The AI Bubble's Final Act: Why $SP:SPX 6,700 May Be the TopThe AI Bubble's Final Act: Why SP:SPX 6,700 May Be the Top
Unemployment + Rate Cuts = Recession (12 for 12 Since 1970)
The Death Cross Pattern
There's a simple rule that's worked for 55 years: When the Fed cuts rates while unemployment is rising from cycle lows, recession follows within 12 months - every single time.
Think of it like a doctor taking your temperature while giving you painkillers. The medicine might make you feel better temporarily, but if the fever is rising, something serious is wrong underneath.
Current Status:
✅ Fed just cut rates ECONOMICS:USINTR (September 2025)
✅ Unemployment ECONOMICS:USUR rising from 3.4% cycle low
✅ TVC:SPX at all-time high ($6,700)
Historical Result: 12/12 times = recession + 35% average equity crash
The Precedent: Crisis Follows a Script
2000 Dot-Com Bubble:
Setup: TVC:SPX at ATH (1,550), ECONOMICS:USUR unemployment at 3.9%, ECONOMICS:USINTR Fed starts cutting
Crisis: Technology "revolution" story breaks down
Result: -49% crash over 2.5 years
Recovery: 7 years to new highs
2008 Financial Crisis:
Setup: CBOE:SPX at ATH (1,576), ECONOMICS:USUR unemployment at 4.4%, ECONOMICS:USINTR Fed starts cutting
Crisis: Housing/credit bubble bursts
Result: -57% crash over 1.5 years
Recovery: 5 years to new highs
2025 AI Bubble:
Setup: SPREADEX:SPX at ATH (6,700), ECONOMICS:USUR unemployment at 3.4%→4.2%, ECONOMICS:USINTR Fed starts cutting ✅
Crisis: AI productivity story meets employment reality
Projection: -35 to -45% crash over 18 months
Recovery: 3-5 years (faster due to tech infrastructure remaining)
The AI Employment Paradox
The Productivity Mirage
Wall Street celebrates AI boosting productivity, but here's the paradox:
productivity gains = job losses = reduced consumer spending = recession.
Think of it like a factory owner celebrating a new machine that replaces 100 workers. Great for margins, terrible for the local economy when those 100 families stop spending.
Jobs ECONOMICS:USNFP at Risk by Sector:
Customer Service: 2M jobs (chatbots replacing agents)
Software Development: 500K jobs (AI-assisted coding reducing teams)
Transportation: 3M jobs (autonomous vehicles accelerating)
Administrative: 4M jobs (AI handling routine tasks)
Content Creation: 1M jobs (AI writing, design, video)
Total Impact: 10+ million jobs facing displacement over next 2-3 years
Why This Time is Different?
Unlike previous automation waves that created new job categories, AI is targeting cognitive work directly. A factory worker could become a service worker, but what does a displaced knowledge worker become?
Valuation Extremes: 1929 Levels with 2025 Leverage
Current Valuation Metrics:
Shiller CAPE: 38+ (higher than 1929's 33)
Buffett Indicator: 195% (market cap/GDP, historical average 85%)
Price/Sales: 3.3x (vs 1.4x historical average)
Forward P/E: 23x (on optimistic AI earnings assumptions)
Valuations today exceed 1929 by most measures - but with far more leverage embedded in the system. If 1929 was a valuation bubble, 2025 is that bubble layered with derivatives, corporate debt, and passive flows.
The Leverage Layer:
Margin Debt: $1.023 trillion (record high)( as of July 2025, ycharts )
Corporate Debt/GDP: 85% (vs 45% in 2000)
Derivatives Exposure: $700 trillion notional ( as of June 2025, BIS semiannual data )
ETF/Passive Flows: $1.5 trillion annually (forced selling on reversals)
When liquidity stress hits, derivatives amplify shocks - notional exposure dwarfs underlying assets.
Think of today's market like a house of cards built on a trampoline. Even small bounces can bring the whole structure down.
Technical Breakdown: The Charts Don't Lie
Major Warning Signals:
Market breadth has deteriorated from 90% in Q4 2024 to ~60% today,
Defensives led earlier in the year,
TVC:VIX Volatility’s floor has shifted higher
Credit risk appetite (HYG/TLT) is stretched.
Together, these signal fragility beneath the index surface.
The Three-Stage Technical Collapse:
Stage 1 - The Warning (Now-Q4 2025):
Current Level: $6,700
Initial Support: $6,200 (previous resistance)
Character: Failed rallies, rotating leadership, "healthy correction" narrative
Target: 5,800-6,000 (-10 to -13%)
Stage 2 - The Cascade (Q4 2025-Q2 2026):
Breaking Point: Below 5,800 triggers algorithmic selling
Character: "Buy the dip" stops working, margin calls begin
Target: 4,800-5,200 (-25 to -30%)
Stage 3 - Capitulation (Q2-Q4 2026):
Final Flush: Panic selling, ETF redemptions
Character: "Markets will never recover" sentiment peaks
Target: 3,700-4,200 (-35 to -45%)
The Catalyst: When Reality Meets Hype
Q4 2025 Earnings Season - The Reckoning
Companies will face impossible questions:
"You spent $50B on AI - where's the revenue growth?"
"Productivity is up 20%, why are you laying off workers?"
"If AI is so transformative, why are margins declining?"
The Employment Data Domino Effect:
October/Nov NFP: First print above 250K unemployment claims
November Consumer Spending: Down 2%+ as job fears spread
December Holiday Sales: Weakest since 2008
January Layoff Announcements: Tech companies start "right-sizing"
Think of it like the moment in 2000 when investors finally asked: "How exactly does Pets.com make money?" or 2007 when they wondered: "What's actually in these mortgage bonds?"
Sector-by-Sector Breakdown
Technology (-50 to -70%)
AI hype stocks get destroyed first
Software companies face declining growth + competition
Semiconductor cycle turns negative
Biggest Losers: NVDA, MSFT, GOOGL
Consumer Discretionary (-40 to -55%)
Unemployment hits spending immediately
High-end retailers crushed first
Auto sales collapse with higher rates
Biggest Losers: TSLA, AMZN, NKE
Financials (-30 to -45%)
Credit losses surge as economy weakens
Interest margin compression
Commercial real estate exposure
Biggest Losers: Regional banks, non-bank lenders
Relative Outperformers (-15 to -25%)
Utilities, Healthcare, Consumer Staples
Companies with genuine AI cost savings
High-dividend yielders in low-rate environment
Key Dates and Catalysts
October 2025:
Jobs report (first warning?)
