Is Gold the Ultimate Safe Haven in 2025?In the labyrinthine world of finance, gold has once again captured the spotlight, breaking records as speculative buying and geopolitical tensions weave a complex narrative around its valuation. The precious metal's price surge is not merely a reaction to market trends but a profound statement on the global economic landscape. Investors are increasingly viewing gold as a beacon of stability amidst an ocean of uncertainty, driven by the Middle East's ongoing unrest and the strategic maneuvers of central banks. This phenomenon challenges us to reconsider the traditional roles of investment assets in safeguarding wealth against international volatility.
The inauguration of Donald Trump as President has injected further intrigue into the gold market. His administration's initial steps, notably the delay in imposing aggressive tariffs, have led to a nuanced dance between inflation expectations and U.S. dollar strength. Analysts from major financial institutions like Goldman Sachs and Morgan Stanley are now dissecting how Trump's policies might steer inflation, influence Federal Reserve actions, and ultimately, dictate gold's trajectory. This intersection of policy and market dynamics invites investors to think critically about how political decisions can reshape economic landscapes.
China's burgeoning appetite for gold, exemplified by the frenzied trading of gold-related ETFs, underscores a broader shift towards commodities as traditional investment avenues like real estate falter. The Chinese central bank's consistent gold acquisitions reflect a strategic move towards diversifying reserves away from the U.S. dollar, particularly in light of global economic sanctions. This strategic pivot in one of the world's largest economies poses a compelling question: are we witnessing a fundamental realignment in global financial power structures, with gold at its core?
As we navigate through 2025, gold's role transcends simple investment; it becomes a narrative of economic resilience and geopolitical foresight. The interplay between inflation, monetary policy, and international relations not only affects gold's price but also challenges investors to adapt their strategies in an ever-evolving market. Can gold maintain its luster as the ultimate Safe Haven, or will new economic paradigms shift its golden allure? This enigma invites us to delve deeper into the metal's historical significance and its future in a world where certainty is a luxury few can afford.
Economicindicators
Behind the Curtain: Top Economic Influencers on ZN Futures1. Introduction
The 10-Year Treasury Note Futures (ZN), traded on the CME, are a cornerstone of the fixed-income market. As a vital benchmark for interest rate trends and macroeconomic sentiment, ZN Futures attract institutional and retail traders alike. Their liquidity, versatility, and sensitivity to economic shifts make them a go-to instrument for both speculation and hedging.
In this article, we delve into the economic forces shaping ZN Futures’ performance across daily, weekly, and monthly timeframes. By leveraging machine learning, specifically a Random Forest Regressor, we identify the most impactful indicators influencing Treasury futures returns. These insights can help traders fine-tune their strategies and navigate the complexities of this market.
2. Product Specifications
Contract Size:
The standard ZN Futures contract represents $100,000 face value of 10-Year Treasury Notes.
Tick Size:
Each tick corresponds to 1/64 of 1% of par value. This equals $15.625 per tick, ensuring precise pricing and manageable risk for traders.
Margins:
Approximately $2,000 per contract (changes through time).
Micro Contract Availability:
While the standard contract suits institutional traders, the micro-sized Yield Futures provide a smaller-scale option for retail participants. These contracts offer reduced tick values and margin requirements, enabling broader market participation.
3. Daily Economic Drivers
Machine learning models reveal that daily fluctuations in ZN Futures are significantly influenced by the following indicators:
Building Permits: A leading indicator of housing market activity, an increase in permits signals economic confidence and growth. This optimism often puts upward pressure on yields, while a decline may reflect economic caution, boosting demand for Treasuries.
U.S. Trade Balance: This metric measures the difference between exports and imports. A narrowing trade deficit typically signals improved economic health, leading to higher yields. Conversely, a widening deficit can weaken economic sentiment, increasing Treasury demand as a safe-haven asset.
China GDP Growth Rate: As a global economic powerhouse, China’s GDP growth influences global trade and financial flows. Strong growth suggests robust international demand, pressuring Treasury prices downward as yields rise. Slower growth has the opposite effect, enhancing Treasury appeal.
4. Weekly Economic Drivers
When analyzing weekly timeframes, the following indicators emerge as significant drivers of ZN Futures:
Velocity of Money (M2): This indicator reflects the speed at which money circulates in the economy. High velocity signals robust economic activity, often putting upward pressure on yields. Slowing velocity, on the other hand, may indicate stagnation, increasing demand for Treasury securities.
