SPX500 Eyes New ATH – Key Levels in PlaySPX500 – Overview
The index remains under bullish pressure, with potential to record a new all-time high (ATH).
As long as the price holds above 6246, the bullish trend is likely to continue toward 6282.
A confirmed 1H close above 6287 could trigger further upside toward 6310 and 6341.
However, a break below 6223 would signal bearish momentum, opening the path toward 6195 and 6143.
Pivot Line: 6282
Resistance: 6310, 6341
Support: 6246, 6223, 6195
SP500FT trade ideas
Sp500S&P 500 (SPX) Technical Update:
Closing Price: 5648.39 (as of last week’s close)
Outlook: The SPX appears poised for a potential rally, with immediate resistance levels identified at 5700.00, 5800.00, and 6000.00. Based on current technical indicators and market conditions, a continuation of the bullish trend to the 5800.00 level within the next month seems plausible.
Technical Indicators Supporting a Bullish Move:
Moving Averages: The SPX is currently trading above its 50-day and 200-day moving averages, indicating a strong bullish trend. The positive crossover between these moving averages often signals sustained upward momentum.
Relative Strength Index (RSI): The RSI is currently positioned in the bullish zone (above 50) and has not yet reached overbought conditions. This suggests that there is room for further upside before any potential reversal.
MACD (Moving Average Convergence Divergence): The MACD line is above the signal line, and the histogram is in positive territory. This indicates that the momentum is favorable and supports the possibility of further gains.
Volume: Recent upward movements have been accompanied by increasing trading volume, which validates the strength of the rally and suggests that buying interest remains robust.
Summary: Given the strong technical indicators and the current market environment, the SPX is well-positioned to advance towards the 5800.00 level over the next month. Current buying opportunities appear favorable for potentially significant gains.
Trading at the market topHello,
The stock market is back at an all-time high. This often brings excitement for existing investors—and a sense of anxiety or even FOMO (fear of missing out) for those who stayed on the sidelines when prices were lower.
It’s tempting to jump in, especially with headlines filled with optimism and portfolios showing green across the board. But this is also a time for caution and patience.
After a sustained rally, price levels often outpace fundamentals like earnings growth, economic stability, or interest rate trends. In such moments, valuations can become stretched, and investor sentiment overly euphoric conditions that typically precede short-term pullbacks or corrections.
Buying at the top locks in risk, not value.
If you're feeling late to the party, remember that good investors don’t chase prices—they wait for prices to come to them.
The best opportunities often come in moments of fear, not euphoria. And while this market high may go higher still, history shows that eventually, corrections come—and those prepared for them are the ones who win in the end.
Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
SPX - Are you catching the rotation trends? SPX is still holding very bullish price action. Technicals are pointing towards higher price and todays inside consolidation day certainly helps digest recent gains.
Along with the flat indices market session, we did observe some massive capital rotation trends.
Financials saw a pretty strong down move across the board. JPM / BAC / C all saw large outflows. We were positioned on the short side of financials and took profits on JPM puts.
Even with the big selloff in financials, SPX held up surprisingly well.
Capital simply rotated instead of outright leaving the market. Bullish Signal.
Technology, Energy, Materials, Health care, Transports all saw capital inflow trends.
Rotation into under preforming sectors is a sign that markets could be staging another healthy leg up.
We still have an upside target over 6300 on SPX.
Wall Street takes off: 5 secret growth engines for #S&P500 Record closes for the indices on July 21 came from a powerful combo: a surge in #Google , a strong start to the earnings season, gains in #Apple (+0.6%), #Amazon (+1.4%), plus #Microsoft, #Meta Platforms, and #Nvidia . This momentum, coupled with market bets on imminent Fed rate cuts and hopes for a softening US-EU tariff conflict, pushed #S&P500 and #NQ100 to new all-time highs.
5 mega drivers that could keep #S&P500 and #NQ100 on the runway through 2025:
• AI capex and monetization: Top cloud providers are ramping up spending in computing clusters and generative AI solutions. The growing lineup of paid AI products (Google Gemini, Microsoft Copilot+ Apps, Amazon Bedrock) is starting to generate significant revenue, boosting profit estimates for the “Magnificent 7.”
• Fed policy easing: If inflation keeps drifting towards 2%, we may see the first rate cut of the cycle between July and September. Historically, every 25 bps drop in 10-year UST yields adds ~2% to the #NQ100 ’s valuation multiple.
