🎯 Arb Desk Report

Date: March 13, 2026

Best spread in view: 9.16% (PRCL). Across the board, the top lines are driven by tiny asset prices where the nominal dollar deltas are modest but the relative spreads are sizable. The best path to profitability will be to connect live to the venues, verify orderbook depth, and confirm withdrawal and transfer mechanics before risking capital. This report presents a structured view on the top five opportunities, patterns across exchanges, a speed-versus-size lens, and a framework for profit tracking under professional risk controls.

🏆 Top 5 Arbitrage Opportunities

Note: Spreads are taken exactly as reported in the data. Buy and sell prices are exact per opportunity. Available volume and window duration are not provided in the data feed and are flagged as not disclosed. Executability is assessed given the absence of disclosed liquidity and timing data.

• Asset and spread: PRCL with a 9.16% spread (buy Coinbase at $0.015100, sell OKX Spot at $0.015510)
• Buy exchange and price: Coinbase at $0.015100
• Sell exchange and price: OKX Spot at $0.015510
• Available volume: Not disclosed
• Window duration: Not disclosed
• Risk factors: Liquidity depth on both Coinbase and OKX Spot for PRCL at these micro-prices; cross-exchange transfer latency; potential nonce or settlement timing misalignments; withdrawal onboarding speed; exchange-level operational incidents
• Executability verdict: Theoretical spread is attractive, but with no disclosed depth data and no window duration, executable action cannot be confirmed in real-time. This is a candidate for a live-feed test if liquidity is confirmed and transfer rails are fast enough.

• Asset and spread: LYN with an 8.17% spread (buy Bitunix at $0.196809, sell Bybit at $0.201940)
• Buy exchange and price: Bitunix at $0.196809
• Sell exchange and price: Bybit at $0.201940
• Available volume: Not disclosed
• Window duration: Not disclosed
• Risk factors: Bitunix liquidity depth and Bybit withdrawal/transfer cadence; market depth at sub-$0.20 price band; cross-exchange settlement risk; potential market impact from a fast-moving environment
• Executability verdict: High potential if live depth exists on both sides. Absence of volume data means you should verify orderbook size and confirm rapid execution on both ends before committing.

• Asset and spread: STX with a 7.62% spread (buy Coinbase at $0.234900, sell Coinbase at $0.252800)
• Buy exchange and price: Coinbase at $0.234900
• Sell exchange and price: Coinbase at $0.252800
• Available volume: Not disclosed
• Window duration: Not disclosed
• Risk factors: This is effectively a same-exchange opportunity given both legs are Coinbase; unusual cross-venue logic could imply different market microstructures or a synthetic spread. If this is genuine inter-market assortment, liquidity checks are critical; otherwise, it may reflect dataset inconsistency.
• Executability verdict: Given the same exchange on both legs, executable action depends on whether Coinbase offers truly distinct micro-markets or a cross-listing, which appears unlikely in standard practice. Treat as non-actionable absent live-market verification.

• Asset and spread: LYN with a 7.24% spread (buy Bitget at $0.202079, sell Bybit at $0.208906)
• Buy exchange and price: Bitget at $0.202079
• Sell exchange and price: Bybit at $0.208906
• Available volume: Not disclosed
• Window duration: Not disclosed
• Risk factors: Liquidity depth on both Bitget and Bybit; transaction costs across venues; cross-check for possible routing constraints; latency exposure
• Executability verdict: Promising in principle if depth exists on both sides. Requires real-time liquidity confirmation; otherwise, execution risk is high.

• Asset and spread: TURBO with a 7.05% spread (buy OKX at $0.001116, sell Bitunix at $0.001152)
• Buy exchange and price: OKX at $0.001116
• Sell exchange and price: Bitunix at $0.001152
• Available volume: Not disclosed
• Window duration: Not disclosed
• Risk factors: Ultra-low price regime can be sensitive to latency and micro-second order routing. Check for liquidity depth and micro-structure on both OKX and Bitunix; whitelisting/withdrawal timing complications may arise
• Executability verdict: Potentially attractive, but only if live depth exists and cross-execution timing is synchronized. In the absence of volume data, treat as contingent until verified.

