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Finding a section to start tradingHello, traders. If you "Follow", you can always get new information quickly. Please also click "Boost". Have a nice day today. ------------------------------------- The BW indicator included in the TS - BW indicator is an indicator expressed by synthesizing the MACD, StochRSI, CCI, PVT, and superTrend indicators. When the BW indicator - records a high point, it is time to sell, and - When it records a low point, it is time to buy. The BW indicator in the price candle section is the same as the BW indicator included in the TS - BW indicator, but it is an indicator that is expressed in the price candle when a horizontal line is formed at the highest or lowest point. If you look at the position of the BW indicator expressed in the price candle section, you can know when to proceed with a trade. I think you can be confident about starting a trade by referring to the status of the MS-Signal (M-Signal on 1D, 1W, 1M charts) indicator that can confirm the trend. If you add the HA-Low, HA-High indicators here, you can create a more detailed trading strategy. Have a good time. Thank you. -------------------------------------------------- - ​​Big picture It is expected that a full-scale uptrend will start when it rises above 29K. The section that is expected to be touched in the next bull market is 81K-95K. #BTCUSD 12M 1st: 44234.54 2nd: 61383.23 3rd: 89126.41 101875.70-106275.10 (overshooting) 4th: 13401.28 151166.97-157451.83 (overshooting) 5th: 178910.15 These are points where resistance is likely to occur in the future. We need to check if these points can be broken upward. We need to check the movement when this section is touched because I think a new trend can be created in the overshooting section. #BTCUSD 1M If the major uptrend continues until 2025, it is expected to start forming a pull back pattern after rising to around 57014.33. 1st: 43833.05 2nd: 32992.55 -----------------
Education
by readCrypto
1
How to read mean returns (Expand the indicator)Mean returns is a trend detection and overextension indicator. It oscillates around the value of 0. The mean return line in reality is the orange one as well as the blue one. The difference is in the number of data points into the past that they consider. Since the value of those lines is the expected value of the returns in period t, then if it's over 0 the expectation is that returns will be positive, as previously the price has been trending higher. The opposite being true as well. Meanwhile, the red and green line represent the expected upwards and expected downwards returns. That means you only take the expected value for the days in which the return was positive or negative accordingly. Therefore, if the mean returns are over the expected upwards returns the price is likely to be overextended, and vice versa. Other adjustments were made to consider the current candle. This code will remain private, as it took a lot of effort to invent. I hope you are able to understand the math. If you can't, I hope this at least allowed you to read the meaning of the indicator through this.
CME_MINI:ES1!Education
by DarkMessiah777
1
Trend lines are also lagging(?)Hello, traders. If you "Follow", you can always get new information quickly. Please also click "Boost". Have a nice day today. ------------------------------------- I think trend lines are drawn to find out the trend that appears when candles are formed. Therefore, since they are drawn after candles are formed, they can be called lagging. However, since there is a characteristic of moving along a trend that has been formed unless there is a special issue, chart analysis is done by referring to trend lines. To draw trend lines, you need to understand the arrangement of candles. If not, there is a high possibility that it will be a meaningless line, so you need to study candles in advance to draw trend lines. The point to use as a reference when drawing trend lines may vary depending on your investment style. When drawing a trend line, I draw it according to the following rules. 1. Connect the opening price of the falling candle among the price candles corresponding to the high point of the StochRSI indicator (indicated by the blue line) 2. Connect the low point of the price candles corresponding to the low point of the StochRSI indicator (indicated by the light green (#00FF00) line) The setting values ​​of the StochRSI indicator are 3, 3, 14, 7 (K, D, RSI, Stoch). However, the source value is the value of the Heikin-Ashi candle (Open + Close) / 2. The difference can be confirmed by the StochRSI indicator and the Stoch RSI indicator of the TS - BW indicator on the chart. 1. Use the high point formed when the StochRSI indicator rises above 80, 2. Use the low point formed when the StochRSI indicator falls below 20. Exclude any low or high points formed other than these. The trend line connecting the low points can be connected by connecting the low points of the price candles. However, the trend line connecting the high points must connect the opening price of the falling candle among the price candles, so when the price candle where the high point of the StochRSI indicator is formed is an upward candle, the opening price of the first falling candle among the right candles is specified and used. Therefore, since there is a difference between the StochRSI indicator of the TS -BW indicator and the general StochRSI indicator, it is recommended to use the StochRSI indicator formula of the TS - BW indicator if possible. When the StochRSI indicator entered the oversold zone and formed two low points, the trend line was not drawn by connecting the two low points. Therefore, the trend line is drawn as shown on the chart. Both the most recently drawn trend lines (1) and (2) are down, so it seems likely that a change in trend will occur. However, since it is virtually impossible to know with just the trend line, it is recommended to comprehensively evaluate by adding auxiliary indicators. Therefore, it is recommended to refer to the BW indicator, which displays MACD, StochRSI, CCI, PVT, and SuperTrend indicators. If the BW indicator is rising from the 0 point, it means that the trend is rising. On the contrary, if it is falling from the 0 point, it means that the trend is falling. Since the BW indicator is currently above the 0 point, we can see that the trend is rising. Therefore, when looking at the trend line and the BW indicator comprehensively, we can respond by selling when it falls from the recently drawn trend lines (1) and (2). However, since the BW indicator is in an upward trend, it is recommended to respond with a split sell rather than a 100% sell. It is still difficult to determine the timing of trading with the trend line alone. Therefore, it is recommended to select the timing of trading by indicating the support and resistance points. In that sense, it is a good idea to add HA-Low, HA-High indicators and use them to select the trading period. Even if you do not use HA-Low, HA-High indicators, you should draw support and resistance lines according to the arrangement of candles on the 1M, 1W, and 1D charts and mark them on the chart to select the trading period. The good thing about using indicators that indicate support and resistance points is that the support and resistance points do not change depending on your psychological state. When you start trading, your psychological state may become unstable due to price volatility, and if you are in an unstable psychological state, you may draw a line incorrectly, which may result in an unreliable line. Have a good time. Thank you. -------------------------------------------------- - ​​Big picture It is expected that a full-scale uptrend will begin when it rises above 29K. The next expected range to touch is 81K-95K. #BTCUSD 12M 1st: 44234.54 2nd: 61383.23 3rd: 89126.41 101875.70-106275.10 (overshooting) 4th: 13401.28 151166.97-157451.83 (overshooting) 5th: 178910.15 These are points that are likely to receive resistance in the future. We need to check if these points can be broken upward. We need to check the movement when this range is touched because it is thought that a new trend can be created in the overshooting range. #BTCUSD 1M If the major uptrend continues until 2025, it is expected to start forming a pull back pattern after rising to around 57014.33. 1st: 43833.05 2nd: 32992.55 -----------------
Education
by readCrypto
HERE ARE 10 COMMON TRADING INDICATORS MADE SIMPLE Chart has all 10. Hope this helps. Hope it's simple to understand if you still struggle with indicators. Remember, no one indicator is good on its own. Think of an indicator as a sign that you should pay attention to a possibility. For example, if I go to the ocean, maybe I have an indicator that says you're closer to sharks than in the great lakes, will I be eaten? Probably not, but also, there are more sharks and my indicator confirms that. I can't use this one indicator to say, I'm probably about to be eaten. BUT.. Let's say I have multiple indicators that I use to give me a better idea if I'll be eaten. Maybe an indicator tells me there is an oddly higher than avg number of a sharks number 1 food source within the area. Can I say I'll be eaten? No, but I could say, maybe due to the increased food supply, there may be more sharks. What if I have a few more indicators, one of which says there are 30 great whites within 10 miles, and another that says, usually at this time of the year, there are only ever between 2 to 7 great whites. Can I say, Yes, I'll be eaten? NOPE, not yet. What if I have another indicator that says, across the globe, shark attacks are increasing by a certain percentage, and another that says, there is blood detected within the water you're swimming in, which is lower than the threshold for human's to detect, but higher than the threshold needed for sharks to smell. What if I combine that with an indicator that says, on avg there are 1000 swimmers here, but now, there are under 30. Can I say I'll be eaten? Nope, BUT, I can say, hmm. Something is up and if one of us were to get eaten, I'm more likely to be picked out of 30 people than 1000. When can I say I'll be eaten? Probably if you build an indicator that can detect bite force and compare to known bit forces of sharks that could sense you're actively being eaten, but at that point, the stock moved already... err I mean, the shark ate already, and you're late to the show.. My point being, use them, but don't always assume when it comes to indicators. Take in all the data and then make a decision. Some indicators fit your style, some won't. Do I need 30 stacked indicators for sharks if I'm swimming in Lake Michigan? Probably not, it would make everything a mess. So, here there are. Relative Strength Index (RSI): Ah, the RSI, the “I’ve had too much” indicator of the stock market. When it hits above 70, it’s like your stock had too much to drink at the party and is likely to come crashing down. Below 30? It’s been left out in the cold and might be due for a warm-up (a.k.a. price increase). Remember, it’s not foolproof, but then again, neither is your weather app. On-Balance Volume (OBV): This one’s all about following the crowd. If the volume is increasing, it’s like everyone’s rushing to get the latest iPhone. But remember, even if everyone jumps off a bridge, it doesn’t mean you should too. Always double-check before you follow the herd. Simple Moving Average (SMA): The SMA is like that reliable friend who’s always a bit behind on the latest trends. It gives you the average closing price over a certain period. It’s simple, it’s moving, it’s average. It’s the SMA. Exponential Moving Average (EMA): The EMA is the SMA’s hip younger sibling. It cares more about what happened recently than what happened way back when. It’s great for short-term trading, but remember, even the coolest kids can get things wrong. Moving Average Convergence Divergence (MACD): This one sounds complicated, but it’s not. It’s like watching two rabbits on a race track. If the fast rabbit (the 12-day EMA) overtakes the slow rabbit (the 26-day EMA), it’s a bullish signal. If the slow rabbit overtakes the fast one, it’s a bearish signal. Just remember, rabbits are unpredictable! Fibonacci retracements: Ah, Fibonacci, the Da Vinci of math. These horizontal lines indicate where support and resistance levels might be. It’s like trying to predict where you’ll meet your ex at a party. It could be useful, but don’t rely on it too much. Stochastic oscillator: This one’s a bit like a pendulum. When it swings one way, it’s likely to swing back the other way soon. It’s great for spotting potential reversals, but remember, even a broken clock is right twice a day. Bollinger bands: These are like the elastic waistband of your favorite sweatpants. If the price hits the upper band, it might be time to sell (or stop eating pizza). If it hits the lower band, it might be time to buy (or hit the gym). Average Directional Index (ADX): This one tells you whether the price is trending strongly or just wandering around like a lost puppy. Above 25 is a strong trend, below 20 is weak. But remember, even lost puppies find their way home eventually. Accumulation/Distribution (A/D) line: This one’s all about supply and demand. If the line is going up, the stock is being accumulated. If it’s going down, it’s being distributed. It’s like tracking whether more people are buying or selling fidget spinners. Remember, these indicators are like tools in a toolbox. Don’t try to build a house with just a hammer. Use them in combination, understand their limitations, and always do your own research. Happy trading! 📈
