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All About the Head & Shoulders Pattern(Beginner-Friendly) Part.2Hello, everyone.
Today, I’m excited to share the second part of my educational series on chart patterns.
In this post, we’ll be focusing on the 'Head and Shoulders' and 'Inverse Head and Shoulders' patterns.
For those who missed the first part, you can catch up here:
↓↓↓
As always, I’ve kept the explanations simple and beginner-friendly. I hope this guide provides you with valuable insights!
Here’s today’s outline:
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✔️ Outline
1. What is the Head and Shoulders pattern?
Definition
Key components
Characteristics
2. Head and Shoulders
Basic features
Examples
3. Inverse Head and Shoulders
Basic features
Examples
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1. What is the "Head and Shoulders" pattern?
1) Definition
The Head and Shoulders pattern is a well-established reversal formation that appears after an uptrend and signals the potential start of a downtrend. It indicates that buying pressure is weakening and selling pressure is gaining momentum.
2) Key components
Left Shoulder: The initial peak, where the price rises and then pulls back.
Head : The highest peak, situated between the two shoulders, representing the final bullish push.
Right Shoulder: The third peak, which is typically lower than the head but similar to the left shoulder, signaling diminishing buying interest.
Neckline: A key support line drawn across the lows of the left and right shoulders. A decisive break below this neckline confirms the reversal and the beginning of a downtrend.
3) Characteristics
Reversal signal: The Head and Shoulders pattern marks a transition from an uptrend to a downtrend.
Easy identification: The structure is visually distinctive, with three clear peaks.
Neckline significance: A break below the neckline serves as a confirmation signal for the downtrend.
Volume dynamics: Volume typically rises during the formation of the left shoulder and head, decreases during the right shoulder, and surges again when the neckline is breached.
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2. Head and Shoulders (Reversal from uptrend to downtrend)
1) Basic features
End of an uptrend: The Head and Shoulders pattern forms at the end of a bullish phase, signaling a weakening in buying strength.
Distinct peak heights: The head is always higher than the shoulders, which are generally symmetrical, though the right shoulder may sometimes be slightly lower, enhancing the pattern’s reliability.
Neckline as a trigger: The neckline acts as a critical support level. A break below it confirms the pattern and signals the onset of a bearish trend.
Volume confirmation: Volume increases during the left shoulder and head formations, weakens during the right shoulder, and spikes when the neckline is broken, confirming a potential sell-off.
Price target: After the pattern completes, the expected price drop is typically equal to the distance between the head and the neckline, providing traders with a target.
2-1) Example 1
In this example, we see a fakeout at the right shoulder, followed by a sharp decline.
After a brief retest of the neckline, the price broke through and continued its downtrend.
2-2) Example 2
In this chart, a fakeout occurred when the price dropped from the head and formed the neckline, misleading many market participants. After forming the right shoulder, the price successfully declined. There were two retests, which confirmed the reliability of the pattern.
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3. Reverse Head and Shoulders (Trend reversal from downtrend to uptrend)
1) Basic features
End of a downtrend: The Inverse Head and Shoulders pattern typically forms at the end of a downtrend, signaling a potential reversal to the upside.
Formation of lows: Like the standard Head and Shoulders, this pattern consists of three lows—left shoulder, head, and right shoulder—with the head being the lowest point.
Neckline significance: The neckline is drawn across the highs of the left and right shoulders. A break above this line confirms the reversal and acts as a strong buy signal.
Volume pattern: Volume tends to decrease during the formation of the pattern but surges when the neckline is broken, signaling strong buying momentum.
Target setting: After the pattern is confirmed, the expected price rise is often equal to the distance from the head to the neckline, which helps traders set profit targets.
2-1) Example 1
After the Head and Shoulders pattern formed, the price broke above the neckline, successfully reversing the downtrend into an uptrend. A buy strategy would have yielded profits at the breakout point.
2-2) Example 2
In this example, a smaller Reverse Head and Shoulders pattern formed within the head of a larger pattern (see Example 3). After two successful retests, the price reversed into a strong uptrend.
2-3) Example 3
This example showcases the smaller Reverse Head and Shoulders pattern mentioned in Example 2, located within the head. After two successful retests, a buy strategy could have led to profits as the price reversed into an uptrend.
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✔️ Conclusion
"Charts are the maps of the market."
The Head and Shoulders and Reverse Head and Shoulders patterns we’ve covered in this post are key signals that frequently appear in the market. Charts aren’t random—they are visual representations of market psychology and investor behavior. As traders, our role is to interpret these maps, navigate the market, and make informed decisions.
Investing is more than just buying and selling. Sometimes the market may move contrary to our expectations, while other times we seize opportunities and achieve success. Each experience is a chance to learn and grow. The more experience you gain, the more paths you’ll recognize on the chart.
Success in this market requires persistence, patience, and continuous learning. Understanding and analyzing chart patterns like the ones discussed here is just the beginning. I hope this post has helped you gain a deeper understanding of the market and make more informed decisions.
The market is always evolving, but within that evolution lies opportunity. The key is developing the ability to spot those opportunities. With knowledge, experience, and confidence, you’ll find greater success.
Stay prepared, and always listen to what the market is telling you.
Unlock the 10 Core Lessons Every Trader Needs for SuccessYou know that feeling when you stare at the charts, convinced you’re about to strike gold, only for the trade to go so wrong, you wonder if the market gods have a personal vendetta against you? Yeah, we’ve all been there.
But here’s the thing—it's not the market that's out to get you. It’s you.
Let’s cut to the chase: trading success isn’t just about mastering candlestick patterns or finding the perfect strategy. It’s about mastering yourself. So, I’m laying out the 10 core lessons that can stop you from sabotaging your trades—and maybe even save you from throwing your laptop out the window.
1. Emotional Self-Control (AKA Don’t Be Your Own Worst Enemy)
Ever taken a trade out of sheer frustration or FOMO? Spoiler alert: that’s your emotions talking, and they rarely have your back. Mastering emotional self-control is like giving yourself a built-in cheat code. Stay calm, stay cool, and you’ll stay profitable.
Quick task: Next time you feel emotions kicking in, take a 5-minute break before making any trade decisions. Walk away, breathe, then come back with a clear head.
2. Every Trade is a Lesson (Yes, Even the Ugly Ones)
Think that losing trade was a total waste of time? Wrong. Every trade, good or bad, is packed with insights. The market is your professor—start taking notes. You’ll find out where you’re tripping up, and trust me, you’ll trip less.
Quick task: Start a trade journal. Write down not just the outcome of each trade, but your emotions and reasoning at the time. Review it weekly to spot patterns.
3. Mindset is Everything (Cue the Zen Music)
You’ve probably heard it before, but it's worth repeating: mindset is everything. If you’re not thinking straight, your trades won’t be either. A positive mindset keeps you focused, even when the market is doing its best to mess with you.
Quick task: Before your next trading session, spend 5 minutes visualizing success. Remind yourself why you’re trading and what you’re working toward. This will keep your mindset sharp.
4. Have a Plan (Because Winging It Doesn’t Work Here)
If you’re going into trades without a solid game plan, you’re basically showing up to a knife fight with a spoon. Every trade should have a strategy, clear entry/exit points, and a reason behind it. Stop winging it—you’re better than that.
Quick task: Create a simple pre-trade checklist. Include things like entry/exit strategy, risk level, and reasons for entering the trade. Stick to it religiously.
