Get started

Learning

A Detailed Guide for New Traders!Technical Analysis: A Detailed Guide for New Traders Technical analysis (TA) is a trading method used to evaluate and predict the future price movements of assets like stocks, cryptocurrencies, commodities, or forex, by analyzing past market data, primarily price and volume. It differs from fundamental analysis, which looks at financial metrics like earnings, revenue, and overall economic conditions. For beginners, here’s a breakdown of technical analysis and its essential tools and concepts: 1. Price Charts: The Foundation of TA Price charts are visual representations of an asset’s price over a specific period. There are different types of charts, but the most common are: Line Charts: Show the closing prices over time. Bar Charts: Display the open, high, low, and close prices (OHLC) for each period. Candlestick Charts: Similar to bar charts but more visually intuitive, displaying the same OHLC data with colored “candles” for up or down movements. Candlestick charts are the most popular among traders because they provide more information and are easier to interpret visually. 2. Key Concepts in Technical Analysis a. Trends A trend is the general direction in which the price of an asset is moving. Understanding trends is crucial in technical analysis because traders aim to follow the market’s momentum. There are three types of trends: Uptrend: Prices are generally increasing, making higher highs and higher lows. Downtrend: Prices are decreasing, making lower highs and lower lows. Sideways Trend (Range): Prices move within a specific range without a clear upward or downward direction. b. Support and Resistance Support: A price level where an asset tends to stop falling due to increased buying demand. Resistance: A price level where an asset tends to stop rising due to increased selling pressure. These levels are essential for identifying potential entry and exit points for trades. c. Moving Averages Moving averages (MAs) are a simple way to smooth out price data over a specified time period to identify trends more easily. There are two main types: Simple Moving Average (SMA): The average price over a set number of periods (e.g., 50-day or 200-day SMA). Exponential Moving Average (EMA): Gives more weight to recent prices, making it more responsive to new information. Traders use MAs to determine the overall trend, and crossovers (e.g., when a short-term MA crosses a long-term MA) are often seen as buy or sell signals. 3. Indicators and Oscillators Indicators and oscillators are tools derived from price and volume data to help identify potential trends, reversals, and overbought or oversold conditions. a. Relative Strength Index (RSI) The RSI measures the magnitude of recent price changes to evaluate whether an asset is overbought or oversold. It ranges from 0 to 100: Above 70: Overbought (price might be too high, possible reversal). Below 30: Oversold (price might be too low, possible reversal). b. Moving Average Convergence Divergence (MACD) The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of an asset’s price. It helps traders identify changes in the strength, direction, and momentum of a trend. MACD Line: The difference between the 12-day and 26-day EMA. Signal Line: A 9-day EMA of the MACD Line. Histogram: Shows the difference between the MACD Line and the Signal Line. A crossover between the MACD Line and the Signal Line can signal buying or selling opportunities. c. Bollinger Bands Bollinger Bands consist of a moving average (middle band) and two outer bands that are two standard deviations away from the middle. The bands expand and contract based on market volatility. When the price moves toward the upper band, the asset might be overbought, and when it moves toward the lower band, it might be oversold. 4. Chart Patterns Chart patterns are formations created by the price movement of an asset, and traders use them to predict future price movements. Some common patterns include: Head and Shoulders: A reversal pattern that signals a change from bullish to bearish or vice versa. Triangles (Ascending, Descending, Symmetrical): Continuation patterns that suggest the price will break out in the direction of the current trend. Double Top and Double Bottom: Reversal patterns indicating that the price may reverse its current trend after testing a support or resistance level twice. 5. Volume Analysis Volume refers to the number of shares, contracts, or lots traded during a particular period. It can confirm trends or warn of potential reversals: Rising volume during an uptrend confirms the strength of the trend. Decreasing volume in a rising trend can indicate a weakening trend and potential reversal. Volume spikes often occur at trend reversals. 6. Risk Management No trading strategy is foolproof, and technical analysis is not a crystal ball. To succeed, you must manage your risk: Stop-Loss Orders: Automatically sell a position if the price moves against you by a certain amount, limiting your losses. Risk-Reward Ratio: Determine the amount you're willing to risk for a potential reward. A typical ratio is 1:2, meaning for every $1 risked, you aim to make $2 in profit. Position Sizing: Only risk a small percentage of your total capital (e.g., 1-2%) on a single trade to prevent significant losses. 7. Combining TA with Fundamental Analysis While technical analysis is valuable, many traders combine it with fundamental analysis to get a complete picture. For instance, in the stock market, technical analysis might show that a stock is oversold, but if the company’s fundamentals (earnings, revenue) are strong, it could be a buying opportunity. 8. Conclusion Technical analysis is a powerful tool for traders to predict price movements and make informed trading decisions. However, it requires practice and patience. Start with the basics, use demo accounts to test your skills, and never forget to manage your risk. For beginners, mastering the key concepts like trends, support and resistance, moving averages, and common indicators like RSI and MACD will set you on the path to becoming a successful trader. Like and follow if you found this helpful! #Crypto #Bitcoin #bullrun
