Understand the Market Like a Puzzle: Decoding the Inner Logic of Liquidity, Spread, and Market Movement
Original Article by: TradeStream | Improve Your Trading
Original Article Translated by: DeepFlow Tech
Trading: If we choose to act in a place where most people are willing to trade based on common sense... then this may mean that we do not have more valuable information than others.
One Metaphor of Market Behavior: Jigsaw Puzzle
I like to use a jigsaw puzzle to describe market behavior. You can imagine the overall market as a person trying to complete a puzzle, with the trading volume being the puzzle pieces. The market will strive to put all the pieces together. By analyzing the distribution of trading volume, we can more clearly see where "pieces" are missing. When the market finds areas with more pieces (i.e., higher trading volume and time accumulation), it will try to allocate these pieces to areas with fewer pieces (i.e., lower trading volume and time).
How the Market Chooses Direction
Sometimes, when both sides of the market lack "pieces," how can we determine which side it will fill first?
This reminds me of a theory about human behavior in the book "Atomic Habits." In such situations, we need to focus on two key points:
Attraction: People usually hope that their actions will bring rewards, and the market is the same because it reflects human behavioral patterns. As we discussed earlier, we tend to avoid overly crowded trading scenarios, and a more attractive strategy is often trading against the majority of mispositioned participants, especially when we have clear structural reasons.
Reducing Resistance: According to the "law of least effort," the more effort something requires, the less likely it is to happen. If the resistance is too high, the difficulty of achieving our goal will also increase.
Another Metaphor of Market Behavior: Trolley Problem
Imagine the market as a train, and this train is like an "executioner" eager to "hunt." When we take action in the fair value area, both sides of the market are crowded with participants, making it difficult to predict which side the market will "hunt" more people. However, once the market chooses a side, the other side becomes the only choice, making our decision-making simpler.

What is Liquidity?
Liquidity refers to whether there are enough counterparties in the market to trade with. When we trade, we are either consuming liquidity or providing liquidity. If the price is stable in a certain area (i.e., a balance area) or unable to fluctuate smoothly, it is because buyers have not consumed enough liquidity; conversely, if the price can fluctuate smoothly, it means that buyers have successfully consumed enough liquidity.
Limit Order vs. Market Order
A limit order is a tool for "adding liquidity," while a market order is a tool for executing a trade and consuming this liquidity. Passive liquidity (limit orders) is often more impactful because limit orders typically determine market structure, while aggressive market orders will be absorbed at key points.
Why is a limit order more impactful? Because when you execute a market order, you need to cross the bid-ask spread, which means you will immediately be in an unrealized loss position after placing the order.
What is the Spread?
The spread is the difference between the asset's buy price (advertisement bid) and sell price (advertisement ask). Market makers provide liquidity through the spread, meaning the price to immediately buy an asset is usually slightly higher than the market price, while the price to immediately sell is slightly lower than the market price.

Let's assume an asset's current price is $10.00, and an asterisk (*) represents one contract. If we want to buy immediately, there is no $10.00 quote in the market because if there were, the market maker would not profit. Therefore, they would set the advertised liquidity slightly higher, for example, placing four contracts at $10.01 to capture this small difference.
If we decide to buy three contracts, we would transact at the $10.01 price. But what if we want to buy more, say 15 contracts? We would need to cross the spread until we find enough orders to fulfill the trade. As a result, the price would eventually be pushed to $10.03 because only at this price level are there enough contracts to meet our demand.

Through this example, we can understand why limit orders are usually more impactful. Small-scale traders have a negligible impact on the price as they will not encounter significant slippage. However, if someone wants to buy 500 contracts and there is not enough liquidity nearby, they will have to cross a significant spread, causing substantial price fluctuations.
If traders choose to place orders where liquidity is abundant, they can avoid significant slippage. So, where is liquidity usually concentrated? The answer is above swing highs and below swing lows. This is because most technical analysis-based traders exhibit similar behavior in setting stop-loss orders, and these locations are often where stop-losses cluster, making price reversals likely at these points.
So, their stop-loss is your entry point? Indeed.
Summary
· Impatient buyers or sellers are driving the price through market orders (taker), consuming liquidity.
· More patient buyers or sellers are preventing price fluctuations through limit orders (maker).
We can use a metaphor to describe this: market orders are like a hammer, while limit orders act as the floor or ceiling of a building. Breaking through the floor or ceiling requires sufficient hammer force to do so.

What happens when the floor is broken? The price quickly moves to the next floor.

Once the price reaches the next floor, upward movement becomes easier because the ceiling has been broken, creating a "gap" that allows the price to more easily fluctuate in areas of scarce liquidity.

