Will Lowered Interest Rates Make Or Break The Stock Index MarketS&P 500 Fundamentals:
All three of the major indexes posted gains for the week, led by a 2% gain in the Nasdaq, with expectations high the Fed will cut interest rates by at least 25 basis points at the meeting.
S&P ascends second straight week, adds 1.6% on revived artificial intelligence optimism, expected interest-rate cuts.
Price Levels To Lookout For:
- Closure Above $6,600
- $6,450 Weekly Order Block
- $6,223.25 - $6,109.00 Weekly Draw On Liquidity
Nasdaq Fundamentals:
Helping the Nasdaq, shares of Tesla gained 7.4% after board chair Robyn Denholm dismissed concerns that CEO Elon Musk's political activity had hurt sales at the electric-vehicle maker and said the billionaire was "front and centre" at the company.
Price Levels To Lookout For:
- $24,068.50 Prev All-Time HIghs
- $24,200 Psychological Level
- $22,222 - $22,582 Weekly Sellside Liquidity Pool
Dow Jones Fundamentals:
In New York, the Dow Jones Index dropped 231 points or 0.50 percent on Friday.
Losses were led by Merck (-2.75%), Sherwin-Williams (-2.14%) and Honeywell International (-1.79%).
Offsetting the fall, top gainers were Apple (1.82%), Microsoft (1.76%) and Walmart (0.83%).
Price Levels To Lookout For:
- $46,176 (Current Highs)
- $45,245 Weekly Order Block
- $44,642 - $44,615 Weekly BISI
Trade ideas
Day 29 — Trading Only S&P Futures | From Red to GreenWelcome to Day 29 of Trading Only S&P Futures!
The day started bearish, and my early shorts worked — until the market began spiking up and flipping bullish. Some of those positions hit stop-loss, so I stepped back and waited.
At 6605 gamma resistance, I shorted again with conviction and rode the reversal back into positive territory, finishing the day at +91.81.
This was a good reminder to not overstay trades when conditions are choppy, and to wait for the high-probability levels to do the heavy lifting.
📰 News Highlights
U.S. SEPTEMBER MICHIGAN 5-YEAR EXPECTED INFLATION RISES 3.9%; EST. 3.4%; PREV. 3.5%
🔑 Key Levels for Tomorrow
Above 6565 = Remain Bullish
Below 6535 = Flip Bearish
ES - September 12th - Daily Trade PlanSeptember 12th - 6:15am EST
Yesterday we had great trading conditions, and we have exceeded our weekly targets! I wrote at 5:50am EST in my trade plan the following - (You can see it in the related publication section)
"Overnight low is 6534 and high is 6551 as of writing. We have to remain bullish until proven otherwise, so the targets above at 6567, 6578 and if it really wants it can get to 6592. I have said that the white trend line is a magnet that we are heading towards. We just don't know what route price will take to achieve its targets. We focus on our process and edge to take points out of the market daily."
There were 2 key takeaways from this that I want to point out.
1. 6551 was the overnight session high at time of writing. It also became a key support that took us higher after 9:30am. You can see on the 15 min chart a nice consolidation of price that held until breaking out.
2. My initial targets of 6567, 6578 were met, we blew past the white trend line magnet and then ripped past my target of 6592 and the high of the day was 6600.
6600 on ES & 46,000 on DOW are big round numbers! You should never be bearish when the trend is up, I do think we can be cautious for many reasons. September is typically a bearish month, Fed Cutting rates will actually be bearish, not bullish, Employment rate is going higher, Credit Card delinquencies are higher, Auto Payment delinquencies are higher, etc., etc., etc.
Those reasons are data, news, opinions and not how we make money on a daily basis trading ES. As we all know, Institutions make money on news events, by using those events to scare retail investors into a bearish mindset, sell price down to key levels that they can run stops, grab liquidity, and then ride the market higher. It's called accumulation and distribution.
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Let's get into today's trading plan!
Overnight low is 6576 and high is 6596. We have been going sideways overnight and into the white trend line magnet. We are currently grinding slowly across the white trendline as I write this plan. After a healthy 65pt move yesterday, price needs to settle and figure out what it wants to do. While we don't care what price decides to do or the path it takes, we will just focus on what levels do we think have the highest probability of flushing, reclaiming and driving us higher to the next level. (Why? I do NOT SHORT ES, I LONG areas that liquidity will be present and institutions are buying at).
Key Support Levels - 6576, 6569, 6562, 6551, 6535, 6522
Key Resistance Levels - 6585, 6592, 6596, 6600
Upside targets above are 6606, 6614, 6621+
Key Levels to watch for price opportunities:
1. Overnight low at 6576. This area was tested and really has not given us much of a bounce, so not sure there is much liquidity left in the tank when we test it again.
