Ethereum (ETHUSD) : Time to Position for Profits!Ethereum (ETH/USD) is currently positioned for a bullish breakout, and I am excited to share my analysis with fellow traders.
Bullish Sentiment and Technical Setup
The current price action shows ETH testing the $4,000 resistance level, which, if broken, could trigger a wave of FOMO buying, propelling prices towards $4,500 and beyond. With the Relative Strength Index (RSI) reflecting strong buying momentum, now is an opportune time to consider long positions.
I will be utilizing probabilities to strategically enter into long trades, focusing on support levels around $3,600 to $3,700 as potential entry points during any pullbacks.
Several fundamental factors are contributing to this bullish outlook:
Institutional Interest: Recent reports indicate that BlackRock has made a significant investment in Ethereum, purchasing over $230 million worth. This institutional backing is a strong signal of confidence in Ethereum’s future.
Market Dynamics: The overall cryptocurrency market is experiencing renewed interest as Bitcoin has surpassed the psychological barrier of $100,000. Historically, Ethereum tends to follow Bitcoin's lead, and this correlation suggests that ETH could also see substantial upward movement.
Technological Advancements: Ethereum's ongoing developments in DeFi and NFT sectors continue to attract users and investors alike. The upcoming upgrades and increased adoption are likely to bolster its price further.
In summary, the combination of technical indicators pointing towards a bullish trend and supportive fundamentals creates a compelling case for trading ETH/USD long.
As we navigate this exciting market landscape, I encourage fellow traders to stay vigilant and consider positioning themselves for potential gains in the coming weeks.
P.S. If you have any questions about how I trade probabilities with the overall market direction, feel free to reach out.
Let's capitalize on this momentum together!
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Multipletimeframeanalysis
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.
Join My Bullish EUR/GBP Journey!Hey Traders! Today, I'm excited to share my bullish trade idea on the EUR/GBP currency pair. As we navigate through the current market dynamics, I believe there are several key fundamentals supporting this upward bias.
Current Market Fundamentals
- Economic Indicators: The upcoming release of the Confederation of British Industry (CBI) retail sales data is anticipated to show positive trends, which could strengthen the GBP. A robust consumer spending report can create a favorable environment for the Euro to gain against the Pound.
- Market Sentiment: Recent bullish candlestick patterns on the H4 chart suggest a potential reversal in the EUR/GBP pair. The price is currently hovering near the middle Bollinger Band, indicating a possible breakout.
- Technical Setup: The pair is trading between the 23.6% and 38.2% Fibonacci retracement levels, suggesting consolidation with potential for upward movement. This technical setup aligns with my bullish sentiment.
Utilizing Probabilities for Positioning
In my trading strategy, I emphasize the importance of probabilities to make informed decisions. Here’s why:
- Statistical Edge: By analyzing historical price movements and current market conditions, I can identify patterns that have a higher likelihood of repeating. This statistical approach helps me gauge potential outcomes more effectively.
- Risk Management: Using probabilities allows me to set realistic targets and stop-loss levels, ensuring that I manage risk while maximizing potential gains. For instance, if historical data shows a 70% success rate for bullish movements after similar setups, I can confidently position myself for long trades.
- Adaptability: Markets are dynamic; therefore, employing a probabilistic mindset enables me to adapt my strategy based on real-time data and changing conditions. This flexibility is crucial in maintaining an edge in trading.
Conclusion
With a bullish bias on EUR/GBP backed by solid fundamentals and a robust technical setup, I am ready to position myself for long trades using probabilities as my guiding principle.
Let’s keep an eye on the upcoming economic data releases and market movements that could further validate this trade idea.
Feel free to share your thoughts or any questions you may have! Happy trading!
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P.S. If you have any questions about how I trade probabilities with the overall market direction, feel free to reach out.
LTCUSD: Strong Bullish Momentum with 68.87% Probability for TP1!I’m optimistic about Litecoin (LTCUSD) right now, and here are some compelling reasons to consider this trade:
- Market Recovery: The overall cryptocurrency market is bouncing back, with many coins, including Litecoin, showing positive price movements after recent dips.
- Growing Adoption: More people and businesses are starting to use cryptocurrencies for transactions, which could increase demand for Litecoin.