5. Adapt or Get Left Behind (The Market Isn’t Waiting for You)
The market changes faster than your favorite Netflix series gets canceled. What worked yesterday may not work tomorrow. Be flexible, keep learning, and adapt. Otherwise, you’re going to be the guy stuck using strategies from 2010 in 2024.
Quick task: Spend 10 minutes a day researching a new trading strategy or tool. Even if you don’t use it right away, expanding your knowledge keeps you adaptable.
6. Patience Pays (And Impatience Costs You Big Time)
There’s no bigger account killer than impatience. Jumping in too early, exiting too late, chasing trades—it’s a recipe for disaster. Sometimes, the best move is to wait. Trust me, patience in trading is like waiting for that perfect slice of pizza—totally worth it.
Quick task: Set up alerts for your key setups instead of staring at the screen, waiting for something to happen. This forces you to only trade when your setup is there, not when you’re bored.
7. Risk Management is Non-Negotiable (No, Seriously)
If you don’t manage your risk, you’re playing with fire—and we all know how that ends. Set stop-losses, size your positions properly, and don’t gamble your entire account on a “gut feeling.” It’s not about how much you win, it’s about how little you lose.
Quick task: Review your last 10 trades and check how well you stuck to your risk management rules. If you didn't, figure out why and correct it for the next trade.
8. Never Stop Learning (The Market Has Zero Chill)
The market is constantly evolving, and if you think you’ve got it all figured out, the market is ready to humble you real quick. Stay curious, keep learning, and don’t let complacency be the reason you get left in the dust.
Quick task: Dedicate 30 minutes a week to learning something new—whether it’s a new strategy, a new tool, or just reading up on market trends. Never stop sharpening the saw.
9. Balance Emotions with Logic (It’s Like a Jedi Mind Trick)
This is where it gets tricky. You can’t trade on pure logic, but trading on pure emotion is just as dangerous. You need to find the sweet spot—where you can recognize your emotions, but let logic steer the ship. It’s like becoming a Jedi of your own trading.
Quick task: Before you enter your next trade, ask yourself one question: “Is this based on emotion or strategy?” If it’s emotion, step back until you’re thinking clearly.
10. Focus on the Process, Not Just the Profits (Money is a Byproduct)
Everyone wants to make money, but here’s the secret: focus on nailing your process. The profits will come as a result. If you’re constantly thinking about the money, you’re missing the point. Perfect your process, and let the money follow.
Quick task: Pick one area of your trading process to improve—whether it’s your analysis, your entry strategy, or your risk management—and focus solely on that for the next week. Master the process, the profits will follow.
Master these 10 lessons, and you’ll find yourself trading with more confidence, discipline, and success. Trading is as much a mental game as it is a technical one, and by focusing on these principles, you’re setting yourself up for long-term wins.
Now, which of these lessons do you need to focus on in your own trading journey? Let me know below :)
Simple Portfolio Management StrategiesSimple Portfolio Management Strategies
In financial market systems, where complexity often obscures the path to effective trading and investing, there can still be clarity and certainty based on the use of simple portfolio management strategies. In this FXOpen article, you will learn about portfolio meaning in investment and how to manage it.
Investment Portfolio: Fundamentals
When talking about portfolio management, the investment portfolio definition often comes to mind. However, portfolio management can be an effective technique not only for investors but also for medium- and long-term traders.
The traditional definition states that an investment portfolio is a carefully selected collection of assets, such as stocks, bonds, indices, commodities, real estate and more, owned by an individual. This collection is not just a random assortment — it is selected strategically with the aim of achieving specific financial goals while managing risks.
An investment portfolio is not static. It responds to market conditions, economic shifts, and personal goals. Therefore, it’s vital to have various portfolio management strategies in place to adapt to market conditions.
Although traders don’t own the assets they trade, if they hold positions for days, weeks, or even months, they can also implement the following strategies.
In trading and investing, complexity can be a hidden adversary. Overly intricate portfolio management strategies typically lead to confusion and missed opportunities. Yet, simplicity brings clarity. Having a clear path for making well-informed decisions helps reduce stress and improve your performance.
And there is a great benefit in simple strategies. Clear and easy-to-follow investment portfolio management strategies empower investors to navigate this fast-paced realm with confidence.
The Concept of Equal Weight Allocation
Equal weight allocation means dividing your investments equally among the different assets in your portfolio. This is made to sidestep the trap of putting all your eggs in one basket. This strategy minimises the impact of any single asset’s performance on your overall portfolio.
Advantages
Equal weight allocation offers a panoramic view of the market. Distributing your investments helps you gain exposure to diverse assets, reducing vulnerability to market swings. It’s a balanced approach.
Considerations
Equal weight allocation doesn’t consider individual asset performance or risk. This means that the loss in one asset may exceed the income from another, but for traders who value a straightforward path, this option works.
The Main Ways to Diversify
Think of diversification as your safety net. This strategy involves spreading your investments across various assets, making your portfolio resilient to turbulence. If one falters, others pick up the slack, minimising the potential losses.
Modern Portfolio Theory (MPT)
MPT is one of the approaches to diversification. It’s like assembling the perfect puzzle, optimising your portfolio based on your risk tolerance and the desired return. The theory suggests that investors are risk-averse, so the main task is to boost profits with minimal risks. This approach makes your fund allocation harmonious.
Sector and Industry Diversification
There is an opinion that the diversification of sectors and industries is a fine art, but you can definitely learn it if you read a lot and track market changes. By allocating your investments to sectors that work differently in various conditions, you further reduce the risk.
For example, you can consider the combination of the technology industry with healthcare or oil and gas companies with the agro-industry. One of the ideas is to choose those assets that act as counterweights.
Advantages
Spreading investments across different asset classes minimises the impact of a poor-performing asset. This helps to stabilise the portfolio during market fluctuations. Diversification allows exposure to multiple sectors, industries, and regions, increasing the chances of benefiting from emerging trends.
Considerations
Holding too many assets can lead to increased complexity in portfolio management. Managing a portfolio requires regular monitoring and adjustments. Also, it’s vital to know how to choose assets that are negatively correlated, as if assets are positively correlated, they will move in a similar direction even when your price predictions are incorrect.
On our TickTrader platform, you’ll find multiple instruments that help our clients analyse market trends and diversify correctly. Trading several markets on one single platform is simple and convenient.
The Dollar Cost Averaging (DCA) Strategy
Dollar-cost averaging means investing a certain amount regularly, regardless of market ups and downs. The strategy involves reducing the impact of volatility by dividing the entire amount of investments into parts that are invested according to a predetermined schedule. This is a reasonable step aimed at mitigating the effects of market volatility.
Advantages
DCA turns market fluctuations into its ally, allowing you to accumulate more when prices are low and less when they are high. The strategy provides psychological relief from consistent investment.
Considerations
DCA might miss out on rapid market upswings, but by and large, this is a strategy of balance and moderation, mitigating the effects of market volatility.
Portfolio Rebalancing
Portfolio rebalancing is the practice of adjusting your portfolio back to its original allocation. Think of your investment portfolio as a garden. Just as plants grow at different rates, the assets in your portfolio can change over time. Rebalancing a portfolio is like tending your garden, making sure that no one plant overwhelms the others.
It’s a strategic process of changing your investments to maintain the desired mix of assets. In real life, it would look like this: Suppose you set a goal to have 60% stocks and 40% indices in your portfolio. If the number of stocks rises to 70% due to market trends, rebalancing will bring them back to 60%, and you can reinvest them in indices.
In a trading portfolio, you can set precise targets for risky and risk-averse assets, control the number of positions in both groups and rebalance depending on the market conditions.
