions were normal and the opportunity appeared straightforward to execute. The most likely cause of this sudden price discrepancy was a large LINK sell order on Uniswap V3 that temporarily depressed the price on that venue while QuickSwap V3’s price remained elevated.

What makes this opening spike particularly interesting is not just its magnitude, but the fact that it persisted at all. On Ethereum mainnet, an $82 arbitrage opportunity would be captured within a single block by one of the many sophisticated MEV bots constantly scanning the mempool. However, this opportunity sat untouched for 18 minutes. The reason for this persistence lies in the economics of Layer-2 MEV extraction: the opportunity was too small to attract the attention of mainnet whales who focus on opportunities worth thousands of dollars, yet too large and too technically complex for retail traders running simple arbitrage scripts.

Phase 2: Thinning (20:26 UTC)

Eighteen minutes after the initial spike, at 20:26 UTC, the spread had narrowed dramatically to just $1.91 in estimated net profit. The detector flagged this phase with a “thin” risk indicator, suggesting that liquidity conditions had deteriorated, making execution more challenging. This thinning could have resulted from either a partial arbitrage by another trader who captured some but not all of the available profit, or from natural market rebalancing as traders on both venues adjusted their positions in response to the price discrepancy.

The thin liquidity flag is particularly significant because it indicates that while a small profit opportunity still existed, attempting to execute a large arbitrage at this point would likely result in significant slippage that could erode or eliminate the profit. This phase demonstrates how arbitrage opportunities don’t simply disappear—they can degrade gradually as market conditions evolve.

Phase 3: Reopening & Widening (20:34 → 20:57 UTC)

Rather than continuing to narrow toward zero, the spread began to widen again starting at 20:34 UTC. Over the next 23 minutes, the estimated profit grew from $23.64 to $40.60 and finally to $84.48—nearly returning to the opening spike level. The detector assigned “reopen” and “widening” risk flags during this phase, indicating that the market inefficiency was not only persisting but actually growing larger over time.

This widening phase is perhaps the most striking evidence of edge-persistence. In an efficient market, arbitrageurs would prevent spreads from widening by immediately trading against any price discrepancy. The fact that this spread grew for 23 consecutive minutes suggests that additional LINK trading flow was hitting one venue but not the other, continuously pushing the prices further apart without any arbitrageur stepping in to close the gap. This is classic edge-persistence: a structural market inefficiency that compounds over time rather than self-correcting.

Phase 4: Plateau (21:08 UTC)

At 21:08 UTC, the spread entered a plateau phase where the estimated profit remained stable at $84.48 for approximately 11 minutes. The detector assigned a “plateau” risk flag to indicate this period of stability. During a plateau, the price discrepancy between the two venues has reached an equilibrium where trading flow on both sides is balanced, preventing the spread from either widening further or narrowing significantly.

From an opportunity cost perspective, this plateau phase is particularly costly. For 11 consecutive minutes, nearly $85 in profit sat on the table, available to anyone with the technical capability to execute the arbitrage. Multiplying the profit by the duration gives us a rough sense of the cumulative opportunity cost: $85 times 11 minutes equals approximately $935 in potential value that could have been captured if the spread had been closed immediately rather than allowed to persist.

Phase 5: Narrowing (21:17 UTC)

At 21:17 UTC, natural market forces finally began to close the spread. The estimated profit declined to $58.97, and the detector assigned a “narrowing” risk flag to indicate that the arbitrage opportunity was beginning to deteriorate. This narrowing could have resulted from several factors: arbitrage activity by other traders, natural rebalancing of liquidity pools as traders adjusted their positions, or simply a reduction in the trading flow that had been driving the prices apart.

The narrowing phase demonstrates that even persistent arbitrage opportunities eventually self-correct, though the time scale for this correction on Layer-2 networks can be dramatically longer than on more efficient markets. The fact that it took over an hour for market forces to begin closing this spread highlights the structural inefficiencies present in Layer-2 DEX markets.