Consumer Sentiment Index: This metric gauges the confidence level of consumers regarding the economy. Rising sentiment suggests stronger consumer spending and economic growth, often pressuring bond prices downward as yields rise. Conversely, a decline signals economic caution, favoring safe-haven assets like ZN Futures.
Nonfarm Productivity: This measures output per hour worked in the nonfarm sector and serves as an indicator of economic efficiency. Rising productivity typically reflects economic strength and may lead to higher yields, while stagnation or declines can shift sentiment toward Treasuries.
5. Monthly Economic Drivers
On a broader monthly scale, the following indicators play a pivotal role in shaping ZN Futures:
Net Exports: This metric captures the difference between a country’s exports and imports. A surplus indicates strong global demand for domestic goods, signaling economic strength and driving yields higher. Persistent deficits, however, may weaken economic sentiment and increase demand for Treasuries as a safe haven.
10-Year Treasury Yield: As a benchmark for longer-term borrowing costs, movements in the 10-Year Treasury Yield reflect investor expectations for economic growth and inflation. Rising yields suggest optimism about future economic conditions, potentially reducing demand for Treasury futures. Declining yields indicate caution, bolstering Treasury appeal.
Durable Goods Orders: This indicator measures new orders placed with manufacturers for goods expected to last three years or more. Rising orders signal business confidence and economic growth, often leading to higher yields. Conversely, a decline in durable goods orders can indicate slowing economic momentum, increasing Treasury demand.
6. Applications for Different Trading Styles
Economic indicators provide distinct insights depending on the trading style and timeframe:
Day Traders: Focusing on daily indicators like Building Permits, U.S. Trade Balance, and China GDP Growth Rate to anticipate short-term market movements. For example, an improvement in China’s GDP Growth Rate may signal stronger global economic conditions, potentially driving yields higher and pressuring ZN Futures lower.
Swing Traders: Weekly indicators such as Velocity of Money (M2), Consumer Sentiment Index, and Nonfarm Productivity could help identify intermediate trends. For instance, rising consumer sentiment can reflect increased spending expectations, potentially prompting bearish positions in ZN Futures.
Position Traders: Monthly metrics like Net Exports, 10-Year Treasury Yield, and Durable Goods Orders may offer a macro perspective for long-term strategies. A sustained increase in durable goods orders, for instance, may indicate economic expansion, influencing traders to potentially adopt bearish sentiment on ZN Futures.
7. Conclusion
The analysis highlights how daily, weekly, and monthly economic indicators collectively influence ZN Futures. From more immediate fluctuations driven by Building Permits and China GDP Growth Rate, to longer-term trends shaped by Durable Goods Orders and the 10-Year Treasury Yield, each timeframe provides actionable insights for traders.
By understanding these indicators and incorporating machine learning models to uncover patterns, traders can refine strategies tailored to specific time horizons. Whether intraday, swing, or long-term, leveraging these insights empowers traders to navigate ZN Futures with greater precision.
Stay tuned for the next installment in the "Behind the Curtain" series, where we examine economic drivers behind another key futures market.
When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: www.tradingview.com - This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies.
General Disclaimer:
The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
Unlocking the Market's Rhythm: Modern Strategy Meets Historical Unlocking the Market's Rhythm: Modern Strategy Meets Historical Insights 🔄📈
🌍 Understanding Economic Rhythms: Investing isn't just about numbers; it's about recognizing the deep currents of demographics, debt, and asset cycles. By combining long-term trends with short-term tools like the ISM Manufacturing Index, you can anticipate market shifts with greater accuracy.
🔄 The Business Cycle in Focus: Markets thrive on cycles. The ISM Index provides a real-time snapshot of economic health, closely tracking GDP, corporate earnings, and asset price movements. It's your compass for navigating the economic landscape.
🏦 Central Banks as Market Guides: Historical texts on economic cycles reveal how central bank policies shape our financial world. Their role in providing liquidity during crises mirrors how modern indicators help investors navigate through market phases.
📊 Merging Historical and Modern Tools:
ISM as Your Navigator: Like central banks use policy to guide economies, the ISM signals potential market turning points.
Timing and Action: Use economic surprise indices to refine your forecasts, understanding that timing and the scale of actions are crucial.
