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VSA Rays: Mastering the Art of Predicting Future Price MovementsThe cryptocurrency PUFFER/USDT.P has captured our attention today as it flirts with a critical moment of decision. Currently trading at $0.5659, the price reflects a staggering 44% deviation below its all-time high of $1.0122, achieved just 50 days ago. Yet, it has also soared over 138% from its absolute low, a testament to its volatility and potential for rapid moves​. With a Relative Strength Index (RSI) hovering near a neutral 50, and buy volume patterns increasingly dominant over the past 24 hours, the market appears to be in a state of consolidation​​. The Moving Average 50 (MA50) at $0.5752 suggests minor overhead resistance, while psychological resistance levels are forming near $0.5961, possibly triggering the next rally​. Fundamentally, macroeconomic whispers of liquidity adjustments and renewed interest in altcoin markets are setting the stage for a bold shift. The big question remains: Is this your chance to ride the wave up, or will the bears claw back dominance at this critical threshold? For both traders and investors, the stakes couldn't be higher. The coming days will determine whether PUFFER/USDT.P’s momentum builds into a breakout or fades into retracement. Are you ready for the ride? The clock is ticking, and this could be your chance to capitalize on a decisive market move. Stay tuned for our detailed analysis on key levels and patterns shaping this opportunity. PUFFER/USDT.P Roadmap: Decoding the Patterns for Success Understanding the flow of market movements is crucial for both traders and investors. Here’s a detailed roadmap of the key patterns recently observed in PUFFER/USDT.P, using historical data to confirm their validity and align with anticipated price directions. January 25, 2025 – VSA Manipulation Buy Pattern 4th Direction: Buy Trigger Point: Low of the last 3 bars ($0.5514) Outcome: The market closed slightly higher at $0.5564, hinting at a bullish impulse. This aligns with the main direction, as the next pattern confirmed upward movement to a high of $0.5777. This is a textbook pattern execution, showing strong buyer momentum. January 26, 2025 – Increased Buy Volumes Direction: Buy Trigger Point: Open price ($0.5628) Outcome: This pattern delivered as expected, with a close above the open at $0.5768. The immediate next high of $0.5777 supports this buy direction, emphasizing consistent buyer dominance. January 25, 2025 – Increased Sell Volumes (Skipped) Direction: Sell Trigger Point: High of the last 3 bars ($0.6345) Outcome: Contrary to the sell direction, subsequent price action leaned bullish. This pattern did not trigger effectively, and its impact is minimal in the broader roadmap. January 24, 2025 – VSA Buy Pattern Extra 1st Direction: Buy Trigger Point: Not applicable Outcome: The market moved consistently higher, with the high extending to $0.6112 shortly after. This pattern highlighted the continuation of a buying trend, supported by increasing volume and a steady climb. January 22, 2025 – Sell Volumes Take Over (Skipped) Direction: Sell Trigger Point: Low of the last 3 bars ($0.5873) Outcome: While sell volumes showed a momentary dip to $0.5873, the market rebounded quickly, invalidating the sell direction and confirming a persistent bullish bias. January 23, 2025 – Buy Volumes Take Over Direction: Buy Trigger Point: Open price ($0.6024) Outcome: The price continued upward to $0.6094, marking this as a clean execution of a bullish pattern. Traders who spotted this transition capitalized on the trend. Key Takeaways from the Roadmap Bullish patterns like VSA Buy Pattern 4th and Buy Volumes Take Over consistently outperformed, confirming strong market optimism. Sell patterns were largely invalidated, indicating underlying buyer control over the asset during the observed period. Trigger points proved reliable markers for entry, with clear follow-through seen in consecutive highs. This roadmap demonstrates how understanding pattern execution and aligning with validated directions can significantly enhance trading success. Watch for future VSA Buy Patterns—they've consistently marked golden opportunities for upward momentum. Stay sharp, and ride the trend! Technical & Price Action Analysis: Key Levels to Watch When it comes to trading, knowing your levels is half the battle. Below are the critical support and resistance zones for PUFFER/USDT.P, straight from the charts. If these levels fail to hold, you can expect them to flip and act as resistance in the future. Mark these on your radar—miss them at your own risk! Support Levels 0.5201 – Your first line of defense; a break below could open the door to further downside. 