Q3 earnings disappointments
Fed meeting (dovish pivot?)
November 2025:
Election aftermath volatility
Black Friday sales data
Thanksgiving week low-volume crashes
December 2025:
Year-end tax selling
Institutional rebalancing
Holiday retail reality check
Q1 2026:
Layoff announcements surge
Earnings guidance slashed
Credit events begin
The Recovery Setup
Why This Crash Creates Opportunity:
Valuation Reset: P/E ratios back to historical norms
Weak Hands Flushed: Margin traders eliminated
Government Response: Fiscal + monetary stimulus
AI Infrastructure Remains: Real productivity gains continue post-bubble
Recovery Timeline:
Bottom: Q4 2026 around 3,700-4,200
Initial Rally: 30-50% bounce over 6 months
New Bull Market: Begins 2027 with stronger foundation
New Highs: 2029-2030 timeframe
Risk Management Rules
This Analysis Fails If:
Fed pivots to massive QE before crisis
Fiscal stimulus exceeds $2 trillion quickly
AI productivity gains offset job losses faster than projected
Geopolitical crisis overrides economic fundamentals
Probability Assessment:
60%: Correction to 4,800-5,500 range (25-30% decline)
25%: Major crash to 3,700-4,200 range (40-45% decline)
15%: Continued melt-up through 2026 (soft landing achieved)
Conclusion: The End of the Everything Era
At SPX 6,700 with unemployment rising and the Fed cutting rates, we're witnessing the final act of the 15-year "everything bubble."
The AI revolution is real, but like the Internet in 2000, revolutionary technology doesn't prevent financial gravity.
The bubble is ending exactly like the previous ones - with everyone believing "this time is different" right until it isn't.
Smart money is already rotating defensive. The question isn't whether a correction is coming - it's whether you'll be positioned for it.
USSP500CFD trade ideas
Trend Following: How to Ride Waves Without Getting Washed OutMarkets move in waves. Easy, right? But if you’ve tried catching one only to find out you get washed out, you’ve realized it ain’t’ that easy.
Sometimes there are gentle ripples that lull traders into boredom, other times they’re tsunamis that wipe out everything in sight.
The trick isn’t predicting when the next big set will hit – it’s learning how to catch it without falling off your board from the get-go. That’s where trend following comes in. Simple, structured, and surprisingly effective, it’s a strategy that says: stop guessing, start riding.
🌊 Catching It, Not Fighting It
At its core, trend following is about spotting momentum and sticking with it. If prices are climbing, you’re a buyer. If they’re falling, you’re a seller. No need to argue with the market about “fair value.” The trend follower’s mantra is: Mr. Market is always right, I’m just here to hitch a ride.
Why does this work? Because markets are essentially a bunch of thinking participants who move in herds. They share the same fears, hopes, expectations, and goals.
Traders, funds, and algorithms pile into the same ideas, technical patterns, and price levels, pushing valuations higher or lower. Your job isn’t to outsmart the herd – it’s to ride with it until the stampede loses steam.
Or better yet, spot the opportunity before the herd. "I am the animal at the head of the pack. I either get eaten, or I get the good grass,” says David Tepper, hedge fund manager.
🤫 Why It’s Harder Than It Sounds
“Buy high, sell higher” feels wrong anywhere but in the market. Human brains are usually wired to hunt for bargains, not chase expensive things. But there’s something about a record high that pulls you in and makes you say “Take my money!”
Traders love to bet on success. So when they see that Bitcoin BITSTAMP:BTCUSD is at $117,000 , near a record, it’s easier to throw cash than when it’s crashing and burning at a 60% discount.
True, no trend stays intact after a huge drop. But sometimes it’s better to see confirmation that the trend is exhausted than to exit during a mild dip and risk missing out on the big move.
Trend following isn’t about catching every top or bottom. It’s about accepting that you’ll never time it perfectly, but if you stay disciplined and let the trend play out, you’ll capture at least some of the move.
But in trading everything’s possible – some prefer to catch tops and bottoms, and that’s completely fine as long as it works.
“For twelve years I have been missing the meat in the middle but I have made a lot of money at tops and bottoms,” says Paul Tudor Jones, another big name in the industry.
📈 Tools of the Trade
So how do you know a trend is worth following? Traders lean on a few classics:
• Moving averages : If the 50-day is above the 200-day, that’s your green light. Prices above both? Bullish trend intact. Prices dive below the 200-day? Cue that a bear market is here.
• Support and resistance : Connect the dots (literally) and see if the price is respecting an upward or downward slope.
• Breakouts : When the price pops above resistance or drops below support on big volume, that’s the market saying, “Watch this.”
• Reversals : For those that like to live on the edge, spotting reversals might be a good way to catch a move from start to finish.
The trick isn’t in the tool itself, but in sticking to the plan when the inevitable wiggles and pullbacks happen.
🚤 Don’t Mistake Chop for Trend
Not every chart with bars pointing up is a trend. Sometimes you’re just looking at chop – those sideways, back-and-forth price moves that exist to chew up stop-losses and ruin Fridays.
Trend followers learn to wait for confirmation. That could mean a clean breakout with volume, or a moving average crossover with conviction. Enter too early, and you may find yourself drowning in false signals.
A confirmation is oftentimes triggered by economic news and reports. So pay attention to big and small releases stacked in the Economic Calendar .
🛟 The Stop-Loss Lifeboat
Here’s a little secret of trend following: you’ll be wrong a lot. The method is built around small losses and (occasional) big wins. That’s why stop-losses are essential . You’re not trying to win every trade, you’re trying to catch the few monster trends that more than pay for the slip-ups.
Think of it like surfing: you’ll get wiped out plenty of times, but you only need one clean wave to make the day worthwhile.
📊 The Math Behind the Swings
Why does this work over time? Because of asymmetric returns. If you risk $1 to make $3, you only need to be right 30% of the time to profit. Trend followers build systems where the losers are cut quickly, but the winners are allowed to run. That’s where the proper risk-reward ratio comes in.
Most traders do the opposite. They cut winners too early (“I’ll take my quick profit!”) and let losers drag on (“It’ll bounce, right?”).
🧩 Famous Trend Followers
This isn’t just theory. The Turtle Traders in the 1980s—an experiment by Richard Dennis and William Eckhardt—proved that complete novices could learn a rules-based trend following system and make millions. Fast forward, and big CTAs (Commodity Trading Advisors) still run billions using similar strategies today.
