Market news & insights

Major companies have announced over 25,000 layoffs in the U.S. this month alone, with Amazon leading the charge with 14,000 announced corporate job cuts.

This number may increase to 30,000 for Amazon by the end of the year, as CEO Andy Jassy pursues a vision of operating like "the world's biggest startup.”

Other big corporations have followed the same trend, with Target making 1,800 corporate cuts, Starbucks 2,000 positions, and, in Europe, Nestlé plans for over 20,000 cuts.

What distinguishes this round of layoffs is the focus on white-collar roles seen as vulnerable to AI-driven automation—affecting middle managers, analysts, and corporate staff.

Gartner analysts predict that by 2026, one in five organizations will use AI to eliminate at least half of their management layers.

According to a KPMG survey, 78% of executives face intense pressure from boards and investors to prove AI is saving money and boosting profits, with traditional metrics often failing to capture its business impact.

Ford CEO Jim Farley warned that AI will "replace literally half of all white-collar workers," while Salesforce's Marc Benioff claims AI is already doing up to 50% of his company's workload.

Anthropic CEO Dario Amodei predicts AI could eliminate half of all entry-level white-collar jobs within five years, potentially spiking unemployment to 10-20%.

Nvidia Makes History Again As First $5 Trillion Company

NVDA hit a $5 trillion market on October 29, becoming the first company in history to reach this milestone. The achievement came just three months after breaching $4 trillion, further cementing its position as the dominant force in artificial intelligence infrastructure.

Since Q4 2022 — when Chat-GPT launched and began the AI-boom — Nvidia shares have climbed by over 1200% and Nvidia's valuation now exceeds the entire cryptocurrency market and equals roughly half the size of Europe's benchmark Stoxx 600 index.

The milestone comes on the back of CEO Jensen Huang unveiling $500 billion in AI chip orders and plans to build seven supercomputers for the US government.

However, there are warnings that AI's current expansion relies on a few dominant players financing each other's capacity, and valuations may be running hot. The real test comes on November 19 when Nvidia reports its quarterly results.

Fed Lowers Rates, but May Be Last Cut of 2025

The Federal Reserve delivered a quarter-point rate cut last night, but Jerome Powell's post-meeting press conference sent a clear message: don't expect another cut anytime soon.

While the Fed moved forward with the expected reduction, Powell pointed to two key obstacles that may prevent further easing this year. First, the ongoing federal government shutdown has created a data blackout, depriving policymakers of critical employment and inflation reports.

Second, Powell revealed "strongly differing views" among Fed officials about the path forward, with a "growing chorus" advocating for a pause before cutting rates again.

Markets responded by adjusting expectations, now pricing in roughly two-to-one odds for a December rate cut — down from what had been considered more certain just hours earlier.

While the Fed still seems to remain committed to eventual rate cuts, the timeline has become dependent on the government shutdown and clearer economic signals about inflation and employment trends.

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President Trump and President Xi have scheduled talks for later this week in South Korea, marking their first face-to-face meeting since Trump's return to office. After two weeks of heightened tension, a preliminary framework was established that effectively takes the threatened 100% tariffs off the table.

Treasury Secretary Scott Bessent characterised the framework agreement as being "very successful." This diplomatic progress has created some optimism across markets that the world's two largest economies can avoid the deeper trade conflict that was threatening to destabilise supply chains and accelerate inflation.

Copper Tests Key Resistance

Following a dramatic Q3 that saw prices surge to a record high of $5.81 in July, before plummeting to $4.37 by early August, copper has been steadily recovering as supply fundamentals reassert themselves. 

Since breaking through $5.00 in early October, prices have continued to gain strength, rising to $5.11 on October 9. Today's gap higher on trade talk optimism pushed prices back to this key technical level that has proven resistant since March. 

A confirmed breakout above $5.24 could open the door to $5.50 and potentially higher, making copper worth watching closely this week as both supply constraints and improving US-China trade relations provide potential tailwinds.

Fed Rate Decision This Week

The Federal Reserve will meet this Wednesday for the October 28-29 policy meeting, with a quarter-point rate cut seemingly fully priced in by markets. Market pricing indicates a 100% probability of an October cut and an 88% chance of another reduction in December. 

The key moment will come after the meeting during Fed Chair Powell's press conference — particularly on what he has to say about future rate policy and how the Fed views the balance of risks between inflation and employment.