2. 6562, flush and reclaim to back test 6576 and potentially keep going higher.
3. 6551, flush and reclaim to back test 6576 and potentially keep going higher.
IF, price breaks below 6551, I will only be focused on the flush and reclaim of the levels in blue below at 6535, 6522. This could be 6530, reclaim 6535 or 6517, reclaim 6522.
IF, price can flush and reclaim the red or blue levels, those are always my highest quality spots I am looking to ride higher. The yellow levels are very important support and resistance levels that you can get reclaims of and move higher. They can also be choppy and harder to enter without a short time frame edge for entry. It is all based on your strategy, goals and edge of getting points from ES.
I will post an update around 10am after the NYSE open.
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Couple of things about how I color code my levels.
1. Purple shows the weekly High/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.
Simple UO + ADX Futures Strategy📚 Trading Plan with UO + ADX + 9/21 MA
1. Indicator Roles
Ultimate Oscillator (UO): Measures momentum across 3 different timeframes (short, medium, long). I use the lengths 4/8/14.
Overbought: > 70
Oversold: < 30
Neutral: 30–70 range
ADX (14-period, 100 smoothed): Measures trend strength, not direction.
Weak trend: < 17~20
Building trend: 20–25
Strong trend: > 27–30, enter on pullback. A bounce from the 9 or 21 MA.
2. Core Trading Logic
We combine momentum (UO) with trend strength (ADX) to avoid false signals.
Long Setup (Buy):
ADX rising above 23 → trend gaining strength.
UO crosses above 30 from below → confirms bullish momentum.
Confirm price is above 21-day MA (optional filter for trend).
📈 Exit:
UO > 50 and turning down, or
ADX below 17, or
Trailing MA.
Short Setup (Sell):
ADX rising above 27 → trend gaining strength.
UO crosses below 70 from above → confirms bearish momentum.
Confirm price is below 9-day MA (optional filter for trend).
📉 Exit:
UO < 30 and turning up, or
ADX drops below 20, or
Trailing stop.
3. Advanced Filters
Avoid false breakouts: If ADX < 20, ignore UO signals (no strong trend).
Divergence filter: If price makes a new high but UO does not → weakening trend.
Scaling:
Add to winners if ADX > 30 and still rising.
Take partial profits if ADX flattens while UO is in extreme zone.
4. Risk Management
Position sizing: Risk 1–2% of account per trade.
Stop loss: Below recent swing low (for longs) or above swing high (for shorts).
Take profit: Risk:Reward 1:2 minimum, or trail with MA.
5. Example Workflow
Case 1 (Bullish):
ADX rises from 18 → 27 (trend forming).
UO crosses 50 → bullish signal.
Enter long.
Exit when UO > 70 and rolls over, or ADX drops < 20.
Case 2 (Bearish):
ADX rises above 25.
UO crosses below 50.
Enter short.
Exit when UO < 30 and turns up, or ADX weakens.
✅ Summary Ruleset
Trade only when ADX > 23–25 (filter out noise).
Go long: UO crosses > 50 with rising ADX.
Go short: UO crosses < 50 with rising ADX.
Exit on momentum extremes (UO < 30 or > 70) or weakening ADX.
Risk: Keep losses capped at 1–2% of equity per trade.
US Stock Market, Retail Investors’ Pessimism;A Positive Signal?1) What is contrarian analysis of financial markets?
Contrarian analysis is an original way of looking at financial markets, based on market sentiment, particularly the sentiment of retail traders, often considered the “weak hands” of the market. Instead of following the dominant opinion, it assumes that the crowd is often wrong, especially retail investors. Indeed, they tend to react emotionally: buying when everything looks good and selling when everything looks bad.
However, markets rarely behave so obviously. When the majority of retail investors are euphoric and convinced that the rally will continue, it often means most of them have already bought, leaving few potential buyers to push prices higher – and therefore the market top may be near. Conversely, when these same investors are pessimistic, it usually indicates that they have already sold, that the downside potential is limited, and that the market bottom is near.
Applied to US equities, this reasoning becomes particularly interesting. Imagine a steadily rising market, supported by strong corporate earnings and a solid economy. If retail investors remain cautious or worried despite this, it may suggest that the rally is not over. Their skepticism leaves room for additional buying later, which can extend the trend.
In summary, contrarian analysis encourages us to view retail investors’ pessimism as an opportunity rather than a threat. As long as they doubt, the market is probably not at its peak. It is only when optimism becomes widespread that real caution is warranted.