🔍 Practical Implications for Investors:
Macro to Micro: Start with the big picture - demographics, debt - then use tools like ISM for precise market timing.
Behavioral Economics: Grasp how investor psychology and policy decisions shape market outcomes.
💡 Investment Takeaways:
Embrace Probabilities: Perfect predictions are a myth. Focus on probabilities, much like central banks navigate uncertainties.
Anticipate, Don't React: Use historical cycles and current indicators to prepare for market movements before they happen.
🔥 Timeless Insights:
"Understanding cycles turns the unpredictable into the predictable."
"Intervention without foresight can lead to unforeseen consequences."
📚 Deepen Your Knowledge: Insights from economic history provide the tools to navigate today's complex markets. Historical narratives on central bank roles offer invaluable lessons in market dynamics.
This blend of contemporary analysis with historical wisdom equips you to master the market's rhythmic dance.
#Investing 💰 #BusinessCycle 🔄 #MarketAnalysis 📊 #CentralBanking 🏦 #EconomicTrends 📈 #TradingView 📱 #InvestorEducation 🎓 #EconomicIndicators 📈 #CycleAnalysis 🔍 #InvestmentStrategy 📊
Question for Engagement: How do you incorporate economic cycles into your investment strategy? Share your thoughts! 📝
Behind the Curtain: Key Influencers of S&P 500 Futures Returns1. Introduction
The S&P 500 Futures (ES) represents one of the most actively traded futures contracts globally, serving as a benchmark for U.S. equity markets. Its liquidity and versatility make it a prime choice for traders seeking exposure to market movements. However, the factors driving these movements are far from random. Economic indicators often play a pivotal role in influencing the direction and volatility of S&P 500 Futures.
In this article, we dive into how various economic indicators shape the performance of S&P 500 Futures on daily, weekly, and monthly timeframes. Leveraging machine learning, specifically a Random Forest Regressor, we’ve identified the top drivers of these futures’ returns. The findings offer traders actionable insights to fine-tune their strategies and understand the broader market dynamics.
2. Understanding S&P 500 Futures
Product Specifications:
Tick Size: Each tick represents 0.25 index points, equivalent to $12.50 per tick.
Trading Hours: Nearly 24-hour trading cycle, ensuring liquidity across time zones.
Micro Contracts:
Micro E-mini S&P 500 Futures (MES): Designed for smaller-scale traders with a contract size 1/10th of the standard E-mini contract.
Advantages: Lower initial margin requirements and smaller tick values allow traders to manage positions more flexibly.
Margin Requirements:
Initial and maintenance margins vary based on volatility and market conditions. Currently around $15,500 per contract.
Micro contracts offer significantly lower margin requirements, making them ideal for retail traders or those testing strategies. Currently around $1,550 per contract.
3. Key Economic Indicators Influencing S&P 500 Futures
Daily Impacts:
1. Labor Force Participation Rate:
Reflects the percentage of the working-age population that is employed or actively seeking employment.
A rise in this rate often signals economic optimism, driving equities higher.
2. Building Permits:
Tracks the number of new residential construction permits issued.
A strong rise in permits indicates confidence in the housing market, which can positively
influence broader economic sentiment and equities.
3. Initial Jobless Claims:
A leading indicator of labor market health, providing real-time insights into layoffs.
Weekly fluctuations can significantly impact intraday futures trading.
Weekly Impacts:
1. Corporate Bond Spread (BAA - 10Y):
A measure of credit risk in the economy, reflecting the difference between corporate bond yields and Treasury yields.
Widening spreads often signal economic uncertainty, weighing on equity markets.
2. Velocity of Money (M2):
Represents the rate at which money circulates in the economy.
High velocity can indicate economic expansion, while slowing velocity may suggest stagnation, affecting equity futures trends.
3. Net Exports:
Tracks the balance of a country’s exports and imports.
Positive trends often boost market optimism, whereas persistent deficits can trigger concerns about economic health.
Monthly Impacts:
1. Oil Import Price Index:
Reflects the cost of imported crude oil, which has ripple effects on production costs across industries.
Rising oil import prices may pressure corporate earnings, impacting the broader S&P 500 index.
2. PPI: Processed Foods and Feeds:
Tracks price changes in processed agricultural products, offering insights into supply chain pressures.
Sharp increases can hint at inflationary risks, influencing long-term equity market sentiment.
