How to Reduce Token Spread on a Centralized Exchange

Effective spread reduction begins with a granular audit of current order book performance. Issuers must move beyond looking at simple volume figures and instead scrutinise the 14-day time-weighted spread (TWS) and depth at various price increments, specifically ±50bps and ±200bps. If the spread is thin but the depth is shallow, the market is fragile and susceptible to manipulation or flash crashes. Conversely, if depth is significant but the spread remains wide, the primary constraint is likely the market maker's risk appetite or the exchange’s fee structure. Diagnostic tools should also look at the 'uptime' of the quotes; a provider that only tightens during quiet hours is failing their primary mandate. We recommend using third-party analytics or direct API feeds to verify that your providers are meeting their contractual obligations during periods of high volatility, not just during market lulls. This transparency is particularly crucial when dealing with offshore venues where oversight may be less stringent. By identifying whether the bottleneck lies in capital deployment, algorithmic latency, or exchange costs, an issuer can apply the correct remedy—be it a new MM mandate, an exchange fee waiver, or a strategic re-allocation of inventory across venues to focus on the most profitable pairs.

One of the most common mistakes in liquidity management is relying on a single market maker. This creates a monopoly over the token’s spread and removes any incentive for the provider to optimise their algorithms. A 'panel' approach—typically involving two professional firms—introduces competitive tension. When two providers are vying for the same taker flow on an exchange like Bybit or OKX, they are naturally incentivised to quote at the inside of the spread to capture rebates and trade volume. However, this panel must be managed with precision. Each provider should have a clearly defined KPI in their Market Making Agreement (MMA), specifically mandating a maximum spread (e.g., 20 basis points) for a certain percentage of the day. If one provider consistently quotes wider than the other, the issuer has a data-backed case for renegotiation or termination. Furthermore, a dual-MM structure provides essential redundancy. If one provider experiences a technical outage or inventory imbalance, the other can maintain the book, preventing the spread from blowing out to retail-damaging levels. At Xavion Capital, we assist in drafting these performance-based contracts, ensuring they align with the regulatory expectations of authorities like the ADGM FSRA or the Labuan FSA, where market integrity and fair price discovery are paramount to maintaining a regulated status.

The cost of quoting tight spreads is heavily influenced by the exchange's fee and rebate schedule. Most Tier-1 exchanges operate a 'maker-taker' model, where market makers are rewarded with rebates for adding liquidity. If your token is on a lower volume tier, the maker fee might be positive, meaning the MM pays to provide liquidity, or the rebate might be too low to offset the risk of being 'picked off' by toxic flow. To reduce spread, issuers should actively negotiate 'Market Maker Programs' directly with the exchange's institutional desk. This often involves the exchange providing a negative maker fee (a rebate) to the designated liquidity provider. By lowering the MM’s cost of business, the project can contractually demand a corresponding reduction in the bid-ask spread. Furthermore, some exchanges like Binance or Bitget offer 'liquidity support' programs for high-potential projects, providing additional incentives for MMs to maintain tight spreads. It is vital to ensure that these rebates are being used to benefit the project's liquidity rather than simply padding the provider's bottom line. Successful spread management requires a tripartite relationship between the issuer, the market maker, and the exchange, where all incentives are aligned toward a narrow, deep, and stable order book that attracts genuine retail and institutional interest.

Liquidity fragmenting is the enemy of tight spreads. Many projects feel pressured to list on as many exchanges as possible to increase visibility. However, spreading a limited pool of capital across ten different venues often leads to wide spreads on all of them. Each additional venue requires its own inventory of tokens and stablecoins, and each is subject to its own fee structure and latency issues. A more effective strategy is to concentrate liquidity on two or three 'anchor' venues where the majority of organic trading occurs. By focusing your market makers’ efforts on a smaller number of pairs (e.g., TOKEN/USDT on two major exchanges), you allow them to provide significantly deeper books and tighter spreads with the same amount of capital. Once these flagship books are healthy and stable, you can then leverage cross-exchange arbitrage to naturally tighten spreads on secondary venues. Furthermore, consider the pairing. While USDT is the industry standard, adding BTC or ETH pairs can sometimes fragment liquidity further. Unless there is a strategic reason for these pairs, it is often better to defend a single, highly liquid USDT pair with a 10bps spread than to have three pairs with 100bps spreads. This focus improves the token's ranking on aggregators like CoinMarketCap and CoinGecko, which heavily weight the 'Confidence' and 'Liquidity' scores.

In the digital asset space, transparency is the cornerstone of institutional credibility. Regulators such as the Securities Commission Malaysia (SC) and the FSC BVI are increasingly looking at how tokens are managed in the secondary market. To ensure long-term spread health, issuers must implement a rigorous reporting framework. This should include weekly or monthly liquidity reports provided by the market makers, but verified independently. Key metrics should include the average spread during peak volatility, the ratio of maker-to-taker volume, and the 'slippage' for a standard trade size (e.g., a $10,000 market sell). If your market maker cannot provide this level of detail, they are likely using outdated technology or lack the professional infrastructure required for institutional-grade service. Beyond basic KPIs, look for 'Order Book Skew'—whether the provider is artificially pushing the price or maintaining a neutral, balanced book. A healthy market maker should be 'delta neutral' and focused on the spread, not the price direction. By maintaining this level of oversight, issuers not only reduce the cost of trading for their community but also build a track record of market stability that is invaluable when pitching to Tier-1 investors or pursuing secondary listings on premium exchanges. Professionalism in market making is not just about the numbers; it is about demonstrating a commitment to a fair and orderly market.