They all share one principle: don’t predict, only follow.
⏳ Patience Pays
The hardest part isn’t identifying trends. It’s sticking with them. Every pullback will tempt you to bail. Every analyst estimate, every scary headline, even your cousin at Thanksgiving telling you “Ether’s going to zero” will test your patience.
But trends don’t end because you got nervous. They end when the move breaks. Patience is what separates the trend followers who catch the big wave from the ones stuck paddling.
🎯 Final Take: Ride It Out
Trend following may not make you look like Paul Tudor Jones calling tops and bottoms. But it will keep you aligned with where the money is flowing. And when you’re on the right side of a trend, the ride is smoother, the wins are bigger, and the stress is lower.
Off to you : When’s the last time you got a nice wave and surfed it out to completion? Share your experience in the comments!
The AI Bubble's Final Act II: The Convergence TightensRetail flushed. Institutions trapped. The Fed flying blind. Welcome to October.
The AI Bubble's Final Act II: The Convergence Tightens
Why the AI Bubble Narrative Just Got Its Lehman Moment
This post is a direct sequel to my September thesis: If you haven’t read that, start there⬇️ - this builds on the trigger map 🗺️.
The BLUEBERRY:SP500 continues hovering near cycle highs at 6,700, but structural cracks are widening beneath the surface. The AI-led rally driven by NASDAQ:NVDA $100 billion commitment to OpenAI shows classic signs of saturation: volume decay, RSI divergence, and what analysts are now calling "circular financing." Nvidia invests $100 billion in OpenAI, which then turns around and spends it back on Nvidia chips - this is the capex circularity that marks bubble peaks.
With the U.S. government shutdown now confirmed as of October 1, 2025, macro liquidity stress adds a critical new layer of fragility. This aligns perfectly with our thesis: August CME:BTC1! top + September 30 shutdown = narrative inflection zone. I remain cautious on TVC:SPX upside and alert for volatility expansion.
Cycle echoes from 2007-2008 are in play. The boom is fragile. The Fed now faces a critical blindfold - key data streams are frozen mid-cycle. Without payrolls, inflation prints, or consumer metrics during the shutdown, policy decisions risk catastrophic miscalibration at the exact moment when precision matters most.
🧭 Why This Convergence Matters
I am not claiming that IG:BITCOIN and SP:SPX are traditionally correlated - even though the chart shows an eerily close alignment over the past decade. I'm mapping trigger timing across asset classes - the simultaneous exhaustion of different market participants:
BTC top (August 2025) = Retail exhaustion. The most speculative, leveraged traders have already been flushed out. When crypto peaks first, it signals risk appetite is rolling over.
SPX stall (September 2025) = Institutional fragility. The "smart money" that rotated from crypto into AI stocks is now trapped at peak valuations with nowhere left to rotate.
Shutdown (October 1, 2025) = Macro blindfold. Just as markets need maximum visibility, the government turns off the economic data dashboard. The Fed is flying blind.
Together, they form a convergent signal - just like Lehman + SP:SPX top + credit freeze in September 2008 . These weren't correlated, they were coincidental triggers that revealed the same underlying disease: excess leverage meeting liquidity shock.
📌 The Three Inflection Markers
🔹 Nvidia's $100B Commitment to OpenAI
📆 Date: September 22, 2025
Details: NASDAQ:NVDA pledged up to $100 billion to deploy 10 gigawatts of AI infrastructure for OpenAI progressively, marking peak capex saturation in the AI infrastructure buildout.
The Circular Financing Problem: Think of it like a closed-loop economy where the same money keeps circulating without creating real external demand. NASDAQ:NVDA invests $100 billion in OpenAI, which OpenAI then gives back to NASDAQ:NVDA for chips and infrastructure. This isn't wealth creation, it's musical chairs with capital. When the music stops, the question becomes: who's actually making money selling AI services to end customers?
Echo: Mirrors NASDAQ:CSCO dot-com era infrastructure frenzy, when telecom companies borrowed billions to buy Cisco equipment, creating the illusion of sustainable demand until the debt bubble popped.
🔹 The Cisco Precedent: When Infrastructure Investment Becomes Speculation
📆 Date: March 27, 2000
Peak Valuation: ~$550 billion - briefly the most valuable company in the world
The Story: During the dot-com boom, everyone "knew" the internet would change everything. They were right. But NASDAQ:CSCO still crashed 70%+ and never regained its 2000 peak even 25 years later.
Why? Capex-driven euphoria created demand that didn't exist organically. Telecom companies and startups borrowed money to build infrastructure faster than actual usage could justify. When funding dried up, demand evaporated overnight, leaving NASDAQ:CSCO with inventory, overcapacity, and shocked investors.
2025 Parallel: Everyone "knows" AI will change everything. They're probably right. But that doesn't mean NASDAQ:NVDA at current valuations survives the transition. The infrastructure buildout is running ahead of monetizable demand - classic late-cycle behavior.
🔹 U.S. Government Shutdown - The Macro Blindfold
📆 Start Date: October 1, 2025 at 12:01 AM
Trigger: Congressional deadlock over partisan spending bill and healthcare provisions
The Economic Data Blackout: During shutdowns, critical federal data releases get delayed or suspended:
Bureau of Labor Statistics (jobs reports, unemployment, wage data)
Bureau of Economic Analysis (GDP, consumer spending, inflation components)
Census Bureau (retail sales, construction, housing data)
Federal Reserve inputs for policy decisions
Why This Is Catastrophic Timing: The Fed is trying to navigate a soft landing while cutting ECONOMICS:USINTR rates with unemployment ECONOMICS:USUR rising. That requires precise, real-time data. Instead, they're getting a multi-week (or multi-month) information blackout at the exact moment when leading indicators are rolling over. It's like turning off your GPS while driving through a construction zone at night.
Historical Parallel - 2008: Bear Stearns collapsed in March 2008, but the Fed thought they'd contained it. Lehman failed in September because policymakers were operating on lagged, incomplete data about how quickly the contagion was spreading. The shutdown creates a similar fog of war.
The Convergence Thesis: Three Dominoes, One Direction
These three events aren't causing each other - they're revealing the same underlying condition: peak leverage meeting exhaustion.
1️⃣ Stage 1 (August): Retail speculators in crypto get wiped out first. BTC tops at $109K, starts rolling over. This is the canary in the coal mine - the most risk-seeking capital runs out of buyers.
