🎯 Arb Desk Report

Date: March 23, 2026

Across a broad cross-section of centralized and derivatives venues, this snapshot flags 10 cross-exchange arbitrage signals out of a total of 145 events tracked. The standout spread isOP on OKX Spot to Coinbase, screaming a 17.29% gap. The pattern across the board shows a mix of spot-to-spot and futures-spot opportunities, with consistent execution risk around liquidity, withdrawal times, and inter-exchange latency. The overall volatility of price channels remains the core driver for these opportunities, but access to immediate, sufficient liquidity on both legs is the gating factor for real-world execution. For ARB traders, the message is clear: if you can lock the two legs simultaneously and move funds across exchanges without delay, there are tradable opportunities here. If not, these signals tend to evaporate quickly.

Total pump/dump and pressure metrics in this dataset are all zero ($0.0M). That is a note on the dataset frame rather than a statement about market indifference—the practical execution remains limited by real-time liquidity and transfer frictions. For today, we’ll focus on the top five opportunities by spread and lay out a crisp framework for evaluating executability, fees, and risk.

🏆 Top 5 Arbitrage Opportunities

Below are the five highest-spread opportunities in this snapshot. For each, I provide the asset, the listed spread, the buy and sell legs with exact prices, the available volume (as reported by the data), window duration (as reported by the data), risk factors, and a worked assessment of executability given typical cross-exchange frictions and fees.

• Buy exchange and price: OKX Spot at 0.115100
• Sell exchange and price: Coinbase at 0.135000
• Available volume: Not disclosed
• Window lasted: Not specified
• Risk factors: Rapid price reversion between venues; counterparty liquidity on Coinbase; withdrawal/transfer times; exchange liquidity gaps during the trade. Channel risk if funds move between OKX and Coinbase; potential latency in order matching across two venues; regulatory or withdrawal throttling could throttle funds.
• Executable? In principle yes, provided you can source and move the necessary capital quickly on both sides and can hit both legs in near synchrony. The margin is substantial, but liquidity and cross-exchange execution risk are the gating factors.
• Quick profit math (illustrative, using standard fees): Using a notional of 100,000 units
• Gross profit = (0.135000 − 0.115100) × 100,000 = $1,990
• Fees (assuming 0.1% per leg): Buy fee = 0.001 × (0.115100 × 100,000) = $11.51; Sell fee = 0.001 × (0.135000 × 100,000) = $13.50; Total fees = $25.01
• Net profit ≈ $1,990 − $25.01 = $1,964.99
• Net margin ≈ 1,964.99 / 11,510 ≈ 17.1%
• Note: These calculations assume 0.1% taker/spot fees on both legs; actual fees vary by exchange and tier.

• Buy exchange and price: Bitunix at 1.852781
• Sell exchange and price: Bybit at 1.891770
• Available volume: Not disclosed
• Window lasted: Not specified
• Risk factors: Inter-exchange withdrawal/transfer times; liquidity depth on Bybit for this price; possible price drift during cross-exchange transfer; counterparty risk across two venues.
• Executable? In principle, yes if the Bitunix liquidity is sufficient and Bybit can absorb a near-immediate offset at 1.891770 without slippage that erodes edge.
• Profit math (100k notional):
• Gross profit = (1.891770 − 1.852781) × 100,000 = $3,898.90
• Fees: Buy = 0.001 × (1.852781 × 100,000) = $185.28; Sell = 0.001 × (1.891770 × 100,000) = $189.18; Total fees ≈ $374.46
• Net profit ≈ $3,898.90 − $374.46 = $3,524.44
• Net margin ≈ 3,524.44 / 185,278 ≈ 1.90%

• Buy exchange and price: Bitunix at 0.181820
• Sell exchange and price: Bybit at 0.189275
• Available volume: Not disclosed
• Window lasted: Not specified
• Risk factors: Bitunix-to-Bybit liquidity depth; slippage risk on the Bybit leg if scale is sizable; withdrawal and funding delays; price moves during transfer.
• Executable? The edge is substantial but execution hinges on two-way liquidity and low latency.
• Profit math (100k notional):
• Gross profit = (0.189275 − 0.181820) × 100,000 = $745.50
• Fees: Buy = 0.001 × 18.182 × 1,000? (exact notional) = $1.8182? For clarity, with 100,000 units: Buy cost = 0.181820 × 100,000 = $18,182; Buy fee ≈ $18.18; Sell cost = 0.189275 × 100,000 = $18,927.50; Sell fee ≈ $18.93
• Total fees ≈ $37.11
• Net profit ≈ $745.50 − $37.11 = $708.39
• Net margin ≈ 708.39 / 18,182 ≈ 3.89%

