3 Game-Changing Questions You Could Ask of Your Trading Journal Data
Mike Smith
5/2/2023
•
0 min read
Share this post
Copy URL
In previous articles we have discussed in detail the merits of a trading journal in offering evidence for both: a. How well you are following a trading plan? b. How well your trading system is serving you? (assuming you are already following a trading plan) We have also outlined the importance of “closing the circle” and making sure you review journal data and action plan to make any amendments that would be of benefit.
If you are in the position that you have “jumped in” and made a trading a journal a reality in your trading, next level journaling aims to increase the quality of information, where you can optimise those things you are doing well and work on those things that need improvement. This, in essence, is all to do with asking the right questions of the information you have, so you can continue to make evidence-based judgements as to what type of trading suits you best. The reality is that no two traders are the same (even if using a similar system).
Your challenge is to find YOUR best approach that works for YOU. And subsequently, mirror this on an ongoing basis. Here are THREE potentially “game-changing” questions you could ask of your journal data which may give clues about “best fit” behaviour for you as an individual. #1 Which trading direction works for me?
There is no doubt that some traders have results that seem to be better going “long” and others trading “short”. The other possible outcome, of course, is that it doesn’t matter, and you perform equally as well irrespective of direction. Measuring the results of long versus short trades will give you this answer.
Let’s assume there is a noticeable difference. After obtaining this evidence your choices are twofold. The root cause of this may either be: a.
You have a simple aptitude for trading in a specific direction and so can mirror this with all future trading. b. It may be that your system works well for going in one direction and needs adjustment with the other. In this case, provided you are not comfortable sticking to (a) above then of course you have the evidence to refine that part of your system that appears to require adjustment. #2 Which timeframe works for me?
Similarly, we can look at whether specific timeframes work better for you as an individual trader. Questions about optimum timeframes are some of the most frequent that we receive on both ‘Inner Circle’ and the ‘First Steps courses. We have written about this topic before, the conclusion being that it is your individual circumstances that are most likely to dictate which timeframe works best for you.
Again, the power of a journal is that you can easily come to an answer, and so mirror that going forward (of course, this is dependent on you recording this as part of your journal process). #3 Which trading vehicle suits my trading style? Many of you reading this may be trading multiple vehicles e.g. Forex, Index CFDs, Share CFDs, commodities, options.
There are obvious differences not only in how these various instruments are priced but also influencing factors on how they move. Using a similar approach to the above, you can easily identify which vehicles are working for you. As with exploring trading direction the reason for this could be your characteristics as a trade or the robustness of your system in trading different vehicles.
So, the choices are the same - you can allocate a larger proportion (or even all) of your capital into trading the vehicle that produces better results or of course review and tweak the system for those vehicles with less desirable results. OK, so these are your three starting questions, that may help you find a trading style that is best fit for you. However, before we finish, it is worth offering a couple of additional pieces of guidance when doing an exercise such as this. a.
You need a critical mass of trades to make the data meaningful. (there is little evidence that can be gained from a couple of trades in any category). There is no definitive number to what this may be but logically perhaps 15-20 will suffice in the first instance. b. Compare like with like.
To make things meaningful you need to reduce the number of actors that may skew your results. As a start point it would make sense to: i. remove any trades where you clearly didn’t follow your plan, ii. Unless analysing #3 above it would seem logical to compare within one trading vehicle e.g. just your forex trades.
Finally, we would love to hear your feedback on journaling and how it has/has not worked for you (or even problems) you have had getting started. Drop a line a [email protected] with any feedback you would like to share.
By
Mike Smith
Mike Smith (MSc, PGdipEd)
Client Education and Training
The information provided is of general nature only and does not take into account your personal objectives, financial situations or needs. Before acting on any information provided, you should consider whether the information is suitable for you and your personal circumstances and if necessary, seek appropriate professional advice. All opinions, conclusions, forecasts or recommendations are reasonably held at the time of compilation but are subject to change without notice. Past performance is not an indication of future performance. Go Markets Pty Ltd, ABN 85 081 864 039, AFSL 254963 is a CFD issuer, and trading carries significant risks and is not suitable for everyone. You do not own or have any interest in the rights to the underlying assets. You should consider the appropriateness by reviewing our TMD, FSG, PDS and other CFD legal documents to ensure you understand the risks before you invest in CFDs. These documents are available here. Any references to Australian or international shares, sectors, indices, ETFs, crypto-related stocks or other instruments are provided for market commentary and watchlist purposes only and do not constitute a recommendation, offer or solicitation to buy, sell or hold any financial product or adopt any investment strategy. International markets may involve additional risks, including currency fluctuations, regulatory differences, market structure differences, reduced liquidity and higher volatility. Company-specific, sector-specific and macroeconomic risks may also affect performance.
