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SPX trade ideas

Quarterly Candle AnalysisQuarterly candle data going back to 1928 was exported and analyzed in Excel . The purpose of doing so was to identify candles comparable to the candle we had in Q2 of 2025 (last quarter) in terms of scale and form. Two properties of the candles were considered: 1. Candle Length as a % of Close (Column L) 2. Lower Wick as a % of Close minus Upper Wick as a % of Close (Column R) The product of these properties (Column S) was considered as the primary quantitative metric for this analysis. The two quarters determined to be most similar based on having green candles with forms similar to Q2 2025 were as follows: Q4 1998 Q1 2016 Both quarters were followed by at least 4 more bullish quarters, hence, the result of this analysis is bullish, as should be expected with such a bullish candle.
SP:SPXLong
by Skipper86
People don't like the truth! Let's be honest, people don't like honesty. They prefer ideas that affirm their own beliefs. When I read articles and posts from newer traders, it's often from a place of "all in" diamond hands and the notion that things go up forever. I've been a trader for over 25 years now, and the game isn't about making a quick buck, it's about making money over and over again. This got me thinking, the issue is when you deal with a small account you require leverage, small timeframes and of course the "shit" or bust mindset. If you lose a thousand dollars, $10,000 even $100,000 - what does it matter? That's no different than a game of poker in Vegas. The idea of being 80% in drawdown, is alien to me. The idea of one trade and one win is also a crazy notion. Instead of playing with the future, there is an easier way to work. This isn't about slow and boring, it's about psychology and discipline. 10% returns on a million-dollar account isn't all that difficult. Instead of aiming for 300x returns on an alt coin (due to the account size being tiny) You can make less of a percentage gain with a larger account size. In terms of psychology - the word " HOPE " is used, way too often, it's used when you hope a stock or the price of Bitcoin goes up, it's used when you hope the position comes back in your favour, it's used when you want your 10,000 bucks to double. This isn't trading, it's gambling. The truth is, it's not the winners that make you a good trader. It's the way you deal with the losses. Once you learn proper risk management, a downtrend in a market move is a 1-2% loss coupled with a new opportunity to reverse the bias. As a disciplined trader, the game is played differently. Let's assume you don't have $100k spare - prop firms are a great option, OPM = other people's money. Remove the risk and increase the leverage, all whilst trading with discipline. The market goes through many phases, cycles and crashes. You don't always need something as catastrophic to take place, but if you are all in on a position. You need to understand that losses can be severe and long-lasting. When everyone sees an oasis in the desert, it's often a mirage. You only have to look at the Japanese lesson in 1989, when the Nikkei was unstoppable-until it wasn't. For that short space in time, everyone was a day trader, housewives to taxi drivers. Everyone's a genius in a Bull market. Then comes the crash. The recovery time on that crash? 34-years!!! I have covered several aspects of psychology here on TradingView; When it comes to trading, if you are able to keep playing. It's a worthwhile game. If you are gambling, it's a game whereby the house often wins. Right now, stocks are worth more than their earnings. Gold is up near all-time highs, crypto, indices the same. All I am saying is if you are all in. Be careful! Disclaimer This idea does not constitute as financial advice. It is for educational purposes only, our principal trader has over 25 years' experience in stocks, ETF's, and Forex. Hence each trade setup might have different hold times, entry or exit conditions, and will vary from the post/idea shared here. You can use the information from this post to make your own trading plan for the instrument discussed. Trading carries a risk; a high percentage of retail traders lose money. Please keep this in mind when entering any trade. Stay safe.