2️⃣ Stage 2 (September): Institutional money realizes the AI trade is overcrowded. Nvidia's circular financing deal with OpenAI triggers analyst warnings about an AI bubble. Smart money starts quietly rotating to cash and defensives, but the indexes stay elevated due to passive flows and concentration in mega-caps.
3️⃣ Stage 3 (October): Government dysfunction removes the Fed's ability to respond quickly or accurately. Markets lose confidence that policymakers can even see the problems, let alone fix them. Volatility expands as uncertainty compounds.
Think of it like a forest fire. INDEX:BTCUSD was the dry brush catching first. The AI stocks are the trees - bigger, but still combustible. The government shutdown is the wind that accelerates the spread. You don't need correlation between brush, trees, and wind to know the conditions are perfect for disaster.
What Happens Next: The Three Scenarios
🟠 Scenario 1: Controlled Decline (45% probability)
Shutdown resolved within 2-3 weeks
SP:SPX corrects to 6,400-6,200 range (-5 to -10%)
Fed pauses cuts, reassesses within Q4
Market stabilizes but stays defensive through year-end
This is the "best case" - pain, but manageable
🔵 Scenario 2: Accelerated Unwind (40% probability)
Shutdown extends 4+ weeks, economic data gap widens
SPX breaks 6,000, triggers algorithmic selling cascade
Target: 5,200-5,500 range (-20 to -25%)
Credit spreads widen, corporate debt refinancing concerns emerge
This is my base case - the scenario I'm positioned for
🔴 Scenario 3: Systemic Event (15% probability)
Shutdown coincides with unexpected credit event (corporate default, regional bank stress)
Multiple margin calls and forced liquidations
SPX crashes to 4,500-4,800 range (-30 to -35%)
Fed emergency intervention required (rate cuts, QE restart)
Low probability, but non-zero - the true "black swan" outcome
📊 Technical Setup: The Chart Doesn't Lie
Current Level: 6,700 (near all-time highs)
Key Support Levels:
6,200: Previous resistance turned support - first real test
5,800: 200-day moving average - psychological line in sand
5,200: Fibonacci 38.2% retracement - institutional rebalancing zone
4,500: 2024 breakout level - panic capitulation target
⚠️ Warning Signals Already Visible:
Market breadth deteriorating (fewer stocks making new highs)
Defensive sectors outperforming (utilities, healthcare, staples)
Credit spreads starting to widen (HYG/TLT ratio declining)
VIX base level rising from 12 to 16+ (fear premium expanding)
The Bottom Line: Risk/Reward Is Clear
At SP:SPX 6,700 with the Fed flying blind, AI capex circularity exposed, and retail already flushed from crypto CRYPTOCAP:TOTAL , the risk/reward for long positions is terrible. You're risking 10-15% to potentially gain what - another 3-5% before reality hits?
Smart money is raising cash, buying volatility, and preparing shopping lists for when quality names trade at distressed prices. The convergence of COINBASE:BTCUSD top, NASDAQ:NVDA circular financing peak, and government shutdown isn't causing a crisis - it's revealing that we're already in the early stages of one.
August was the warning. September was the setup. October is the trigger.
The market doesn't need to crash tomorrow, but the margin of safety has disappeared. When the next shoe drops - earnings disappointment, credit event, geopolitical shock, employment spike - there's no cushion left. Only air.
Position accordingly.
Until the next trigger - Nicholas.
Disclaimer: This post reflects my personal views and analysis. It is not financial advice. Please do your own research and manage risk accordingly.
US500 at Record Highs: Caution Ahead of Options ExpirationUS500 at Record Highs: Caution Ahead of Options Expiration
The US500 recently reached a new all-time high near 6700 but quickly retraced back to 6570. The index managed to recover most of those losses, climbing again toward 6680.
In my view, however, we could be approaching the start of a downtrend that may develop by the end of the month.
In my view, we could be on the verge of a short-term downtrend soon, which could be created by the end of the month.
Today marks not only the end of the month but also the close of both monthly and quarterly data.
For indices, this coincides with option expirations, which often increase market volatility. Given the prolonged upward trend, these expirations could trigger corrective moves, so caution is needed.
You may find more details in the chart!
Thank you and Good Luck!
❤️PS: Please support with a like or comment if you find this analysis useful for your trading day❤️
The corrective phase of the S&P
In my view, the S&P 500 index is forming a diametric pattern in the long-term timeframe, with wave (E) currently nearing completion. Following this, the index is expected to enter a corrective phase, which could involve both price and time corrections:
- The price correction may extend to the range of the drawn box, potentially dropping the index to 3,500 points.
- Alternatively, the price could decline to the 4,700–4,800 range and then consolidate over time to complete the time correction.
Good luck
NEoWave Chart
The Evolution of the Market
I was always curious of what the market was like pre algorithms and computerized trading from market makers, and this is what prompted this research / article. Through the pursuit of this quesiton, I discovered some really surprising things. Mostly, the impact of the retail influx is actually quite visible in the data and statistics when you break down the market to its components. The exact time and the effect of the influx of retail and the "meme stock era" actually fundamentally changed market dynamics, as you will see how in this article!
So here I am to talk about the market evolution, as told by Statistics using the S&P. A very special thanks to Tradingview for giving such rich data on the S&P, allowing me to pull data as far back at 1888. Thanks so much Tradingview!
Now, lets get into it!
Introduction
The story of market evolution is really the story of how information is processed into price. From the ticker-tape era of the late 19th century to today’s machine-driven trading, each wave of innovation has left fingerprints in the data. With access to SPX data stretching back to 1888 (thanks again Tradingview!), we can actually test for these regime shifts.
My question was simple: did the rise of algorithmic and computer-driven trading — starting in the 1980s — measurably change the character of market price action? My thesis is that computer based alogirthms should have acted on the market in the following ways:
a) Should make the market more linear in nature via use of computer algorithms heavily based in linear algebra.
b) Reduced randomness in the data structure.
c) Made markets more efficient.
To answer these questions and find whether my theses were in fact valid, I applied a battery of statistical tests, regime backtests, and structural break analyses across defined eras of market history.
Descriptive Statistics: Shifting Return Distributions
I first grouped the data into six eras:
1888–1910
1910–1950
1950–1970
1970–1990
1990–2010
2011–current
For each, I computed mean returns, volatility, skewness, kurtosis, and a normality test.