- Tech Improvements: Litecoin is undergoing updates that make it more efficient and user-friendly, attracting more interest.
- Positive Sentiment: Many analysts are optimistic about the future of cryptocurrencies, suggesting that prices could continue to rise.
To get positioned for long trades on LTCUSD, I rely on probabilities based on historical data in a mechanical trading system.
In short, my bullish outlook on LTCUSD is supported by strong market fundamentals, and by using probabilities from historical data, I aim to position myself effectively for potential long trades.
Please share your ideas and charts in the comments section below!
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USOIL: Bullish Fundamentals and 61.60% Probability for LongsKey Fundamentals
- Decreased OPEC Exports: Recent reports indicate a decline in crude oil exports from OPEC and Russia, tightening the market as refinery runs ramp up for seasonal demand. This reduction in supply is likely to exert upward pressure on prices2.
- Geopolitical Tensions: Ongoing geopolitical risks, particularly in the Middle East and Ukraine, continue to add a risk premium to oil prices. Traders are increasingly factoring these uncertainties into their market strategies2.
- Rising Demand: With the U.S. economy showing signs of recovery and better-than-expected market fundamentals, demand for oil is anticipated to rise, further supporting higher prices12.
- Technical Indicators: Current market sentiment shows USOIL trading above its pivot point of $74.80, with support levels around $74.00. The Relative Strength Index (RSI) is at 56.16, indicating a healthy trend without being overbought1.
I'm employing a probability-based strategy to position myself for long trades in USOIL.
By incorporating these fundamentals and probability analysis into my trading approach, I aim to leverage the current bullish sentiment in USOIL effectively.
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Using Probability to Guide My Long Positions on NZDUSDThe NZDUSD pair is showing bullish potential due to several key factors.
Recent US inflation data came in softer than expected, which could lead to a more dovish stance from the Federal Reserve.
Additionally, the Fed's recent interest rate cut is likely to weaken the US dollar, benefiting the New Zealand dollar.
These factors, combined with NZDUSD's positive momentum over the past week and month, support a bullish outlook for the pair.
To capitalize on this potential, I'm using probability-based analysis to enter long positions. By focusing on high-probability setups, I aim to achieve more consistent results over time.
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I’d love to hear your thoughts on the NZDUSD outlook and my trading strategy. Please share your insights or questions in the comments below!
Exploring the Bullish Outlook for Litecoin (LTCUSD)Litecoin (LTC/USD) is showing a bullish trend, supported by several key fundamentals.
The cryptocurrency market is experiencing renewed interest, with Litecoin benefiting from its reputation as "digital silver" alongside Bitcoin's "digital gold" status.
Litecoin's upcoming halving event, expected in August 2023, is generating excitement as it typically leads to increased scarcity and potential price appreciation.
Additionally, Litecoin's growing adoption in real-world transactions and its recent integration into various payment platforms are contributing to its positive outlook. The overall crypto market sentiment is improving, with institutional investors showing increased interest in alternative cryptocurrencies like Litecoin.
I'm utilizing probabilities on my charts to get positioned into longs for Litecoin.
Now, let's take a closer look at my analysis.
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Feel free to share your thoughts and ideas in the comments below!
XAGUSD: A Bullish Perspective and Top-Down AnalysisSilver (XAG/USD) is showing a bullish trend, supported by several key fundamentals. The ongoing global economic uncertainty and geopolitical tensions are driving investors towards safe-haven assets like silver.
Additionally, the increasing industrial demand for silver, particularly in the renewable energy sector and electronics industry, is contributing to its positive outlook. The weakening US dollar is also playing a role in boosting silver prices, as the precious metal becomes more attractive to international buyers.
I'm utilizing probabilities on my charts to get positioned into longs for Silver.
Let’s get into the details of my analysis.
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USOIL : Why a 56.53% Probability Signals a Strong Bullish Move!The current global landscape presents several factors supporting a bullish bias for USOIL:
Geopolitical Tensions: Ongoing conflicts in the Middle East continue to create supply uncertainties, potentially driving prices higher.
Economic Recovery: As major economies show signs of improvement, demand for oil is expected to increase, putting upward pressure on prices.
