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How Does Market Psychology Shape BLX's Price Movements?Hi traders "How the Psychology of Market Cycles Influences BLX" The Psychology of a Market Cycle refers to the emotional and behavioral phases investors and traders experience as markets move through different stages, from optimism during bull markets to fear and despair during downturns. Understanding these psychological patterns is crucial for making informed decisions and avoiding common pitfalls. Market cycles are deeply intertwined with investor psychology, and their impact is clearly reflected in indices like BLX, which tracks Bitcoin’s price performance. The emotional phases of optimism, fear, and recovery that characterize market cycles shape the trajectory of BLX in profound ways. Bull Markets and Euphoria: In the optimistic and euphoric stages, BLX often experiences significant upward momentum as confidence and greed drive speculative buying. The "fear of missing out" (FOMO) accelerates the rise, pushing BLX to new highs. Bear Markets and Panic: When anxiety and denial give way to fear and capitulation, BLX faces sharp declines. Investors overwhelmed by negative sentiment sell off assets, leading to steep corrections in the index. Recovery and Hope: As despair subsides and hope emerges, BLX starts to stabilize and climb, driven by early adopters and institutional interest. This phase lays the groundwork for the next market cycle. Understanding the psychological dynamics behind market cycles can help traders and investors navigate BLX’s fluctuations, make informed decisions, and avoid being swayed by emotional reactions.
BNC:BLXEducation
by hamidTrader21
How Leverage Works in Forex TradingDear readers, my name is Andrea Russo, and today I want to talk to you about one of the most discussed topics in trading: leverage in Forex. This tool, both powerful and delicate, allows traders to amplify their gains with small investments but also carries significant risks if not used prudently. In this article, I will guide you step by step, explaining how leverage works, its advantages and risks, and how you can start trading safely. What is leverage in Forex? Leverage is a tool that allows traders to control much larger positions than the capital actually invested. For example, with a leverage of 1:100, you can open a $100,000 position with an initial investment of just $1,000. Here’s a simple example: You invest $1,000 with a leverage of 1:100. Your market exposure will be $100,000. If the market moves 1% in your favor, you will earn $1,000 (equal to 100% of your capital). If the market moves 1% against you, you will lose your entire capital. As you can see, leverage amplifies both gains and losses, which is why it’s essential to understand how it works before using it. Advantages of leverage Leverage offers several advantages that make it an attractive tool for those who want to invest in Forex: Access to the market with small capital: You can start trading even with modest sums, thanks to leverage. Diversification: With limited capital, you can open multiple positions on different currency pairs. Maximization of profits: Even small price movements can translate into significant gains. The risks of leverage Despite its advantages, leverage carries important risks: High losses: The same amplification that generates profits can multiply losses. Margin Call: If losses exceed the available margin, the broker may automatically close your positions. Emotional stress: High leverage can lead to impulsive decisions, often driven by anxiety. How to start trading in Forex with leverage If you want to use leverage effectively and safely in Forex, follow these steps: 1. Educate yourself and learn the basics First of all, study how the Forex market works. It’s important to understand what influences exchange rates and which strategies to adopt. Dive into key concepts such as: Major currency pairs Spread and commissions Technical and fundamental analysis 2. Choose a reliable broker The broker is your trading partner, so ensure that it is regulated and offers transparent conditions. Look for brokers with: Competitive spreads Flexible leverage options User-friendly platforms 3. Start with a demo account To practice, use a demo account. You can test your strategies without risking real money and gain confidence with the platform. 4. Set up a trading strategy A good trader doesn’t leave anything to chance. Define a trading plan that includes: Realistic goals Percentage of risk per trade (1-2% of capital) Risk management tools like stop-loss and take-profit 5. Start with low leverage If you’re a beginner, use moderate leverage, such as 1:10 or 1:20. This will allow you to limit losses while learning to manage risk. 6. Monitor positions and manage risk Risk management is the key to successful trading. Invest only what you can afford to lose and constantly monitor your positions. Conclusion Leverage is an incredible tool, but it must be used cautiously. It can open the doors of the Forex market even to those with limited capital, but it requires discipline, education, and good risk management. Thank you for reading this article. If you have any questions or want to share your experiences in Forex, feel free to write in the comments. And remember: trading is a marathon, not a sprint! Happy trading!
Education
by Andrea_Russo_SwipeUP
Visual A Happy New Year.This visualization transforms price data into a dynamic constellation of interconnected points, moving beyond linear time series analysis to explore hidden dimensions of market behavior. It leverages the human brain's pattern recognition abilities to potentially reveal insights invisible on standard charts. █  CONCEPTS This visualization breaks free from the constraints of linear time by connecting data points based on relationships beyond chronological order. This approach allows for the exploration of non-linear patterns and multi-dimensional time series analysis, leveraging the speed of visual information processing in the human brain. It's a demonstration where a logarithm is swinging back and forth sweeping to look for patterns that the lines cross along common frequencies. █  NEW AVENUES OF OBSERVATION  • Non-Linear Pattern Detection: Identify patterns and correlations invisible on standard charts, such as subtle shifts in market sentiment or recurring motifs signaling trend changes.  • Multi-Dimensional Time Series Analysis: Explore dimensions beyond time, such as volatility, volume, or sentiment, to uncover hidden drivers of market behavior.  • Visual Intuition: Leverage the brain's pattern recognition to intuitively grasp complex market dynamics obscured by traditional methods. █  THE POTENTIAL OF IMAGINATIVE TOOLING This visualization demonstrates the power of creative coding with Pine Script and the potential of platforms like TradingView to develop innovative market analysis tools. █  TECHNICAL INSIGHTS The focus on visuals stems from the brain's rapid processing of visual information compared to text or numbers, enabling faster pattern and trend identification. █  QUESTIONS FOR FURTHER EXPLORATION  1 — What relationships between data points are visualized (price proximity, volatility, volume, etc.)?    In this case, it's a demonstration where a logarithm is swinging back and forth sweeping to look for patterns that the lines cross along common frequencies.  2 — How can we quantify and automatically detect/classify emerging patterns and clusters?    By measuring when lines cross pivots, distance of points from patterned averages, density between two lines... Many possible ideas.  3 — How can we incorporate additional dimensions to enrich market behavior understanding?    By Trying, by testing, experimenting in ways beyond what you saw before. █  FUTURE DIRECTIONS This is a starting point for further research. Continued exploration could lead to sophisticated tools integrating multiple market data dimensions, allowing navigation through a visualized landscape for better predictions and strategies. Imagine a future where traders and analysts can navigate through a 3D visualised landscape of market data with overlapping colours, transparencies, layers indicating correlations, zooming in on specific patterns and lighting up in ways that show us moments of significance that were previously invisible. █  CALL TO ACTION Experiment with Pine Script and share your visualizations. Collective creativity and innovation can drive this field forward. Let's explore, experiment, and push the limits of visual thinking together. This visualisation is only one of many starting points, you can find a number of other greet works by browsing through the scripts available on Trading view, I am sharing this as an invitation to think outside the box.
Education
by kaigouthro
The Quest for Market MasteryEssential Reading for Understanding Markets, Behavior, and Decision-Making Understanding financial markets and human behavior requires more than just technical knowledge - it demands deep insights into psychology, probability, and decision-making. I've curated a selection of groundbreaking books that together provide a comprehensive framework for mastering these interconnected domains. Let's start with Daniel Kahneman's "Thinking, Fast and Slow," a masterpiece that revolutionized our understanding of human decision-making. Kahneman introduces us to two systems that drive our thinking: the fast, intuitive System 1, and the slow, analytical System 2. This book is essential for anyone looking to understand their own cognitive biases and improve their decision-making process, whether in markets or in life. Building on these psychological insights, Richard Thaler and Cass Sunstein's "Nudge" explores how choice architecture influences our decisions. Their work demonstrates how subtle changes in how options are presented can significantly impact outcomes - crucial knowledge for both policymakers and investors. For those interested in the intersection of theory and practice, Nassim Nicholas Taleb's "Incerto" series (including "Fooled by Randomness," "The Black Swan," and "Antifragile") offers profound insights into probability, uncertainty, and risk. Taleb's work challenges conventional wisdom about randomness and helps readers develop more robust mental models for dealing with uncertainty. Moving to practical market applications, Edward O. Thorp's "A Man for All Markets" provides a fascinating journey from Las Vegas to Wall Street. Thorp, who pioneered quantitative investing, shares valuable lessons about probability, risk management, and the importance of maintaining a mathematical edge in any endeavor. Gregory Zuckerman's "The Man Who Solved the Market" tells the incredible story of Jim Simons and Renaissance Technologies. This book offers rare insights into how mathematical models and data science revolutionized trading, while also highlighting the importance of assembling exceptional teams and maintaining rigorous discipline. Finally, George Soros's "The Alchemy of Finance" introduces his theory of reflexivity, challenging traditional economic theories about market equilibrium. His insights about how market participants' perceptions affect market reality remain highly relevant today. Reading these books in combination offers several key benefits: A deep understanding of human psychology and decision-making Practical frameworks for dealing with uncertainty and probability Real-world applications of theoretical concepts Insights into different approaches to market analysis Lessons about risk management and system building The authors approach markets and decision-making from different angles - psychology, mathematics, philosophy, and practical experience. Together, they provide a rich tapestry of knowledge that can help readers develop more sophisticated mental models for understanding markets and human behavior. For beginners, I recommend starting with "Thinking, Fast and Slow" to build a psychological foundation, then moving to "Nudge" and the "Incerto" series. More market-focused readers might prefer beginning with Thorp's memoir before diving into the theoretical works. Remember that understanding markets and behavior is a journey, not a destination. These books don't offer simple formulas for success, but rather frameworks for thinking about complex problems. The real value comes from integrating these different perspectives into your own mental models and decision-making processes. Whether you're an investor, trader, policy maker, or simply someone interested in understanding how markets and humans interact, these books provide invaluable insights that can help you navigate an increasingly complex world. The time invested in reading and understanding these works will pay dividends far beyond the financial markets.