0.2934 – A deeper support level that traders should keep an eye on if the price dives lower. Resistance Levels 0.5961 – The immediate overhead barrier. Bulls need to clear this for any meaningful push higher. 0.6934 – A higher resistance zone that could attract sell-side interest. 0.7277 – A strong ceiling to watch, marking the upper range of current price action. 0.8881 – A psychological level that’s likely to be a battleground for bulls and bears alike. Powerful Resistance Levels 1.0122 – The absolute high. Breaking and holding above this level would signal a major trend reversal. What Happens If These Levels Fail? If support levels crumble under selling pressure, they’ll likely become resistance as sellers defend their positions. The same goes for resistance—if bulls break through, it flips to support, creating a solid base for further upward momentum. Keep these levels in mind to navigate the chop and make informed decisions in this dynamic market. This is your roadmap to the action—stay sharp, and let the levels guide your trades! Trading Strategies Using Rays: From Concept to Actionable Scenarios The Rays from the Beginning of Movement concept provides a systematic approach to predicting price reactions based on Fibonacci-based geometrical rays. These rays, combined with dynamic factors like moving averages, offer traders a reliable method to identify high-probability trade setups. Below, we outline the framework and suggest two scenarios—optimistic and pessimistic—to align with potential market conditions. Concept of Rays in Action Fibonacci Rays and Their Purpose: Each ray defines key dynamic levels derived from the beginning of the price movement. They help map the probable path of the price and identify zones for potential reversals or continuations. Dynamic Factors: Moving averages (e.g., MA50, MA100, MA200) act as secondary confirmation tools. When price interacts with a ray and aligns with a moving average, the probability of a valid move increases. Actionable Levels: Traders focus on interactions between rays, moving averages, and VSA patterns on the chart. After a confirmed interaction, the price typically moves from one ray to the next, presenting opportunities for profitable trades. Optimistic Scenario: A Breakout with Momentum Initial Interaction Zone: $0.5752 (MA50) First Target: $0.5862 (MA100, next ray level) Second Target: $0.6272 (MA200, upper ray boundary) Third Target: $0.6468 (Extended ray, potential continuation) Commentary: In this scenario, the price demonstrates bullish momentum after interacting with the MA50 and first Fibonacci ray. Buyers take control, driving the price to subsequent ray levels. Pessimistic Scenario: A Controlled Decline Initial Interaction Zone: $0.5752 (MA50) First Target: $0.5201 (Key support level) Second Target: $0.2934 (Lower ray boundary) Third Target: $0.2375 (Absolute low) Commentary: Here, the price fails to sustain above the MA50, leading to a downward interaction with Fibonacci rays. Sellers dominate, targeting progressively lower levels. Potential Trade Setups Based on Ray Interactions Bullish Entry: After price confirms an upward bounce from $0.5752, enter long, aiming for $0.5862 (first target). Place a stop-loss below $0.5730 to manage risk. Bearish Entry: If the price rejects $0.5752, consider a short position targeting $0.5201 with a stop-loss above $0.5770. Breakout Trade: Watch for a breakout above $0.5862 with strong volume. Enter long with targets at $0.6272 and $0.6468. Range Trade: If the price oscillates between $0.5752 and $0.5862, use the range to buy near support and sell near resistance. Final Notes The combination of Fibonacci rays and moving averages creates a robust system for identifying dynamic trade zones. Remember, trades should only be entered after clear interaction and validation from the rays and dynamic factors. Whether the market trends bullish or bearish, these scenarios provide a clear framework for traders to follow and adapt as conditions unfold. Your Turn to Join the Conversation Hey traders and investors! Let’s make this space interactive. If you’ve got questions about the analysis, specific levels, or just want to dive deeper into the strategy—drop them right in the comments. I’ll be happy to answer and discuss with you. If you found this analysis helpful, don’t forget to hit Boost and save the idea to revisit later. Watching how price reacts to these levels is the best way to learn and grow as a trader. Remember, understanding entry and exit points is key to consistent success. For those interested, my proprietary indicator automatically maps out all the rays and levels you see here. It’s available privately, so if you’re curious about using it, feel free to send me a message directly. Have a specific asset in mind? I’m open to providing analysis! Some ideas I’ll post here for everyone to benefit from, and for others, we can discuss more personalized setups. Whether it’s public or private, we can figure out the best approach together. Lastly, don’t forget to follow me here on TradingView. This is where I post all my insights and updates, and I’d love to have you as part of my trading community. Let’s keep learning and growing together—one chart at a time. 🚀