NASDAQ:TSLAEducation
by nicktussing77
18
VOLUME INDICATORS, PART 2. SEVEN COMMON VOLUME INDICATORS.Understanding Volume Indicators: Volume indicators are essential tools for traders and analysts, providing insights into market activity and sentiment. In this guide, we'll explore seven common volume indicators and how you can use them to enhance your trading strategies. 1. Volume Volume is the simplest volume indicator, representing the total number of shares or contracts traded over a specific period. It's like the crowd size at a Super Bowl game—when the stadium is packed and roaring, it indicates a lot of interest and activity. Similarly, high trading volume suggests significant buying or selling activity in the market. Traders often use volume to confirm the strength of price movements and identify potential trends. Volume, the bedrock of volume analysis, represents the total number of shares or contracts traded over a specific period. Common parameter values range from 20 to 50 periods for short-term analysis and 100 to 200 periods for long-term trends. Remember, volume precedes price movements, so significant changes can hint at impending shifts in direction. 2. On-Balance Volume (OBV) On-Balance Volume (OBV) adds a cumulative total of volume when the price closes up and subtracts it when the price closes down. It's akin to keeping score of how loud each team's fans are cheering during the Super Bowl game. If one team's supporters get louder as the game progresses, it suggests growing momentum for that team. Likewise, OBV helps traders gauge buying and selling pressure, providing insights into potential price movements. A rising OBV indicates bullish momentum, while a falling OBV suggests bearish sentiment. On-Balance Volume (OBV) tracks cumulative volume based on price movements. Set your period length typically between 14 to 20 periods for optimal results. A rising OBV confirms bullish trends, while a falling OBV suggests bearish sentiment. Divergences between OBV and price often foreshadow reversals. 3. Accumulation/Distribution Line (A/D Line) The Accumulation/Distribution Line (A/D Line) combines price and volume to show how much of a security is being accumulated or distributed. It's like a tug-of-war between the two teams during halftime at the Super Bowl. The team with more supporters pulling harder gains ground. Similarly, the A/D Line measures the battle between buyers and sellers. If it's trending upwards, it suggests that accumulation (buying) is outweighing distribution (selling), indicating potential upward price movement. The Accumulation/Distribution Line (A/D Line) gauges the flow of funds into or out of a security. Optimal period lengths range from 14 to 30 periods. Rising A/D Line values signal accumulation and potential price appreciation, while declining values indicate distribution and possible downturns. 4. Chaikin Money Flow (CMF) Chaikin Money Flow (CMF) measures the flow of money into or out of a security based on both price and volume. It's akin to checking the enthusiasm of the fans after each touchdown at the Super Bowl. If the fans are still hyped and buying team merchandise, it suggests sustained enthusiasm and support. CMF helps traders assess the strength of buying or selling pressure. A positive CMF suggests buying pressure, while a negative CMF indicates selling pressure. Chaikin Money Flow (CMF) measures buying and selling pressure relative to price movements. Common period lengths vary from 10 to 30 periods. Positive CMF values indicate buying pressure, while negative values suggest selling pressure. Look for divergences between CMF and price for early reversal signals. 5. Volume Weighted Average Price (VWAP) Volume Weighted Average Price (VWAP) calculates the average price a security has traded at throughout the day, weighted by volume. It's like a buffet at a Super Bowl party where each dish is labeled with the average popularity rating from all the guests. The more popular dishes have a higher average rating. Similarly, VWAP gives traders a sense of the average price level where most trading activity has occurred. Traders use VWAP to assess whether their trades were executed at favorable prices relative to the day's average. Volume Weighted Average Price (VWAP) calculates the average price weighted by volume. Period lengths typically range from 20 to 50 periods. VWAP acts as a dynamic support or resistance level, guiding traders on optimal entry and exit points. Monitor deviations from VWAP to identify potential trend shifts. 6. Money Flow Index (MFI) The Money Flow Index (MFI) measures the rate at which money is flowing into or out of a security based on both price and volume. It's akin to fans at the Super Bowl game exchanging team merchandise and tickets. The more transactions happening, the more money is flowing between fans. MFI helps traders gauge market sentiment. A high MFI suggests strong buying pressure, while a low MFI indicates selling pressure. Traders often look for divergences between MFI and price movements to anticipate potential reversals. The Money Flow Index (MFI) evaluates the rate of money flow into or out of a security. Optimal period lengths usually range from 10 to 20 periods. High MFI values indicate overbought conditions, while low values suggest oversold conditions. Watch for divergences between MFI and price for reversal signals. 7. Volume Rate of Change (VROC) Volume Rate of Change (VROC) measures the rate of change in volume over a specific period, showing whether volume is increasing or decreasing rapidly. It's like measuring the acceleration or deceleration of the crowd's excitement level during different parts of the Super Bowl game. If the crowd gets louder and louder as the game progresses, it indicates increasing excitement and momentum. Similarly, a rising VROC suggests increasing buying or selling activity, while a falling VROC suggests waning activity. Volume Rate of Change (VROC) measures the rate of change in volume over a specific period. Common period lengths vary from 10 to 20 periods. Rising VROC values signify increasing volume momentum, indicating potential price continuation. Falling values may precede price reversals. GME and VOLUME? Let's go back and see GME on the Weekly In conclusion, volume indicators provide valuable insights into market sentiment and potential price movements. By understanding and incorporating these indicators into your trading strategy, you can make more informed decisions and improve your overall trading performance. REMEMBER, no one indicator on it's own tells you much, but a lot of different indicators all telling you the same thing at the same area... pay attention to that kind of confirmation. Hope this helps!! I've linked PART 1, 10 COMMON INDICATORS. This post is all Volume related. You can go in depth with all of these, I don't find it necessary for most traders, but the option is there, however, you'll need someone more advanced than myself to help you through that.
NASDAQ:TSLAEducation
by nicktussing77
Mastering Technical Indicators: Leading and Lagging Navigating the labyrinth of financial markets requires a keen understanding of the two fundamental types of indicators: leading and lagging. These tools act as guides, offering traders glimpses into the future and affirmations of the past. To decipher their intricate roles, a primer on technical analysis is in order. Technical Analysis Unveiled At its core, technical analysis entails scrutinizing historical market data, chiefly price and volume, to prognosticate future price actions. Traders wield an arsenal of tools and indicators to glean insights from patterns and trends ingrained in the data. Decoding Leading and Lagging Indicators Within the realm of technical analysis, leading and lagging indicators serve as indispensable compasses, aiding traders in deciphering market movements and executing judicious decisions. Let's embark on a journey through leading indicators – the harbingers of prospective market shifts. Leading Indicators: The Precursors of Change These tools are crafted to forecast forthcoming price movements, endowing traders with foresight into potential trend reversals or shifts before they materialize. Here are some quintessential examples: Relative Strength Index (RSI): Gauges the velocity and magnitude of price changes, signaling whether an asset is overbought or oversold. Traders rely on RSI to anticipate potential reversals. Moving Average Convergence Divergence (MACD): A multifaceted indicator that melds moving averages to detect alterations in trend strength, direction, momentum, and duration. It furnishes signals for potential trend reversals. Stochastic Oscillator: A momentum gauge that juxtaposes an asset's closing price with its price range over a designated period, aiding in the identification of potential turning points by flagging overbought or oversold conditions. Leading indicators, with their proactive stance, empower traders to anticipate market gyrations ahead of time. Now, let's pivot to lagging indicators – the historians that validate trends based on historical price data. Lagging Indicators: Solidifying Trends Through Historical Confirmation In market analysis, lagging indicators serve as stalwart allies, offering retrospective validation of trends based on historical price data. Unlike their leading counterparts, these tools eschew early signals in favor of bolstering traders' confidence in established market movements. Here's a closer look at their role in the trading arena: Understanding Lagging Indicators Lagging indicators, often termed as trend-following tools, operate on the premise of confirming trends rather than predicting them. While they lack the foresight of leading indicators, they are indispensable for traders who favor a methodical approach to following established trends. These indicators, while reactive, provide affirmation of trends albeit at a slightly delayed pace. Key Lagging Indicators in Action Among the repertoire of lagging indicators, several stand out as quintessential tools for trend confirmation: Moving Averages (MAs): These indicators smooth out price data over a specified period, revealing the average value of an asset's performance. Traders rely on MAs to ascertain the direction of a trend by assessing whether the current price resides above or below the moving average line. Bollinger Bands: Comprising a middle band, which is an MA, flanked by two outer bands representing standard deviations, Bollinger Bands serve as a gauge of volatility and potential trend reversals. Traders scrutinize price movements in relation to the bands to discern shifts in market sentiment. Moving Average Envelopes: Similar to Bollinger Bands, moving average envelopes delineate a channel around a moving average line. By examining price interactions with these enveloping bands, traders glean insights into potential overbought or oversold conditions. Leveraging Lagging Indicators for Trend Confirmation In practical terms, consider a scenario where a stock has been on a prolonged uptrend, eliciting signals of potential overbought conditions from leading indicators like the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD). Here's how lagging indicators come into play to solidify the prevailing trend: Traders turn to lagging indicators such as the 50-day Moving Average (MA), which trails behind the actual stock price, offering a smoothed average of past performance. Observing that the stock's current price consistently surpasses the 50-day MA, traders gain confidence in the continued bullish trajectory, as affirmed by the alignment between the current price and the lagging indicator. In essence, while lagging indicators may lack the proactive nature of leading counterparts, their role in fortifying traders' convictions in established trends is invaluable, providing a bedrock of confidence amidst the complexities of market dynamics. Example of Using Lagging Technical Indicators Consider a scenario where a company announces its earnings report, causing a surge in its stock price despite leading indicators signaling potential overbought conditions. Traders relying on lagging indicators, such as the 50-day Moving Average (MA), observe a delayed response as the stock price continues to climb. In this instance, as the stock price surges, the 50-day MA gradually catches up, confirming the sustained upward trend. Traders interpreting this alignment between the current stock price and the lagging indicator as validation of the bullish momentum adjust their positions accordingly. However, it's important to note that while lagging indicators confirm trends, they do not predict the duration of a trend or future price movements. Combining Leading and Lagging Indicators Integrating both leading and lagging indicators in trading requires a strategic approach to decision-making. Leading indicators, such as the Moving Average Convergence Divergence (MACD) and Relative Strength Index (RSI), are instrumental in identifying potential market turning points and shifts in momentum. Traders can use leading indicators to spot potential trading opportunities and generate signals. However, to validate the reliability of these signals, traders often turn to lagging indicators like Moving Averages and Bollinger Bands. For instance, if the MACD indicates a bullish divergence, traders may look for confirmation from a crossover between short-term and long-term moving averages. This combination of leading and lagging indicators helps filter out false signals and provides a more comprehensive understanding of market conditions. Moreover, lagging indicators can assist in risk management by providing insights into market volatility. Traders can use indicators like the Average True Range (ATR) to set appropriate stop-loss levels and manage risk effectively. By integrating leading and lagging indicators into their trading strategies, traders can make more informed decisions and navigate the complexities of financial markets with greater confidence. --Advantages and Disadvantages of Leading and Lagging Technical Indicators-- - Leading Indicators - Advantages: 1. Early Signals: Leading indicators provide early signals about potential market shifts, enabling traders to anticipate changes in price direction, momentum, and strength. 