NASDAQ:NDXEducation
by Moshkelgosha
Trading While Tired: How Lack of Sleep Messed Me UpThere was a time in my trading journey when I thought staying up late would make me a better trader. I’d sit at my desk until the early hours, staring at charts and telling myself, “The more I watch, the more I’ll win.” At first, it seemed like it was working. I caught a few decent trades late at night and felt like I was ahead of the game. But then, it all started to go wrong. The Day It Hit Me One morning, after getting just four hours of sleep, I sat down to trade like I always did. But something felt off. I couldn’t focus on the charts—I kept missing obvious patterns. On one trade, I completely forgot to set a stop-loss, and it ended up costing me more than it should have. By the end of the day, I had made so many mistakes that I didn’t even recognize myself as a trader. I was losing money, and I felt like a mess. What Lack of Sleep Does Looking back, I can see how skipping sleep was hurting me. Here’s what I went through: - I Couldn’t Think Clearly: I felt foggy and couldn’t concentrate on my trading plan. - I Made Bad Choices: I rushed into trades without thinking them through. - I Was Moody: Losing trades hit me harder than they should have, and little things made me angry. - I Drank Too Much Coffee: I thought caffeine would fix my tiredness, but it just made me jittery. - I Broke My Rules: I was too tired to follow my trading strategy. How I Fixed It One day, after another sleepless night and a morning full of mistakes, I decided enough was enough. I told myself I needed to change. The first step? Making sleep a priority. At first, it was hard to turn off the charts and go to bed. I thought I’d miss out on opportunities, but the truth was the opposite. With proper rest, I became sharper, calmer, and more confident in my trades. What I Learned -Sleep is as important as trading skills—you can’t think clearly without it. -Watching the charts all night doesn’t help if you’re too tired to make good decisions. -A good night’s sleep leads to smarter, more focused trading. Are You Trading Tired? If you’re staying up late and feeling exhausted while trading, it’s time to change that. Trust me, your trades will get better when your brain has the energy to work properly. If you’re stuck or want to chat about how to balance trading with a healthy lifestyle, send me a DM. I’ve been there, and I’m here to help! Kris/Mindbloome Exchange
KRAKEN:GALAUSDEducation
by Mindbloome-Trading
6
Overtrading: The Fast Track to BurnoutThere was a day in my trading journey that I’ll never forget—and not for a good reason. It started like any normal day. I had my plan, and the first few trades went well. But then, I saw what I thought was another good opportunity. Without thinking it through, I jumped in. The trade didn’t work out, and I got frustrated. Instead of stepping back, I started trading like crazy, trying to get my money back. One bad trade led to another, and before I knew it, I had made over 30 trades in a single day. Each one was worse than the last. By the end, I had lost thousands of dollars. Even worse than the money, I felt drained, frustrated, and embarrassed. That’s when I realized: I was overtrading, and it was destroying both my account and my mindset. What Is Overtrading? Overtrading is when you make too many trades, often because you’re emotional. Maybe you’re trying to chase every small market move, recover a loss, or just avoid feeling bored. Whatever the reason, you’re not sticking to your plan—you’re just clicking buttons and hoping for the best. How to Spot Overtrading Here’s how you can tell if you’re overtrading: - Too Many Trades: You’re constantly jumping in and out of the market without thinking it through. - Ignoring Your Rules: You forget your plan and take trades that don’t fit your strategy. - Trading on Emotions: You’re trading out of frustration, boredom, or desperation. - Feeling Exhausted: By the end of your session, you’re completely wiped out. - Losing More Money: Your account keeps shrinking because your trades are rushed and sloppy. What Overtrading Does to You Overtrading isn’t just bad for your account—it’s bad for you, too: - You Lose Money: Bad trades add up fast, and your account takes a hit. - You Burn Out: Staring at screens all day and trading on emotions will leave you mentally drained. - You Lose Confidence: Watching your mistakes pile up makes you doubt yourself. - You Break Discipline: Once you’re out of control, it’s hard to stick to your strategy. - You Feel Tired and Unhealthy: Long hours and no breaks make your body and mind feel worse. How I Fixed It After that awful day, I knew I had to change. I took a break for a few days to clear my head. When I came back, I made some rules for myself: -Only trade setups that match my plan. -Set a limit on how many trades I can take in a day. -Take regular breaks so I don’t burn out. -Journal every trade so I can spot my mistakes and improve. It took time, but these small changes helped me stop overtrading and focus on making smarter decisions. Are You Overtrading? If this sounds familiar, you’re not alone. Overtrading happens to a lot of traders, but you can fix it with the right approach. If you’re feeling stuck, frustrated, or burned out, send me a DM. I’m here to help you figure out what’s going wrong and how to turn things around. You don’t have to do it alone! Kris/Mindbloome Exchange
NASDAQ:MSFTEducation
by Mindbloome-Trading
HOW-TO use the Rainbow Indicator? (full guide)Below is a complete instruction on how to use the Rainbow Indicator along with examples. This indicator is an important facet of my decision-making system because it allows me to answer two important questions: - At what price should I make a trade with the selected shares? - In what volume? Part 1: Darts Set My concept of investing in stocks is buying great companies during a sell-off . Of course, this idea is not unique. One way or another, this was said by the luminaries of value investing – Benjamin Graham and Warren Buffett. However, the implementation of this concept may vary depending on the preferences of each investor.To find great companies, I use the Fundamental strength indicator , and to plan opening and closing positions I use the Rainbow indicator. To begin your acquaintance with the Rainbow Indicator, ⁣ I would like to invite you to take part in a mental experiment. Imagine two small rooms for a game of darts. Each room has a different target hanging in it. It can be anywhere: center, left, right, bottom, or top. Target #1 from the first room looks like a small red circle. Target #2 from the second room looks like a larger red circle. You get a reward for hitting the target, calculated according to the following principle: the smaller the target in relation to the wall surface, the greater the reward you get. You have 100 darts in your hand, that is 100 attempts to hit the target. For each attempt, you pay $10. So to play this unusual game of darts, you take with you $1,000. Now, the most important condition is that you play in absolute darkness . So you don't know exactly what part of the wall the target is hanging in, so all your years of darts practice don't matter here. The question is: Which room will you choose? This is where you begin to think. Since your skills and experience are almost completely untapped in this game, all of your attempts to hit a target will be random. This is a useful observation because it allows you to apply the theory of probability. The password is Jacob Bernoulli. This is the mathematician who derived the formula by which you can calculate the probability of a successful outcome for a limited number of attempts. In our case, a successful outcome is a dart hitting the target as many times as necessary in order to, at least, not lose anything. In the case of Target #1, it is one hit or more. In the case of Target 2, it is 10 hits or more. The probability of hitting Target #1 is 1/100 or 1% (since the target area occupies 1% of the wall area). The probability of hitting Target #2 is 10/100 or 10% (since the target area occupies 10% of the wall area). The number of attempts is equal to the number of darts - 100. Now we have all the data to calculate. So, Bernoulli's formula : According to this formula: - The probability of one or more hits on Target #1 is 63% (out of 100%). - The probability of ten or more hits on Target #2 is 55% (out of 100%). You may say, "I think we should go to the first room". However, take your time with this conclusion because it is interesting to calculate the probability of not hitting the target even once, i.e., losing $1,000. We calculate using the same formula: - The probability of not hitting Target #1 is 37% (out of 100%). - The probability of not hitting Target #2 is 0.0027% (out of 100%). If we calculate the ratio of the probability of a successful outcome to the probability of losing the whole amount, we get: - For the first room = 1.7 - For the second room = 20370 You know, I like the second room better. This mental experiment reflects my approach to investing in stocks. The first room is an example of a strategy where you try to find the perfect entry point - to buy at a price below which the stock will not fall. The second room reflects an approach where you're not chasing a specific price level, but thinking in price ranges. In both cases, you'll have plenty of attempts, but in the first room, the risk of losing everything is much greater than in the second room. Now let me show you my target, ⁣ which is a visual interpretation of the Rainbow Indicator. It also hangs on the wall, in absolute darkness, and only becomes visible after I have used all the darts. Before the game starts, I announce the color where I want to go. The probability of hitting decreases from blue to green, and then to orange and red. That is, the smaller the color area, the less likely it is to successfully hit the selected color. However, the size of the reward also increases according to the same principle - the smaller the area of ​​color, the greater the reward. Throwing a dart is an attempt to close a position with a profit. Hitting the selected color is a position closed with a profit. Missing the selected color means the position is closed at a loss. Now imagine that in the absolutely dark room where I am, I have a flashlight. Thanks to it, I have the opportunity to see in which part of the wall the target is located. This gives me a significant advantage because now I throw darts not blindly, but with a precise understanding of where I am aiming. Light shining on the wall increases the probability of a successful outcome, which can also be estimated using the Bernoulli formula. Let's say I have 100 darts in my hands, that is, one hundred attempts to hit the chosen target. The probability of a dart hitting a red target (without the help of a flashlight) is 10%, and with the help of a flashlight, for example, 15%. That is, my ability to throw darts improves the probability of hitting the target by 5%. For hitting the red target, I get $100, and for each throw I pay $10. In this case, the probability of hitting the red target ten or more times is 94.49% (out of 100%) versus 55% (out of 100%) without a flashlight. In other words, under these game conditions and the assumptions made, if I try all 100 darts, the probability of recouping all my expenses will be 94.49% if I aim only at the red target. In my decision-making system, such a "flashlight" is the Fundamental strength indicator, dynamics of cash flows, the P/E ratio and the absence of critical news. And the darts set (target and darts) is a metaphor for the Rainbow Indicator. However, please note that all probabilities of positive outcomes are assumptions and are provided only for the purpose of example and understanding of the approach I have chosen. Stocks of public companies are not a guaranteed income instrument, nor are any indicators associated with them. Part 2: Margin of safety The idea to create the Rainbow Indicator came to me thanks to the concept of "margin of safety" coined by the father of value investing, Benjamin Graham. According to his idea, it is reasonable to buy shares of a company only when the price offered by the market is lower than the "intrinsic value" calculated based on financial statements. The value of this difference is the "margin of safety". At the same time, the indicator does not copy Graham's idea but develops it relying on my own methodology. So, according to Graham, the "margin of