Education
by CRYPTOMOJO_TA
2
XAUUSD ANOTHER SETUP IN M30 IS READY | BEAR IN CONTROLHello, everyone! I hope you’re all doing well and ready to dive into today’s trading opportunities. I’m excited to share my analysis on XAUUSD and discuss a potential setup that I believe could be quite rewarding for us. As we assess the current market landscape, it’s clear that xauusd has recently grabbed all buy-side liquidity. This movement indicates a potential shift in market sentiment and opens the door to bearish momentum. With this in mind, I’m considering a short position on xauusd, with my entry point at 2575. Here’s my detailed outlook: Market Analysis: The price action we’ve seen suggests that buyers have exhausted their strength. With liquidity being tapped out, we’re now likely to see sellers take control, pushing prices lower. Historical patterns and current trends support this bearish outlook, making it an opportune moment to capitalize on potential downward movement. Target Levels: For this trade, my first target is set at 2562, and I’m aiming for further downside to around 2548. These levels have shown significant support in the past, and I anticipate they will be crucial in this trading session. Risk Management: To protect our investment, I’m implementing a stop loss at 2595. This provides us with a comfortable buffer, allowing for some market fluctuation while safeguarding our capital. It’s essential to have a clear risk management strategy in place, especially in volatile markets like xauusd. Trade Execution: I encourage everyone to analyze this setup based on your own strategies and risk tolerance. Always ensure that your trade aligns with your overall trading plan. If you’re considering this trade, I recommend staying vigilant and watching for confirmation signals before entering. Community Engagement: I want to take a moment to express my heartfelt gratitude for the incredible support and engagement you’ve shown for my ideas. Your feedback not only motivates me but also enriches our community. If you have insights, alternative perspectives, or questions about this setup—or if there’s anything else on your mind—please share in the comments! I’m eager to discuss and learn from all of you. Looking Ahead: As we navigate today’s trading session, let’s remain focused and adaptable. The markets can change rapidly, and being prepared to adjust our strategies is key to success. Remember, trading is not just about making profits; it’s also about continuous learning and growth as traders. Thank you all once again for being such a fantastic community! Together, let’s make the most of today’s trading opportunities. Here’s to a successful day ahead—let’s aim for those profits! 🚀💰✨ Happy trading, everyone!
CAPITALCOM:GOLDShort
by HouseofProfit
EURUSD 1H TIMEFRAME ANALYSIS | SELL MEAL IS READY WHAT YOU THINKHello, everyone! I hope you’re all doing well and ready to dive into today’s trading opportunities. I’m excited to share my analysis on EURUSD and discuss a potential setup that I believe could be quite rewarding for us. As we assess the current market landscape, it’s clear that eurusd has recently grabbed all buy-side liquidity. This movement indicates a potential shift in market sentiment and opens the door to bearish momentum. With this in mind, I’m considering a short position on eurusd, with my entry point at 1.11800. Here’s my detailed outlook: Market Analysis: The price action we’ve seen suggests that buyers have exhausted their strength. With liquidity being tapped out, we’re now likely to see sellers take control, pushing prices lower. Historical patterns and current trends support this bearish outlook, making it an opportune moment to capitalize on potential downward movement. Target Levels: For this trade, my first target is set at 1.11450, and I’m aiming for further downside to around 1.11150. These levels have shown significant support in the past, and I anticipate they will be crucial in this trading session. Risk Management: To protect our investment, I’m implementing a stop loss at 1.12200. This provides us with a comfortable 30-pip buffer, allowing for some market fluctuation while safeguarding our capital. It’s essential to have a clear risk management strategy in place, especially in volatile markets like eurusd. Trade Execution: I encourage everyone to analyze this setup based on your own strategies and risk tolerance. Always ensure that your trade aligns with your overall trading plan. If you’re considering this trade, I recommend staying vigilant and watching for confirmation signals before entering. Community Engagement: I want to take a moment to express my heartfelt gratitude for the incredible support and engagement you’ve shown for my ideas. Your feedback not only motivates me but also enriches our community. If you have insights, alternative perspectives, or questions about this setup—or if there’s anything else on your mind—please share in the comments! I’m eager to discuss and learn from all of you. Looking Ahead: As we navigate today’s trading session, let’s remain focused and adaptable. The markets can change rapidly, and being prepared to adjust our strategies is key to success. Remember, trading is not just about making profits; it’s also about continuous learning and growth as traders. Thank you all once again for being such a fantastic community! Together, let’s make the most of today’s trading opportunities. Here’s to a successful day ahead—let’s aim for those profits! 🚀💰✨ Happy trading, everyone!