• Record buybacks and dividends: #S&P500 companies hold $3.5 trillion in cash. After tax relief on repatriated foreign earnings earlier this year, several megacap boards approved accelerated buybacks — mechanically supporting stock prices.
• Easing tariff risks: Potential trade deals between the US and EU, and the US and Mexico, would remove the threat of 20–50% tariffs priced into valuations, unlocking CAPEX in manufacturing and semiconductors — sectors with a heavy #NQ100 weight.
• Resilient consumers and services: Unemployment remains near 4%, and household spending is growing 2–3% YoY. This supports e-commerce, streaming, and platform advertising — together making up ~40% of #NQ100 and ~28% of #S&P500 .
The current highs of #S&P500 and #NQ100 aren’t a random spike — they result from strong corporate earnings, expectations of Fed cuts, and hopes of trade détente. If even some of these five drivers materialize, the indices have a strong chance to stay elevated and set new records by year-end. FreshForex analysts believe current prices could spark a new rally, with today’s market conditions offering plenty of entry points in both indices and stock CFDs.
The Empirical Validity of Technical Indicators and StrategiesThis article critically examines the empirical evidence concerning the effectiveness of technical indicators and trading strategies. While traditional finance theory, notably the Efficient Market Hypothesis (EMH), has long argued that technical analysis should be futile, a large body of academic research both historical and contemporary presents a more nuanced view. We explore key findings, address methodological limitations, assess institutional use cases, and discuss the impact of transaction costs, market efficiency, and adaptive behavior in financial markets.
1. Introduction
Technical analysis (TA) remains one of the most controversial subjects in financial economics. Defined as the study of past market prices and volumes to forecast future price movements, TA is used by a wide spectrum of market participants, from individual retail traders to institutional investors. According to the EMH (Fama, 1970), asset prices reflect all available information, and hence, any predictable pattern should be arbitraged away instantly. Nonetheless, technical analysis remains in widespread use, and empirical evidence suggests that it may offer predictive value under certain conditions.
2. Early Empirical Evidence
The foundational work by Brock, Lakonishok, and LeBaron (1992) demonstrated that simple trading rules such as moving average crossovers could yield statistically significant profits using historical DJIA data spanning from 1897 to 1986. Importantly, the authors employed bootstrapping methods to validate their findings against the null of no serial correlation, thus countering the argument of data mining.
Gencay (1998) employed non-linear models to analyze the forecasting power of technical rules and confirmed that short-term predictive signals exist, particularly in high-frequency data. However, these early works often omitted transaction costs, thus overestimating potential returns.
3. Momentum and Mean Reversion Strategies
Momentum strategies, as formalized by Jegadeesh and Titman (1993), have shown persistent profitability across time and geographies. Their approach—buying stocks that have outperformed in the past 3–12 months and shorting underperformers—challenges the EMH by exploiting behavioral biases and investor herding. Rouwenhorst (1998) confirmed that momentum exists even in emerging markets, suggesting a global phenomenon.
Conversely, mean reversion strategies, including RSI-based systems and Bollinger Bands, often exploit temporary price dislocations. Short-horizon contrarian strategies have been analyzed by Chan et al. (1996), but their profitability is inconsistent and highly sensitive to costs, timing, and liquidity.
4. Institutional Use of Technical Analysis
Contrary to the belief that TA is primarily a retail tool, it is also utilized—though selectively—by institutional investors:
Hedge Funds: Many quantitative hedge funds incorporate technical indicators within multi-factor models or machine learning algorithms. According to research by Neely et al. (2014), trend-following strategies remain a staple among CTAs (Commodity Trading Advisors), particularly in futures markets. These strategies often rely on moving averages, breakout signals, and momentum filters.
Market Makers: Although market makers are primarily driven by order flow and arbitrage opportunities, they may use TA to model liquidity zones and anticipate stop-hunting behavior. Order book analytics and technical levels (e.g., pivot points, Fibonacci retracements) can inform automated liquidity provision.
Pension Funds and Asset Managers: While these institutions rarely rely on TA alone, they may use it as part of tactical asset allocation. For instance, TA may serve as a signal overlay in timing equity exposure or in identifying risk-off regimes. According to a CFA Institute survey (2016), over 20% of institutional investors incorporate some form of technical analysis in their decision-making process.