Education
by brandlabelden
Market Sentiment and Trend Prediction System. Predictive Model. The codes listed below (free&easy;), detailed steps to follow for developing the event prediction system: 1. **Collecting Data**: we will need to gather data from various sources. We can use Python-based web scraping libraries like Beautiful Soup and Scrapy to extract data from news websites and social media platforms (scraping exports data from websites, it is safe and legal, but better contact website admins and ask for authorization) 2. **Cleaning and Preprocessing Data**: After collecting the data, we need to clean and preprocess it. We can use Python libraries like Pandas and NumPy to remove duplicates, missing values, and irrelevant information. 3. **Natural Language Processing**: Once the data is cleaned, we can use natural language processing (NLP) techniques to extract insights from the text data. For example, we can use the NLTK library to perform tokenization, stemming, and lemmatization on the text data. 4. **Model Building**: We can use machine learning algorithms like Random Forest, Gradient Boosted Trees, or Support Vector Machines (SVMs) to build predictive models. These models can help us predict the occurrence of an event or the sentiment associated with a specific topic. 5. **Dashboard and Visualization**: Finally, we can create an intuitive dashboard using tools like Tableau or Power BI to display the analyzed data in real-time. We can use interactive visualizations like bar graphs, pie charts, and heat maps to provide users with a clear understanding of the events and their impacts. 6. **Testing and Deployment**: Once the system is developed, we need to test it thoroughly to ensure that it is delivering the expected results. We can use various testing frameworks like pytest, unittest, or nosetests to automate the testing process. Once testing is completed, we can deploy the system to the production environment. 7. **Regular Maintenance and Updates**: We also need to ensure that the system is continuously monitored. The codes : Termux (the app is in playstore, github etc, to excute python files, or commands,for every step, some general commands and libraries that you might find useful: 1. Collecting Data: - To install Scrapy, run `pip install scrapy`. - To install Beautiful Soup, run `pip install beautifulsoup4`. - To scrape data from a webpage using Scrapy, run `scrapy crawl `. - To scrape data from a webpage using Beautiful Soup, use Python's built-in `urllib` or `requests` module to fetch the webpage's HTML. Then, use Beautiful Soup to parse the HTML and extract the relevant data. 2. Cleaning and Preprocessing Data: - To install Pandas, run `pip install pandas`. - To install NumPy, run `pip install numpy`. - To remove duplicates, use Pandas' `drop_duplicates()` function. - To remove missing values, use Pandas' `dropna()` function. - To filter out irrelevant data, use Pandas' indexing functions like `loc` and `iloc`. 3. Natural Language Processing: - To install NLTK, run `pip install nltk`. - To perform tokenization, run `nltk.tokenize.word_tokenize(text)`. - To perform stemming, run `nltk.stem.PorterStemmer().stem(word)`. - To perform lemmatization, run `nltk.stem.WordNetLemmatizer().lemmatize(word)`. 4. Model Building: - To install scikit-learn, run `pip install scikit-learn`. - To instantiate a Random Forest classifier, run `from sklearn.ensemble import RandomForestClassifier; clf = RandomForestClassifier()`. - To fit the model to the data, run `clf.fit(X_train, y_train)`, where `X_train` is the input data and `y_train` is the output labels. - To use the model to make predictions, run `clf.predict(X_test)`. 5. Dashboard and Visualization: - To install Tableau, follow the instructions on their website. - To install Power BI, follow the instructions on their website. - To create a bar graph in Python, use the `matplotlib` library: `import matplotlib.pyplot as plt; plt.bar(x, y); plt.show()`. - To create a pie chart in Python, use `plt.pie(values, labels=labels); plt.show()`. - To create a heat map in Python, use `sns.heatmap(data, cmap='coolwarm'); plt.show()` (assuming you have installed the Seaborn library). These are general commands and libraries that you can use as a starting point. If you need me to explain how to use termux, let me know.