Why Rebalance?
Market fluctuations can upset the balance of your portfolio. Rebalancing prevents one asset from dominating and helps to manage risks. This brings your portfolio in line with your goals and risk tolerance.
The easiest way to restore balance is to set regular intervals. You adjust your investments according to your original plan. This ensures that your portfolio stays the same without overly complicating the situation. When buying and selling, keep in mind the potential costs and taxes. Rebalancing should not outweigh the benefits.
Advantages
Rebalancing ensures that your portfolio stays in line with your initial asset allocation, preventing it from drifting due to market changes. It also helps prevent the portfolio from becoming overly concentrated in a single asset class.
Considerations
Deciding when and how often to rebalance can be challenging, as overreacting to short-term market movements may hinder long-term performance. Additionally, frequent rebalancing can lead to increased trading costs.
Final Thoughts
With portfolio management techniques, traders learn to use different strategies and diversify their portfolios. And here, simple methods underpin sound decision-making. Traders choose strategies that suit their goals, styles, and risk tolerance. You can open an FXOpen account to start your journey. As you use the power of simplicity, you will be ready to master portfolio management and improve your trading.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
Master Trading with Heiken Ashi Candles in 11.32 minutes Let’s talk about how to DOMINATE the market using Heiken Ashi candles for perfect entries and exits! This is where your trading game levels up.
First, when those candles start turning smooth and green with no wicks at the bottom, that's your entry signal! It’s like the market saying, "Hop on, this train is about to take off!" You ride those green candles as long as they stay strong and wick-free at the bottom.
Now, here’s the key – watch for red candles starting to form with wicks on top! That’s your signal to EXIT! Don’t get greedy, secure those gains, and get out before the market turns against you.
With Heiken Ashi, you get smoother trends, cleaner signals, and better trades! Enter with confidence, exit with precision, and OWN the market!
That's it, fast and powerful! Now go crush those trades!
Calm in the Chaos: Handling Panic During Trading ChallengesPanic can manifest in trading when unexpected events occur, such as sudden news announcements or price reversals. During these moments, traders are often prone to making impulsive decisions, such as adjusting stop-loss orders, prematurely closing trades at a loss, or holding onto losing positions for too long. This kind of panic can severely impact one’s emotional and psychological well-being. While external factors can provoke these feelings, it is crucial for traders to learn how to manage their emotional responses.
📍 Strategies for Managing Panic in Trading
Although the following tips may seem obvious, they are frequently overlooked, particularly during moments of panic. Acknowledging their importance can help traders regain composure and make rational decisions.
1. Deep Breathing Techniques
Begin by taking a deep breath in through your nose, counting slowly to four. Hold your breath for a few seconds, then exhale slowly through your mouth while counting to four. Repeat this process several times until your breathing becomes more even and calm. By focusing on your breath, you can help your nervous system relax, allowing you space to regain clarity.
2. Distraction
Engaging in an alternate activity that requires concentration can be beneficial. Puzzles, reading, or even listening to calming music or nature sounds can divert your attention from the stressful situation at hand. Joining online forums for discussion can also serve as a useful escape, allowing you to clear your mind and gain perspective.
3. Rational Analysis
Take a moment to evaluate the situation by asking questions such as: “What specifically is causing my panic?” and “What are the real risks involved?” It may turn out that the circumstances aren't as dire as they appear. Create a list of potential solutions and their implications, providing a clearer view of your options. Writing down pros and cons can further aid in rationalizing your thoughts.
4. Set Realistic Goals
Establish clear and achievable objectives for each trading session. Avoid setting expectations for unrealistically high profits in a short timeframe. Recognize that losses are an inherent part of trading; anticipating them can make dealing with panic more manageable.
5. Incorporate Relaxation Techniques
Regular meditation, yoga, or stretching exercises can help alleviate physical tension and improve emotional control. Techniques such as aromatherapy or taking warm baths can also promote relaxation. For those experiencing chronic tension, these practices may offer lasting relief from panic attacks.
6. Cultivate Positive Thinking
Shift your mindset by replacing negative thoughts with affirmations. Instead of telling yourself, “I will lose everything,” reinforce the belief that “I can control my risks.” Recall past instances where you successfully managed stressful situations and celebrate small victories in your trading journey. Building self-esteem based on real accomplishments is essential, as both inflated and diminished self-worth can hinder decision-making.
7. Limit Exposure to News and Social Media
During periods of market panic, news and social media can be rife with negative information, exacerbating your anxiety. Consider avoiding these sources until you regain your composure.
8. Understand You're Not Alone
It's important to remember that all traders experience panic from time to time—it's a normal part of the trading landscape. Acknowledging this reality can help prevent panic from obstructing your capacity to make informed decisions.
📍 Conclusion
Maintaining composure in the face of panic is critical for effective trading. While it may feel easier to take no action during such times, doing so can adversely affect your mental health. Developing strategies to manage your emotions is essential not only for your trading success but also for your overall well-being. By practicing these techniques, traders can learn to navigate the high-stakes world of trading with greater confidence and resilience.
Traders, If you liked this educational post🎓, give it a boost 🚀 and drop a comment 📣
Thesis Generation for mutitimeframe SB Style Trading explainedIn this video, I guide you through the complete process of generating a trading thesis and selecting pairs for my shortlist. We'll begin with a theoretical explanation and then apply it to today's NAS situation. My analysis incorporates the Stacey Burke trading style alongside a mechanical multi-timeframe bias analysis. A consistent and clear analysis process, repeated daily, is crucial for continuous improvement. I hope you find this helpful!
Why Large Language Models Struggle with Financial Analysis.Large language models revolutionized areas where text generation, analysis, and interpretation were applied. They perform fabulously with volumes of textual data by drawing logical and interesting inferences from such data. But it is precisely when these models are tasked with the analysis of numerical, or any other, more-complex mathematical relationships that are inevitable in the world of financial analysis that obvious limitations start to appear.
Let's break it down in simpler terms.
Problem in Math and Numerical Data Now, imagine a very complicated mathematical formula, with hundreds of variables involved. All ChatGPT would actually do, if you asked it to solve this, is not really a calculation in the truest sense; it would be an educated guess based on the patterns it learned from training.
That could be used to predict, for example, after reading through several thousand symbols, that the most probable digit after the equals sign is 4, based on statistical probability, but not because there's a good deal of serious mathematical reason for it. This, in short, is a consequence of the fact indicated above, namely that LLMs are created to predict patterns in a language rather than solve equations or carry out logical reasoning through problems. To put it better, consider the difference between an English major and a math major: the English major can read and understand text very well, but if you hand him a complicated derivative problem, he's likely to make an educated guess and check it with a numerical solver, rather than actually solve it step by step.
That is precisely how ChatGPT and similar models tackle a math problem. They just haven't had the underlying training in how to reason through numbers in the way a mathematics major would do.
Financial Analysis and Applying It
Okay, so why does this matter for financial analysis? Suppose you were engaging in some financial analytics on the performance of a stock based on two major data sets: 1) a corpus of tweets about the company and 2) movements of the stock. ChatGPT would be great at doing some sentiment analysis on tweets.
This is able to scan through thousands of tweets and provide a sentiment score, telling if the public opinion about the company is positive, negative, or neutral. Since text understanding is one of the major functionalities of LLMs, it is possible to effectively conduct the latter task.
It gets a bit more challenging when you want it to take a decision based on numerical data. For example, you might ask, "Given the above sentiment scores across tweets and additional data on stock prices, should I buy or sell the stock at this point in time?" It's for this that ChatGPT lets you down. Interpreting raw numbers in the form of something like price data or sentiment score correlations just isn't what LLMs were originally built for.