📊 Exchange Spread Patterns

What patterns emerge across the 97 opportunities?

• Cross-venue persistence: The data shows repeated cross-lane opportunities between OKX, Coinbase, Bybit, Bitget, and Bitunix. Specifically, OKX and Coinbase appear together in at least two high-spread legs (PRCL and ADA), underscoring that OKX- Coinbase frictions or price misalignments persist across cycles.
• Bybit vs Bitget symmetry: Several entries involve Bybit and Bitget in opposing legs (e.g., NAORIS via Bybit to Bitget, and LYN via Bitget to Bybit). This pattern suggests bilateral liquidity frictions or delayed price convergence between these two venues in certain micro-asset classes.
• Bitunix as a cross-ply anchor: Bitunix shows up as both a buy and a sell venue in several top legs (LYN, TURBO, etc.), highlighting its role as a liquidity node for small-price instruments and cross-arb opportunities. The pairing with Bitget and Bybit reinforces the sense that Bitunix is a pivotal cross-lane stop in this snapshot.
• Coinbase as a common buyer/seller node: STX presents a case where Coinbase appears on both sides (buy and sell), which may imply a dataset quirk or a distinct market microstructure within the exchange. If real, this pattern would demand scrutiny of market segmentation or internal price pools on Coinbase.
• The multi-venue texture across ultra-small instruments: Several assets trade near sub-dollar levels with cross-exchange legs that rely on sub-penny-to-penny price movements. These patterns emphasize the importance of latency, routing efficiency, and universal connectivity to all involved venues.

Overall, the recurring theme is a web of cross-venue frictions among OKX, Coinbase, Bitget, Bybit, and Bitunix. Traders with robust, low-latency infrastructure and verified liquidity access across these venues can attempt to capture multiple legs quickly. The absence of disclosed volume data, however, tempers confidence in immediate executability across the board.

⚡ Speed vs Size Analysis

• Speed advantage: The high-spread legs (especially PRCL at 9.16%) are most attractive in theory when you can snap-fill with near-zero slippage and immediate transfers. The speed delta decides whether you capture the spread before price realigns across venues.
• Size/slippage tradeoff: In micro-price regimes, slippage becomes a function of depth. A price move of a few tenths of a cent can erase large percentages of a reported spread when liquidity is thin. For example, the TURBO leg has a tiny per-unit profit (0.000036) but could yield more in dollar terms if a larger notional is filled — provided depth is sufficient.
• Position sizing guidance: For these micro-asset opportunities, you should consider tiered sizing by notional exposure rather than strictly by unit count, to avoid proportional slippage at the first fill. Start with small notional trials to test depth and routing latency; scale into higher notional exposure only after confirming reliable two-sided fill on both venues.
• Slippage considerations: In fast-moving cross-venue contexts, price moves between the moment you place a buy and the moment you place a sell can eat a large portion of a small gross spread. The narrower the liquidity window, the more aggressive your routing must be, and the more you need to rely on automated execution engines and real-time depth checks.

Recommendation: Use a dual-track approach—target the highest relative spreads with proven liquidity depth (once confirmed in live feeds) and simultaneously monitor lower-volume, larger spreads for risk-adjusted scaling. Always predefine execution thresholds and market condition gates (e.g., minimum depth on both sides, acceptable quote delay) to reduce adverse selection.

💰 Profit Calculations

Important note: The data provided includes gross per-unit deltas (sell price minus buy price) but does not supply trading fees, withdrawal costs, or exact notional volumes. The following is a transparent framework with explicit assumptions for profit estimation.