3. Consumer Sentiment Index:
o Measures consumer confidence, a leading indicator of economic health.
o High sentiment often signals robust consumer spending, which supports equities.
4. Applications for Different Trading Styles
Day Traders:
Focus on daily indicators like Initial Jobless Claims and Labor Force Participation Rate.
Example: A sudden drop in jobless claims could signal short-term economic strength, providing day traders with bullish opportunities.
Swing Traders (Weekly):
Leverage weekly trends like Corporate Bond Spread or Velocity of Money (M2).
Example: A narrowing bond spread might indicate improving business confidence, aligning with medium-term bullish positions.
Position Traders (Monthly):
Use monthly indicators such as Oil Import Price Index and Consumer Sentiment Index to identify macroeconomic trends.
Example: Rising consumer sentiment could indicate a stronger economy, supporting long-term bullish strategies in S&P 500 Futures.
5. Risk Management Through Indicator Analysis
Refining Entry and Exit Points: Use indicator data to align trades with anticipated market shifts. For instance, an uptick in the Oil Import Price Index might signal upcoming headwinds for equities.
Managing Leverage: Understanding the volatility drivers like Treasury Yields can help traders adjust position sizes to manage risk effectively.
Diversification Across Timeframes: Incorporate insights from multiple timeframes to hedge risks. For example, while short-term indicators may suggest volatility, long-term metrics can provide stability signals.
Hedging Strategies: Use correlated assets or options to mitigate downside risks. Combining economic indicator analysis with market seasonality can enhance portfolio resilience.
6. Conclusion
Economic indicators provide invaluable insights into the drivers of S&P 500 Futures, helping traders align their strategies with market trends. Whether focusing on daily volatility from indicators like Initial Jobless Claims or broader monthly trends such as the Consumer Sentiment Index, understanding these relationships can enhance trading decisions.
By leveraging machine learning and data-driven analysis, this article highlights how indicators shape market movements across various timeframes. The insights empower traders to adopt tailored approaches—whether intraday, swing, or long-term—while improving risk management practices.
This framework not only applies to S&P 500 Futures but can also be extended to other markets. Stay tuned for the next article in the "Behind the Curtain" series, where we explore another futures market and its relationship with key economic indicators.
When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: www.tradingview.com - This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies.
General Disclaimer:
The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
Behind the Curtain: Economic Indicators Shaping Corn Futures1: Introduction
Corn Futures (ZC), traded on the CME, play a vital role in global markets, particularly in the agriculture and food industries. As a commodity with widespread applications, Corn Futures are influenced by a multitude of factors, ranging from seasonal weather patterns to broader economic trends. Understanding these influences is critical for traders seeking to navigate the market effectively.
In this article, we leverage machine learning, specifically a Random Forest Regressor, to identify key economic indicators that have historically correlated with Corn Futures' price changes. By analyzing daily, weekly, and monthly timeframes, we aim to provide a clearer picture of how these indicators potentially shape market behavior and offer actionable insights for traders.
The findings are presented through visual graphs highlighting the top economic indicators across different timeframes. These insights can help traders fine-tune their strategies, whether for short-term speculation or long-term investment.
2: Understanding the Key Economic Indicators
Economic indicators provide a glimpse into various facets of the economy, influencing commodity markets such as Corn Futures. Using the Random Forest model, the following indicators emerged as significant for Corn Futures on different timeframes:
Daily Timeframe:
Oil Import Price Index: Reflects the cost of importing crude oil, impacting energy costs in agriculture, such as fuel for equipment and transportation.
Durable Goods Orders: Tracks demand for goods expected to last three years or more, often signaling broader economic activity that can influence commodity demand.
Natural Gas Prices: Critical for the production of fertilizers, which directly impacts corn farming costs.
Weekly Timeframe:
China GDP Growth Rate: Indicates global demand trends, as China is a major consumer of agricultural products.
Housing Starts: Reflects construction activity, indirectly influencing economic stability and consumer behavior.
Corporate Bond Spread (BAA - 10Y): A measure of credit risk that can signal changes in business investment and economic uncertainty.
Monthly Timeframe:
Retail Sales (YoY): Gauges consumer spending trends, a crucial driver of demand for corn-based products.
Initial Jobless Claims: Acts as a measure of labor market health, influencing disposable income and consumption patterns.
Nonfarm Productivity: Indicates economic efficiency and growth, impacting broader market trends.
