ES Futures (SPX, SPY) Weekly Analyses, Levels: Sep 29 - Oct 3 Weekly Outlook
The trend remains bullish on both the weekly and daily charts, with price action re-accumulating beneath a well-defined supply zone around 6750–6760. Friday’s rebound from the low 6600s has established a higher-low structure on the 4-hour and 1-hour timeframes, closing above the mid-range of 6612–6630, which shifts near-term momentum back in favor of the buyers.
As we enter a catalyst-heavy week, the path of least resistance suggests a measured push through last week’s “weak high” zone (6750–6760). A decisive move above this supply shelf could target the psychological 6800 mark first, with potential for further upside towards 6865–6885, assuming momentum and market breadth are supportive.
Conversely, if we fail to establish acceptance above 6755, the market could revert to a 6700–6760 range, with downside risks extending to 6620 in response to any hot economic data or risk-off sentiment in the headlines.
Key catalysts this week (ET)
Mon–Thu: Fed speakers scattered; watch for rate-path color and balance-sheet remarks.
Tue 10:00: JOLTS (Aug).
Wed 8:15: ADP employment (Sep). Wed 10:00: ISM Manufacturing (Sep).
Fri 8:30: Non-Farm Payrolls & Unemployment (Sep). Fri 10:00: ISM Services (Sep).
Note: Any fiscal headlines or shutdown noise can skew liquidity and tape reactions around these prints.
Tomorrow — NY AM plan (Level-KZ Protocol 15/5/1)
ES Long (A++) — 6750–6760 Acceptance Continuation
Bias: Bullish if we get acceptance above the 6750–6760 shelf.
Trigger: 15m full-body close above 6755. Then 5m pullback holds ≥6750 and re-closes up; enter on the first 1m HL.
Entry: 6752–6756 pullback fill (avoid chasing a wick).
Stop: Hard SL below the 15m break-candle low −0.50. Viability gate: TP1 ≥ 2.0R.
Targets: TP1 6798–6805; TP2 6865–6885; TP3 6900–6915.
Management: No partials before TP1. At TP1 close 70%, move runner to BE. Trail only after TP2 or if a 5m lower-high forms against you. Time-stop 45–60m if neither TP1 nor SL hits. Max 2 attempts at this level for the session.
Invalidation: 15m body back inside ≤6748 or a failed 5m re-close (acceptance lost).
ES Short (A+) — 6750–6760 Rejection Fade
Bias: Mean-revert to base if the shelf is swept and rejected.
Trigger: Sweep 6750–6760 and 15m closes back below 6748. Then 5m re-close down with a LH; enter on the first 1m LH.
Entry: 6744–6748.
Stop: Above the rejection wick +0.50 or ≥6762, whichever is tighter.
Targets: TP1 6705; TP2 6680; TP3 6620.
Management: Take 70% at TP1, runner to BE; consider covering more ahead of 6680 into data windows. Time-stop 45–60m. Max 2 attempts.
Invalidation: 15m acceptance back above 6755 or a 5m close making new session highs.
Price Projection for the Week
Base Scenario: If we see early-week acceptance above 6755, look for targets at 6800, paving the way for a gradual move towards 6865–6885 by Friday. A soft-landing scenario, characterized by cooler labor growth and steady ISM data, could push prices even to the 6900–6915 range.
Alternative Scenario: Should we experience a rejection in the 6750–6760 range, expect the ES to remain range-bound between 6700–6760. Hot labor market data or strong ISM figures could drive the price back to 6620, where it’s crucial for buyers to defend this level to maintain the uptrend.
Execution Notes:
- Focus on trade opportunities only within key kill-zones: primary session is NY AM from 09:30–11:00; optional trading during Asia/London sessions should be done at reduced sizes.
- Adhere to daily barriers: halt trading at -2R or after achieving +3R net.
- On first touch, prioritize R0/S1 as significant; consider de-risking during second or third interactions.
Trade ideas
ES - Weekly Trading Plan - September 28th - October 3rd September 28th - 10:15am - Weekly Trade Plan
We had a great week, and Institutions continue to buy and keep price moving higher. We reached our weekly targets on Monday at 6750-52 then sold off to 6623 on Thursday which was the low of the week. Since Thursday Institutions have been buying and holding the 6653-6663 as the bull/bear line heading into this week. While price can flush lower, we really do not want to see anything lower than 6588 with a quick recovery of 6611 on a weekly basis.
Friday October 3rd is the big catalyst this week with the Employment Report at 8:30am
Key Support Levels - 6684, 6663, 6653, 6634, 6623, 6611, 6602, 6588
Key Resistance Levels - 6705, 6718, 6730, 6756
Weekly Targets - 6767, 6792, 6801, 6813+
Since we closed at the high of the day on Friday, I will post my Daily Trade Plan on Monday around 6am. That way we can see what price does in the overnight session. I anticipate that we hold the 6663 level with 6684 holding being bullish short term to continue up the levels. We could go parabolic this week into the 6800+ levels. I will be waiting on pullbacks to ride higher this week.
One thing to keep in mind is that this week is end of month/quarter and Institutions will be performing their window dressing to show clients how well their quarterly returns are doing. Unless price action changes, you have to follow the trend. Right now, the trend is up!
(I post a more detailed daily plan, and this allows me to focus on price action daily. The weekly plan is a bigger picture overview, but obviously that can change at any time based on daily price action) - *Follow me so you don't miss my daily updates
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Purple Levels - Weekly High/Low
Green Levels - Weekly Targets
Yellow Levels - Daily Key Levels (See Daily Trade Plan)
White - Rising trendlines from august lows
S&P 500 FuturesThe S&P 500 futures have once again advanced over the past month and have once reached a new all-time high. From a technical perspective, the market is currently in overbought territory, which leaves room for a potential pullback. In such a scenario, the index may test the support level around 6,000, with intermediate support at 6,400.
Another factor supporting the case for a correction is the fact that from August through October, equities typically exhibit seasonal weakness. Nevertheless, the long-term trend remains firmly bullish.
Long-term trend: Up
Resistance level: 6,800
Support level: 6,000, 6400
$5 Billion Nvidia & Intel Deal = Moon?Key Drivers of the Rally
Fed Rate Cut
The Federal Reserve cut short‐term interest rates by 25 basis points this week — the first rate cut in a while. That typically boosts equities because borrowing costs fall, making future earnings more valuable.
The cut also signalled that further easing might be possible, which increases optimism about slower financing conditions ahead.
Strong Tech & AI Sentiment
Tech names, especially those involved in AI, chip manufacturing, cloud, data centres, have had good news. For example, Nvidia & Intel made a joint investment/partnership plan which lifted Intel heavily and helped boost tech indices.
Nvidia is buying $5 billion of Intel common stock at $23.28/share, which gives Nvidia about a 4% stake in Intel.
This comes after recent government investment in Intel (the U.S. got a ~10% stake) to shore up its competitive position.
Day 39 — Trading Only S&P Futures | -$2,465 DrawdownDay 39 of Trading Only S&P Futures ends with a tough -$2,465 loss.
The morning started strong — I was green on my first three trades with bullish signals at the open. But by 10am, unexpected news about a government shutdown and rate cut doubts shook the market. I got shaken out, lost my morning gains, and ended the day deep in the red.
