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Intraday Levels for Nasdaq 100 Futures - 12/05/2024This analysis focuses on the Nasdaq 100 Futures, aiming to identify potential support and resistance levels where the price could experience intraday bounces or trend reversals, as well as zones where the price might potentially break higher or move lower. Considerations To confirm the validity of these levels, it is essential to evaluate real-time conditions as the price approaches these zones. Factors such as pressure, trading volume, and Order Flow will play a critical role in determining whether these supports hold or are likely to be broken.
CME_MINI:NQ1!
by Giovanni_Bandini
Intraday Levels for Nasdaq 100 FuturesThis analysis highlights key Support zones for intraday trading, based on the provided chart. Analysis The Nasdaq 100 has reached its all-time highs, meaning there are currently no technical resistances above the current levels. However, we can identify some support zones where the price might bounce or reverse. Considerations To confirm the validity of these levels, it is essential to evaluate real-time conditions as the price approaches these zones. Factors such as pressure, trading volume, and Order Flow will play a critical role in determining whether these supports hold or are likely to be broken.
CME_MINI:NQ1!
by Giovanni_Bandini
TradeCityPro | EURCAD Analysis Reaching the Daily Box Target👋 Welcome to the TradeCityPro channel! Let’s dive into the forex market and analyze this popular pair, outlining key triggers for trading this week. 🌍 Fundamental Overview EURCAD reflects the economic interplay between the Eurozone and Canada, influenced by: 🇪🇺 Eurozone Fundamentals (EUR): ECB Policies: The European Central Bank's monetary stance (hawkish or dovish) significantly impacts the Euro’s strength. 🇨🇦 Canadian Dollar Fundamentals (CAD): Oil Prices: CAD is sensitive to oil fluctuations due to Canada’s major oil exports. Rising oil prices typically strengthen the CAD. Geopolitical tensions, trade balances, and global risk sentiment often sway EURCAD. The Euro acts as a reserve currency, while the CAD is risk-sensitive. 🕒 4-Hour Time Frame 1.4888 is the critical resistance, marking the top of the daily box (1.4888–1.5171). After breaking this level, the pair hit its target at 1.4556, a significant support level. The rejection at this resistance highlights its importance. The 1.4731 level, broken yesterday but reclaimed today, offers a potential trigger for entries. 📉 Short Position Trigger clear short trigger exists below 1.4731. Breaking this support could lead to further downside, targeting 1.4556. 📈 Long Position Trigger While momentum-driven long entries are possible if the RSI enters overbought, a more reliable entry comes from consolidating within the current range or forming higher highs and lows. 📝 Final Thoughts This analysis reflects our opinions and is not financial advice. Share your thoughts in the comments, and don’t forget to share this analysis with your friends! ❤️
by tradecitypro
1
VELAS IS IN THE PROGRESS - TO THE TOP, WHERE IT BELONGSDescending Triangle Pattern: A bearish continuation pattern is forming, typically indicating potential further downside if it breaks below the horizontal support. However, a breakout above the descending resistance could invalidate this pattern and indicate bullish momentum. Support and Resistance Levels: Support Levels: $0.0075: A critical support zone. A break below this level could lead to significant downward momentum. $0.0052: The next potential target for bearish continuation. Resistance Levels: $0.0165: Key resistance from the descending triangle trendline. $0.0202 and $0.0251: Potential targets for a bullish breakout. $0.0338: A major long-term resistance level. Indicators: RSI (Relative Strength Index): RSI is hovering near 44, showing a neutral to slightly bearish sentiment. A move below 30 would indicate oversold conditions, while crossing above 50 could signal bullish momentum. Stochastic Oscillator: Currently near oversold territory (15.97), suggesting the potential for a bullish reversal in the short term. VMACD (Visual MACD): Divergences observed on the chart indicate a potential bullish reversal. Pay attention to the crossover points. Market Sentiment: The ongoing consolidation within the triangle suggests indecision in the market. A clear breakout or breakdown will dictate the next directional move. Trading Plan Entry Strategy: IMMEDIATELY Exit Strategy: When you feel good about it :)
CRYPTO:VLXUSDLong
by elfabiiani
Corn Futures: New All Time Highs Ahead 10x potential CBOT:ZC1! Straight forward MACRO LONG to new ALL TIME HIGH. Easy 2x upside to previous all time high within a year and 5-10x upside within the next couple of years. There is a huge fair value gap or unbalanced zone to the upside (yellow) to be filled. The 3 month chart has finally started to show signs of reversal as price retraced to a key high volume zone (gray) and printed a bullish hammer candle. Weekly timeframe is lacking strength and looking like it wants to retest the low $400's. Rather wait for a further retrace or jump in upon a break of previous highs.