Phase 6: Peak (21:22 UTC)

Just five minutes after the narrowing phase began, the spread suddenly spiked to its highest level of the entire lifecycle: $97.44 in estimated net profit. The detector assigned a “peak” risk flag to indicate that this represented the maximum value of the opportunity. This final spike before collapse was likely caused by a last large trade that temporarily pushed the prices even further apart, creating one final window of maximum profitability.

The peak phase is particularly interesting from a trading psychology perspective. An arbitrageur monitoring this opportunity would have seen the spread narrow to $59, potentially concluding that the opportunity was closing and deciding not to execute. Five minutes later, that same arbitrageur would have missed the peak profit of $97—a reminder that persistent arbitrage opportunities can exhibit volatile behavior even as they approach their end.

Phase 7: Tail & Collapse (21:33 → 21:48 UTC)

Finally, at 21:33 UTC, the spread collapsed to just $2.81 in estimated net profit and remained at that sub-economic level through the end of the observation window at 21:48 UTC. The detector assigned “tail” risk flags to both of these final observations, indicating that the opportunity had degraded to the point where it was no longer worth executing after accounting for execution risk and potential slippage.

The total duration from the opening spike to the final tail was 1 hour and 40 minutes—an extraordinarily long time for an arbitrage opportunity to persist in any market, let alone a blockchain-based DEX ecosystem that operates 24/7 with global access. This extended lifecycle provides compelling evidence that Layer-2 DEX markets suffer from structural inefficiencies that allow profitable arbitrage opportunities to persist far longer than economic theory would predict.

Dollar Impact: Who Pays for Edge-Persistence?

The existence of persistent arbitrage opportunities like the LINK/USDC spread we’ve analyzed has real economic consequences for market participants. To understand who bears the cost of these inefficiencies, let’s quantify the damage through a concrete scenario involving a retail trader attempting to execute a position in the LINK/USDC market during the period when this spread was active.

Scenario: Retail Trader Crosses the Spread

Consider a typical mid-cap DeFi trader who wants to purchase $20,000 worth of LINK using USDC. This is a reasonable position size for an individual trader or small fund operating in the DeFi ecosystem. At the peak of the arbitrage opportunity we observed, the price discrepancy between Uniswap V3 and QuickSwap V3 represented a hidden cost of $97.44, or approximately 0.49% of the position size.

In the status quo scenario, without any MEV protection or guard-rail system in place, this trader would execute their purchase on whichever venue they happen to be using—let’s say Uniswap V3, where the price is temporarily depressed. They would pay the market price on that venue, unaware that they could have gotten a better price on QuickSwap V3. The trader effectively pays $97 in hidden slippage—the difference between the price they paid and the best available price across all venues. The venue itself captures nothing from this inefficiency; the value simply leaks away, either sitting idle as an uncaptured arbitrage opportunity or eventually being extracted by a sophisticated arbitrageur who happens to notice the spread.

The net cost to the trader in this scenario is the full $97. They receive less LINK for their USDC than they would have in an efficient market, and they have no visibility into the fact that they’ve been disadvantaged by the market’s structural inefficiency. This is the hidden tax that edge-persistence imposes on ordinary traders.

Now consider the same scenario with ORKID’s guard-rail system in place. The guard-rail operates in real-time, detecting the price discrepancy in under 5 milliseconds and making a decision about how to handle the trader’s transaction. The system has two primary modes of operation: BLOCK or RECYCLE.

In BLOCK mode, the guard-rail simply rejects the transaction, preventing the trader from executing at the disadvantageous price. The trader receives a notification that their transaction was blocked due to unfavorable market conditions, and they can choose to wait for better pricing or route their trade through a different venue. In this scenario, the trader pays nothing in hidden slippage—they’re protected from the inefficiency entirely. The venue captures no revenue from this interaction, but the trader is saved from a $97 loss.

