首先和大家简单阐述一下什么是摩尔定律。摩尔定律(Moore's Law)是在1965年由英特尔公司的联合创始人戈登·摩尔提出的观察结果，它预测了半导体集成电路的性能每18到24个月就会翻倍。这一预测在过去几十年中持续成立，使得计算机硬件性能以惊人的速度增长。那么在今年已经开始出现3nm的芯片消息，预计在明年年初将会投入使用，那么对标2020年底的5nm芯片，时间也正好对的上。那么和硬件能力息息相关的AI是不是也会完全遵守摩尔定律呢？这个问题目前来说众说纷纭。比较火热的就是之前OpenAI的 CEO Sam Altman在社交媒体上发布的一段话，AI的摩尔定律将要出现，称全球人工智能运算量每隔18个月翻一番。当然，以个人理性的判断来说，这个具体的数字并不是非常绝对的，因为AI的进步不仅仅只是取决于硬件或者说算力的进步，还是会包括但不限于算法的改进、数据可用性以及计算资源可用性的增加。这些因素都在推动AI的发展，但它们并不受摩尔定律的直接影响。因此，想要描述其AI的进步，可能会考虑的是数据的增长（比如网络数据的指数增长）和算法的改进（比如深度学习等技术的发展）。那么我们由此来简单剖析一下目前的AI训练的情况如何。在前几年，AI的训练还是会花费几天甚至是数周的时间，于是在数十亿的投资之后，各种新兴计算公司接踵而至，包括其中包括Cerebras Systems、Graphcore、Habana Labs以及SambaNova Systems等。此外，Google、Intel、Nvidia等已经建立的公司也进行了类似规模的内部投资。近期新版的MLPerf训练基准测试结果的出炉后，证明了这些投资是很值得的。自从MLPerf基准测试开始以来，AI训练性能的提升“显著超过了摩尔定律”，首先解释下什么是MLPerf。MLPerf是一个行业标准的基准测试，旨在为机器学习（Machine Learning）硬件、软件和服务提供公正、可比较的性能评估。
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Bitcoin rebounded 7% to touch $94,000 this week as two of the world's largest asset managers doubled down on their conviction that this cycle could break from crypto's boom-bust past.
BlackRock CEO Larry Fink and COO Rob Goldstein declared tokenisation "the next major evolution in market infrastructure,” comparing its potential to the introduction of electronic messaging systems in the 1970s.
Tokenised real-world assets have exploded from $7 billion to $24 billion in just one year, with certain projections expecting tokenised instruments to comprise 10-24% of portfolios by 2030.
Total RWA Value
Grayscale's latest research also put forward the case that this cycle will not follow Bitcoin’s predictable four-year pattern. Their analysis shows this cycle has had no parabolic price surge like previous cycles, and capital is flowing through regulated ETPs and corporate treasuries rather than retail speculation.
Grayscale has boldly predicted Bitcoin will reach new all-time highs next year based on this data, with near-term catalysts including a likely Federal Reserve rate cut and advancing crypto legislation.
AI Boom Creating a Memory Chip Supply Crisis
The AI revolution has had an unexpected ripple effect on conventional memory chips (DRAM).
Post-ChatGPT launch in 2022, chipmakers pivoted aggressively toward high-bandwidth memory (HBM) chips — the components that power AI data centres.
Samsung and SK Hynix, who control roughly 70% of the global DRAM market, transitioned large portions of their production away from conventional chips.
This worked in the short term, but data centre operators are now replacing old servers, and PC and smartphone sales have exceeded expectations (all of which require DRAM).
This saw DRAM supplier inventories fall to just two to four weeks in October, down from 13 to 17 weeks in late 2024.
DRAM spot prices nearly tripled in September this year, while in Tokyo's electronics district, popular gaming memory modules have surged from 17,000 yen to over 47,000 yen in recent weeks.
