市场资讯及洞察

在这个信息爆炸的时代，炒股早已不是拍脑袋做决定的年代。面对成千上万只股票，如何从中筛选出真正有潜力的标的，成了每个投资者绕不过去的问题。靠消息？靠感觉？这些方法或许偶尔奏效，但注定难以长期稳定。这时候，一个强大的工具——TradingView，能帮你大大提升效率。作为全球领先的图表分析平台，TradingView不仅有丰富的技术指标和图形工具，更内置了强大的股票筛选器（Stock Screener），帮助你用数据说话、用逻辑选股。本文将带你一步步了解如何在TradingView上进行科学的选股操作，让你从海量股票中，快速定位符合你策略的优质标的。目前GO Markets已正式支持TradingView交易功能，连接账户后即可直接在图表上下单，省时又高效。还没体验过？快来注册一个试试吧！首先，打开我们的Tradingview筛选器平台：https://cn.tradingview.com/screener/

在页面上方的筛选选项中，我们可以根据一系列技术指标和基本面指标来筛选股票，也可以按地区进行分类。例如，如果我们想筛选出所有美国市场中、过去一天涨幅超过5%的大盘股，只需在筛选器中分别设置“市场”为“美国”、“涨跌幅”大于5%、“市值”选择“大盘股”，即可快速获得符合条件的股票列表。

我们也可以设置更复杂的筛选条件，例如：如果我们希望找出近期在底部放量，且放量前处于下降趋势的个股，该如何操作？首先，可以设定两个基础条件，来判断股票是否处于下跌通道中：-股价小于等于50日简单移动平均线（SMA50），说明当前价格仍位于中期均线之下；-年初至今收益率为负，进一步确认这只股票今年整体处于下行趋势。

接下来，我们可以通过点击筛选器中的“+”号，添加成交量相关的条件。具体做法是：设定最近一天的成交量要高于过去30天平均成交量的100%，也就是至少放大一倍。通过这个条件，我们可以筛选出近期出现明显放量的个股。

综合以上三个筛选条件：1. 股价低于或等于50日均线，2. 年初至今收益为负，3. 最近一天成交量大于30日均量的两倍，我们就能精准筛选出当前底部放量、此前处于下跌趋势的个股列表：

总的来说，这种基于条件组合的选股方法，简单高效，远比我们逐一手动查找个股来得省时省力。在如今这个信息密集、交易节奏加快的量化时代，掌握一套快速、科学的选股流程，已经成为投资者的必备技能。很多时候，快人一步入场，就可能获得更理想的收益；而犹豫迟疑，往往就与机会擦肩而过。TradingView提供的股票筛选器，不仅逻辑清晰、设置灵活，而且可以帮助我们在庞大的市场中迅速定位潜力个股。希望这篇文章能帮你开启TradingView筛股的第一步，让你的投资更高效、更有依据。免责声明：GO Markets 分析师或外部发言人提供的信息基于其独立分析或个人经验。所表达的观点或交易风格仅代表其个人；并不代表 GO Markets 的观点或立场。联系方式：墨尔本 03 8658 0603悉尼 02 9188 0418中国地区(中文） 400 120 8537中国地区(英文） +248 4 671 903作者：Michael Miao | GO Markets 悉尼中文部