OPEC+ Production Cuts: Recent decisions by major oil-producing countries to limit output could lead to tighter supply conditions.
Leveraging Probabilities for Strategic Positioning
I'm utilizing probabilistic analysis on my charts to get positioned into longs. Here's why this approach is valuable:
1. Risk Management: By assessing probabilities, I can better gauge potential outcomes and adjust my position sizes accordingly.
2. Identifying High-Probability Setups: Probability-based analysis helps pinpoint trade entries with higher chances of success.
3. Emotional Control: Using probabilities provides a more objective framework, reducing the impact of emotions on trading decisions.
4. Adapting to Market Conditions: Probabilistic thinking allows for flexibility in strategy as market conditions evolve.
By combining fundamental analysis with a probability-based approach to technical analysis, I aim to capitalize on the bullish potential in USOIL.
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Top-5 tips for Top-Down Multiple Time Frame Analysis Trading
I am trading multiple time frame analysis for many years. After reviewing trading ideas from various traders on Tradingview, I noticed that many traders are applying that incorrectly
In this article, I will share with you 5 essential tips , that will help you improve your multiple time frame analysis and top-down trading.
The Order of Analysis Matters
Multiple time frame analysis is also called top-down analysis for a reason. When you trade with that, you should strictly start your analysis with higher time frames and then dive lower, investigating shorter-term time frames.
Unfortunately, most of the traders do the opposite. They start from a lower time frame and finish on a higher one.
Above are 3 time frames of EURGBP pair: daily, 4h, 1h.
To execute multiple time frames analysis properly, start with a daily, then check a 4h and only then the hourly time frame.
Limit the Number of Time Frames
Executing multiple time frame analysis, many traders analyse a lot of time frames.
They may start from a weekly and finish on 5 minute time frame, going through 5-8 time frames.
Remember that is it completely wrong. For execution of a multiple time frame analysis, it is more than enough to analyse 3 or even 2 time frames. Adding more time frames will overwhelm your analysis and make it too complex.
Analyse Particular Time Frames
Your multiple time frame analysis should be consistent and rule-based. It means that you should strictly define the time frames that you analyse.
For example, for day trading, my main trading time frames are daily, 4h, 1h. I consistently analyse ONLY these trading time frames and I look for day trades only analysing this combination of time frames.
Higher is the time frame, stronger the signal in provides
Trading with multiple time frame analysis, very often you will encounter controversial signals: you may see a very bullish pattern on a daily and a very bearish confirmation on 30 minutes time frame.
Always remember that the higher time frames confirmations are always stronger, and their accuracy is probability is always higher.
Above there are 2 patterns:
a head and shoulders pattern on a daily time frame with a confirmed neckline breakout, and an inverted head and shoulders pattern on a 4h time frame with a confirmed neckline breakout.
2 patterns give 2 controversial signals:
the pattern on a daily is very bullish and the pattern on a 4h is very bearish.
The signal on a daily time frame will be always stronger ,
so it is reasonable to be on a bearish side here.
You can see that the price dropped after a retest of a neckline of a head and shoulders on a daily, completely neglecting a bullish pattern on a 4H.
Each Time Frame Should Have Its Purpose
You should analyse any particular time frame for a reason.
You should know exactly what you are looking for there and what is the purpose of your analysis.
For example, for day trading, I analyse 3 time frames.
On a daily, I analyse the market trend and key levels.
On a 4H time frame, I analyse candlesticks.
On an hourly time frame, I look for a price action pattern as a confirmation.
On GBPAUD on a daily, I see a test of a key horizontal resistance.
On a 4H time frame, the price formed a doji candle.
On an hourly, I spotted a double top, giving me a bearish confirmation.
These trading tips will increase the accuracy of your multiple time frame analysis. Study them carefully and adopt them in your trading.