In hindsight, if I had trusted my analysis, kept my MOB buy-the-dip orders, and stayed patient, I would’ve finished green. Instead, I let the news trigger me and broke discipline.
🔑 Key Levels for Tomorrow
Above 6705 = Flip Bullish
Below 6675 = Flip Bearish
ES - September 26th - Daily Trade PlanSeptember 26th - 6:30am EST
*Before reading this trade plan, IF, you did not read yesterdays, or the weekly trade plan take the time to read it first! (You can see both posts in the related publication section) *
If my posts provide quality information that has helped you with your trading journey. Feel free to boost it for others to find and learn, also!
You can review yesterday's plan and the updated notes as I trade during the day. This commentary is intended for myself to easily be able to go back and review my plan and how I did from an execution perspective.
We had some key levels that were lost yesterday and until we clear 6684, bears are in control. We are now trading below the white trendline magnet that I have been discussing for over a month. My lean is that we could chop around today between 6674 and 6633 with 6653 being our mid-point.
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Overnight session high is 6674 and low is 6653. We have the White Trendline Magnet above at around 6675. My lean is we fill out and chop around this 6674-6633 level. Any, loss of 6624 would see 6611 as first area of support.
Key Support Levels - 6653,6644, 6633,6624, 6611,6602, 6588,6575, 6541
Key Resistance Levels - 6668, 6674, 6679, 6684, 6688, 6694, 6705
I will be looking for a flush of 6653 and reclaim as first level for some points. IF, we lose 6650, I would wait for the flush and reclaim of 6633 or 6624. 6633 has been used up 2x yesterday, so we could slice through it. 6611 (Weekly Low) would be the next best area for liquidity to long.
I will post an update around 10am EST.
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Couple of things about how I color code my levels.
1. Purple shows the weekly Low
2. Red shows the current overnight session High/Low (time of post)
3. Blue shows the previous day's session Low (also other previous day's lows)
4. Yellow Levels are levels that show support and resistance levels of interest.
5. White shows the trendline from the August lows.
Core Concepts of Digital Assets & Economy1. Defining the Digital Economy
The digital economy refers to all economic activities that are based on or significantly shaped by digital technologies. It is built upon the interconnectedness of the internet, cloud computing, mobile applications, artificial intelligence (AI), blockchain, and big data analytics.
Key characteristics of the digital economy include:
Intangibility of Value – Value is increasingly derived from information, algorithms, and digital assets rather than physical goods.
Global Connectivity – The digital economy transcends geographical borders, enabling instant cross-border transactions.
Platform-Centric Business Models – Companies like Amazon, Google, and Alibaba leverage platforms to connect producers and consumers digitally.
Data as the New Oil – Data is both an asset and a currency in the digital economy, driving decision-making, personalization, and automation.
The digital economy represents a shift from traditional capital and labor-based growth models to innovation, intellectual property, and technological adoption.
2. What Are Digital Assets?
A digital asset is any item of value that exists in digital form and can be owned, transferred, or exchanged. While traditional assets such as stocks, bonds, or real estate are physical or paper-based, digital assets are intangible and exist in electronic environments.
Examples include:
Cryptocurrencies like Bitcoin and Ethereum
Tokenized assets (fractional ownership of real estate, stocks, or commodities)
Non-Fungible Tokens (NFTs) representing art, music, or collectibles
Intellectual property (patents, copyrights, digital designs)
Virtual goods in gaming ecosystems
Personal data and digital identities
Core properties of digital assets:
Intangibility – Exists only in digital form.
Transferability – Can be exchanged globally within seconds.
Programmability – Assets can be coded with rules (smart contracts).
Security & Scarcity – Blockchain ensures authenticity and prevents duplication.
3. Classifications of Digital Assets
Digital assets can be broadly categorized into the following:
a. Cryptocurrencies
Decentralized digital currencies secured by cryptography, such as Bitcoin, Ethereum, and stablecoins. They serve as mediums of exchange, stores of value, and units of account in the digital economy.
b. Security Tokens
Digitized representations of traditional financial instruments like stocks, bonds, or derivatives. They are regulated and offer investor rights, dividends, and voting power.
c. Utility Tokens
Tokens that grant access to a product or service within a specific blockchain ecosystem. Example: Ether (ETH) is used to pay for transactions on Ethereum.
d. Non-Fungible Tokens (NFTs)
Unique digital certificates of ownership for art, collectibles, music, and other creative assets. They have revolutionized content monetization.
e. Central Bank Digital Currencies (CBDCs)
Digital versions of national currencies issued by central banks. Examples: e-CNY (China), Digital Euro, and India’s e-Rupee.
f. Tokenized Real-World Assets
Fractional ownership of real-world assets (real estate, gold, art) represented digitally, enabling liquidity and global access.
4. Technological Foundations
The rise of digital assets and the digital economy is powered by several foundational technologies:
Blockchain & Distributed Ledger Technology (DLT) – Ensures transparency, immutability, and security in digital asset transactions.
Smart Contracts – Self-executing agreements coded into blockchains, enabling automation of trust.
Artificial Intelligence & Machine Learning – Power predictive analytics, personalized services, and fraud detection.
Cloud Computing – Provides scalability and infrastructure for digital platforms.
Internet of Things (IoT) – Connects devices and enables real-time data-driven economic models.
Cybersecurity – Protects data, digital identities, and financial transactions.
5. Economic Implications of Digital Assets
The integration of digital assets into global markets has profound economic consequences:
Financial Inclusion – Cryptocurrencies and mobile banking provide unbanked populations access to financial services.
New Forms of Value Creation – NFTs empower artists and creators to monetize directly without intermediaries.
Liquidity in Illiquid Markets – Tokenization makes assets like real estate and fine art more accessible and tradable.
Disintermediation – Blockchain eliminates traditional intermediaries (banks, brokers), reducing costs.
Cross-Border Trade – Digital currencies enable instant, low-cost international remittances.
Gig & Creator Economy Expansion – Platforms monetize skills, data, and content more efficiently.
6. Digital Assets as a New Asset Class
Digital assets are increasingly recognized as a distinct asset class in investment portfolios. Institutional adoption is rising, with hedge funds, pension funds, and sovereign wealth funds diversifying into cryptocurrencies and tokenized assets.
Key investment features:
Volatility & High Returns – Cryptocurrencies are volatile but potentially yield high returns.
Correlation Diversification – Digital assets often move differently from traditional equities and bonds.
Hedging Against Inflation – Bitcoin is often termed “digital gold” due to its scarcity.
Programmable Income – DeFi allows investors to earn yield through staking, lending, and liquidity provision.
7. Risks & Challenges
While digital assets promise innovation, they come with risks:
Volatility – Price swings can destabilize portfolios.
Regulatory Uncertainty – Lack of uniform global frameworks creates risks for investors and businesses.
Cybersecurity Threats – Hacks and frauds remain major concerns in exchanges and wallets.
Scalability Issues – Networks like Ethereum face high transaction costs during peak demand.
Environmental Concerns – Proof-of-Work blockchains consume significant energy.
Illicit Use – Cryptocurrencies have been linked to money laundering and dark web activities.