2. Strategic Edge: Traders can gain a strategic edge by using leading indicators to enter or exit positions before trends fully materialize, allowing for proactive decision-making. 3. Proactive Approach: The predictive nature of leading indicators empowers traders to identify potential opportunities before they become apparent, facilitating proactive trading strategies. Disadvantages: 1. False Signals: Leading indicators are prone to generating false signals, which can lead to premature or incorrect decisions based on incomplete or inaccurate information. 2. Increased Risk: Overreliance on leading indicators without proper confirmation can result in poor decision-making and increased risk exposure, as traders may act on unreliable signals. 3. Limited Confirmation: Leading indicators may lack confirmation of established trends, leading to uncertainty about the sustainability of identified opportunities. - Lagging Indicators - Advantages: 1. Trend Confirmation: Lagging indicators confirm established trends, providing a retrospective analysis of market behavior and validating signals from leading indicators. 2. Confidence Boost: Traders gain confidence in the sustainability of trends by using lagging indicators to confirm signals, reducing uncertainty and enhancing decision-making. 3. Comprehensive Understanding: Lagging indicators contribute to a more comprehensive understanding of market conditions by confirming trends and providing additional insights into market behavior. Disadvantages: 1. Delayed Signals: Lagging indicators provide signals after trends have already begun, resulting in missed opportunities for entering trades at optimal points. 2. Vulnerability to Market Conditions: Lagging indicators may generate less reliable signals during prolonged market consolidations or sideways movements, leading to increased uncertainty and potential false signals. 3. Reactive Approach: Relying solely on lagging indicators may lead to reactive trading strategies, where traders respond to market movements rather than anticipating them, potentially resulting in suboptimal outcomes. In conclusion.. In conclusion, leading and lagging indicators each offer unique advantages and disadvantages in the realm of technical analysis. While leading indicators provide early insights and a strategic edge, they carry the risk of false signals and increased uncertainty. Lagging indicators, on the other hand, offer confirmation of trends and a comprehensive understanding of market conditions but may result in missed opportunities and a reactive approach to trading. Successful traders often combine both types of indicators to leverage their strengths and mitigate their weaknesses, striking a careful balance between anticipation and confirmation in their trading strategies. Continuous learning, adaptability, and a nuanced understanding of market dynamics are essential for navigating the complexities of financial markets and achieving long-term success as a trader. I trust you'll find this article insightful...
Education
by FOREXN1
1
The combination of gcov5 and TCD osc = high precision & win5m chart, overall condition analysis. The combination of gcov5 and TCD osc will give more strength to a decision whether to buy or sell. In turn, it can increase accuracy and win. how to get a win in all positions? 1. refers to bull/bear trend ( TCD osc) 2. find a gcov5 signals based on SnD zone and early TCD trend 3. buy price 3 ticks below the close of the signal candle, and sell price 3 ticks above the close of signal candle, so that we can get a tick advantage. If a high candle formed, so enter half candle price. What to do if we miss the signals? sometimes, we miss a buy signal after several candles. We can still enter the market by referring to the nearest support as a buy area and resistance as a sell area. For attention, do not proceed into market if 1. the price breakdown a support or 2. if we have missed the signal too far DISCLAIMER; This post is not meant to be a buy/sell call, just ideas and research analysis based on measurement tools.
MYX:FCPO1!Education
by TraderAsist
3
HOW-TO use the Fundamental Strength Indicator? (full guide)Below is the complete instruction on how to use the Fundamental Strength Indicator . Part 1: The Fundamental Strength of the Company To understand what it is for, let's imagine that you manage a long-distance running team, and you need to recruit a team of excellent athletes. However, you don’t even know the names of these athletes or their contract amounts. You only have information about their health and athletic performance: hemoglobin and iron content in the blood, maximal oxygen consumption, steps-per-minute rate, speed, age, etc. Each player has their own large table with different parameters. And you have, let’s say, a thousand tables like that. If you spend 3 minutes studying one table, it will take you 50 hours to analyze all the tables, which is just over 2 days of continuous work. And how long would it take to compare each athlete with the rest? Approximately 2 years of continuous work. This is obviously no good, that is why you take a computer, enter all the data from the tables and start thinking about how you can reduce the time to compare one athlete with another. As a result of your brainstorming, you come to the following conclusions: — Each parameter has its range of values, which can give you an idea of whether an athlete is suitable or not suitable for a marathon. — The parameter may have its dynamics: it may increase from month to month, stay the same, or decrease. — Each parameter can be assigned a score. For example, the step-per-minute rate can be: — 175 and above (+1 point) — 165–174 (0 points) — 164 and below (-1 point) And you do that with each parameter. What are these points for? To convert indicators that use different units into one measurement system. Thanks to this method, you can now compare apples to oranges. Then, you sum up all the points per month and get one single number — let's call it athletic strength. You like your thought process, and you apply this algorithm to every athlete’s table. Now, instead of dozens of parameters per month, you have one number (athletic strength) for each athlete. It looks like your task has been dramatically simplified. Next, to study the dynamics of athletic strength from month to month, you “ask” your computer to create a plot for each of the athletes. This chart shows that Athlete #1's athletic strength has fluctuated chaotically in the first three quarters of 2022, possibly due to the lack of regular training. But then you observe a positive trend, where athletic strength has grown from month to month. It seems like the athlete has taken up training. Then, to compare one athlete with another, you “ask” your computer to add the average value of athletic strength over the past six months (average pre-competition training period) to the existing plot. Now, you can use the most average recent value as a weighted score of athletic strength and compare athletes with each other based on this value. Thanks to this solution, you accelerate the analysis process by a magnitude: one athlete – one number. It appears that you can then simply sort the table by the highest athletic strength weighted score and consider the best athletes. However, not wanting to sort the table every time the data is updated or when you get new athletes, you make a better decision. The logic behind the points system implies that there is a maximum and a minimum possible number of points that one athlete can get. This allows you to create ranges of scores for athletes with excellent, mediocre, and poor training. For example, let’s say the maximum is 15 and the minimum is -15. Athletes with a score of 8 to 15 will be considered as strong, 1 to 7 – mediocre, and 0 to -15 – weak. That’s it! Now, thanks to this gradation, you can simply check which range the weighted athletic strength falls within, and decide whether each athlete will be admitted to the team. I believe that now your primary selection will take no more than one working day (including a lunch break). Now let's mentally replace athletes with public companies. Instead of data on health and athletic performance, we will have data from the companies’ financial statements and financial ratios. Applying a similar algorithm, we will get the fundamental strength of the company instead of athletic strength. I think it's time to show the Fundamental Strength Indicator . Let's launch! What do we see? — First, it is a Histogram with bars of three colors: green, orange, and red. The width of the histogram depends on the depth of data from the company statements. The more historical data, the wider the histogram over time. The green color of the bars means that the company has been showing excellent financial results by the sum of the factors in that period. According to my terminology, the company has a “strong foundation” during this period. Green corresponds to values between 8 and 15 (where 15 is the maximum possible positive value on the sum of the factors). The orange color of the bars means that according to the sum of factors during this period the company demonstrated mediocre financial results, i.e., it has a “mediocre foundation” . Orange color corresponds to values from 1 to 7. The red color of the bars means that according to the sum of factors in this period of time, the company demonstrated weak financial results, i.e., it has a “weak foundation” . The red color corresponds to values from -15 to 0 (where -15 is the maximum possible negative value on the sum of factors). — Second, this is the Blue Line , which is the moving average of the Histogram bars over the last year (*). Averaging over the year is necessary to obtain a weighted estimate that is not subject to medium-term fluctuations. It is by the last value of the blue line that the actual Fundamental Strength of the company is determined. (*) The last year means the last 252 trading days, including the current trading day. — Third, these are operating, investing, and financing Cash Flows expressed in Diluted net income. These flows look like thick green, orange, and red lines, respectively. — Fourth, this is the Table on the left, which shows the latest actual value of the Fundamental Strength and Cash Flows. Indicator settings: In the indicator settings, I can disable the visibility of the Histogram, Blue Line, Cash Flows (each separately), and Table. It helps to study each of the parameters separately. It is also possible to change the color, transparency, and thickness of lines. The movie Moneyball was released in 2011, where Brad Pitt plays the role of Billy Bean, the sports manager of the Oakland Athletics baseball team. With a small budget, he managed to assemble a high-scoring team based on the analysis of player performance. As a result, this approach was applied by other teams in the league, and Billy Bean received massive recognition from the professional community. Part 2: Benchmark Business Model One day, when I had already grasped the concept of the Fundamental Strength of a company, I was returning home from vacation. I was in a taxi and the driver was listening to an audiobook. As the drive took longer than an hour, I had nothing to do but listen to the story. I liked the content. It was a fictional novel with a plot centered around the main character named Alex Rogo. He is a manager of one of the three enterprises of the UniCo corporation. Even though Alex spends all his time and energy on work, things are not going very well for the company: over the past six months, the company has only had losses. This leaves Alex's executives no choice but to give him an ultimatum: if he can’t radically improve the situation in three months, the enterprise will be shut down, and he will be left without a job. At the same time, Alex's wife is tired of her husband’s absence in her personal life, so she decides to leave him. Anyway, the story's beginning turned out to be very dramatic, and I wondered how Alex would cope with all this. Luckily, in this stressful time, he meets his former physics teacher Jonah, who now consults companies regarding efficient production. Alex tells his old acquaintance about what’s going on and how he managed to increase labor productivity at the enterprise after purchasing new robots. However, the losses continue to hang over his head like the sword of Damocles. After listening to Alex's story, Jonah wisely suggests that the problem with his enterprise lies in the management is concerned about anything but the main goal of their business, which is creating money or profit. Jonah explains to Alex that all management ideas related to expanding the sales market, using new technologies, or improving product quality can lead the company to a disaster if fundamental things are not considered. In his opinion, management should only focus on three indicators: — Throughput , which is the rate at which a company makes money through sales. — Inventory , which is all the money invested by the company in assets: premises, equipment, patents, raw