美股周一高开低走，最终三大指数涨跌不一，标普和纳指微幅收涨，道指小幅下挫。市场对本周将公布的经济数据与贸易政策走向保持高度敏感情绪。虽然欧美方面达成部分关税协议，但并未有效带动市场情绪上行，投资者显然更关注后续执行与实际落地情况。在对外政策上，有关关税、朝核、能源等多重议题仍在发酵。市场当前聚焦特朗普提出的全球关税参考区间（15%-20%）及中美新一轮沟通动向。同时，美国对外政策立场趋强，地缘因素对风险资产的压制作用依旧存在。在板块表现上，美股走势分化明显。AI概念持续升温，受AI大会推动，超微电脑单日上涨超10%，英伟达再度创出新高，特斯拉与AMD也延续反弹走势。相对而言，核能板块全线回调，前期强势的电力供应类股仅维持小幅波动。数字货币概念仍处于整理阶段，受短期利空与估值调整影响，相关个股延续上周弱势。不过市场情绪有望在后半周得到修复——以太坊基金会将于月底举办成立10周年庆典，美国也将首次发布数字资产政策报告，此外包括Coinbase、MSTR与Robinhood在内的财报预期普遍乐观，短线回调或为波段机会。宏观层面，美元强势回归。周一美元指数大涨逾1%，重返98平台，主要受益于本周GDP数据与相关利好预期。黄金受压，但仍企稳3300美元上方；油价显著反弹，恐慌指数小幅下滑。汇市方面，美元领涨主导本轮节奏，美日站稳148，具备进一步上行空间；澳元整体仍具韧性，兑美元稳定在0.65上方，对人民币则回落至4.68附近；美元兑人民币升破7.18，整体延续强势格局。整体来看，市场在七月最后一周进入关键观察期，投资者宜重点关注即将公布的宏观数据及科技巨头财报，同时对高估值资产保持审慎布局，等待更清晰的政策与趋势信号。免责声明：GO Markets 分析师或外部发言人提供的信息基于其独立分析或个人经验。所表达的观点或交易风格仅代表其个人；并不代表 GO Markets 的观点或立场。联系方式：墨尔本 03 8658 0603悉尼 02 9188 0418中国地区(中文） 400 120 8537中国地区(英文） +248 4 671 903作者：Xavier Zhang | GO Markets 高级分析师

The setup appears to be perfect. You convince yourself that this is the trade. You execute the order, and within minutes, what seemed like a likely winner becomes another painful lesson in market donation.This all-too-common scenario boils down to a fundamental flaw in human decision-making under pressure. When we experience strong emotions, whether from recent losses, FOMO, or overconfidence, making consistently good decisions becomes increasingly difficult.The solution is not the use of complex trading EAs or expensive analytical software, but a simple behavioural intervention. Let’s call it “The 5-Minute Rule”.

The 5-Minute Rule

The 5-Minute Rule is a tactic that acts as a cognitive “circuit breaker,” designed to interrupt potentially damaging emotional decision-making that may begin to take over from that which you had originally planned to do.Its implementation is easy. You set in stone that before entering any trade, you take your mandatory 5-minute pause away from trading platforms. When it is done, then you reassess the opportunity using predetermined criteria from your trading plan.This intervention can allow your mind to shift from a reactive state, caught up in the heat of market action, to more analytical processing.Note: If the prospect of leaving a potential opportunity for a full 5 minutes seems mad, try a shorter time (e.g., 3 minutes) – it is the principle rather than the exact number of minutes that is the key here.

The Science Behind Emotional Trading

When experiencing intense emotions, your mind has a tendency to trigger a “fight-or-flight response” that can bypass rational decision-making. This can create several cognitive distortions, which result in a trader moving away from what they have written in their plan.Here are a few of the more common cognitive distortions:

• Loss Aversion: Investors value gains and losses differently — the emotional impact from a loss is much more severe than from an equivalent gain.

• Overconfidence Bias: Overconfidence in ability can lead to emotional and reactionary trading decisions.

• Confirmation Bias: Traders seek information that supports entering a trade, while ignoring signals against it.

• Recency Bias: Recent losses feel more significant, driving decision-making more than historical data suggests.

The 5-minute pause allows your mind to regain control — restoring access to logical analysis and learned trading principles and planning.

Trading 24/5 Markets

The continuous nature of forex, commodity, crypto, and index CFD markets makes emotional discipline particularly crucial. Currency pairs often present multiple "perfect" setups throughout the day, making revenge trading after EUR/USD or GBP/JPY losses especially tempting. The 5-minute rule can be particularly valuable here as these markets typically offer sufficient liquidity, so genuine opportunities don't disappear within minutes.

Physiological Changes During Your 5-minute Pause

During primary and increasing emotional trading states, several measurable physiological changes occur that impair decision-making:

• Elevated cortisol levels potentially reduce memory formation and logical processing
• An increased heart rate decreases fine motor control and attention span
• Shallow breathing reduces oxygen flow to the brain
• Muscle tension creates physical discomfort that reinforces emotional distress

Research indicates that stress hormone levels begin stabilising and heart rate will return to your usual level within a few short minutes of removing acute stressors, and put you back in a potentially improved decision-making state.