safety" is a good discount to the intrinsic value of the company. That is, if a company's stock is trading at prices that are well below the company's intrinsic value (on a per-share basis), it's a good opportunity to consider buying it. In this case, you will have a certain margin of safety in case the company is in financial distress and its stock price goes down. Accordingly, the greater the discount, the better. When it comes to the intrinsic value of a company, there are many approaches to determining it - from calculating the Price-to-book value financial ratio to the discounted cash flow method. As for my approach, I don’t try to find the coveted intrinsic value/cost, but I try to understand how fundamentally strong the company in front of me is, and how many years it will take to pay off my investment in it. To decide to buy shares, I use the following sequence of actions: - Determining fundamental strength of a company and analysis of cash flows using the Fundamental Strength Indicator. - Analysis of the recoupment period of investments using P/E ratio . - Analysis of critical news . - Analysis of the current price using Rainbow Indicator. To decide to sell shares, I use: - Analysis of the current price using Rainbow Indicator. - Or The Rule of Replacement of Stocks in a Portfolio . - Or Force majeure Position Closing Rule . Thus, the Rainbow indicator is always used in tandem with other indicators and analysis methods when buying stocks. However, in the case of selling previously purchased shares, I can only use the Rainbow indicator or one of the rules that I will discuss below. Next, we will consider the methodology for calculating the Rainbow Indicator. Indicator calculation methodology The Rainbow indicator starts with a simple moving average of one year (this is the thick red line in the center). Hereinafter, a year will mean the last 252 trading days. Applying a moving average of this length - is a good way to smooth out sharp price fluctuations which can happen during a year as much as possible, keeping the trend direction as much as possible. Thus, the moving average becomes for me the center of fluctuations of the imaginary pendulum of the market price. Then the deviations are calculated from the center of fluctuations. To achieve this, a certain number of earnings per share is subtracted from and added to the moving average. This is the diluted EPS of the last year. Deviations with a "-" sign from the Lower Rainbow of four colors: - The Blue Spectrum of the Lower Rainbow begins with a deflection of -4 EPS and ends with a deflection of -8 EPS. - The Green Spectrum of the Lower Rainbow begins with a deflection of -8 EPS and ends with a deflection of -16 EPS. - The Orange Spectrum of the Lower Rainbow begins with a deflection of -16 EPS and ends with a deflection of -32 EPS. - The Red Spectrum of the Lower Rainbow begins with a deflection of -32 EPS and goes to infinity. The Lower Rainbow is used to determine the price ranges that can be considered for buying stocks. It is in the spectra of the Lower Rainbow that the very "margin of safety" according to my methodology is located. The Lower Rainbow has the boundaries between the spectra as a solid line . And only the Red Spectrum of the Lower Rainbow has only one boundary. Deviations with a "+" sign from the Upper Rainbow of four similar colors: - The Red Spectrum of the Upper Rainbow begins with a deflection of 0 EPS and ends with a deflection of +4 EPS. - The Orange Spectrum of the Upper Rainbow begins with a deflection of +4 EPS and ends with a deflection of +8 EPS. - The Green Spectrum top rainbow begins with a deflection of +8 EPS and ends with a deflection of +16 EPS. - The Blue Spectrum of the Upper Rainbow begins with a deflection of +16 EPS and goes to infinity. The Upper Rainbow is used to determine the price ranges that can be considered for selling stocks already purchased. The top rainbow has boundaries between the spectra in the form of crosses . And only the Blue Spectrum of the Upper Rainbow has only one boundary. The presence of the Empty Area (the size of 4 EPS) above the Lower Rainbow creates some asymmetry between the two rainbows - the Lower Rainbow looks wider than the Upper Rainbow. This asymmetry is deliberate because the market tends to fall much faster and deeper than it grows . Therefore, a wider Lower Rainbow is conducive to buying stocks at a good discount during a period of massive "sell-offs". The situation when the Lower Rainbow is below the center of fluctuations (the thick red line) and the Upper Rainbow is above the center of fluctuations is called an Obverse . It is only possible to buy a stock in an Obverse situation. The situation when the Lower Rainbow is above the center of fluctuations and the Upper Rainbow is below the center of fluctuations is called Reverse . In this situation, the stock cannot be considered for purchase , according to my approach. Selling a previously purchased stock is possible in both situations: Reverse and Obverse. After loading the indicator, you can see a hint next to the closing price - Reverse or Obverse now. Because the size of the deviation from the center of fluctuation depends on the size of the diluted EPS, several important conclusions can be made: - The increase in the width of both rainbows in the Obverse situation tells me about the growth of profits in the companies. - The decrease in the width of both rainbows in the Obverse situation tells me about a decrease in profits in the companies. - The increase in the width of both rainbows in the Reverse situation tells me about the growth of losses in the companies. - The decrease in the width of both rainbows in the Reverse situation tells me about the decrease in losses in the companies. - The higher the company's level of profit, the larger my "margin of safety" should be. This will provide the necessary margin of safety in the event of a transition to a cycle of declining financial results. The corresponding width of the Lower Rainbow will just create this "reserve". - The growth in profit in the company (after buying its shares) will allow me to stay in the position longer due to the expansion of the Upper Rainbow. - A decrease in profit in the company (after buying its shares) will allow me to close the position faster due to the narrowing of the Upper Rainbow. So the Rainbow indicator shows me a price range that can be considered for purchase if all the necessary conditions are met. By being in this price range, my investment will have a certain margin of safety or "margin of safety." It will also tell me when to exit a stock position based on the company's earnings analysis. Part 3: Crazy Mr. Market The Fundamental strength of a company influences the long-term price performance of its shares. This is a thesis that I believe in and use in my work. A company that does not live in debt and quickly converts its goods or services into money will be appreciated by the market. This all sounds good, you say, but what should an investor do who needs to decide here and now? Moreover, one has to act in conditions of constant changes in market sentiment. Current talk about the company's excellent prospects can be replaced by a pessimistic view of it literally the next day. Therefore, the stock price chart of any companies, regardless of its fundamental strength, can resemble the chaotic drawings of preschool children. Working with such uncertainty required me to develop my own attitude towards it. Benjamin Graham's idea of market madness was of invaluable help to me in this. Imagine that the market is your business partner, "Mr. Market". Every day, he comes to your office to check in and offer you a deal with shares of your mutual companies. Sometimes he wants to buy your share, sometimes he intends to sell his. And each time he offers a price at random, relying only on his intuition. When he is in a panic and afraid of everything, he wants to get rid of his shares. When he feels euphoria and blind faith in the future, he wants to buy your share. This is how crazy your partner is. Why is he acting like this? According to Graham, this is how all investors behave who do not understand the real value/cost of what they own. They jump from side to side and do it with the regularity of a "maniac" every day. The smart investor's job is to understand the fundamental value of your business and just wait for the next visit from crazy Mr. Market. If he panics and offers to buy his stocks at a surprisingly low price, take them and wish him luck. If he begs you to sell him stocks and quotes an unusually high price, sell them and wish him luck. The Rainbow indicator is used to evaluate these two poles. Now let's look at the conditions of opening and closing a position according to the indicator. So, the Lower Rainbow has four differently colored spectra: blue, green, orange, and red. Each one highlights the desired range of prices acceptable for buying in an Obverse situation. The Blue Spectrum is upper regarding the Green Spectrum, and the Green Spectrum is lower regarding the Blue Spectrum, etc. - If the current price is in the Blue Spectrum of the Lower Rainbow, that is a reason to consider that company for buying the first portion (*) of the stock. - If the current price has fallen below (into the Green Spectrum of the Lower Rainbow), that is a reason to consider this company to buy a second portion of the stock. - If the current price has fallen below (into the Orange Spectrum of the Lower Rainbow), it is a reason to consider this company to buy a third portion of the stock. - If the current price has fallen below (into the Red Spectrum of the Lower Rainbow), that is a reason to consider that company to buy a fourth portion of the stock. (*) The logic of the Rainbow Indicator implies that no more than 4 portions of one company's stock can be purchased. One portion refers to the number of shares you can consider buying at the current price (depending on your account size and personal diversification ratio - see information below). The Upper Rainbow also has four differently colored spectra: blue, green, orange, and red. Each of them highlights the appropriate range of prices acceptable for closing an open position. - If the current price is in the Red Spectrum of the Upper Rainbow, I close one portion of an open position bought in the Red Spectrum of the Lower Rainbow. - If the current price is in the Orange Spectrum of the Upper Rainbow, I close one portion of an open position bought in the Orange Spectrum of the Lower Rainbow. - If the current price is in the Green Spectrum of the Upper Rainbow, I close one portion of an open position bought in the Green Spectrum of the Lower Rainbow. - If the current price is in the Blue Spectrum of the Upper Rainbow, I close one portion of an open position bought in the Blue Spectrum of the Lower Rainbow. This position-closing logic applies to both the Obverse and Reverse situations. In both cases, the position is closed in portions in four steps. However, there are 3 exceptions to this rule when it is possible to close an entire position in whole rather than in parts: 1. If there is a Reverse situation and the current price is above the thick red line. 2.if I decide to invest in another company and I do not have enough free finances to purchase the required number of shares (Portfolio Replacement Rule). 