• Buy exchange and price: Bitunix at 0.172207
• Sell exchange and price: Bitget at 0.176380
• Available volume: Not disclosed
• Window lasted: Not specified
• Risk factors: Bitget liquidity depth and potential price impact on the sell leg; latency between Bitunix and Bitget; cross-exchange transfer frictions.
• Executable? Yes in principle, but you’d want to verify counterpart liquidity on Bitget and ensure rapid settlement.
• Profit math (100k notional):
• Gross profit = (0.176380 − 0.172207) × 100,000 = $417.30
• Fees: Buy = 0.001 × 17.2207 = $0.017? Rather, for 100k units: Buy cost = 0.172207 × 100,000 = $17,220.70; Buy fee ≈ $17.22; Sell cost = 0.176380 × 100,000 = $17,638.00; Sell fee ≈ $17.64
• Total fees ≈ $34.86
• Net profit ≈ $417.30 − $34.86 = $382.44
• Net margin ≈ 382.44 / 17,220.70 ≈ 2.22%

• Buy exchange and price: Bitunix at 1.950960
• Sell exchange and price: Bybit at 2.021985
• Available volume: Not disclosed
• Window lasted: Not specified
• Risk factors: Bybit depth on the higher price leg; Bitunix liquidity at 1.95; cross-exchange timing risk; withdrawal delays could throttle cash movement.
• Executable? Yes in principle, but liquidity depth and speed requirements are higher given the higher price level and potential for slippage on the Bybit leg if scaled.
• Profit math (100k notional):
• Gross profit = (2.021985 − 1.950960) × 100,000 = $7,102.50
• Fees: Buy = 0.001 × (1.950960 × 100,000) = $195.10; Sell = 0.001 × (2.021985 × 100,000) = $202.20; Total fees ≈ $397.30
• Net profit ≈ $7,102.50 − $397.30 = $6,705.20
• Net margin ≈ 6,705.20 / 195,096 ≈ 3.44%

Notes on the Top 5 calculations:

• The per-unit profits and the 100k-notional illustrations above use a baseline fee model: 0.1% on each leg (i.e., 0.2% total). Actual fees vary by exchange tier, instrument, and region, and withdrawal costs differ by asset and exchange. The explicit numbers show the magnitude of the edge, while the percent-margin line reflects the relative size of the edge after fees.
• The listed spreads (17.29%, 15.29%, 14.69%, 14.38%, 13.80%) are the percentages reported in the dataset. The net margins computed here are the realistic margins after applying a plausible fee structure and using the prices given for each leg.

Minimum spread worth chasing:

• The break-even condition under a two-leg fee model (f per leg) is roughly when sell − buy > f × (buy + sell). With a typical 0.1% per leg (f = 0.001), break-even corresponds to a net edge of about 0.2% relative to the average leg price. All five top opportunities exceed that threshold by a wide margin, indicating potential profitability in a clean, fast-execution setup.

📊 Exchange Spread Patterns

• Corridor strengths: The strongest and most repeatable signal in this batch is OKX Spot to Coinbase for OP, where the listed spread is the largest (17.29%). This corridor illustrates the classic “separate-order book depth” alpha where the spot price on a crypto exchange diverges from a more centralized, high-liquidity venue (Coinbase) by a meaningful amount.
• Bitunix as a liquidity hub: Two BR signals (Bitunix buy with Bybit or with Bitget as sell) and the SIREN signals (Bitunix buy with Bybit sell) highlight Bitunix as a primary liquidity source for the bid leg, with Bybit and Bitget as common counter-exchanges. The pattern suggests Bitunix is a preferred source of lower buy prices for this cluster, while Bybit and Bitget frequently wrap the sell leg at a slightly higher price.
• Bybit to Bitget and Gate Futures alongside ARIA: The SIREN (11.08%) pair (Bybit buy to Bitget sell) and ARIA (10.46%) (Bybit buy to Gate Futures sell) show a recurring Bybit as the buyer and Bitget or Gate Futures as the seller. This implies Bybit’s liquidity for the asset is robust, while Bitget and Gate Futures provide the offset price for the sell leg in the same corridor.
• Hyperliquidity vs. CEX friction: The overall pattern across these signals is consistent with cross-venue arbitrage driven by time-lagged price discovery and differing liquidity depths. The biggest caveat is cross-exchange frictions—withdrawals, transfers, and latency—that can erode the edge before the second leg can be filled.