Education
by Moroccolover
3
How to predict the market moves easily by Forecast indexHello traders! everyone wants to know where market will go at future, by Forecast index you can easily realize if the price can maintain its trend or not Forecast index consisted of trend momentum, trend volume and trend strength which identify future trend reverses Forecast index show you future trend revers by its direction before of every trend reverses , Forecast index change its direction faster than price.. which we call it miracle! its work properly on every chart and time-frame, it becomes a bless at long term trends... to purchase this indicator leave a comment below of this post... Thank you! 1-month= 99$ 3-months= 249$ lifetime access=440$ ***also you have 3-days free trail***
BINANCE:TRXUSD.PEducation
by Ghost3ader
The Crystal ball Strategy - How to Look into the future.There seems to be an endless amount of strategies out there, some promise fast returns while others promise consistency. Recently Ive started to gain some followers and have had some requests for strategies. Well today Im going to share one of my crackpot strategies I call "The Crystal Ball Strategy". This is not like most strategies that rely on indicators, in fact it uses no indicators at all. I don't often trade this one but every now and then I will use it to confirm a trade before placing an order. I stumbled upon to this while I living in the 1 second charts trying to script the perfect entry bot. I started to notice the loops would start on the 1 second chart then make there way to the 30 second, then the 1 min. The next day I would see the pattern on the 1 hour chart. Its like looking into a crystal ball and seeing the future. How it works. Its as simple as opening a split screen with a 1 min char and a 60 min chart. On the 1 min chart find the beginning of the current trend that you are looking at on the 1 hour chart. For the example I am using Bitcoin. Now its just a matter of comparing the two charts. If they are the same (which they normally are) you can setup your trade knowing if it is going to be a long or short and even how good it will be and where to exit. All the data for the 1 hour trend is stored in the first wave. Just a word of warning that things happen along the way like dumps that will change the future but if things coast along fine the 1 hour chart will usually match up with what you saw on the 1 min chart yesterday. Here you can see the 2 charts lined up. The 1 min chart is marked in a yellow box on the 1 hour chart. I have broken up the different parts for comparison. In this example the charts suggest to place a short. This is scrolled back left, you can see the 2 charts match characteristics. Im sharing this for educational purposes only and have not backtested it enough. I just figure some people may be interested and strongly urge you to not run out and put on a "YOLO".
BYBIT:BTCUSD.PEducation
by veryfid
33
MaMA : Momentum adjusted Moving AverageA brand new Moving Average , calculated using Momentum, Acceleration and Probability (Psychological Effect). Momentum adjusted Moving Average( MaMA ) is an indicator that measures Price Action by taking into consideration not only Price movements but also its Momentum, Acceleration and Probability. MaMA , provides faster responses comparing to the regular Moving Average Here is the math of the MaMA idea Momentum measures change in price over a specified time period momentum = source – source(length) where, source, indicates current bar’s price value source(length), indicates historical price value of length bars earlier Lets play with this formula and rewrite it by moving source(length) to other side of the equation source = source(length) + momentum to avoid confusion let’s call the source that we aim to predict as adjustedSource adjustedSource = source(length) + momentum looks nice the next value of source simply can be calculated by summing of historical value of the source value and value of the momentum. I wish it was so easy, the formula holds true only when the momentum is conserved/constant/steady but momentum move up or down with the price fluctuations (accelerating or decelerating) Let’s add acceleration effects on our formula, where acceleration is change in momentum for a given length. Then the formula will become as (skipped proof part of acceleration effects, you may google for further details) adjustedSource = source(length) + momentum + 1/2 * acceleration here again the formula holds true when the acceleration is constant and once again it is not the case for trading, acceleration also changes with the price fluctuations Then, how we can benefit from all of this, it has value yet requires additional approaches for better outcome Let’s simulate behaviour with some predictive approach such as using probability (also known as psychological effect), where probability is a measure for calculating the chances or the possibilities of the occurrence of a random event. As stated earlier above momentum and acceleration are changing with the price fluctuations, by using the probability approach we can add a predictive skill to determine the likelihood of momentum and acceleration changes (remember it is a predictive approach). With this approach, our equations