FOREXCOM:SPX500Education
by Mayfair_Ventures
US500 Bulls Assemble | Breakout Heist Strategy📈🚨 MASTER HEIST PLAN: “SPX500 ROBBERY – THIEF TRADING STYLE 🔥💸” 🚨📈 (The Ultimate Long Strategy Blueprint for Smart Day/Swing Traders) 🌍 Greetings to All Market Bandits, Bullish Burglars, and Chart Snipers! Hola! Bonjour! Ola! Hallo! Marhaba! 🙌 🦹‍♂️This is your friendly chart thief checking in with the latest SPX500/US500 masterplan! This isn’t just a trade—it’s a heist 🎯. We’re not here to participate, we’re here to dominate! Welcome to the Thief Trading Style, where we map, trap, and snatch those pips with ruthless precision. 🧠🔍💰 🚀 THIEF TRADE SETUP - SPX500/US500 A mix of technical sniper entries + fundamental black ops analysis = 💸 Maximum Extraction. 💸 🎯 ENTRY PLAN: THE BREAKOUT HEIST 📍Buy Entry Zone: Wait for the clean breakout + candle close above 6270.00. "The vault opens once we clear that wall. Let the bullish getaway begin!" 💥🚪📈 🛠️Thief Tips for Entry: Use Buy Stop Orders above resistance levels. OR layer in Buy Limit Orders near recent pullbacks (15/30m swing zones) using DCA Style (Dollar Cost Average layering like a pro). Want stealth mode? Set that alert (alarm), and strike when the breakout sings. 🔔🎯 🛑 STOP LOSS – PROTECT THE LOOT 🧨Set your SL smart—beneath the nearest swing low using the 2H timeframe for stronger structure. 💬 “Look, don’t gamble. A thief knows when to run. Set that stop where I showed ya, or risk losin’ the bag.” 💼💣 ❗Your SL should reflect your risk per trade, lot size, and number of entries. It’s your getaway plan—don’t mess it up. 💥 TARGETS – WHERE WE CASH OUT 🏴‍☠️Primary Take Profit (TP1): 6310.00 🏴‍☠️Secondary Take Profit (TP2): 6370.00 💹 Scalp Traders: Stick to the Long Side Only. Ride the momentum, but use trailing SL to lock it in. 🔍 THIEF FUNDAMENTAL INTEL: WHY THIS IS OUR MOMENT Current SPX500 bullishness driven by: ✅ Positive macro & geopolitical tailwinds ✅ Institutional positioning (COT reports) ✅ Intermarket analysis showing strong correlations ✅ Momentum building with sentiment and volume 📌 Stay sharp—check all your fundamental reports, news catalysts, and sentiment tools before executing your move. Smart thieves plan every detail. 🎓📊 ⚠️ NEWS RELEASE REMINDER 📢 News = Chaos. Don’t get caught in the spray: 🔒Avoid entering trades just before big announcements. 🚀 Use Trailing SL to secure profit if you're already in. Stay agile. Stay smart. Stay rich. 💼🚁 ❤️ SUPPORT THE HEIST – HIT THAT BOOST BUTTON! 👊 Liked the plan? Hit the Boost to join the elite robbery crew. Every boost fuels the mission. Every like sharpens the strategy. Let's build a team of smart, profitable traders. 🚀💸🔥 🧠 Remember: This is general analysis – not financial advice. Manage your risk like a true thief. Stay updated. Adapt fast. Don't get caught. 🕵️‍♂️ 🎉See you in the next Heist Plan! Keep your tools sharp, your charts cleaner, and your profit bags fatter. 🤑🔥
FPMARKETS:US500Long
by The-Thief
S&P500 Critical short-term crossroads.The S&P500 index (SPX) has been trading within a Channel Up since for the entirety of July and right now is ahead of important crossroads. It either breaks out above the pattern or pulls back to price a new Higher Low. Based on the 4H CCI and the similarities with the June 24 - 25 consolidation, there are higher probabilities to break upwards. That fractal reached the 2.0 Fibonacci extension after it broke out. We will wait for confirmation and if it's delivered, we will buy the break-out and target 6460 (just below Fib 2.0 ext). Until then, being so close to the Channel Up top, makes a solid short opportunity targeting a Higher Low (bottom). The previous one was priced exactly on the 4H MA100 (green trend-line) so that's our target or 6250 if it comes earlier. ------------------------------------------------------------------------------- ** Please LIKE 👍, FOLLOW ✅, SHARE 🙌 and COMMENT ✍ if you enjoy this idea! Also share your ideas and charts in the comments section below! This is best way to keep it relevant, support us, keep the content here free and allow the idea to reach as many people as possible. ** ------------------------------------------------------------------------------- Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. 💸💸💸💸💸💸 👇 👇 👇 👇 👇 👇
TRADENATION:US500
by TradingShot