By understanding these indicators, traders can interpret their implications on Corn Futures more effectively.
3: How to Use This Information
The timeframes for these indicators provide unique perspectives for different trading styles:
Daily Traders: Indicators like the Oil Import Price Index and Natural Gas Prices, which are highly sensitive to short-term changes, are valuable for high-frequency trading strategies. Daily traders can monitor these to anticipate intraday price movements in Corn Futures.
Swing Traders (Weekly): Weekly indicators, such as the China GDP Growth Rate or Housing Starts, help identify intermediate-term trends. Swing traders can align their positions with these macroeconomic signals for trades lasting several days or weeks.
Long-Term Traders (Monthly): Monthly indicators, such as Retail Sales and Nonfarm Productivity, provide insights into overarching economic trends. Long-term traders can use these to assess demand-side factors impacting Corn Futures over extended periods.
Additionally, traders can enhance their strategies by overlaying these indicators with seasonal patterns in Corn Futures, as weather-related supply shifts often coincide with economic factors.
4: Applications for Risk Management
Understanding the relationship between economic indicators and Corn Futures also plays a critical role in risk management. Here are several ways to apply these insights:
Refining Entry and Exit Points: By correlating Corn Futures with specific indicators, traders can potentially time their entries and exits more effectively. For example, a sharp rise in the Oil Import Price Index might signal increased production costs, potentially pressuring corn prices downward.
Diversifying Trading Strategies: Leveraging daily, weekly, and monthly indicators allows traders to adapt their strategies across timeframes. Short-term volatility from energy prices can complement long-term stability signals from broader economic metrics like GDP Growth.
Mitigating Uncertainty: Tracking indicators such as Corporate Bond Spreads can provide early warnings of economic instability, helping traders hedge their Corn Futures positions with other assets or options.
Seasonal Hedging: Combining indicator-based insights with seasonal trends in Corn Futures can enhance risk-adjusted returns. For instance, aligning hedging strategies with both economic and weather-related factors could reduce downside exposure.
5: Conclusion
The analysis highlights how diverse economic indicators shape Corn Futures prices across multiple timeframes. From daily volatility influenced by energy costs to long-term trends driven by consumer spending and productivity, each indicator provides unique insights into market dynamics.
Traders can use this framework not only for Corn Futures but also for other commodities, enabling a more data-driven approach to trading. The combination of machine learning and economic analysis presents opportunities to refine strategies and improve outcomes in the competitive world of futures trading.
Stay tuned for the next article in this series, where we delve into another futures market and its relationship with key economic indicators.
When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: www.tradingview.com - This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies.
General Disclaimer:
The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
Why is the Swiss Franc Defying the Odds?In a global economy where central banks are leaning towards softer monetary policies, the Swiss Franc is charting its own course—strengthening against the odds. But what forces are truly at play here? Is it merely the cautious whispers of the Swiss National Bank, or is there a deeper undercurrent, tied to inflation expectations and global safe-haven flows? As we peel back the layers, we uncover a narrative that challenges conventional wisdom. Discover the intricate dynamics that could redefine how we perceive currency resilience in today's volatile market landscape.
The franc's unexpected strength has sparked a flurry of theories. Some point to the SNB's potential reluctance to cut interest rates as aggressively as its peers. Others suggest that the widening gap between Swiss and global inflation expectations could be fueling the franc's appreciation. Yet, the franc's safe-haven status and its role in carry trades add another layer of complexity to this puzzle.
The EUR/CHF currency pair, a barometer of the Eurozone and Switzerland's economic health, is particularly sensitive to the franc's strength. As the franc appreciates, it can impact trade balances, inflation, and overall economic competitiveness.
As the global economic landscape continues to evolve, the enigma of the Swiss franc's resilience persists. Is this a temporary anomaly, or a harbinger of a new era in international finance? Only time will tell.
Overall Sentiment for US Economy from January to May 2024The period from January to May 2024 has been marked by significant bearish sentiment due to multiple geopolitical events. The escalation of conflicts in Ukraine, increased US-China trade tensions, disruptions in the Red Sea, and heightened hostilities in the Middle East have collectively contributed to market instability. These events led to increased energy prices, supply chain disruptions, and heightened global volatility, which pressured the US Dollar Index.
The overall bearish impact on the dollar was driven primarily by inflationary pressures from higher oil prices and increased geopolitical risks, reducing demand for the dollar as a safe haven. Large institutions had to adjust their portfolios and manage risks strategically to navigate the volatile environment.