Short
by HouseofProfit
XAUUSD 1H TIMEFRAME ANALYSIS | Looking Bearish Food!🌟 Welcome to Our Trading Community! 🌟 Hello, everyone! I hope you’re all doing well and ready to dive into today’s trading opportunities. I’m excited to share my analysis on XAUUSD (gold) and discuss a potential setup that I believe could be quite rewarding for us. As we assess the current market landscape, it’s clear that gold has recently grabbed all buy-side liquidity. This movement indicates a potential shift in market sentiment and opens the door to bearish momentum. With this in mind, I’m considering a short position on gold, with my entry point at 2582. Here’s my detailed outlook: Market Analysis: The price action we’ve seen suggests that buyers have exhausted their strength. With liquidity being tapped out, we’re now likely to see sellers take control, pushing prices lower. Historical patterns and current trends support this bearish outlook, making it an opportune moment to capitalize on potential downward movement. Target Levels: For this trade, my first target is set at 2567, and I’m aiming for further downside to around 2550. These levels have shown significant support in the past, and I anticipate they will be crucial in this trading session. Risk Management: To protect our investment, I’m implementing a stop loss at 2594. This provides us with a comfortable 100-pip buffer, allowing for some market fluctuation while safeguarding our capital. It’s essential to have a clear risk management strategy in place, especially in volatile markets like gold. Trade Execution: I encourage everyone to analyze this setup based on your own strategies and risk tolerance. Always ensure that your trade aligns with your overall trading plan. If you’re considering this trade, I recommend staying vigilant and watching for confirmation signals before entering. Community Engagement: I want to take a moment to express my heartfelt gratitude for the incredible support and engagement you’ve shown for my ideas. Your feedback not only motivates me but also enriches our community. If you have insights, alternative perspectives, or questions about this setup—or if there’s anything else on your mind—please share in the comments! I’m eager to discuss and learn from all of you. Looking Ahead: As we navigate today’s trading session, let’s remain focused and adaptable. The markets can change rapidly, and being prepared to adjust our strategies is key to success. Remember, trading is not just about making profits; it’s also about continuous learning and growth as traders. Thank you all once again for being such a fantastic community! Together, let’s make the most of today’s trading opportunities. Here’s to a successful day ahead—let’s aim for those profits! 🚀💰✨ Happy trading, everyone!
OANDA:XAUUSDShort
by HouseofProfit
1
Article Title: Is AI Just Hype?In the whirlwind of AI's rapid ascent, a critical question emerges: Is the hype surrounding AI justified, or are we witnessing a bubble fueled by inflated valuations and limited innovation? Let's delve deep into the AI industry, separating the signal from the noise and providing a sobering reality check. The Super Micro Cautionary Tale The financial woes of Super Micro Computer serve as a stark warning. Despite the soaring demand for AI hardware, the company's internal challenges highlight the risks of investing solely in market enthusiasm. This case underscores the importance of **industry openness** and **due diligence** in the face of AI's allure. A Landscape of Contrasts The broader AI landscape is a tapestry of contrasting narratives. While pioneers like DeepMind and Tesla are pushing the boundaries of AI applications, a multitude of companies are capitalizing on the hype with products lacking substance. This proliferation of **AI hype** has created a toxic environment characterized by inflated valuations and a lack of substantive innovation. Market Dynamics and Future Prospects As the market for AI hardware matures, saturation and potential price drops loom. NVIDIA's dominance may be challenged by competitors, reshaping the industry landscape. The future of AI, however, lies in the development of more sophisticated systems capable of collaboration and learning. The integration of **quantum computing** could revolutionize AI, unlocking solutions to complex problems that are currently beyond our reach. Conclusion The AI industry is a complex landscape, filled with both promise and peril. While the hype surrounding AI may be tempting, it's imperative to scrutinize each company's core innovation and value. As the market matures and competition intensifies, those who can deliver **real value** and **technological advancements** will ultimately prevail. The Super Micro case serves as a stark reminder that in the realm of AI, substance, not hype, is the true currency of success.