S&P500 push to new ATH? Key Developments: AI Drives Earnings Momentum Alphabet reported strong results, but flagged surging AI infrastructure costs, signaling increased capex ahead. SK Hynix posted record earnings and committed to expanding AI-related investments, reinforcing the sector’s critical growth role. Investor sentiment remains AI-positive, with capital rotation favoring tech and semiconductors despite margin compression risks. Banking Sector Boosted by Tariff-Driven Volatility Deutsche Bank’s FIC (Fixed Income & Currencies) trading revenue jumped 11% to €2.28B, its best Q2 since 2007, aided by global trade uncertainty. BNP Paribas also beat earnings estimates, continuing the strong showing from European banks amid market volatility. Trade & Tariff Watch The EU and US are nearing a deal on a 15% standard tariff rate, potentially stabilizing trade flows and market pricing. Trump’s broader reciprocal tariff push remains in focus, especially after the US-Japan deal. Investors are watching for signs of escalation or resolution with other partners like the EU and Canada. Fed in the Political Spotlight Trump visited the Fed’s construction site, criticizing costs and maintaining pressure on Chair Jerome Powell. Speculation about Fed leadership changes and political interference is unsettling, though markets have largely shrugged this off for now. Meanwhile, House Republicans are drafting a follow-up tax-and-spending plan, which could shape future fiscal policy and market expectations. Conclusion: S&P 500 Trading Outlook The S&P 500 remains buoyed by strong earnings, particularly from AI-linked sectors and financials, while geopolitical risks and tariff volatility are being absorbed as catalysts for trading profits rather than panic. Bullish factors: Strong corporate earnings (Alphabet, SK Hynix, Deutsche Bank), potential trade de-escalation (EU-US tariff deal), and AI momentum. Risks to monitor: Rising AI capex (impact on margins), political tension around the Fed, and tariff uncertainty. Key Support and Resistance Levels Resistance Level 1: 6387 Resistance Level 2: 6457 Resistance Level 3: 6502 Support Level 1: 6272 Support Level 2: 6224 Support Level 3: 6156 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.
TRADENATION:US500
by TradeNation
Well...... I have no words to say, lets see what happens now. The Last Breath of Bulls They came with horns of thunder, hooves pounding gold from earth, a decade’s dance in roaring winds, each sunrise glinting mirth. They charged through fields of candlesticks, green banners held aloft, dreams stacked on dreams, layer by layer, voices rising, soft to rough. But markets tire as all beasts do, the grass runs dry and thin, greed’s fattened calves now restless, as silence crowds the din. A tremor in the trading halls, screens blinking red, then grey, the bulls look up at iron clouds, no dawn in this new day. They stand, bewildered, heavy, in fields now tinged with frost, the horns that once carved futures bright, bowed under the cost. The end comes not with fury, but a quiet pulling thread, the bullish songs that once were sung, now whispers of the dead. Yet even as the bulls lie down, the soil still holds the sun, for from the hush of fallen hooves, new seasons will be spun.
SP:SPXShort
by B00tyHAWK
Market Breadth Flashes Warning, but S&P 500 Still Holds SteadyThe S&P 500 continues its slightly positive movement. However, the momentum has been slowing, forming a long, wedge-like pattern. These long wedges have been a recurring feature in the stock market for years. From the monthly timeframe to the 1-hour chart, the market often forms wedges. Wedge formations tend to break to the downside but can persist for a long time before doing so. The S&P 500 typically makes a sharp correction selloff, then recovers in a "V" shape, followed by the formation of another wedge. This pattern appears to be repeating once again. Still, there are some negative signals that traders should be aware of: 1- The impact of tariffs on growth remains a major unknown. Most tariff deals have not been finalized yet. While the Japan agreement is a positive step, negotiations with the EU will be more significant. 2- Many earnings reports will be released in the coming weeks, potentially shaping market sentiment. These earnings will reflect some of the tariff effects. AI and tech remain the key market drivers, so their results will be especially important. 3- Some breadth indicators are showing early warning signs. One of the most useful is the "percentage of stocks above the 200-day moving average." This metric shows whether the market is broadly participating in the rally or being driven by a few large-cap names. Typically, when the market weakens, traders rotate into mega caps. The rounded numbers below shows the weakness: March 2024 Top: 5250 - Percantege Above 200 MA: 85% July 2024 Top: 5675 - Percantege Above 200 MA: 80% December 2024 Top: 6100 - Percantege Above 200 MA: 74% July 2025 Current: 6309 - Percantege Above 200 MA: 66% This shows that fewer and fewer stocks are managing to stay above their 200-day moving average while S&P making new highs. This is not an immediate red flag, but the weakening is apparent. In summary, the slightly positive outlook remains intact for now and is expected to continue until the wedge breaks with some early warning signs. If that happens, a sharp selloff may follow, creating both selling and buying opportunities. In the short term, 6280 is the immediate support level to watch.
