3 Game-Changing Questions You Could Ask of Your Trading Journal Data
Mike Smith
5/2/2023
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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.
Here is the part many new traders miss. The VIX is not a prediction of where the market will go. It is a reading of how much movement the market expects in the near future. That distinction sounds small. It changes how the number should be used.
This Playbook breaks the VIX down for beginner to light-intermediate traders. Part 1 explains what it is and how it works. Part 2 turns that understanding into a practical, scenario-based process you can use to prepare, observe, and manage risk.
Before you look for a setup
Understand how this market actually behaves first. Use this guide as a starting point, then practise the concepts on charts, watchlists, and demo tools before applying them in live conditions.
Part 01
The 101 explainer
Build a clear, foundational understanding before you do anything else.
The basics
What is the VIX, in plain English
The VIX is the Cboe Volatility Index. It is a real-time index designed to measure the expected volatility of the S&P 500 over the next 30 days. It is calculated from the prices of S&P 500 index options.
Here is a simpler way to picture it. Imagine the options market is a giant insurance market for stocks. When traders are worried, they pay more for protection. When they are calm, that protection gets cheaper. The VIX takes those insurance prices and turns them into a single number.
The VIX is not a measure of what has happened. It is a measure of what option markets expect to happen, in terms of magnitude, not direction.
The VIX does not tell you whether the S&P 500 will go up or down. It tells you how much movement is being priced in.
The VIX is not directly tradable as a stock. Traders gain exposure through related products such as VIX futures, VIX options, and volatility-linked exchange-traded products.
The VIX has spiked during every major market stress event
Approximate monthly closing levels of the Cboe Volatility Index, 2007 to 2024
Illustrative
Source: Stylised representation based on publicly reported Cboe VIX historical data (Cboe Global Markets). Selected month-end values are indicative only and intended for educational illustration. The VIX peak of approximately 82 during March 2020 and the GFC peak above 80 in late 2008 are widely reported. Past performance is not an indication of future performance.
Why It Matters
Why the VIX matters to new traders
Even if you never plan to trade volatility directly, the VIX still matters. It is one of the cleanest reads on market sentiment available, and it tends to move in ways that reflect risk appetite across global markets.
When the VIX rises sharply, it often coincides with falls in equity indices, wider spreads in many CFD markets, and a flight to perceived safer assets such as the US dollar, gold, or government bonds. When the VIX is low and stable, conditions often favour trending behaviour and tighter spreads.
For CFD traders, this matters because leverage can magnify both gains and losses. Volatility is the engine behind both. A market that moves more in a day can offer more opportunity, but it also raises the risk of fast adverse moves, gaps around news, and stop-outs in thin liquidity.
Vocabulary
The key terms to know
You do not need to memorise every piece of options jargon to use the VIX. These are the terms that come up most often.
Implied volatility
The market's expectation of how much an asset will move in the future, derived from option prices. The VIX is built from implied volatility.
Realised volatility
How much the market actually moved over a past period. Useful for comparing expectations against reality.
S&P 500
The benchmark index of around 500 large US companies. The VIX is calculated from options on this index.
Mean reversion
The tendency of a series to return to its long-term average over time. The VIX is widely described as mean-reverting.
Contango
The normal shape of the VIX futures curve, where longer-dated contracts trade higher than the spot VIX. Why it matters: cost can eat into returns over time.
Backwardation
When longer-dated VIX futures trade below spot. Often short and accompanies fast-moving markets where fear is concentrated now.
Risk-on and risk-off
Shorthand for periods when investors are willing to take more risk, or pull back from riskier assets. VIX rises during risk-off.
Spread
The difference between the bid and ask price. Spreads on many CFD markets can widen during high-volatility events.
Liquidity
How easily an asset can be bought or sold without affecting its price. Liquidity tends to thin out around major news, which can amplify moves.
Mechanics
How it works in real market conditions
The VIX is not pulled out of a single price. It is calculated continuously throughout the US trading session from a wide range of S&P 500 index option prices, weighted by how close they are to current levels and how far out their expiries are.
The VIX tends to move inversely to the S&P 500 most of the time. When equities fall, demand for downside protection often rises, which pushes implied volatility higher. The relationship is not mechanical. There are days when both rise or fall together.
The VIX also tends to spike harder than it falls. Volatility can rise quickly when stress hits the system, then ease more gradually as conditions normalise. Up the elevator, down the escalator.
VIX and the S&P 500 typically move in opposite directions
Stylised illustration of the inverse relationship over a 12-month window
Illustrative
Source: Stylised illustration based on publicly available Cboe VIX and S&P 500 (S&P Dow Jones Indices) historical relationships. The depicted inverse correlation is widely documented in academic and industry research, although the strength of the relationship varies across regimes. Educational purposes only.
Most of the time, the VIX sits below 20
Approximate share of daily closes by VIX range, indicative long-run distribution
Illustrative
Source: Stylised distribution based on publicly reported Cboe VIX historical data spanning multiple decades. Buckets and percentages are indicative and intended for educational illustration. Distributions can shift across volatility regimes.
K
Market IntelligenceDon’t trade the average. Track the split.
Use GO Markets charts, alerts and watchlists to monitor how the K-shaped consumer theme connects with the VIX.
With the Iran conflict reshaping energy markets, central banks turning hawkish, and gold in freefall despite the chaos, the safe haven playbook in 2026 is more complicated than ever.