2) According to the AAII, retail investors’ pessimism is near its yearly high regarding US equities
The current sentiment situation is particularly interesting. According to the latest survey by the American Association of Individual Investors (AAII), the percentage of retail investors with bearish expectations has climbed near its yearly high and stands well above its historical average.
Yet, the S&P 500 is trading near its all-time high. According to contrarian analysis, this suggests that the bullish cycle top in the S&P 500 has not yet been reached, since market peaks are always built on retail investors’ euphoria (and troughs on their pessimism).
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ES (SPX) Futures Analyses for tomorrow Sep 12Overnight
Expect balance 6586–6596 with a modest bullish tilt. If ON accepts >6596.5, drift toward 6603–6606 is likely before NY.
Tomorrow (NY session)
Base case: Early range, then acceptance >6596.5 (close + clean retest) → expansion to 6606 → 6612 → 6616–6619 (HTF extension band).
Failure path: Rejection at 6596–6600 and acceptance <6586 → rotate 6581 → 6577; deeper only if 6577 fails (then 6566/6556).
Fundamentals (times ET)
10:00 — Univ. of Michigan Consumer Sentiment (Prelim, Sep). This is the only major macro print on deck; expect a 2–5m whipsaw around the release, then directional follow-through after displacement.
Today’s context: CPI (Aug) came in +0.4% m/m, +2.9% y/y; Core +0.3% m/m, +3.1% y/y, and Initial Jobless Claims rose to 263k (week ending Sep 6). Together: inflation still sticky but labor softening—into tomorrow this supports “range→up unless 6586 breaks.”
Day 28 S&P Futures | -$78 Trading While Under the WeatherWelcome to Day 28 of Trading Only S&P Futures!
Not my best day — I was feeling under the weather and missed the open. Took a trade at resistance that didn’t work out and left some limit orders higher up at GEX resistance levels. Most of the session I stayed on the sidelines, but my end-of-day orders finally filled and gave me a decent recovery.
Sometimes the best decision when you’re not 100% is to step back and avoid forcing trades.
📰 News Highlights
DOW CLOSES UP OVER 600 POINTS, VIX TUMBLES AS STOCKS END AT RECORD HIGHS AFTER CPI DATA
🔑 Key Levels for Tomorrow
Above 6540 = Remain Bullish
Below 6520 = Flip Bearish
ES - September 11th - Daily Trade PlanSeptember 11th - 5:50am EST
Yesterday, we did not get as much volatility as we have done in the past on economic data release days. Today, we have another with CPI at 8:30am. While we could continue the trend of low volatility, today I am still going to be cautious. Before I get into today's plan, take a minute to read my daily trade plan from yesterday. (See Related Publication Section)
I stated in the plan "Any flush of 6526 and reclaim should be a good level for a move higher. We could see price sell off all the way down to the white trend line around 6474 area, flush and then recover a level in blue to continue higher."
After the initial pop from the PPI release, we opened up battled between 6545-6562, then grinded lower after many attempts to lose 6545. I said, yesterday in my 10:29am Note:
"Price can still go higher, but any loss of 6545 would not be good and could flush lower. See my updates above on places I like for us to flush and reclaim at lower levels. 6526 being first for some points, maybe even getting as low as 6517 and reclaiming 6526."
At 3:20pm we touched the 6522 level and rallied up to 6543 into the close for a nice 20pt pop. While I was actually off my desk for this move, it shows you that with patience and waiting for the high-quality setups, you will be rewarded.
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What is the plan for today? 8:30am, we have a big data report. I will not be trading before the report and will be waiting on price to settle out after the NYSE open. That is one of my rules on data & volatility events.
Overnight low is 6534 and high is 6551 as of writing. We have to remain bullish until proven otherwise, so the targets above at 6567, 6578 and if it really wants it can get to 6592. I have said that the white trend line is a magnet that we are heading towards. We just don't know what route price will take to achieve its targets. We focus on our process and edge to take points out of the market daily.
Key Support Levels - 6545, 6534, 6530, 6522, 6523, 6517, 6504-08, 6490, 6480
Key Resistance Levels - 6551, 6555, 6565, 6578, 6592
After the CPI release and by 9am, we should have a good sense for what price is looking to do. Any flush of 6534 or even better 6222 (maybe as low as 6517) and reclaim should be a good level for a move higher. We could see price sell off all the way down to the white trend line around 6480 area, flush and then recover a level in blue to continue higher.
IF, price does flush 6490 and we are accelerating into it, I would be patient and wait to see what it does. While yesterday we flushed, recovered for a nice 50 point move higher, we might get a nice bounce, but liquidity continues to be taken each time we visit this level and when we do lose the level, I anticipate a multi-level loss.
