“Crossing Volatility – How to Use AI and Structural Trading Models to Build a Stable Profitable System”

Good evening, everyone. I am Mark. You know that in the investment market, it is far from enough to rely on feelings or accidental judgment. The key to achieve stable profits in the long run comes from a mature, systematic and verifiable investment system.
In the future, I will share a core trading system that I have developed based on my extensive practical experience and the team’s hands-on experience. The system is divided into ten key topics, covering areas such as strategy design, risk management, capital flow tracking, and AI-assisted decision-making. Each section is a practical experience that our team has validated in real markets, making it actionable and replicable.
Focus Group I’m going to take you through the volatility, see the structure, and walk into a real profit model that’s really based on logic and data.

Volatility and the reconstruction of market structure cognition

In traditional financial theory, volatility is often regarded as a quantitative expression of risk. Tools such as standard deviation, Beta value and VaR are all designed to “control volatility”. However, in real market operation, volatility is not an enemy, but the most precious signal source for traders.
Especially in the current market environment, with frequent fluctuations of macro policies and intensified political intervention, market trends are getting shorter and faster, and the logic of “living by trends” becomes extremely unstable. Therefore, in order to survive in this structure, traders must shift from linear prediction to structural identification.
Core points:
The market is not a single line movement, but a complex behavior system;
Behind every price fluctuation, there is the result of changes in capital structure;
The real trading advantage is not in judging right or wrong, but in mastering the rhythm.
This is the first layer of meaning of crossing volatility. We do not avoid volatility, but stand on top of it and redefine market behavior with structured thinking.

The two pillars of the structural transaction model
The structural transaction model is a systematic approach that emphasizes verifiable logic, data-driven decision-making, and disciplined execution. It does not rely on intuition, chase hot spots, or make trend predictions, but focuses on three core dimensions:
How to identify market structure?
Structure recognition refers to the identification of transaction density and game position behind price behavior. We mainly focus on the following structural signals:
The way to construct key highs and lows is the peak area of trading volume and the accumulation area of chips
Whether the K line behavior resonates with the transaction structure
For example, before each major high point, Bitcoin often experiences a rebalancing zone between long and short volumes. This sideways period is a key window to observe the future structural direction.
Another focus is on rhythm and risk exposure management. Because structured trading is not a one-time bet, it is a rhythm management system over multiple time windows.
Using the sliding window method to group the trading rhythm (for example, the difference between the behavior of 20-day moving average and 5-day moving average);
Each transaction sets a structural protection area (such as holding if the structural low point is not broken); the position is dynamically adjusted, and no all-in bets are made to ensure that the maximum retracement is controllable; the standard of stopping trading is also part of the system, with safety first!
Of course, our technical team also designed the AI quantitative algorithm. Many people are curious about how AI can deeply participate in the process of trading decision and execution?
AI is not an automated trading machine, but an enhanced tool to help analysts identify opportunities and risks
By training tens of thousands of past high-success rate structures, the AI will determine the similarity and statistical advantage of current market behavior, such as:
Whether the current shock range has structural explosive characteristics; whether ETF capital behavior matches strong structure;
Whether there is such a complex behavior as the breakdown of the negative line in the structure but the main force does not retreat.
It will also give early warning of any changes
Funds suddenly outflow, but the currency price does not move, is liquidity hedging or retreat?
When the technical surface is favorable, the main force on the chain is doing UTXO batch movement. Is it a position adjustment or a reduction?
The AI will extract these signals from the high-frequency data, prompting our team to get ready in advance.
In addition, the strategy adaptation is provided. Each type of market (breakout, accumulation, rebound and fluctuation) in structural trading has different strategy ratios, which are very much in line with the current structure and historical profit model, and automatically recommend the optimal strategy combination.

Of course, in my view, the biggest issue in the current market is the loss of rhythm, which is why many people are incurring losses. Too many people panic and exit when prices fall, and rush to buy when prices rise. Moreover, ordinary investors rarely participate in ETF trading, often missing out on the market’s early stages because they lack the ability to monitor the market. Those who achieve stable profits are not necessarily the most accurate in their judgments, but those who maintain the best control over their trading rhythm.
And one of the core strengths of my system is that I don’t rely on predictions, I rely on reactions.
The biggest profits come from structure and discipline, not predictions
I only trade when the structure is in place, forgetting about trading at the top or bottom and so on. I only trade for opportunities where the structure is effectively confirmed.
Funds are allocated to spend risks on high win rate structures. Many partners know that I allocate trades based on the thinking of maximizing capital efficiency, rather than heavy positions when emotions are good. In addition, result management is set up well, and stop-loss and take-profit come from the structure and adjust positions according to the key points of the structure.
This is the systematic trading logic that I adhere to.
While my investment may not make you rich overnight, it is a market-tested, highly closed-loop profitable model from cognition to execution. I firmly believe that true long-term winners are not driven by luck but by a strategy system with clear structure, disciplined execution, and continuous optimization. Stabilizing in the face of volatility and maintaining a winning rate in uncertainty is not about predicting the future but about winning on the basis of sound logic.