NASDAQ:SMCIShort
by signalmastermind
2
Can AI Revolutionize Healthcare?The convergence of artificial intelligence (AI) and healthcare is ushering in a new era of medical innovation. As AI models continue to evolve, their potential to revolutionize patient care becomes increasingly evident. Google's Med-Gemini, a family of AI models specifically tailored for medical applications, represents a significant leap forward in this direction. Google's Med-Gemini's advanced capabilities, including its ability to process complex medical data, reason effectively, and understand long-form text, have the potential to transform various aspects of healthcare. From generating radiology reports to analyzing pathology slides and predicting disease risk, Med-Gemini's applications are vast and far-reaching. However, the integration of AI into healthcare raises important ethical considerations. As AI models become more sophisticated, it is crucial to address concerns related to bias, privacy, and the potential for job displacement. A balanced approach that emphasizes human-AI collaboration is essential to ensure that AI is used to augment rather than replace human expertise. The future of healthcare is undoubtedly intertwined with the advancement of AI. By harnessing the power of AI, we can unlock new possibilities for improving patient outcomes, enhancing medical research, and revolutionizing the way we deliver healthcare. As we continue to explore the potential of AI in medicine, it is imperative to approach this journey with a sense of both excitement and responsibility.
NASDAQ:GOOGLong
by signalmastermind
Why Large Language Models Struggle with Financial Analysis.Large language models revolutionized areas where text generation, analysis, and interpretation were applied. They perform fabulously with volumes of textual data by drawing logical and interesting inferences from such data. But it is precisely when these models are tasked with the analysis of numerical, or any other, more-complex mathematical relationships that are inevitable in the world of financial analysis that obvious limitations start to appear. Let's break it down in simpler terms. Problem in Math and Numerical Data Now, imagine a very complicated mathematical formula, with hundreds of variables involved. All ChatGPT would actually do, if you asked it to solve this, is not really a calculation in the truest sense; it would be an educated guess based on the patterns it learned from training. That could be used to predict, for example, after reading through several thousand symbols, that the most probable digit after the equals sign is 4, based on statistical probability, but not because there's a good deal of serious mathematical reason for it. This, in short, is a consequence of the fact indicated above, namely that LLMs are created to predict patterns in a language rather than solve equations or carry out logical reasoning through problems. To put it better, consider the difference between an English major and a math major: the English major can read and understand text very well, but if you hand him a complicated derivative problem, he's likely to make an educated guess and check it with a numerical solver, rather than actually solve it step by step. That is precisely how ChatGPT and similar models tackle a math problem. They just haven't had the underlying training in how to reason through numbers in the way a mathematics major would do. Financial Analysis and Applying It Okay, so why does this matter for financial analysis? Suppose you were engaging in some financial analytics on the performance of a stock based on two major data sets: 1) a corpus of tweets about the company and 2) movements of the stock. ChatGPT would be great at doing some sentiment analysis on tweets. This is able to scan through thousands of tweets and provide a sentiment score, telling if the public opinion about the company is positive, negative, or neutral. Since text understanding is one of the major functionalities of LLMs, it is possible to effectively conduct the latter task. It gets a bit more challenging when you want it to take a decision based on numerical data. For example, you might ask, "Given the above sentiment scores across tweets and additional data on stock prices, should I buy or sell the stock at this point in time?" It's for this that ChatGPT lets you down. Interpreting raw numbers in the form of something like price data or sentiment score correlations just isn't what LLMs were originally built for. In this case, ChatGPT will not be able to judge the estimation of relationship between the sentiment scores and prices. If it guesses, the answer could just be entirely random. Such unreliable prediction would be not only of no help but actually dangerous, given that in financial markets, real monetary decisions might be based on the data decisions. Why Causation and Correlation are Problematic for LLMs More than a math problem, a lot of financial analysis is really trying to figure out which way the correlation runs—between one set of data and another. Say, for example, market sentiment vs. stock prices. But then again, if A and B move together, that does not automatically mean that A causes B to do so because correlation is not causation. Determination of causality requires orders of logical reasoning that LLMs are absolutely incapable of. One recent paper asked whether LLMs can separate causation from correlation. The researchers developed a data set of 400,000 samples and injected known causal relationships to it. They also tested 17 other pre-trained language models, including ChatGPT, on whether it can be told to determine what is cause and what is effect. The results were shocking: the LLMs performed close to random in their ability to infer causation, meaning they often