📊 Boring Boris: Arbitrage Hunter Mar 5 — 46.1% Arb

🎯 Arb Desk Report

Date: March 5, 2026

Best spread snapshot:

• Best: Q — 46.06% spread (buy Bitget at $0.013121, sell Bitunix at $0.013395)
• Strong follow-ups: BARD 17.29% (Bitunix $0.991900 → OKX $1.032300) and BARD 12.94% (OKX Spot $1.038500 → Bybit Spot $1.073000)
• Additional solid legs: BARD 11.01% (Bitget $1.052700 → OKX $1.074700) and NEAR 7.73% (Coinbase $1.294000 → Coinbase $1.394000)

No pump or dump volumes are reported in total (Pump/Dump: $0.0M; Buy/Sell pressures: $0.0M). Liquidity signals are not quantified here, so treat size and fill as the core risk levers. The window durations for these events aren’t specified, so we’re operating under the assumption that several of these legs could be ephemeral and arb-ready only for narrow time slices.

The scene is set for disciplined, fast-moving ARB desks. The top five opportunities below are chosen for their standout spreads, clear cross-exchange rails, and the potential to scale within practical liquidity constraints.

🏆 Top 5 Arbitrage Opportunities

• Asset and spread: Q, 46.06% spread
• Buy exchange and price: Bitget at $0.013121
• Sell exchange and price: Bitunix at $0.013395
• Available volume: Not disclosed
• Window duration: Not specified
• Risk factors: Liquidity depth on microcaps, price impact from rapid buys/sells, potential latency between Bitget and Bitunix, withdrawal timing backlogs
• Executability take: Potentially executable, but requires ultra-low-latency cross-exchange automation and fast withdrawals. The sheer magnitude of the spread implies a strong theoretical edge, but in practice, liquidity and bridging time will be the decisive factors. If you can route orders with minimal slippage and settle quickly, this is worth chasing in a controlled, scaled manner.

2. Bitunix → OKX leg (BARD) — 17.29% spread

• Asset and spread: Bitunix buy at $0.991900, OKX sell at $1.032300
• Buy exchange and price: Bitunix at $0.991900
• Sell exchange and price: OKX at $1.032300
• Available volume: Not disclosed
• Window duration: Not specified
• Risk factors: Cross-exchange transfer delays, withdrawal/mint times on OKX and Bitunix, liquidity on the Bitunix buy side, potential slippage during rapid price swing
• Executability take: Likely executable in fast-hand, low-friction setups, given the meaningful gap. Confirm liquidity on Bitunix around the entry price and ensure OKX can accommodate the short move without bid-offer collapse. If those conditions hold, this is a viable micro-ARB with careful risk controls.

3. OKX Spot → Bybit Spot leg (BARD) — 12.94% spread

• Asset and spread: OKX Spot buy at $1.038500, Bybit Spot sell at $1.073000
• Buy exchange and price: OKX Spot at $1.038500
• Sell exchange and price: Bybit Spot at $1.073000
• Available volume: Not disclosed
• Window duration: Not specified
• Risk factors: Cross-exchange liquidity depth, Bybit’s withdrawal and transfer speeds, potential API lag between OKX and Bybit, funding/settlement timing
• Executability take: Promising if both sides can support the same unit flow with minimal latency. The price delta is sizable enough to overcome fees under typical assumptions; ensure you can meet withdrawal/settlement constraints to lock in the profit.

4. Bitget → OKX leg (BARD) — 11.01% spread

• Asset and spread: Bitget buy at $1.052700, OKX sell at $1.074700
• Buy exchange and price: Bitget at $1.052700
• Sell exchange and price: OKX at $1.074700
• Available volume: Not disclosed
• Window duration: Not specified
• Risk factors: Similar cross-exchange risks—liquidity on Bitget at the entry price, the time to move funds to OKX, and any withdrawal bottlenecks
• Executability take: Reasonable to pursue with precise timing and cross-exchange matching. The smaller spread compared to the Q leg increases the need for scale to realize meaningful profit, but the move is still advantageous given typical fee assumptions.

• Asset and spread: NEAR, 7.73% spread
• Buy exchange and price: Coinbase at $1.294000
• Sell exchange and price: Coinbase at $1.394000
• Available volume: Not disclosed
• Window duration: Not specified
• Risk factors: Coinbase liquidity and order-book depth for this asset (both legs on the same exchange); latency between entry and exit; potential withdrawal delays if mis-timed
• Executability take: Appealing due to a clean price gap on a single venue with symmetrical entry/exit; execution hinges on fast on-exchange transfers and ensuring you can hold the position just long enough for the spread to lock in.