IF, price can flush and reclaim the red or blue levels, those are always my highest quality spots I am looking to ride higher. The yellow levels are very important support and resistance levels that you can get reclaims of and move higher. They can also be choppy and harder to enter without a short time frame edge for entry. It is all based on your strategy, goals and edge of getting points from ES.
Size down today, price could lose 100+pts or run 100+pts higher. Do not be a hero. Wait for your levels and edge to enter and make sure you take profits at the next level higher.
I will post updates after CPI and around 10am after NYSE has settled out.
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Couple of things about how I color code my levels.
1. Purple shows the weekly High/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.
Strategies & Styles in Global TradingPart 1: Foundations of Global Trading Strategies
1.1 Strategic Thinking in Trading
Trading strategies aim to answer three critical questions:
What to trade? (stocks, forex, commodities, indices, crypto, bonds).
When to trade? (entry and exit timing based on analysis).
How much to risk? (position sizing and risk management).
Without a defined strategy, trading becomes speculation driven by emotions.
1.2 Key Influences on Strategy
Global strategies are shaped by:
Market type: Developed (US, EU, Japan) vs. Emerging (India, Brazil, South Africa).
Time horizon: Long-term investments vs. intraday moves.
Information source: Technical analysis, fundamental analysis, quantitative models, or macroeconomic data.
Technology: Algorithmic trading, AI-driven predictions, and blockchain-based platforms.
Part 2: Major Trading Styles
2.1 Day Trading
Definition: Buying and selling within the same day, closing all positions before market close.
Features: Relies on volatility, liquidity, and rapid decision-making.
Tools Used: Intraday charts (1-min, 5-min, 15-min), moving averages, volume profile, momentum indicators.
Global Example: US tech stocks like Tesla or Nvidia are favorite day-trading instruments due to volatility.
Pros: Quick profits, no overnight risk.
Cons: High stress, requires constant monitoring, heavy brokerage costs.
2.2 Swing Trading
Definition: Holding trades for several days or weeks to capture medium-term price swings.
Basis: Combines technical chart patterns with macro/fundamental cues.
Global Example: Trading EUR/USD currency pair during central bank policy cycles.
Pros: Less stressful than day trading, better reward-to-risk ratio.
Cons: Requires patience; risk of overnight news shocks.
2.3 Position Trading
Definition: Long-term strategy, holding positions for months or years.
Basis: Fundamental analysis (earnings, economic cycles, interest rates).
Global Example: Long-term bullish positions in gold as an inflation hedge.
Pros: Less frequent monitoring, aligns with macro trends.
Cons: Requires strong conviction and capital lock-in.
2.4 Scalping
Definition: Ultra-short-term trading strategy, aiming for small profits on many trades.
Basis: Order flow, bid-ask spreads, micro-movements.
Global Example: Forex scalpers trade EUR/USD, GBP/USD due to high liquidity.
Pros: Rapid compounding of profits, no overnight risk.
Cons: High transaction costs, requires lightning-fast execution.
2.5 Algorithmic & Quantitative Trading
Definition: Using computer models, AI, and algorithms to trade automatically.
Methods: Statistical arbitrage, mean reversion, machine learning models.
Global Example: Hedge funds like Renaissance Technologies use quant models to outperform markets.
Pros: Emotion-free, scalable, works 24/7 in multiple markets.
Cons: Requires advanced coding skills, backtesting, and infrastructure.
2.6 High-Frequency Trading (HFT)
Definition: Subset of algorithmic trading using microsecond execution speed.
Basis: Profiting from inefficiencies in order books, arbitrage, spreads.
Global Example: Chicago Mercantile Exchange (CME) futures and US equities.
Pros: Can generate huge volumes of small profits.
Cons: Expensive technology, regulatory scrutiny, highly competitive.
2.7 Event-Driven Trading
Definition: Trading based on news, earnings reports, central bank decisions, or geopolitical events.
Global Example: Buying oil futures after OPEC production cuts; trading GBP during Brexit votes.
Pros: High potential returns.
Cons: High volatility, unpredictable outcomes.
2.8 Arbitrage Strategies
Definition: Profiting from price discrepancies between markets.
Types:
Spatial arbitrage (same asset, different markets).
Triangular arbitrage (currency mismatches).
Merger arbitrage (M&A deals).
Global Example: Simultaneously buying and selling Bitcoin on different exchanges.
Pros: Low-risk if executed correctly.
Cons: Requires speed, capital, and advanced systems.
Part 3: Global Trading Strategies by Asset Class
3.1 Equity Trading Strategies
Value Investing: Buying undervalued stocks (Warren Buffett approach).
Growth Investing: Targeting high-growth sectors like AI or EVs.
Momentum Trading: Riding the wave of strong price trends.