couldn't distinguish mere correlation from true cause-and-effect relationships. Translated back into our example with the stock market, one might see much more clearly why that would be a problem. If sentiment towards a stock is bullish and the price of a stock does go up, LLM simply wouldn't understand what the two things have to do with each other—let alone if it knew a stock was going to continue to go up. The model may as well say "sell the stock" as give a better answer than flipping a coin would provide. Will Fine-Tuning Be the Answer Fine-tuning might be a one-time way out. It will let the model be better at handling such datasets through retraining on the given data. The fine-tuned model for sentiment analysis of textual stock prices should, in fact, be made to pick up the trend between those latter two features. However, there's a catch. While this is also supported by the same research, this capability is refined to support only similar operating data on which the models train. The immediate effect of the model on completely new data, which involves sentiment sources or new market conditions, will always put its performance down. In other words, even fine-tuned models are not generalizable; thus, they can work with data which they have already seen, but they cannot adapt to new or evolving datasets. Plug-ins and External Tools: One Potential Answer Integration of such systems with domain-specific tooling is one way to overcome this weakness. This is quite akin to the way that ChatGPT now integrates Wolfram Alpha for maths problems. Since ChatGPT is incapable of solving a math problem, it sends the problem further to Wolfram Alpha—a system set up and put in place exclusively for complex calculations—and then relays the answer back to them. The exact same approach could be replicated in the case of financial analysis: Once the LLM realizes it's working with numerical data or that it has had to infer causality, then work on the general problem can be outsourced to those prepared models or algorithms that have been developed for those particular tasks. Once these analyses are done, the LLM will be able to synthesize and lastly provide an enhanced recommendation or insight. Such a hybrid approach of combining LLMs with specialized analytical tools holds the key to better performance in financial decision-making contexts. What does that mean for a financial analyst and a trader? Thus, if you plan to use ChatGPT or other LLMs in your financial flow of analysis, such limitations shall not be left unattended. Powerful the models may be for sentiment analysis, news analysis, or any type of textual data analysis, numerical analysis should not be relayed on by such models, nor correlational or causality inference-at least not without additional tools or techniques. If you want to do quantitative analysis using LLMs or trading strategies, be prepared to carry out a lot of fine-tuning and many integrations of third-party tools that will surely be able to process numerical data and more sophisticated logical reasoning. That said, one of the most exciting challenges for the future is perhaps that as research continues to sharpen their capability with numbers, causality, and correlation, the ability to use LLMs robustly within financial analysis may improve.
CRYPTO:BTCUSDEducation
by C_Cosmin_C
Hidden Costs of Trading You Must Know In this educational article, we will discuss the hidden costs of trading. 1 - Brokers' Commissions Trading commission is the brokers' fee for opening a trading position. Usually, it is calculated based on the size of the trade. Though most of the traders believe that trading commissions are too low to even count them, the fact is that trading on consistent basis and opening a couple of trading positions weekly, the composite value of commissions may cut a substantial part of our profits. 2 - Education Of course, most of the trading basics can be found on the Internet absolutely for free. However, the more experienced you become, the harder it is to find the materials . So you typically should pay for the advanced training. Moreover, there is no guarantee that the course/coaching that you purchase will improve your trading, quite often traders go through multiple courses/coaching programs before they become consistently profitable. 3 - Spreads Spread is the difference between the sellers' and buyers' prices. That difference must be compensated by a trader if one wished to open a trading position. In highly liquid markets, the spreads are usually low and most of the traders ignore them. However, being similar to commissions, spreads may cut the substantial part of the overall profits. 4 - Time When you begin your trading journey, it is not possible to predict how much it will take to become a consistently profitable trader. Moreover, there is no guarantee that you will become one. One fact is true, you should spend a couple of years before you find a way to trade profitably, and as we know, the time is money. More time you sacrifice on trading, less time you have on something else. 5 - Swaps Swap is the fee you pay for transferring a position overnight . Swap is based on a difference between the interests rates of the currencies that are in a pair that you trade. Occasionally, swaps can even be positive, and you can earn on holding such positions. However, most of the time the swaps are negative and the longer you hold your trades, the more costly your trading becomes. The brokers' commissions, spreads and swaps compose a substantial cost of our trading positions. Adding into the equation the expensive learning materials and time spent on practicing, trading becomes a very expensive game to play. However, knowing in advance these hidden costs, the one can better prepare himself for a trading journey.