In this case, ChatGPT will not be able to judge the estimation of relationship between the sentiment scores and prices. If it guesses, the answer could just be entirely random. Such unreliable prediction would be not only of no help but actually dangerous, given that in financial markets, real monetary decisions might be based on the data decisions.
Why Causation and Correlation are Problematic for LLMs More than a math problem, a lot of financial analysis is really trying to figure out which way the correlation runs—between one set of data and another. Say, for example, market sentiment vs. stock prices. But then again, if A and B move together, that does not automatically mean that A causes B to do so because correlation is not causation. Determination of causality requires orders of logical reasoning that LLMs are absolutely incapable of.
One recent paper asked whether LLMs can separate causation from correlation. The researchers developed a data set of 400,000 samples and injected known causal relationships to it. They also tested 17 other pre-trained language models, including ChatGPT, on whether it can be told to determine what is cause and what is effect. The results were shocking: the LLMs performed close to random in their ability to infer causation, meaning they often couldn't distinguish mere correlation from true cause-and-effect relationships. Translated back into our example with the stock market, one might see much more clearly why that would be a problem. If sentiment towards a stock is bullish and the price of a stock does go up, LLM simply wouldn't understand what the two things have to do with each other—let alone if it knew a stock was going to continue to go up. The model may as well say "sell the stock" as give a better answer than flipping a coin would provide.
Will Fine-Tuning Be the Answer
Fine-tuning might be a one-time way out. It will let the model be better at handling such datasets through retraining on the given data. The fine-tuned model for sentiment analysis of textual stock prices should, in fact, be made to pick up the trend between those latter two features.
However, there's a catch.
While this is also supported by the same research, this capability is refined to support only similar operating data on which the models train. The immediate effect of the model on completely new data, which involves sentiment sources or new market conditions, will always put its performance down.
In other words, even fine-tuned models are not generalizable; thus, they can work with data which they have already seen, but they cannot adapt to new or evolving datasets.
Plug-ins and External Tools: One Potential Answer Integration of such systems with domain-specific tooling is one way to overcome this weakness. This is quite akin to the way that ChatGPT now integrates Wolfram Alpha for maths problems. Since ChatGPT is incapable of solving a math problem, it sends the problem further to Wolfram Alpha—a system set up and put in place exclusively for complex calculations—and then relays the answer back to them.
The exact same approach could be replicated in the case of financial analysis: Once the LLM realizes it's working with numerical data or that it has had to infer causality, then work on the general problem can be outsourced to those prepared models or algorithms that have been developed for those particular tasks. Once these analyses are done, the LLM will be able to synthesize and lastly provide an enhanced recommendation or insight. Such a hybrid approach of combining LLMs with specialized analytical tools holds the key to better performance in financial decision-making contexts. What does that mean for a financial analyst and a trader? Thus, if you plan to use ChatGPT or other LLMs in your financial flow of analysis, such limitations shall not be left unattended. Powerful the models may be for sentiment analysis, news analysis, or any type of textual data analysis, numerical analysis should not be relayed on by such models, nor correlational or causality inference-at least not without additional tools or techniques. If you want to do quantitative analysis using LLMs or trading strategies, be prepared to carry out a lot of fine-tuning and many integrations of third-party tools that will surely be able to process numerical data and more sophisticated logical reasoning. That said, one of the most exciting challenges for the future is perhaps that as research continues to sharpen their capability with numbers, causality, and correlation, the ability to use LLMs robustly within financial analysis may improve.
All About the Flag Pattern (Beginner-Friendly)Hello everyone,
Today, I’ve prepared an educational guide on chart patterns, specifically focusing on the Flag Pattern.
This content is designed to be easy for beginners to follow, so I hope you find it engaging and informative. :)
Below is the outline I’ll be using for this post:
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✔️ Outline
1. What is a Flag Pattern?
Definition
Key Components
Characteristics
2. Bullish Flag Pattern
Basic Characteristics
Examples
3. Bearish Flag Pattern
Basic Characteristics
Examples
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1. What is a Flag Pattern?
1) Definition
A Flag Pattern forms during a brief consolidation phase after a strong price movement, often signaling the continuation of a trend. It typically appears when prices make a sharp move, either up or down, followed by a period of sideways or slightly counter-trend movement.
Flag Patterns can occur in both uptrends and downtrends, named for their resemblance to an actual flag. After a strong price move, the market consolidates briefly before continuing in the original trend direction.
2) Key Components
Flagpole: The initial strong price movement that sets the overall trend direction before the consolidation phase.
Flag: The consolidation period where prices move sideways or slightly counter to the trend, often forming a rectangle or parallelogram. This phase typically occurs with a decrease in trading volume.
Breakout: The moment when the price resumes its original trend direction. In an uptrend, this is an upward breakout, and in a downtrend, a downward breakout, confirming the continuation of the trend.
3) Characteristics
Duration: The Flag Pattern typically lasts longer than the Flagpole but varies depending on the timeframe.
Volume: Volume usually decreases during the Flag’s formation and increases once the breakout occurs.
Reliability: The Flag Pattern is considered a reliable indicator of trend continuation, making it a favorite among traders using trend-based strategies.
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2. Bullish Flag Pattern
1) Basic Characteristics
A Bullish Flag forms after a strong upward price movement, signaling a temporary consolidation phase. During this consolidation, volume typically decreases, suggesting that the market is pausing rather than reversing. After this phase, the price often continues its upward trend, accompanied by an increase in volume. Bullish Flag Patterns also help relieve overbought conditions in technical indicators, providing the market with a chance to prepare for another move up.
2-1) Example 1
This chart from May 2023 shows a strong Flagpole followed by a long consolidation phase (Flag). The volume then increased as the price broke out, completing the Bullish Flag Pattern.
2-2) Example 2
In this chart from March 2021, we see a similar setup: a strong Flagpole, followed by a consolidation phase, leading to a breakout that continued the upward trend.
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3. Bearish Flag Pattern
1) Basic Characteristics
The Bearish Flag Pattern is the inverse of the Bullish Flag. It follows a strong downward move (Flagpole) and is followed by a period of consolidation (Flag) with decreasing volume. Like its bullish counterpart, the Bearish Flag can relieve oversold conditions, leading to a continuation of the downtrend after a breakout.
2-1) Example 1
This chart from May 2022 displays a Bearish Flag Pattern: a strong downward Flagpole, followed by a Flag consolidation phase. After the consolidation, a breakout occurred, continuing the downtrend.
2-2) Example 2
This chart from February 2022 also illustrates a strong downward Flagpole, followed by a consolidation phase (Flag), leading to a breakout that completed the Bearish Flag Pattern.
This guide will help you better understand the Flag Pattern and how it can be used in your trading strategy effectively!
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✔️ Conclusion
I hope the various Flag Patterns and market analysis techniques covered in this post prove helpful in your investment journey. Chart analysis is not merely a technical skill but also a deeper understanding of market psychology and movement. Flag Patterns, along with other chart patterns, visually reflect the psychological dynamics of the market. Mastering their use can greatly contribute to successful trading.
That being said, the crypto market is inherently unpredictable and fast-moving. While technical analysis is a valuable tool, it’s important to adopt a comprehensive approach that considers broader market trends and external factors. I encourage you to apply the insights gained from this post with a balanced and cautious perspective when making investment decisions.