Commentary on geopolitical developments, economic data, central bank decisions, earnings, policy changes and other global or financial market events is based on information available at the time of publication and may change without notice. Such events can lead to sudden market moves, price gaps, reduced liquidity, wider spreads and increased volatility, particularly in leveraged products such as CFDs. Forward-looking statements, expectations and scenario analysis are inherently uncertain and should not be relied on as guarantees of future market behaviour or outcomes.
Every time markets get jumpy, a three-letter acronym starts showing up in headlines and trading rooms. The VIX. You will see it called the fear gauge, the fear index, or just "vol." For newer traders, it can feel like an insider's number that everyone seems to track but few stop to explain.
For US retailers and consumer brands, the first hit is usually margin. Import costs rise before pricing power does. Companies can try to pass those costs on, but customers may resist higher prices, especially if household budgets are already stretched. Existing inventory can also soften the first blow, which means the initial earnings result may look manageable while the next one carries the real pressure.
Tariffs, earnings and the Asia versus US split | GO Markets
Same tariff. Different earnings hit.
That is the key split for traders watching this earnings season. The US side is mainly about margin timing. The Asia side is about demand sensitivity. Not every export sector carries the same level of US demand risk.
TL;DR
US companies may face margin pressure as tariffed inventory moves through earnings.
Asian exporters may face volume pressure if US buyers reduce orders.
The timing is different: US retailers may feel the impact later, while Asian exporters may see it earlier through weaker order books.
Textiles, apparel and basic consumer goods are likely more sensitive to US demand.
Semiconductors and AI hardware may be less directly exposed to US consumers, but still carry policy, capex and valuation risk.
The big picture
Tariffs are paid at the US border by importers. From there, the cost can move through the system in several ways: higher prices, weaker margins, lower supplier prices, lower demand or a mix of all four.
Research cited by the Kiel Institute and New York Fed suggests US buyers and businesses may be absorbing a significant share of the tariff burden. That matters because it changes where the earnings pressure shows up first.
For a US retailer, the problem is straightforward but uncomfortable. If the company raises prices, demand may weaken. If it absorbs the tariff cost, margins may compress. If it still has older inventory, the hit may not show up immediately.
For an Asian exporter, the pressure can arrive through a different channel. If US buyers become cautious, they may order less. The exporter may keep prices relatively stable, but factory utilisation falls, fixed costs are spread across fewer units and earnings pressure builds.
That is why this is not just a tariff story. It is an earnings timing story.
US companies: the margin problem
The US side of the tariff story is about cost absorption.
Retailers, apparel brands, consumer electronics sellers and appliance companies often rely on imported goods, components or packaging. When tariff costs rise, they may try to protect margins through price increases, supplier negotiations, sourcing changes or inventory management.
The challenge is that none of these are clean solutions.
Price increases can test consumer demand. Supplier negotiations may take time. Sourcing changes can be expensive or slow. Inventory timing can make the first result look better than the underlying cost trend.
This is why earnings calls matter. Management commentary around pricing actions, tariff mitigation, sourcing, vendor negotiations and inventory timing may reveal more than headline sales growth.
What to watch on the US side
These signals may provide useful context in upcoming earnings reports:
If margins hold while sales remain stable, companies may be managing the pressure. If sales rise but margins fall, tariff costs may not be passing through cleanly. If guidance becomes more cautious, the market may start pricing a delayed earnings impact.
Asian exporters: the volume problem
The Asia side is not always about exporters cutting prices.
In many categories, Asian suppliers operate in competitive global markets with limited pricing power. If US buyers reduce orders, exporters may feel the impact through lower volumes rather than lower unit prices.
That distinction matters.
A company can report stable prices and still face earnings pressure if factories are running below normal utilisation. Lower volumes can reduce operating leverage, delay capital expenditure and weaken guidance.
The highest-risk sectors are usually those most closely tied to US retail demand, seasonal buying cycles and low-margin production.
Which Asian sectors are most exposed?
1. Textiles and apparel +
Highest Sensitivity
Textiles and apparel are among the clearest examples of US demand exposure.
These exporters are often tied directly to US retail orders, private-label contracts and seasonal buying cycles. If US retailers turn cautious, orders can be delayed, reduced or cancelled relatively quickly.
Risk is higher because margins are often thin, production is labour-intensive and buyers may have more power in negotiations.
Relevant export markets: Vietnam, Bangladesh, India, Indonesia and parts of China.
2. Basic consumer goods +
High Sensitivity
This includes toys, household goods, furniture, simple appliances and other discretionary or semi-discretionary exports.