OANDA:XAUUSDEducation
by VasilyTrader
5
GBPUSD: Spotting the Next Big MoveKey Insights Upward Trend: The overall trend for GBPUSD remains bullish. Resistance Levels: 1.3200 and 1.3250 are significant resistance levels. A breakout above these levels could signal further upside potential. Support Levels: 1.3000 is a key support level. A break below this level could indicate a potential reversal. Economic Indicators: Keep an eye on economic indicators from both the UK and the US, as they can significantly impact the exchange rate. Bearish Perspective Key Points: Overbought Conditions: GBPUSD might be approaching overbought conditions on certain technical indicators. A pullback could be expected. Resistance Breakout Failure: If the pair fails to break above the 1.3200 resistance level multiple times, it could signal a potential reversal. Economic Data: Weak economic data from the UK or strong data from the US could weaken the GBP. Sell Levels: 1.3200 (resistance) 1.3300 (stronger resistance) Potential Swing Trade: Buy on Pullback: If the pair pulls back to the 1.3000 support level, consider buying with a stop-loss below the support. The target could be the next resistance level around 1.3250. Bullish Perspective Key Points: Upward Trend: The overall trend remains bullish, and a breakout above the 1.3200 resistance level could trigger a significant rally. Positive Economic Indicators: Strong economic data from the UK or weak data from the US could support the GBP. Technical Indicators: A bullish crossover on a moving average or a positive divergence on an oscillator could reinforce the bullish outlook. Buy Levels: 1.3000 (support) 1.2800 (stronger support) Bullish Strategy: Buy on Pullback: If the pair pulls back to the 1.3000 support level, consider buying with a stop-loss below the support. The target could be the next resistance level around 1.3250. By combining technical analysis with fundamental factors, you can make more informed decisions about your GBPUSD trades. Remember: [/b ]Swing trading involves holding positions for a few days or weeks. It's essential to have a well-defined risk management strategy in place. Remember to stay alert for potential market manipulations (Inducements), especially around support and resistance levels. These can often occur during significant events or flash news. Avoid getting caught in these traps by carefully analysing the market using price action. Disclaimer: This analysis is based on current market conditions and may change. It's essential to conduct your own research before making any investment decisions.  
by blamezak
7
$NSE:TATAELXSI Learnings - Time correction/opportunity costNSE:TATAELXSI 🔰Analyzing Tata Elxsi: A Case of Valuation & Earnings Stability ⤵️ 🔰 PE Ratio Halved: From 100 to 50 ✅ The PE ratio dropped from around 100 to 50, signaling a shift in market sentiment or correction from an overvalued state. 🔰 Timewise Correction, Not a Price Drop ✅ The stock has gone through a timewise correction with sideways movement instead of a steep decline. ↳ This often indicates consolidation after a significant rally. 🔰 Earnings Stability ✅ Despite the PE decline, EPS (Earnings Per Share) remains stable or slightly increasing. ↳ A positive indicator that the company’s earnings capacity is intact. 🔰 Market Sentiment vs. Fundamentals ✅ The PE ratio drop without a corresponding decrease in earnings shows a recalibration of growth expectations. ↳ Remember, valuation and market sentiment can diverge from a company’s actual performance. 🔰 Timing is Key ✅ Entering when valuation is high can lead to modest returns, even if the company performs well. ↳ Patience and strategic timing are crucial. 🔰 Long-Term Perspective ✅ Tata Elxsi’s stable earnings during a timewise correction show the benefits of holding strong fundamentals over short-term volatility. 🔰 Strategic Takeaway ✅ Look beyond PE ratios—understand the business, sector dynamics, and macroeconomic factors. ↳ Align your investment strategy with market conditions and company performance.
NSE:TATAELXSI
by Peaceful-Weekend-Investing
1
How to Identify Candlestick Strength | Trading Basics Hey traders, In this educational article, we will discuss Please, note that the concepts that will be covered in this article can be applied on any time frame, however, higher is the time frame, more trustworthy are the candles. Also, remember, that each individual candle is assessed in relation to other candles on the chart. There are three types of candles depending on its direction: 🟢 Bullish candle Such a candle has a closing price higher than the opening price. 🔴 Bearish candle Such a candle has a closing price lower than the opening price. 🟡 Neutral candle Such a candle has equal or close to equal opening and closing price. There are three categories of the strength of the candle. Please, note, the measurement of the strength of the candle is applicable only to bullish/bearish candles. Neutral candle has no strength by definition. It signifies the absolute equilibrium between buyers and sellers. 1️⃣ Strong candle Strong bullish candle signifies strong buying volumes and dominance of buyers without sellers resistance. Above, you can see the example of a strong bullish candle on NZDCHF on a 4H. Strong bearish candle means significant selling volumes and high bearish pressure without buyers resistance. On the chart above, you can see a song bearish candle on EURUSD. Usually, a strong bullish/bearish candle has a relatively big body and tiny wicks. 2️⃣ Medium candle Medium bullish candle signifies a dominance of buyers with a rising resistance of sellers. You can see the sequence of medium bullish candles on EURJPY pair on a daily time frame. Medium bearish candle means a prevailing strength of sellers with a growing pressure of bulls. Above is the example of a sequence of medium bearish candles on AUDUSD pair. Usually, a medium bullish/bearish candle has its range (based on a wick) 2 times bigger than the body of the candle. 3️⃣ Weak candle Weak bullish candle signifies the exhaustion of buyers and a substantial resistance of sellers. Weak bearish candle signifies the exhaustion of sellers and a considerable bullish pressure. Usually, such a candle has a relatively small body and a big wick. Above is the sequence of weak bullish and bearish candles on NZDCHF pair on an hourly time frame. Knowing how to read the strength of the candlestick, one can quite accurately spot the initiate of new waves, market reversals and consolidations. Watch how the price acts, follow the candlesticks and try to spot the change of momentum by yourself.