Making Your 5-Minute Rule happen

The key to putting this into practice is self-awareness of your trading state. Asking yourself if any of the following are where you are now as you watch price action on the screen:

• Revenge Trading Psychology: The urge to "get even" with the market after a series of losses

• FOMO-Driven Urgency: Fear that missing immediate entry means missing the entire opportunity of a potential price mover

• Overconfidence: Desire to increase position sizes (and so risk) after winning streaks

• Frustration-Based Forcing trades: Attempting to create opportunities when none exist
• News-Reaction Trading: Impulsive responses to rapid market-moving prices after information release

Systematic Stages

There are four initial stages to managing this situation:

1. Recognition Stage: Identify your current emotional state through self-monitoring.
2. Acceptance stage: Accept that your urge for action may not be consistent with the plan, and it is okay to NOT take immediate action.
3. Separation Phase: During your allotted distance minutes, you should be focused on calm breathing and light movement, or perhaps engage in something unrelated to trading.
4. Reassessment Phase: Return to your screen and evaluate the opportunity using your predetermined criteria.

Post-Pause Evaluation Criteria

After your pause is completed, you should re-assess the opportunity against specific questions:

• Does this trade entry match my written trading rules?
• Is the position size I intend to take appropriate for my tolerable risk level?
• Do chart patterns and indicators support my trading idea?
• Does the potential profit justify the potential risk of loss?
• How does this trade fit within broader market conditions?

Measuring the Success of Your 5-Minute Rule

As with any intervention within your trading, it is critical to objectively measure its success. This provides evidence as to whether it works and gives some motivation to continue implementing it — even in the toughest trading situations.Track specific measurements to evaluate the rule's effectiveness on your key trading metrics:

• Win Rate Changes: Percentage of profitable trades before and after implementation
• Average Loss Size: Maximum risk per trade and drawdown periods
• Trade Frequency: Number of trades per time period

Also monitor subjective improvements in your overall trading experience:

• Stress Levels: Daily emotional state ratings both during and after trading
• Sleep Quality: Rest patterns on trading days
• Confidence: Self-assessed decision-making certainty. E.g., confidence in your plan.

The Compounding Effect of Emotional Control

The 5-Minute Rule's benefits may extend beyond trading outcomes in individual trades. Each successful pause strengthens your belief in what you are doing and how you are doing it, as your emotional regulation can become easier and more automatic. Over time, you may find they need the formal pause less frequently as their default response generally shifts from being reactive to analytical, and it is only in the most extreme situations where it is needed.It is a journey that takes time to master and a number of trades to begin to see the overall positive outcomes of adopting this within your trader’s toolbox.

Final Thoughts

The 5-Minute Rule represents a practical application of behavioural science to trading performance. It may be of benefit irrespective of the type of trader you are, the markets you trade, and the level of experience you have.It is a tactic related to a recognised physiological response to stress, where short-term emotional factors may have a significant effect on decision-making.Markets will always present opportunities, but emotional discipline to follow through on your plan is likely to help with long-term success. Think of it this way: if it makes no difference to your outcomes, then you have lost nothing, but if these 5 minutes of patience can place you in a better trading state, then mastering this could prevent years of potentially negative outcomes.

Most people think Nvidia got lucky with AI. They made chips that were good for gaming, and it turned out those same chips were good for machine learning.But that's not what happened at all…What actually happened reveals a fundamental misunderstanding of technology markets, and why investors often misread them.

Nvidia’s data center revenue flipped gaming in 2023

Why Markets Misread Platform Plays

Markets consistently undervalue platform investments while they're being made, then overvalue them once they succeed. Platform plays often appear to be terrible business decisions for years before they become obviously valuable.CUDA — Nvidia's software platform that made it possible to harness graphics card compute power for general-purpose usage — is the perfect example of this.When Nvidia was spending heavily on CUDA in the mid-2000s, the market saw it as an expensive distraction from its core graphics business.The investment made no sense. They were giving away free software to sell hardware, in an industry where hardware margins were already under pressure.Markets tend to price such technology investments through the lens of existing applications rather than potential ones. They can see the current build cost but fail to factor in the potential future value.