In RECYCLE mode, which is the more sophisticated and economically interesting approach, the guard-rail doesn’t simply block the transaction. Instead, it neutralizes the spread by executing an offsetting arbitrage trade and rebates a portion of the captured value back to the venue. The trader still executes their purchase, but at a fair price that reflects the best available market rate. The arbitrage profit of $97 is captured by the guard-rail system and split according to a predetermined fee structure—typically 70% to the venue and 30% to ORKID.

Under the RECYCLE model, the trader pays approximately $29 (the 30% ORKID fee) instead of the full $97 they would have paid in the status quo. The venue receives $68 in rebated MEV revenue—money that would have otherwise leaked away or been captured by external arbitrageurs. ORKID receives $29 as compensation for providing the guard-rail service. The net result is a dramatic improvement in outcomes for both the trader and the venue.

ROI Table: Venue Economics

To make these economics concrete, let’s summarize the outcomes for each stakeholder under the three scenarios:

In the status quo scenario without any MEV protection, the trader loses $97 to hidden slippage, the venue captures no revenue from the inefficiency, ORKID receives no fee because it’s not involved, and the net gain to the venue is zero. The $97 simply leaks out of the system, either remaining as an uncaptured arbitrage opportunity or eventually being extracted by an external bot.

In the ORKID BLOCK scenario, the trader loses nothing because their transaction is rejected before they can execute at the unfavorable price, the venue captures no revenue, ORKID receives no fee, and the net gain to the venue is zero. However, the trader is protected from a $97 loss, which represents significant value preservation even though no revenue is generated.

In the ORKID RECYCLE scenario, the trader pays $29 (the 30% ORKID fee), the venue receives $68 in rebated MEV revenue, ORKID receives $29 as its fee, and the net gain to the venue is $68. This represents a dramatic improvement over the status quo, where the venue captured nothing.

The key insight from this analysis is that ORKID transforms toxic MEV from a trader tax into a venue revenue stream. Instead of allowing value to leak away through market inefficiencies, the guard-rail system captures that value and redistributes it in a way that benefits both traders (who pay less in hidden costs) and venues (who receive rebates that would otherwise go to external arbitrageurs). This is the fundamental value proposition of MEV recycling: turning a negative-sum game into a positive-sum outcome.

How ORKID Closes It: The Guard-Rail System

ORKID’s guard-rail system operates through a sophisticated three-stage pipeline that detects, validates, and neutralizes MEV opportunities in real-time. Each stage is optimized for speed and accuracy, ensuring that opportunities are captured before market conditions change while maintaining the highest standards of execution quality.

Stage 1: Detection (< 5 ms)

Detection runs on our Financial Molecular Dynamics (FMD) engine. This isn’t a mempool scanner looking for transactions to front-run. We monitor pool state directly—every Polygon DEX, real-time, calculating arbitrage opportunities from first principles.

The physics-based approach matters because it’s fast and exact. Traditional MEV bots use ML models or heuristics—computationally expensive, prone to missing edge cases. We use closed-form solutions derived from AMM math. Constant product formula, solved analytically. No approximations. No guesswork. Exact profit calculations in microseconds.

The detector is self-contained. No external API calls in the critical path. We read pool reserves from the blockchain, run the math locally, output a decision. That’s why we hit sub-5ms: zero network round-trips, zero database queries, zero ML inference overhead. Just math.

Stage 2: Simulation (< 10 ms)

Detection says “opportunity exists.” Simulation says “will it actually work?” We fork the blockchain state and execute the arb transaction against the fork. Pre-flight validation before we touch the real chain.

The simulation validates everything: actual gas cost at current network conditions, slippage from trading against the pools, LP fees from each DEX, net profit after all costs. If any of these numbers look wrong, we abort.

We also compare financing strategies. Flash-swaps (DEX native) versus Aave flash loans. On Polygon, flash-swaps usually win—zero premium beyond LP fees. But we validate per-opportunity, not by assumption. Sometimes Aave is cheaper. The simulation tells us which.

If net profit drops below threshold, or if the transaction would revert, we reject it. No execution. No wasted gas. This is why our success rate stays high—we only execute when simulation confirms profitability.