You can see the results in the table below:
Findings:
Early markets (1888–1910) show wide swings and near-normal distribution.
Post-WW2 (1950–1970) returns were calmer, with reduced volatility.
From 1970–1990, skewness and kurtosis exploded, showing fat-tailed events — think oil crisis, stagflation, and 1987 crash.
2011–current is defined by higher kurtosis and volatility clustering, consistent with an environment dominated by algorithmic and high-frequency trading.
💡 Trading Tip: When kurtosis is high, risk is concentrated in rare but violent moves. Simple VaR (volatility) measures understate risk. Options traders often exploit this by buying long-dated wings (cheap out-of-the-money puts/calls) in high-kurtosis regimes.
Autocorrelation and Randomness
I then ran the Ljung–Box test (serial correlation) and Runs test (randomness), which you can see the results in the table below.
Pre-1970 markets often failed randomness tests → returns weren’t fully efficient, suggesting exploitable patterns.
Post-1990, autocorrelation is near-zero (high-frequency traders and quants arbitrage away serial dependence quickly).
However, runs test still showed occasional streakiness, especially in 2011–current (momentum bursts).
💡 Trading Tip: Don’t fight market efficiency. In modern data, intraday edges based on lagged correlations vanish quickly. Better edge: look for volatility regime shifts or structural breaks rather than naive mean reversion. And we will get into this more later in this article!
Variance Ratio & Hurst Exponent: Random Walk vs. Persistence
Variance Ratio tests showed early markets >1 (predictable mean reversion), but after 1990 values dipped negative, which tends to signify momentum behavior. See the tables below:
Looking at the Hurst exponent, it hovered at ~0.55 pre-2000 (persistent trending), but dropped toward 0.48 post-2011 indicating a move from randomness to more stability.
💡 Trading Tip: Momentum is not dead, but its timescale is compressed. Where trends once lasted months, they now play out in days or weeks. Swing traders should shorten holding horizons in the modern era based on these results. And I am sure we all can relate after the initial crash we saw at the beginning of 2025 and how quickly it recovered! This quick recovery without retracement of lows showed up as a market rule from 2018 and on (more on that later).
GARCH Volatility Clustering
Before I get into this analysis, I just want to clarify what GARCH is, as it is discussed a bit among quant traders and chances are you may have heard it but not quite sure what it's all about.
GARCH — short for Generalized Autoregressive Conditional Heteroskedasticity — is a model designed to capture how market volatility clusters in time. Essentially, it recognizes that periods of calm trading are usually followed by more calm, and turbulent days are usually followed by more turbulence.
Instead of assuming volatility is constant, GARCH lets it “breathe” with the market:
When shocks hit (e.g., 2008 crisis, 2020 COVID crash), volatility spikes, and the model expects more big moves ahead.
When markets settle, volatility decays slowly rather than instantly snapping back.
This persistence — where high volatility begets high volatility — is one of the defining features of financial time series, and GARCH is the workhorse model used to measure it.
So keeping this in mind, let's discuss the results.
I Fitted multiple GARCH(1,1) models which gave me alpha + beta ≈ persistence.
What this means is summarized below by era:
Pre-1980: persistence ~0.95 (long-lived volatility shocks).
Post-2010: persistence ~0.97 — extremely sticky volatility.
This shows that volatility has become a regime in itself — shocks last longer and decay more slowly.
💡 Trading Tip: In persistent volatility regimes, selling short-dated options (expecting “vol will collapse”) is dangerous. Instead, structured spreads (calendars/diagonals) are safer because they profit from persistence.
Regime-Based Backtests: Momentum vs. Mean Reversion
I backtested two toy strategies inside each era:
Momentum: buy after up days.
Reversion: fade after up days.
Results:
Interpretation Tip: This chart shows 2 toy strategies applied, one based on momentum (i.e. last day was positive, I am going to just go ahead and long the next day, inverse if last day was negative) vs mean reversion (essentially playing to major SMAs). The lower the number, the better the strategy (negative numbers in this case are GOOD and positive are BAD, 0 is net flat).
Here is the summary of the results:
1910–1950: reversion dominated (thin markets, order-driven).
1970–1990: momentum exploded (indexing, funds, trend-followers).
2011–current: momentum again shows dominance, possibly linked to retail trading waves post-2018 (e.g., meme stocks, option gamma squeezes).
This is the result that shocked me the most. You can literally see from this chart, at about 2018, the market abandoned mean reversion in favour of momentum to a statistically significant extent!
This information is incredible and actually really forces me to rethink some of my mean reversion based strategies. This also happens to coincide with meme stock eras, early introduction of trading apps and the whole, as I call it, "democratization of trading for everyone". We can literally see the retail footprint show up and how retail has fundamentally shifted market dynamics away from mean reversion to more about momentum.
This just amazes me, I was never expecting to actually be able to physically see how dramatic retail has impacted the market! And this was never the intention of this research, it was focused mostly on looking at how the market has evolved in relation to computer algorithms and AI, but just happened to also pick up on the retail bandwagon influx in the crossfire.
💡 Trading Tip: Regime awareness matters. In reversion eras, fading strength is profitable. In momentum eras, chasing breakouts is. Today, evidence leans momentum, but in short bursts (intraday to multi-week).
Bai–Perron Structural Breaks
Oh man, this one was a nightmare.
Being a quant trader, I have some serious computing power and servers and this really gave them a run for their money.
This test essentially explores for statistically significant regime shifts. It identifies them on its own and returns the dates of the independent regimes. This took some hours to process, but essentially what it has done is identified, on SPX, independent regimens that are fundamentally different from each other.
Here is the raw table breakdown of the regimes:
And displayed overlaid with the close of the S&P:
Breaks detected:
1929–1933: Great Depression.
1973–1987: Oil crisis → Black Monday.
2000–2009: Dot-com → Global Financial Crisis.
2020: COVID volatility shock.
These align almost perfectly with historical crises.
The point of the function is essentially to just have an unbiased, algorithm validate that there are or have been independent shifts and regimes present in the market, without us imposing our own opinions (i.e. "the market has never been the same since 2008" and don't forget the million dollar "Trump market" (which by the way is disproved as significant using this analysis, there is no statistically significant difference in a "Trump market" or it would have shown up ;) ).
💡 Trading Tip: Structural breaks matter most to macro investors. Regime shifts reset correlations, volatility, and trend behaviors. After 2020, treating markets as “post-2010 continuation” is wrong — structurally, a new volatility regime has been in play.