Macro Monday 8 - S&P500/M2 Money SupplyMACRO MONDAY 8
S&P500 / M2 Money Supply ( SP:SPX / $WMN2S)
M2 is a broad measure of the US money supply that includes cash, checking deposits, and other types of deposits that are readily convertible to cash such as CDs.
M2 is seen as a reliable metric for forecasting/predicting inflation and for this reason it can be used as leading economic indicator. For example, when there is more cash made available or too much, more cash typically gets spent. A little more can be good, too much or too sudden an increase can increase the risk of inflation. That's why the Federal Reserve constricts the money supply when inflation rears its ugly head. At present the Federal Reserve is decreasing the M2 Money supply in an effort to slow down spending in order to control and reduce the rate of inflation. Since April 2022 the M2 Money Supply has reduced from $22 Trillion down to $20.82 Trillion.
The money supply and its impact on Inflation combined with current interest rates has major ramifications for the general economy, as they heavily influence job availability, consumer spending, business investment, currency strength, and trade balance.
The M2 Money Supply also has a major impact on the stock market and can act as catalyst for increased purchases of stocks (when the money supply is increasing as more money is available) and can also cause the selling of stock when money supply is tight or tightening as it is at present (as less money is available in the wider economy).
The Chart – Accounting for Money Supply
As noted above the M2 Money Supply is reducing and it is expected that this may result in the S&P500 making lower lows as the supply of money continues to contract.
The S&P500 performance looks very different when it is adjusted to account for the increases and decreases of the money supply. We can achieve this by dividing the S&P500 by the M2 Money Supply (Chart 1).
Chart 1 – S&P / M2 Money Supply
- Since 1996 the Major Resistance Zone has stopped every progression higher.
- In 2007 a rejection from the resistance zone resulted in the Great Financial Crisis
- Major recessions are labelled with red arrows & market corrections with blue arrows.
- Since GFC there have been a number of rejections from the resistance zone which have
coincided with notable corrections for the S&P500 (see blue arrows).
- The most notable of these rejections was the COVID Crash in March 2020.
- We are at the resistance zone now and it appears we are struggling to breach above it and
may be rejected again. Given we have been rejected by this level 5 times since the 2007
Great Financial Crisis, it seems wise to remain cautious and expect a rejection from this
level again.
Chart 2 – S&P500 & M2 Money supply (Segregated)
- This chart shows you the S&P price action in isolation and underneath the M2 Money
Supply for reference.
- The declining M2 Money supply is like a weight or float pushing and pulling the S&P500
price action in its direction.
- The M2 Money supply may gravitate down towards its long term trend line over the coming
year(s) and one would expect the S&P500 to follow its lead and also gravitate lower.
- Interestingly, on Chart 2 you can see that the level that the M2 Money Supply and the
S&P500 were at prior to the pandemic would present an S&P500 price tag of $3,350.
Summary
Its seems unlikely that the S&P500 is about to break higher due to the overhead long term resistance zone on Chart 1 which helped predict the last two recessions (red arrows) and a handful of corrections (blue arrows).
There is a strong likelihood of continued M2 Money Supply normalization towards its long term trend line on Chart 2, especially considering Federal Reserves continued efforts to constrict the money supply through quantitative tightening to help quell inflation. These efforts will likely subdue any attempt of positive price action on the S&P500.
It is important to recognise that the Dot Com Bubble in 2000 pressed through the resistance zone on Chart 1 demonstrating just how big a bubble it was. It was initially rejected from the resistance zone in March 1997, however the M2 Money Supply was increasing at this time so whilst this outcome is always possible, it does not presently seem probable with M2 Money supply decreasing and likely continuing to decrease going forward.
Another potential outcome is a false break out above the resistance zone on Chart 1. We have had an unprecedented increase in to the money supply since the March 2020 COVID Crash and this could have a lagging effect which eventually pushes us over the resistance zone. Fiscal Stimulus which is harder to predict could also help us arrive at this scenario. Regardless, if these circumstances are met with continued decreasing M2 Money Supply, I believe that it would be a short lived breach of the resistance zone resulting in maybe a $4,980 S&P500 price tag (a higher high) followed by a severe correction. That is IF M2 Money supply is still decreasing as the S&P500 makes those higher highs.