New opportunities are constantly emerging, and those who are prepared to seize them will find success. The chart represents the market’s voice. Listening to it, interpreting it, and making informed decisions based on that interpretation is "the essence" of chart analysis.
I sincerely hope that, through continuous learning and experience, you’ll evolve into a more confident and successful investor.
USDJPY~Currency Carry Trade~Forex Fundamentals The upper pane is inverted USDJPY, ie JPYUSD.
THE lower pane is US10, or inverted US10Y.
When interest rate in US rises against/faster than/compared with interest rate in JP, the exchange rate of USJPY follows as well.
Investors will simply pull out the capitals from Japan and park them in US for better return. If you can rent out your resources at the price of 5%, why wasting them only earning 1%.
Capital tends to flow to the people/places/projects that can utilize it most.
How to beat FOMO in professional tradingToday I wanted to share my anti-FOMO trading routine, a strategy I worked on in the past to grow consistency and stay disciplined and focused in my fight against the fear of missing out:
1️⃣ Set a trading schedule: I establish fixed trading hours that align with my lifestyle and preferred market sessions. Having a structured routine reduces the urge to chase trades outside my plan.
2️⃣ Define clear entry & exit rules: I outline precise entry and exit criteria for every trade. This leaves no room for impulsive decisions driven by FOMO. Trusting my strategy keeps me on track.
3️⃣ Limit trade frequency: I avoid overtrading by setting a maximum number of positions per asset and assets per portfolio. Quality over quantity is my mantra to avoid FOMO-driven trades.
4️⃣ Predefined watchlist: I curate a watchlist of potential trade setups before the trading session. Sticking to these preselected assets helps me stay focused and disciplined as well as ensuring a properly balanced portfolio.
5️⃣ Embrace JOMO: I find joy in missing out (#JOMO) on irrelevant market noise. By focusing on my plan, I eliminate the fear of missing out on every single opportunity. I don't care what happens with the trades I don't take.
6️⃣ Trading journal: I maintain a detailed behavioral journal to record my thoughts, emotions, and performance trends. Reflecting on past behavior helps me identify any FOMO tendencies and make necessary adjustments.
7️⃣ Take breaks & self-care: Regular breaks during trading hours prevent burnout and emotional decision-making. I prioritize self-care to maintain a clear and focused mindset.
Consistency breeds discipline and confidence, and discipline and confidence conquers FOMO. 🛤️🚀✨
Understanding Economic IndicatorsUnderstanding Economic Indicators
Economic indicators help us understand the state and direction of the economy, providing valuable information across the various sectors. Indicators of economic growth are widely used by businesses, investors, traders, policymakers, and individuals who care about their financial future. In this FXOpen article, we will provide the definition of economic indicators and explain how to interpret them.
Economic Indicator: Definition and How to Interpret Them
So, what is an economic indicator? It is a statistical measurement used to determine the health of an economy. Indicators focus on different aspects of economic activity, such as employment, inflation, and consumer spending.
Interpreting economic indicators can be complex because even positive changes don’t always mean good things. For example, an increase in consumer spending may indicate a healthy economy, but it may also be associated with an increase in consumer debt. Similarly, a decline in the unemployment rate may indicate economic growth, but it may also be due to an outflow of labour.
Interpreting economic indicators involves analysing data to understand the current state and future direction of the economy. Let’s consider the steps to be taken:
1. Know what each economic indicator measures and how it is calculated so that you can interpret the data correctly and not make assumptions.
2. Examine current measurements against historical data and trends to determine if the current direction is an outlier or part of a larger phenomenon. Analyse patterns to predict future changes.
3. Take into account external factors such as government policies, natural disasters, and global events.
4. Consider several metrics, as no single economic indicator can give a complete picture of the economy.
5. If you doubt how to interpret economic indicators, seek advice from an economist or financial adviser.
GDP
One of the most important indicators of economic growth is Gross Domestic Product (GDP). It quantifies the collective value of goods and services generated within a nation during a defined time frame, often spanning a year or a quarter. GDP is seasonally adjusted to exclude quarterly fluctuations due to climate or holidays and is also adjusted for inflation to measure changes in output rather than in the prices of goods.
GDP serves as a basis for decision-making as it indicates overall growth over a specific period. GDP shows whether the economy is expanding or contracting. It also helps to establish trends in consumer spending, the state of housing and business investment, and the rise or fall in the prices of goods and services.
Labour Market
Labour market indicators are a set of quantitative measurements used to analyse and assess various aspects of a country's workforce. These metrics provide insights into the supply and demand for labour, the health of the job market, the quality of employment opportunities, and the dynamics of the workforce. They include various metrics, with the most popular being the unemployment rate, employment change, average earnings, initial jobless claims, participation rate, and nonfarm payrolls.
Typically, high levels of employment and the regular creation of new jobs signal the strength and growth of the economy.
Additionally, you can look beyond the economy as a whole and analyse the performance of specific companies. For example, you can evaluate employee turnover and retention rates or look at the return on human capital.
Inflation Data
Inflation data refers to information and statistics that quantify the rate at which the general level of prices for goods and services in an economy is rising over a specific period of time. Inflation is a fundamental economic concept that reflects the erosion of purchasing power over time.
There are numerous inflation metrics, including CPI, PPI, inflation rate, and core inflation. CPI (Consumer Price Index) and PPI (Producer Price Index) are widely used by traders and investors to determine future price movements.
CPI tracks changes in the prices of goods and services. It is used to calculate cost of living adjustments and changes in the purchasing power of consumers. PPI measures the change in prices charged by domestic producers of goods and services. It is used to calculate real growth by adjusting revenue sources for inflation.
Retail Sales
Retail sales data represent the total amount of goods sold by retailers to end consumers. The indicator reflects consumer demand for finished goods. It helps analysts and investors assess the health of the economy and possible inflationary pressures. Retail sales data provides insights into consumer demand, trends in spending behaviour, and the performance of different sectors within the retail industry. Core retail sales, which exclude motor vehicles, petrol, building materials, and food services, are also an important metric.
Business Confidence
Business confidence measures the level of optimism or pessimism that business owners have about the future performance of their companies. The Business Confidence Index (BCI) is typically measured through surveys and indices that assess the perceptions of business leaders regarding current and future economic conditions.
The results of surveys can be influenced by many factors, including changes in government policies, market trends, and global events. High levels of business confidence can lead to increased investment, hiring, and economic growth, while low levels of confidence can result in decreased investment, lay-offs, and economic decline.
Consumer Confidence
Consumer confidence is an assessment of the degree to which consumers are optimistic or pessimistic about the state of the economy and their personal financial situation. CC is also measured through surveys.
While high levels of consumer confidence can lead to increased expenditure and economic growth, low levels can lead to decreased spending. Data on consumer confidence is valuable for manufacturers, retailers, government agencies, and banks.
Final Thoughts
As a trading platform, we care about our clients, so we try to provide as much information as possible to help them evaluate the economy or the companies they want to invest in. Understanding economic indicators will make fundamental analysis much easier for you. To learn more about assets and instruments, explore our TickTrader platform and our blog. Once you feel confident, you can open an FXOpen account and dive into trading.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
Build Confidence with Heikin-Ashi Candle Patternow to Trade Using Heikin Ashi Candles on the NDX Chart
Heikin Ashi candles are a powerful tool for filtering out market noise and identifying trends more clearly than traditional candlesticks. By smoothing out price action, they allow traders to focus on the overall direction of the market, helping you make more informed trading decisions. Here’s a breakdown of how to use Heikin Ashi candles effectively, specifically on the NDX chart.