• Assumed trading fees: 0.10% per side (0.20% total) as a conservative baseline for spot trades across major venues, applied to the notional value of each leg.
• Withdrawal fees: Asset-specific and venue-specific; not provided in the data. For the purpose of this calculation, we present two scenarios:
• Scenario A (fees on trades only): No withdrawal fees assumed (best-case completion of transfer).
• Scenario B (withdrawal fees applied): A placeholder range is applied per leg if withdrawal costs exist (we note that actual withdrawal fees vary by asset and exchange and can be non-trivial for certain micro assets).
• Net profit per unit after trading fees (Scenario A):
• PRCL: Gross 0.000410; net after 0.20% total fees = 0.000410 × (1 − 0.002) = 0.00040918
• LYN (Bitunix buy, Bybit sell): Gross 0.005131; net = 0.00512074
• STX: Gross 0.017900; net = 0.01786420
• LYN (Bitget buy, Bybit sell): Gross 0.006827; net = 0.00681335
• TURBO: Gross 0.000036; net = 0.00003593
• Net profit per unit after trading fees plus withdrawal fees (Scenario B): This requires asset- and venue-specific withdrawal fees. As these are not provided, you would subtract the exact withdrawal costs (per asset) after applying the Scenario A net profits.

Gross-to-net delta example (per unit, Scenario A):

• PRCL: ~0.00040918 USD
• LYN (Bitunix → Bybit): ~0.00512074 USD
• STX: ~0.01786420 USD
• LYN (Bitget → Bybit): ~0.00681335 USD
• TURBO: ~0.00003593 USD

What is the minimum spread worth chasing?

• Given a baseline of 0.20% total trading fees, any opportunity with a gross spread larger than approximately 0.20% will be worth considering from a pure-fee perspective, assuming you can achieve near-0 slippage and reliable two-sided fills.
• In this dataset, the top five opportunities (with the prices shown) have gross deltas ranging from about 0.000036 to 0.017900 per unit. When expressed as a percentage of the buy price, several entries exceed the 0.20% threshold by a comfortable margin, meaning they are potentially worth chasing in a live environment—provided liquidity is confirmed and transfer times are within a tight window.
• Practically, you should quantify the notional volume you can reliably execute across both legs given live depth, then multiply by the net per-unit profit to obtain expected daily or per-session net profits. Never assume full notional fill in a single pass; implement sequential, staged execution with real-time depth checks.

⚠️ Risk Alerts

• Withdrawal delays and on-chain fees: Crypto withdrawals vary widely by asset and exchange. If the arbitrage requires moving funds between venues, withdrawal latency and network congestion can erode or erase profits.
• Liquidity and depth risk: The dataset shows zero “Total pump/dump/buy/sell pressure” volumes. Real-world profitability hinges on verified depth on both legs. A large order can consume depth, causing slippage on one side that wipes out the spread.
• Exchange reliability and outages: Large, multi-exchange operations can be impacted by API instability, maintenance windows, or liquidity freezes. Ensure you have failover connectivity and monitoring in place.
• Timing risk and settlement windows: Transfers between exchanges, especially for cross-border (and cross-chain) liquidity, can take longer than expected. Plan for contingency liquidity to avoid stranded positions.
• Market microstructure quirks: Some opportunities (e.g., STX) involve same-exchange legs or venous pricing that may reflect internal pools rather than true cross-exchange arbitrage. Exercise caution and verify that legs are independently executable.

🔮 Tomorrow's Setup

• Likely candidates: The large spreads around PRCL, ADA, and the Bybit–Bitunix–Bitget–OKX cluster suggest that cross-lane frictions persist around these venues. Monitor PRCL and ADA specifically on OKX vs Coinbase legs, and watch LYN lines across Bitunix–Bybit and Bitget–Bybit for potential re-emergence as depth refreshes occur.
• Best times to watch: Early European session into the US session often bring fresh liquidity injections and cross-exchange reconciliations, particularly for micro-cap assets with multiple venue listings. Set alarms for depth changes on both sides of the top-leverage legs (PRCL, LYN, TURBO) across OKX, Coinbase, Bitunix, Bitget, and Bybit.
• Exchange pairs to monitor: OKX vs Coinbase (PRCL, ADA), Bitunix vs Bybit (LYN), Bitget vs Bybit (LYN), OKX vs Bitunix (TURBO), and Bitget vs Bitunix (JCT). Keep an eye on cross-pair updates between Bitunix, Bitget, and Bybit for fresh legs with respectable depth.

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Arbitrage Hunter — March 13, 2026