5. Adaptive Markets and Conditional Validity
Lo (2004) introduced the Adaptive Markets Hypothesis (AMH), arguing that market efficiency is not a binary state but evolves with the learning behavior of market participants. In this framework, technical strategies may work intermittently, depending on the ecological dynamics of the market. Neely, Weller, and Ulrich (2009) found technical rules in the FX market to be periodically profitable, especially during central bank interventions or volatility spikes—conditions under which behavioral biases and structural inefficiencies tend to rise.
More recent studies (e.g., Moskowitz et al., 2012; Baltas & Kosowski, 2020) show that momentum and trend-following strategies continue to deliver long-term Sharpe ratios above 1 in diversified portfolios, particularly when combined with risk-adjusted scaling techniques.
6. The Role of Transaction Costs
Transaction costs represent a critical variable that substantially alters the net profitability of technical strategies. These include:
Explicit Costs: Commissions, fees, and spreads.
Implicit Costs: Market impact, slippage, and opportunity cost.
While early studies often neglected these elements, modern research integrates them through realistic backtesting frameworks. For example, De Prado (2018) emphasizes that naive backtesting without cost modeling and slippage assumptions leads to a high incidence of false positives.
Baltas and Kosowski (2020) show that even after accounting for bid-ask spreads and market impact models, trend-following strategies remain profitable, particularly in futures and FX markets where costs are lower. Conversely, high-frequency mean-reversion strategies often become unprofitable once these frictions are accounted for.
The impact of transaction costs also differs by asset class:
Equities: Higher costs due to wider spreads, especially in small caps.
Futures: Lower costs and higher leverage make them more suitable for technical strategies.
FX: Extremely low spreads, but high competition and adverse selection risks.
7. Meta-Analyses and Recent Surveys
Park and Irwin’s (2007) meta-analysis of 95 studies found that 56% reported significant profitability from technical analysis. However, profitability rates dropped when transaction costs were included. More recent work by Han, Yang, and Zhou (2021) extended this review with data up to 2020 and found that profitability was regime-dependent: TA performed better in volatile or trending environments and worse in stable, low-volatility markets.
Other contributions include behavioral explanations. Barberis and Thaler (2003) suggest that TA may capture collective investor behavior, such as overreaction and underreaction, thereby acting as a proxy for sentiment.
8. Limitations and Challenges
Several methodological issues plague empirical research in technical analysis:
Overfitting: Using too many parameters increases the likelihood of in-sample success but out-of-sample failure.
Survivorship Bias: Excluding delisted or bankrupt stocks leads to inflated backtest performance.
Look-Ahead Bias: Using information not available at the time of trade leads to unrealistic results.
Robust strategy development now mandates walk-forward testing, Monte Carlo simulations, and realistic assumptions on order execution. The growing field of machine learning in finance has heightened these risks, as complex models are more prone to fitting noise rather than signal (Bailey et al., 2014).
9. Conclusion
Technical analysis occupies a contested but persistent role in finance. The empirical evidence is mixed but suggests that technical strategies can be profitable under certain market conditions and when costs are minimized. Institutional investors have increasingly integrated TA within quantitative and hybrid frameworks, reflecting its conditional usefulness.
While TA does not provide a universal arbitrage opportunity, it can serve as a valuable tool when applied adaptively, with sound risk management and rigorous testing. Its success ultimately depends on context, execution discipline, and integration within a broader investment philosophy.
References
Bailey, D. H., Borwein, J. M., Lopez de Prado, M., & Zhu, Q. J. (2014). "The Probability of Backtest Overfitting." *Journal of Computational Finance*, 20(4), 39–69.
Baltas, N., & Kosowski, R. (2020). "Trend-Following, Risk-Parity and the Influence of Correlations." *Journal of Financial Economics*, 138(2), 349–368.
Barberis, N., & Thaler, R. (2003). "A Survey of Behavioral Finance." *Handbook of the Economics of Finance*, 1, 1053–1128.
Brock, W., Lakonishok, J., & LeBaron, B. (1992). "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns." Journal of Finance, 47(5), 1731–1764.
Chan, L. K. C., Jegadeesh, N., & Lakonishok, J. (1996). "Momentum Strategies." Journal of Finance, 51(5), 1681–1713.
De Prado, M. L. (2018). Advances in Financial Machine Learning, Wiley.
Fama, E. F. (1970). "Efficient Capital Markets: A Review of Theory and Empirical Work." Journal of Finance, 25(2), 383–417.