3. If I learn of events that pose a real threat to the continued existence of the companies (for example, filing for bankruptcy), I can close the position earlier, without waiting for the price to fall into the corresponding Upper Rainbow spectrum (Force majeure Position Closing Rule). So, the basic scenario of opening and closing a position assumes the gradual purchase of shares in 4 stages and their gradual sale in 4 stages. However, there is a situation where one of the stages is skipped in the case of buying shares and in the case of selling them. For example, because the Fundamental Strength Indicator and the P/E ratio became acceptable for me only at a certain stage (spectrum) or the moment was missed for a transaction due to technical reasons. In such cases, I buy or sell more than one portion of a stock in the spectrum I am in. The number of additional portions will depend on the number of missed spectra. For example, if I have no position in the stock of the company in question, all conditions for buying the stock have been met, and the current price is in the Orange Spectrum of the Lower Rainbow, I can buy three portions of the stock at once (for the Blue, Green, and Orange Spectrum). I will sell these three portions in the corresponding Upper Rainbow spectra (orange, green, and blue). However, if, for some reason, the Orange Spectrum of the Upper Rainbow was missed, and the current price is in the Green Spectrum - I will sell two portions of the three (in the Green Spectrum). I will sell the last, third portion only when the price reaches the Blue Spectrum of the Upper Rainbow. The table also contains additional information in the form of the current value of the company's market capitalization and P/E ratio. This allows me to use these two indicators within one indicator. Returning to the madness of the market, I would like to mention that this is a reality that cannot be fought, but can be used to achieve results. To get a sense of this, I will give an example of one of the stereotypes of an investor who uses fundamental analysis in his work.His thinking might be: If I valued a company on its financial performance and bought it, then I should stay in the position long enough to justify my expenses of analysis. In this way, the investor deliberately deprives himself of flexibility in decision-making. He will be completely at a loss if the financial performance starts to deteriorate rapidly and the stock price starts to decline rapidly. It is surprising that the same condition will occur in the case of a rapid upward price movement. The investor will torment himself with the question "what to do?" because I just bought stocks of this company, expecting to hold them for the long term. It is at moments like these that I'm aware of the value of the Rainbow Indicator. If it is not a force majeure or a Reverse situation, I just wait until the price reaches the Upper Rainbow. Thus, I can close the position in a year, in a month or in a few weeks. I don't have a goal to hold an open position for a long time, but I do have a goal to constantly adhere to the chosen investment strategy. Part 4: Diversification Ratio If the price is in the Lower Rainbow range and all other criteria are met, it is a good time to ask yourself, "How many shares to buy?" To answer this question, I need to understand how many companies I plan to invest in. Here I adhere to the principle of diversification - that is, distributing investments between the shares of several companies. What is this for? To reduce the impact of any company on the portfolio as a whole. Remember the old saying: don't put all your eggs in one basket. Like baskets, stocks can fall and companies can file for bankruptcy and leave the exchange. In this regard, diversification is a way to avoid losing capital due to investing in only one company. How do I determine the minimum number of companies for a portfolio? This amount depends on my attitude towards the capital that I will use to invest in stocks. If I accept the risk of losing 100% of my capital, then I can only invest in one company. It can be said that in this case there is no diversification. If I accept the risk of losing 50% of my capital, then I should invest in at least two companies, and so on. I just divide 100% by the percentage of capital that I can safely lose. The resulting number, rounded to the nearest whole number, is the minimum number of companies for my portfolio. As for the maximum value, it is also easy to determine. To achieve this, you need to multiply the minimum number of companies by four (this is how many spectra the Lower or Upper Rainbow of the indicator contains). How many companies I end up with in my portfolio will depend on from this set of factors. However, this amount will always fluctuate between the minimum and maximum, calculated according to the principle described above. I call the maximum possible number of companies in a portfolio the diversification coefficient. It is this coefficient that is involved in calculating the number of shares needed to be purchased in a particular spectrum of the Lower Rainbow. How does this work? Let's go to the indicator settings and fill in the necessary fields for the calculation. + Cash in - Cash out +/- Closed Profit/Loss + Dividends - Fees - Taxes +Cash in - the number of finances deposited into my account -Cash out - the number of finances withdrawn from my account +/-Closed Profit/Loss - profit or loss on closed positions +Dividends - dividends received on the account -Fees - broker and exchange commission -Taxes - taxes debited from the account Diversification coefficient The diversification coefficient determines how diversified I want my portfolio to be. For example, a diversification coefficient of 20 means that I plan to buy 20 share portions of different companies, but no more than 4 portions per company (based on the number of Lower Rainbow spectra). The cost of purchased shares of this company (fees excluded) Here, I specify the amount of already purchased shares of the company in question in the currency of my portfolio. For example, if at this point, I have purchased 1000 shares at $300 per share, and my portfolio is expressed in $, I enter - $300,000. The cost of all purchased shares in the portfolio (fees excluded) Here, I enter the amount of all purchased shares for all companies in the currency of my portfolio (without commissions spent on the purchase). This is necessary to determine the amount of available funds available to purchase shares. After entering all the necessary data, I move on to the checkbox, by checking which I confirm that the company in question has successfully passed all preliminary stages of analysis (Fundamental strength indicator, P/E ratio, critical news). Without the check, the calculation is not performed. This is done intentionally because the use of the Rainbow Indicator for the purpose of purchasing shares is possible only after passing all the preliminary stages. Next, I click "Ok" and get the calculation in the form of a table on the left. Market Capitalization The value of a company's market capitalization, expressed in the currency of its stock price. Price / EPS Diluted Current value of the P/E ratio. Free cash in portfolio This is the amount of free cash available to purchase stocks. Please note that the price of the stock and the funds in your portfolio must be denominated in the same currency. On TradingView, you can choose which currency to display the stock price in. Cash amount for one portion The amount of cash needed to buy one portion of a stock. This depends on the diversification ratio entered. If you divide this value + Cash in - Cash out +/- Closed Profit/Loss + Dividends - Fees - Taxes by the diversification coefficient, you get Cash amount for one portion . Potential portions amount Number of portions, available for purchase at the current price. It can be a fractional number. Cash amount to buy The amount of cash needed to buy portions available for purchase at the current price. Shares amount to buy Number of shares in portions available for purchase at the current price. Thus, the diversification ratio is a significant parameter of my stocks' investment strategy. It shows both the limit on the number of companies and the limit on the number of portions for the portfolio. It also participates in calculating the number of finances and shares to purchase at the current price level. Changing the diversification coefficient is possible already during the process of investing in stocks. If my capital ( + Cash in - Cash out +/- Closed Profit/Loss + Dividends - Fees - Taxes ) has changed significantly (by more than Cash amount for one portion ), I always ask myself the same question: "What risk (as a percentage of capital) is acceptable for me now?" If the answer involves a change in the minimum number of companies in the portfolio, then the diversification ratio will also be recalculated. Therefore, the number of finances needed to purchase one portion will also change. We can say that the diversification ratio controls the distribution of finances among my investments. Part 5: Prioritization and Exceptions to the Rainbow Indicator Rules When analyzing a company and its stock price using the Fundamental Strength Indicator and the Rainbow Indicator, a situation may arise where all the conditions for buying are met in two or more companies. At the same time, ⁣ Free cash in the portfolio does not allow me to purchase the required number of portions from different companies. In that case, I need to decide which companies I will give priority to. To decide, I follow the following rules: 1. Priority is given to companies from the top-tier sector group (how these groups are defined is explained in this article ). That is, the first group prevails over the second, and the second over the third. These companies must also meet the purchase criteria described in Part 2. 2. If after applying the first rule, two or more companies have received priority, I look at the value of the Fundamental Strength Indicator. Priority is given to companies that have a fundamental strength of 8 points or higher. They must also be within two points of the leader in terms of fundamental strength. For example, if a leader has a fundamental strength of 12 points, then the range under consideration will be from 12 to 10 points. 3. If, after applying the second rule, two or more companies received priority, I look at which spectrum of the Lower Rainbow the current price of these companies is in. If a company's stock price is on the lower end of the spectrum, I give it priority. 4. If, after applying the third rule, two or more companies have received priority, I look at the P/E ratio. The Company with the lower P/E ratio gets priority. After applying these four rules, I get the company with the highest priority. This is the company that wins the fight for my investment. To figure out the next priority to buy, I repeat this process over and over again to use up all the money I have allocated for investing in stocks. The second part of the guide mentioned two rules that I use when deciding whether to close positions: - The Rule for replacing shares in a portfolio. - Force majeure position closure Rule. They take priority over the Rainbow Indicator. This means that the position may be closed even if the Rainbow indicator does not signal this. Let's consider each rule separately. Portfolio stock replacement Rule Since company stocks are not an asset with a guaranteed return, I can get into a situation where the position is open for a long time without an acceptable financial result. That is, the price of the company's shares is not growing, and the Rainbow indicator does not signal the need to sell shares. In this case, I can replace the problematic companies with a new one. The criteria for a problem company are: - 3 months have passed since the position was opened. - Fundamental strength below 5 points. - The width of both rainbows decreased during the period of holding the position. To identify a new company that will take the place of the problematic one, I use the prioritization principle from this section. At the same time, I always consider this possibility as an option. The thing is that frequently replacing stocks in my portfolio is not a priority for me and is seen as a negative action. A new company would have to have really outstanding parameters for me to take advantage of this option. Force majeure position closure Rule If my portfolio contains stocks of a company that has critical news, then I can close the position without using the Rainbow Indicator. How to determine whether this news is critical or not is described in this article . Part 6: Examples of using the indicator Let’s consider the situation with NVIDIA Corporation stock (ticker - NVDA). September 02, 2022: Fundamental Strength Indicator - 11.46 (fundamentally strong company). P/E - 39.58 (acceptable to me). Current price - $136.47 (is in the Orange Spectrum of the Lower Rainbow). Situation - Obverse. There is no critical news for the company. The basic conditions for buying this company's stock are met. The Rainbow Indicator settings are filled out as follows: The table to the left of the Rainbow Indicator shows how many shares are possible to buy in the Orange Spectrum of Lower Rainbow at the current price = 10 shares. This corresponds to 2.73 portions. To give you an example, I buy 10 shares of NVDA at $136.47 per share. October 14, 2022: NVDA's stock price has moved into the Red Spectrum of the Lower Rainbow. The Fundamental Strength Indicator is 10.81 (fundamentally strong company). P/E is 35.80 (an acceptable level for me). Current