Quick facts
Gold has fallen more than 20% from its all-time high, despite an active war in the Middle East
The Singapore dollar is near its strongest level against the USD since October 2014
The Reserve Bank of Australia (RBA) hiked rates to 4.10% in March 2026 as Iran-driven oil prices push Australian inflation higher
1. Gold (XAU/USD)
Gold remains the most widely traded safe haven globally. It benefits from geopolitical stress, US dollar weakness, and negative real interest rate environments. However, its short-term behaviour in 2026 demands explanation.
Despite an active war in the Middle East, gold has sold off sharply. The likely cause is the Fed trimming its 2026 rate cut projections, citing hotter-than-expected producer inflation and Strait of Hormuz-driven oil prices creating inflation persistence.
Ultimately, gold's bull case rests on falling real yields and a weaker dollar, and right now neither condition is in place. Traders should be aware that during an inflationary supply shock like the one the Iran conflict has delivered, gold does not always behave as expected.
However, if you zoom out, the longer-term picture reinforces gold’s safe-haven status, ending 2025 as one of its strongest years on record.
Key variables to watch: US Federal Reserve guidance, real yields, and USD direction.
2. Japanese Yen (JPY)
The yen has long functioned as a safe-haven currency thanks to Japan's status as the world's largest net creditor nation. In times of stress, Japanese investors tend to repatriate capital, driving the yen higher.
However, that dynamic seems to have shifted in 2026 so far. The yen is down 6.63% YoY, near its weakest level since July 2024, and surging oil import costs are weighing on the currency.
The yen's safe-haven role has not disappeared, though. It tends to reassert itself during sharp equity selloffs and liquidity events. But in an oil-driven inflation shock, it faces structural headwinds.
Key variables to watch: BOJ rate decisions, US-Japan yield differentials, and any intervention signals from Japanese authorities.
3. Swiss Franc (CHF)
Switzerland's political neutrality, account surplus, and strong institutional framework make the franc a reflexive safe-haven currency. Unlike the yen, the CHF is holding up in the current environment, with the franc gaining against the dollar in 2026, and EUR/CHF remaining stable.
For traders across Europe and the Middle East, CHF is often the first port of call during stress events.
Key variables to watch: Swiss National Bank intervention language, European geopolitical developments, and global risk indices.
4. US Treasury Bonds (US10Y)
Under normal conditions, US government bonds are some of the deepest, most liquid safe-haven instruments in the world. But 2026 is not normal conditions…
Yields have been rising, not falling, meaning bond prices are moving in the wrong direction for anyone seeking safety.
When yields rise during a risk-off event, it signals the market is treating bonds as an inflation risk rather than a safety asset.
However, short-duration Treasuries like bills and 2-year notes are a different story. They may offer higher income with less duration risk than longer-dated bonds, which is why some investors use them more defensively in volatile periods.
Key variables to watch: Fed communication, CPI and PCE data, and whether the 10Y yield breaks above 4.50% or pulls back below 4.00%.
5. Australian Dollar vs. US Dollar (AUD/USD): inverse play
The Australian dollar is widely considered a risk-on currency, tied closely to global commodity demand and Chinese growth.
In risk-off environments, AUD/USD typically falls. A falling AUD/USD can serve as a leading indicator of broader global stress, which can be useful context for traders with regional exposure.
The RBA hiking cycle (two hikes since the start of 2026) is providing some floor under the AUD, but in a sustained global risk-off move, that support has limits.
Key variables to watch: RBA forward guidance, Chinese PMI data, iron ore prices, and oil's impact on Australian inflation expectations.
6. US Dollar Index (DXY)
The US dollar acts as the world's reserve currency and a reflexive safe haven during acute stress. When liquidity dries up, global demand for USD tends to spike regardless of the underlying trend.
Over the past 12 months, the dollar has lost ground as global confidence in US fiscal trajectory has wavered. But over the past month, it has firmed, supported by a hawkish Fed and elevated geopolitical risk.
In risk-off environments, the USD continues to attract safe-haven flows. However, rising oil prices can increase inflation risks, complicating Federal Reserve policy expectations.
Key variables to watch: Fed rate path, US inflation data, and global liquidity conditions.
7. Singapore Dollar (SGD)
Less discussed globally but highly relevant across Southeast Asia, the SGD is one of the most quietly resilient currencies in the current environment.
The Singapore dollar has advanced to near its highest level since October 2014, supported by safe haven flows and investors drawn to Singapore's AAA-rated bonds, a dividend-heavy stock market, and predictable government policies.
The MAS manages the SGD through a nominal effective exchange rate band rather than an interest rate, giving it a different character from other safe-haven currencies.
For traders with exposure to Indonesia, Malaysia, Thailand, Vietnam, and the broader ASEAN region, USD/SGD can act as a practical benchmark for regional risk appetite.
Key variables to watch: MAS policy band adjustments, regional trade flows, and USD/Asia dynamics more broadly.
8. Cash and Short-Duration Fixed Income
Sometimes, the most effective safe haven can be to simply reduce exposure. With central bank rates still elevated across major economies, cash and short-duration government bonds can offer a meaningful yield while sitting outside market risk.
The RBA raised the cash rate to 4.10% at its March meeting. The Bank of England held at 3.75%, while the ECB kept its deposit facility rate at 2.00% and main refinancing rate at 2.15%.Across all major economies, short-duration government paper is offering a real return for the first time in years.
In a volatile environment, capital preservation can sometimes matter more than return maximisation.
Key variables to watch: Central bank meeting calendars across all major economies, and any shifts in forward guidance on the rate path.
What to Watch Next
Fed inflation data. Core PCE is the single most important data point for gold, bonds, and the dollar right now. Any surprise in either direction could move all three simultaneously.
Yen intervention risk. The yen is near levels that have previously triggered action from Japanese authorities. Traders with Asia-Pacific exposure should monitor closely.