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You have just identified a breakout above $50 resistance that historically wins 65% of the time — with a degree of confidence, you decide to take the trade.

Minutes later, the market starts to stall. Volume fades, price begins to hesitate, and eventually, your stop loss is hit, leaving you to wonder why your “65% setup” didn’t work.

The root cause of what happened is not your setup, but rather the fact that you assume that the probability of a specific trade outcome stays constant after entry.

This assumption locks you into a “static probability trap.” 

There is a tendency to treat probability as frozen in time after entering a trade, when in practice it shifts continuously throughout the life of a trade as new evidence enters the market.

Even if this new evidence may not be particularly dramatic, it can still have profound implications for the likelihood of a continuation of current sentiment and price action.

Unconditional Probability: Your Pre-trade State.

What you can rely on as part of your pre-entry decision-making is unconditional probability. 

This is your measured historical performance of a setup under similar conditions. It is your expected win rate and previous evidence of hitting a take-profit level.

The pre-trade belief that “This pattern works 60% of the time” is a backward-looking statement, and although based on some evidence, it shapes your belief about how this type of setup behaves on average.

However, as soon as you enter, the truth is that you are no longer dealing with a statistical average, but with this specific trade, unfolding before your eyes in this market environment, right now.

Conditional Probability: After You Enter

Once in the trade, your question becomes “Given what’s happening now with current price movement, volume, time, and volatility,  what’s the probability of success?”

This live review of your pre-trade expectation is the conditional probability — your new probability estimate conditioned on the actual market response that is unfolding.

Each new candle, volume shift, or volatility change is new information, irrespective of the underlying cause, and information changes probability. 

You are looking to see if:

• Trading volume is confirming or rejecting your entry expectations.
• If “time in the trade” supports further price moves in your favour or decay in market enthusiasm, evidenced in a drop in momentum.
• There are volatility changes that may be indicative of market sentiment accelerating or rejecting the initial move.

This is all about you recognising that some of these changes may result in adverse price moves. Having timely interventions that aim to protect capital and not donate much of your profit back to the market. 

Emotional Resistance to Conditional Probability Thinking

As with many trading situations, there is a psychological component of decision-making that can get in the way. 

Emotional “demons” that may influence this may briefly include the following: 

1. Anchoring: “I have done my analysis — it should work.”
2. Sunk-Cost Bias: “I’m already in, I might as well wait and see what happens next.”
3. Ego: Some may view that exiting means admitting they were wrong.
4. Lack of knowledge: “I don’t know how to update probabilities or take appropriate actions.” 
5. FOMO (fear of missing out): “What if I exit and then runs in my favour?”

These biases keep traders fixed at entry from mental, emotional, and statistical perspectives. 

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Updating Probability in Real Time

When you boil it all down into absolute core principles, three critical factors dominate the “in the trade” probability landscape after trade entry.

1. Trading Volume — Conviction or Rejection

Volume is the purest signal of conviction. It shows the strength behind the move and how much belief the market has in your trade direction. 

• High volume in your direction = strong confirmation; probability rises.
• Fading or below-average volume = weak conviction; probability erodes.
• High volume against you = rejection; probability collapses.

You can think of volume as your real-time market feedback gauge. It is the purest real-time evidence, in combination with price, of what other traders are thinking.

When price and volume disagree, this is a signal that the odds may (or already have) changed.

2. Time Elapsed — Pattern Decay

Every trade setup has a shelf life. A breakout that has not moved after a few candles can become statistically weaker than one that fired almost immediately. 

The potential scenarios are:

• Quick follow-through: expected behaviour; your entry probability is likely to be intact.
• Extended stagnation: increasing probability decay due to trades losing confidence in the trade direction
• Delayed reversal: final evidence of pattern failure.

Each candle that passes without confirmation can be viewed as a ‘vote’ against your trade from the market. 

This dissuades further trading interest in your desired direction, as opposed to when a market is enthused and buying seems to create ever-increasing interest as those who are fearful of missing out jump on board.  

3. Volatility Regime — The Environment Shift

Volatility defines your market environment, and this environment can change fast. 

• Volatility expansion in your favour confirms momentum; the probability of desirable and expected outcomes increases.
• Volatility expansion against you suggests a potential structural shift in the market, resulting in a fast drop in probability.
• Volatility contraction suggests market consolidation or exhaustion. This may be seen as a flattening of price action and a move from strongly directional to a more neutral price move. 