Gencay, R. (1998). "The Predictability of Security Returns with Simple Technical Trading Rules." Journal of Empirical Finance, 5(4), 347–359.
Han, Y., Yang, K., & Zhou, G. (2021). "Technical Analysis in the Era of Big Data." *Review of Financial Studies*, 34(9), 4354–4397.
Jegadeesh, N., & Titman, S. (1993). "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency." *Journal of Finance*, 48(1), 65–91.
Lo, A. W. (2004). "The Adaptive Markets Hypothesis: Market Efficiency from an Evolutionary Perspective." *Journal of Portfolio Management*, 30(5), 15–29.
Moskowitz, T. J., Ooi, Y. H., & Pedersen, L. H. (2012). "Time Series Momentum." *Journal of Financial Economics*, 104(2), 228–250.
Neely, C. J., Weller, P. A., & Ulrich, J. M. (2009). "The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market." *Journal of Financial and Quantitative Analysis*, 44(2), 467–488.
Neely, C. J., Rapach, D. E., Tu, J., & Zhou, G. (2014). "Forecasting the Equity Risk Premium: The Role of Technical Indicators." *Management Science*, 60(7), 1772–1791.
Park, C. H., & Irwin, S. H. (2007). "What Do We Know About the Profitability of Technical Analysis?" *Journal of Economic Surveys*, 21(4), 786–826.
Rouwenhorst, K. G. (1998). "International Momentum Strategies." *Journal of Finance*, 53(1), 267–284.
Zhu, Y., & Zhou, G. (2009). "Technical Analysis: An Asset Allocation Perspective on the Use of Moving Averages." *Journal of Financial Economics*, 92(3), 519–544.
S&P 500 H1 | Swing-low support at 38.2% Fibonacci retracementThe S&P 500 (SPX500) is falling towards a swing-low support and could potentially bounce off this level to climb higher.
Buy entry is at 6,291.07 which is a swing-low support that aligns with the 38.2% Fibonacci retracement.
Stop loss is at 6,270.00 which is a level that lies underneath a pullback support and the 50% Fibonacci retracement.
Take profit is at 6,338.29 which is a swing-high resistance.
High Risk Investment Warning
Trading Forex/CFDs on margin carries a high level of risk and may not be suitable for all investors. Leverage can work against you.
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Losses can exceed deposits.
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SPX 500 TO CONTINUE HIGHER Week of July 20, 2025 SPX500 will continue going higher as we don't have any reversal setup yet on the higher time frames, although there is a lot of hesitation on the chart as the past week's new high was not supported. The trend on 4 hours to weekly is still up and has no break of major moving averages yet. I am looking forward to either a capitulation new high candle or a bullish new high candle that breakout of the weekly consolidation zone as we enter another trading week. I hope my thought process and analysis is helpful for making your own trading or investment decisions.
Thank you for listening and wish everyone a great trading week.
Cheers
Weekly Review: The S&P and NASDAQ once again hit all time highs during the week starting Monday 14 July. Which is a sign of confidence despite the ongoing external threats (tariffs / Middle East). I've noticed the current earnings season wasn't approached with as much trepidation as recent earnings seasons have been. Of course, that could come crashing down as companies continue to report over the next couple of weeks.
Once again, the currencies didn't quite react in accordance with the overall 'positive risk environment'. As each of the 'risk off currencies' offers their own separate challenges:
Ever since the recent NFP data, the USD had been strong, the FED continues to maintain a view for a 'slow pace of rate cuts' and US data backs up that view. Particularly this week's retail sales data, even CPI, although relatively benign, wasn't soft enough to warrant a 'FED pivot' towards a more dovish stance. The USD spent most of the week on the front foot, although the 'higher for longer' narrative was put to the test when the president once again offered his views on Mr Powell. Also FED board member WALLER chipped in with some dovish comments. Currently, it's up in the air as to how many more rate cut the FED will implement before year end (if any). The narrative at the July FOMC meeting could go a long way to determine the dollar's direction for the rest of the summer. But ultimately, it'll be the data that decides.
Recently, I've been encouraged by the re-emergence of JPY weakness. This past week, I put any periods of JPY strength down to profit taking before this weekends election. I need to do some reading regarding the implications of the result. But I'm 'hopeful' that over the coming weeks and months the 'old fashioned, JPY short 'risk on trade', will be prevalent.