RBA's next move. With Australia now at 4.10% and inflation still above target, the question is whether the hiking cycle has further to run. The next RBA meeting is on 5 May.
Geopolitical trajectory. Any move toward de-escalation in the Middle East would quickly reduce safe haven demand and rotate capital back into risk assets. The reverse is equally true.
China's growth signal. A stronger-than-expected Chinese recovery could lift commodity currencies and reduce defensive positioning across Asia-Pacific.
The Longer-Term Lens
The 2026 environment is exposing that the effectiveness of safe haven assets depends on the type of shock, not just its severity.
An inflationary supply shock like the Iran conflict has delivered is one of the most difficult environments for traditional safe havens.
Gold falls as real yields rise. Bonds sell off as inflation expectations climb. Even the yen can weaken as Japan's import costs surge.
What has held up are assets with institutional credibility, managed frameworks, and deep liquidity regardless of macro conditions. The Swiss franc, Singapore dollar, and short-duration cash instruments fit that description better than gold or long bonds do right now.
In 2026, the question for traders is not "which safe haven?" It is "a safe haven from what?"
If you've spent any time looking at a trading terminal, you've seen it. A news headline breaks, a chart line snaps, and suddenly everyone is rushing for the same exit or the same entrance. It looks like chaos. In practice, it is often a chain of mechanical responses.
This matters for a couple of reasons. Many readers assume the story is the trade. It is not. The story, whether it is an interest rate decision, a supply shock or an earnings miss, is the fuel and the playbook is the engine.
Below are seven core strategies often used in contracts for difference (CFDs) trading. With CFDs, you are not buying the underlying asset. You are speculating on the change in value. That means a trader can take a long position if the price rises, or a short position if it falls.
Seven strategies to understand first
1. Trend following (the establishment play)
Trend following works on the idea that a market already in motion can remain in motion until it meets a clear structural obstacle. Some market participants view it as a chart-based approach because it focuses on the prevailing direction rather than trying to call an exact turning point.
The rationale: The aim is to identify a clear directional bias, such as higher highs and higher lows, and follow that momentum rather than position against it.
What traders look for: Exponential moving averages (EMAs), such as the 50-day or 200-day EMA, are commonly used to interpret trend strength, though indicators can produce false signals and are not reliable on their own.
Source: GO Markets | Educational example only.
How it works: The 50-period EMA can act as a dynamic support level that rises as price rises. In an uptrend, some traders watch for the market to make a new higher high (HH), then pull back towards the EMA before moving higher again. Each higher low (HL) may suggest buyers are still in control.
When price touches or comes close to the 50-period EMA during that pullback, some traders treat that area as a potential decision zone rather than assuming the trend will resume automatically.
What to watch: The sequence of HHs and HLs is part of the structural evidence of a trend. If that sequence breaks, for example if price falls below the previous HL, the trend may be weakening and the setup may no longer hold.
2. Range trading (the ping-pong play)
Markets can spend long stretches moving sideways. That creates a range, where buyers and sellers are in temporary balance. Range trading is built around this behaviour, focusing on moves near the bottom and top of an established range.
The rationale: Price moves between a floor, known as support, and a ceiling, known as resistance. Moves near those boundaries can help define the width of the range.
What traders look for: Some traders use oscillators such as the Relative Strength Index (RSI) to help judge whether the asset looks overbought or oversold near each boundary.
Source: GO Markets | Educational example only.
How it works: The support level is a price zone where buying interest has historically been strong enough to stop the market from falling further. The resistance level is where selling pressure has historically prevented further gains.
When price approaches support, some traders look for signs of a potential rebound. When it approaches resistance, they look for signs that momentum may be fading. RSI readings below 35 can suggest the market is oversold near support, while readings above 65 can suggest it is overbought near resistance.
What to watch: The main risk in range trading is a breakout, when price pushes decisively through either level with strong momentum. This may signal the start of a new trend and using a stop-loss just outside the range on each trade may help manage that risk.
3. Breakouts (the coiled spring play)
Eventually, every range comes under pressure. A breakout happens when the balance shifts and price pushes through support or resistance. Markets alternate between periods of low volatility, where price moves sideways in a tight range, and high-volatility bursts where price can make a larger directional move.
The rationale: Quiet consolidation can sometimes be followed by a broader expansion in volatility. The tighter the compression, the more energy may be stored for the next move.
What traders look for: Bollinger Bands are often used to interpret changes in volatility. When the bands tighten, a squeeze is forming. Some market participants view a move outside the bands as a sign that conditions may be changing.
Source: GO Markets | Educational example only.
How it works: Bollinger Bands consist of a middle line, the 20-period moving average, and 2 outer bands that expand or contract based on recent price volatility. When the bands narrow and come close together, the squeeze, the market has been unusually calm.
This is often described as a coiled spring. Energy may be building, and a sharper move can follow. Some traders treat the first move through an outer band as an early clue on direction, rather than a definitive signal on its own.
What to watch: Not every squeeze leads to a powerful breakout. A false breakout occurs when price briefly moves outside a band, then quickly reverses back inside. Waiting for the candle to close outside the band, rather than entering mid-candle, can reduce the risk of being caught in a false move.
4. News trading (the deviation play)
This is event-driven trading. The focus is on the gap between what the market expected and what the data or headline actually delivered. Economic data releases, such as inflation figures (CPI), employment reports and central bank decisions, can cause sharp, fast moves in financial markets.
The rationale: High-impact releases, such as inflation data or central bank decisions, can force a fast repricing of assets. The bigger the surprise relative to expectations, the larger the move may be.