price - $112.27 (is in the Red Spectrum of the Lower Rainbow). Situation - Obverse. There is no critical news for the company. The basic conditions for buying this company's stock are still met. The Rainbow Indicator settings are populated as follows: The table to the left of the Rainbow Indicator shows how many shares are possible to buy in the Lower Rainbow Red Spectrum at the current price (5 shares). This corresponds to 1.12 portions. To give you an example, I buy 5 shares of NVDA at $112.27 per share. A total of 3.85 portions were purchased, which is the maximum possible number of portions at the current price level. The remainder in the form of 0.15 portions can be purchased only at a price level below $75 per share. January 23, 2023: The price of NVDA stock passes through the Red Spectrum of the Upper Rainbow and stops in the Orange Spectrum. As an example, I sell 5 shares bought in the Red Spectrum of the Lower Rainbow, for example at $180 per share (+60%). And also a third of the shares bought in the Orange Spectrum, 3 shares out of 10, for example at $190 a share (+39%). That leaves me with 7 shares. January 27, 2023: NVDA's stock price has continued to rise and has moved into the Green Spectrum of the Upper Rainbow. This is a reason to close some of the remaining 7 shares. I divide the 7 shares by 2 and round up to a whole number - that's 4 shares. For my example, I sell 4 shares at $199 a share (+46%). Now I am left with 3 shares of stock. February 02, 2023: The price of NVDA stock moves into the Blue Spectrum of the Upper Rainbow, and I close the remaining 3 shares, for example, at $216 per share (+58%). The entire position in NVDA stock is closed. As you can see, the Fundamental Strength Indicator and the P/E ratio were not used in the process of closing the position. Decisions were made only based on the Rainbow Indicator. As another example, let's look at the situation with the shares of Papa Johns International, Inc. (ticker PZZA). November 01, 2017: Fundamental Strength Indicator - 13.22 points (fundamentally strong company). P/E - 21.64 (acceptable to me). Current price - $62.26 (is in the Blue Spectrum of the Lower Rainbow). Situation - Obverse. There is no critical news for the company. The basic conditions for buying shares of this company are met. The settings of the Rainbow Indicator are filled as follows: The table to the left of the Rainbow Indicator shows how many shares are possible to buy in the Lower Rainbow Blue Spectrum at the current price - 8 shares. This corresponds to 1 portion. To give you an example, I buy 8 shares of PZZA at a price of $62.26. August 8, 2018: PZZA's share price has moved into the Green Spectrum of the Lower Rainbow. The Fundamental Strength Indicator is a 9.83 (fundamentally strong company). P/E is 16.07 (an acceptable level for me). Current price - $38.94 (is in the Green Spectrum of the Lower Rainbow). Situation - Obverse. There is no critical news for the company. The basic conditions for buying shares of this company are still met. The Rainbow Indicator settings are populated as follows: The table to the left of the Rainbow Indicator shows how many shares are possible to buy in the Lower Rainbow Green Spectrum at the current price - 12 shares. This corresponds to 0.93 portions. To give you an example, I buy 12 shares of PZZA at a price of $38.94. A total of 1.93 portions were purchased. October 31, 2018: PZZA's stock price moves into the Upper Rainbow Red Spectrum and is $54.54 per share. Since I did not have any portions purchased in the Lower Rainbow Red Spectrum, there is no closing part of the position. February 01, 2019: After a significant decline, PZZA's stock price moves into the Orange Spectrum of the Lower Rainbow at $38.51 per share. However, I am not taking any action because the company's Fundamental Strength on this day is 5.02 (a fundamentally mediocre company). March 27, 2019: PZZA's stock price passes the green and Blue Spectrum of the Upper Rainbow. This allowed to close the previously purchased 12 shares, for example, at $50 a share (+28%) and 8 shares at $50.38 a share (-19%). Closing the entire position at once was facilitated by a significant narrowing in both rainbows. As we now know, this indicates a decline in earnings at the company. In conclusion of this instruction, I would like to remind you once again that any investment is associated with risk. Therefore, make sure that you understand all the nuances of the indicators before using them. Mandatory requirements for using the indicator: - Works only on a daily timeframe. - The indicator is only applicable to shares of public companies. - Quarterly income statements for the last year are required. - An acceptable for your P/E ratio is required to consider the company's stock for purchase. - The Rainbow Indicator only applies in tandem with the Fundamental Strength Indicator. To consider a company's stock for purchase, you need confirmation that the company is fundamentally strong. What is the value of the Rainbow Indicator? - Clearly demonstrates a company's profit and loss dynamics. - Shows the price ranges that can be used to open and close a position. - Considers the principle of gradual increase and decrease in a position. - Allows calculating the number of shares to be purchased. - Shows the current value of the P/E ratio. - Shows the current capitalization of the company. Risk disclaimer When working with the Rainbow Indicator, keep in mind that the release of the Income statement (from which diluted EPS is derived) occurs some time after the end of the fiscal quarter. This means that the new relevant data for the calculation will only appear after the publication of the new statement. In this regard, there may be a significant change in the Rainbow Indicator after the publication of the new statement. The magnitude of this change will depend on both the content of the new statement and the number of days between the end of the financial quarter and the publication date of the statement. Before the publication date of the new statement, the latest actual data will be used for the calculations. Also, once again, please note that the Rainbow Indicator can only be used in tandem with the Fundamental Strength Indicator and the P/E ratio. Without these additional filters, the Rainbow Indicator loses its intended meaning. The Rainbow Indicator allows you to determine the price ranges for opening and closing a position gradually, based on available data and the methodology I created. You can also use it to calculate the number of shares you can consider buying, considering the position you already have. However, this Indicator and/or its description and examples cannot be used as the sole reason for buying or selling stocks or for any other action or inaction related to stocks.
NASDAQ:NVDAEducation
by Be_Capy
Hidden Risk: How to Uncover and Control Before You Click 'Buy'As seasoned traders, we understand that risk management isn't just a beginner's concept; it's the bedrock of sustainable profitability. We've moved beyond the rudimentary rules and are fluent in position sizing and stop-loss orders. But in the dynamic landscape of TradingView, where opportunities arise and vanish in the blink of an eye, even intermediate traders can fall prey to impulsive decisions that erode our hard-earned capital. The solution? Systematizing our risk assessment with a pre-trade risk profile. It isn't about reinventing the wheel but refining our approach to ensure that every trade aligns with our overall strategy and risk tolerance. It gives us an edge by keeping us disciplined. The Pitfalls of Complacency It's easy to become complacent when we've got a few winning trades under our belt. We start to feel invincible precisely when we're most vulnerable. We might skip steps, loosen our stop-losses, or increase our position sizes beyond our predefined limits. We are often driven by emotions rather than logic, and it's a slippery slope. Remember, even a well-defined risk management plan is useless if it's not consistently applied. Each trade carries unique risks influenced by factors beyond our standard calculations. Creating a Pre-Trade Risk Profile: A Refresher Before hitting that buy or sell button, click on TradingView to create a simple risk profile for the specific trade. Ask yourself a series of critical questions: 1. The Asset's Volatility: What's the current Average True Range (ATR)? How does it compare to the asset's historical ATR? Higher volatility demands wider stop-losses and potentially smaller position sizes. Are there any upcoming news events or economic releases that could impact volatility? Factor these in, as they can significantly alter the risk landscape. Be aware of, for instance, earning reports. 2. The Trade Setup: What's your entry point, and why? Is it based on an explicit technical signal, or are you chasing a move? Where's your stop-loss, and what is your rationale behind it? Is it placed below a key support level or based on a multiple of the ATR? What's your target price, and is it realistically achievable given the current market conditions? Avoid setting overly ambitious targets that expose you to unnecessary risk. 3. The Correlation Factor: How does this asset correlate with other positions in your portfolio? Are you inadvertently increasing your exposure to a specific sector or market trend? Could a single event trigger losses across multiple positions? Diversification is key, but it requires careful consideration of correlations. 4. The Time Factor: What's your intended holding period for this trade? The longer the timeframe, the greater the potential for unforeseen events to impact your position. Does your stop-loss need to be adjusted based on the timeframe? A wider stop-loss than a day trade might be necessary for a swing trade. 5. The "Gut Check": Are you comfortable with the potential loss on this trade? If the answer is no, it's a red flag. Either reduce your position size or reconsider the trade altogether. Are you trading based on a well-defined plan, or are emotions driving your decision? Be honest with yourself. From Profile to Action: Implementing Your Assessment Once you've answered these questions, you have a clearer picture of the trade's risk profile. Use this information to: Fine-tune your position size: Ensure it aligns with your pre-determined risk per trade (e.g., 1-2% of your capital). Set your stop-loss: Place it strategically based on the asset's volatility and your chosen support/resistance levels. Determine your risk/reward ratio: Is the potential profit worth your risk? Aim for at least a 1:2 or 1:3 risk/reward ratio. Bonus Tip: Develop Your Risk Score System Consider creating a simple risk score system to streamline your risk assessment further. Assign points to different risk factors based on their potential impact. For example, here is the Trade Impact Estimator (T.I.E): Volatility: Low Volatility (Below Average ATR): +1 point Average Volatility (Within Average ATR): 0 points High Volatility (Above Average ATR): -1 point News Events: Major News Event Scheduled: -2 points Minor News Event: -1 point No News Event: +1 Point Correlation: High Correlation with Existing Positions: -1 point Low Correlation: +1 point Timeframe: Day Trade: +1 point Swing Trade: 0 points Long-Term Trade: -1 point Trade setup: Good Risk/reward ratio: +1 point Neutral Risk/Reward ratio: 0 points Bad Risk/Reward ratio: -2 points Set Thresholds: Total Score of +3 or higher: Potentially a lower-risk trade, consider proceeding as planned. Total Score between 0 and +2: Proceed cautiously; consider reducing position size. Total Score of -1 or lower: Re-evaluate the trade, widen your stop-loss, significantly reduce position size, or avoid the trade altogether. Disclaimer: This is a simplified example. You can customize your risk score system to include additional factors and adjust the point values based on your own trading style and risk tolerance. You can also assign more points to factors that have historically impacted your trading results. It's crucial to backtest and refine your system over time. The Takeaway Mastering risk management is a continuous journey. By incorporating a pre-trade risk profile into our routine, we elevate our trading from reactive to proactive. We transform ourselves from gamblers to calculated risk-takers. On TradingView, where information flows ceaselessly, this disciplined approach is not just an advantage; it's a necessity. So, refine your process, stay vigilant, and make your trades profitable.