SP:SPX
by ftdsystem
SPX - Time for a correction? To make it very simple, Prices have been going up very nicely those last few weeks and months. Everyone is happy but as we know that can't last. NASDAQ:OPEN seems to be the latest pump and dump and it's just another sign of a coming correction imho. Most stocks I've been following have reached resistance zone, levels where profit taking is very likely. $S&P500 seems to have made a fifth wave, RSI divergence is present and confirming that. It's difficult to pinpoint the exact top of course so I'm giving myself some leeway and use a small 1% stop loss in this case.
SP:SPXShort
by ElliottWaveBelgium
1
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.
SP:SPXEducation
by EdgeTools
If we want a 2020-2021 style run, we need a seasonal pullbackUS 500 Index SP:SPX AMEX:SPY AMEX:VOO August seasonal scenario: institutional participation remains light, being outperformed by leveraged dip buying retail. How long can they remain on the sidelines, missing opportunities for their clients, before FOMO kicks in? Remember that institutions aren't emotionally driven, unlike their retail counter parts. That being said, they're itching to get in. What will compel them? IMO, a 5% pull back will incentivize them to buy. The August seasonal pull back may provide just that opportunity. If it comes, what happens in late Q3 and the rest of Q4 will likely be similar to 2020-2021. The deeper the pull back, the more impulsive it will likely be, as retail and institutions will be temporarily in tandem. SP:SPX PEPPERSTONE:US500 AMEX:SPY AMEX:VOO
PEPPERSTONE:US500Long
by Davy_Dave_Charts
Waiting for a Clear Signal: Too Early to Short the IndexNothing interesting is forming on the index so far. My outlook remains neutral. I previously attempted to short it, but those attempts were unsuccessful. Now I need to wait for a more reliable entry point — the chart will show the way. For now, I’m staying on the sidelines. Historically, the start of the Fed’s rate-cutting cycle has always coincided with the beginning of a decline in the stock market. I believe this time won’t be an exception — but for now, it’s too early to short.
SP:SPX
by kventinka
SPX: Investors` defensive positioning? The past week brought a flurry of important US macro data and a high market volatility in line with it. In addition, the FOMC meeting brought up increased nervousness regarding Fed's view on current and future macroeconomic developments. As Fed Chair Powell informed the public, the inflation is perceived to pick-up a bit as a reflection of imposed trade tariffs, but the Fed is not expecting that it will have a significant effect on increasing inflation, but only the one-off effect. Future Fed moves will continue to be data dependent and risk-assessed, in which sense, a direct answer to potential September rate cut was not provided by Fed Chair Powell. Although Friday brought up some major market corrections in the S&P 500, Thursday's trading session was the one to bring major sentiment and indication over forthcoming correction. Namely, Thursday started in a positive manner, where the index reached a new all time highest level at 6.427, but soon after the market tumbled down, ending the trading day at 6.333. Futures were traded lower on Friday, where the S&P 500 was opened by 1,5% lower, ending the week at 6.238. These movements during the last two trading days are quite important because such strong moves in the value of index could be imposed only by institutional investors, showing their sentiment regarding the macro environment expectations at this moment. Much of the negative market sentiment was driven by surprisingly weak non-farm payroll data of only 73K in July, which was below market estimate of 110K. At the same time, the unemployment rate modestly picked up in July to 4,2%, from 4,1% posted previously. Some analysts are noting that this could be a summer seasonal effect, however, investors are concerned that this could be a sign of a weakening US economy, due to implemented trade tariffs. During the time of writing this article, CNBC posted a news that the U.S. President Trump ordered immediate release of a duty of a Commissioner of labor statistics, due to continued posts of inaccurate labor data and its frequent revisions, also putting doubts that the July figure of 73K is accurate. Regardless of actual accuracy of the US jobs data, investors continue to be concerned regarding the effects of implemented trade tariffs on earnings and growth of US companies. As analysts are noting, some of them are trying to lock in gains as earnings risks emerge, but with future uncertainties, a defensive positioning of investors might be wider in the coming period.
SP:SPX
by XBTFX