These categories are exposed when US retailers reduce inventory or when consumers pull back from non-essential spending. Tariffs can add pressure if buyers try to push costs back onto suppliers.
Relevant export markets: China, Vietnam, Thailand, Malaysia and Indonesia.
3. Electronics assembly +
Medium to High Sensitivity
Electronics assembly is more mixed.
Lower-end consumer electronics can be sensitive to US household demand. Higher-value components or enterprise-linked electronics may be more resilient, depending on end-market exposure.
This sector can also be harder to read because supply chains are complex. A company may look like a technology exporter, but its actual earnings sensitivity may still depend on US consumer replacement cycles.
Relevant export markets: China, Vietnam, Malaysia, Thailand, Taiwan and the Philippines.
4. Machinery and industrial goods +
Medium Sensitivity
Machinery is less directly tied to US consumer demand than apparel or household goods. The risk is more about business investment.
If US companies delay capital expenditure because tariff uncertainty rises, machinery orders may weaken. However, order books can provide some buffer, and specialised products may have more pricing power.
Relevant export markets: Japan, South Korea, China, Taiwan and Singapore.
5. Semiconductors +
Lower Direct Sensitivity
Semiconductors are less directly exposed to US retail demand than textiles or consumer goods. Demand is often tied to broader technology cycles, autos, industrials, cloud infrastructure and AI investment.
That does not make the sector risk-free. Tariffs, export controls, geopolitics and a weaker global capex cycle can still affect earnings expectations.
Relevant export markets: Taiwan, South Korea, Malaysia, Singapore and parts of China.
6. AI hardware and data-centre supply chains +
Lowest Direct Sensitivity
AI hardware is more tied to cloud capital expenditure and data-centre buildouts than day-to-day consumer spending.
The risk is different. It is less about US shoppers buying fewer goods and more about whether AI capex expectations remain realistic, whether policy restrictions expand and whether valuations already price in strong growth.
Relevant export markets: Taiwan, South Korea, Malaysia and advanced electronics supply-chain hubs.
A simple sector risk map
Sensitivity Analysis
Indicative Asian exporter sensitivity to US consumer demand
Note: This is a general framework only. Sensitivity may vary by company, customer mix, contract structure and end market exposure.
Why timing matters
The US and Asia timelines may not line up.
A US retailer may still be selling older inventory, so the tariff impact can be delayed. Margins may hold in one quarter, then weaken as new tariffed inventory becomes a larger share of the sales mix.
An Asian exporter may see the pressure earlier if US buyers reduce orders before the cost hit appears in US consumer prices.
That creates a split earnings map:
US side: delayed margin pressure.
Asia side: earlier volume pressure.
Policy side: tariff exemptions, pauses or escalations can change the setup quickly.
The mistake is assuming a clean and immediate tariff impact. A strong US retailer result does not automatically mean tariff pressure is gone. It may only mean older inventory is still flowing through. A stable Asian exporter margin does not automatically mean demand is healthy. Volumes may be weakening beneath the surface.
The trap in the earnings season
What to watch next
On the US side, gross margins, inventory commentary, same-store sales and second-half guidance may provide useful context.
On the Asia side, export volumes, factory utilisation, order backlogs, working capital and capital expenditure guidance may be more relevant.
Across both regions, tariff policy remains the swing factor. Exemptions, pauses or new restrictions could quickly change market expectations.
Sector charts may provide additional context on whether market pricing is aligning with the earnings narrative, but they should be read alongside company commentary and macro data from the economic calendar.
FAQ
Frequently asked questions
How do tariffs affect US companies and Asian exporters differently? +
Tariffs may affect US companies through margin pressure and Asian exporters through volume pressure. US companies may face higher import costs, while Asian exporters may face fewer orders from US buyers.
Which Asian export sectors are most exposed to US demand? +
Textiles, apparel and basic consumer goods are generally more exposed to US demand because they are closely tied to retail orders and consumer spending. Electronics assembly and machinery are moderately exposed, while semiconductors and AI hardware may be less directly exposed.
Why can tariff impacts show up later in retailer earnings? +
Retailers may still be selling older inventory purchased before tariffs applied. The impact may become more visible later as new tariffed inventory moves through sales and margins.
What should investors watch in tariff-related earnings reports? +
General signals include gross margins, inventory commentary, same-store sales, export volumes, factory utilisation, order backlogs and management commentary on pricing or sourcing.
Are semiconductors and AI hardware exposed to tariffs? +
They may be less directly exposed to US consumer demand, but they can still be affected by policy restrictions, export controls, global capex cycles and valuation expectations.
Bottom Line
The tariff story is no longer only about who pays. It is about where the earnings pressure shows up first.