COINBASE:ETHUSDEducation
by hydtie
Common Mistakes in Forex Trading: How to Avoid ThemForex trading is the largest and most liquid market in the world, but precisely because of this, it is also one of the most complex and challenging. Many traders, especially beginners, often make mistakes that can jeopardize their profits or even wipe out their capital. However, with proper planning and greater awareness, it is possible to avoid the most common pitfalls and build a successful trading career. In this guide, we will explore the 10 most frequent mistakes in Forex trading and provide concrete strategies to overcome them. 1. Not Having a Trading Plan A trading plan is essential for any trader. Without a clear plan, it is easy to get carried away by emotions, make impulsive decisions, and lose money. An effective trading plan should include: Trading goals: Decide how much you want to earn and within what timeframe. Risk tolerance: How much are you willing to lose in a single trade? Entry and exit rules: Set criteria for opening and closing a position. Capital management strategy: Determine how much of your capital to invest in each trade. Practical example: if your goal is to earn 10% in a month, the plan should specify how many trades to make, which currency pairs to monitor, and the risk levels for each trade. 2. Inadequate Risk Management A common mistake is risking too much capital in a single trade. This is a fast way to lose all your money. A good rule of thumb is to follow the 1-2% rule, meaning you should not risk more than 1-2% of your capital on a single trade. For example, if you have a capital of €10,000, the maximum risk per trade should be between €100 and €200. This approach allows you to survive a series of consecutive losses without jeopardizing your account. Additionally, it is essential to diversify your trades. Avoid focusing on a single currency pair or a specific strategy to reduce overall risk. 3. Not Setting Stop-Loss Orders Stop-loss is an essential tool to protect your capital. It allows you to limit losses by automatically closing a position when the market moves against you. Many traders, out of fear of closing at a loss, avoid setting stop-loss orders or adjust them incorrectly. This behavior can lead to losses much larger than expected. Effective strategy: Set the stop-loss level based on your trading plan and never change this setting during a trade. For example, if you are trading EUR/USD and your risk level is 50 pips, set the stop-loss 50 pips away from the entry price. 4. Excessive Trading (Overtrading) Overtrading is a common mistake, especially among beginner traders. The desire to "make money quickly" leads many to execute too many trades, often without a clear strategy. Each trade comes with costs, such as spreads or commissions, which can quickly add up and reduce profits. Furthermore, excessive trading increases the risk of making impulsive decisions. How to avoid it: Stick to your trading plan. Take a break after a series of trades, especially if they have been losing trades. Set a daily or weekly limit on the number of trades. 5. Using Too Many Indicators Many traders rely on a multitude of technical indicators, hoping that more information will lead to better decisions. In reality, excessive use of indicators can create confusion and conflicting signals. It is better to choose 2-3 indicators that complement each other. For example: Moving Average to identify trends. RSI (Relative Strength Index) to measure market strength. MACD (Moving Average Convergence Divergence) to identify entry and exit points. 6. Not Understanding Leverage Leverage is a powerful tool that allows traders to control large positions with relatively small capital. However, it can amplify both profits and losses. Many beginner traders use excessive leverage, underestimating the risks. For example, with 1:100 leverage, a small market fluctuation can result in significant losses. Practical advice: Use low leverage, especially if you are a beginner. Start with leverage of 1:10 or 1:20 to limit your risk exposure. 7. Ignoring Economic News Economic and political events have a profound impact on the Forex market. Ignoring the economic calendar is a serious mistake that can lead to unexpected surprises. For example, interest rate decisions, employment data, or monetary policy announcements can cause significant market movements. Strategy: Regularly check an economic calendar. Avoid trading during high-volatility events unless you have a specific strategy for these scenarios. 8. Not Backtesting Strategies Backtesting is the process of testing a strategy on historical data to verify its effectiveness. Many traders skip this step, entering the market with untested strategies. Backtesting allows you to: Identify strengths and weaknesses in your strategy. Build confidence in your trading decisions. There are numerous software and platforms that allow you to perform backtesting. Be sure to test your strategy over a long period and under different market conditions. 9. Uncontrolled Emotions Fear and greed are a trader's worst enemies. Fear can lead you to close a position too early, while greed can make you ignore exit signals. To manage emotions: Establish clear rules for each trade. Take regular breaks from trading. Consider using a trading journal to analyze your decisions and improve emotional control. 10. Not Staying Updated The Forex market is constantly evolving. Strategies that worked in the past may no longer be effective. Not staying updated means falling behind other traders. Tips to stay updated: Read books and articles about Forex. Attend webinars and online courses. Follow experienced traders on social media and trading platforms. Conclusion Avoiding these mistakes is the first step to improving your performance in Forex trading. Remember that success requires time, discipline, and continuous learning. Be patient, learn from your mistakes, and keep refining your skills. Happy trading!
Education
by Andrea_Russo_SwipeUP
41-Day Sentiment mastery missionGM WARRIORS I'm on a mission to master the SuperTrend indicator by testing all 42 combinations of its key settings: Factor, ATR (Average True Range), and Time Periods. Each day, I’ll backtest 50 trades on a new combination to refine a 15-minute day trading system, focusing on trend precision and market sentiment. The combinations include: 21 Factors (2.0 to 4.0 in 0.1 increments). 2 Timeframes (15M and 30M). Goal: Identify the optimal SuperTrend configuration, master early trend reversals, and sharpen market insights within a month. Results will be shared daily via a public sheet and incorporated into my ongoing SuperTrend study. If you’d like updates, let me know, and I’ll tag you in this journey! 📊 Progress Sheet: docs.google.com 📘 SuperTrend Study: docs.google.com
Education
by NickSeversG
What Is the DJIA, and How Can You Trade It?What Is the DJIA, and How Can You Trade It? The Dow Jones Industrial Average (DJIA) is one of the world’s most recognised stock indices, often seen as a barometer for the US economy. Tracking 30 influential companies, the DJIA offers insights into market trends and economic shifts. This article explores what the DJIA represents, how it’s constructed, and how to trade it. Dow Jones Definition The Dow Jones Industrial Average, usually abbreviated to DJIA or DJI, is one of the most well-known stock indices globally, often called simply "the Dow." This index tracks 30 of the publicly traded companies in the US, including major names like Apple, Boeing, and Goldman Sachs. Designed to represent a cross-section of the American economy (although it does not include utilities or transportation companies), the DJIA provides a snapshot of market sentiment and economic health through the performance of these companies. The DJIA was founded in 1896 by Charles Dow and Edward Jones, initially with 12 major industrial companies. Over time, Dow Jones Industrial Average companies evolved to include corporations across diverse sectors, though it's worth noting that these are all large-cap companies, meaning they have substantial market values. Importantly, the Dow is price-weighted, meaning in DJIA, a stock’s price directly affects the index value — stocks with higher prices hold more influence over the index's movements than those with lower prices. So, a stock priced at $300 will impact the DJIA more than one priced at $100, even if the latter company is larger in overall market value. For example, high-priced DJIA stocks like Goldman Sachs or UnitedHealth often drive the index’s movements more than lower-priced yet substantial companies like Cisco. As a result, the index is unique compared to indices weighted by market capitalisation, like the S&P 500. The Dow’s movements can reflect broader market trends, but it provides less of a complete representation of the economy or stock market than the S&P 500 or Russell 2000 since it includes only 30 companies. Nonetheless, traders often look to the Dow Jones index as an indicator of market strength or weakness. When these 30 companies perform well, it often signals broader economic optimism; when they struggle, it can be a sign of potential downturns. Components and Weighting of the DJIA The Dow Jones Industrial Average consists of 30 large-cap US companies across sectors like technology, finance, healthcare, and industrials. Changes to the DJIA’s stocks are rare but do happen when companies no longer reflect the US economic landscape. For instance, a business facing long-term decline may be replaced by a rising industry leader to keep the index relevant. These decisions are made by a committee that aims to ensure the DJIA remains a meaningful snapshot of the economy despite its relatively small roster of companies. What Stocks Are in the Dow Jones? As of November 2024, there are several notable and well-recognised companies in the Dow, including: - Apple Inc. - Microsoft Corporation - Amazon.com Inc. - The Coca-Cola Company - Goldman Sachs Group Inc. - Johnson & Johnson - McDonald's Corporation - Boeing Company - Visa Inc. - Procter & Gamble Co. Factors Affecting the DJIA’s Movements The DJIA can swing up or down due to various factors, reflecting shifts in the economy, company-specific developments, and broader market sentiment. The primary elements driving the index include: - Economic Indicators: Key data releases, like GDP growth, employment reports, and inflation rates, directly impact the DJIA. Strong economic indicators tend to lift the index as they suggest a healthy business environment, while weaker data can pull it down, signalling potential challenges for major companies. - Interest Rates: Interest rate changes, particularly from the Federal Reserve, play a significant role. When rates rise, borrowing becomes more expensive, which can reduce corporate profits and weigh on the Dow Jones Industrial Average’s stocks. Conversely, lower rates often encourage investment and consumer spending, which can boost the index. - Corporate Earnings Reports: Quarterly earnings announcements from the 30 DJIA companies are critical. Positive earnings results can lift the Dow, especially if they beat market expectations and are from one of its pricier components. Conversely, disappointing earnings can drag down the index, especially if they reflect broader industry or sector weaknesses. - Global Events: Major global developments, like geopolitical tensions, trade