Pairs Trading: Long one stock, short another in the same sector.
3.2 Forex Trading Strategies
Carry Trade: Borrowing in low-interest currency, investing in high-interest currency.
Breakout Trading: Entering positions after a currency breaks key levels.
Range Trading: Buying low, selling high in sideways markets.
News Trading: Trading during central bank announcements or data releases.
3.3 Commodity Trading Strategies
Trend Following: Using moving averages for oil, gold, wheat.
Seasonal Strategies: Trading based on harvests or demand cycles.
Hedging: Producers using futures to lock in prices.
Spread Trading: Buying one commodity and selling another related one (e.g., crude oil vs. heating oil).
3.4 Bond & Fixed Income Trading Strategies
Yield Curve Strategies: Positioning based on steepening or flattening yield curves.
Credit Spread Trading: Exploiting risk premiums between corporate and government bonds.
Duration Hedging: Managing sensitivity to interest rate changes.
3.5 Cryptocurrency Trading Strategies
HODLing: Long-term holding of Bitcoin, Ethereum.
DeFi Yield Farming: Earning interest from decentralized lending protocols.
Arbitrage: Spot vs. futures arbitrage.
Momentum & Volatility Plays: Crypto thrives on extreme price swings.
Part 4: Risk Management & Psychology in Strategies
4.1 Risk Management Tools
Stop-Loss & Take-Profit Orders.
Position Sizing (1–2% capital per trade rule).
Diversification across assets and geographies.
Hedging with options/futures.
4.2 Psychological Styles in Trading
Aggressive vs. Conservative traders.
Discretionary vs. Systematic approaches.
Risk-seeking vs. Risk-averse behaviors.
Trading psychology (discipline, patience, emotion control) often defines whether a strategy succeeds or fails.
Part 5: Regional Differences in Global Trading Styles
US Markets: Heavy focus on tech stocks, options trading, and HFT.
Europe: Strong in forex, bonds, and energy trading.
Asia (Japan, China, India): Retail-dominated, rising algo-trading adoption.
Middle East: Commodity-heavy (oil, petrochemicals).
Africa & Latin America: Emerging markets, currency and commodity-driven.
Part 6: The Future of Global Trading Strategies
AI & Machine Learning: Automated strategies learning from big data.
Blockchain & Tokenization: 24/7 trading, decentralized exchanges.
Sustainable Trading: ESG-based strategies, carbon credits.
Cross-Asset Strategies: Linking equities, commodities, crypto, and derivatives.
Conclusion
Global trading is not just about buying and selling—it is about choosing the right strategy and style that aligns with one’s goals, risk tolerance, and market conditions.
From short-term scalping to long-term investing, from algorithmic arbitrage to macro-driven positioning, traders worldwide adapt strategies to seize opportunities across stocks, currencies, commodities, bonds, and cryptocurrencies.
The winning formula is not a single "best" style—it’s about discipline, adaptability, risk management, and continuous learning. Markets evolve, and so must strategies.
ES (SPX) Analyses for Thu, Sep 11 (CPI day)What matters tomorrow (fundamentals)
CPI (Aug) at 8:30 ET — the BLS schedule shows the August CPI release Thu Sep 11, 08:30 ET. This is the day’s primary driver.
Weekly Initial Jobless Claims at 8:30 ET — standard Thursday release; calendars show the event scheduled for Sep 11 at 08:30 ET.
Treasury 30-yr bond auction — $22B long-bond sale Thursday (typically 13:00 ET). This can move yields into the NY afternoon and spill into equities.
Context into the print: PPI (Aug) was released today (Sep 10); YoY +2.6% per data trackers/BLS release, keeping focus on CPI for confirmation. Markets are leaning toward a Fed cut at next week’s meeting.
I’m using your 1D / 4H / 1H.
Trend: Uptrend intact on 1D; price sits just beneath a “weak-high / premium” supply band. (1D shows fib extensions near ~6705 (1.272) and ~6799 (1.618) as far targets, not base-case for tomorrow.)
4H: Recent push into a red supply band then pullback; mid-range equilibrium roughly ~6,44x–6,45x.
1H: Resistance zone ~6,558–6,565 (your “Weak High” band). Prior highs around ~6,536–6,540 act as local pivot/PMH; below that, demand/discount blocks stack ~6,50x → 6,46x–6,44x.
Scenario A — Disinflationary/soft CPI (yields down)
Likely path: Early sell-side sweep into 6,51x → 6,49x discount → bullish MSS.
Entry: Buy the 1–5m PD-array in discount after displacement.
Targets: 6,536–6,540 → 6,558–6,565 (weak-high). Leave runner toward 6,57x–6,58x only if order-flow stays bid.