Volatility regime shifts are a potential market indication that “the game when you entered is no longer the same.”

Putting It All into Practice: Your End-of-Candle Review

Managing conditional probability doesn’t mean reacting to every tick. It is formalising a systemised reassessment at defined intervals, often doing an “End-of-Candle Review”, on your chosen trading timeframe as a start point.

At the close of each bar on your trading timeframe, you need to pause and ask the following key questions:

1. Has price behaved as expected?
   
   • Yes → maintain or increase confidence.
   • No → reduce exposure or prepare to exit.
2. Is volume confirming or fading?
   
   • Rising with direction → edge intact.
   • Falling or reversing → edge weakening.
3. Is volatility expanding or contracting?
   
   • Expanding in your favour → stay the course.
   • Contracting or reversing → reassess.
4. Has too much time passed without progress?
   
   • Yes → probability decay in play; consider exiting or scaling out.
5. What’s the appropriate action?
   
   • Hold, reduce, tighten, or exit — but always act in alignment with the evidence.

This simple routine keeps your decision-making informed by data, adaptable to market change, and unemotional.

None of the above is particularly ‘rocket science,’ but as with most things in your trading, it will require some work at the front end. 

Measure the “what if” scenario against previous trades and comparatively measure your old way versus your new system over time to allow for confirmation of this as an approach, but also to allow refinement based on evidence.

Final thoughts

The probability of a trading outcome in a single trade is never static. It evolves with every candle, every shift in volume, and every minute of market time as new information is released.

It does require a mindset shift. As traders, we need to move from the standard “It’s a 65% setup, so I’ll hold.” To an approach that adopts the approach of “It was a 65% setup on entry, but what is the market evidence suggesting now?” 

You are reacting to evolving information, and effective probability management becomes something beyond having one good trade (or avoiding a bad one) that compounds small improvement over hundreds of trades into measurable performance.

New U.S. Sanctions on Russia as Putin Conducts Nuclear Tests

The U.S. has imposed new sanctions on Russia's two largest oil companies, Rosneft and Lukoil, after planned peace talks between Trump and Putin collapsed on Wednesday.

Oil prices spiked 3% after the announcement, with Brent crude hitting $64 per barrel.

The targeted companies are among the world's largest energy exporters, collectively shipping about three million barrels of oil daily and accounting for nearly half of Russian production.

The sanctions build on recent European measures, as the UK targeted the same companies last week and the EU approved its own sanctions package on Wednesday.

In a show of force coinciding with the new sanctions, Putin supervised strategic nuclear exercises on Wednesday involving intercontinental ballistic missile launches from land and submarine platforms.

While the Kremlin emphasised these were routine drills, the highly coincidental timing is notable.

For markets, the key question now is whether secondary sanctions will follow, and if Trump’s enforcement remains strict. Traders will watch closely for any TACO signals that see Trump ease pressure in an attempt to restart negotiations.

Historic PM Wasting No Time on Celebrations

Sanae Takaichi made history this week as Japan's first female Prime Minister. The 64-year-old conservative leader, dubbed the "Iron Lady,” is already rolling out an aggressive policy agenda that could reshape Japan's economic and geopolitical position.

Her first major move is an economic stimulus package expected to exceed US $92 billion. The package includes abolishing the provisional gasoline tax and raising the tax-free income threshold from ¥1.03 million ($6,800), moves designed to put more money in consumers' pockets and battle inflation.

Her next move will come when Trump arrives in Tokyo next week, as the Japanese government is finalising a purchase package including Ford F-150 pickup trucks, US soybeans, and liquefied natural gas as sweeteners for trade talks.

Takaichi has campaigned on being a champion for expansionary fiscal policy, monetary easing, and heavy government investment in strategic sectors, including AI, semiconductors, biotechnology, and defence.

Critical Workers to Miss First Paycheck Due to Shutdown

The U.S. government shutdown is on the verge of creating a crisis for aviation safety, with 60,000 workers set to miss their first full paycheck this week.

These essential workers, who earn an average of $40,000 annually, already saw shortened paychecks last week. By Thursday, many will receive pay stubs showing zero compensation for the coming period, forcing impossible choices between basic necessities and reporting to work.

During the last extended shutdown, TSA sick-call rates tripled by Day 31, causing major delays at checkpoints and reduced air traffic in major hubs like New York — disruptions which are directly attributed to pressuring the end of the previous shutdown.