1. How to Read Heikin Ashi Candles
The primary difference between Heikin Ashi and traditional candlesticks is in how they are calculated. Heikin Ashi uses a modified formula that incorporates the open, close, high, and low prices of the previous candle, which results in a smoother appearance. This smoothing effect allows traders to more easily spot trends:
Bullish Trends: A series of green candles with no lower wicks typically indicates a strong uptrend. These are the times to consider long trades.
Bearish Trends: A series of red candles with no upper wicks signals a strong downtrend. These are great opportunities for short positions.
Consolidation: Mixed green and red candles with wicks on both ends often indicate consolidation or indecision in the market.
The Heikin Ashi chart reduces the noise from minor price fluctuations, allowing you to focus on the trend itself rather than the short-term volatility.
2. Entry and Exit Points
The beauty of Heikin Ashi candles lies in their ability to simplify entries and exits. Here’s how to use them:
Entry Points: You want to enter a trade when a new trend is confirmed. For a long position, wait for the first few green Heikin Ashi candles after a period of red ones, signaling a reversal to the upside. For a short position, look for a sequence of red candles after a bullish period has ended.
Exit Points: Exit your trade when you start seeing signs of reversal. For long trades, this would be the appearance of the first red Heikin Ashi candle after a series of green ones. For short trades, exit when the first green candle appears after a bearish sequence.
Waiting for these clear signals helps avoid premature exits and ensures that you’re riding the trend for as long as possible.
3. Key Support and Resistance Levels
Heikin Ashi works even better when combined with key support and resistance levels. On the NDX chart, identifying these levels provides context for your trades:
Support Levels: If the price is approaching a key support level, and you start to see bullish Heikin Ashi candles, it’s a potential buy signal.
Resistance Levels: If the price is approaching resistance and bearish Heikin Ashi candles begin forming, that could signal a good time to sell or short.
Using Heikin Ashi in conjunction with these levels increases the probability of success by ensuring you are trading within important zones where price action tends to react.
By mastering the use of Heikin Ashi candles and combining them with support and resistance, you can significantly improve your ability to spot and act on high-probability trading opportunities, especially on volatile instruments like NDX.
New Features For Dynamic Pivot Levels - Percentage indicatorIn our latest update, we’ve packed in some exciting new features and enhancements that will elevate your analysis experience to the next level:
Exciting New Features: We’ve added additional Exponential Moving Averages (EMAs), allowing you to track five different EMAs tailored to your needs. But that’s not all – we’ve introduced smiley indicators that give you instant feedback on whether the price is above or below the moving average. Now you can analyze with a clean, clutter-free chart!
Fibonacci Level Enhancements: We’ve upgraded the logic behind Fibonacci levels to give you more accurate insights. The improved Fibonacci calculations provide a clearer, more precise visual representation, helping you make better-informed decisions.
A Sleek, Streamlined User Interface: We know how important it is to work with a smart, efficient tool, so we’ve revamped the user interface! Settings are now neatly organized into categories, allowing you to quickly and easily customize everything you need. This makes your workflow smoother and faster.
This update doesn’t just bring new capabilities – it makes the tool more accessible and user-friendly than ever. It’s your key to staying focused on precision analysis, without the distractions!
Relative Strength (Not RSI)For a serious trader Relative Strength (Not RSI) is a very important component. A careful study of RS will tell you your are on which stage.
There are 4 stages in a stock's life Stage:
Stage 1 - This is the stage of consolidation, usually happens at bottom after a fall.
Stage 2 - This when stock breaks out from Stage 1 and price moves away from stage 1.
Stage 3 - This is again a consolidation phase but this will be at top or after stage 2.
Stage 4 - This is the break down of stage 3 and price falls quickly .
As a Trader we usually enter at Stage 2 to go long or Stage 4 to either book out our stock or to short a stock.
Relative Strength or RS is a stocks performance against bench mark index. This tool is freely available in TV community. Which is a great tool to take or avoid a trade.
In this case RS is in red or falling which means the stock is under performing bench mark index NIFTY500. Now look the chart, stock is in consolidation after a up move. So RS is advising us against any further buy a stock is underperforming even though moved up and rightly so the eventual broken down.
Mastering Trading ConfluenceIn the world of trading, success often hinges on making informed decisions based on reliable analysis. However, relying on a single indicator or tool can sometimes lead to false signals and missed opportunities. This is where the concept of trading confluence comes into play. Trading confluence refers to the alignment of multiple indicators, tools, or analysis techniques to confirm trading signals, thereby increasing the probability of a successful trade.
🔵𝚆𝙷𝙰𝚃 𝙸𝚂 𝚃𝚁𝙰𝙳𝙸𝙽𝙶 𝙲𝙾𝙽𝙵𝙻𝚄𝙴𝙽𝙲𝙴?
Confluence in trading is the process of combining different technical analysis tools to identify high-probability trading opportunities. Instead of relying on a single indicator, traders look for areas where multiple indicators or strategies align, providing a stronger signal for entering or exiting a trade. These tools might include price action analysis, moving averages, Fibonacci retracements, support and resistance levels, or even fundamental analysis. When several tools point to the same conclusion, the signal is considered more robust, reducing the likelihood of false positives and improving the chances of a successful trade.
🔵𝚆𝙷𝚈 𝙸𝚂 𝙲𝙾𝙽𝙵𝙻𝚄𝙴𝙽𝙲𝙴 𝙸𝙼𝙿𝙾𝚁𝚃𝙰𝙽𝚃?
The financial markets are complex, with numerous factors influencing price movements. Relying on a single indicator can lead to inconsistent results, as no indicator is infallible. By using confluence, traders can:
Increase Confidence in Trade Decisions : When multiple indicators confirm the same signal, it provides traders with greater confidence to act on that signal, knowing that it is backed by various forms of analysis.
Filter Out False Signals : Indicators sometimes produce false signals. By requiring alignment between different tools, confluence helps filter out these false positives, leading to more reliable trading decisions.
Enhance Risk Management : Confluence allows traders to pinpoint more precise entry and exit points, which can lead to tighter stop-loss levels and better risk-reward ratios. This, in turn, can improve overall portfolio performance.
🔵𝙷𝙾𝚆 𝚃𝙾 𝚄𝚂𝙴 𝙲𝙾𝙽𝙵𝙻𝚄𝙴𝙽𝙲𝙴 𝙸𝙽 𝚃𝚁𝙰𝙳𝙸𝙽𝙶
To effectively use confluence in your trading strategy, consider the following steps:
Select Complementary Indicators : Choose indicators that complement each other rather than those that replicate the same information. For example, combining a momentum indicator like the Relative Strength Index (RSI) with a trend-following indicator like a Moving Average can provide a more comprehensive view of market conditions.
Identify Key Levels : Look for confluence at key levels such as support and resistance zones, Fibonacci retracement levels, or pivot points. When price action aligns with these levels and is confirmed by multiple indicators, it suggests a higher probability trade setup.
Confluence of Chart Patterns and Oscillator
One powerful example of confluence is when a chart pattern like Equal Highs (EQH) aligns with a momentum indicator such as the Stochastic RSI. This combination provides more confidence in determining the trend direction.
When both the EQH pattern and Stochastic RSI align, such as when price hits equal highs while the Stochastic RSI shows overbought conditions, traders can have increased confidence in anticipating a trend reversal.
Combining Same-Type Indicators
- Using multiple trend-following indicators, such as the Aroon, Directional Movement Index (DMI), and the 50-period Simple Moving Average (SMA), can enhance your ability to identify strong trends and avoid false signals. These indicators complement each other by offering different perspectives on trend strength and direction.