Liquidity cascading is a very effective way to make money because at this point, we are trading with a price-insensitive group that is forced to transact (e.g., liquidated traders). But we need to be clear about what we are trading.
If you are trading liquidity premium, this effect is usually very short-lived, lasting a maximum of 10-15 seconds. In a cascading environment, this situation changes. In this case, you need to assess whether liquidity has fully recovered from the initial volatility.
Although the chain reaction of momentum shifts is not as reliable as liquidity premium, its sustainability is stronger (many people think they are trading liquidity premium when, in fact, they are trading this momentum effect).
The first method (liquidity premium) is more suitable for PNL attribution (i.e., analyzing the reason for making money) and is also the more ideal way to operate. The second method (momentum effect) captures the core part of large fluctuations but comes with greater volatility and looser risk control.
Overall, liquidity cascades lead to a supply-demand imbalance as a large number of price-insensitive traders enter, causing the order book to not withstand so many aggressive traders. But once the market stabilizes, the price will more easily return to those areas that failed to accumulate enough volume due to rapid fluctuations.
After all, the market is a two-way auction mechanism that usually tests low-volume areas for two reasons:
· There is less path resistance;
· The market seeks efficiency and will test these areas to see if anyone is willing to trade at those price levels.
As a result, the market will experience a "mechanical bounce back," as the order book needs time to rebalance. During this time, only a small amount of trading volume is needed to drive price fluctuations. Once the market settles, price movements will rely more on momentum, accompanied by increased volatility, but also allowing for greater profit potential.
Remember, high volatility often begets high volatility, while low volatility often begets low volatility, a phenomenon known as volatility clustering. Therefore, seize the opportunity and adjust your risk management strategy based on each change in market conditions.
You may also like

From x402 to MPP: Cloudflare's crucial vote, will it go to Coinbase or Stripe?

BlackRock CEO issues annual open letter: The wave of tokenization has arrived, and we will lead this trend

When Backpack backstabs the community

When gold is no longer a safe haven, and Bitcoin continues to panic

Trump, the World's Largest Oil Trader

If the US and Iran have not reached an agreement in 5 days, what other cards does Trump have?

Tether Whale Dumps £12 Million, Backing Crypto’s ‘British Trump’

Ethereum Foundation Post: Rethinking the Division of Work Between L1 and L2 to Build the Ultimate Ethereum Ecosystem

Two Major Prediction Market Platforms Unite Rarely, What Is the Story Behind This New Fund?

WEEX Official Product Launch: Win LALIGA Tickets & Unlock the 3-in-1 Crypto Trading Suite
Trade crypto without downloading an app. Join the WEEX H5, API, SKILLs livestream to explore the new trading experience, win LALIGA VIP tickets, and share 420 USDT rewards.

Dragonfly Partners: Most agents will not engage in autonomous trading, how can crypto payments prevail?

US AI Startup Goes All In on Chinese Mega-Model | Rewire News Morning Brief

Trump Lies Again: A "Five-Day Pause" Psyop, How Wall Street, Bitcoin, and Polymarket Insiders Synced Uposciogen

When a Token Becomes Labor, People Become the Interface

Ceasefire News Leaked Ahead of Time? Large Polymarket Bets on Outcome Before Trump's Tweet

BlackRock CEO's Annual Shareholder Letter: How is Wall Street Using AI to Keep Profiting from National Pension Funds?