materials, etc.: that is, in something that can then be sold. — Operational expenses , which are all the money a company spends turning investments into cash, or something that can’t be sold, such as the salary of employees, the cost of rent, payment for delivery services, etc. Thus, the management’s job is to make improvements that will ultimately lead to an increase in Throughput and a decrease in Inventory and Operational expenses. For example, Alex’s purchase of robots to increase the number of products produced has led to an increase in production. However, suppose you look at it through the prism proposed by Jonah. In that case, we actually have the following picture: Inventory has increased, Operational expenses have not decreased (no one has been fired), and the robots can’t contribute to sales growth in any way (the Throughput is not increasing). As a result, this was not an improvement, but a deterioration. The accumulation of such bad decisions eventually leads to the unprofitability of the company. Conversely, continuous improvements that will increase the Throughput and reduce Inventory and Operational expenses will inevitably lead to achieving the main goal – making money. After I got home, I tried to find this book on the Internet. It turned out that it was written by physicist and philosopher Eliyahu M. Goldratt back in 1984. The novel is called The Goal . That’s when I realized that if the company's management adheres to the approach described by Goldratt, then after a while, we will most likely see a fundamentally strong company. And the Fundamental Strength Indicator clearly shows how much the management has succeeded along this path. For example, according to Goldratt, an increase in Throughput should lead to an increase in Earnings per share (EPS) and Total revenue . The reduction in Inventory may be linked with a decrease in Inventory to revenue ratio . Optimization of Operational expenses will definitely reduce the Operating expense ratio . All these parameters are considered when calculating the Fundamental Strength of the company. So, let's move on to the methodology for calculating the Fundamental Strength Indicator. The main idea that inspired me to create this indicator is: "Even if you buy just 1 share of a company, treat it like buying the whole business" . Guided by this approach, you can imagine what kind of business an investor is interested in owning and simultaneously determine the input parameters for calculating the indicator. For me, a benchmark business is: — A business that operates efficiently without diminishing the return on shareholders' investment. To assess the efficiency and profitability of a business, I use the following financial ratios(*): Diluted EPS and Return on Equity (ROE). The first two parameters for calculating the indicator are there. — A business that scales sales and optimizes its costs. From this perspective, the following financial ratios are suitable: Gross margin, Operating expense ratio, and Total revenue. Plus three other metrics. — A business that turns goods/services into cash quickly and does not fall behind on payments to suppliers. The following financial ratios will fit here: Days payable, Days sales outstanding, and Inventory to revenue ratio. These are three more metrics. — A business that does not resort to significant accounts payable and shows financial strength. Here I use the following financial ratios: Current ratio, Interest coverage, and Debt to revenue ratio. These are the last three parameters. (*) If you are keen to learn more about these financial ratios, I suggest reading my two articles on TradingView: Financial ratios: digesting them together What can financial ratios tell us? Next, each of the parameters is assigned a certain number of points based on its last value or the position of that value relative to the annual maximum and minimum. For example, if the Current ratio: — greater than or equal to 2 (+1 point); — less than or equal to 1 (-1 point); — more than 1 but less than 2 (0 points). Or for example, if Diluted EPS: — near or above the annual high (+2 points); — near the annual minimum and below (-2 points); — between the annual maximum and minimum (0 points). And so on with each of the parameters. As a result, the maximum number of points a company can score is 15 points. The minimum number of points a company can score is -15 points. These levels are marked with horizontal dotted lines: the green line is for the maximum value, and the red line is for the minimum. I track the number of points for each day of a company's life on a three-color Histogram. The resulting average value for the last year is on the Blue Line. For me, it is the last value of the Blue Line that determines: this is the actual Fundamental Strength of the company. As an additional filter, for example, when comparing two companies where all other conditions are equal: I use the dynamics of Cash Flows expressed in Diluted net income. These are the thick green, orange, and red lines over the Histogram. Examples: Below, I will evaluate various companies using the Fundamental Strength Indicator. Tesla, Inc. The indicator shows that since 2020, Tesla Inc. has been steadily increasing its Fundamental Strength (from 3.27 in Q1 2020 to 12.79 in Q1 2023). This is noticeable both by the color change of the Histogram from orange to green and by the rising Blue Line. If you look in detail at what has been happening with the financials during this time, it's clear what meaningful work the company has done. Revenues have almost quadrupled. Earnings per share have increased 134 times. At the same time, Total debt to revenue fell almost 10 times. Keurig Dr Pepper Inc. The company, formed in 2018 by the merger of Keurig Green Mountain and Dr Pepper Snapple Group, has failed to deliver outstanding financial results, causing its Fundamental Strength to fall from 4.63 in Q1 2018 to -0.53 in Q1 2023. During this period, the decline in diluted earnings per share was accompanied by higher debt and deteriorating liquidity. Costco Wholesale Corporation Wholesaler Costco has been surprisingly stable in its financial performance and with steady growth in both earnings and revenue. This is the reason the Histogram bars are exceptionally green throughout the calculation of the indicator. The Fundamental Strength has not changed in three years and is high at 11 points. Part 3: Company Cash Flow Dynamics The other day I came across an interesting article about the work of the Swiss company Glencore International AG in the 1990s. This company specializes in trading raw materials, and at that time it was actively trading with the countries that had left the USSR. None of those countries had foreign currency, and trust in local currencies had not yet appeared, so it was necessary to exchange commodities for commodities like in the Middle Ages. For example, to sell copper in Kazakhstan, a Swiss company bought raw sugar in Brazil, then took it to Ukraine for refining, then the refined sugar was exchanged for Siberian oil in Russia, then the oil was exchanged for copper ore in Mongolia, which was then sent to a plant in Kazakhstan to create copper suitable for sale on the world market. As we can see, money was used here only at the moment of purchase of raw sugar and sale of copper, the rest of the chain of transactions was an exchange of goods for goods. It turns out the following scheme: Money - Raw sugar - Refined sugar - Oil - Copper ore - Copper - Money' Of course, all of this made sense when Money' (with a stroke) equaled big money. Otherwise, the cost of preparing and executing such a complex transaction simply wouldn't have paid off. This example once again convinced me how significant a role money plays in any company's operations. Can you imagine the chaos that a business can become without money and having to make up similar supply chains? Money simplifies and accelerates all processes in a company, so competent management of these flows is the basis of an effective business. If you compare a company to a living organism, Cash Flow(*) is its circulatory system. It is thanks to this system that the company is supplied with everything it needs to produce goods or services. (*) If you are keen to learn more about Cash Flows, I suggest reading my two articles on TradingView: Cash flow statement or Three great rivers Cash flow vibrations Considering that cash flows play a fundamental role in the activity of any company, it is reasonable to assume that their analysis will give us the necessary information to decide. For this reason, an additional parameter was added to the Fundamental Strength Indicator : the dynamics of Cash Flows expressed in Diluted net income(*). (*) Since the value of income can be negative, the Diluted net income module is taken, that is, without the "minus" sign. Why do I use income as a unit of measure of Cash Flows? Because it is a good way to make the scale of indicator values the same for companies from different countries, with different currencies. It also allows you to use a single value scale for both Cash Flows and Fundamental Strength. So, let's take a look at how the dynamics of Cash Flows look like in the Fundamental Strength Indicator. These are three lines of different colors, which are located over the Histogram. Each of the flows corresponds to a specific color: — Operating cash flow: green line; — Investing cash flow: orange line; — Financing cash flow: red line. In this way, I can track the dynamics of the company's Cash Flow over time. To interpret the dynamics of Cash Flows, I pay attention to the following patterns: — How the cash flows are positioned in relation to each other; — In which zone each of the cash flows is located: in the positive or negative; — What is the trend of each of the cash flows; — How volatile each of the cash flows is. As an example, let's look at several companies to interpret the dynamics of their Cash Flows. John B. Sanfilippo & Son, Inc. This is the most ideal situation for me: operating cash flow (green line) is above the other cash flows, investment cash flow (orange line) is near zero and practically unchanged, and financial cash flow (red line) is consistently below zero. This picture shows that the company lives off its operating cash flow, does not increase its debt, does not spend a substantial amount of money on expensive purchases, and retains (does not sell off) assets. Parker Hannifin Corporation With stable operating cash flow (green line), the company implements investment programs by raising additional funding. This is noticeable due to an increase in financial cash flow (red line) and a simultaneous decrease in investment cash flow (orange line) with a significant deepening into negative areas. Apparently, there is not enough operating cash flow to realize the planned investments. One has to wonder how sustainable a company can be if it invests in its development using borrowed funds. Schlumberger N. V. The chaotic intertwining of cash flows outside the Fundamental Strength range (-15 to 15) is indicative of the company's rich life, but to me, it is an indicator of high riskiness of its actions. And as we can see, Fundamental Strength has only begun to strengthen in the last year, when the external appearance of cash flow has normalized. Thus, when the Fundamental Strength of two companies is equally good, I use an additional filter in the form of Cash Flow dynamics. This helps me to clarify my interest in this or that company. What is the value of the Fundamental Strength Indicator: — allows for a quantitative assessment of a company's financial performance in points (from -15 to 15 points); — allows you to visually track how the company's financial performance has changed (positively/negatively) over time; — allows to visually trace the movement of main cash flows over time; — accelerates the process of selecting companies for your shortlist (if you are focused on financial results when selecting companies); — allows you to protect yourself from investing in companies with weak and mediocre fundamentals. Mandatory requirements for using the indicator: — works only on a daily timeframe; — only applies to shares of public companies; — company financial statements for the last 4 quarters and more are required; — it is necessary to have the data from the Balance sheet, Income statement, and Cash flow statement, required for the calculation. If at least one component required for calculating the Fundamental Strength is missing, the message "no data to calculate the Fundamental Strength correctly" is displayed. In the same case, but for the operating cash flow, the message "no data to calculate the Operating Cash Flow correctly" is shown, and similarly for other flows. Risk disclaimer: When working with the Fundamental Strength Indicator and the additional filter in the form of Cash Flows, you should understand that the publication of the Balance sheet, Income statement, and Cash flow statement takes place sometime after the end of the financial quarter. This means that new relevant data for the calculation will only appear after the publication of the new statements. In this regard, there may be a significant change in the values of the Indicator after the publication of new statements. The magnitude of this change will depend both on the content of the new statements and on the number of days between the end of the financial quarter and the publication date of the statements. Until the date of publication of the new statements, the latest relevant data will be used for calculations. I would like to draw your attention to the fact that the calculation of Fundamental Strength and Cash Flows requires the availability of data for all parameters of the valuation model . It uses data that is exclusively available on TradingView (there is no reconciliation with other sources). If at least one parameter is missing, I switch to another company's analysis to continue using the indicator. Thus, the Fundamental Strength Indicator and an additional filter in the form of Cash Flows make it possible to evaluate the financial results of the company based on the available data and the methodology I created. A simple visualization in the form of a three-color Histogram, a Blue line, and three thick Cash Flow lines significantly reduces the time for selecting fundamentally strong companies that fit the criteria of the selected model. However, this Indicator and/or its description and/or 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