Google, Amazon, Microsoft, and Meta have all approached Micron with open-ended orders, agreeing to purchase whatever the company can deliver, regardless of price.
Samsung, Micron, and SK Hynix shares have rallied 96%, 168%, and 213% YTD, respectively, thanks to the increased DRAM demand.
Ironically, this recent price surge has seen DRAM chip margins approach those of the advanced HBM chips, meaning non-AI memory could now become equally profitable to produce.
Every trader has had that moment where a seemingly perfect trade goes astray.
You see a clean chart on the screen, showing a textbook candle pattern; it seems as though the market planets have aligned, and so you enthusiastically jump into your trade.
But before you even have time to indulge in a little self-praise at a job well done, the market does the opposite of what you expected, and your stop loss is triggered.
This common scenario, which we have all unfortunately experienced, raises the question: What separates these “almost” trades from the truly higher-probability setups?
The State of Alignment
A high-probability setup isn’t necessarily a single signal or chart pattern. It is the coming together of several factors in a way that can potentially increase the likelihood of a successful trade.
When combined, six interconnected layers can come together to form the full “anatomy” of a higher-probability trading setup:
Context
Structure
Confluence
Timing
Management
Psychology
When more of these factors are in place, the greater the (potential) probability your trade will behave as expected.
Market Context
When we explore market context, we are looking at the underlying background conditions that may help some trading ideas thrive, and contribute to others failing.
Regime Awareness
Every trading strategy you choose to create has a natural set of market circumstances that could be an optimum trading environment for that particular trading approach.
For example:
Trending regimes may favour momentum or breakout setups.
Ranging regimes may suit mean-reversion or bounce systems.
High-volatility regimes create opportunity but demand wider stops and quicker management.
Investing time considering the underlying market regime may help avoid the temptation to force a trending system into a sideways market.
Simply looking at the slope of a 50-period moving average or the width of a Bollinger Band can suggest what type of market is currently in play.
Sentiment Alignment
If risk sentiment shifts towards a specific (or a group) of related assets, the technical picture is more likely to change to match that.
For example, if the USD index is broadly strengthening as an underlying move, then looking for long trades in EURUSD setups may end up fighting headwinds.
Setting yourself some simple rules can help, as trading against a potential tidal wave of opposite price change in a related asset is not usually a strong foundation on which to base a trading decision.
Key Reference Zones
Context also means the location of the current price relative to levels or previous landmarks.
Some examples include:
Weekly highs/lows
Prior session ranges, e.g. the Asian high and low as we move into the European session
Major “round” psychological numbers (e.g., 1.10, 1000)
A long trading setup into these areas of market importance may result in an overhead resistance, or a short trade into a potential area of support may reduce the probability of a continuation of that price move before the trade even starts.
Market Structure
Structure is the visual rhythm of price that you may see on the chart. It involves the sequences of trader impulses and corrections that end up defining the overall direction and the likelihood of continuation:
Uptrend: Higher highs (HH) and higher lows (HL)
Downtrend: Lower highs (LH) and lower lows (LL)
Transition: Break in structure often followed by a retest of previous levels.
A pullback in an uptrend followed by renewed buying pressure over a previous price swing high point may well constitute a higher-probability buy than a random candle pattern in the middle of nowhere.
Compression and Expansion
Markets move through cycles of energy build-up and release. It is a reflection of the repositioning of asset holdings, subtle institutional accumulation, or a response to new information, and may all result in different, albeit temporary, broad price scenarios.
Compression: Evidenced by a tightening range, declining ATR, smaller candles, and so suggesting a period of indecision or exhaustion of a previous price move,
Expansion: Evidenced by a sudden breakout, larger candle bodies, and a volume spike, is suggestive of a move that is now underway.
A breakout that clears a liquidity zone often runs further, as ‘trapped’ traders may further fuel the move as they scramble to reposition.
A setup aligned with such liquidity flows may carry a higher probability than one trading directly into it.