What traders look for: Traders often use an economic calendar to track timing. Some focus on how the market behaves after the initial reaction, rather than treating the first move as definitive.
Source: GO Markets | Educational example only.
How it works: Before the news, price may move in a calm, tight range as traders wait. When the data is released, if the actual reading differs significantly from the consensus expectation, repricing can happen fast.
Gold, for example, may spike sharply on a CPI reading that comes in above expectations. However, the candle can also print a very long upper wick, meaning price reached the spike high but was then rejected strongly. Sellers may step in quickly, and price may retrace. This spike-and-retrace pattern is one of the more recognisable setups in news trading.
What to watch: The direction and size of the initial spike do not always tell the full story. Wick length can offer an important clue. A long wick may suggest the initial move was rejected, while shorter wicks after a data release may indicate a more sustained directional move.
5. Mean reversion (the rubber-band play)
Prices can sometimes move too far, too fast. Mean reversion is built on the idea that an overextended move may drift back towards its historical average, like a rubber band pulled too tight, then snapping back.
The rationale: This is a contrarian approach. It looks for stretches of optimism or pessimism that may not be sustainable, and positions for a return to equilibrium.
What traders look for: A common example is price moving well away from a 20-day moving average (MA) while RSI also reaches an extreme reading. In that setup, traders watch for a move back towards the mean rather than a continuation away from it.
Source: GO Markets | Educational example only.
How it works: The 20-period MA represents the market's recent average price. When price moves into an extreme zone, such as more than 3 standard deviations above or below that average, it has moved a long way from its recent trend.
An RSI above 70 can suggest the market is stretched to the upside, while below 30 can suggest the same to the downside. Some mean reversion traders use these combined signals as a sign that a pullback towards the 20-period MA may be possible, rather than assuming the move will continue to extend.
What to watch: Mean reversion strategies can carry significant risk in strongly trending markets. A market can remain extended for longer than expected, and a position entered against the short-term trend can generate large drawdowns. Position sizing and clear stop-losses are critical.
6. Psychological levels (the big figure play)
Markets are driven by people, and people tend to focus on round numbers. US$100, US$2,000 or parity at 1.000 on a currency pair can act as magnets. In financial markets, certain price levels can attract a disproportionate amount of buying and selling activity, not because of technical analysis alone, but because of human psychology.
The rationale: Large orders, stop-losses and take-profit levels can cluster around these big figures, which may reinforce support or resistance. This self-reinforcing behaviour is one reason these rejections can become meaningful for traders.
What traders look for: Traders often watch how price behaves as it approaches a round number. The market may hesitate, reject the level or break through it with momentum. Multiple wick rejections at the same level may carry more weight than a single one.
Source: GO Markets | Educational example only.
How it works: When price approaches a round number from below, some traders watch for long upper wicks, the thin vertical line above the candle body. A long upper wick means price reached that level, but sellers stepped in aggressively and pushed it back down before the candle closed.
One wick rejection may be notable. Three in a cluster may be more significant. Some traders use this accumulated rejection as part of the case for a short (sell) setup at that level.
What to watch: Psychological levels can also act as magnets in the opposite direction. If price breaks through with conviction, the level may then act as support. A decisive close above the level, rather than just a wick break, can be an early sign that the rejection setup is no longer holding.
7. Sector rotation (the economic season play)
This is a macro strategy. As the economic backdrop changes, capital may move from higher-growth sectors into more defensive ones, and back again. Not all parts of the sharemarket move in the same direction at the same time.
The rationale: In a slowing economy, discretionary spending may weaken while demand for essential services can remain more stable. Investors may rotate capital between sectors accordingly.
What traders look for: With CFDs, some traders express this view through relative strength, taking exposure to a stronger sector while reducing or offsetting exposure to a weaker one.
Source: GO Markets | Educational example only.
How it works: During a growth phase, when the economy is expanding, investors tend to prefer growth-oriented sectors like technology. As the economic environment shifts, perhaps due to rising interest rates, slowing earnings or increasing recession risk, a rotation point may emerge.
In the slowdown phase, the pattern can reverse. Technology may weaken while utilities may strengthen, as investors move capital into defensive, income-generating sectors. Early signals can include relative underperformance in growth sectors combined with unusual strength in defensives.
What to watch: Sector rotation is not usually an overnight event. It typically unfolds over weeks to months. Tracking the ratio between two sectors, often shown in a relative strength chart, can make this shift visible before it becomes obvious in absolute price terms.
Why risk management is the engine of survival
The headline move is one thing. The market implication for your account is another. If you do not manage the mechanics, the strategy does not matter.
Because CFDs are traded on margin, a small market move may have an outsized impact on the account. If leverage is too high, even a minor wobble may trigger a margin call or automatic position closure, depending on the provider's terms. This is not a theoretical risk. It is a common reason new traders lose more than they expected on a trade that was directionally correct.
The market does not always move in a straight line. Sometimes, price gaps from one level to another, especially after a weekend or major news event and in those conditions, a stop-loss may not be filled at the exact requested price. That is known as slippage. It is one reason large positions may carry additional risk into major announcements.
Bottom line
The vehicle is powerful, but the playbook is what helps keep you on the road.
The obvious trade is often already priced in. What matters more is understanding which market condition is in front of you. Is it trending, ranging, breaking out or simply reacting to a headline?
Readers assessing leveraged products often focus on position sizing, risk limits and product disclosure before deciding whether the product is appropriate for them. The headlines will keep changing. The maths of risk management does not.