And finally we have to consider what most people would consider to be the most unrealistic scenario, a Dot Com Style bubble towards the top red line on Chart 1. As improbable as this is, a combination of factors could lead us into this scenario;
- The aforementioned lagging effects of the unprecedented never before seen increase in
the M2 Money Supply since the pandemic.
- Continued or new Fiscal Stimulus from the US government.
- The bullish AI narrative (which appears to be dissipating at present)
This final bullish scenario is worthy of consideration especially factoring in the comparisons of the 2023 AI hype to the 2000 internet boom. As we enter a new technological epoch with the likes of Augmented Reality, Cryptocurrencies and AI, are we getting ahead of ourselves again? Do these technologies need a little more time to mature much like the internet? Are we overextended like we were in 2000? It’s hard to answer no to any of these questions but against the backdrop of record levels of Quantitative Easing and Fiscal Stimulus we have to keep an open mind as the Fed tries to simmer us down from these record levels of liquidity
It will be very interesting to watch these charts over coming weeks and months to see if we get our anticipated rejection from the resistance zone on Chart 1.
A special mention to Ben Cowen from "Intothecryptoverse" who originally brought this style chart to my attention. My chart could be considered a snapshot of his view however I hope I have added to it in some way with the above commentary and some correlations I have noticed.
Thank you for reading to the end. I hope these charts help frame todays market for you going forward.
I’ll keep you posted on any major changes.
PUKA
Countries with the Highest Debt-to-GDP Ratio 🌍💰📈
The world's financial landscape is a tapestry of economic prowess and fiscal challenges. A critical indicator of a nation's economic health is its debt-to-GDP ratio, a measure that reveals the extent to which a country's debt burdens its economy. In this insightful exploration, we'll delve into the figures that highlight countries grappling with the highest debt-to-GDP ratios. With real-world examples, we'll shed light on the complexities of global debt dynamics and their potential impact on the world economy.
Understanding Debt-to-GDP Ratio
The debt-to-GDP ratio is a crucial metric that reflects a country's ability to manage its debt relative to the size of its economy. A higher ratio indicates a greater level of indebtedness. Let's examine why this metric is so significant and its implications:
1. Greece: A Tale of Economic Turmoil
Greece serves as a prominent example of a country with a high debt-to-GDP ratio. In the early 2010s, Greece faced a sovereign debt crisis that shook the European Union. Its debt-to-GDP ratio exceeded 180%, signaling unsustainable levels of debt. The crisis forced Greece to implement severe austerity measures and seek international bailouts.
2. Japan: A Unique Fiscal Challenge
Japan represents a distinctive case where a high debt-to-GDP ratio coexists with economic stability. Japan's debt-to-GDP ratio is among the highest globally, surpassing 200%. However, it has maintained economic stability due to unique factors such as a high domestic savings rate and central bank policies.
3. United States: Juggling Debt and Economic Growth
The United States, with a debt-to-GDP ratio exceeding 100%, showcases the balance between debt and economic growth. While a high ratio can raise concerns, the U.S. has managed its debt effectively, leveraging its economic strength to service its obligations.
The debt-to-GDP ratio is a critical barometer of a nation's fiscal health and economic stability. Understanding the complexities and nuances of this metric is essential for evaluating a country's financial resilience and potential risks. As we explore countries with the highest debt-to-GDP ratios, it becomes evident that each nation's economic circumstances are unique. While a high ratio can signal challenges, factors such as economic policies, domestic savings, and global financial dynamics play pivotal roles in shaping a country's fiscal destiny. Ultimately, the global economy is an intricate web of financial interdependencies, and monitoring these debt ratios is a vital component of navigating this complex landscape. 🌍💰📈
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Navigating Forex Success: Mastering the Most Vital Fundamentals
Forex trading, the largest and most liquid financial market in the world, offers endless opportunities for profit. Yet, success in this dynamic arena hinges on a solid understanding of fundamental analysis. In this comprehensive article, we will explore the most crucial forex fundamentals that every trader should grasp. We will provide real-world examples to illustrate their impact and share how they can influence your trading decisions.
The Cornerstones of Forex Fundamentals
1. Interest Rates: Central banks set interest rates, which have a significant influence on currency values. Higher interest rates in a country can attract foreign capital, boosting the value of its currency.
2. Economic Indicators: Economic data releases, such as GDP, employment figures, and inflation rates, provide insights into a country's economic health. Positive data can lead to a stronger currency, while negative data may weaken it.