The National Air Traffic Controllers Association warns that similar pressures are building, with many workers soon to be facing a decision between attending their shift or putting food on the table.

S&P 500 and ASX Rally as Big Banks Drive Markets

Both the S&P 500 and ASX have rallied on the back of stronger-than-expected major bank earnings reports on both sides of the Pacific.

In the US, Bank of America reported a 31% year-over-year increase in earnings per share at $1.06, exceeding Wall Street's estimate of $0.95. Meanwhile, Morgan Stanley delivered a record-breaking quarter with EPS of $2.80, a nearly 49% increase from the same period last year.

On the Australian front, the benchmark ASX 200 leapt 1.03% to 8990.99, with all four major Australian banks playing a major role. CBA closed 1.45% higher, Westpac 1.98%, NAB 1.87%, and ANZ 0.53%.

These strong bank results indicate broader economic strength, despite recent concerns about US-China trade tensions. US Treasury Secretary Scott Bessent emphasised that Washington did not want to escalate trade conflict with China and noted that President Trump is ready to meet Chinese President Xi Jinping in South Korea later this month.

With the third-quarter earnings season just getting underway, these early positive results from financial institutions could prove as the start of continued market strength through to the end of the year.

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U.S. Government Shutdown Likely to Last Into November

Washington remains gridlocked as the U.S. enters its 16th day of shutdown. With no signs of compromise on the horizon, it appears increasingly likely the shutdown will extend into November and could even compromise the Thanksgiving holiday season.

Treasury Secretary Scott Bessent has warned "we are starting to cut into muscle here" and estimated "the shutdown may start costing the US economy up to $15 billion a day."

The core issue driving the shutdown is healthcare policy, specifically the expiring Affordable Care Act subsidies. Democrats are demanding these subsidies be extended, while Republicans argue this issue can be addressed separately from government funding.

The Trump administration has taken steps to blunt some of the shutdown's immediate impact, including reallocating funds to pay active-duty soldiers this week and infusing $300 million into food aid programs.

However, House Speaker Mike Johnson has emphasised these are merely "temporary fixes" that likely cannot be repeated at the end of October when the next round of military paychecks is scheduled.

By the end of this week, this shutdown will become the third-longest in U.S. history. If it continues into November 4th, it will surpass the 34-day shutdown of 2018-2019 to become the longest government shutdown ever recorded.

This prolonged shutdown adds another layer of volatility to markets. While previous shutdowns have typically had limited long-term market impacts, the unprecedented length and timing of this closure, combined with its expanding economic toll, warrant closer attention as we move toward November.

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Trump Announces Modi Has Agreed to Stop Buying Russian Oil

Yesterday, Trump announced that Indian Prime Minister Narendra Modi has agreed to stop purchasing Russian oil. He stated that Modi assured him India would halt Russian oil imports "within a short period of time," describing it as "a big step" in efforts to isolate Moscow economically.

The announcement comes after months of trade tensions between the US and India. In August, Trump imposed 50% tariffs on Indian exports to the US, doubling previous rates and specifically citing India's Russian oil purchases as a driving factor.

India has been one of Russia's top oil customers alongside China in recent years. Both countries have taken advantage of discounted Russian oil prices since the start of the Ukraine invasion.

Analysis suggests India saved between $2.5 billion to $12.6 billion since 2022 by purchasing discounted Russian crude compared to other sources, helping support its growing economy of 1.4 billion people.

Trump suggested that India's move would help accelerate the end of the Ukraine war, stating: "If India doesn't buy oil, it makes it much easier." He also mentioned his intention to convince China to follow suit: "Now I've got to get China to do the same thing."

The Indian embassy in Washington has not yet confirmed Modi's commitment. Markets will be closely watching for official statements from India and monitoring oil trading patterns in the coming weeks to assess the potential impact on global energy flows and prices.

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Chart of the Day - Gold futures CFD (XAUUSD)

Most traders understand EA portfolio balance through the lens of traditional risk management — controlling position sizes, diversifying currency pairs, or limiting exposure per trade.

But in automated trading, balance is about deliberately constructing a portfolio where different strategies complement each other, measuring their collective performance, and actively managing the mix based on those measurements.

The goal is to create a “book” of EAs that can help diversify performance over time, even when individual strategies hit rough patches.

A diversified mix of EAs across timeframes and assets can, in some cases, reduce reliance on any single strategy. This approach reduces dependency on any single EA’s performance, smooths your overall equity curve, and builds resilience across changing market conditions.