The CHF continues to have a mind of it's own. It could be tracking EUR strength, it could be the article I read about gold, it could be SNB intervention, It could be random, or something I'm not aware of. Ultimately, until I'm comfortable the CHF is back in correlation with the risk environment, my preference is to short the JPY instead.
In other news, disappointing AUD data took the shine off the hawkish RBA. But I still view the AUD as a good 'risk on' long.
I'll begin the new week with an open mind. My preference remains for 'risk on' trades. But it's a case of keeping up to date with all of the narratives, if momentum aligns with logic and a narrative. And you feel comfortable with a stop loss and profit target, place the trade. But, be aware that the narrative the market is focused on can change from day to day.
On a personal note, it was a week of two trades. A post US CPI 'risk on' AUD JPY long. The trade stopped out. And as discussed during the week, it was one of those situations where if I would have been at the charts and hour later, I would have traded a different pair. That's life.
The second trade was AUD USD long. Post WALLER'S dovish comments, I felt the USD short momentum could continue. On my account the trade hit profit by the skin of its teeth before reversing. Again, that's life. Sometimes you get good luck, sometimes you get bad luck. I feel it's important to acknowledge good luck, as we often only focus on the bad luck we have.
The USD is finely poised and I'm intrigued to see where the data and rate cut narrative takes it over the coming weeks.
Results:
Trade 1: AUD JPY -1
Trade 2: AUD USD +1.2
Total = +0.2%
Miss This Watchlist, Miss Next Week’s OpportunitiesHey friends,it’s Skeptic 🩵 hope you’re having a great weekend!I know it’s the weekend, so a lot of you are probably chilling away from the charts, but for some, trading’s such an addiction that even weekends can’t keep you away. In this video, I’m gonna break down my weekly watchlist for you. Knowing it will help you miss fewer good opportunities, avoid FOMO, and have a plan ready for different scenarios and events.
Don’t forget money management , and stay clear of FOMO. & if it helped smash that boost bottom and follow for more !
S&P500 Bullish breakout supported at 6207Trump’s $3.4 Trillion Tax Plan
Favors wealthy investors: Tax burden shifts based on how you earn, not how much.
Winners: Business owners, investors, high-income earners.
Losers: Immigrants, elite universities.
Trade Tensions
EU Tariffs: Brussels targets $72B in US goods (e.g., Boeing, cars, bourbon) in response to Trump’s tariff threats.
Impact: Risk to transatlantic trade; US open to talks.
US-China Tech Relations
Nvidia: Resumes H20 AI chip sales to China after US approval—boosted chip stocks.
Trump: To announce $70B in AI & energy investments today in Pennsylvania.
Trend: Signs of easing tensions between US and China.
Earnings Focus: Big US Banks
Q2 results (JPM, Citi, WFC, BNY Mellon, BlackRock) will highlight:
Net interest income: How rate levels affect profits
Loan growth & credit quality: Signs of lending strength or weakness
Capital markets activity: Trading & investment banking trends
Key Support and Resistance Levels
Resistance Level 1: 6335
Resistance Level 2: 6380
Resistance Level 3: 6420
Support Level 1: 6207
Support Level 2: 6160
Support Level 3: 6115
This communication is for informational purposes only and should not be viewed as any form of recommendation as to a particular course of action or as investment advice. It is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. Opinions, estimates and assumptions expressed herein are made as of the date of this communication and are subject to change without notice. This communication has been prepared based upon information, including market prices, data and other information, believed to be reliable; however, Trade Nation does not warrant its completeness or accuracy. All market prices and market data contained in or attached to this communication are indicative and subject to change without notice.
S&P 500: Defying Tariff Headwinds, Breaking RecordsThe S&P 500 has staged a remarkable rally in 2025, shattering all-time highs and capturing global attention. This surge has unfolded despite the negative economic overhang of renewed tariff threats and ongoing trade tensions, raising critical questions for investors: How did the market overcome such headwinds, and what lies ahead for both the short and long term?
The Rally Against the Odds
Tariff Turbulence: Earlier this year, President Trump announced sweeping new tariffs, sparking fears of supply chain disruptions and higher costs for American companies. Historically, such moves have triggered volatility and corrections.
Market Resilience: Despite these concerns, the S&P 500 not only recovered losses from the spring but surged to new record highs, with the index climbing over 23% since April’s lows. Major tech companies, especially those leading in AI and innovation, have been at the forefront of this advance.