Stage 3: Execution (< 50 ms)

Simulation passes. Now we execute. This is where Flashbots Protect integration matters. We don’t broadcast to the public mempool where other bots can front-run or sandwich us. We route through a private mempool. Atomic execution. Zero MEV leakage.

Private routing guarantees: transaction gets included exactly as submitted, or not at all. No partial execution. No sandwich attacks. No opportunity leakage to mempool watchers. The arb profit we capture goes to the venue, not to some external bot.

Once the transaction lands on-chain, we calculate actual profit and split it: 70% to the venue, 30% to ORKID. Automatic rebate. No manual intervention.

Total latency, detection to execution: ~65ms. Detection 5ms, simulation 10ms, execution 50ms including network propagation. Sub-100ms pipeline means we capture opportunities before market conditions shift. Multi-stage validation means we only execute profitable, low-risk arbs.

Yield-Rebate Model: How the Economics Work

The 90-day yield vault turns toxic MEV into a revenue stream. Venues come out net-positive versus doing nothing. We capture value for providing the infrastructure. Aligned incentives.

How the Split Works

When we capture an MEV edge, here’s the structure:

Principal split: We keep 40%, venue locks 60% for 90 days. Why this split? Because venues used to lose 100% of that edge to external bots or slippage. Getting 60% back is a massive improvement over baseline.

Yield split: Both buckets earn yield during the 90-day lock. We take 70% of all yield, venue gets 30%. We’re monetizing the time value of locked capital. Venue still nets positive.

Lock period: 90 days. Long enough to accrue meaningful yield, short enough for treasury reporting cycles.

Early exit option: Forfeit all yield plus 1% of principal. Compensates us for lost yield opportunity. Principal is always safe in the audited vault contract.

Example: $1,000 Edge Captured

Let’s walk through a concrete example. We capture a $1,000 arbitrage opportunity on Polygon.

Cadence keeps immediately: $400 (40% of principal). Over 90 days at 5% APY, that generates $4.92 in yield. We keep 70% of our own yield ($3.44) plus 70% of the venue’s yield bucket ($5.17). Total to Cadence after 90 days: $410.09.

Venue locks: $600 (60% of principal). Over 90 days at 5% APY, that generates $7.38 in yield. Venue gets 30% of that yield ($2.21). Total to venue after 90 days: $602.21.

Venue perspective: Pre-ORKID, they lost $1,000 to toxic MEV. With ORKID, they recover $602.21 in 90 days. That’s a $602 net gain versus baseline, plus market integrity improvements, slippage reduction, and compliance logs.

Why Venues Accept This

Net-positive cash. Recovering 60% of previously lost MEV beats the status quo where they lost 100%.

Intangible value. Slippage reduction for users, fair-order execution badge, compliance audit logs. Worth more than the edge itself for institutional venues.

Emergency exit. Need liquidity? Exit early. Only cost is forfeited yield plus 1% fee. Principal is always safe in the audited vault contract.

Zero custody risk. Vault contract enforces splits automatically. No trust required. All on-chain, all auditable.

This isn’t yield farming. No token emissions. No liquidity mining. No Ponzi dynamics. This is captured MEV—real economic value that already exists, leaking away every block. We provide the infrastructure to capture it and split it in a way that makes everyone better off than the status quo.

Call to Action: Neutralize Your First Edge

Running a DEX, CEX desk, or validator DAO? The persistent spreads we just documented are draining value from your users. Hidden costs. Makes your platform less competitive. But there’s an opportunity: deploy ORKID’s guard-rail, transform toxic MEV into revenue.

We’re offering free 30-day pilots for design partners. No integration required. You get real-time telemetry on every edge we capture, full visibility into MEV flows hitting your platform, detailed analytics on potential revenue. Zero upfront cost. No long-term commitment. We deploy using read-only RPC access.

Revenue split: you keep 70%, we take 30%. Design partners who commit now get locked pricing for 12 months. No price increases as we scale.

What we need: read-only RPC endpoint, webhook URL for alerts, 15-minute kickoff call. That’s it. Within 24 hours, we’re live and monitoring your platform.