Conclusion
So, what can we say about all of this?
The statistical fingerprint of markets has changed dramatically:
Early 20th century: mean-reverting, inefficient.
1950–1970: calm postwar boom.
1970–2000: fat tails, trend-followers dominate.
2000–2010: crash-prone, clustered volatility.
2011–current: machine-driven randomness punctuated by bursts of momentum (often retail-driven).
To answer my initial question regarding whether the introduction of computing and AI fundamentally shifted the market, looking at the data, it suggests that algorithmic trading didn’t make markets “more linear.” Instead, it compressed timescales, enforced near-randomness, and amplified volatility persistence. Retail surges post-2018 added another layer: sudden, meme-like bursts of momentum.
But here are the things that surprised me the most and I think should be really taken away from this research and thought about. These are my observations:
The market went from a true Random-walk situation from 1888 to 1950, to a more trendy and predictable version in 1950 to 1980.
The era between 1888 and 1950 and the era between 1950 and 1990 are fundamentally different. These are not the same markets anymore and there aren't any visible remnants of our 1900s, 1920s, 1950s or even 1990s markets. This matters because we can't really compare this current market to say the dotcom bubble, since the factors that made up the market mechanics in that era are fundamentally different than currently. As well, those using strategies that are based on 'old regimens', such as EWT or certain pattern formations (for me, I use Bulkowski patterns who did the majority of his analyses and statistics in the 1990s) are defunct. The regimen is different, its changed and it is fundamentally different. Thus, is is unlikely that the traditional patterns from the 90s or the EWT as it was written in the 1930s, a regimen that was fundamentally different, mean reversion based, will hold up in the current market climate. Remember, 1920s to about the 1950s was a major mean reversion era, the market has now moved away from mean reversion. So these strategies built on those dynamics need to be approached with absolute caution.
In all, I am glad I spent hours doing this because I will have to look into revamping some of my own stuff to be more in line with the current era. I have noticed some of Bulkowski's patterns just don't work, and now it makes sense. I also noticed some of my old mean reversion strategies aren't that great anymore either, and now it makes sense.
Whether you are a technical trader or a quant trader, statistics can help you understand the reason and rationale and guide you in your pursuit of profitable trading, without diverging your strategy (you can remain technical based or quant based, you just can be informed about the nitty gritty of it all with stats). And I hope that this analysis/article helps you see the usefulness of stats in guiding your understanding of market mechanics.
I will leave you with some final pragmatic advice based on the analysis:
Trade shorter momentum bursts.
Respect volatility persistence.
Use structural break analysis to anticipate when “old rules” stop applying. (more advanced but if you are up for it!)
The key take away from all of this heavy stats stuff, if anything, is that we are in a momentum driven market that does not favour mean reversion and is quick to shake off downside volatility.
I hope you found this insightful, this took a bunch of time to process these analyses and then write this post, so if you enjoyed it and found it helpful, share some love with a like and/or comment!
Thanks so much everyone and as always safe trades!
Special thanks again to Tradingview for the great data!
To Grammarly for hopefully having edited errors in this post!
SORA for the cover art.
And to R for providing the means of the analysis.
As well, the biggest thanks to you all, the Tradingview community, for reading, interacting and engaging!
$SPX500 by all metrix this is overboughtMarkets can stay irrational longer than we can stay solvent. Right now, we’re at the top of this megaphone pattern, with everything extremely overbought in epic fashion.
⚠️ Caution: the odds of a serious correction are high — the chart points to a potential target around $5,650.
Sure, the madness can continue. The Fed can keep printing USD that pours into stocks instead of the real economy — until people are jobless, starving, and rioting for food.
📈 Enjoy the rally while it lasts, but use stop-losses. This market is dangerously overheated.
S&P500 H1 | Bullish Momentum Extending FurtherBased on the H1 chart analysis, we could see the price fall to the buy entry at 6,682.33, which is a pullback support and could bounce from this level to the upside.
Stop loss is at 6,651.10, which is a pullback support.
Take profit is at 6,731.11, which line sup with the 161.8% Fibonacci extension.
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CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 66% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.
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Losses can exceed deposits.
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The Truth Behind Profitable TRADING ( must read)Please note : This post isn't meant to scare you away from trading. Quite the oposite. It's meant to show you what NO ONE TALKS ABOUT IT. Better to see it clearly now than learn it expensively later. This post comes from someone with more than 7 years of market experience
♾️How To Really Become Profitable?
Profitable trading is not about finding a magic holy grail, strategy, course or even mentor.
Of course, they can help you, but at the end of the day... You are the ONLY ONE behind the final click.
Profitable trading is all about you! but how?
Let’s get into it !
The average human is not wired to properly trade the financial markets...We are wired in the worst way to be a consistently profitable trader. Trading goes against the human psychology.
To all those learning to trade the financial markets, this game is not what you think it is.
Most books and courses simply do not paint an accurate picture of the reality. Most of traders think the only way to become profitable is focusing on the wrong things:
❌ WHAT WON'T MAKE YOU PROFITABLE
MORE INDICATORS
MORE HARD WORK
MORE TECHNICAL ANALYSIS
MORE WRONG EDUCATION
The truth is that all of these will never really bring you consistent results.
Here’s a list of 6 elements that from my experience are game changers. I will go deep in each element so that you can really understand. Do us a favor and please support and comment this IDEA so that we can reach more traders.
The first and most important element:
✅ PROPER RISK MANAGEMENT
That is the number one killer and doer.
For most traders, they open a position size much larger than they can mentally afford. The problem is that by over risking you automatically let emotions have control over you.
someone once told me:
When emotions increase, accuracy decrease.
Trading is a Game of probabilities you can do everything right and end up wrong and you can do everything wrong and end up winning. There is a random distribution of winning and losing trades. You must be ready to become confortable by losing. You must understand your degree of tolerance. Only you know your risk profile. Only you know what you can afford to lose
Only you know the weight of your current life situation. Only you know you risk apetite.
If you are having a bad situation with risk, just reduce your risk so you can get back the control. You must find the proper position size. This is not about the size of your account or the size of the position in dollars. It's about how confortable you are with proper position sizing.
PROPER POSITION SIZE IS ALSO MENTAL !
✅ PROPER PSYCHOLOGY
For most traders without seing consistent results, they believe their system needs some implementations or modifications, and they focus more on the “analysis” side by learning more stuff. They are in a infinite loop hoping to find that next holy grail. The truth is that you don't need more technical analysis indicators or course. You just need to sit in front of a mirror and understand how your bain acts when you trade.