Disclaimer: This article is general information only and is intended for educational purposes. It explains common trading concepts and market behaviours and does not constitute financial product advice, a recommendation, or a trading signal. Any examples are illustrative only and do not take into account your objectives, financial situation or needs. CFDs are complex, leveraged products that carry a high level of risk. Before acting, consider the PDS and TMD and whether trading CFDs is appropriate for you. Seek independent advice if needed. Past performance is not a reliable indicator of future results.
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.
Here is the part many new traders miss. The VIX is not a prediction of where the market will go. It is a reading of how much movement the market expects in the near future. That distinction sounds small. It changes how the number should be used.
This Playbook breaks the VIX down for beginner to light-intermediate traders. Part 1 explains what it is and how it works. Part 2 turns that understanding into a practical, scenario-based process you can use to prepare, observe, and manage risk.
Before you look for a setup
Understand how this market actually behaves first. Use this guide as a starting point, then practise the concepts on charts, watchlists, and demo tools before applying them in live conditions.
Part 01
The 101 explainer
Build a clear, foundational understanding before you do anything else.
The basics
What is the VIX, in plain English
The VIX is the Cboe Volatility Index. It is a real-time index designed to measure the expected volatility of the S&P 500 over the next 30 days. It is calculated from the prices of S&P 500 index options.
Here is a simpler way to picture it. Imagine the options market is a giant insurance market for stocks. When traders are worried, they pay more for protection. When they are calm, that protection gets cheaper. The VIX takes those insurance prices and turns them into a single number.
The VIX is not a measure of what has happened. It is a measure of what option markets expect to happen, in terms of magnitude, not direction.
The VIX does not tell you whether the S&P 500 will go up or down. It tells you how much movement is being priced in.
The VIX is not directly tradable as a stock. Traders gain exposure through related products such as VIX futures, VIX options, and volatility-linked exchange-traded products.
The VIX has spiked during every major market stress event
Approximate monthly closing levels of the Cboe Volatility Index, 2007 to 2024
Illustrative
Source: Stylised representation based on publicly reported Cboe VIX historical data (Cboe Global Markets). Selected month-end values are indicative only and intended for educational illustration. The VIX peak of approximately 82 during March 2020 and the GFC peak above 80 in late 2008 are widely reported. Past performance is not an indication of future performance.
Why It Matters
Why the VIX matters to new traders
Even if you never plan to trade volatility directly, the VIX still matters. It is one of the cleanest reads on market sentiment available, and it tends to move in ways that reflect risk appetite across global markets.
When the VIX rises sharply, it often coincides with falls in equity indices, wider spreads in many CFD markets, and a flight to perceived safer assets such as the US dollar, gold, or government bonds. When the VIX is low and stable, conditions often favour trending behaviour and tighter spreads.
For CFD traders, this matters because leverage can magnify both gains and losses. Volatility is the engine behind both. A market that moves more in a day can offer more opportunity, but it also raises the risk of fast adverse moves, gaps around news, and stop-outs in thin liquidity.
Vocabulary
The key terms to know
You do not need to memorise every piece of options jargon to use the VIX. These are the terms that come up most often.
Implied volatility
The market's expectation of how much an asset will move in the future, derived from option prices. The VIX is built from implied volatility.
Realised volatility
How much the market actually moved over a past period. Useful for comparing expectations against reality.
S&P 500
The benchmark index of around 500 large US companies. The VIX is calculated from options on this index.
Mean reversion
The tendency of a series to return to its long-term average over time. The VIX is widely described as mean-reverting.
Contango
The normal shape of the VIX futures curve, where longer-dated contracts trade higher than the spot VIX. Why it matters: cost can eat into returns over time.
Backwardation
When longer-dated VIX futures trade below spot. Often short and accompanies fast-moving markets where fear is concentrated now.
Risk-on and risk-off
Shorthand for periods when investors are willing to take more risk, or pull back from riskier assets. VIX rises during risk-off.
Spread
The difference between the bid and ask price. Spreads on many CFD markets can widen during high-volatility events.
Liquidity
How easily an asset can be bought or sold without affecting its price. Liquidity tends to thin out around major news, which can amplify moves.
Mechanics
How it works in real market conditions
The VIX is not pulled out of a single price. It is calculated continuously throughout the US trading session from a wide range of S&P 500 index option prices, weighted by how close they are to current levels and how far out their expiries are.
The VIX tends to move inversely to the S&P 500 most of the time. When equities fall, demand for downside protection often rises, which pushes implied volatility higher. The relationship is not mechanical. There are days when both rise or fall together.
The VIX also tends to spike harder than it falls. Volatility can rise quickly when stress hits the system, then ease more gradually as conditions normalise. Up the elevator, down the escalator.
VIX and the S&P 500 typically move in opposite directions
Stylised illustration of the inverse relationship over a 12-month window
Illustrative
Source: Stylised illustration based on publicly available Cboe VIX and S&P 500 (S&P Dow Jones Indices) historical relationships. The depicted inverse correlation is widely documented in academic and industry research, although the strength of the relationship varies across regimes. Educational purposes only.
Most of the time, the VIX sits below 20
Approximate share of daily closes by VIX range, indicative long-run distribution
Illustrative
Source: Stylised distribution based on publicly reported Cboe VIX historical data spanning multiple decades. Buckets and percentages are indicative and intended for educational illustration. Distributions can shift across volatility regimes.
K
Market IntelligenceDon’t trade the average. Track the split.
Use GO Markets charts, alerts and watchlists to monitor how the K-shaped consumer theme connects with the VIX.
The “resilient consumer” line being recycled across earnings calls is doing a lot of work. Index-level data helps it along. Headline retail sales hold. Spending looks firm. Stop reading there and the story looks simple.
But it is not.