3. Political Stability and Economic Performance: Political stability and the overall health of an economy play a crucial role in currency valuation. Countries with stable governments and strong economic performance tend to have stronger currencies.
Real-World Examples
Example 1: EUR/USD and Interest Rates:
Example 2: GBP/USD and Economic Indicators:
Mastering the most vital forex fundamentals is essential for navigating the complex world of forex trading successfully. By staying informed about interest rates, economic indicators, political stability, and economic performance, you can make informed trading decisions and better understand the forces driving currency markets. With these fundamentals as your foundation, you'll be better equipped to seize opportunities and manage risks in the ever-evolving world of forex. 🌍📈💰
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How to use ECONOMIC INDICATORS for informed trading decisionsHello everyone! Here you have some information that I consider useful on how to interpret and use economic indicators and data to make informed trading decisions in the foreign exchange market:
GDP (Gross Domestic Product) - GDP is a measure of a country's economic output and is considered to be one of the most important indicators of economic growth. A higher GDP indicates a stronger economy, which can lead to an increase in demand for the country's currency.
Unemployment Rates - Unemployment rates measure the percentage of the workforce that is currently without a job. A low unemployment rate indicates a strong economy, which can lead to an increase in demand for the country's currency.
Inflation - Inflation measures the rate at which the average price level of a basket of goods and services in an economy is increasing. High inflation can lead to a decrease in demand for the country's currency, while low inflation can lead to an increase in demand.
Interest Rates - Interest rates are the cost of borrowing money and are set by central banks. High interest rates can attract foreign investment, leading to an increase in demand for the country's currency.
Trade Balance - The trade balance measures the difference between a country's exports and imports. A positive trade balance indicates that a country is exporting more than it is importing, which can lead to an increase in demand for the country's currency.
Political Stability - Political stability is an important factor to consider when trading in the foreign exchange market. A stable political environment can lead to an increase in demand for a country's currency, while political instability can lead to a decrease in demand.
In summary, GDP, unemployment rates, inflation, interest rates, trade balance and political stability are important economic indicators to keep an eye on when making trading decisions in the foreign exchange market. By considering these indicators, along with other market conditions, traders can make more informed decisions about when to buy or sell a particular currency.
Please note that the above information is not a financial advice and only for educational purpose, Economic indicators are important but not the only factor to consider while making trading decisions and It's always important to do your own research and consider your own risk tolerance before making any trades.
What are new-home sales and why do they matter to the economy?Upcoming week we have two important major events happening for the U.S , one of them is the new-home sales. But what exactly are new-home sales, and why do they matter? In this post, we'll break down what new-home sales are and explain why they're so important to the overall health of the economy. You also be more prepared and informed why the market moved in a certain way. Lets move on...
What are new-home sales and why do they matter to the economy?
New-home sales are a measure of trading activity in the market for newly built homes. The new-home sales data are important leading indicators of economic activity, providing timely information on changes in the demand for new homes, which directly affects decisions regarding investment, production, and employment. The data on new-home sales also provide valuable information on the market fundamentals that are shaping trading conditions in the market for newly built homes. The data can be used to inform decision-making about pricing, product mix, and other strategic considerations. In addition, the data can be used to assess market conditions and identify emerging trends. As such, new-home sales data are an important tool for monitoring and understanding the health of the economy.
See historical graph here:
fred.stlouisfed.org
Impact of new-home sales
When new-home sales activity levels rise, it has a positive impact on the economy as a whole. For consumers, this increased activity level leads to currency being put back into circulation. When builders see an increase in new-home sales, they are able to reinvest that currency into building more homes, which in turn provides more jobs for other industry players. The increased activity also has a positive impact on the stock market and it's currency, as builders and other companies who stocks are traded publicly see their stock prices increase. This provides more stability in the markets and can lead to more investors feeling confident about putting their money into the markets. Ultimately, when new-home sales activity levels increase, it provides a boost to the economy as a whole.
New-home sales are an important economic indicator because they signal overall consumer confidence and spending. Increased new-home sales activity levels have a ripple effect throughout the economy, benefiting consumers, builders, and other industry players. We shall see what impact the new-home sales will have this week on EURUSD.
We can currently see we are stuck in a range between support and resistance - let's see what the week will bring.
Trade safe around these hours! Cheers.