You must understand how you are affected when trading.
There are many psychological aspects you should focus. We can talk years about it. I advise you to read Mark Douglas for that. One of the most important things is to Dissolve or reduce all your fears. You must learn to trade by dealing daily with your FEARS. You must understand and have a deep talk with yourself to see the way fear control your mind.
Here are 4 types of fears when it comes to trading:
Fear of being wrong
Losing money ,
Distribute profit
Missing out
By other side you must understand the neuro associative conditioning that created good trading habits and self-destructive habits.
Here are some examples of different neuro associative conditioning:
Pro trades see retracements as opportunity to add to their positions while newbies see retracements as threats and might close the trade in profit in a simple pullback.
Pro traders have hope when they have a winning trade and despair when they have a losing trade. While newbies have hope when they have a losing trade because they don't want to be proven wrong, they also have despair to distribute profits when they have a winning trade simply doing a pullback
there are infinite examples. EVERY TRADER HAS IT'S OWN neuro associative conditioning that make or break them.
✅ Healthy LIFE BALANCE
As Paul Sartre said, we are our choices.
What we do with our 24 hours will define the kind of person we are & we become. This is all about changing and adopting proper habits in your pro and personal life.
If you don't manage to balance your personal life... All those bad vibes will send resistive energy and when you get this energy you can either shut down or step through and doo exactly what you are supposed to do regardless. Take care of your personal habits and problems.
Avoid bad habits that drain your energy and focus on good habits that will make your BODY MIND perform well or at least well such as working out, sleeping well, eating clean etc...
Trading is not made for the undisciplined human being. Take care of your body & mind.
Before getting serious with trading, I I used to have a lot of bad habits that honestly, I’m not proud of it. But everything can change.
It’s all about building a proper internal well-being environment.
✅ THINK IN TERMS OF PROBABILITIES
Mismanaging risk is a bad habit. Most of traders have the worst trading habits because they asume the outcome and they don’t like to be wrong. They assume they know what the outcome will be, so they bail out of trades. They think it will make them more money, so they risk more in one single trade because they believe this trade is a high probability one that it will make them money. They have a trade by trade approach. they execute with a Can’t lose mentality
They assume that after a few wins the next trade is likely to be a winner, so they double up. They assume that after a few losses the next trade is likely to be a loss, so they do not execute or they reduce the risk.
It’s okay we all have been there.
By adopting simple proper” SERIES OF TRADE APPROACH” your outcome will change and you will become profitable in the long run. This is what we call think in terms of probabilities.
This is the approach that a few minorities of the traders use. This approach is not based on predicting anything; rather this is a precise pre-defined system of pulling the trigger when your system or edge presents itself, and the outcome of the trade is irrelevant. ALL YOU CARE IS about the outcome of a series of trades.
We take a series of trades, and we are entirely focused on the outcome of the series, and NOT the outcome of each individual trade. The outcome of each trade and attempting to predict the outcome of each and every trade is an uphill battle. You won't be able to predict the outcome of one single trade but yes you will be able to predict the outcome of a series of trades
✅ SOLID PREDEFINED EDGE
Mentors can transfer you knowledge but never experience. You need to use their experience to create your own plan make sure to set rules to find good trades execute those good trades and let those good trades play out. Trading is very personal. What might work for some might not work for you and that's okay. What might work for you might not work for someone else. Everyone is different.
✅ LASER FOCUS LEARNING CURVE
Those who make it in this business were laser-focused; they made a decision to either be right or wrong. A laser shines a coherent beam of light and is powerfully focused on a single point. That point will undergo immense heat or pressure. Same applies to learning to trade. It requires all your energy to be put forth on a single objective.
Compare this with a light bulb or the sun, which shines its rays outwardly with its energy distributed in all directions. You will barely feel the heat as the energy is unfocused and dissipates accordingly. This applies to those traders who have issues They doubt their decisions and jump from one strategy to another they chase the holy grail they change from system, they buy multiple courses, change of style etc….. There is million ways to make money in the markets but only you will make it with your own way. My advice if to become like a laser focus.
SOLID EDGE SOLID EXECUTION NOTHING ELSE.
Make a decision and instead become focused like the laser beam on what it is that you desire to develop, and you are more likely to achieve your target.
In order to keep in mind this, remember this quote of Bruce Lee “I fear not the man who has practiced 10,000 kicks once, but I fear the man who has practiced one kick 10,000 times.”…
⚔️ Final Word
Trading can be simply if you focus on the right things and quit the wrong things.
Hellena | SPX500 (4H): SHORT to support area of 6550.Colleagues, I am not much of a correction trader, but I have to share my opinion that the upward impulse has almost formed wave “5” and now it would still be logical to expect a correction.
I believe that first the price will update the local maximum in the resistance area of 6759, then we will see a correction in wave “4”, which I expect to see at least in the support area of 6550.
Manage your capital correctly and competently! Only enter trades based on reliable patterns!
S&P500 Short-term Bull Flag formed.The S&P500 index (SPX) has been trading within a Channel Up since the July 31 High. The price is currently on its 4H MA50 (blue trend-line), forming a Bull Flag after a 4H MA100 (green trend-line) rebound last Thursday.
This is similar to the Bull Flags of August 25 and 05, which both ended with a rise to the 1.236 Fibonacci extension. Even the 4H RSI sequences among the 3 fractals are similar with their Lower Highs structures. The only difference is that the price bottomed this time on the 4H MA100 (as mentioned), instead of the 4H MA200 (orange trend-line) of the previous 3 times.
As a result, if this Bull Flag holds, we expect a quick rally to 6720 (just under Fib 1.236).
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S&P500 (US500): Another BoS
US500 updates the all-time high yesterday, breaking a resistance
cluster based on a previous high.
It opens a potential for more growth now.
Next goal - 6750
❤️Please, support my work with like, thank you!❤️
I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
PROP TRADING - BLESSING OR TRADING GROUND?🧠 Prop Trading – Blessing or Training Ground?
📝 Summary
Prop trading looks like the fast track to capital: low costs, high profits.
In reality, most providers are built on fees rather than trader success.
For beginners, it can be valuable – as a training platform for risk, drawdown & psychology.
For professionals, it’s rarely a long-term home – the structures aren’t made for that.