It’s about running the right mix, identifying gaps in your coverage, and viewing your automated trading operation as an integrated whole rather than a collection of independent systems.

Basic Evaluation Metrics – Your Start Point

Temporal (timeframe) Balancing

When combined, a timeframe balance (even on the same model and instrument) can help flatten equity swings.

For example, a losing phase in a fast-acting M15 EA can often coincide with a profitable run in an H4 trend model.

Combining this with some market regime and sessional analysis can be beneficial.

Asset Balance: Managing Systemic Correlation Risk

Running five different EAs on USDJPY might feel diversified if each uses different entry logic, even though they share the same systemic market driver.

But in an EA context, correlation measurement is not necessarily between prices, but between EA returns (equity changes) relating to specific strategies in specific market conditions.

Two EAs on the same symbol might use completely different logic and thus have near-zero correlation.

Conversely, two EAs on a different symbol may feel as though they should offer some balance, but if highly correlated in specific market conditions may not achieve your balancing aim.

In practical terms, the next step is to take this measurement and map it to potential actionable interventions.

For example, if you have a EURUSD Trend EA and a GBPUSD Breakout EA with a correlation of 0.85, they are behaving like twins in performance related to specific market circumstances. And so you may want to limit exposure to some degree if you are finding that there are many relationships like this.

However, if your gold mean reversion EA correlates 0.25 compared to the rest of your book, this may offer some balance through reducing portfolio drawdown overlap.

Directional and Sentiment Balance

Markets are commonly described as risk-on or risk-off. This bias at any particular time is very likely to impact EA performance, dependent on how well balanced you are to deal with each scenario.

You may have heard the old market cliché of “up the staircase and down the elevator shaft” to describe how prices may move in alternative directions. It does appear that optimisation for each direction, rather than EAs that trade long and short, may offer better outcomes as two separate EAs rather than one catch-all.

Market Regime and Volatility Balance

Trend and volatility states can have a profound impact on price action, whether as part of a discretionary or EA trading system. Much of this has a direct relationship to time of day, including the nature of individual sessions.

We have a market regime filter that incorporates trend and volatility factors in many EAs to account for this. This can be mapped and tested on a backtest and in a live environment to give evidence of strategy suitability for specific market conditions.

For example, mean reversion strategies may work well in the Asian session but less so in strongly trending markets and the higher volatility of the early part of the US session.

As part of balancing, you are asking questions as to whether you actually have EA strategies suited to different market regimes in place, or are you using these together to optimise book performance?

The table below summarises such an approach of regime vs market mapping:

Multi-Level Analysis: From Composition to Interaction

Once your book is structured, the challenge is to turn it into something workable. An additional layer of refinement that turns theory and measurement into something meaningful in action is where any difference will be made.

This “closing the circle” is based on evidence and a true understanding of how your EAs are behaving together. It is the step that takes you to the point where automation can begin to move to the next level.

Mapping relationships with robust and detailed performance evaluation will take time to provide evidence that these are actually making a difference in meeting balancing aims.

To really excel, you should have systems in place that allow ongoing evaluation of the approaches you are using and advise of refinements that may improve things over time.

What Next? – Implementing Balance in Practice

Theory must ultimately translate into an executable EA book. A plan of action with landmarks to show progress and maintain motivation is crucial in this approach.

Defining classification tags, setting risk weights, and building monitoring dashboards are all worth consideration.

Advanced EA traders could also consider a supervisory ‘Sentinel’ EA, or ‘mothership’ approach, to enable or disable EAs dynamically based on underlying market metrics and external information integrated into EA coding decision-making.

Final Thoughts

A balanced EA portfolio is not generated by accident; it is well-thought-out, evidence-based and a continuously developing architecture. It is designed to offer improved risk management across your EA portfolio and improved trading outcomes.  

Your process begins with mapping your existing strategies by number, asset, and timeframe, then expands into analysing correlations, directional bias, and volatility regimes.

When you reach the stage where one EA’s drawdown is another’s opportunity, you are no longer simply trading models but managing a system of EA systems. To finish, ask yourself the question, “Could this approach contribute to improved outcomes over time?”. If your answer is “yes,” then your mission is clear.

If you are interested in learning more about adding EAs to your trading toolbox, join the new GO EA Programme (coming soon) by contacting [email protected].