8. Regulation of Digital Assets
Governments worldwide are grappling with regulating digital assets:
United States – The SEC and CFTC regulate cryptocurrencies as securities or commodities depending on classification.
European Union – Introduced MiCA (Markets in Crypto-Assets Regulation) to standardize frameworks.
China – Banned cryptocurrencies but promotes its CBDC, e-CNY.
India – Taxed crypto gains but has yet to establish a comprehensive regulatory law.
Global Organizations – The IMF and BIS advocate for international cooperation on digital currency regulation.
Regulation aims to balance innovation and investor protection, prevent financial crime, and ensure monetary stability.
9. The Digital Economy Ecosystem
The digital economy is composed of multiple interconnected ecosystems:
E-commerce & Digital Platforms – Amazon, Flipkart, and Alibaba dominate online retail.
Digital Finance & Fintech – Payment apps (PayPal, UPI, Stripe) and DeFi platforms.
Gig & Freelance Economy – Platforms like Upwork and Fiverr enable remote work monetization.
Metaverse & Virtual Economies – Virtual real estate, gaming assets, and social experiences.
Data Economy – Data marketplaces and AI-driven businesses monetize personal and enterprise data.
10. Future of Digital Assets & the Digital Economy
Looking ahead, digital assets will continue to reshape economies:
Mainstream Adoption – With regulatory clarity, institutional and retail adoption will surge.
Rise of CBDCs – National digital currencies will modernize monetary systems.
Tokenization of Everything – From cars to carbon credits, all assets may become tradable on blockchains.
Integration with AI & IoT – Smart cities and autonomous economies will emerge.
Decentralized Autonomous Organizations (DAOs) – Communities will govern businesses democratically through tokens.
Sustainable Finance – Shift to energy-efficient blockchain systems.
11. Case Studies
a. Bitcoin’s Role in Inflation-Hedging
During periods of global uncertainty, Bitcoin has been compared to gold as a hedge against inflation. In countries like Venezuela and Turkey, citizens turned to Bitcoin when national currencies collapsed.
b. NFTs in the Creative Industry
Artists like Beeple sold digital art for millions using NFTs, disrupting the traditional art world by eliminating galleries as gatekeepers.
c. China’s e-CNY Experiment
China is pioneering CBDC adoption through pilot programs in cities, with potential to influence cross-border trade settlement systems.
12. Ethical & Social Considerations
Digital assets also raise ethical debates:
Data Privacy – Who owns and monetizes personal data?
Digital Divide – Wealthier nations may dominate digital finance while poorer countries lag.
Speculation vs. Utility – Many crypto projects focus more on speculation than genuine utility.
Sustainability – Transition to green blockchain systems is crucial for climate goals.
Conclusion
The fusion of digital assets and the digital economy represents a fundamental transformation of global finance, trade, and innovation. Digital assets are not merely speculative instruments but new forms of value representation that empower individuals, democratize finance, and reimagine ownership. Meanwhile, the digital economy provides the infrastructure, platforms, and ecosystems where these assets thrive.
However, this transformation is not without risks—volatility, regulation, cybersecurity, and ethical challenges must be addressed to ensure stability and inclusivity. As technology evolves, the future will likely see a convergence of blockchain, AI, IoT, and tokenization, shaping a borderless, data-driven economy.
In essence, understanding the core concepts of digital assets and the digital economy is crucial not only for investors and policymakers but also for individuals and businesses seeking to thrive in an increasingly digital world.
Core Concepts of Digital Assets & Economy1. Defining the Digital Economy
The digital economy refers to all economic activities that are based on or significantly shaped by digital technologies. It is built upon the interconnectedness of the internet, cloud computing, mobile applications, artificial intelligence (AI), blockchain, and big data analytics.
Key characteristics of the digital economy include:
Intangibility of Value – Value is increasingly derived from information, algorithms, and digital assets rather than physical goods.
Global Connectivity – The digital economy transcends geographical borders, enabling instant cross-border transactions.
Platform-Centric Business Models – Companies like Amazon, Google, and Alibaba leverage platforms to connect producers and consumers digitally.
Data as the New Oil – Data is both an asset and a currency in the digital economy, driving decision-making, personalization, and automation.
The digital economy represents a shift from traditional capital and labor-based growth models to innovation, intellectual property, and technological adoption.
2. What Are Digital Assets?
A digital asset is any item of value that exists in digital form and can be owned, transferred, or exchanged. While traditional assets such as stocks, bonds, or real estate are physical or paper-based, digital assets are intangible and exist in electronic environments.
Examples include:
Cryptocurrencies like Bitcoin and Ethereum
Tokenized assets (fractional ownership of real estate, stocks, or commodities)
Non-Fungible Tokens (NFTs) representing art, music, or collectibles
Intellectual property (patents, copyrights, digital designs)
Virtual goods in gaming ecosystems
Personal data and digital identities
Core properties of digital assets:
Intangibility – Exists only in digital form.
Transferability – Can be exchanged globally within seconds.
Programmability – Assets can be coded with rules (smart contracts).
Security & Scarcity – Blockchain ensures authenticity and prevents duplication.
3. Classifications of Digital Assets
Digital assets can be broadly categorized into the following:
a. Cryptocurrencies
Decentralized digital currencies secured by cryptography, such as Bitcoin, Ethereum, and stablecoins. They serve as mediums of exchange, stores of value, and units of account in the digital economy.
b. Security Tokens
Digitized representations of traditional financial instruments like stocks, bonds, or derivatives. They are regulated and offer investor rights, dividends, and voting power.
c. Utility Tokens
Tokens that grant access to a product or service within a specific blockchain ecosystem. Example: Ether (ETH) is used to pay for transactions on Ethereum.
d. Non-Fungible Tokens (NFTs)
Unique digital certificates of ownership for art, collectibles, music, and other creative assets. They have revolutionized content monetization.
e. Central Bank Digital Currencies (CBDCs)
Digital versions of national currencies issued by central banks. Examples: e-CNY (China), Digital Euro, and India’s e-Rupee.
f. Tokenized Real-World Assets
Fractional ownership of real-world assets (real estate, gold, art) represented digitally, enabling liquidity and global access.
4. Technological Foundations
The rise of digital assets and the digital economy is powered by several foundational technologies:
Blockchain & Distributed Ledger Technology (DLT) – Ensures transparency, immutability, and security in digital asset transactions.
Smart Contracts – Self-executing agreements coded into blockchains, enabling automation of trust.
Artificial Intelligence & Machine Learning – Power predictive analytics, personalized services, and fraud detection.
Cloud Computing – Provides scalability and infrastructure for digital platforms.
Internet of Things (IoT) – Connects devices and enables real-time data-driven economic models.
Cybersecurity – Protects data, digital identities, and financial transactions.
5. Economic Implications of Digital Assets
The integration of digital assets into global markets has profound economic consequences:
Financial Inclusion – Cryptocurrencies and mobile banking provide unbanked populations access to financial services.
New Forms of Value Creation – NFTs empower artists and creators to monetize directly without intermediaries.
Liquidity in Illiquid Markets – Tokenization makes assets like real estate and fine art more accessible and tradable.