CBOT:ZC1!Long
by ZelfTrade
Timeframes and Correlations in Multi-Asset Markets1. Introduction Understanding correlations across timeframes is essential for traders and investors managing diverse portfolios. Correlations measure how closely the price movements of two assets align, revealing valuable insights into market relationships. However, these relationships often vary based on the timeframe analyzed, with daily, weekly, and monthly perspectives capturing unique dynamics. This article delves into how correlations evolve across timeframes, explores their underlying drivers, and examines real-world examples involving multi-asset instruments such as equities, bonds, commodities, and cryptocurrencies. By focusing on these key timeframes, traders can identify meaningful trends, manage risks, and make better-informed decisions. 2. Timeframe Aggregation Effect Correlations vary significantly depending on the aggregation level of data: Daily Timeframe: Reflects short-term price movements dominated by noise and intraday volatility. Daily correlations often show weaker relationships as asset prices react to idiosyncratic or local factors. Weekly Timeframe: Aggregates daily movements, smoothing out noise and capturing medium-term relationships. Correlations tend to increase as patterns emerge over several days. Monthly Timeframe: Represents long-term trends influenced by macroeconomic factors, smoothing out daily and weekly fluctuations. At this level, correlations reflect systemic relationships driven by broader forces like interest rates, inflation, or global risk sentiment. Example: The correlation between ES (S&P 500 Futures) and BTC (Bitcoin Futures) may appear weak on a daily timeframe due to high BTC volatility. However, their monthly correlation might strengthen, aligning during broader risk-on periods fueled by Federal Reserve easing cycles. 3. Smoothing of Volatility Across Timeframes Shorter timeframes tend to exhibit lower correlations due to the dominance of short-term volatility and market noise. These random fluctuations often obscure deeper, more structural relationships. As the timeframe extends, volatility smooths out, revealing clearer correlations between assets. Example: ZN (10-Year Treasuries) and GC (Gold Futures) exhibit a weaker correlation on a daily basis because they react differently to intraday events. However, over monthly timeframes, their correlation strengthens due to shared drivers like inflation expectations and central bank policies. By aggregating data over weeks or months, traders can focus on meaningful relationships rather than being misled by short-term market randomness. 4. Market Dynamics at Different Frequencies Market drivers vary depending on the asset type and the timeframe analyzed. While short-term correlations often reflect immediate market reactions, longer-term correlations align with broader economic forces: Equities (ES - S&P 500 Futures): Correlations with other assets are driven by growth expectations, earnings reports, and investor sentiment. These factors fluctuate daily but align more strongly with macroeconomic trends over longer timeframes. Cryptocurrencies (BTC - Bitcoin Futures): Highly speculative and volatile in the short term, BTC exhibits weak daily correlations with traditional assets. However, its monthly correlations can strengthen with risk-on/risk-off sentiment, particularly in liquidity-driven environments. Safe-Havens (ZN - Treasuries and GC - Gold Futures): On daily timeframes, these assets may respond differently to specific events. Over weeks or months, correlations align more closely due to shared reactions to systemic risk factors like interest rates or geopolitical tensions. Example: During periods of market stress, ZN and GC may show stronger weekly or monthly correlations as investors seek safe-haven assets. Conversely, daily correlations might be weak as each asset responds to its unique set of triggers. 