How to use call option buy or sell indicatorHello Traders, Exciting news! We've just released a detailed video guide on how to harness the full potential of Chobotaru Brothers Option Indicators. In this short tutorial, we cover everything you need to know to use the indicator, specifically focusing on out-of-the-money call options. Here's what you'll discover in the video: 1. Adding the Indicator to Your Chart: Learn the simple steps to seamlessly integrate Chobotaru Brothers Option Indicator into your trading view for a clear and concise analysis. 2. Finding Option Parameters: Navigate through your broker's option chain on platforms such as Interactive Brokers to locate all the essential parameters needed for effective trading decisions. 3. SEE the Lines of Profit: Gain a deep understanding of the meaning behind each line of profit displayed by the indicator, empowering you to make informed choices based on market movements. 4. Utilizing Lower Timeframes (Example of 5m and 30m): Explore the versatility of Chobotaru Brothers Option Indicator by discovering how it can be effectively applied to lower timeframes like 5 minutes and 30 minutes. 5. LIVE Example: Out-of-the-Money Call Option: Follow along with our real-time example using an out-of-the-money call option, providing practical insights into how EASY is the indicator's functionality and application in a live trading scenario. We've designed this tutorial to be beginner-friendly, ensuring that traders of all levels can seamlessly integrate Chobotaru Brothers Option Indicators into their trading arsenal. Watch the video, enhance your trading skills, and unlock the potential for greater success in the options market. If you find the video helpful, don't forget to like, follow, and share it with your fellow traders. Happy trading, and may your profits soar! Best regards, Chobotaru Brothers
NASDAQ:NVDAEducation
by ZoharCho
The most subjective facet of my decision-making systemIn the previous publication I started talking about my decision-making system. I use it when investing in stocks. This system allows me to answer three questions: - which stocks to choose? - at what price to make a trade? - and in what quantity? In this post, I will continue to answer the question Which stocks to pick? and tell you about another facet of my crystal. As you can see, my decision-making system is quite formalized. What do I mean? It has clear criteria for which a company must be checked before investing in its stocks. If we go deeper into this idea, we can say that the state of affairs in any public company can be assessed using numbers from its statements and stock exchange prices for its stocks. All this can be visualized, put into a form that is readable for the investor, and accelerate the decision-making process many times over. However, there is an area with information that hovers around the companies, directly or indirectly influences it, but is poorly formalized: this is News . News can be called a message related to a company and distributed through its website, media, and social networks. This message triggers an almost knee-jerk reaction among stock investors (and traders). They will try to interpret the information received, make a forecast, and in some cases even make a trade. It is for this reason that the moment the news is published is often accompanied by a sharp movement in the stock price and an increase in trading volume. The order book now has a lot more players than before. These are traders excited by the news, confident of what will happen next. Here I can’t help but recall the allegory about Crazy Mister Market from Benjamin Graham. It presents the market as a partner who is constantly knocking on your door and offering you crazy ideas (stock prices). Where does this mister get his madness from? My answer is simple — from the news. Despite this, I cannot help but pay attention to the news, I cannot help but interpret it, to build predictions in my head. This happens reflexively, as a reaction to boiling water hitting my skin. However, will I make a trade under the influence of this information? We'll talk about this at the end of the post. Let's find out what news is available and where to find it. In this publication, I will only consider matters relevant to the stock market. That is information that can directly or indirectly affect the state of affairs in the companies. As I work, I divide the news flow into two categories: macro-event and corp-event . A macro-event is something that can indirectly impact the state of affairs in a company since it impacts the external environment in which it lives. For example: 1. In the third quarter, US GDP grew by 4.9% year-on-year, which was better than expected (*). GDP Dynamics are a general economic indicator of economic growth in a particular country. This event only indirectly affects the business of the US companies. In other words, a company can be unprofitable even if the GDP in the country of its business is growing. (*) In the news, you will often see the following wording: - better than expected - worse than expected - as expected These are significant clarifications since it is believed that the exchange price already considers expectations for future events. Therefore, the coincidence with expectations will most likely be perceived calmly by market participants. Conversely, price fluctuations can be significant if the news can be qualified as a “surprise”. 2. The EPA is setting rules for a proposed “methane fee” on waste generated by oil and gas companies. This news also refers to macro events, as it impacts an entire industry: the oil and gas business. Moreover, please note that methane fee is only suggested. That is, it is not at all a fact that it will ultimately be implemented. Unlike macro events, a corp-event directly affects the state of affairs in the companies. Let's look at some of them. For example: 3. Hilton's (HLT) 3rd quarter Profit was in line with revenue forecasts. The news contains information about Hilton's financial results for the 3rd quarter. Of course, this directly impacts investors’ assessment of the company's prospects, and therefore the volume of investment in it. 4. Devastating wildfires have forced California's largest utility, Pacific Gas and Electric Company, to plan the sale of gas assets. Based on the news headline, we can conclude that the company is considering selling a significant part of its business (since the word “gas” even appears in the company name) to compensate for the damage from the devastating fires. Of course, this directly points to the difficult situation in the companies. Well, we figured out which news is considered a macro-event and which is a corporate event. Now let's find them where we need to. First, let's look at the event calendars that are available on TradingView. They are convenient because they inform us in advance what event to expect on the date in question. Let's start with the ⁣Economic calendar . You can find it in the main TradingView Products menu (Products -> Economic calendar ). This calendar shows upcoming publications of key macroeconomic indicators such as GDP, ⁣ interest rate, unemployment, and inflation. It will also reflect national events — for example, presidential elections. Thus, you will only see macro events in it. Click on globe and select the country you are interested in, a group of countries, or the whole world: this way you will filter events by geography. If you are interested in tracking only important events, there is a special button for this High importance . There is also a three-column importance indicator next to each event. If all are shaded, the event is of maximum importance. You can expand any event, read information about it, view statistics, and even add it to your personal calendar. In terms of importance, the higher the importance of the event, the stronger the market reaction may be after the information is released. Furthermore, the strength of the reaction will depend on how much reality diverges from expectations for this event (with the forecast). Please note that the current value published is published to the left of the forecast, and the value for the previous period is published to the right. This allows you to evaluate the released metric over time. So, my standard set of filters for the economic calendar is: - Geography: all over the world; - High importance; - This week; - All categories. The economic calendar has been set up. There is another calendar on TradingView: this is Earnings calendar . It is located in the interface for working with Supercharts and, of course, is intended for analyzing corporate events. Once you go to the chart, click on the calendar icon in the menu on the right, and the events panel will open in front of you. The Earnings calendar will contain the names of the companies, their next reporting date, and analysts' estimates of earnings per share: EPS. In its meaning, this estimate is an average expectation or forecast. Therefore, any strong discrepancy between current data and the forecast value can greatly change the value of the company's stocks. By the way, you can check this simply by clicking on the company's name in the calendar: the window with the stock price chart will update instantly. The released earnings per share value can be viewed both on the chart itself and in the company's information (the top menu button on the right). The current value will be marked with either a red circle (below the forecast) or a green circle (above the forecast). The gray circle indicates the forecast itself. Calendars are convenient because they present us with the main essence of the news in a compressed, digitized form. The description of such news is not as important as the value of the key indicator. However, if you want to read classic text news about a related company, simply click on the lightning bolt icon on your chart. You can also find news grouped by asset class, region, news agency, etc. in the main menu of the TradingView site's root page. Of the groups presented, I most often use News Flow to get a general context of what is happening. Returning to my decision-making system, there is news (let's call it critical ) that can trigger the closure of a position or non-opening of a position in the shares of a particular company, even though the main indicators do not suggest this. To determine such news, I ask myself three questions: 1. Do I trust this news source? We are surrounded by many sources of news: social networks, news sites, television, etc. It’s easy to check everyone’s reputation on the Internet. Therefore, to take the news into account, you must trust its source. If you see significant news about a company, but it is not in reputable media resources and/or on the company's website, this is a reason to think whether the source is trying to increase its popularity through a loud headline and unverified content. 2. Does this news describe an accomplished fact? Even in reputable publications, you can find publications with versions of events, forecasts, and opinions. This is good food for thought. However, when deciding, I constantly try to separate the standpoint from the fact confirmed by a reliable source. Only facts can be considered when deciding. 3. Is an accomplished fact capable of leading the company to bankruptcy? This is a difficult question that requires an assessment of the company's economic damage, and its comparison with the level of total debt to creditors and current assets. Even if a company is facing bankruptcy, it can be saved by providing assistance from the government or other businesses. Answering this question, I can listen to the opinions of analysts and my intuition. Therefore, this is the most subjective facet of my decision-making system. I just have to tell myself: “Yes, this fact can lead the company to bankruptcy” or vice versa: “No, this news is bad, but it does not pose a critical threat to the business.” So, if I answer “yes” to all three questions, then I can close a position in the shares of a particular company or not open it, guided simply by my “yes, this should be done.” The fact is that critical news comes out now, and reporting on a specific date in the future: there is a time gap between these events. Therefore, I find myself in a situation where I just need to decide and evaluate it later, in the future, based on published reports. It is similar to flying an airplane that fails during transit. The pilot may not fully understand what happened, but the choice must be made right now. If I answer “no” to any of the three questions, then I continue to use other facets of my “crystal” in standard mode, and leave the news “just for my information.” In future publications, I will continue to elaborate on my decision-making system and share my approach to choosing the price and quantity of a stock trade.