Invalidation: 1–5m structure loses 6,49x and cannot reclaim.
Scenario B — Hot CPI (yields up)
Likely path: Buy-side sweep through 6,558–6,565 → failure → bearish MSS back below the band.
Entry: Short premium PD-array after displacement down.
Targets: 6,536–6,540 → 6,51x, stretch 6,49x then 6,46x–6,44x if momentum accelerates.
Invalidation: Acceptance back above 6,565 with bullish structure.
Projections:
ES futures are anticipated to respond within a 5-15 minute window following the 8:30 AM release, with intraday movements likely intensified by algorithmic trading and stop-hunting activities. Historical analysis of the past 6 CPI events indicates an average end-of-day ES move of approximately +0.76% in response to ±0.1% deviations from forecasts. The prevailing volatility suggests that implied moves, derived from options data, are forecasting a swing of around 0.5-1% (equivalent to ±30-60 points from current levels), though actual market responses have been known to exceed these expectations in the event of surprises.
In the pre-release phase, spanning overnight to pre-market hours (approximately 4:00-9:30 AM ET), market participants are likely to observe a consolidation or mild upward bias within a range of 6480-6575, building upon today’s record highs. The light trading volume may lead to false breakouts around critical levels. Traders are currently positioning for a "failed breakdown" pattern, wherein an initial dip below recent lows could trigger stop-loss orders, followed by a swift reversal higher if market sentiment remains intact.
As the clock strikes 8:30 AM ET, high volatility is expected, with the potential for a 20-40 point gap open or sharp spike. A common occurrence is an initial downside flush aimed at testing liquidity (for instance, dipping below 6500) before a definitive market direction is established. Whipsaw action is likely as news headlines emerge, with particular focus on the core CPI data, which will be pivotal for determining sustained market trends.
Good Luck Everyone!
Day 27 — Trading Only S&P Futures | 20pt Win & Bottom CatchWelcome to Day 27 of Trading Only S&P Futures!
Started the day red due to overnight trades, but once the session opened, everything lined up perfectly. I waited for resistance after spotting multiple X7 sell signals, shorted the top, and caught a 20-point move down to MOB. From there, I flipped long, and later caught the market bottom with the help of Bia’s analysis.
The result? A smooth +385 day — clean reads, clean execution.
📰 News Highlights
S&P 500, NASDAQ eke out record closing highs after tame PPI inflation data
🔑 Key Levels for Tomorrow
Above 6515 = Remain Bullish
Below 6500 = Flip Bearish
Sep 10 MES Recap: Watching MAG7, Session Highs/Lows, and Higher MES Journal – September 10, 2025
Today I traded MES using supply and demand levels, while also tracking leadership from the MAG7 (with QQQ as my main proxy).
Track the MAG7 with me on TradingView using the MAG7
List .
I didn’t trade with this strategy until a few guys in my Discord recommended it. I had a bit of a learning curve, but I finished green on most accounts for the first time in a while.
Context I Tracked
Asian session high/low: 6,514 / 6,492
London session high/low: 6,528 / 6,506
Previous day high/low: 6,536.25 / 6,489.25
PPI report (Aug 2025): -0.1% vs forecast, shifted bias from bullish to bearish intraday
VWAP levels on both ES and QQQ
Wins
Stayed green overall on funded accounts with payout potential.
Saw the end-of-day pump confirmed by MAG7, even after an initial retrace.
Reinforced my supply/demand and VWAP process.
Losses and Lessons Learned
Entered one trade without higher timeframe confirmation, which cost me a FundingTicks eval account (treating this loss as tuition).
Learned that higher timeframes (1H/4H/Daily) must confirm intraday levels before entering.
Looking Forward
I’ll combine:
Supply/Demand + Session Highs/Lows
Leader ETF (QQQ/MGK/MAG7)
Higher Timeframes (1H/4H/Daily)
This approach gives me more conviction and fewer blind trades.
Indicators
Since I’m still learning how to mark levels properly, I’m starting out with indicators to help reinforce that I’m using potentially correct levels. I primarily used:
Asian
& London Sessions High/Lows
Previous
Highs & Lows
Supply
and Demand Visible Range
TradingView default VWAP indicator
ID: 2025 - 0158.1.2025
Trade #15 of 2025 executed.
Trade entry at 140 DTE (days to expiration).
Excellent fills this morning, well under mid. Created a GTC working order two days ago and let price come to me. No chasing. There are TONS of external liquidity voids resting below.
Target profit is 5% ROI
Happy Trading!
-kevin
ES Supply And demand Break-Out Buy SignalTrading News:
- PPI (Producer Price Manufacturing Index) came out -0.1% vs its 0.3% forecasted number, suggesting lower cost of manufacturing and inflation.