Sun Valley Releases 2025 Financial Report: Bitcoin Mining Revenue Reaches $670 Million, Accelerating Transformation to AI Infrastructure Platform
On March 16, 2026, in Dallas, Texas, USA, CanGu Company (New York Stock Exchange code: CANG, hereinafter referred to as "CanGu" or the "Company") today announced its unaudited financial performance for the fourth quarter and full year ended December 31, 2025. As a btc-42">bitcoin mining enterprise relying on a globally operated layout and dedicated to building an integrated energy and AI computing power platform, CanGu is actively advancing its business transformation and infrastructure development.
• Financial Performance:
Total revenue for the full year 2025 was $688.1 million, with $179.5 million in the fourth quarter.
Bitcoin mining business revenue for the full year was $675.5 million, with $172.4 million in the fourth quarter.
Full-year adjusted EBITDA was $24.5 million, while the fourth quarter was -$156.3 million.
• Mining Operations and Costs:
A total of 6,594.6 bitcoins were mined throughout the year, averaging 18.07 bitcoins per day; of which 1,718.3 bitcoins were mined in the fourth quarter, averaging 18.68 bitcoins per day.
The average mining cost for the full year (excluding miner depreciation) was $79,707 per bitcoin, and for the fourth quarter, it was $84,552;
The all-in sustaining costs were $97,272 and $106,251 per bitcoin, respectively.
As of the end of December 2025, the company has cumulatively produced 7,528.4 bitcoins since entering the bitcoin mining business.
• Strategic Progress:
The company has completed the termination of the American Depositary Receipt (ADR) program and transitioned to a direct listing on the NYSE to enhance information transparency and align with its strategic direction, with a long-term goal of expanding its investor base.
CEO Paul Yu stated: "2025 marked the company's first full year as a bitcoin mining enterprise, characterized by rapid execution and structural reshaping. We completed a comprehensive adjustment of our asset system and established a globally distributed mining network. Additionally, the company introduced a new management team, further strengthening our capabilities and competitive advantage in the digital asset and energy infrastructure space. The completion of the NYSE direct listing and USD pricing also signifies our transformation into a global AI infrastructure company."
"As we enter 2026, the company will continue to optimize its balance sheet structure and enhance operational efficiency and cost resilience through adjustments to the miner portfolio. At the same time, we are advancing our strategic transformation into an AI infrastructure provider. Leveraging EcoHash, we will utilize our capabilities in scalable computing power and energy networks to provide cost-effective AI inference solutions. The relevant site transformations and product development are progressing simultaneously, and the company is well-positioned to sustain its execution in the new phase."
The company's Chief Financial Officer, Michael Zhang, stated: "By 2025, the company is expected to achieve significant revenue growth through its scaled mining operations. Despite recording a net loss of $452.8 million from ongoing operations, mainly due to one-time transformation costs and market-driven fair value adjustments, the company, from a financial perspective, will reduce its leverage, optimize its Bitcoin reserve strategy and liquidity management, introduce new capital to strengthen its financial position, and seize investment opportunities in high-potential areas such as AI infrastructure while navigating market volatility."
The total revenue for the fourth quarter was $1.795 billion. Of this, the Bitcoin mining business contributed $1.724 billion in revenue, generating 1,718.3 Bitcoins during the quarter. Revenue from the international automobile trading business was $4.8 million.
The total operating costs and expenses for the fourth quarter amounted to $4.56 billion, primarily attributed to expenses related to the Bitcoin mining business, as well as impairment of mining machines and fair value losses on Bitcoin collateral receivables.
This includes:
· Cost of Revenue (excluding depreciation): $1.553 billion
· Cost of Revenue (depreciation): $38.1 million
· Operating Expenses: $9.9 million (including related-party expenses of $1.1 million)
· Mining Machine Impairment Loss: $81.4 million
· Fair Value Loss on Bitcoin Collateral Receivables: $171.4 million
The operating loss for the fourth quarter was $276.6 million, a significant increase from a loss of $0.7 million in the same period of 2024, primarily due to the downward trend in Bitcoin prices.
The net loss from ongoing operations was $285 million, compared to a net profit of $2.4 million in the same period last year.
The adjusted EBITDA was -$156.3 million, compared to $2.4 million in the same period last year.
The total revenue for the full year was $6.881 billion. Of this, the revenue from the Bitcoin mining business was $6.755 billion, with a total output of 6,594.6 Bitcoins for the year. Revenue from the international automobile trading business was $9.8 million.
The total annual operating costs and expenses amount to $1.1 billion.
Specifically, they include:
· Revenue Cost (excluding depreciation): $543.3 million
· Revenue Cost (depreciation): $116.6 million
· Operating Expenses: $28.9 million (including related-party expenses of $1.1 million)
· Miner Impairment Loss: $338.3 million
· Bitcoin Collateral Receivable Fair Value Change Loss: $96.5 million
The full-year operating loss is $437.1 million. The continuing operations net loss is $452.8 million, while in 2024, there was a net profit of $4.8 million.
The 2025 non-GAAP adjusted net profit is $24.5 million (compared to $5.7 million in 2024). This measure does not include share-based compensation expenses; refer to "Use of Non-GAAP Financial Measures" for details.
As of December 31, 2025, the company's key assets and liabilities are as follows:
· Cash and Cash Equivalents: $41.2 million
· Bitcoin Collateral Receivable (Non-current, related party): $663.0 million
· Miner Net Value: $248.7 million
· Long-Term Debt (related party): $557.6 million
In February 2026, the company sold 4,451 bitcoins and repaid a portion of related-party long-term debt to reduce financial leverage and optimize the asset-liability structure.
As per the stock repurchase plan disclosed on March 13, 2025, as of December 31, 2025, the company had repurchased a total of 890,155 shares of Class A common stock for approximately $1.2 million.