Disintermediation – Blockchain eliminates traditional intermediaries (banks, brokers), reducing costs.
Cross-Border Trade – Digital currencies enable instant, low-cost international remittances.
Gig & Creator Economy Expansion – Platforms monetize skills, data, and content more efficiently.
6. Digital Assets as a New Asset Class
Digital assets are increasingly recognized as a distinct asset class in investment portfolios. Institutional adoption is rising, with hedge funds, pension funds, and sovereign wealth funds diversifying into cryptocurrencies and tokenized assets.
Key investment features:
Volatility & High Returns – Cryptocurrencies are volatile but potentially yield high returns.
Correlation Diversification – Digital assets often move differently from traditional equities and bonds.
Hedging Against Inflation – Bitcoin is often termed “digital gold” due to its scarcity.
Programmable Income – DeFi allows investors to earn yield through staking, lending, and liquidity provision.
7. Risks & Challenges
While digital assets promise innovation, they come with risks:
Volatility – Price swings can destabilize portfolios.
Regulatory Uncertainty – Lack of uniform global frameworks creates risks for investors and businesses.
Cybersecurity Threats – Hacks and frauds remain major concerns in exchanges and wallets.
Scalability Issues – Networks like Ethereum face high transaction costs during peak demand.
Environmental Concerns – Proof-of-Work blockchains consume significant energy.
Illicit Use – Cryptocurrencies have been linked to money laundering and dark web activities.
8. Regulation of Digital Assets
Governments worldwide are grappling with regulating digital assets:
United States – The SEC and CFTC regulate cryptocurrencies as securities or commodities depending on classification.
European Union – Introduced MiCA (Markets in Crypto-Assets Regulation) to standardize frameworks.
China – Banned cryptocurrencies but promotes its CBDC, e-CNY.
India – Taxed crypto gains but has yet to establish a comprehensive regulatory law.
Global Organizations – The IMF and BIS advocate for international cooperation on digital currency regulation.
Regulation aims to balance innovation and investor protection, prevent financial crime, and ensure monetary stability.
9. The Digital Economy Ecosystem
The digital economy is composed of multiple interconnected ecosystems:
E-commerce & Digital Platforms – Amazon, Flipkart, and Alibaba dominate online retail.
Digital Finance & Fintech – Payment apps (PayPal, UPI, Stripe) and DeFi platforms.
Gig & Freelance Economy – Platforms like Upwork and Fiverr enable remote work monetization.
Metaverse & Virtual Economies – Virtual real estate, gaming assets, and social experiences.
Data Economy – Data marketplaces and AI-driven businesses monetize personal and enterprise data.
10. Future of Digital Assets & the Digital Economy
Looking ahead, digital assets will continue to reshape economies:
Mainstream Adoption – With regulatory clarity, institutional and retail adoption will surge.
Rise of CBDCs – National digital currencies will modernize monetary systems.
Tokenization of Everything – From cars to carbon credits, all assets may become tradable on blockchains.
Integration with AI & IoT – Smart cities and autonomous economies will emerge.
Decentralized Autonomous Organizations (DAOs) – Communities will govern businesses democratically through tokens.
Sustainable Finance – Shift to energy-efficient blockchain systems.
11. Case Studies
a. Bitcoin’s Role in Inflation-Hedging
During periods of global uncertainty, Bitcoin has been compared to gold as a hedge against inflation. In countries like Venezuela and Turkey, citizens turned to Bitcoin when national currencies collapsed.
b. NFTs in the Creative Industry
Artists like Beeple sold digital art for millions using NFTs, disrupting the traditional art world by eliminating galleries as gatekeepers.
c. China’s e-CNY Experiment
China is pioneering CBDC adoption through pilot programs in cities, with potential to influence cross-border trade settlement systems.
12. Ethical & Social Considerations
Digital assets also raise ethical debates:
Data Privacy – Who owns and monetizes personal data?
Digital Divide – Wealthier nations may dominate digital finance while poorer countries lag.
Speculation vs. Utility – Many crypto projects focus more on speculation than genuine utility.
Sustainability – Transition to green blockchain systems is crucial for climate goals.
Conclusion
The fusion of digital assets and the digital economy represents a fundamental transformation of global finance, trade, and innovation. Digital assets are not merely speculative instruments but new forms of value representation that empower individuals, democratize finance, and reimagine ownership. Meanwhile, the digital economy provides the infrastructure, platforms, and ecosystems where these assets thrive.
However, this transformation is not without risks—volatility, regulation, cybersecurity, and ethical challenges must be addressed to ensure stability and inclusivity. As technology evolves, the future will likely see a convergence of blockchain, AI, IoT, and tokenization, shaping a borderless, data-driven economy.
In essence, understanding the core concepts of digital assets and the digital economy is crucial not only for investors and policymakers but also for individuals and businesses seeking to thrive in an increasingly digital world.
ES Futures (SPX) - Analyses, Key-Zones, Setups - Thu, Sep 26News & catalysts (ET)
8:30 — PCE & Core PCE (Aug) , the Fed’s preferred inflation gauges. Market focus is on Core PCE ~2.9% YoY and ~0.2% MoM consensus.
10:00 — University of Michigan Consumer Sentiment (final Sep) . Scheduled time confirmed by
Fed speakers: Vice Chair for Supervision Bowman in a 10:00 discussion;
Fed Board’s Beth Anne Wilson remarks at 8:45 at a New York Fed conference.
Earnings/overnight tone: Costco (COST) reported FY Q4 results Thu after close; headlines can sway retail/consumer sentiment pre-open. Nike (NKE) is due Tue 9/30 after close (next week).
Bias:
Base case: Two-way trade into 8:30, directional break afterward.
If Core PCE ≤ 0.2% MoM or ≤ 2.8% YoY: risk-on; favor upside continuation through near-term supply toward 6700+.
If Core PCE ≥ 0.3% MoM or ≥ 3.0% YoY: risk-off; favor sell-the-rips into 6630 → 6605 ladder.
Secondary input 10:00: Michigan Sentiment can add a second impulse; weak sentiment keeps rallies fragile.
PA roadmap
Overnight: Expect balance inside 6655–6675 until 8:30. Liquidity likely pools above 6675 and below 6650 for the data sweep.
NY AM (09:30–11:00): Trade the post-8:30 acceptance: continuation if 15m structure accepts beyond a zone; fade if we get swift rejection back inside.
NY PM (13:30–16:00): Look for consolidation breaks toward untested AM extremes; avoid initiating inside mid-range chop.
Setups (Level-KZ Protocol 15/5/1)
A++ Acceptance Long (major)
Trigger: 15m full-body close above 6670–6675, followed by 5m pullback that re-closes above.
Entry: 1m HL after the 5m re-close.
SL: Below the 15m trigger wick −0.25–0.50 pts.
TPs: TP1 6705, TP2 6725, TP3 6760–6765.
Management: No partials before TP1; at TP1 close 70%, set 30% runner to BE; runner aims TP2→TP3. Time-stop 45–60m if neither TP1 nor SL hits.
Invalidation: 15m body back inside 6670 (acceptance lost).
A++ Acceptance Short (major)
Trigger: 15m full-body close below 6655, then 5m pullback that fails and re-closes below.