The Economics of Platform Capture

Technology markets have the somewhat unique capacity to shift from competing products to competing ecosystems.If this shift from product to ecosystem wars occurs, traditional competitive analysis can become almost useless.In a product market, a 10% advantage might translate to a 10% market share gain. In an ecosystem market, a 10% advantage can translate to a 90% market share, due to network effects and switching costs.This is why established companies with superior resources often lose to platform challengers. AMD and Intel both had as much (or more) money and engineering talent as Nvidia during its CUDA development years. But they were competing in the wrong game. They were optimizing for product performance while Nvidia was building ecosystem lock-in.

The Platform Investment Paradox

Platform investments create a paradox for public markets. The companies that make the biggest platform bets often see their stock prices suffer during the investment phase.Product investments have visible, measurable returns that markets can model. Platform investments have uncertain returns that depend on market timing and adoption patterns that are impossible to predict.This is why markets consistently undervalue platform companies during their growth phase. Traditional financial metrics capture the cost of platform investment but miss the value creation occurring in the ecosystem.By the time platform value becomes visible in financial results, the strategic opportunity has usually already passed. The companies that capture platform markets are typically those that invest before the value is measurable, not after it becomes obvious.

Nvidia’s 25-year Annual revenue growth - image by Motley Fool

Ecosystem Network Effect

Every developer who learns CUDA makes the Nvidia ecosystem more valuable. Every model trained on Nvidia infrastructure increases switching costs for the entire AI market.Gaining a competitive advantage in platform markets is more about ecosystem momentum than building superior products. The platform that attracts the most developers and creates the most applications becomes increasingly difficult to displace.Markets often misinterpret this momentum as a temporary competitive advantage rather than recognizing it as a structural shift in the market. They keep expecting "competition" to erode platform dominance, not realizing that successful platforms tend to make competition irrelevant.

What This Means for Market Analysis

The Nvidia pattern suggests that technology market analysis needs to focus more on ecosystem dynamics and less on product comparisons. The companies that will dominate the next wave of technology markets are likely building platforms today for applications that don't yet exist at scale.This requires looking beyond current revenue and margins to understand what infrastructure is being built for the future. The most important question isn't whether a company has the best current product, but whether they're creating the ecosystem that future applications will be built on.Of course, such companies are unlikely to achieve the heights of Nvidia, but the ones that find success will likely follow the same pattern — years of patient platform building followed by explosive ecosystem capture when the market inflection point arrives.Trade Nvidia and thousands of other Share CFDs on GO Markets — starting from just US$0.02 per share with no monthly data fee.

刚刚过去的周末，为全球市场带来了一记“定心丸”——欧美如期达成关税协议，欧盟做出妥协，接受15%的美方关税并承诺加大对美投资，至此，原本影响八月市场走势的不确定性大大缓解。当前，随着日本和欧盟的谈判取得进展，美国的全球贸易策略正逐步落地，其关税布局已完成主要环节。8月1日原定的关税调整窗口期临近，而目前市场普遍认为，即便届时个别谈判未能达成协议，美国也将按原计划执行相应税率，预计这类政策变化对整体市场影响已被充分计价。对于投资者而言，贸易风险暂时出清，意味着上半周市场情绪将维持相对稳定，资金面依旧积极。不过，本周依然是名副其实的“重磅数据周”。不仅迎来美联储利率决议、非农就业报告、核心PCE等关键经济指标，还将有多家科技与金融巨头发布财报，加之“稳定币监管法案”“大而美基础设施法案”等政策密集出台，市场后半段的波动将明显加剧。从趋势上看，上周标普和纳指继续刷新高点，即使个别财报表现平平，也并未削弱多头信心。本周非农数据若符合预期，反而可能进一步强化降息预期；而GDP数据若出现反弹，则将为美元提供新的支撑动力。目前市场已普遍接受短期内不降息的可能，美联储动向更可能影响未来利率路径的节奏，而非方向。大宗商品方面，美元预期上行使得黄金价格或面临阶段性回调压力；恐慌指数预计继续走低，油价短期将继续围绕目标价区间波动。汇市方面，非美货币预计持续承压，人民币及澳元兑美元存在一定回调风险，建议投资者留意本周后半段的市场节奏变化，提前做好防御性配置。联系方式：墨尔本 03 8658 0603悉尼 02 9188 0418中国地区(中文） 400 120 8537中国地区(英文） +248 4 671 903作者：Xavier Zhang | GO Markets 高级分析师