agreements, or health crises, can quickly shift market sentiment. For instance, the onset of the COVID-19 pandemic caused sharp declines in the DJIA as economic concerns spiked. - Sectoral Influence: The DJIA’s performance can be significantly impacted by trends within particular sectors, especially those with higher-priced stocks. For instance, if several tech companies in the index perform well, they can drive up the DJIA, given their substantial influence. - Market Sentiment: General market optimism or fear often moves the DJIA, influenced by factors like investor confidence, media coverage, and broader economic outlooks. Indicators such as the VIX (volatility index) can help gauge this sentiment and reflect periods of heightened volatility. Trading the DJIA with CFDs While traders have various ways to access the Dow Jones Industrial Average—from ETFs to futures—many prefer trading DJIA Contracts for Difference (CFDs) for their flexibility and accessibility. CFDs allow traders to speculate on the DJIA’s price movements without owning the actual assets in the index. One of the benefits of CFDs is that they enable both long and short positions, so traders can potentially take advantage of rising or falling markets. CFDs also allow for leveraged trading, meaning traders can control a larger position with a smaller upfront investment. However, leverage amplifies both potential returns and risks, making risk management essential when trading CFDs. For those interested in DJIA CFDs, FXOpen provides access to these contracts in our TickTrader platform under the Dow ticker WS30m, giving traders an easy-to-use, responsive way to monitor and trade the index. How Traders Analyse the DJIA Traders use several analysis methods to interpret the DJIA’s movements, aiming to understand trends, gauge sentiment, and identify potential trading opportunities. Some of the most common approaches include: Fundamental Analysis Fundamental analysis involves examining economic data and financial statements of DJIA companies. Traders look at metrics like revenue growth, earnings, and profit margins to gauge the health of the companies within the index. Broader economic indicators, such as unemployment rates or consumer confidence, are also essential in understanding how macroeconomic conditions may impact the Dow. Technical Analysis Many traders rely on technical analysis to spot trends and key price levels. Common tools include moving averages, which smooth out price data to identify direction over time, and support and resistance levels, which highlight areas where the DJIA price has historically paused or reversed. Trendlines help traders visualise the overall direction, and indicators like the Relative Strength Index (RSI) show whether the index might be overbought or oversold. Market Sentiment and Positioning Analysis Gauging the mood of the market is crucial, especially with an index as prominent as the DJIA. Sentiment analysis involves looking at factors like trading volume and indicators such as the VIX (volatility index), which measures market expectations for near-term volatility. It’s also possible to interpret the positioning of traders in DJIA futures (expressed with the DJI ticker YM) via the CFTC Commitment of Traders report for insights into how various market participants are taking positions in the Dow. For instance, if the number of contracts held by non-commercials and speculators is positive, these participants are seen as bullish. Correlation Analysis Traders sometimes analyse correlations between the DJIA and other indices or assets. For example, the DJIA often moves alongside the S&P 500, but these correlations can shift based on economic or sector-specific developments. Through understanding these relationships, traders can anticipate how broader market trends might impact the Dow. Risks Associated with Trading the DJIA Trading the DJIA can be rewarding, but it comes with notable risks. One key risk is market volatility. Events like economic data releases, policy changes, or unexpected global events can cause sharp swings in the Dow’s value, creating opportunities but also increasing the chance of sudden losses. Another risk comes from leverage, especially with derivatives like CFDs. While leverage allows traders to control larger positions with less capital, it amplifies both returns and losses. Even a small adverse movement in the DJIA can lead to significant losses if leveraged positions aren’t managed carefully. Economic sensitivity is another factor. As the DJIA reflects the performance of large US companies, it’s highly sensitive to shifts in economic indicators like inflation and interest rates. A surprise rate hike or economic slowdown can affect the entire index, impacting all traders with positions in the DJIA. Finally, liquidity risks can arise, particularly in after-hours trading when market depth is thinner. This can lead to wider spreads and increased costs for those looking to enter or exit trades outside standard market hours. The Bottom Line The Dow Jones Industrial Average offers valuable insights and trading opportunities for those interested in the broader US economy. With a clear understanding of its components, influencing factors, and trading approaches, traders can navigate the DJIA trading confidently. Ready to get started with our low-cost, high-speed trading environment? Open an FXOpen account and explore DJIA CFDs on a platform built for traders at every level. FAQ What Is the Dow Jones Industrial Average? The Dow Jones meaning refers to a stock market index that tracks 30 large publicly traded companies in the United States. Known simply as "the Dow" and abbreviated to DJIA, it provides a quick view of the economic performance of some of the largest and most influential companies across various sectors. What Does the Dow Jones Measure? The DJIA measures the performance of 30 significant US companies, reflecting broader economic trends and investor sentiment. As a price-weighted index, stocks with higher share prices exert more influence on the Dow’s total value. How Many Stocks Are in the Dow Jones? There are 30 stocks in the DJIA, representing companies from diverse industries like technology, finance, and healthcare. What Is the Highest the Dow Jones Has Been? As of 7 November 2024, the highest Dow Jones ever was $43,823.10, marking a record peak for the index. Is the DJI Publicly Traded? The DJIA itself isn’t publicly traded, but traders can invest in its performance through ETFs, futures, and CFDs that track its value. 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
FXOPEN:WS30MEducation
by FXOpen
1
TRADING WISDOM: 10 KEYS TO SUCCESS IN 2025As we approach 2025, we find ourselves in a dynamic trading landscape, shaped by shifting geopolitical and economic forces. To thrive in this rapidly evolving environment, we need more than just a solid grasp of technical analysis; we must cultivate our mental toughness, sharpen our strategic acumen, and remain adaptable. Whether you’re a beginner or a breakeven trader still searching for consistency, the lessons ahead will empower you to overcome obstacles. Let’s not repeat the mistakes of 2024; instead, let’s embrace new approaches and seize the opportunities that 2025 has to offer. Transform challenges into triumphs and pave the way for a successful trading journey! 📍 1. Let Go of Loyalty In personal relationships, loyalty is a virtue, but in the realm of trading, it can be a double-edged sword. The ability to make unbiased decisions is paramount. Holding onto losing positions out of a sense of loyalty only amplifies your losses and bogs you down in missed opportunities. Cultivate the discipline to exit underperforming trades swiftly and without hesitation. Instead of clinging to past mistakes, turn your energy toward identifying and seizing new trading opportunities. Remember, every moment spent nurturing a losing trade is a moment lost to potential wins. 📍 2. Avoid Absolute Predictions Be cautious with absolute statements regarding market trends, such as “I am certain the BINANCE:BTCUSDT will hit 100,000 next week.” Such declarations not only set you up for disappointment but can also trap you into thinking in rigid terms. Markets are influenced by myriad factors, and expecting them to adhere to a specific trajectory can blind you to changing conditions. Instead, focus on probabilities and possibilities—use terms like "it’s likely" or "there's a possibility" to frame your analysis. This flexible mindset allows you to remain adaptable in the face of uncertainty. 📍 3. Look for Psychological Triggers While technical indicators provide valuable insights, they should not be the sole basis for your trading decisions. Seek out additional psychological triggers that can offer deeper market context. A breakout from a significant resistance level, a sudden price spike, or the emergence of a recognizable pattern can all serve as pivotal signals. Understanding the collective psychology of market participants will enhance your ability to make informed decisions, as similar actions by the majority often reinforce market moves. 📍 4. Focus on Experience, Not Money It's common for novice traders to fixate on the question, “How much money can I make?” This dollar-centric mindset can cloud your judgment and lead to reckless trading. Rather than measuring success by monetary gains, prioritize the development of your trading skills and market understanding. With time and experience, profits will naturally follow. Aim to absorb and interpret the market's signals intuitively; the rewards will come as a byproduct of your enhanced capabilities. 📍 5. Quality Over Quantity Adopt Pareto's principle: "20% of your efforts yield 80% of your results." In trading, this translates to recognizing that quality signals are often rare. Spending excessive time analyzing charts can lead to analysis paralysis and poor outcomes. Instead of chasing after every minor fluctuation, exercise patience. Focus on identifying high-probability setups that align with your trading strategy. It’s better to wait for a handful of quality trades than to engage in rash actions that dilute your effectiveness. 📍 6. Embrace Boredom The cinematic portrayal of trading as a nonstop adrenaline rush often veils the reality: trading can be a rather tedious endeavor. Genuine trading strategies often yield signals only a few times a week or even monthly. Emotional trading born from boredom can lead to hasty decisions and losses. Develop a comfortable discipline that allows you to wait for clear signals without the urgency to act. This patience reflects a professional mindset, where the quality of trades trumps the quantity. 📍 7. Prioritize High-Quality Trades While backtesting can highlight the frequency of profitable trades, it’s crucial to remember that your objective is to focus on high-quality trade setups rather than merely increasing the number of trades. It’s completely acceptable for a few trades to end in losses, provided that your profitable trades yield sufficient gains to cover these losses and then some. Concentrate on refining your strategy to ensure a favorable profit-to-loss ratio over the long term, which is far more important than achieving a high win rate. 