- Combining multiple mean reversion indicators can provide stronger signals for potential price reversals. This approach helps in identifying overbought or oversold conditions with greater confidence. Here are some ways to create confluence using mean reversion indicators:
When multiple indicators align to show overbought or oversold conditions, it provides a stronger signal for a possible price reversal. However, it's important to remember that even with confluence, no indicator combination is foolproof, and proper risk management should always be employed.
Use Multiple Time Frames : Analyzing confluence across different time frames can provide additional confirmation. For instance, if a bullish signal is confirmed on both the daily and hourly charts, it strengthens the case for entering a long position.
Multiple timeframe analysis is a highly effective strategy in technical analysis, as it allows traders to see the broader picture of market trends and zoom into shorter-term price movements. One common approach is to apply a 50-period Simple Moving Average (SMA) across different timeframes, such as 3D, 1D, 12H, and 4H charts, to assess trend strength and direction.
By combining these timeframes with the 50-period SMA, traders can assess whether the trend is aligned across different perspectives. For example, if the price is above the 50-SMA on the 3D and 1D charts but below it on the 4H chart, it might signal a short-term pullback within a larger uptrend. This confluence of trend analysis across multiple timeframes provides a more robust trading strategy.
Combine Technical and Fundamental Analysis : While technical indicators are the primary tools for identifying confluence, integrating fundamental analysis (such as economic reports, earnings releases, or geopolitical events) can further validate your trading decisions.
Practice Patience and Discipline : Trading confluence requires patience. It’s important not to force trades when indicators are not in alignment. Waiting for confluence signals can prevent impulsive trades and improve your long-term success rate.
🔵𝙻𝙸𝙼𝙸𝚃𝙰𝚃𝙸𝙾𝙽𝚂 𝙾𝙵 𝚃𝚁𝙰𝙳𝙸𝙽𝙶 𝙲𝙾𝙽𝙵𝙻𝚄𝙴𝙽𝙲𝙴
While trading confluence can significantly enhance your trading strategy, it’s important to acknowledge its limitations:
Overfitting : Relying on too many indicators can lead to overfitting, where the analysis becomes too complex, and signals become rare or conflicting. It's essential to strike a balance and avoid excessive complexity.
Subjectivity : Confluence can be somewhat subjective, as traders might interpret the alignment of indicators differently. Developing a consistent and disciplined approach to identifying confluence is key.
Delayed Signals : Waiting for multiple indicators to align can sometimes result in missed opportunities, especially in fast-moving markets. Traders should be aware of the trade-off between signal reliability and timing.
🔵𝙲𝙾𝙽𝙲𝙻𝚄𝚂𝙸𝙾𝙽
Trading confluence is a powerful concept that can enhance the quality of your trading decisions by providing more reliable signals and reducing the risk of false positives. By combining complementary indicators, analyzing multiple time frames, and incorporating both technical and fundamental analysis, traders can increase their confidence and improve their overall performance. However, it’s important to remain mindful of the potential limitations and to apply confluence in a disciplined and balanced manner.
By mastering trading confluence, you’ll be better equipped to navigate the complexities of the market and make informed decisions that align with your trading goals.
Simple charts and methods can make money!It's a late summer Saturday afternoon and I am writing this so you don't have to! Lot's of people don't have time to watch the market all day and night. Here is a bare bones daily chart that you can easily construct from default configured Trading View community indicators and even more easily discern the correct market position. ONLY BE IN THE MARKET WHEN THE PRICE IS ABOVE OR BELOW BOTH INDICATORS. Configure TV Alerts from the SPX price cross of the indicators and be on your way. I position in pre and post SPX ETF markets off this chart Happy Trades! And now I'm going fishing. DAP
NIFTY50: Comparative study of all major Indices.f we consider 27th Oct 2023 as BASE LINE (i.e from where the Current Rally Starts)
Here are the comparison of major indices as now (Base line treat as 0%)
CAC (French Index): +35.07%
NASDAQ (US Tech Index): +32.02%
NIFTY50 (NSE India INDEX): +31.29%
SP500 (US large 500 Company index LIKE in NSE NIFTY500): +31.03%
DAX (GERMANY Index) : +24.61%
DJI (Dow Jones Industrial Avg USA Index) +24.46%
NIKKEI (Index of JAPAN): +15.19%
UK100 (Index from United Kingdom Previously Known as FTSE): +12.27%
HANSSENG (Index of HONGKONG): +0.26%
SSE (Shanghi Composite China): -8.35%
INDIAAN RUPEE Vs US Doller: +0.87%
INDIAAN RUPEE Vs EURO: +6.09% (Good for TCS Like Stocks)
US Doller Vs EURO (Currency of EUROPIAN Uniom): +4.69%
Conclution: 1. Indian Indices is farely valued compare to NASDAQ & S&P500
2. Moderate OVERSTRETCHED CCompare to DAX & DOW Jones.
Trade what you see, not what you think or hope!There’s no better time to post this educational article than right now. Despite constantly reminding myself to "trade what you see, not what you think or hope," two days ago I did the exact opposite. I ignored a clear double Pin Bar formation at a support level, which resulted in me taking a stop loss.
Ironically, I knew better.
But, as the saying goes, "Do as the preacher says, not as the preacher does."
Let’s dive deeper into this vital concept—how emotions and our tendency to predict or hope for the market’s next move can lead us astray, and why sticking to what the charts show is crucial for long-term trading success.
Trade What You See, Not What You Think or Hope
In trading, the temptation to predict the market’s movement based on gut feeling, emotions, or even hope is always present. Whether you’re new to trading or experienced, this temptation can lead you to stray from your strategy, often with disastrous results.
Successful traders have mastered the discipline of relying on objective data—what they see on the charts—and they minimize the influence of personal bias or emotional decision-making. In this section, we will cover why trading what you see is essential, the pitfalls of emotional trading, and strategies to remain focused.
1. The Pitfall of Predicting the Market
One of the biggest mistakes traders make is attempting to outsmart the market by predicting its next move based on feelings or speculation. It's a lot like gambling. For instance, after a loss, traders may try to "get back" at the market by forcing trades or doubling down, just as a gambler would after a bad hand. This reactive behavior is the opposite of trading based on logic and a structured plan.
In fact, reacting emotionally after a loss or even after a win (due to overconfidence) creates patterns of erratic trading. Instead, traders should stick to price action setups and predefined trading strategies.
2. Objectivity Over Emotion
Trading involves acknowledging that the market doesn’t care about your emotional state. It’s not personal. And yet, so many traders get emotionally attached to their trades, thinking they can make the market to move in their favor. Instead, your goal should be to detach emotionally from individual trades and focus on the larger picture: is the setup you are seeing aligned with your strategy?
No matter how perfect a setup looks, you should never become overly confident or emotionally invested in a trade. Always maintain your risk management, even if you are sure this trade is a “winner.”
3. Emotions Can Be Deceptive
Your mind can play tricks on you, especially when you're hoping for a specific outcome. Often, traders get caught up in their ideas of where they "want" the price to go, or what they "think" the market "should" do. This can cloud judgment and lead to chasing trades, forcing setups where none exist.
Price action on the chart is objective. It doesn’t care about your opinions. By focusing on clean price action patterns and setups, you will avoid being misled by your own expectations.