1️⃣ The Temptation
Prop trading sells a dream:
👉 “Pay little – get capital – earn big.”
Entry with small fees or even free challenges
No bank account, no license required
Promise of quick profit
For many, it feels like a shortcut – cheap in, fast up.
But firms have built their models psychologically perfect.
2️⃣ The Challenge Structure
Phase 1 → e.g. +10% target with limited drawdown
Phase 2 → seemingly easier: only +5% target
Afterwards → “Funded Account” + fee refund
But don’t underestimate the details:
Strict drawdown rules
News trading bans, slippage, spread expansions
Execution delays in volatile phases
👉 If you use it wisely, you learn discipline, risk management, and patience – things no other “training” will teach you.
3️⃣ The Funded Account – Reality vs. Illusion
Even if you are “funded”:
In almost all cases, it remains a demo account.
First payouts (3'000–5'000 CHF) are often possible.
After that, your behavior is closely checked for scalability.
Traders who earn too much too quickly often face limits:
Internal rule restrictions
Additional reviews
Accounts frozen at the first irregularities
4️⃣ Why Professionals Rarely Stay
Firms say: “We are looking for top traders.”
In reality, they look for traders who fit the business model – pay fees regularly, stay within risk.
Consistently strong professional traders don’t fit long term, because they could outgrow the system.
5️⃣ The Bait: Certificate & “Diploma”
Many prop firms lure you with the promise of becoming a “certified trader.”
Often you get a certificate already after Phase 1 (PDF or badge).
Psychologically clever: the euphoria is huge – you instantly feel like a pro.
Phase 2 then looks easier – lower percentage target, less pressure.
Many traders think: “I already have a certificate, I’m a pro now – I’ll crush this.”
But here’s the trap:
Some need 20–30 attempts to pass.
In total, they pay thousands in fees – for a piece of paper with no value.
Step by step, the trader is pulled into a system where it’s no longer about capital, but about repeated fee payments.
👉 Important for beginners:
Always take a break between challenge phases.
Let the euphoria cool off, reflect on mistakes, and adjust risk management.
Otherwise, the firm’s psychology will overwhelm you.
6️⃣ Scam or Learning Opportunity?
👉 From my own experience after many years of trading and testing prop firms:
For beginners, it can be gold.
Simulated rules force you into discipline.
You learn to handle drawdowns, risk limits, and trading psychology.
Free or low-cost challenges = almost like a training program.
For professionals, it’s no home.
Payouts are capped.
A real career needs your own structure (capital, company, partnerships, family office).
7️⃣ Conclusion
Prop trading is not a scam – but also not a professional career path.
For beginners: a valuable training ground
For pros: a temporary stop, not the future
For everyone: question the price of your “diploma” – it’s not real value, just marketing.
👉 Treat prop trading as education – not the end goal.
Use it to sharpen your rules.
But in parallel, build your own capital and your own structure.
🔚 Final Thought:
“A prop account can teach you rules –
but true freedom can only be built with your own capital.”
SP500 Bearish Outlook With Tight SLBearish Technical Reading
• The index is currently trading near 6,728 after a strong recovery rally.
• Nearest hypothetical major resistance: 7,125 (weekly supply + marked zone).
• Nearest key support: 6,150 – 6,170 (structural pivot, last defended level).
• Breakdown from this zone could trigger a deeper correction.
________________________________________
Bearish Trade Setup (Tighter Levels)
• Entry: Short around 6,700 – 6,750 (current resistance zone).
• Stop Loss: 7,150 (above weekly resistance to avoid fakeouts).
• Take Profit 1 (TP1): 6,150 – 6,170 (structural demand, first bearish magnet).
• Take Profit 2 (TP2): 4,820 – 4,850 (major demand, previous accumulation zone).
________________________________________
Logic Behind Levels
• Stop Loss 7,150 is placed above the marked resistance — if price breaks and holds above, bearish thesis weakens.
• TP1 at 6,150 matches the exact key support drawn on your chart — logical place to secure partials.
• TP2 at 4,820 aligns with historical strong demand and would only be targeted if shutdown-driven fear prolongs and selling accelerates.
________________________________________
SPX: modest pullback, eyes on jobsDuring the previous week a small correction occurred on the US equity markets. The S&P 500 slipped down to the level of 6.570 on Thursday, but ended the week at 6.643. Regardless of a modest correction, the index is still moving close to the overbought territory. The key U.S. economic indicator this week was the August PCE Price Index. It rose 0.3% month-over-month, pushing the annual rate to 2.7%. Core PCE, which excludes food and energy, increased 0.2% m/m and 2.9% y/y. As per CME Fed WatchTool investors are continuing to price two rate cuts till the end of this year.
Among the biggest losers in the index was CarMax, whose stock plunged around 20 % after disappointing earnings and weak commentary about demand and inventory pressures. Oracle also underperformed, falling 5.6 % after concerns were raised over optimistic cloud growth projections. On the upside, Intel was a top gainer in the S&P 500 that day, surging 8.9 %, driven by reports of possible investment talks with Apple. IBM also posted a strong gain (5.2 %), buoyed by optimism around applying its quantum computing capabilities to bond trading.
The week ahead will be focused on US jobs data. The JOLTs Job Openings in August and Unemployment rate will be posted. This might bring again some higher volatility to the US stock markets, especially if data do not meet investors expectations.
Crash ... 10 % and up 6760 is very important Pivot that price can`t pass for many reasons :
its 720 GANN angle since the uptrend begins in apr 2025 @ 4840
and it comes with upper trend that contain the price and face it down evey time it touch
Now . its matter of time before the movie start
This is how the big whales punish you when you trade in the markets
Gold at a record high
The dollar is also rising
Bonds are rising
Political tensions are increasing
Inflation is rising
Unemployment is increasing
Government shutdown
High tariffs
Yet the market hits a new record every other day by day
Patience is a virtue
Wait for a 10-15% crash before the end of the year
After they wipe out the sellers, as they always do
have a sit , have a kit kat
S&P500 - $8.000 is the ultimate target!🎊S&P500 ( TVC:SPX ) continues the bullrun:
🔎Analysis summary:
Over the course of the past couple of months, the S&P500 has been rallying +40%. However, this does not mean that the bullrun is over any time soon. Since the S&P500 perfectly respects the rising channel pattern, a move to the upper trendline is the target.
📝Levels to watch:
$8,000
SwingTraderPhil
SwingTrading.Simplified. | Investing.Simplified. | #LONGTERMVISION