OANDA:XAUUSDEducation
by VasilyTrader
9
Profitable Triangle Trading Strategy Explained Descending triangle formation is a classic reversal pattern . It signifies the weakness of buyers in a bullish trend and bearish accumulation . In this article, I will teach you how to trade descending triangle pattern. I will explain how to identify the pattern properly and share my trading strategy. ⭐️ The pattern has a very peculiar price action structure : 1. Trading in a bullish trend, the price sets a higher high and retraces setting a higher low . 2. Then the market starts growing again but does not manage to set a new high, setting a lower high instead. 3. Then the price drops again perfectly respecting the level of the last higher low, setting an equal low . 4. After that, one more bullish movement and one more consequent lower high , bearish move, and equal low . Based on the last three highs , a trend line can be drawn. Based on the equal lows , a horizontal neckline is spotted. ❗What is peculiar about such price action is the fact that a set of lower highs signifies a weakening bullish momentum : fewer and fewer buyers are willing to buy from horizontal support based on equal lows. 🔔 Such price action is called a bearish accumulation . Once the pattern is formed it is still not a trend reversal signal though. Remember that the price may set many lower highs and equal lows within the pattern. The trigger that is applied to confirm a trend reversal is a bearish breakout of the neckline of the pattern. 📉Then a short position can be opened. For conservative trading, a retest entry is suggested. Safest stop is lying at least above the level of the last lower high. However, in case the levels of the lower highs are almost equal it is highly recommendable to set a stop loss above them all. 🎯For targets look for the closest strong structure support. Below, you can see the example of a descending triangle trade that I took on NZDCAD pair. After I spotted the formation of the pattern, I was patiently waiting for a breakout of its neckline. After a breakout, I set a sell limit order on a retest. Stop loss above the last lower high. TP - the closest key support. 90 pips of pure profit made. Learn to identify and trade descending triangle. It is one of the most accurate price action patterns every trader should know.
OANDA:XAUUSDEducation
by VasilyTrader
1
Mastering Elliott Waves: Key Rules You Can't IgnoreEducational Idea : Understanding Key Principles of Elliott Wave Theory Introduction Elliott Wave Theory is a powerful tool used by traders to analyze market cycles and forecast future price movements. Understanding its core principles can help you make more informed trading decisions. In this article, we will delve into three fundamental principles of Elliott Wave Theory that cannot be violated. Remember, this video is purely for educational purposes and not intended as trading advice or tips. 1. Wave 2 Can Never Retrace More Than 100% of Wave 1 The first principle of Elliott Wave Theory is that Wave 2 can never retrace more than 100% of Wave 1. In other words, Wave 2 cannot go below the starting point of Wave 1. If it does, it invalidates the wave count and suggests that the initial impulse wave (Wave 1) was incorrectly identified. This rule ensures that Wave 2 is a correction wave within the larger trend and not a reversal of the trend itself. Example Illustration: - If Wave 1 starts at 100 and peaks at 150, Wave 2 can retrace to any level above 100, but not below it. 2. Wave 3 Can Never Be the Shortest Among All Three Impulse Waves (1-3-5) The second principle states that Wave 3 can never be the shortest among the three impulse waves (Waves 1, 3, and 5). Typically, Wave 3 is the longest and most powerful wave, characterized by strong momentum and volume. If you find that Wave 3 is shorter than either Wave 1 or Wave 5, the wave count is incorrect, and you need to re-evaluate your analysis. Example Illustration: - If Wave 1 is 50 points and Wave 3 is only 30 points, while Wave 5 is 40 points, this violates the rule as Wave 3 is the shortest. 3. Wave 4 Cannot Enter the Territory of Wave 1 (Except in Diagonals & Triangles) The third principle asserts that Wave 4 cannot enter the price territory of Wave 1. This means that the lowest point of Wave 4 should not overlap the highest point of Wave 1. An exception to this rule occurs in diagonal and triangle patterns, where some overlap is permissible. This rule helps maintain the integrity of the impulse wave structure. Example Illustration: - If Wave 1 peaks at $150 and Wave 4 retraces to $145, this overlaps and invalidates the wave count unless the pattern is a diagonal or triangle. Conclusion By following these principles, you can ensure that your Elliott Wave analysis remains robust and accurate, helping you navigate the complexities of the financial markets with greater confidence. Understanding and applying these key principles of Elliott Wave Theory can significantly