Entry: 1m LH after the 5m re-close.
SL: Above the 15m trigger wick +0.25–0.50 pts.
TPs: TP1 6631–6635, TP2 6605–6608, TP3 6580–6585.
Management: Same as above.
Invalidation: 15m body back above 6658.
Day 38 — Trading Only S&P Futures | +$1,935 WinI’m trading one system, one ticker — S&P 500 futures — every single day for a full year. I journal every session to track progress, reflect, and sharpen my execution.
If you’re serious about building consistency and treating trading like a business, you’re in the right place.
Stick around — at the end, I’ll break down the key levels I’m watching for tomorrow. Let’s go.
Recap & Trades
Day 38 was different — I woke up late, wasn’t feeling well, and missed the morning’s big drop and recovery. Instead of forcing trades, I stayed patient on the sidelines.
By the afternoon, DL and DD signals lined up beautifully. That’s when I stepped in, executed clean trades, and finished the session +$1,935. Proof that sometimes the best edge is waiting until the market gives you alignment.
S&P 500: Rally Stalls, but Further Upside LikelyMidweek, the S&P 500 struggled to find the momentum needed to extend its climb within the magenta wave (3). However, our primary outlook still calls for this wave to reach a somewhat higher high. Afterward, wave (4) of the same color is expected to take over, guiding the index into the magenta Target Zone between 6,283 and 5,781 points. In wave (5), another upward phase is anticipated, which should ultimately complete the broader uptrend of the blue wave (III) at an even higher price level.
ES - September 25th - Daily Trade PlanSeptember 25th - 6:30am EST
Before reading this trade plan, IF, you did not read yesterdays, or the weekly trade plan take the time to read it first! (You can see both posts in the related publication section)
Yesterday I posted on my 9:15am Note:
"One thing to remember is that last week's high was 6731. We could easily open at 9:30am and pop above the 6728 to 6731-33 level and then sell off back inside the range and flush lower. Above 6733 and we should continue to back test 6741-44 level. This is a very tight range, and I would be cautious and not chase price. Only enter based on your edge. I will be following my plan! I really like the flush and reclaim of 6692-96 as our next level to find some liquidity."
What happened at the open? We tested 6728 one more time, lost 6721, then kept moving lower. We bounced at the 6705 level, then sliced through down to 6685.
At 11:57am, I posted the following - "We should get a short squeeze around this area. Watch for 6684-87 and reclaim of 6694." At 12:12pm we put in a perfect failed breakdown of the 6679 blue level on our chart. You can see on the 1 min chart that price tested the level, bounced, came back down and retested without losing the low, and you can then buy when it cleared 6682.
On my 12:30pm - Update I wrote -
"Price hit the 6679.25 blue level, back tested it and held. Then rallied. I bought a position at 6681 and sold it at 6691 and have a runner at 6683. I will move it up, IF, price continues to rally. Any pull back we need to hold 6684. That would be a possible entry, IF, you missed this move. I would not chase. Let price build structure from this short squeeze."
At 12:57pm we back tested down to 6686 and rallied up to 6700.
Yesterday was a great day for me and being patient and waiting for the blue levels to flush and reclaim is a gold mine when we have this level of volatility. I expect these types of moves to continue over the coming months. IF, you want to be successful in trading there are 3 main rules you have to obey.
1. NEVER SHORT ES - You make much more money with the short squeeze we saw yesterday at key levels than trying to pick when Institutions will sell.
2. Wait for the key levels to flush and reclaim and buy once you see structure and that price is not going to sell below that level once tested.
3. Sell at each level above. DO NOT predetermine how many levels price will go. Always, take profits when they are available.
A good example of this was when I wrote the following yesterday at 1:12pm -
"We back tested down to 6686 and then have rallied up and into some overhead resistances at 6697. I just sold my runner at 6697. Price can still keep going higher, but I wanted to lock in gains for the day, so I can be off my desk this afternoon. I had a great day, and it has been a great week. No reason to be greedy."
Why did I sell at 6697? It was a key resistance on my chart. Did price sell off? Yes, it did. IF, I had held I would have lost out on the gains that I locked in.
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Overnight session high is 6705 and low is 6684. We have the White Trendline Magnet below at around 6670. My lean is we will flush 6684 down to the 6670, 6663, 6661 levels, and put in a nice bounce to back test the 6684 level and potentially higher.
6705 is the key level for bulls to reclaim to keep us moving higher, then 6731.
Key Support Levels - 6684, 6679, 6670, 6663, 6661
Key Resistance Levels - 6697, 6705, 6711-15, 6731
My lean is we get a flush down to the white trend line around the NYSE open and retail traders will think we are going to go much lower and then we get a short squeeze. This white trendline has been tested 3x and might have one more good bounce left in it. IF, price cannot close the week above 6685, we could be in for lower prices next week.
I will post an update around 10am EST.
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Couple of things about how I color code my levels.
1. Purple shows the weekly Low
2. Red shows the current overnight session High/Low (time of post)
3. Blue shows the previous day's session Low (also other previous day's lows)
4. Yellow Levels are levels that show support and resistance levels of interest.
5. White shows the trendline from the August lows.
Why Emerging Economies Are Driving Global ProfitsPart 1: Understanding Emerging Economies
1.1 Definition of Emerging Economies
Emerging economies are countries transitioning from low-income to middle- or high-income status. They typically feature:
Rapid GDP growth
Increasing industrialization
Expanding consumer base
Integration into global markets
Structural reforms improving business conditions
Examples include China, India, Brazil, South Africa, Mexico, Turkey, Vietnam, and Indonesia. Collectively, they form key groups such as the BRICS (Brazil, Russia, India, China, South Africa) and MINT (Mexico, Indonesia, Nigeria, Turkey).
1.2 Why They Matter Today
Emerging markets contribute over 60% of global GDP growth.
They account for the majority of global trade growth.
Hundreds of millions of people are entering the middle class, becoming powerful consumers.
Part 2: Historical Shifts in Global Profit Centers
2.1 Post-WWII Era: Developed Market Dominance
After WWII, developed nations rebuilt with the help of the Marshall Plan, became hubs of manufacturing, and dominated global profits. Emerging economies were peripheral, often tied to resource exports.
2.2 1980s–1990s: Liberalization & Globalization
China opened its economy in 1978, setting the stage for massive manufacturing growth.
India liberalized in 1991, spurring IT and service sector expansion.
Eastern Europe joined global trade networks after the Soviet Union’s fall.
This era marked the shift of supply chains toward emerging economies.
2.3 2000s Onwards: The Rise of Emerging Market Giants
China became the “world’s factory”, exporting everything from textiles to electronics.
India became the “back office of the world”, leading IT services and outsourcing.
Brazil and Russia leveraged commodities to drive global profits.
Southeast Asia became a hub for electronics, shipping, and consumer manufacturing.
Today, multinational profits are increasingly tied to emerging market demand rather than just low-cost production.
Part 3: Structural Drivers of Profit Growth
3.1 Demographic Advantages
Young, growing populations in countries like India, Indonesia, and Nigeria fuel workforce availability and consumption.
By 2030, emerging markets will account for two-thirds of the global middle class.
