February 2026 turned out to be one of the toughest months: over the month BTC dropped by almost 15% and closed the fifth red candle in a row, major alts fell by 20–30%, volatility returned, and liquidity disappeared.
TradingView source: WhiteBIT chart BTC/USDT (1D)
To make the economics easier to see against this backdrop, let’s take a realistic hypothetical example of an active trader starting with around 5 million USDT. In this setup, about 3 million USDT is allocated to BTC/USDT (part in long spot, part covered by a short in futures), around 1.2 million to ETH/USDT for range trading, and another ~800k to liquid top-20 alts and stables for margin and cash.
Direction-wise, the setup itself is not the problem: shorts on bitcoin work out, alts are partially hedged, and spot rebalances add delta. The higher turnover that appears later is not the starting balance itself - it comes from the same capital being actively recycled through spot, futures, hedging and rebalancing throughout the month.
For me, this is where the real problem begins: even when the market view is broadly right, PnL can still break down on execution - this is where liquidity and spread start doing the real damage to the result.
How much does it cost to “support the market” during a drawdown
If you look not at candles but at the order book, in a calm market the spread on BTC/USDT stays around 0.02–0.03%, and in moments of panic it can widen to 0.08–0.12%; on alts it is often even wider. In the example above, total turnover across spot, margin and futures reaches about 110 million USDT over the month. At least 90% of trades are pure taker, with a taker fee of about 0.1%, while the average spread cost comes out to roughly 0.04% of volume.
The arithmetic is brutal: 110M × 0.1% = 110,000 USDT in fees, and another 110M × 0.04% = 44,000 USDT in spread. That is almost 154,000 USDT lost not because the market view is wrong, but simply because execution is expensive. Even if the strategy itself generates about +90k USDT gross before infrastructure costs, fees and spread alone are enough to turn the month into roughly –64k.
And that is the ugly part of the whole setup: the problem is not just direction, but the cost of accessing liquidity under stress.
In practice, many traders simply do not notice this drag because it is spread across thousands of executions during the month. Only when turnover is aggregated does the real cost of liquidity become visible.
Why does Market Making matter in this case?
After a month like this, the logic usually comes down to three options: cut volumes and behave like a passive investor, spread turnover across even more exchanges, or stop paying spread and taker fees like retail and start thinking like a liquidity provider. To me, the first option looks like capitulation, and the second only makes execution, accounting and risk harder to manage. That leaves the third path: changing the role in the order book rather than simply increasing market exposure.
In a case like the one above, WhiteBIT becomes relevant for a simple reason: it combines spot and futures liquidity on key pairs with infrastructure built for execution - API connectivity, subaccounts, colocation and individual support. Once the fee drag becomes visible on this scale, the next logical step is to look at the Market Maker program and model what happens if turnover is shifted away from chaotic taker flow across multiple venues and concentrated into more structured maker execution on one exchange.
The point is not the headline alone, but the economics behind it. Under MM conditions, fees can fall sharply or even turn into rebates on maker flow. WhiteBIT also shows the broader infrastructure needed for this model: flexible API access, subaccounts, colocation and 24/7 support.
This is why I see market making not as a badge, but as a different execution logic altogether. Market making changes not just the fee line, but the whole logic of execution. The same turnover can either bleed through spread and taker costs, or retain more capital through maker flow and rebates.
The same liquidity, but by different rules: the math of the Market Maker
Then comes the dry arithmetic. To keep the comparison clean, take the same 110 million USDT of monthly turnover and model it under WhiteBIT’s top spot MM conditions: –0.012% maker and 0.020% taker. Assume the required maker volume is reached and the flow is fully consolidated on one venue: about 100 million goes through limit orders as maker, while about 10 million remains taker for hedging and urgent execution.
In this setup, fees stop being a pure tax and start working in the trader’s favor: 100M × (–0.012%) = –12,000 USDT in rebate, while 10M × 0.020% = 2,000 USDT in costs. The net result on fees is therefore +10,000 USDT instead of the previous –110,000. With the spread it is a similar story: previously, crossing an average range of about 0.04% on that turnover meant roughly 44,000 USDT lost; in a market-making model, the effective spread cost falls at least to 0.02% - about 22,000 USDT.
Reduced to two lines, the contrast is obvious: before MM economics, +90k USDT of gross strategy profit turns into –64k (90k – 110k – 44k); under a market-making model, it turns into about +78k (90k – 22k + 10k). The difference between taker-heavy execution and a market-making setup on the same turnover is about 142k USDT per month. Strip away the labels and the picture is simple: the market view does not change - the role in the order book does.
Crypto-style Recycling: Why do traders reinvest and you still don’t?
Market-making income by itself solves nothing if the retained edge just sits in cash. Once fees stop leaking out of the system and part of execution starts coming back as saved spread or maker rebate, the next logical step is to redirect that capital into long-term accumulation instead of moving it in and out manually.
This approach is not unique to one venue: major exchanges already offer automated recurring-buy tools in one form or another - for example, Auto-Invest on Binance, Recurring Buy on OKX, or Recurring Buys on Kraken. WhiteBIT fits naturally into the same logic with Auto-Invest, which lets users automate purchases on a schedule and track performance inside the same ecosystem.
As an investor, this is the part I very much care about. If market-making economics allow a trader to retain more capital from execution, that retained edge can be recycled systematically rather than spent impulsively or left idle. In practice, part of the saved fees and spread can be routed into recurring BTC purchases on a predefined schedule.
The result is simple: even a month with five red candles in a row stops being just a drawdown story. Part of what would otherwise disappear into fees and spread can be turned into a steady accumulation flow - not because the market became easier, but because execution stopped wasting as much capital.
Instead of a conclusion
For me, February drives home one simple point: even if the market view is right, the result can still turn negative when liquidity is paid for like a retail taker instead of managed through market-making logic. In a setup like the one modeled above, the key question is no longer just “where will bitcoin go,” but “how much of the result is being lost to fees and spread - and why.”
The hidden tax of execution can be reduced, and part of what used to disappear into fees can stay inside the system as retained capital through maker flow and rebates. Once that edge is retained rather than wasted, it can be redirected into long-term accumulation - whether through recurring-buy tools in general or, in WhiteBIT’s case, through Auto-Invest inside the same ecosystem.
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