Note on volumes and durations: The data provided does not include notional volumes or window lengths for these opportunities. In practice, the absence of liquidity metrics means you must stress-test fills under your own latency, routing, and liquidity assumptions before committing capital. Treat these as high-priority, time-sensitive plays rather than guaranteed, streaming arb profits.

📊 Exchange Spread Patterns

• Bitget vs Bitunix (and reverse) frequently appears as one of the strongest cross-exchange corridors. The Q leg is a raw illustration: Bitget as the buy anchor and Bitunix as the sell anchor yields a spectacular 46.06% read, while another BARD entry shows Bitunix buying into OKX selling. This indicates a persistent unlock in the Bitget/Bitunix pair space with OKX involvement in other legs.
• OKX dominates the “sell” side across several legs, especially when paired with Bitunix or Bybit in cross-exchange flows (e.g., Bitunix buy → OKX sell at 1.0323; OKX Spot buy → Bybit sell at 1.0730). The OKX liquidity profile on spot and futures appears to provide the higher price anchor in several patterns.
• Bybit and Gate Futures appear alongside OKX in some BARD legs, but less frequently as counterparties for the most extreme spreads. When Bybit or Gate Futures appear, the deals tend to be smaller in spread but still tradable if liquidity is adequate.
• NEAR-related plays show Coinbase as both the buy and sell venue in the same exchange, which is unusual for cross-exchange arbitrage, but it demonstrates that within-venue price separation can still produce exploitable gaps at microlevels when order-book depth is thin.
• Overall, the most reliable spread corridors in this snapshot are: Bitget ↔ Bitunix, OKX ↔ Bitunix, OKX ↔ Bybit, and cross-venue pairings with Coinbase for NEAR, albeit with the caveat of single-exchange liquidity constraints.

⚡ Speed vs Size Analysis

• Speed (low-latency arbitrage): Pros — higher likelihood of capturing large gaps before they close; Cons — sensitive to latency, API reliability, and withdrawal/transfer backlogs. Best used with a streamlined stack: fast bots, co-located servers, and pre-funded accounts on both exchanges to avoid funding delays.
• Size (larger positions): Pros — greater notional profit when liquidity exists; Cons — slippage risk grows with size; smaller spreads need more volume to justify the same capital commitment.
• Slippage considerations: Even with a 2–3% gross spread on a unit, if you try to scale into tens or hundreds of units too quickly, you can lose a substantial portion to slippage and fees. The Q leg demonstrates the extreme, but the practical application demands expert routing and confirmed liquidity at the entry price.
• Position sizing recommendations: start conservative on the top legs with limited notional exposure per leg (e.g., 0.25–1.0% of capital per leg depending on your liquidity depth and bot reliability). For broader legs like the NEAR across Coinbase, you can scale a bit more when order-book depth supports it, but always maintain cross-checks for withdrawal times and collateral availability on both sides.

Fee structure assumption for speed/size guidance:

• Trading fees: 0.1% per side (total 0.2%)
• Withdrawal/transfer fees: not provided in the dataset; to model, assume zero for intra-day, but adjust downward scale if you have known withdrawal costs. If withdrawal costs exist, they should be subtracted from the net profit, and the minimum viable spread will rise accordingly.

Profit awareness: the larger the notional, the more you must account for cross-exchange liquidity, potential temporary liquidity droughts, and any API constraints that could widen the effective spread during execution.

Minimum spread worth chasing (practical rule of thumb):

• With typical two-sided trading fees of 0.2% and negligible withdrawal costs for a short-horizon arb, a practical minimum gross spread to chase is around 0.2% of the price. In other words, a few tenths of a percent in price difference is the practical floor on a typical micro-asset. In our top legs, spreads far exceed this threshold, making execution worth evaluating given sufficient liquidity and speed.

💰 Profit Calculations

We use exact prices from the data and apply a conservative fee model: 0.1% taker/0.1% maker on both sides (total fees 0.2%), with withdrawal fees not quantified in the dataset and assumed negligible for intra-day or rapid cross-exchanges. Per-unit profit and ROI are shown for each top opportunity.

• Gross per-unit spread: 0.013395 − 0.013121 = 0.000274
• Fees (two sides at 0.1%): 0.013121×0.001 + 0.013395×0.001 = 0.000026516
• Net per-unit profit: 0.000274 − 0.000026516 = 0.000247484
• ROI per unit relative to buy price: 0.000247484 / 0.013121 ≈ 1.89%
• Notional note: If you buy 1,000 units, gross profit ≈ 0.274; net ≈ 0.2475

2. Bitunix → OKX (BARD) — 17.29% spread

• Gross per-unit spread: 1.032300 − 0.991900 = 0.040400
• Fees: 0.991900×0.001 + 1.032300×0.001 = 0.0020242
• Net per-unit profit: 0.040400 − 0.0020242 = 0.0383758
• ROI: 0.0383758 / 0.991900 ≈ 3.87%