3.2 Urbanization & Infrastructure Development
Rapid urbanization is creating megacities in Asia and Africa.
Infrastructure investments—roads, ports, airports, digital connectivity—unlock new markets.
Real estate, transport, and construction generate huge profits for companies.
3.3 Consumer Market Expansion
Rising incomes = growing demand for consumer goods, services, healthcare, and technology.
Emerging markets are becoming demand centers, not just supply bases.
Example: India’s smartphone penetration skyrocketed due to affordable mobile internet.
3.4 Digital Leapfrogging
Many emerging economies skipped traditional development stages and adopted mobile-first, digital solutions.
Mobile banking in Africa, e-commerce in Southeast Asia, and super-apps in China illustrate this.
These innovations generate new ecosystems of profit.
3.5 Global Supply Chain Integration
Companies diversify manufacturing beyond developed nations into Asia, Latin America, and Africa.
“China+1 strategy” pushes investments into Vietnam, India, and Indonesia.
This integration spreads profits across emerging economies.
Part 4: Sectoral Profit Engines
4.1 Technology & Digital Economy
China: home to Alibaba, Tencent, Huawei.
India: global IT services hub with Infosys, TCS, Wipro.
Southeast Asia: booming e-commerce platforms like Shopee, Lazada, Tokopedia.
The digital economy is a major source of profit, fueled by young, tech-savvy consumers.
4.2 Manufacturing & Industrial Growth
China leads global electronics and machinery production.
Vietnam and Bangladesh dominate textiles and apparel exports.
India is growing in pharmaceuticals, automobiles, and electronics.
4.3 Energy & Commodities
Brazil, Russia, and South Africa drive profits in oil, gas, minerals, and agriculture.
Emerging markets are both producers (exporting raw materials) and consumers (fueling demand).
4.4 Financial Services
Microfinance and digital banking in Africa and Asia empower new customers.
Fintech innovation (UPI in India, M-Pesa in Kenya) creates profit opportunities.
4.5 Healthcare & Education
Rising incomes = higher demand for private healthcare and education.
Medical tourism in India, Thailand, and Mexico is booming.
Emerging market pharmaceutical companies are gaining global market share.
Part 5: Why Multinationals Depend on Emerging Markets
5.1 Revenue Diversification
Western companies increasingly rely on emerging markets for growth.
Example: Apple, Coca-Cola, and Unilever earn significant profits from Asia and Africa.
5.2 Scale of Demand
Emerging markets offer hundreds of millions of consumers in a single country.
Example: India’s population (1.4 billion) provides unmatched consumer scale.
5.3 Innovation Opportunities
Companies innovate products suited for cost-sensitive, value-driven markets.
Example: Tata’s $2,500 Nano car, or Nestlé’s single-serve sachets of coffee in rural markets.
5.4 Strategic Partnerships
Multinationals partner with local firms for distribution, branding, and market entry.
Example: Walmart’s investment in Flipkart (India).
Part 6: Challenges and Risks
6.1 Political & Regulatory Uncertainty
Sudden policy changes, trade barriers, and corruption can affect profits.
6.2 Infrastructure Gaps
Logistics and energy shortages can constrain business growth.
6.3 Currency Volatility
Emerging market currencies can be unstable, impacting corporate earnings.
6.4 Competition from Local Firms
Domestic champions in China and India rival multinational dominance.
6.5 Environmental & Social Concerns
Rapid industrialization raises sustainability challenges.
Firms must balance profits with ESG commitments.
Part 7: Future Outlook
7.1 Emerging Markets as Global Growth Engines
By 2050, China and India together could account for nearly 40% of global GDP.
Africa is set to be the next frontier, with a billion young consumers by 2040.
7.2 Green Energy & Sustainability
Transition to renewable energy creates profit opportunities in solar, wind, and EVs.
India and China are among the world’s biggest renewable investors.
7.3 Digital Transformation
Artificial intelligence, fintech, and e-commerce will accelerate profit growth.
Emerging markets are not just catching up—they are leading in many niches.
7.4 Multipolar World Order
Emerging economies are shaping trade, investment, and geopolitics.
BRICS+ expansion signals a new era of South-South cooperation.
Conclusion
Emerging economies are no longer “peripheral players.” They have become the epicenter of global profits, thanks to:
Rapid economic growth
Expanding consumer markets
Technological leapfrogging
Integration into global trade
Yes, risks remain—political instability, infrastructure gaps, and volatility—but the profit story is undeniable. For businesses, investors, and policymakers, the rise of emerging economies is the defining story of the 21st century.
ES-mini Futures - (SPX) Analyses for Sep 25Market drivers for Thu, Sep 25 (ET)
• 8:30 — GDP 2Q (Third estimate) + Corporate Profits (annual update). Official BEA release.
• 8:30 — Durable Goods (Advance, Aug). Census M3 advance report (release time 8:30 a.m. ET).
• 8:30 — Initial Jobless Claims (weekly). DoL weekly claims (standard Thu 8:30 a.m. ET cadence).
• 10:00 — Existing-Home Sales (Aug). National Association of Realtors, scheduled for Thu 10:00 a.m. ET.
• Fed speakers — Vice Chair Bowman: 9:00 a.m. (Economic Outlook) and 1:00 p.m. (Approach to Monetary Policy).
• Treasury — Multiple bill auctions scheduled for Sep 25 (4-, 6-, 13-, 26-, 52-week). Watch rate/curve reaction around midday.
• (Context) Atlanta Fed GDPNow next update Fri, Sep 26 (used by markets for GDP tracking).
Risk windows to respect: 8:30 (data cluster) and 10:00 (housing). Avoid fresh entries ~5m before/after these prints; expect liquidity gaps.
Overall bias & PA projection (overnight → tomorrow)
Structure: Uptrend on higher timeframes, but near a weekly/4H supply cap ~6,76x–6,78x with a fresh H1 pullback printed.
Bias into NY: Balanced-to-slightly-bullish if 6,67x holds. Below that, rotation toward the extension cluster 6,66x–6,64x likely before buyers try again.
Overnight projection: Asia/London likely to range 6,68x–6,70x. A London stop-run under 6,678 that quickly reclaims sets the stage for NY bounce. Acceptance below 6,672 opens 6,659 → 6,640 → 6,619.
NY session — A++ setups (Level-KZ Protocol 15/5/1)
Management rules (as usual): TP1 = next opposing MAJOR level; close 70% at TP1, leave 30% runner → TP2/TP3; hard SL = 15m trigger wick ±0.25–0.50pt; time-stop 45–60m; max 2 attempts per level.
ES SHORT (A++) — Rejection Fade at 6,735–6,750
Trigger: 15m rejection close back inside the zone → 5m re-close down with LH → 1m pullback fail to enter.
Entry: 6,740 ±2 (within zone after the 1m pullback).
SL: Above the 15m signal wick / hard cap 6,768.
• TP1: 6,700 pivot.
• TP2: 6,678–6,672 shelf.
• TP3: 6,659–6,640 ext cluster.
Invalidation / maintenance: Two whipsaws or a 15m body-through ≥1.0pt above 6,768 → demote/stand down; acceptance >6,768 flips bias to longs toward 6,78x.