⚡ Speed vs Size Analysis

• Speed edge (small spreads, high speed) vs size edge (larger spreads, slower fill): The OP signal demonstrates a very large gross edge, but the execution risk multiplies with any delay in funding transfers between OKX Spot and Coinbase. The larger the notional, the more sensitive you become to latency and slippage on the slower leg.
• Slippage considerations: Even with a 17% gross spread, if the buy side cannot be filled fully or the sell side cannot be cleared immediately, you can shed a sizable portion of the edge to slippage and fees. This is especially true for assets with thinner liquidity on Bitunix, Bitget, or Gate Futures during the leg you’re selling into.
• Position sizing recommendations: With high-edge corridors (OP, SIREN from Bitunix to Bybit; BR variants), consider tiered sizing: begin with modest notional (e.g., 10k-50k) to verify latency and liquidity and then scale up to larger notional (100k+). This approach minimizes beta exposure to execution risk while preserving edge harvesting opportunities.
• Front-running and cross-exchange race risk: When leg timing is tight, front-running and latency arbitrage can erode edge. Exchanges with robust API performance and low-latency matching engines are essential for keeping the edge intact.

💰 Profit Calculations

• Gross spread is simply Sell − Buy, expressed as a percentage of the buy price (as shown in the data).
• Fees (two legs): assume 0.1% per leg (adjust to your actual fee schedule). For each opportunity, total fees are approximately 0.2% of the buy/sell notional combined.
• Withdrawal fees: not provided in the data; these vary by asset and exchange. Use your standard asset withdrawal cost as a separate line item if you’re moving funds to or from exchanges to fund the second leg.
• Net profit formula per unit: Net = (Sell − Buy) − FeesBuy − FeesSell
• Net profit per 100k notional, and net margin: As shown in the Top 5 calculations, the net margin for these opportunities typically ranges from roughly 1.9% to 3.9% in the notional example, after a baseline 0.1% per-leg fee assumption.
• Minimum viable spread: With the baseline 0.2% total fee, you need a gross spread greater than about 0.2% to cover fees. All five top opportunities exceed this bar by a wide margin, making them actionable in a fast automation setup.

What this means for traders: If you operate on a tight latency loop with reliable access to both legs, the gross spreads here can translate into meaningful net profits, as long as you size the trades to manage liquidity risk and ensure the second leg fills quickly enough to avoid slippage.

⚠️ Risk Alerts

• Withdrawal delays: If moving capital across exchanges to fund the opposite leg, any delay can kill the arbitrage edge.
• Liquidity gaps: Thin order books on secondary venues (Bitunix, Bitget, Gate Futures) can cause slippage on the second leg and erode profitability.
• Exchange issues: Temporary outages, API rate limits, or maintenance windows can prevent timely execution on one leg.
• Latency and front-running: High-speed arbitrage requires robust infrastructure; even small delays can turn a positive edge into a negative result.
• Market regime shifts: If price channels change in milliseconds, the “present” arbitrage opportunity can disappear by the time you attempt the second leg.

🔮 Tomorrow's Setup

• Assets to watch: OP (OKX Spot ↔ Coinbase) remains the highest-value corridor; BR and SIREN continue to show strong horizontal spreads across Bitunix ↔ Bybit and Bitunix ↔ Bitget. ARIA (Bybit ↔ Gate Futures) adds a lower-risk, steady spread profile to monitor.
• Best times to watch: The strongest edges tend to appear when liquidity on the buyer leg complements the seller leg across the two exchanges in your chosen corridor. Monitor during sessions when funding markets are active and liquidity tends to be higher across the involved venues (the exact hours depend on your geography and exchange time zones). Look for synchronized price moves in the OP corridor (OKX– Coinbase) and the Bitunix-led corridors (Bitunix ↔ Bybit, and Bitunix ↔ Bitget).
• Exchange pairs to monitor: OKX ↔ Coinbase (OP); Bitunix ↔ Bybit (SIREN, BR); Bitunix ↔ Bitget (BR, SIREN); Bybit ↔ Bitget (SIREN); Bybit ↔ Gate Futures (ARIA). Maintain a watchlist for any spillover liquidity changes in these corridors.

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Arbitrage Hunter — March 23, 2026

This report is tailored for professional ARB traders. The opportunities above show meaningful edge, but execution is key. Ensure you have liquid standby capital on both sides, ultra-low-latency routing, and real-time liquidity checks before pulling the trigger. The data here provides the framework; your actual P&L will depend on live liquidity, fees, and timing. Stay disciplined, stay fast, and stay safe in the cross-exchange scramble.