SP:SPXEducation
by Be_Capy
SIMPLE RULE BASED Structure FOR BEGINNERS☝️The main purpose of my resources is free, actionable education for anyone who wants to learn trading and improve mental and technical trading skills. Learn from hundreds of videos and the real story of a particular trader, with all the mistakes and pain on the way to consistency. I'm always glad to discuss and answer questions. 🙌 ☝️ALL videos here are for sharing my experience purposes only, not financial advice, NOT A SIGNAL. YOUR TRADES ARE YOUR COMPLETE RESPONSIBILITY. Everything here should be treated as a simulated, educational environment.
Education
by Yelli_trades
1
Mastering Stop-Loss with ATR IndicatorMastering Stop-Loss and Take-Profit with ATR Indicator What is the ATR Indicator? The Average True Range (ATR) indicator is a nifty tool that helps traders gauge the market's volatility. Simply, it tells you how much an asset typically moves in a given timeframe. Placing Stop Loss to Avoid Getting Stopped Out Step 1: Identify ATR Value Look at the ATR indicator on your chart; it's usually at the bottom or top of your screen. Note the ATR value; the higher it is, the more volatile the market. Step 2: Setting Stop Loss Set your stop loss beyond the ATR value to avoid getting prematurely stopped due to regular market fluctuations. For instance, if the ATR is 50, consider placing your stop loss at least 60 points away to give your trade room to breathe. Understand ATR's Role ATR not only helps with stopping losses but also guides in setting realistic take-profit levels. It gives you an idea of how much the asset can move in a given time, assisting you in capturing profits before a potential reversal. Final Tips for Beginners Adapt to Market Changes: ATR values change as market conditions shift. Stay adaptable and reassess your stop-loss and take-profit levels accordingly. Practice on Demo Accounts: Before diving into live trading, practice using the ATR indicator on demo accounts. Gain confidence and refine your strategy without risking real money. In essence, the ATR indicator is your ally in navigating market volatility. By using it wisely, you can enhance your risk management, safeguarding your trades from unnecessary stop-outs while optimizing your profit potential. Happy trading! 📈✨
VANTAGE:SP500Education
by Elite_Forex
Use modern tools to automate your trading.My partner @Mayfair_Ventures and I like innovation, but we have been sceptical of bot-driven trading. This if for one simple reason. If it was available and consistently profitable, then someone would be doing it, then others would find out, then everyone would be doing it. No one would need a job. If you know about chaos theory, then you'll recognise trading as one example of where it fits. Chaotic things are inherently extremely hard to predict, as a rule. The best we can do is predict small amounts, like what the weather may do this afternoon. What it's going to do in 5 days' time is exponentially harder. Let's stick to the "we can predict this afternoon" model. At this level I think bots can be useful, and recently we've been looking at short-term trading on the 1 minute time-frame (Even though we don't recommend it) because people always ask us about it. There are a couple of streams here.. www.tradingview.com www.tradingview.com Now to automation. We started to mess around with @TradingView indicators and web hooks first. Web hooks allow you to propagate alerts from TradingView to an outside platform, like your phone, or email, whatever. Best of all, you can do it from your custom indicators as well. Then we thought: "how about just letting our indicator do the trade, so we can carry on with our round of golf"? As long as the timing is right, in other words, if we were at the screen we would take the trade, this makes sense. We can make our indicator only send signals at certain times of day, or whatever other thing we can think of. There are a few programs that will do this. I had a look at one from 3Commas. Others exist but I haven't looked at them yet. It takes the signal just like your phone does. You need to add your exchange (I use Binance) to it. I write 2 bots using simple templates they supply. One to go long, one to exit the long. You don't need an stop loss because it knows your max risk and does it for you. I set alerts based on my indicator (yes you have to get ChatGPT to make an indicator for you or write one!), not a price, so when my indicator is hit, the alerts fire and whichever bot is connected to the alert bot does a trade. That's it. I am playing about with it on a demo account first, because I am not an idiot. Yes it's true, ChatGPT can write Pinescript. It gets it wrong sometimes, but just tell it and it tries to fix it.
COINBASE:BTCUSDEducation
by Paul_Varcoe
1
Altseason Indicator. Capitalization excluding BTC ETH USDT USDCLogarithm. Time Frame 1 week. Understanding the capitalization and growth potential of altcoins without BTC ETH and top steiblcoins USDT, USDC and DAI gives a brighter and more accurate picture of the timing of the start and development of that long-awaited altcoin season of more pronounced scale than now on 16 10 2023 - at the time of publication 8 12 2023. 1) The capitalization of these assets has long been in a squeeze - consolidation, this is a direct correlation with the accumulation zones. We are conventionally in the final phase of accumulation (almost). 2) Please note that there has been no real capitulation (perhaps there will not be, and if there is, it will be V figuratively, but that is not the point). Very much emphasize your attention to the timing of the length of this phase and past late 2018 and 2020. 3) Also note to your eye that at that time 2018-2020 there was not such a big capitalization outperformance from the rest of the BTC and ETH market. Compare that to the situation now, how much other altcoins are "undervalued" speculatively. You also need to realize that there is a correlation with stablecoins and their huge portion of the overall market compared to the time before. How to enter these parameters on tradingview? . In order to capitalize alts from TOTAL3 (initially without capitalization of BTC and ETH) and exclude all large-capitalization stablecoins from it, you need to do the following: In the ticker entry line in tradingview write: CRYPTOCAP:TOTAL3-CRYPTOCAP:USDT-CRYPTOCAP:USDC-CRYPTOCAP:DAI . Accordingly, a chart is created that subtracts the capitalization of the designated stablecoins (USDT, USDC, DAI) from TOTAL 3.
CRYPTOCAP:TOTAL3Education
by SpartaBTC
Understanding Lagging and Leading Indicators in CryptocurrencyIn this article, we'll explore the concepts of leading and lagging indicators, common examples, and delve into the specific indicators within crypto transactional data. 💜 If you appreciate our guides, support us with boost button 💜 What Are Leading and Lagging Indicators? Before we dive into the crypto-specific details, let's establish the basics. In the realm of technical analysis, indicators for traditional financial assets are often categorized as Leading, Lagging, or Macro. Leading Indicator: Points towards the potential future direction of the price. Lagging Indicator: Confirms patterns in prices after they have formed. Both types of indicators play a crucial role in understanding market dynamics and making informed trading decisions. Common Examples of Leading & Lagging Indicators To illustrate, let's examine two common examples: Relative Strength Index (RSI): A leading indicator, RSI hints at whether the market is becoming overbought or oversold. Moving Averages: A lagging indicator that relies on historical data, providing a retrospective view of average price behavior. Crypto-Specific Leading Indicators 1. Mining Data Mining, the backbone of the Bitcoin network, involves running the hashing algorithm to secure transaction integrity. Key indicators include: Hash Rate: Indicates the network's strength; a higher hash rate implies a more robust Bitcoin network. Mining Distribution: Assess whether mining concentration is increasing, potentially impacting network decentralization. Transaction Fees: Offers insights into user types and potential adoption trends. 2. Network Activity A proxy for customer data, network activity includes: Number of Addresses: Reflects user engagement. Transactions per Second: Indicates transactional activity levels. Average Transaction Value: Provides insights into transaction sizes. 3. Scarcity Bitcoin's scarcity is a fundamental characteristic, and the Stock-to-Flow model gauges this relationship: Stock-to-Flow (SF): Measures scarcity by assessing the ratio of existing stocks to new stocks. 4. Broader Ecosystem Data Metrics from various sources like Blockchain.com, Glass Node, and Woo Bull Charts offer insights: Market Value vs Realised Value (MVRV): Measures the market value of Bitcoin relative to its last price movement, indicating user hoarding behavior. Wallet and Exchange Data: Tracks metrics like wallet downloads and exchange customer growth. Macro Indicators in Crypto 1. The Dollar Index (DXY) The DXY measures the US Dollar against other currencies, showing a correlation with Bitcoin: A falling DXY suggests dollar weakness, potentially driving investors towards Bitcoin as a store of value. 2. Stock Markets Bitcoin's relationship with stock markets is complex: Currently correlated due to similar investment behaviors in search of yield. A changing relationship could indicate shifts in broader market dynamics. 3. Bond Yields Bond yields act as a macro indicator: Increasing bond yields are a leading indicator of inflation, potentially affecting Bitcoin positively due to its store of value characteristics. While these indicators operate in the short term, the Fundamental Analysis, exploring broader measures of adoption and influence on prices. Understanding both technical and fundamental aspects is essential for navigating the dynamic landscape of cryptocurrency trading.