❤️Please, support my work with like, thank you!❤️
EOY Review $HAL messy....inside yearNSE:HAL
2 UP on the quarter but not strong enough to close above Q3 high
inside year = no clear direction
messy 3M chart = neutral and a need to wait for more clues
oil & energy (related) names not the strongest this year, which could mean (more) potential upwards, but need to see price confirm that suggestion first
EOY Review $GOOG strong year heading into exhaustion levelNASDAQ:GOOG
Magnificent 7 did great this year, GOOG included
strong close, 4 green quarters in a row
exhaustion risk -for what it's worth- around that 152 level
will be interesting to see how this level (and similar levels for the other big 6) will play any role in what the big guys/institutes will do here
let's watch and see, anything can happen, incl. big tech (check out '22)
EOY Review $DOW how to make 0,11 $ in 4 years....NYSE:DOW a great example why long term investing doesn't always beat shorter term speculating/trading
current price at same level as EOY '19....
closed the 2 down quarter green, above the low of previous quarter = positive
inside year = no clear direction, until market gives us new clues = neutral
anything can happen
EOY Review $DIS first baby steps back up The good thing about NYSE:DIS is the outside quarter
but, it couldn't close above that Q3 high, so still not that strong of a look
given it took out the low of '22 and closed above it, this could mean we've seen the worst
overall, if the 3 on the quarter might see some continuation upwards, I see this just as the first baby steps of what could be a nice run back up
so, first things first, let's see a close above the Q4 high first and than see what's next
anything can happen
EOY Review $BAC outside quarter, looks promising Financials did well in Q4
NYSE:BAC with a bright green 3 on the quarter
hammer on the year, with lot of upside potential
notice that other financials e.g. JPM ended the year at/above previous highs
meaning BAC wasn't the strongest of them
but, also could mean more upside potential
let' see how it plays out in '24
no predictions, price and time will tell
anything can happen....
EOY Review $BABA mother bar problems on the year.... Inside year, see how BABA got stuck in between the high and low of 2022
going nowhere, you can hear Rob say....
bearish shooter look on this yearly red inside bar
ugly
sure, it might get taken back up, but let's start with a reversal quarter first and we'll go from there
taking out the low of '22 seems more likely at this point
let's see, no predictions
EOY Review $AMZN still some pivots to take out upsideNASDAQ:AMZN another bright green candle on the year
it did take out the low of previous year in Q1 by a bit
so, strat wise it's a 2 down on the year, obviously bright green
is it extended? maybe.....
but, the good thing for those with a bullish bias, still 2 previous yearly highs to take out
how strong will AMZN be in 2024? Let's see
EOY review $AMD explosive move up, still inside year NASDAQ:AMD what a move, bright green year, but still inside year
outside quarter, inside year
extended? maybe, who knows, but....
always room for a further move up, especially given the highs of '22 and '21
both, not taken out yet....
let's see how semi conductors will move from here, in the A.I. era
EOY review $AAPL big mamaAAPL outside quarter and outside year
exhaustion risk, with a little nuance
see how it did take out the Q3 highs, but couldn't close above it (although bright green)
one of the good things about zooming out to the higher timeframes, is that another (massive) move up can occur
also known as a 3-2 to the upside
let's see what happens, keeping an aye on it for sure
BTC Update Sunday EditionIt is what it is. More boring Price action, they sell to target and we go up. There is nothing hard to understand about this.
If that is difficult for you to understand, then good. Watch the video and listen. I make 18-20 minute videos regularly not to say what I think is going to happen, but to EXPLAIN why I think it will happen and how I analyze.
I may have looked at DXY wrong in assuming that there is control over where it can actually start the new week. It seems that there is no influence to where it starts from past history. (I need to triple check though.
So assuming that I still think the DXY will be bullish on open, but most likely reject at 103.188.
I suspect we open at 102.6, drop to 102.25 and then go to 103.188 and reject. Starting the next week under 102.25 and sending the dollar towards 100 buckerinos. I pray for no overselling that turns the dollar into the reversal it started in late July.
BTCUSD Ready to exit this big diamondBTCUSD reached further the supply area in overbought condition. A potential decrease of 7% can occur if the price action interact with the anchored VWAP from ATH. This potential movement can ignite an impulsive 5-wave bearish exiting of this big diamond pattern, which is likely complete.
Fisher Transform suggests the direction of the price action in 2H and 1D timeframes. Overbought condition on macro scenario, in which the price seems to be form a top, ready to a swing downward to complete a 5th wave of a expanded ending diagonal, likely to finish the actual bearmarket.