5. Case Studies To illustrate the impact of timeframes on correlations, let’s analyze a few key asset relationships: o BTC (Bitcoin Futures) and ES (S&P 500 Futures): Daily: The correlation is typically weak (around 0.28) due to BTC’s high volatility and idiosyncratic behavior. Weekly/Monthly: During periods of broad market optimism, BTC and ES may align more closely (0.41), reflecting shared exposure to investor risk appetite. o ZN (10-Year Treasuries) and GC (Gold Futures): Daily: These assets often show weak or moderate correlation (around 0.39), depending on intraday drivers. Weekly/Monthly: An improved correlation (0.41) emerges due to their mutual role as hedges against inflation and monetary uncertainty. o 6J (Japanese Yen Futures) and ZN (10-Year Treasuries): Daily: Correlation moderate (around 0.53). Weekly/Monthly: Correlation strengthens (0.74) as both assets reflect broader safe-haven sentiment, particularly during periods of global economic uncertainty. These case studies demonstrate how timeframe selection impacts the interpretation of correlations and highlights the importance of analyzing relationships within the appropriate context. 6. Conclusion Correlations are not static; they evolve based on the timeframe and underlying market drivers. Short-term correlations often reflect noise and idiosyncratic volatility, while longer-term correlations align with structural trends and macroeconomic factors. By understanding how correlations change across daily, weekly, and monthly timeframes, traders can identify meaningful relationships and build more resilient strategies. The aggregation of timeframes also reveals diversification opportunities and risk factors that may not be apparent in shorter-term analyses. With this knowledge, market participants can better align their portfolios with prevailing market conditions, adapting their strategies to maximize performance and mitigate risk. When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: www.tradingview.com - This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies. General Disclaimer: The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
COMEX:GC1!Education
by traddictiv
GOLD Weekly Outlook Nov. 24, 2024Gold has aggressively bought up into now a premium level to finally begin to send price lower. Staying with my initial bias, that we have indeed capped the high of the year for Gold given the fact that it has bought aggressively the entire year and must now form the closing wick for 2024 trading year. For the upcoming week I'm anticipating rejections out of the imbalances currently above price and the daily order block currently above price. I would love to see Monday range and either Tuesday or Wednesday manipulate that range. Looking at the Economic Calendar I see that the first significant High Impact news event occurs on Wednesday (Unemployment Claims 8:30am, and FOMC Minutes 2:00pm). so I would like to see that day either manipulate or be a continuation day from a Tuesday manipulation. If you have any questions regarding this analysis or outlook, feel free to send me a message here or on my other socials. Thanks.
COMEX_MINI:SILZ2024Short
by chaarate
QQQ - GAP Fill QQQ - Gap Fill. Will we be seeing this Newley formed gap that has occurred this week be filled in the next coming weeks? We can see from 6th of May this year that a gap occurred and we waited a 3 months for this to be filled. Giving a great support zone for future price. End of October we did see a gap that happened and it took just 1 month for this to be filled Including great pump through giving us a good support for our Newley supported Gap. This would be a great opportunity for the investment traders / swing traders to get a hold off and keep buying till this gap has been filled. We do have 2 VWAP anchored on this chart High and Low all showing positive turns to fill this gap in the upcoming weeks coming to Christmas market close.
NASDAQ:QQQLong
by PipsandTicks1
GOLD NEXT TARGET A bearish outlook on gold suggests that prices are expected to decline over a period of time. This could be due to various factors, including a strong U.S. dollar, rising interest rates, or a lack of investor demand. When gold is bearish, it typically indicates a market sentiment where traders and investors believe that economic conditions or market forces are reducing gold’s value as a safe-haven asset. Traders might look for short-selling opportunities, aiming to profit from the potential decrease in gold prices.
OANDA:XAUUSDShort
by Kishorekesh
AVAX Futures Stop Buy Signal - 4-Hour Timeframe🔹 Position Type: Stop Buy (Entry after breaking $38) 🔹 Entry Price: $38 🔹 Stop Loss: $33 🔻 (−13.15%) 🔹 Take Profit: $51 🔺 (+34.21%) 🔹 Risk-Reward Ratio: 1:2.6 ⚙️ Risk Management: Max Risk: 3% of total capital Leverage: 10x ✍️ Note: Entry will trigger after breaking the $38 level, indicating potential for a strong upward move. Adjust position size to stay within risk limits and manage potential losses effectively.
Long
by arzdigitalistha