enhance your market analysis and trading strategies. Keep these rules in mind as you study and apply Elliott Wave Theory in your trading journey. Remember, this video is purely for educational purposes and not any kind of trading advisory or tips. This content is for educational purposes only and should not be considered as financial advice. Always do your own research before making any trading decisions. I am not Sebi registered analyst. My studies are for educational purpose only. Please Consult your financial advisor before trading or investing. I am not responsible for any kinds of your profits and your losses. Most investors treat trading as a hobby because they have a full-time job doing something else. However, If you treat trading like a business, it will pay you like a business. If you treat like a hobby, hobbies don't pay, they cost you...! Feel free to share your thoughts or questions in the comments below. Happy trading! Hope this post is helpful to community Thanks RK💕 Disclaimer and Risk Warning. The analysis and discussion provided on in.tradingview.com is intended for educational purposes only and should not be relied upon for trading decisions. RK_Charts is not an investment adviser and the information provided here should not be taken as professional investment advice. Before buying or selling any investments, securities, or precious metals, it is recommended that you conduct your own due diligence. RK_Charts does not share in your profits and will not take responsibility for any losses you may incur. So Please Consult your financial advisor before trading or investing.
NSE:IRFCEducation
by RK_Chaarts
13
why you should avoid trading after a trending marketHello traders, I saw This learning post today in the London session(24-7-24). you can go for 5 minutes to understand this concept better, you can see a clear pattern on the chart, trending -> sideways/choppy -> trending -> sideways/choppy. in the trending market, you see fast movement; in the choppy market, you see lots of SL hunting and wicks. try to avoid such a market so you can make money in trending. Note : not a finance advice
FX:XAUUSDEducation
by BlockchainAndPips
Learn How to Apply Top-Down Multiple Time Frame Analysis In this article, we will discuss how to apply Multiple Time Frame Analysis in trading . I will teach you how to apply different time frames and will share with you some useful tips and example of a real trade that I take with Top-Down Analysis strategy. Firstly, let's briefly define the classification of time frames that we will discuss: There are 3 main categories of time frames: 1️⃣ Higher time frames 2️⃣ Trading time frames 3️⃣ Lower time frames Higher Time Frames Analysis 1️⃣ Higher time frames are used for identification of the market trend and global picture. Weekly and daily time frames belong to this category. The analysis of these time frames is the most important . On these time frames, we make predictions and forecast the future direction of the market with trend analysis and we identify the levels , the areas from where we will trade our predictions with structure analysis . Above is the example of a daily time frame analysis on NZDCAD. We see that the market is trading in a strong bullish trend. I underlined important support and resistance levels. The supports will provide the safest zones to buy the market from anticipating a bullish trend continuation. Trading Time Frames 2️⃣ Trading time frames are the time frames where the positions are opened . The analysis of these time frames initiates only after the market reaches the underlined trading levels, the areas on higher time frames. My trading time frames are 4h/1h. There I am looking for a confirmation of the strength of the structures that I spotted on higher time frames. There are multiple ways to confirm that. My confirmations are the reversal price action patterns. Once the confirmation is spotted, the position is opened. Analyzing the reaction of the price to Support 1 on 1H time frame on NZDCAD pair, I spotted a strong bullish confirmation - a triple bottom formation. A long position is opened on a retest of a broken neckline. Lower Time Frames 3️⃣ Lower time frames are 30/15 minutes charts. Even though these time frames are NOT applied for trading, occasionally they provide some extra clues . Also, these time frames can be applied by riskier traders for opening trading positions before the confirmation is spotted on trading time frames. Before the price broke a neckline of a triple bottom formation on an hourly time frame on NZDCAD, it broke a resistance line of a symmetrical triangle formation on 15 minutes time frame. It was an earlier and riskier confirmation to buy. Learn to apply these 3 categories of time frames in a combination. Start your analysis with the highest time frame and steadily go lower, identifying more and more clues. You will be impressed how efficient that strategy is.
OANDA:XAUUSDEducation
by VasilyTrader
17