Investor Sentiment: The rally has been fueled by optimism around potential Federal Reserve rate cuts, robust corporate earnings, and expectations of long-term economic growth—even as the immediate impact of tariffs remains uncertain.
Short-Term Correction: A Healthy Pause?
While the long-term outlook remains bullish, several indicators suggest the market may be due for a short-term correction:
Narrow Market Breadth: The current rally has been driven by a handful of mega-cap stocks, leaving the median S&P 500 stock well below its own 52-week high. Historically, such narrow leadership often precedes periods of consolidation or pullbacks.
Valuation Concerns: Stock valuations are at elevated levels, and some analysts warn that earnings growth could slow as companies adapt to higher input costs and shifting trade policies.
Correction Forecasts: Some strategists predict the S&P 500 could correct to around 5,250 by the third quarter of 2025, citing factors like slowing consumer spending and persistent policy uncertainty.
Long-Term Outlook: Higher Highs Ahead
Despite the potential for near-term volatility, the long-term trajectory for the S&P 500 remains positive:
Fed Policy Tailwinds: Anticipated rate cuts and lower bond yields are expected to provide further support for equities, encouraging risk-taking and higher valuations.
Corporate Adaptation: Companies are actively offsetting tariff impacts through cost savings, supply chain adjustments, and strategic pricing.
Growth Sectors: Innovation in technology, productivity gains, and deregulation are setting the stage for sustained profit growth, especially in sectors like AI, robotics, and defense.
Key Takeaways for Investors
Stay Disciplined: While a short-term correction is possible, history shows that markets often rebound strongly after periods of volatility.
Diversify Exposure: With market gains concentrated in a few names, diversification and active stock selection are more important than ever.
Focus on Fundamentals: Long-term investors should look beyond headlines and focus on companies with resilient earnings and adaptive business models.
The S&P 500’s ability to break records in the face of tariff headwinds is a testament to the underlying strength and adaptability of the U.S. economy. While short-term bumps are likely, the path ahead still points toward new highs for those with patience and perspective.
This article is for informational purposes only and does not constitute investment advice. Always consult with a financial advisor before making investment decisions.
#spx500 #stockmarket #analysis #economy #us #nasdaq #fed #bonds #rates #trading
S&P500 Slips Ahead of CPI & Earnings SeasonEquities began the week under pressure, with the S&P 500 dropping 0.5%, slipping below the 6,230-resistance area. Although the Fed minutes released last week indicate that most members are open to cutting rates this year, inflation data and second-quarter earnings could change that trajectory.
Upcoming Events to Watch:
• CPI Release (Tuesday 14:30 SAST): A cooler-than-expected print would support a breakout in risk assets. A hot reading could shift expectations toward policy tightening, weighing on equities.
• Q2 Earnings Season: Major banks including JPMorgan Chase, Wells Fargo, and Citigroup will report this week. Strong earnings may cushion the market, while any weakness could exacerbate volatility.
S&P500 Technical View:
• Immediate Resistance: 6,230
• Potential Upside: A cooler CPI could see the index rally toward 6,290.
• Support Levels: Should inflation surprise to the upside, the index may slide to 6,190, or even 6,150 in extended selling.
$SPXSP:SPX Update:
Rumors of Powell possibly resigning as Fed Chair have created uncertainty among buyers.
But if inflation stays low even with tariffs we might see longer holds.
If Powell does step down, markets could actually rally on hopes of upcoming rate cuts.
📉📈
Now we wait for the inflation report…
SPX500USD | Retesting All-Time HighsThe index has extended its bullish rally, printing a new local high at 6,286.5 before showing signs of slight hesitation with consecutive small-bodied candles.
Support at: 6,134.5 / 6,026.0 / 5,926.2 🔽
Resistance at: 6,286.5 🔼
🔎 Bias:
🔼 Bullish: Sustains above 6,134.5 and breaks 6,286.5 for new highs.
🔽 Bearish: Break below 6,134.5 could trigger a retracement toward 6,026.0.
📛 Disclaimer: This is not financial advice. Trade at your own risk.
US500 Is Bullish! Long!
Here is our detailed technical review for US500.
Time Frame: 3h
Current Trend: Bullish
Sentiment: Oversold (based on 7-period RSI)
Forecast: Bullish
The market is trading around a solid horizontal structure 6,252.40.
The above observations make me that the market will inevitably achieve 6,297.19 level.
P.S
Overbought describes a period of time where there has been a significant and consistent upward move in price over a period of time without much pullback.
Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
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