Education
by Vestinda
HOW-TO apply an indicator that is only available upon request?Recently, I've realized that my typical day involves constant encounters with indicators. For example, when the alarm clock rings, it's an indicator that it's morning and time to get up. I am checking the phone and once again paying attention to the indicators: battery charge and network signal level. I figure out in just one second that such a complex element of the phone as the battery is 100% charged and the signal from the cell towers is good enough. Then I’m going out on a busy street, and it's only because of the traffic light indicator that I can safely cross the road to reach the parking lot. Looking at the on-board computer of my car, with its many indicators, I know that all the components of this complicated mechanism are working properly, and I can start driving. Now, imagine what would happen if none of this existed. I would have to act blindly, relying on luck: hoping that I would wake up on time, that the phone would work today, that car drivers would let me cross the road, and that my own car would not suddenly stop because it ran out of gas. We can say that indicators help to explain complex processes or phenomena in simple and understandable language. I think they will always be in demand in today's complex world, where we deal with a huge flow of information that cannot be perceived without simplifications. If we talk about the financial market, it's all about constant data, data, data. Add in the element of randomness and everything becomes totally messed up. To create indicators that simplify the analysis of financial information, the TradingView platform uses its own programming language — Pine Script . With this language, you can describe not only unique indicators, but also strategies — meaning algorithms for opening and closing positions. All these tools are grouped together under the term "script" . Just like a trade or educational idea, a script can also be published. After this, it will be available to other users. The published script can be: 1. Visible in the list of community scripts with unrestricted access. Simply find the script by its name and add it to the chart. 2. Visible in the list of community scripts, but access is by invitation only. You'll need to find the script by its name and request access from its author. 3. Not visible in the list of community scripts, but accessible via a link. To add such a script to a chart, you need to have the link. 4. Not visible in the list of community scripts; access is by invitation only. You'll need both a link to the script and permission for access obtained from its author. If you have added to your favorites a script that requires permission from the author, you'll only be able to start using the indicators after the author includes you in the script's user list. Without this, you will get an error message every time you add an indicator to the chart. In this case, contact the author to learn how to gain access. Instructions on how to contact the author are located after the script's description and highlighted within a frame. There you will also find the 'Add to favorite indicators' button. The access can be valid until a certain date or indefinitely. If the author has granted access, you will be able to add the script to the chart.
NASDAQ:TSLAEducation
by Be_Capy
Interpreting RSI (Relative Strength Index)The Relative Strength Index (RSI) is a momentum indicator that measures the speed and magnitude of price movements. It is a versatile tool that can be used to identify overbought and oversold conditions, as well as divergences and trend strength. Overbought and Oversold Conditions The RSI oscillates between 0 and 100. Traditionally, the RSI is considered overbought when above 70 and oversold when below 30. These levels are not set in stone, and they can vary depending on the security and the market conditions. However, they are a good starting point for identifying potential buying and selling opportunities. Overbought: An RSI reading above 70 indicates that the security is overbought, which means that it has been trading up rapidly and may be due for a correction. However, it is important to note that the RSI can stay in overbought territory for an extended period of time before a correction occurs. Overbought RSI indicator ETHUSD(Day Chart) As you can see in the chart, when the RSI indicator hit the 70 level, the price started dropping continuously. Oversold: An RSI reading below 30 indicates that the security is oversold, which means that it has been trading down rapidly and may be due for a bounce. However, like with overbought conditions, the RSI can stay in oversold territory for an extended period of time before a bounce occurs. Oversold RSI indicator BTCUSD (weekly Chart) As you can see in the chart, when the RSI indicator hit the 30 level, the price started bouncing from the bottom level. The RSI indicator has accurately predicted the bottoms of Bitcoin's major bear markets in 2015, 2018, and 2022. Stay tuned for more updates on this topic. Regards Hexa
INDEX:BTCUSDEducation
by HexaTrades
2
5 Technical Indicators for Smart TradingNavigating the intricate world of trading requires a keen understanding of technical indicators. These powerful tools serve as guiding stars, illuminating market trends and potential entry or exit points. Today, we unravel 5 top technical indicators that stand as pillars in the realm of trading. Whether you're a beginner seeking foundational knowledge or an experienced trader aiming to refine your strategy, consider these indicators to enhance your analysis. 1. Moving Averages: Riding the Waves of Market Trends Moving Averages (MA) are foundational tools in technical analysis, smoothing out price data to identify trends over specific periods. Simple Moving Averages (SMA) provide straightforward trend indications, while Exponential Moving Averages (EMA) offer more weight to recent prices, making them highly responsive to market shifts. Traders often use crossovers between different MAs to pinpoint entry and exit points and utilize different lengths on different time frames. One common way traders use MA’s is to identify the overall trend using one or two moving averages. 2. Relative Strength Index (RSI): Gauging Overbought and Oversold Conditions RSI measures the speed and change of price movements. It oscillates between zero and 100, traditionally using levels of 70 for overbought and 30 for oversold. Traders interpret divergences between RSI and price movements, seeking potential reversal points. Additionally, hidden divergences, where RSI disagrees with the underlying trend, are valuable for trend continuation strategies. 3. Bollinger Bands: Embracing Volatility for Profitable Trades Bollinger Bands consist of a middle line being an MA (often 20 period) and two outer bands representing standard deviations from the middle band. Volatility increases the distance between the bands, offering a visual representation of market volatility. When the price touches the upper band, it signals potential overbought conditions, while touching the lower band indicates potential oversold conditions. Traders also observe "band squeezes" as precursors to significant price movements. 4. Moving Average Convergence Divergence (MACD): Capturing Trend Changes The Moving Average Convergence Divergence (MACD) is a trend-following momentum indicator that highlights the relationship between two Moving Averages (MAs). The MACD line represents the difference between a short-term EMA (often 12 periods) and a long-term EMA (typically 26 periods). The signal line, usually a 9-period EMA of the MACD line, acts as a trigger for buy and sell signals. Traders observe MACD crossovers, where the MACD line crosses the signal line, as potential entry points. Additionally, MACD histogram bars visualize the distance between the MACD and its signal line, offering insights into the strength and direction of a trend. By understanding these components, traders gain a nuanced understanding of potential trend changes and momentum shifts. 5. Average Directional Index (ADX): Measuring Trend Strength The Average Directional Index (ADX) is a trend strength indicator that quantifies the strength of a market trend without specifying its direction. Typically, an ADX above 25 indicates a strong trend, while below 20 suggests a weak trend. Traders use ADX crossovers and divergences with the price chart to distinguish between trending and ranging market conditions. A rising ADX suggests a strengthening trend, while a falling ADX may indicate a weakening trend strength. Combining ADX with other technical indicators enhances a trader's ability to identify robust trends and potential reversals, providing a more comprehensive view of market dynamics. Wrapping Up: This article scratches the surface of the indicators listed, there are whole books written on some of them. We have gone more in-depth with most of these indicators in our previous articles. We have linked those articles below if you would like to learn more about any of these foundational indicators. Remember, while these indicators provide valuable data, combining them with a robust risk management strategy, other indicators for confirmation, and a deep understanding of market fundamentals ensures a holistic approach to successful trading. Happy Trading!
NASDAQ:AMZNEducation
by LeafAlgo
Indicator idea " USX "USX is the average of NAS100 , SPX500 and US30 (all from BLACKBULL data provider). ( average of the 3 Open = O ), ( average of the 3 High = H), ( average of the 3 Low = L), ( average of the 3 Close = C), Plotted as candles using thoses OHLC, making a chart representing the average price action of indexes. It is preferable to use on 15m TF (read the ORB part below). Usage and inputs : - An important part is the ORB box (Opening Range Breakout) sometime reffered as OPR (Opening Price Range). This plot a box based on market opening candle (NY time, 15m) high & low. This box will be colored green if close is above the half value of the box and red if below. A basic strategy for Stocks and Indexes traders is to wait after open that the price break that 9h30 to 9h45 range an enter accordingly for a scalp in the dominant direction. ( Doesn't work everytime, even less for crypto, but i've been using this tool on each separate index for some time and let me tell you, at NY open the world is always somehow correlated to what happen in Wall Street. ) - Additionnal sma21,55,89 and AMA (the average of the 3 sma). Optionnal trend confirmation based on the position of close relative to the 3 sma (simultanously above or below) and colored background assiociated. - The possibility to use VERY lengthy (tweakable) RSI rather than standard average $ values but it's not very effective as the candles look awful (on any big timeframes)... - In the input you can adjust the % of each of the 3 index in the total from 0% to 100%, so you can, for exemple put NASDAQ % IN INDEX more important than S&P % and DOWJONES even lower (as Crypto-currencies are generally more related to Tech sector). That's it for now, Don't hesitate to ask question, even if I've already said too much... PS: That only an idea, yes the indicator is created and functionnal. Maybe i'll publish it, probably free + open source as i anyway explained everything ;) Peace, may the profit be with you all
BINANCE:BTCUSDEducation
by LOKEN94
2
Dealing with News releasesUse any economic calendar to monitor news releases. (forexfactory, myfxbook). Below is how I adapt to news when trading my personal edge, including the pairs GBPUSD, EURUSD, AUDUSD and XAUUSD in my times. If you have tested pairs with other currencies, for example with CAD etc, make sure to be aware of related news there too. Which news do I adapt to: 💀 USD high impact news - I have closed out any trades on any of my pairs before the news release, regardless of if I am in deep profit or loss on the trade. I do not enter trades on any of my pairs within 30 mins before or after a high impact USD news release. 💀 GBP high impact news - I have closed out any trade on a GBP or EUR trade before the news release, regardless of if I am in deep profit or loss on the trade. I do not enter trades on any GBP or EUR pair within 30 mins before or after a high impact USD news release. If the news release is CPI/ Inflation or Interest Rates, I also close out/ don’t enter trades on all my other pairs too. 💀 EUR high impact news - I am not concerned about EUR news as it does not tend to affect my pairs much in my experience. The only EUR news I close out/ do not enter trades on is Inflation/ CPI. Note the EUR news only applies to news on the economic calendar with the European flag next to it - not the random countries within the EU, such as Germany, Italy etc.