4. Stick to Your Trading Plan
One of the most effective ways to ensure you're trading based on what you see is to stick to your trading plan. Every trade should be in line with the rules you’ve set in advance, whether that’s for entering, exiting, or managing risk. Deviating from your plan because of a gut feeling can quickly turn a good strategy into a string of bad decisions.
Ask yourself:
Is there a clear setup here, or am I just trying to make one up?
Does this trade align with my strategy and risk management rules?
5. Trust What the Charts Show You
The key takeaway is that no matter how tempting it is to speculate or act on emotions, the price action is your guide. Trust what the charts show you, even if it contradicts what you “feel” should happen. For instance, ignoring a perfect Pin Bar setup because you “hope” for a retracement can result in missed opportunities or losses.
Ultimately, price action trading boils down to looking at what the chart is telling you and not what you want it to say.
Have a nice weekend!
Mihai Iacob
Learn 7 Types of Liquidity Zones in Trading
In the today's article, we will discuss 7 main types of liquidity zones every trader must know.
Just a quick reminder that a liquidity zone is a specific area on a price chart where a huge amount of trading orders concentrate.
Read carefully, because your ability to recognize and distinguish them is essential for profitable trading.
1. Fibonacci Zones
The zones based on Fibonacci levels can concentrate the market liquidity.
Classic Fibonacci retracement levels: 0,382; 0,5; 0,618; 0.786
and Fibonacci Extension levels: 1,272; 1,414; 1,618 attract market participants and the liquidity.
Above, you can see an example of a liquidity zone based on 0,618 retracement level.
The reaction of the price to that Fib.level clearly indicate the concentration of liquidity around that.
Also, there are specific areas on a price chart where Fibonacci levels of different impulse legs will match.
Such zones will be called Fibonacci confluence zones.
Fibonacci confluence zones will be more significant Fibonacci based liquidity zones.
Above, is the example of a confluence zone that is based on 0,618 and 0,5 retracement levels of 2 impulses.
The underlined area is a perfect example of a significant liquidity zone that serves as the magnet for the price.
2. Psychological Zones
Psychological zones, based on psychological price levels and round numbers , quite often concentrate the market liquidity.
Look at a psychological level on WTI Crude Oil. 80.0 level composes a significant liquidity zones that proved its significance by multiple tests and strong bullish and bearish reactions to that.
3. Volume Based Zones
The analysis of market volumes with different technical indicators can show the liquidity zones where high trading volumes concentrate.
One of such indicators is Volume Profile.
On the right side, Volume Profile indicate the concentration of trading volumes on different price levels.
Volume spikes will show us the liquidity zones.
4. Historic Zones
Historic liquidity zones will be the areas on a price chart based on historically significant price levels.
Market participants pay close attention to the price levels that were respected by the market in the past. For that reason, such levels attract the market liquidity.
Above, you can see a historically significant price level on Silver.
It will compose an important liquidity zone.
5. Trend Lined Based Zones
Quite often, historically significant falling or rising trend lines can compose the liquidity zones.
Above is the example of an important rising trend line on GBPJPY pair.
Because of its historical significance, it will attract the market liquidity.
Trend lined based liquidity zone will be also called a floating liquidity area because it moves with time.
6. Technical Indicators Based Zones
Popular technical indicators may attract the market liquidity.
For example, universally applied Moving Average can concentrate huge trading volumes.
In the example above, a floating area around a commonly applied Simple Moving Average with 50 length, acts as a significant liquidity zone on EURJPY.
7. Confluence Zones
Confluence zones are the liquidity zones based on a confluence of liquidity zones of different types.
For example, a match between historic zones, Fibonacci zones and volume based zones.
Such liquidity zones are considered to be the most significant.
Look at the underlined liquidity zone on US100 index.
It is based on a historical price action, psychological level 17000, significant volume concentration indicated by volume indicator and 618 Fibonacci retracement.
Always remember a simple rule: the more different liquidity zone types match within a single area, the more significant is the confluence zone.
Your ability to recognize the significant liquidity zones is essential for predicting the market movements and recognition of important reversal areas.
Liquidity zones are the integral element of various trading strategies. Its identification and recognition is a core stone of technical analysis.
Study that with care and learn by heart all the liquidity types that we discussed today.
❤️Please, support my work with like, thank you!❤️
Major earnings are times to hedge or BTDAs far more eloquent and technical writers have covered (spotgamma, etc) - it's very clear that the markets in general are driven by single name options on the largest market cap companies.
And to help visualize just how much volatility can happen around earnings on these single names, I wanted to be able to visualize those earnings dates and impacts against some of the major benchmark ETFs like SPY or QQQ.
So far, I hadn't seen a place that gives this a more clear presentation so here is my first attempt at visualizing just how large the ripples are from the "megacaps" (AAPL, MSFT, NVDA, TSLA, etc) in a very "glanceable" way.
Introducing this indicator here first!
Earnings Date Highlighter - from0_to_1
Easily see the earnings dates from top market movers or the top holdings of your favorite ETF!
GOLDEN ZONE TRADINGFibonacci retracements and extensions are technical analysis tools that use the Fibonacci sequence to identify potential support and resistance levels in financial markets. They are based on the mathematical concept that the ratio between any two consecutive numbers in the Fibonacci sequence approaches the golden ratio (approximately 1.618) as the numbers get larger.
Fibonacci Retracements:
Calculate levels: Fibonacci retracements are calculated by dividing the price difference between a high and a low by the Fibonacci ratios (0.000%, 23.6%, 38.2%, 50.0%, 61.8%, 100.0%).
Identify support and resistance: The resulting levels are plotted on the chart to identify potential support and resistance areas.
Trading strategy: Traders can use Fibonacci retracements to enter trades at support levels and exit trades at resistance levels.
Fibonacci Extensions:
Calculate levels: Fibonacci extensions are calculated by extending the price movement beyond a high or low by the Fibonacci ratios (1.618, 2.618, 4.236).
Identify potential targets: The resulting levels are plotted on the chart to identify potential price targets for a move.
Trading strategy: Traders can use Fibonacci extensions to set profit targets for their trades.
Golden Zone Trading:
The term "golden zone" is often used in conjunction with Fibonacci retracements and extensions. It refers to the area between the 38.2% and 61.8% retracement levels, which is considered to be a high-probability zone for price reversals or continuations.
Trading Strategies:
Buy at 38.2% retracement: If the price retraces to the 38.2% level and shows signs of bullish reversal (e.g., a higher low), traders can consider buying with a target at the 61.8% extension level.
Sell at 61.8% retracement: If the price retraces to the 61.8% level and shows signs of bearish reversal (e.g., a lower high), traders can consider selling with a target at the 61.8% extension level on the downside.
Use in combination with other indicators: Fibonacci retracements and extensions can be used in combination with other technical indicators (e.g., moving averages, RSI) to improve the accuracy of trading signals.
Important Considerations:
Subjectivity: Fibonacci analysis is a subjective tool, and the exact levels used may vary among traders.
Market conditions: The effectiveness of Fibonacci tools can vary depending on market conditions and the specific asset being traded.
Risk management: As with any trading strategy, it is important to use proper risk management techniques to protect your capital.
Additional Tips:
Practice: The best way to learn how to use Fibonacci tools effectively is to practice on historical data.
Combine with other analysis: Consider using Fibonacci tools in combination with other forms of technical analysis, such as chart patterns or support and resistance levels.
Be patient: Trading using Fibonacci tools often requires patience, as it may take time for price to reach the desired levels.
Remember: While Fibonacci retracements and extensions can be a valuable tool for traders, they are not infallible. It is important to use them in conjunction with other forms of analysis and to always practice good risk management.