Underneath sits a split-screen economy, the K-shape, where one consumer is carried by asset wealth, US large-cap exposure and the AI rally, while another is stuck with the less glamorous arithmetic of petrol, credit card minimums and a car loan that gets harder to service with each statement.
For CFD traders, the average is the problem. What matters is which side of the K a stock, sector or currency pair is exposed to, because that is where margins, earnings guidance, single-stock CFDs, index performance, commodities and FX may start telling a more divided story.
The big "K"
The "K" is just a chart shape. One arm angles up. The other angles down. Apply that shape to households and you get a workable model of who is benefiting from the current cycle, and who is being squeezed by it.
The upper arm, where asset wealth is doing the heavy liftingCONTINUE READING
The upper arm is asset-rich. These households own homes, hold the bulk of equity exposure and have benefited from the AI-linked rally in US large-cap equities. Net worth has been rising faster than inflation, which means their spending may be less price-sensitive and less reliant on borrowing. Roughly 87 per cent of all US equities sit with the top 10 per cent of households and that concentration matters when markets rally, because the wealth effect lands in fewer pockets than people assume.
The K-shaped consumer
One economy, two very different households
Upper arm
Wealth is still growing
+28%
US equity wealth, 12 months
Growth: Big Tech and AI stocks have helped wealth grow
Spending: Higher earners are still spending freely
Demand: Luxury and travel demand remain strong
Lower arm
Budgets are under pressure
2010
Auto loan stress near post-GFC highs
Prices: Much higher than levels seen in 2021
Credit: Card stress is rising across households
Timing: Pressure builds before headline data updates
Bull case Rate cuts may give some relief
Caution Stress could weaken broader spending
Disclaimer: This graphic is for general informational purposes only and presents scenario-based commentary, not financial advice or a recommendation to buy, sell or hold any security or financial product. References to equity wealth growth, auto-loan stress, household credit conditions and consumer spending are based on available Federal Reserve and New York Fed data as at May 2026 and may be revised. Historical comparisons and market performance, including AI-related equity gains, are not reliable indicators of future outcomes. Actual consumer, market and economic conditions may differ materially from those implied by the “Bull Case” or “Caution” scenarios.
The lower arm, where pressure shows up first
The lower arm tells a different story. With official US inflation still around 3.7 per cent, lower-income earners are spending more on essentials and falling back on credit. Auto loan delinquencies have climbed to their highest level since 2010.
That is not a recession signal on its own. It is a strain signal. And because strain rarely stays neatly contained, it can start to show up in the spending mix before it shows up in the headline data.
The clue markets cannot ignore
The punchline is this: the top 20 per cent of US earners now account for more than 60 per cent of total retail spend. Once you internalise that, a lot of consumer-stock charts start to make more sense.
USD IN FOCUS
Manage your catalysts
Prepare for upcoming events and review your approach before trading.
The split is not new, after all markets have seen versions of this before, because every few cycles, the same uncomfortable pattern comes back into view: one part of the consumer economy keeps moving, while another starts to drag.
Continue reading
Same K-shape,
faster upper arm
The K-shape is not new. What is different in 2026 is the speed and concentration of the upper arm. AI-linked equity wealth has supercharged the asset-rich consumer faster than in any earlier dispersion cycles.
~35%
~40%
~43%
~49%
01 · Dot-com Era
First sustained dispersion
Top 5 per cent income growth ran 4.1 per cent a year. Equity ownership began to concentrate significantly, marking the first modern iteration of the split.
02 · Post-GFC
Highly concentrated recovery
Around 95 per cent of recovery gains went to the top 1 per cent. The bottom 80 per cent of wealth holders lost 39 per cent. Stocks rebounded aggressively while housing remained stagnant.
03 · COVID Rebound
The Stimulus Buffer
Stimulus briefly narrowed the K-shape. However, the subsequent equity surge saw the top 10 per cent capture roughly 90 per cent of all corporate equity gains.
04 · AI-Led Cycle
Accelerated Verticality
The top 10 per cent now drives about 49 per cent of total consumer spending—the highest share since 1989. AI-linked equities have structurally accelerated the upper arm at record speed.
Sources: Moody’s Analytics review of Federal Reserve data via Bloomberg, Sept 2025. Pew Research Center. IMF Finance & Development. Federal Reserve FEDS Notes.
Why the K-shape matters for CFDs
Aggregate data, such as headline retail sales, total consumer credit and broad index moves, averages everyone together. In a single-consumer economy, that average is useful but in a K-shaped economy, the average can mislead. What matters is which side of the K a company sits on and whether the price reflects that.
How the K reaches your screen
Step 01
Customer mix splits
Upper and lower arms spend differently.
➔
Step 02
Earnings diverge
Margins, guidance, and credit profiles split.
➔
Step 03
CFDs reprice
Where the trader sees the move on platform.
A simplified transmission view. Real-world price moves reflect many overlapping macroeconomic drivers.
Continue reading
That changes the way three things behave.
1. Dispersion: Two stocks in the same sector can post very different earnings depending on who their customer is. An index move can mask that. A single-stock CFD does not. A luxury retailer and a value retailer may both sit inside the consumer universe, but they are not trading the same household balance sheet. A premium travel name and a budget operator may both report on travel demand, but the customer mix can make the earnings story very different.
For traders, the sector label is only the first layer. The customer base is the second.
2. Margin pressure: Companies serving the lower arm may be increasingly forced to discount. PepsiCo, for example, has cut prices on certain snack lines by around 15 per cent. Margin compression at the bottom often does not show up in headline beats. It can show up later in guidance.
That is where CFD traders need to be careful with the first read. A company can beat revenue expectations and still guide cautiously if it had to protect volume with promotions, price cuts or weaker margins.