📍 8. Maximize Your Profits Your overarching aim is to extract maximum value from each trade. A common misconception among novice traders is that increasing the number of trades will lead to greater profits; however, this approach often results in chaos. Rather than getting swept up in the trading frenzy, focus on identifying strong trends backed by solid fundamentals. Utilize protective measures like trailing stops to safeguard your profits and avoid premature exits. By squeezing the most out of each trade, you ensure that your winning trades significantly outweigh your losses. 📍 9. Understand Risk Management Holistically The saying "risk 2% per trade" can be misleading if taken literally. The real impact of risk varies greatly depending on your account balance and leverage. For instance, a 2% risk on a $1,000 account may seem trivial, but with leverage, that percentage could balloon into a sum that feels much more significant. As you formulate your risk management strategy, consider both the percentage and the actual dollar amount at stake. Understanding the emotional impact of potential losses is essential for maintaining composure during turbulent market conditions. 📍 10. Reject Hope as a Strategy Hope should never be your trading strategy. Relying on the hope that a market reversal will occur or that your latest trade will succeed fosters a dangerous mindset. Effective trading requires strategic calculation, adherence to specific methodologies, and emotional detachment. Approach each trade with a clear plan and execute it consistently, leaving no room for wishful thinking. 📍 Conclusion The foundation of successful trading lies in a blend of experience, knowledge, intuition, and swift decision-making. Profitability is a natural byproduct of mastering these elements, coupled with a healthy approach to risk management and emotional control. As you work to reinforce these principles, you will sharpen your trading acumen and position yourself for lasting success in the dynamic trading environment of 2025 and beyond. Embrace your potential, cultivate your skills, and watch as opportunities unfold before you. Traders, If you liked this educational post🎓, give it a boost 🚀 and drop a comment 📣
Education
by Lingrid
8
Gambling vs Crypto: A Thin Line The world of crypto trading and gambling may seem distinct, but they share striking emotional and behavioral resemblances that blur the line between the two. Both arenas evoke the powerful emotions of greed and fear , which can cloud judgment and lead to devastating financial losses . People often enter with dreams of quick success, only to find themselves trapped in cycles of hope and despair. In both gambling and crypto trading, the lure of fast profits can be overwhelming. The rush of a winning streak in gambling mirrors the exhilaration of catching a rally in a cryptocurrency's price. Conversely, the crushing despair of losing a bet feels eerily similar to watching a crypto investment plummet. This emotional rollercoaster, driven by greed and fear, compels many to make rash decisions, ignoring the risks that come with either activity. Go All In : A key resemblance lies in the tendency to "go all in." In gambling, this might mean betting an entire bankroll on one game or spin. In crypto trading, it translates to investing all savings into a single token or using leverage to multiply potential returns. Leverage , which allows traders to borrow money to amplify their positions, is particularly dangerous. While it can lead to massive profits, it often results in catastrophic losses when trades go wrong. Without proper money management, both gamblers and crypto traders can find themselves wiped out in the blink of an eye. Yet, crypto trading introduces an additional layer of risk that makes it arguably more perilous than gambling. Unlike a casino game where the odds are generally fixed and transparent, the crypto market is rife with uncertainties. Many projects are launched with lofty promises but lack transparency or sound fundamentals. In some cases, unscrupulous teams behind these projects orchestrate " rug pulls ," abruptly vanishing with investors' money. These scams can decimate not just traders' portfolios but also their confidence and dreams. While both gambling and crypto trading involve risks, the unique dangers of the crypto world—amplified by its unregulated nature and the prevalence of scams—make it a minefield for the unwary. The emotional highs and lows, coupled with the absence of safety nets, mean that the thin line separating gambling and crypto trading is often a perilous one. Understanding these risks and maintaining discipline are crucial to avoiding the pitfalls that lie on either side of this line. By Monstalian,
CRYPTOCAP:TOTALEducation
by Monstralian
6
Understanding Fibonacci Retracementtool fans will like this one XD Fibonacci Retracement is a popular technical analysis tool used by traders to identify potential support and resistance levels. Based on the Fibonacci sequence, this tool helps traders predict price pullbacks and continuation levels in trending markets. What is Fibonacci Retracement? Fibonacci Retracement levels are derived from the Fibonacci sequence, a mathematical pattern where each number is the sum of the two preceding ones (e.g., 0, 1, 1, 2, 3, 5, 8, etc.). Key ratios from this sequence, such as 23.6%, 38.2%, 50%, 61.8%, and 100%, are used to indicate potential price reversal or continuation zones. How to Use Fibonacci Retracement 1.Identify a Trend: - In an uptrend: Draw the Fibonacci retracement from the swing low to the swing high. - In a downtrend: Draw the Fibonacci retracement from the swing high to the swing low. 2. Key Levels: -23.6%: Represents shallow pullbacks; usually seen in strong trends. -38.2% and 50%: Common retracement levels where price often consolidates or reverses. -61.8%: Known as the "golden ratio," a significant level for potential reversals. -100%: Indicates a full retracement of the trend. 3. Support and Resistance Zones: - Price may bounce or consolidate near these Fibonacci levels, acting as dynamic support in an uptrend or resistance in a downtrend. How to Interpret Fibonacci Retracement Levels -Reversal Zones: - If the price retraces to a Fibonacci level and then resumes the trend, it confirms the level as significant. - **Breakouts:** - A break above or below a Fibonacci level may signal continuation in the direction of the breakout. Strengths of Fibonacci Retracement -Simple to Use:Visual and straightforward for identifying support and resistance levels. -Widely Applicable:Works across various markets (stocks, forex, crypto, etc.) and timeframes. -Combines with Other Tools:Enhances the effectiveness of indicators like RSI, MACD, and trendlines. Limitations of Fibonacci Retracement -Subjectivity:The placement of swing highs and lows can vary among traders, leading to different retracement levels. -Lagging Nature:Like most technical tools, Fibonacci Retracement relies on past price action and doesn’t predict future movement. -False Signals:Not all retracement levels lead to reversals, especially in volatile or news-driven markets. Best Practices for Using Fibonacci Retracement 1.Combine with Other Indicators: - Use with momentum indicators (e.g., RSI, MACD) or candlestick patterns for stronger confirmation. - Pair with trendlines or moving averages to validate Fibonacci levels. 2.Use Multiple Timeframes: - Analyze Fibonacci levels on higher timeframes for broader trends and lower timeframes for precise entries and exits. 3.Set Realistic Expectations: - Don’t rely solely on Fibonacci levels for decision-making. Use them as part of a broader strategy. Example of Fibonacci Retracement in Action Imagine Bitcoin (BTC) last uptrend movement which I'm showing here, and the price moves from $67,000 to $106,000. After reaching $106,000, the price begins to pull back. By applying the Fibonacci Retracement tool from $67,000 (swing low) to $106,000 (swing high), you can identify key levels at $97,000(23.6%), $91,300 (38.2%), $86,700(50%), and $82,100 (61.8%). If the price retraces to $ 91,300 and bounces upward, this confirms the 38.2% level as strong support. (Green line) (shown on the chart) Conclusion Fibonacci Retracement is a valuable tool for traders seeking to identify potential price reversal zones and continuation points. While it’s easy to use, its accuracy improves when combined with other technical indicators and a thorough understanding of market conditions. Practice drawing Fibonacci levels on historical charts to develop confidence and refine your trading strategy. 👉 Follow me for daily updates, 💬 Comment and like to share your thoughts, 📌 And check the link in my bio for even more resources! Let’s navigate the markets together—join the journey today! 💹✨
Education
by CRYPTONIC_trend
Strategy & New Group Trading ConceptHanging out chatting about next year's trade desk business goals. I'm a firm believer that a good trader is just as valuable as the assets that they trade. Learning how to simplify trading is the first step to building a reliable strategy. There are a few areas of fund management that are hidden from everyday traders because it does not apply to non-financial professionals. For starters I've got this idea to start the 'seaside connection' . I've met many different types of traders. Some of which have profitable strategies, copiers, and some who gamble. What if we found a balance? I have a track for all of these people. The goal is to add more value to your time on the desk. so if your trading 100 - 100,000 does not make a difference. Strats (protected) can be copied without requesting private proprietary information about what & how it works. Purely focused on results. Non-Strats (Train & Trade): Learn how to apply my strategy to markets. Literally, you focus on your market timing, force, and fundamentals. Gamblers: Learn how to protect your punting with risk to reward strategies that reduce your risk or blow up your account in style lol. Just kidding, but you should know that the majority of traders are not trading, they are gambling. I'm not here to turn atheist into believers, but soon enough, the markets will. Investors: You look down on us traders at times. This is okay, because without us you have no one to blame when your 3 month outlook shifts. You need us, because we provide you with near term returns. Our strategies will be packaged in PAMM / MAMM funds for you to take advantage of as a hedge to that longterm underlying position you've got working since last year!
NYMEX:CL1!Education
by moneymagnateash
3
Bullish Rally, followed by a seloff in the afternoonOn the blue C wave targets on the lower right. This is meant to teach EWT elliot wave theory, to give not give trading advice. There is a corresponding Video Idea that goes into more detail. I will update the idea during the day tomorrow. I''m planning on buying with both hands if BITX /BITC go down on a 28" C wave. any rally will be over by the 1 AM Lunchers Idea I shared with the TV community, the idea that the pit Tradeers go out on 3 martin i lunchs, and ater they return they make a move to take reatil money. this is a tiny part of my "Bilderberg Theory" which I have been trading along with Paper, buying at S6 anbd selling at R6, since 2003 with I ;earne from Giget Sune, who i tradee futures with, and David Elliot the number oner stock chart trainer, awarded by the U.S stock Traders Assocition. 2003-2005 >. i rrally appreciate being given the opportunity to share my knowledge. www.tradingview.com BITCUSD / BITX has exactly the same chart.
CME_MINI:ES1!Education
by dryanhawley