说起AI应用，我们最耳熟能详的无非是Chat GPT 和Google的Gemini，但是Meta也值得我们关注，它的Llama正在飞速追赶。那Meta能否再创Facebook的辉煌，在AI的盘子上分得一块大蛋糕呢？今天我们来拆解一下。2021年当时比较火的概念是虚拟世界，Facebook的广告业务面临时代变革，而后Facebook改名为Meta，Meta就是元宇宙的简称，可以看出扎克伯格是个勇于追赶时代步伐的改革派，当然虚拟世界最后不了了之，但有这种不甘落后的指挥官，Meta定不会被科技进步抛弃。再看现在的AI，Meta比OpenAI和Google起步晚了六年，而就当前AI 模型整体能力来看，Meta 的 Llama 4 系列相较于 OpenAI 的 GPT-4o 和 Google 的 Gemini 1.5 Pro，大概落后了两年。起步晚不要紧，知道加速追才是最重要的，为此Meta直接掏出了“科技界的闪电战”策略。什么是“科技界的闪电战”呢，简单讲就是天价挖人+开源。这两年Meta心想：“不行了，这AI圈我不能输！” 然后掏出支票本开始疯狂砸钱，把硅谷顶尖公司的人才几乎挖空了一半。这波操作堪称科技界的“钞能力大战”，被挖的大神们，拿着数千万甚至上亿美元的签约费，纷纷从OpenAI、Google、Apple这些大佬家“集体跑路”，奔向Meta怀抱。有人调侃：“Meta这哪是招人啊，简直是人手一本天价支票的抢人大赛！” 就这样，Meta迅速凑出了一支从语音聊天到视觉识别，从写代码到架构模型，连开源代码和端侧部署都一锅炖的大杂烩超级AI军团。这场挖角大戏还没播完，OpenAI和Google就已经哭晕在厕所门口了。而扎克伯格则在办公室里一边刷着员工入职通知，一边微笑表示：“有钱就是任性，我不是针对谁，我是说在座的各位AI公司，全都是弟弟。”。

而且OpenAI、Google 在模型上越来越保守封闭，就是怕别人抄他们的代码，而 Meta 反其道而行之，利用开源在技术社区形成口碑优势：“我们 Meta 不玩锁喉战术，大家都能上车。” 看起来是道德高地，收益满满。开源相当于 Meta 不用花一分钱工资，就多出了成千上万个“免费劳动力”，每天帮它优化模型、修Bug、写插件，成本远低于 OpenAI 和 Google 动辄几百亿美元的投入。这套战术打出来，Meta不和OpenAI、Google卷闭源赛道，舒舒服服做开源老大。开源闭源战法在很多行业都有例子，像手机操作系统的苹果和安卓，显卡领域的英伟达和AMD，后者不如前者起步早技术先进，但是利用开源的策略始终落后不了太多。而且Meta挖来了这么多AI人才，再利用自己开源下的追赶进度，直接推出一个高级闭源模型，形成开源（Llama）+闭源（Meta AI）组合拳，直接就有了正面硬刚OpenAI、Google的实力。总结：当前是个科技大爆发的时代，AI的浪潮中你方唱罢我登场，我们不能只紧盯行业龙头的那几个企业，也要看看龙头后面的追赶者，众多追赶者中总有一匹黑马值得我们青睐。Meta就算最后没能在大语言模型上赶超成功，它的这种不甘落后、绞尽脑汁追赶的态度，也能让它在AI这块蛋糕上啃下大大一口。免责声明：GO Markets 分析师或外部发言人提供的信息基于其独立分析或个人经验。所表达的观点或交易风格仅代表其个人；并不代表 GO Markets 的观点或立场。联系方式：墨尔本 03 8658 0603悉尼 02 9188 0418中国地区(中文） 400 120 8537中国地区(英文） +248 4 671 903作者：Mill Li | GO Markets 墨尔本中文部