ES:
- Stocks caught a bid from this number as investors use this as a "lock" for FED rate cuts and a higher chance for a 2nd cut before the end of the year.
- Over the last 6 months, when the price is expected to open above yesterday's high, the price has a 74% chance of pulling back and hitting yesterday's high. This gives traders an idea for a possible open short OR wait for a pullback back into the previous ATH/Support level and wait for confirmation.
- Over the last 6 months, if the first 1hr of the NY session is "green" then 75% of the time price will close green for the day. The same is true for the first 1hr candle of the NY session is "red" then 75% chance of day being red.
- Over the last 6 months, Wednesdays have held the highest chance of a "green day", sitting at 69% chance.
- Overall, I remain bullish on this market and would not consider shorting this market at this point—aggressive RB break-out level around the 6540 level on the 5-minute TF. Traders can also wait for price to pullback to this level and wait for confirmation.
ES - September 10th - Daily Trade Plan September 10th - 5:45am EST -
Volatility should arrive with PPI & CPI today and tomorrow. I will not go into too much detail about my trade plan yesterday as you can read it under the (Related Publication Section). A couple of highlights, 6493 & 6505-08 have been 2 key levels so far this week. Why? Institutions have been buying at these levels and price has kept moving higher. As you know by now, my edge is buying after the Institutions and riding the wave higher. I do NOT short ES as I wait for short squeezes as a safer way to enter and ride the waves up in bull/bear markets. The past couple of days have been pretty boring price action. We have chopped retail investors up all week as price has ping ponged back and forth between my levels, but more importantly between 6493-6523. We finally broke out overnight and hit our first target of the week, which was also last week's high at 6544.
What is the plan for today? 8:30am, we have a big data report. I will not be trading before the report and will be waiting on price to settle out after the NYSE open. That is one of my rules on data & volatility events.
Overnight low was 6526 with the high being 6544. We have to remain bullish until proven otherwise, so the targets in green above are still in play this week. How do we get to those targets? Ideally, we get a big flush, scare retail traders, let them pile in short, flip the script, short squeeze and ride higher. If you have been trading ES for any length of time you know that if price is flushing, you get out the way. Do not be a hero and try to pick when price will reverse. Identify levels that have high probabilities, watch the reaction at that level, then enter based on your edge.
Key Support Levels - 6530, 6526, 6523, 6517, 6504-08, 6490
Key Resistance Levels - 6544, 6549, 6555, 6562, 6578+
The white trend line is the magnet above that I believe we are heading for at some point this week or into the Fed meeting next week.
After the PPI release and by 9am, we should have a good sense for what price is looking to do. Any flush of 6526 and reclaim should be a good level for a move higher. We could see price sell off all the way down to the white trend line around 6474 area, flush and then recover a level in blue to continue higher.
IF, price does flush 6490 and we are accelerating into it, I would be patient and wait to see what it does. While yesterday we flushed, recovered for a nice 50 point move higher, we might get a nice bounce, but liquidity continues to be taken each time we visit this level and when we do lose the level, I anticipate a multi-level loss.
IF, price can flush and reclaim the red or blue levels, those are always my highest quality spots I am looking to ride higher. The yellow levels are very important support and resistance levels that you can get reclaims of and move higher. They can also be choppy and harder to enter without a short time frame edge for entry. It is all based on your strategy, goals and edge of getting points from ES.
Size down today, price could lose 100+pts or run 100+pts higher. Do not be a hero. Wait for your levels and edge to enter and make sure you take profits at the next level higher.
I will post updates after PPI and around 10am after NYSE has settled out.
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Couple of things about how I color code my levels.
1. Purple shows the weekly High/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.
ESG Investing & Green FinancePart I: Understanding ESG Investing
1. What is ESG?
ESG stands for Environmental, Social, and Governance. It is a framework used by investors to evaluate companies not just on financial performance, but also on how they manage sustainability, ethics, and accountability.
Environmental (E): Measures a company’s impact on the planet—carbon emissions, energy use, waste management, renewable energy adoption, water conservation, pollution control, etc.
Social (S): Assesses how a company treats people—its employees, customers, suppliers, and communities. Issues like labor rights, workplace diversity, data privacy, and community engagement fall here.
Governance (G): Evaluates how a company is managed—board diversity, executive pay, shareholder rights, transparency, anti-corruption policies, etc.
2. Origins of ESG Investing
The roots of ESG investing can be traced back to:
1960s–1970s: Socially Responsible Investing (SRI) emerged. Religious groups and ethical investors avoided companies linked to alcohol, tobacco, gambling, and weapons.