Interested? Reach out: jc@cadencesystem.com, LinkedIn (linkedin.com/in/jacobcavazos), Twitter (@orkid_protocol). We can provide technical docs, case studies, references from existing partners.

For those who want to dig deeper into the data behind this article, we’ve made the full telemetry dataset available for download. The LINK/USDC lifecycle CSV file contains all ten observation points from the September 29 arbitrage opportunity, with sanitized receipt IDs and complete metadata. The spread chart PNG provides a high-resolution visualization of the opportunity lifecycle that you can use in your own presentations or analysis. Both files are available in the blog assets section of our website.

Appendix: Sample Telemetry Data

For transparency and to enable independent verification of our analysis, we’re providing the complete telemetry dataset from the LINK/USDC arbitrage lifecycle documented in this article. The data is presented in CSV format with the following fields:

The timestamp_utc field shows the block timestamp in UTC format, providing precise timing for each observation. The pair field identifies the token pair being arbitraged—in this case, LINK/USDC. The profit_est_usdc field shows the estimated net profit in USDC after accounting for gas costs and flash loan fees. The route field indicates the execution route, with “private” denoting that the transaction would be sent through Flashbots Protect rather than the public mempool.

The risk_flags field contains the detector’s risk assessment for each observation, including flags like “none” for normal conditions, “thin” for deteriorating liquidity, “reopen” for a spread that had narrowed and then widened again, “widening” for a growing spread, “plateau” for a stable high spread, “narrowing” for a closing spread, “peak” for the maximum value, and “tail” for sub-economic levels. The chain field identifies the blockchain—Polygon mainnet in this case. The receipt_id field contains a sanitized transaction receipt identifier. The freshness_s field shows data staleness in seconds, with 0 indicating real-time detection. And the version field identifies the telemetry schema version for future compatibility.

timestamp_utc,pair,profit_est_usdc,route,risk_flags,chain,receipt_id,freshness_s,version
2025-09-29T20:08:08Z,LINK/USDC,82.3785,private,none,Polygon,rx_0001,0,v0.1-sanitized
2025-09-29T20:26:42Z,LINK/USDC,1.9124,private,thin,Polygon,rx_0002,0,v0.1-sanitized
2025-09-29T20:34:58Z,LINK/USDC,23.6387,private,reopen,Polygon,rx_0003,0,v0.1-sanitized
2025-09-29T20:43:44Z,LINK/USDC,40.6022,private,widening,Polygon,rx_0004,0,v0.1-sanitized
2025-09-29T20:57:58Z,LINK/USDC,84.4765,private,widening,Polygon,rx_0005,0,v0.1-sanitized
2025-09-29T21:08:29Z,LINK/USDC,84.4765,private,plateau,Polygon,rx_0006,0,v0.1-sanitized
2025-09-29T21:17:34Z,LINK/USDC,58.9651,private,narrowing,Polygon,rx_0007,0,v0.1-sanitized
2025-09-29T21:22:06Z,LINK/USDC,97.4398,private,peak,Polygon,rx_0008,0,v0.1-sanitized
2025-09-29T21:33:25Z,LINK/USDC,2.8058,private,tail,Polygon,rx_0009,0,v0.1-sanitized
2025-09-29T21:48:51Z,LINK/USDC,2.8058,private,tail,Polygon,rx_0010,0,v0.1-sanitized

This dataset provides a complete record of the arbitrage lifecycle, from the initial $82.38 opening spike through the various phases of thinning, widening, plateau, narrowing, peak, and final collapse. Researchers and developers are welcome to use this data for their own analysis, with attribution to ORKID and a link back to this article.

Meta Title: Edge-Persistence on Layer-2: How a 100-Min LINK/USDC Spread Left $97 on the Table

Meta Description: Real Polygon telemetry shows LINK/USDC arbitrage persisting 1 hour 40 minutes, peaking at $97.44. ORKID’s guard-rails neutralize these edges in < 5 ms.

Written by Orkid Labs