Education
by algoat
Top 10 Trading IndicatorsWelcome to the dynamic world of trading indicators! These meticulously crafted metrics, born from the intersection of mathematics and market psychology, offer traders a distinct advantage by transforming raw market data into actionable intelligence. Join us as we embark on a journey through the top 10 trading indicators, exploring their intricacies, strengths, and applications in deciphering the ever-shifting landscape of global markets. Whether you're a seasoned trader seeking to refine your strategies or a novice investor eager to grasp the essentials, this exploration promises to illuminate the fascinating realm of trading indicators and their pivotal role in the pursuit of financial success. 1. Moving Averages (MA) The Moving Average often referred to as the SMA (Simple Moving Average), serves as a valuable tool for discerning the prevailing direction of a current price trend, while filtering out short-term price fluctuations. Through a calculated amalgamation of price points over a defined time span, divided by the total data points, the MA indicator presents a singular trend line that encapsulates the overall trajectory. The timeframe utilized for the MA computation dictates the dataset employed. For instance, a 200-day MA necessitates 200 days' worth of data. By harnessing the insights offered by the MA indicator, one can delve into the realm of support and resistance levels, gaining insights from past price movements and the market's historical evolution. This, in turn, facilitates the anticipation of potential future patterns with enhanced precision. 2. Average True Range (ATR) The Average True Range (ATR) is a widely used technical indicator designed to measure market volatility and assess potential price movement within a given trading period. Developed by J. Welles Wilder, ATR offers traders insights into the range of price fluctuations, accounting for both intraday price spikes and overnight gaps. Unlike many other indicators, ATR does not provide directional signals but instead focuses on quantifying volatility levels. ATR is computed by considering the true range for each trading period, which involves calculating the greatest value among three key metrics: the difference between the high and low prices of the current period, the absolute value of the difference between the previous period's high and the current period's close, and the absolute value of the difference between the previous period's low and the current period's close. These true range values are then smoothed over a specified number of periods, often 14, to create the ATR line. Traders employ the ATR indicator for multiple purposes. It aids in setting stop-loss levels, as larger ATR values suggest increased volatility and the potential for wider price swings. Additionally, ATR can assist in determining position sizing, with lower volatility suggesting smaller trade sizes and vice versa. Overall, ATR provides a valuable quantification of market volatility, enabling traders to adapt their strategies to prevailing market conditions and manage risk more effectively. 3. Stochastic oscillator The Stochastic Oscillator is a momentum-based technical indicator that offers traders insights into potential trend reversals and overbought or oversold conditions in a market. Developed by George C. Lane, this oscillator compares the most recent closing price of an asset to its price range over a specified period, typically 14 periods. The resulting value, often expressed as a percentage, indicates the relative position of the closing price within that range. The Stochastic Oscillator comprises two lines: %K, the faster line that represents the current price's relationship to the recent range, and %D, a smoothed moving average of %K, providing a more stable signal. Traders commonly use the Stochastic Oscillator to identify potential turning points in price trends. When the oscillator ventures into the overbought zone (typically above 80), it suggests that the asset might be overvalued, potentially signaling an impending price reversal or correction. Conversely, readings in the oversold zone (typically below 20) indicate potential undervaluation and may signal an upcoming price bounce. By analyzing the crossovers, divergences, and relationships between %K and %D, traders can derive valuable insights into the market's underlying momentum, facilitating more informed trading decisions and strategic entries or exits. 4. Moving average convergence divergence (MACD) The Moving Average Convergence Divergence (MACD) is a versatile and widely used technical indicator that provides traders with insights into trend direction, momentum shifts, and potential buy or sell signals. Created by Gerald Appel, the MACD consists of two main components: the MACD line and the signal line. The MACD line is derived from the difference between two exponential moving averages (usually 12-period and 26-period EMAs), reflecting the convergence or divergence of short-term and long-term price trends. The signal line, often a 9-period EMA of the MACD line, acts as a trigger for potential trade entries or exits. Traders leverage the MACD for various purposes. When the MACD line crosses above the signal line, it generates a bullish signal, indicating a potential upward price momentum and suggesting a favorable buying opportunity. Conversely, when the MACD line crosses below the signal line, a bearish signal is generated, suggesting a potential downward trend and a possible selling opportunity. Additionally, traders analyze the MACD histogram, which represents the difference between the MACD line and the signal line, providing insights into the strength and intensity of price momentum. With its ability to capture both short-term and long-term trends, the MACD remains a valuable tool for traders seeking to navigate complex market dynamics and make well-informed trading decisions. 5. Bollinger bands (BB) Bollinger Bands, a cornerstone of technical analysis, provide traders with a unique perspective on price volatility and potential trend reversals. Created by John Bollinger, this indicator comprises three distinct lines that encapsulate price action: the middle band, typically a simple moving average (SMA), and an upper and lower band, which flank the middle band at a specified standard deviation distance. The width between the upper and lower bands dynamically adjusts according to market volatility, expanding during periods of heightened price swings and contracting during calmer phases. These bands offer traders invaluable insights into market dynamics. When prices gravitate towards the upper band, it suggests potential overbought conditions, signifying that prices might have risen too far, too fast, potentially foreshadowing a reversal or corrective move. Conversely, when prices approach the lower band, it indicates potential oversold conditions, implying that prices might have fallen excessively and could be due for a rebound. Additionally, traders scrutinize Bollinger Band squeezes, characterized by a contraction of the bands, as they often precede significant price breakouts. By incorporating Bollinger Bands into their analytical toolkit, traders gain a nuanced understanding of price movements and volatility patterns, enabling them to make more informed decisions and better navigate the intricacies of financial markets. 6. Relative Strength Index (RSI) The Relative Strength Index (RSI) stands as a pivotal momentum oscillator in the realm of technical analysis, offering traders a comprehensive measure of an asset's strength and potential overbought or oversold conditions. Conceived by J. Welles Wilder, the RSI compares the magnitude of recent price gains to losses over a specific time frame, typically 14 periods. This computation yields a value between 0 and 100, with readings above 70 often indicating overbought conditions, implying that the asset may have experienced excessive buying and could be due for a price correction. Conversely, readings below 30 signify potential oversold conditions, suggesting that selling pressure might have driven the asset's price too low and could lead to a rebound. Traders wield the RSI as a versatile tool to uncover potential trend reversals and assess the underlying strength of an asset. By identifying divergence between the RSI and price movements, traders can pinpoint situations where momentum might be shifting before it becomes evident through price action alone. Moreover, the RSI's ability to generate signals when crossing key thresholds adds an element of decisiveness to trading strategies, guiding traders on when to buy or sell based on the prevailing market sentiment. With its capacity to unveil underlying market dynamics, the RSI empowers traders with a deeper comprehension of asset behavior, enabling them to make more informed decisions and navigate market fluctuations with greater confidence. 7. Fibonacci retracement Fibonacci analysis, rooted in the pioneering work of Leonardo Fibonacci, has become an essential tool in technical analysis, guiding traders and analysts in deciphering potential price levels, retracements, and extensions within financial markets. The Fibonacci sequence, a mathematical progression where each number is the sum of the two preceding ones (1, 1, 2, 3, 5, 8, 13, and so on), forms the foundation of this technique. In trading, Fibonacci ratios such as 0.618 (Golden Ratio), 0.382, and 0.236 are applied to various price movements to identify significant levels of support and resistance. These ratios, when combined with key price points, create Fibonacci retracement and extension levels that aid in predicting potential price reactions and trend continuations. Traders utilize Fibonacci analysis to comprehend price patterns, predict reversals, and identify areas of interest for market entry or exit. The technique's widespread application spans across different timeframes and asset classes, making it a versatile tool for both short-term traders seeking precise entries and long-term investors analyzing broader trends. By integrating Fibonacci ratios with chart patterns, trendlines, and other technical indicators, traders can enhance their decision-making processes, improve risk management, and gain a deeper understanding of market psychology as reflected in price movements. 8. Ichimoku Cloud The Ichimoku Cloud, a distinctive and comprehensive technical indicator developed by Goichi Hosoda, stands as a multifaceted analytical tool that provides traders with a holistic view of an asset's price action and potential trend direction. Comprising five lines and a shaded area, the Ichimoku Cloud offers a layered perspective that transcends traditional technical analysis. At its core, the indicator features the Senkou Span A and Senkou Span B lines, which, when combined, form the cloud-like area on the chart. The cloud serves as a dynamic support and resistance zone, with its thickness reflecting market volatility and potential trend shifts. The Tenkan-sen and Kijun-sen lines, akin to fast- and slow-moving averages, contribute to the indicator's depth by indicating current momentum and trend direction. Finally, the Chikou Span, plotted backward, provides insights into the relationship between current and past prices. Traders and analysts employ the Ichimoku Cloud for its comprehensive insights into market conditions. The cloud's shifting nature offers early indications of potential trend changes, while crossovers between the Tenkan-sen and Kijun-sen lines provide buy or sell signals. Furthermore, the Ichimoku Cloud accommodates various timeframes, catering to both short-term and long-term trading strategies. Its intricate combination of lines and the cloud presents traders with a holistic picture of price dynamics, enhancing decision-making through a blend of trend analysis, momentum assessment, and support/resistance identification. 9. Standard deviation The Standard Deviation indicator, a fundamental component of technical analysis, offers traders a quantitative tool for assessing the volatility and dispersion of price data within a given trading period. By quantifying the degree of variability in prices around their average or mean, this indicator aids in comprehending market dynamics and potential price fluctuations. Computed by analyzing the differences between each data point and the mean, squaring these differences, averaging the squared values, and finally taking the square root of the result, the Standard Deviation indicator produces a numerical value that represents the degree of price dispersion. A higher value suggests greater market volatility and potential risk, while a lower value indicates more stable and predictable price movements. Traders harness the Standard Deviation indicator to achieve a variety of objectives. Firstly, it helps identify periods of heightened market volatility, guiding traders to exercise caution or implement risk management strategies during times of potential turbulence. Secondly, it contributes to the assessment of potential price targets and support/resistance levels. By recognizing how price data typically deviates from the mean, traders can anticipate potential price levels at which reversals or trend changes might occur. Furthermore, the Standard Deviation indicator can be employed in conjunction with other technical tools to fine-tune trading decisions and develop strategies that align with prevailing market conditions. Its quantitative approach to measuring volatility enhances traders' ability to make informed choices and navigate market uncertainty with a greater degree of confidence. 10. Average Directional Index (ADX) The Average Directional Index (ADX), a pivotal technical indicator, empowers traders with insights into the strength of a prevailing trend and the potential for trend reversals. Developed by J. Welles Wilder, the ADX operates in conjunction with two companion lines, the Positive Directional Index (+DI) and the Negative Directional Index (-DI). The +DI line gauges upward movement's strength, while the -DI line measures downward movement's strength. The ADX itself is a non-directional indicator, designed to quantify the intensity of the trend rather than its direction. The ADX is particularly valuable for traders seeking to gauge the robustness of trends and assess their suitability for trading strategies. When the ADX value is ascending, it suggests an intensifying trend, while a descending ADX indicates a weakening trend or a market in consolidation. A low ADX reading may signify a lack of trend, while a high ADX reading implies a strong, sustainable trend. Traders often use the ADX alongside other technical indicators, such as moving averages or trendlines, to validate the strength of a trend before executing trades. This versatile indicator plays a vital role in enhancing traders' ability to navigate markets by offering a quantifiable measure of trend strength and aiding in the identification of opportune entry and exit points.
Education
by SciLog