ES LONG (A++) — Acceptance-Continuation from 6,658–6,642
Context: High-prob “flush & reclaim” at the extension cluster before/after 8:30 data.
Trigger: 15m full-body close back above 6,652, 5m HL + re-close up, 1m HL entry.
Entry: 6,650 ±3 after reclaim.
SL: Below the 15m signal wick / hard cap 6,637.
• TP1: 6,700 pivot.
• TP2: 6,724–6,735 supply.
• TP3: 6,760–6,770 (weekly cap).
Notes: If the 8:30 print gaps price through TP1 immediately, manage fills but still honor runner plan; no trailing before TP2 per protocol.
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London session game plan (02:00–05:00 ET)
Base case: Range 6,678–6,700 with liquidity sweeps. Reclaim of 6,700 during London often fades back into the range; prefer patience for NY AM.
Alternative: London sell program to 6,66x–6,64x → if quick reclaim above 6,652, that’s the Tier-2 bounce that feeds the NY long setup.
Bear path: Acceptance <6,640 in London → prepare for a trend-day lower toward 6,619 unless NY reverses on data.
Day 37 — Trading Only S&P Futures | +$1,559 Bearish BreakdownDay 37 of Trading Only S&P Futures is wrapped up with a strong green day — finishing +$1,559.
The session didn’t start smooth. Running on 4 hours of sleep, I accidentally put in a buy order instead of a sell order at the 1-min MOB level. That mistake cost me some early profits, but once I flipped short, the bearish structure was undeniable.
From there, it was all about riding the trend down — stacking shorts as sell signals and structure aligned. A strong reminder that even with mistakes, discipline and following the signals can still turn the day around.
🔑 Key Levels for Tomorrow
Above 6725 = Flip Bullish
Below 6708 = Remain Bearish
Bulls Spring-Loaded After Bear Trap Test📌 To see my confluences and/or linework, step 1: grab chart, step 2: unhide Group 1 in object tree, step 3: hide and unhide specific confluences. 😊
The Market Participant Battle:
Bears exhausted their ammunition at the 6,694-6,704 support zone (point 4), creating a proven set of market participants that bulls successfully defended. When price closed above the previous high (point 3 above point 1), it confirmed bears were trapped, establishing point 2 as the critical support level. The return to this zone at point 4 triggered a classic spring pattern where bulls absorbed all selling pressure, setting up for an explosive move higher. Smart money appears to be accumulating here while retail bears remain trapped below their stop losses.
Confluences:
Confluence 1: Hidden Bullish Divergence Power Play
The hidden bullish divergence at point 4 is textbook - price printed a higher low while RSI and MFI showed lower lows, screaming institutional accumulation. RSI hit oversold precisely at the bounce point (26.82), confirming maximum pessimism when smart money was buying. The divergence across multiple momentum indicators (RSI, MFI) strengthens the signal exponentially, suggesting bears are fighting a losing battle against algorithmic buying programs.
Confluence 2: Volume Profile & Market Microstructure
The volume profile POC from the major low to point 3 sits exactly at point 4 (6,704 level), acting as a magnetic price attractor. This isn't coincidence - it's where the most contracts changed hands, creating maximum liquidity for institutional players to accumulate. The developing POC support alignment confirms this level as the new value area that market makers will defend aggressively.
Confluence 3: Bollinger Band & OBV Explosion Signal
On-Balance Volume (OBV) breaking below its lower Bollinger Band at point 4 historically precedes violent upward reactions. This extreme reading suggests panic selling into strong hands - the classic transfer from weak to strong participants. Combined with price testing the 2nd standard deviation of VWAP anchored from point 1, we have a triple-loaded spring ready to unleash.
Confluence 4: Mathematical Price Structure
The 1->2->3->4 pattern creates a perfect measured move setup. Point 4's reaction from the proven participant zone (point 2) establishes a risk/reward ratio of 4.56:1 with clear stop placement at 6,694. The mathematical precision of these levels isn't random - it's algorithmic market making at its finest.
Web Research Findings:
- Technical Analysis: S&P currently at 6,713 with strong buying pressure on weekly charts, testing resistance at 6,760. RSI showing negative divergence on daily but oversold on intraday - perfect storm for squeeze higher
- Recent News/Earnings: Q3 earnings estimates revised UP 0.7% (unusual positive revision), with 50% of companies issuing positive guidance vs 43% historical average - bullish fundamental backdrop
- Analyst Sentiment: Technical ratings show "Strong Buy" on weekly/monthly timeframes despite short-term neutral readings - institutions positioning for continuation
- Data Releases & Economic Calendar: Fed cut 25bps on Sept 17 with 2 more cuts expected in 2025, creating liquidity tailwind. Initial jobless claims at 231k (below 241k consensus) shows resilient labor market
- Interest Rate Impact: Fed funds now at 4.00-4.25% with dovish bias. Markets pricing in additional easing through 2026, supportive of risk assets despite inflation concerns
Layman's Summary:
Think of this like a coiled spring that bears just compressed to maximum tension. The Fed is pumping liquidity (rate cuts), companies are beating earnings expectations, and unemployment remains low - all green lights for stocks. The technical setup shows big money quietly buying while retail traders panic sell. When everyone who wanted to sell has sold (point 4), the only direction is up. The VIX at 16.64 shows low fear - perfect for a surprise squeeze higher. Smart money is betting on continuation of the bull market with this classic accumulation pattern.
Machine Derived Information:
- Volume footprint analysis: Buy-side absorption clearly visible at point 4 support - Significance: Institutional accumulation confirmed - AGREES ✔
- Multi-timeframe structure: Support zone respected across 1hr, 4hr, daily timeframes - Significance: Strong technical foundation - AGREES ✔
- Pattern recognition: Clean 1-2-3-4 accumulation schematic with textbook execution - Significance: High probability setup - AGREES ✔
- Fibonacci analysis: 61.8% retracement held perfectly at point 4 - Significance: Mathematical precision confirms support - AGREES ✔
- Indicator confluence dashboard: RSI, MFI, OBV all flash oversold reversal signals - Significance: Multiple confirmations reduce false signal risk - AGREES ✔
- Market profile analysis: High volume nodes acting as price magnets - Significance: Liquidity pools support bullish thesis - AGREES ✔
- Order flow visualization: Aggressive buying visible in footprint charts - Significance: Smart money accumulation pattern - AGREES ✔
Actionable Machine Summary:
All technical analyses unanimously confirm the bullish spring setup. The hidden divergence across RSI/MFI, OBV Bollinger Band break, VWAP 2nd deviation test, volume profile POC support, and clean 1-2-3-4 pattern create an A+ technical setup. The machine analysis shows zero contradictions - every indicator points to the same conclusion: bears are trapped, bulls are loaded, and the spring is about to release violently upward.
Conclusion:
Trade Prediction: SUCCESS ✅
Confidence: HIGH
This is a textbook accumulation pattern with institutional fingerprints all over it. The confluence of hidden bullish divergence, volume profile support, extreme OBV readings, and perfect mathematical structure creates an exceptional risk/reward opportunity. With the Fed maintaining its easing bias, earnings revisions trending positive, and VIX showing complacency, the path of least resistance is clearly higher. The 4.56:1 risk/reward ratio makes this a must-take trade for any serious market participant.