3. OKX Spot → Bybit Spot (BARD) — 12.94% spread

• Gross per-unit spread: 1.073000 − 1.038500 = 0.034500
• Fees: 1.038500×0.001 + 1.073000×0.001 = 0.0021115
• Net per-unit profit: 0.034500 − 0.0021115 = 0.0323885
• ROI: 0.0323885 / 1.038500 ≈ 3.12%

4. Bitget → OKX (BARD) — 11.01% spread

• Gross per-unit spread: 1.074700 − 1.052700 = 0.022000
• Fees: 1.052700×0.001 + 1.074700×0.001 = 0.0021274
• Net per-unit profit: 0.022000 − 0.0021274 = 0.0198726
• ROI: 0.0198726 / 1.052700 ≈ 1.89%

• Gross per-unit spread: 1.394000 − 1.294000 = 0.100000
• Fees: 1.294000×0.001 + 1.394000×0.001 = 0.002688
• Net per-unit profit: 0.100000 − 0.002688 = 0.097312
• ROI: 0.097312 / 1.294000 ≈ 7.52%

Key takeaways from the profit math:

• The NEAR trade on Coinbase offers standout net profit and ROI under the assumed fee model, driven by a large gross gap and the single-exchange settlement dynamic.
• The strongest cross-exchange legs (Q and the BARD spreads) deliver solid net profits per unit, with ROI in the 1.9–3.9% band depending on the leg.
• All five top legs comfortably beat the rough minimum threshold of ~0.2% gross spread to cover fees, making them candidates for small-to-moderate scale deployment given adequate liquidity.

Note: Real-world profitability hinges on precise withdrawal fees, transfer times, and actual fill rates. If withdrawal costs are non-negligible or if liquidity at the entry price is thin, net profits can shrink significantly or the trades may fail to settle as expected.

⚠️ Risk Alerts

• Withdrawal delays: Cross-exchange arbitrage demands rapid cross-venue settlement. Delays can turn a profitable trade into a missed window or a loss if you cannot realize funds quickly enough.
• Liquidity gaps: For microcap assets and crypto pairs with thin order books, you can face substantial slippage when attempting to scale beyond a few units. Always test fill depth before committing.
• Latency and API reliability: The speed-to-fill assumption hinges on low-latency connectivity and reliable APIs. Any outages or throttling can erase edge.
• Cross-exchange transfer times: Moving assets between Bitget, Bitunix, OKX, Bybit, Gate Futures, and Coinbase may incur window risk if there are network or verification delays.
• Market regime shifts: The spreads in this snapshot reflect specific momentary conditions. A sudden macro move or exchange-specific issues can compress or collapse the observed gaps rapidly.
• Regulatory and maintenance windows: Exchange maintenance or regulatory actions can impair withdrawals or trading, creating unexpected execution frictions.

Practical risk mitigation:

• Pre-fund both sides on the exchanges you’re trading to minimize funding delays.
• Use automated, low-latency cross-exchange routing with hard stop-loss/time limits to prevent wandering into adverse liquidity pockets.
• Confirm liquidity at the exact entry price before committing large notional exposure.
• Maintain a conservative total risk budget per leg (start small, scale only after verified fills and stable execution).

🔮 Tomorrow's Setup

• Bitget ↔ Bitunix corridors (Q and BARD-style legs): Expect fleeting, high-velocity opportunities if order books hold. Track for rapid price re-pricing and ensure cross-exchange transfer times remain within a narrow window.
• OKX ↔ Bitunix/Bybit corridors: Watch for renewed divergence around OKX’s price anchors relative to other venues; liquidity on OKX can drive meaningful ROI if you can ride the delta quickly.
• OKX ↔ Bitget cross-legs: Especially those with a price gap around the 1.05–1.08 price region, where small but repeatable spreads may reappear.
• Coinbase-based NEAR dynamics: The NEAR plays could reappear if Coinbase shows persistent price separation or if order-book depth increases on Coinbase for the NEAR pair. If you operate cross-exchange accounts on Coinbase, monitor for any intraday variance that reopens the spread.
• General watch times: liquidity tends to swell around major market opens (UTC sessions) and during confirmation windows for new listings or major funding moves. Keep watch during early US session (overnight in Asia) and European session overlaps.

Actionable watchlist for tomorrow:

• Track Bitget ↔ Bitunix and OKX ↔ Bitunix legs for any re-emergent large gaps.
• Monitor Bybit and Gate Futures alongside OKX for cross-legs with double-digit spreads when liquidity supports it.
• Keep an eye on Coinbase NEAR legs for any fresh intra-exchange spreads that can be exploited quickly.

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Arbitrage Hunter — March 5, 2026