3. Credit signals: Big banks publish their own K-shaped commentary every quarter. JPMorgan’s recent quarterly update flagged that higher-income borrowers are holding up while lower-income cohorts are showing more strain in credit card charge-offs. JPMorgan reported managed revenue of US$50.5 billion in its most recent quarter. The headline is one thing. The K-shaped colour commentary inside the release is another.
That kind of language has, in past cycles, preceded a wider repricing of consumer-facing names. It does not guarantee one this time.
CFD sector examples
One way to analyse the K-consumer theme is to compare companies in pairs rather than looking only at single names. This is not about deciding which stock is good or bad. It is an illustrative way to compare how different customer bases may influence market commentary and price behaviour.
Source attribution and disclaimer: Data and examples are drawn from S&P Global Market Intelligence, Federal Reserve Distributional Financial Accounts, ASX company announcements, RBA household credit data, PepsiCo’s February 2026 strategic update and Wesfarmers’ 2026 half-year results. Companies are categorised by their primary revenue-generating demographic based on recent annual reporting. The “CFD Trader’s Watchlist” is provided for general information and educational commentary only. Company names are used to illustrate the “K-shaped consumer” theme and are not financial advice, a recommendation, or a solicitation to buy, sell or hold any security, CFD, derivative or other financial product.
How the split reaches APAC screens
For Australian CFD traders, the K-consumer theme can reach local screens through three channels the US names alone do not capture:
1. Direct ASX read-throughs
The APAC tab in the watchlist maps the K onto Australian consumer names. Wesfarmers does most of the heavy lifting, because Kmart and Bunnings sit on opposite arms of the same business. Endeavour and Coles play discretionary against defensive in staples. Flight Centre and Webjet do the same in travel. Macquarie and Latitude split the credit story.
2. The China-luxury feedback loop
The upper arm is not only a US story. LVMH, Hermès and Richemont sit downstream of the high-end Chinese consumer. A softer luxury read in Asia can move broader risk appetite, mining sentiment and AUD/USD before it shows up in US data, which is why luxury can be an early signal.
3. AUD/USD as the macro carrier
A stretched US lower arm may push the Federal Reserve toward a more dovish stance. That could pressure the US dollar and support AUD/USD, depending on commodity sentiment and the RBA. The K-consumer story is not always a retail story. Sometimes it shows up in FX first.
Forward outlook
How the theme could play out
Base
Bank charge-off rates and discretionary retailer guidance start to confirm or unwind the dispersion narrative.
Upside
AI-linked equity gains keep feeding the wealth effect at the top end.
Downside
The next consumer credit report shows further deterioration in lower-income cohorts.
Watch list
Fed commentary on financial conditions, US consumer credit prints, bank earnings language and ASX consumer names.
Base
The K persists into mid-year, with broad indices continuing to mask it.
Upside
Rate cuts begin lifting both arms unevenly, with rate-sensitive, lower-income households getting some relief.
Downside
A sustained Brent move above US$120 pressures mid-tier discretionary spend and forces earnings downgrades.
Watch list
Fed dot plot revisions, oil supply shocks, retailer guidance, China luxury demand, AUD/USD and mining sentiment.
Scenario disclaimer: The “Next 30 days” and “Next 3 months” scenarios are illustrative “what-if” models for stress-testing a market thesis and identifying potential catalysts. They are not a house view, forecast, guarantee, or prediction of future market movement. Any Brent price targets, Fed policy references, or other market benchmarks are hypothetical only.
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Failure paths
Where the framework could break
Upper-arm reversal
If the AI rally rolls over, upper-arm spending could weaken faster than the data has suggested.
China factor
Luxury demand can weaken if China's high-end consumer slows.
Energy reversal
If energy prices fall rather than spike, the lower-arm squeeze eases and the dispersion trade unwinds.
AUD/USD divergence
AUD/USD can move against expectations if commodity prices fall or the RBA deviates from global policy paths.
Already priced in
By the time a theme is widely discussed, much of the move may already be priced into the instruments.
Execution
CFDs are leveraged. Wider dispersion can mean larger gap risk around earnings and tighter conditions for stop placement.
General information only. Scenarios are illustrative. Real-world conditions are subject to volatility and unforeseen shifts.
The bottom line
The K is not a forecast. It is a lens. It forces the question headline data ignores: whose consumer am I actually trading?
For CFD traders, answering that can be the difference between an index move and a single-stock CFD that tells the opposite story.
The next test is threefold:
Earnings: Does upper-arm demand hold as luxury and tech reports land?
Energy: Does Brent stay contained below US$90, or does a spike further squeeze the lower-arm budget?
Credit: Does bank commentary continue to flag the income split JPMorgan called out this quarter?
The work is not to predict the break. It is to decide your response before it happens. By the time the headline lands, the price, and the opportunity, may have already moved.
Next week: Tesla, AI infrastructure and how the same dispersion logic plays out one layer up the stack.
Make your next move count
Stay sharp with watchlists, charts and alerts as conditions change.
This afternoon, the Reserve Bank of Australia (RBA) did what plenty of forecasters had pencilled in, but few quite believed would actually arrive. It lifted the official cash rate by another 25 basis points (bps) to 4.35 per cent.
Across the water in Tokyo, the Bank of Japan (BOJ) is still sitting at 0.75 per cent, with Governor Ueda fielding three dissenting board members and asking everyone to be patient.
That leaves the interest rate gap between Sydney and Tokyo at 360 bps, the widest it has been in this cycle. And that gap is not just an economic footnote. It is the fuel behind one of the world’s most popular, and most accident-prone, trades in currency markets: the Yen carry trade.