Confluence
Confluence is the art of layering independent evidence to create a whole story. Think of it as a type of “market forensics” — each piece of confirmation evidence may offer a “better hand’ or further positive alignment for your idea.
There are three noteworthy types of confluence:
Technical Confluence – Multiple technical tools agree with your trading idea:
Moving average alignment (e.g., 20 EMA above 50 EMA) for a long trade
A Fibonacci retracement level is lining up with a previously identified support level.
Momentum is increasing on indicators such as the MACD.
Multi-Timeframe Confluence – Where a lower timeframe setup is consistent with a higher timeframe trend. If you have alignment of breakout evidence across multiple timeframes, any move will often be strengthened by different traders trading on different timeframes, all jumping into new trades together.
3. Volume Confluence – Any directional move, if supported by increasing volume, suggests higher levels of market participation. Whereas falling volume may be indicative of a lesser market enthusiasm for a particular price move.
Confluence is not about clutter on your chart. Adding indicators, e.g., three oscillators showing the same thing, may make your chart look like a work of art, but it offers little to your trading decision-making and may dilute action clarity.
Think of it this way: Confluence comes from having different dimensions of evidence and seeing them align. Price, time, momentum, and participation (which is evidenced by volume) can all contribute.
Timing & Execution
An alignment in context and structure can still fail to produce a desired outcome if your timing is not as it should be. Execution is where higher probability traders may separate themselves from hopeful ones.
Entry Timing
Confirmation: Wait for the candle to close beyond the structure or level. Avoid the temptation to try to jump in early on a premature breakout wick before the candle is mature.
Retests: If the price has retested and respected a breakout level, it may filter out some false breaks that we will often see.
Then act: Be patient for the setup to complete. Talking yourself out of a trade for the sake of just one more candle” confirmation may, over time, erode potential as you are repeatedly late into trades.
Session & Liquidity Windows
Markets breathe differently throughout the day as one session rolls into another. Each session's characteristics may suit different strategies.
For example:
London Open: Often has a volatility surge; Range breaks may work well.
New York Overlap: Often, we will see some continuation or reversal of morning trends.
Asian Session: A quieter session where mean-reversion or range trading approaches may do well
Trade Management
Managing the position well after entry can turn probability into realised profit, or if mismanaged, can result in losses compounding or giving back unrealised profit to the market.
Pre-defined Invalidation
Asking yourself before entry: “What would the market have to do to prove me wrong?” could be an approach worth trying.
This facilitates stops to be placed logically rather than emotionally. If a trade idea moves against your original thinking, based on a change to a state of unalignment, then considering exit would seem logical.
Scaling & Partial Exits
High-probability trade entries will still benefit from dynamic exit approaches that may involve partial position closes and adaptive trailing of your initial stop.
Trader Psychology
One of the most important and overlooked components of a higher-probability setup is you.
It is you who makes the choices to adopt these practices, and you who must battle the common trading “demons” of fear, impatience, and distorted expectation.
Let's be real, higher-probability trades are less common than many may lead you to believe.
Many traders destroy their potential to develop any trading edge by taking frequent low-probability setups out of a desire to be “in the market.”
It can take strength to be inactive for periods of time and exercise that patience for every box to be ticked in your plan before acting.
Measure “You” performance
Each trade you take becomes data and can provide invaluable feedback. You can only make a judgment of a planned strategy if you have followed it to the letter.
Discipline in execution can be your greatest ally or enemy in determining whether you ultimately achieve positive trading outcomes.
Bringing It All Together – The Setup Blueprint
Final Thoughts
Higher-probability setups are not found but are constructed methodically.
A trader who understands the “higher-probability anatomy” is less likely to chase trades or feel the need to always be in the market. They will see merit in ticking all the right boxes and then taking decisive action when it is time to do so.
It is now up to you to review what you have in place now, identify gaps that may exist, and commit to taking action!
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