1980s–1990s: Activist investors started pressuring firms on issues like apartheid in South Africa. Many divested from companies operating there.
2000s: Climate change awareness grew, leading to greater focus on corporate environmental performance.
2015 onwards: The Paris Agreement, UN Sustainable Development Goals (SDGs), and growing public concern about climate change propelled ESG to mainstream finance.
3. ESG Investing vs. Traditional Investing
Aspect Traditional Investing ESG Investing
Focus Profit, ROI, growth Profit + sustainability + ethics
Metrics EPS, P/E ratio, ROE ESG scores + financial metrics
Time Horizon Short-to-medium term Long-term resilience
Risk Market risk, credit risk Market + climate + reputational risks
Part II: Key Drivers of ESG Investing
Climate Change and Sustainability Concerns
Rising global temperatures, extreme weather, and natural disasters highlight the risks of ignoring climate change.
Companies that fail to adapt may face legal, regulatory, and reputational risks.
Investor Demand
Millennials and Gen Z, who are more socially conscious, prefer investing in sustainable companies.
ESG-focused mutual funds and ETFs have seen record inflows.
Regulatory Pressure
Governments are mandating climate disclosures. For example, the EU’s Sustainable Finance Disclosure Regulation (SFDR) requires funds to disclose ESG risks.
Corporate Performance Data
Studies show that ESG-aligned companies often outperform peers in the long run due to lower risks, better brand image, and operational efficiency.
Part III: ESG Metrics and Ratings
1. ESG Rating Agencies
Several organizations provide ESG scores to companies, including:
MSCI ESG Ratings
Sustainalytics
Refinitiv
Bloomberg ESG Scores
Each agency uses different criteria, making ESG ratings inconsistent at times. For example, Tesla scores high on environment due to EV leadership, but lower on governance issues.
2. Key Metrics
Carbon emissions (CO2e per unit revenue)
Percentage of renewable energy use
Diversity of board and management
Employee turnover and satisfaction
Transparency in financial reporting
Part IV: Green Finance
1. What is Green Finance?
Green finance refers to financial activities, investments, and instruments specifically designed to support environmentally sustainable projects. Unlike ESG, which is broad, green finance is narrower and directly focused on environmental impact.
Examples include:
Green Bonds (funds raised for renewable energy, clean transport, or sustainable water projects).
Climate Funds (investments in climate change mitigation/adaptation).
Sustainable Loans (corporate loans linked to sustainability targets).
2. Evolution of Green Finance
2007: The European Investment Bank issued the first green bond.
2015: The Paris Climate Agreement boosted funding for green projects.
Today: Green finance is a $2 trillion+ market, with rapid growth in Asia, Europe, and North America.
3. Green Finance vs. ESG Investing
Aspect Green Finance ESG Investing
Scope Narrow (environmental projects only) Broad (environment, social, governance)
Instruments Green bonds, loans, climate funds ESG funds, ETFs, stocks
Purpose Financing climate-friendly initiatives Screening and investing in sustainable companies
Part V: Examples and Case Studies
1. Tesla Inc. (Environment & Social Impact)
Pros: Market leader in EVs, promotes clean energy, reduces carbon dependency.
Cons: Criticism on governance (CEO dominance, workplace safety, and labor issues).
2. Unilever (ESG Leader)
Pioneered Sustainable Living Brands initiative.
Invested heavily in eco-friendly packaging, supply chain ethics, and community programs.
3. Apple Inc.
Committed to becoming carbon neutral by 2030.
Invests in renewable energy for data centers and supply chain sustainability.
4. Green Bonds by Governments
India: Issued sovereign green bonds to finance solar and wind energy.
China: One of the largest issuers of green bonds globally.
EU: Launched “NextGenerationEU” recovery fund with a strong green finance focus.
Part VI: Benefits of ESG & Green Finance
Risk Mitigation – Companies with strong ESG practices face fewer legal and reputational risks.
Long-Term Value Creation – Sustainable companies build resilience against climate and market shocks.
Better Investor Returns – ESG funds often outperform benchmarks over long horizons.
Positive Brand Image – Firms adopting ESG gain consumer trust and loyalty.
Access to Capital – Green finance instruments often come with lower borrowing costs.
Conclusion
ESG investing and green finance are not just trends—they are reshaping global financial markets. By embedding environmental, social, and governance considerations into investment decisions, stakeholders can drive capital towards sustainable and ethical businesses.
While challenges like greenwashing and lack of standardization remain, the direction is clear: the future of finance will be green, responsible, and impact-driven.
Investors, policymakers, and companies who embrace this shift early are likely to reap long-term benefits—not just in profits, but in contributing to a more sustainable planet.






