ES - September 24th - Daily Trade PlanBefore reading this trade plan, IF, you did not read yesterdays, or the weekly trade plan take the time to read it first! (You can see both posts in the related publication section)
My trade plan is out later this am due to some family commitments. I will not be highlighting yesterdays, so please read it and review the real-time notes that I posted during the day.
September 24th - 7:30am EST
Overnight session high is 6728 and low is 6711. We have been moving up the levels in a very slow structured way since finding a low yesterday around 6701. Ideally, price will either continue to grind up and retest the 6741-44 area of where we sold off from, or we will need to retest overnight low or yesterday's low to flush and reclaim and move higher to back test the 6741-44 area.
Key Support Levels - 6721, 6715, 6711, 6701
Key Resistance Levels - 6728, 6733, 6741, 6744, 6754
We are in a bit of a holding pattern, unless you have a low time frame entry strategy for a scalp. I personally do not see much to get excited about as price slowly moves higher into some key resistance levels. IF, price loses 6715 and can't reclaim it, then we will probably head lower to retest yesterday's lows. Since I DO NOT SHORT ES, I won't have any good quality setups until we get a pullback. I will be patient and wait for a flush and reclaim of 6711, but 6701 or 6697 would be a much higher quality area.
Make sure you look at yesterday's sell off and plan. I wrote at "1:40pm - I would let price build a base. It could be here at 6710, 6705 or down at 6696. Give it time to build a base with a move lower like this. NO RUSH." We found structure at 6701 and it took us over 2hrs to build a base and chopped everyone around inside that tight 15pt range.
I will post an update around 10am EST.
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Couple of things about how I color code my levels.
1. Purple shows the weekly Low
2. Red shows the current overnight session High/Low (time of post)
3. Blue shows the previous day's session Low (also other previous day's lows)
4. Yellow Levels are levels that show support and resistance levels of interest.
5. White shows the trendline from the August lows.
VWAP/OR Setups & Macro Crosscurrents (Sept 24, 2025)The S&P 500 (MES1!) is currently in a volatile state as Wednesday’s trading session commences.
Macro headwinds have dampened expectations for further rate cuts, leading to weakness in Big Tech yesterday. On the other hand, sector tailwinds have emerged, with Micron reporting strong Q4 earnings and Boeing and Palantir forming an AI partnership. These developments have generated after-hours optimism, supporting the performance of semiconductors and AI-related stocks.
This volatile environment presents opportunities for scalpers. The volatility around VWAP/OR levels, coupled with liquidity-driven inflections, creates fertile ground for scalping.
Chart Context (MES1! – 15m & 5m overlays):
VWAP serves as a key pivot point, with multiple reclaims and rejections occurring overnight. The ORH stands at 6720.50, while the ORL is at 6719.75. As of pre-market, the VWAP is also at 6719.75. High-volume nodes at 6710–6722 act as scalp magnet zones. The overnight low at 6701.50 remains the downside inflection point.
Scalping Plan:
- Long bias above VWAP/OR breaks with volume. Target 6728 to 6735+.
- Fade VWAP rejections back to OR. Quick 1–2pt rotations.
- Avoid chop inside VWAP compression.
Risk Management:
- Use half-size into the open; scale only on confirmed breakout.
- Hard stop: sustained trade below 6701.50.
- Event risk: 10:00 AM New Home Sales, 4:10 PM Mary Daly speech.
Takeaway:
Scalpers should focus on reacting to market movements rather than predicting future trends. The ongoing debate between Powell and Micron is likely to lead to whipsaws in the market. Therefore, it’s crucial to adhere to VWAP/OR discipline, respect liquidity pockets, and let the market tape confirm the direction of the trade.
ES (E-mini S&P 500) — Plan for Wed Sep 24Fundamentals (tomorrow, ET)
04:00 Germany IFO Business Climate (often moves European risk tone during London).
10:00 U.S. New Home Sales (Aug) — official Census schedule lists New Residential Sales at 10:00 a.m..
10:30 EIA Weekly Petroleum Status Report (standard time each Wed).
13:00 U.S. 5-Year Note auction (can nudge yields/indices).
Context: Yesterday’s U.S. flash PMIs showed slower but still-expanding activity (Composite 53.6 vs 54.6 Aug).
Bias(HTF→LTF)
HTF: Uptrend but near prior highs; Tuesday printed a lower-timeframe selloff into ~6,701–6,705 (confluence with D1 1.272 ≈ 6,705).
Base case into London: Two-way trade inside 6,701–6,744–6,756 triad while Europe digests IFO.
Two paths for NY:
Acceptance ↑ above 6,756.5 → squeeze the weak-highs toward 6,765–6,770, then 6,798–6,800 (D1 1.618).
Acceptance ↓ below 6,701–6,705 → trend rotation toward 6,690s → 6,680s (next liquidity shelves).
London session game plan
If Europe pushes up early: Watch 6,744. Failure there → rotate back to 6,711–6,718; clean reclaim → sets NY for a 6,756 test.
If Europe bleeds down: Look for sweep & hold behavior at 6,701–6,705; loss of that area on 15m body-through tends to trend extend into the 6,69x/6,68x shelves before NY AM.
NY AM (09:30–11:00 ET) and NY PM (13:30–16:00 ET) → full size, run the exact confirmations and targets I gave.
A++ Acceptance LONG — above 6,756.5
Confirmations (15/5/1):
• 15m full-body close above 6,756.5 (acceptance).
• 5m pullback holds ≥ 6,754–6,756 and re-closes up.
• 1m HL entry on first clean re-trigger.
Entry: 6,756–6,758 on the retest (or continuation >6,760 after 5m re-close).
Hard SL: below the 15m trigger wick or < 6,744 by 0.25–0.50 pt (whichever is lower).
Targets: TP1 6,765–6,770, TP2 6,798–6,800, TP3 6,901.
Management: No partials before TP1; at TP1 close 70%, set 30% runner to BE; no trail before TP2. Time-stop 45–60m if neither TP1 nor SL hits. Max 2 attempts at this level.
Invalidation: 15m close back inside < 6,756 after entry that fails the 5m hold → cancel and reassess.
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A++ Acceptance SHORT — below 6,701–6,705
Confirmations (15/5/1):
• 15m full-body close below 6,701 (body-through the band).
• 5m LH + re-close down on the retest of 6,701–6,705.
• 1m LH entry on first pullback failure.
Entry: 6,699–6,703 on the retest.
Hard SL: above the 15m trigger wick or > 6,705 by 0.25–0.50 pt (whichever is higher).
Targets: TP1 6,690–6,692, TP2 6,680–6,685, TP3 trail if trend accelerates.
Management: Same rules as Setup #1 (TP1 70% + runner to BE; 45–60m time-stop; max 2 attempts).
Invalidation: Reclaim on 15m back above 6,705 that holds → cancel the short.
⸻
Risk & timing notes
• 10:00 New Home Sales and 10:30 EIA can cause abrupt spikes; favor entries after the first post-data 5m bar closes unless already in with cushion.
• 13:00 5-Year auction can alter yield curve into the NY PM window; manage runners.






