This is where the story gets interesting.
Quick refresher: what is a carry trade?
A carry trade is when investors borrow money in a country with very low interest rates and park it in a country with higher ones. The Japanese yen has been the world’s favourite borrowing currency for years, mostly because Japanese rates were pinned near zero for a generation.
Borrow yen at 0.75 per cent, buy Australian dollars yielding 4.35 per cent, and investors may collect the difference. When the AUD is stable or rising, the trade can look wonderfully simple. When it turns, it can become brutally complicated.
That is the mechanism and now... to put it on a chart.
Policy rate paths: RBA vs BOJ (Nov 2025 to May 2026)
RBA cash rateBOJ policy rate
The RBA has resumed hiking while the BOJ has held since January, leaving the gap between the two cash rates at its widest point of the current cycle. This divergence remains a fundamental driver for AUD/JPY carry trade dynamics.
You can see why traders are paying attention. The green line keeps stepping up. The dashed line has gone flat since January. That fan-out is the story in one picture.
But the chart only tells half of it. The other half is why these two central banks have ended up in such different places.
Two banks, two different problems
The RBA is not raising rates because the economy is humming along, rather, it is raising them because petrol has crossed 240 cents a litre and Governor Bullock has decided imported energy inflation cannot be ignored.
The BOJ, meanwhile, would dearly like to hike to defend a yen flirting with the 160 mark against the US dollar. The problem is that it is also wary of upsetting a Nikkei 225 sitting near record highs around 60,000.
So the BOJ waits, the RBA acts, and AUD/JPY becomes one of the cleaner expressions of the gap.
The headline divergence is one thing. The carry now on offer is where things start to bite.
RBA minus BOJ rate spread (basis points)
Rate SpreadCycle High
The carry available to a long AUD, short JPY position has widened by 50 basis points in six months. This structural divergence creates one of the most significant yield-seeking opportunities in G10 currency pairs heading into mid-2026.
A 50 bps widening in six months is not small. It changes how attractive the trade looks on a yield basis. More importantly, it changes how many traders may be sitting in the same position.
And crowded trades have a habit of looking calm right up until they do not.
Why the CFD angle matters
This is not just a macro story sitting on a central bank noticeboard. It can show up directly in the prices on a CFD trader’s screen, and it may change how several common instruments behave at once.
Start with leverage. Contracts for difference (CFDs) amplify both sides of a wider rate gap: the slow grind higher and the sudden snap lower.
Then there is overnight financing, which broadly reflects the rate differential between the two currencies. With the gap now at 360 bps, a long AUD/JPY position may have positive overnight financing, while a short position may pay it. That does not make long AUD/JPY the right trade. It simply means the cost profile has changed.
The divergence also radiates outward. Nikkei 225 CFDs can ride the weak-yen tailwind, but may take a hit if the Yen strengthens on intervention chatter. Gold CFDs can also catch a bid when carry positions unwind. USD/JPY around 160 is the chart the Ministry of Finance is likely to care about, and a break there could pull the yen higher against more than just the dollar.
That is the honest summary: a widening rate gap does not hand CFD traders a trade. It hands them a regime where the opportunity looks bigger, but so does the trapdoor.
Manage your catalysts
Prepare for upcoming events and review your approach before trading.
The immediate base case is fairly tame. AUD/JPY could drift higher as traders price the wider gap and the Australian dollar finds support from today’s hike. An upside acceleration could come from softer yen positioning and steady risk appetite.
However, tame does not mean safe. A rate check by Japan’s Ministry of Finance, often the warning shot before actual currency intervention, could trigger a sharp yen rally and force carry positions to unwind.
Short-term Watchlist
USD/JPY behaviour around 160
MoF intervention commentary
Australian petrol prices
Heading into 16 June: Double Decision Day
The headline event is 16 June, when the RBA and BOJ deliver decisions on the same day. While the most likely outcome is a “no surprise” hold from both, markets rarely wait politely.
An upside scenario for AUD/JPY would be a hot Australian inflation print on 27 May that supports a hawkish RBA posture. Conversely, any shift in BOJ language towards earlier normalisation could compress the spread quickly. Margin settings can also vary around major events, making the calendar a key influence on trade behaviour.
The Upside Trigger
A hot Australian inflation print on 27 May supports a hawkish RBA posture.
The Fade Risk
A shift in BOJ language towards earlier normalisation narrows the spread.
The August Outlook
By August, the picture may look different. If oil cools and Australian inflation softens, the 4.35 per cent rate may turn out to be the cycle peak. The base case from there is a slow narrowing of the gap as the BOJ inches higher.
The uglier path is a global growth scare that lifts the yen as a safe haven, forcing positions to unwind regardless of interest rate maths. This is the uncomfortable truth: the maths can look tidy, but the exits can get messy.
The psychological trap to watch for
Rate divergence stories feel mathematically clean. The numbers can suggest a currency should appreciate, traders pile in, and the chart obliges. Then one intervention headline lands, the move reverses in 20 minutes, and stops are hit at the worst available price.
The bias to watch is carry complacency, the assumption that because the trade has worked for months, it will keep working. That is usually when the market becomes least forgiving.
A risk question for traders is simple: if this pair moved 3 per cent in the wrong direction overnight, would the position size still be reasonable? If the answer is no, that may say more about sizing than the trade view.
Bottom line
What traders may want on the radar: watchlists that reflect the divergence, broker swap rates and margin policies, and a clear view on what level of volatility they are prepared to sit through.
Though the carry story has momentum, it also has a tripwire and the next move may depend on which one markets notice first.
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