can be expresses as follows adjustedSource = source(length) + momentum * probability adjustedSource = source(length) + ( momentum + 1/2 * acceleration ) * probability , with acceleration effect Finally, we plot MaMA with the new predicted source adjustedSource, applying acceleration effect is made settable by the used from the dialog box, default value is true. What to look for: • Trend Identification • Support and Resistance • Price Crossovers Recommended settings are applied as default settings, if you wish to change the length of the MaMA then you should also adjust length of Momentum (and/or Probability). For example for faster moving average such as 21 period it would be suggested to set momentum length to 13 Alternative usage, set moving average length to 1 and keep rest lengths with default values, it will produce a predictive price line based on momentum and probability. Experience acceleration factor by enabling and disabling it Conclusion MaMA provide an added level of confidence to a trading strategy and yet it is important to always be aware that it implements a predictive approach in a chaotic market use with caution just like with any indicator Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
FX_IDC:XAUUSDEducation
by dgtrd
14
7 Steps to Drawing Professional Trendlines+ Predicting DirectionHow To Correctly Draw Trend-Lines To Assess Breakouts Trend-lines are the most fundamental skills of anyone performing the technical analysis of charts. As a certified market analyst, you are taught how to draw trendlines properly, this is the quick guide to doing it right. There are 3 time-frames for trends according to Charles Dow the father of technical analysis and the Dow Jones Industrial average. 3 Trend Timeframes • Short-term: Days to Weeks • Medium-term: Weeks to Months • Long-term: Months to Years 3 Types of Trend • Uptrend • Down Trend • Sideways Consolidation The secret of trend-lines is combining these 6 factors to assess market direction. Looking at the NVIDIA chart I have plotted key trendlines and the expected direction once price breaks through or bounces off a trendline. 4 Trends on the NVIDIA Chart 1. The long-term trend – Uptrend By connecting the lowest lows (closing price) on a price chart we can easily see that NVIDIA is in a long-term uptrend. As this trend spans from 2016 through 2020 (months to years) it is a long-term trend. 2. The medium-term trend – Sideways Connecting the highest highs for NVIDIA from 2019 to 2020 (weeks to months) we can see that NVIDIA is in a sideways consolidation pattern. Here you can see that trend-line (2.) is also called the resistance line. The price bounced twice off the resistance line but did not break through, meaning resistance. Also, in terms of the chart pattern, it is a “double top”. 3. The Short-term Trend – Downtrend Looking at the days to weeks timeframe and connecting the highest highs of the closing prices we can clearly see that NVIDIA is in a downtrend. 4. Long-term lateral support line Here we can draw a horizontal line connecting previous highs and lows to see there a possible future target price may be. Using Trend-lines to Establish Possible Price Direction Now that we have drawn the trend-lines we can see that if price breaks through or bounces off a trendline what the next market move will be. Predictions are colored in Red. 5. Price Breaks Through Long-term Trend Line If the stock price breaks down through the long-term price trend (1.) then we expect it to move down to trend-line (4.) at $120 6. Price Breaks Up through Short-term Down Trend If price breaks up through trend line (3.) Then we expect resistance at the Medium-term trend line (2.) At this point, it will either move back down to continue up. 7. Price Breaks through Medium-term Trend 2. Finally, if the price moves up through medium trend (2.), this is a new all-time high and a bull run. Summary I hope this guide shows you how to draw trend lines properly to give professional reliable results and market entry timings. Thanks Barry – LiberatedStockTrader.com
NASDAQ:NVDAEducation
by liberatedstocktrader
8
ETHUSD : 2 PATHS FOR 1 FUTUREIs the future of ETHUSD and other cryptocurrencies is bright or not? I decided to make that chart analysis to clarify the situation and draw an approximation of the different paths we would follow for the end of May and during June. In that chart you could find all resistances, support and pivot zone that I calculated according to two assumptions: 1) We follow the green path in which we are now, forming a cup&handle. Higher point May = 835 Close point May = 800 Lower point May = 627 2) We follow the red path that brings the market to retest the pivot of 2018. Higher point May = 835 Close point May = 580 Lower point May = 627 Calculation formulas: Pivot = (H + B + C) / 3 S1 = (2 x Pivot) - H S2 = Pivot - (H - B) R1 = (2 x Pivot) - B R2 = Pivot + (H - B) We still are in a bullish market as we can see on the RSI. If we break the 40, we would enter in a bear market and follow the red path to retest our annual pivot at $536. That solution is possible as we have a great bearish divergence. However, all cases are possible, we could see a new rally from our $657 support 1 of this week. The weekly pivot around $700 could be retested soon. On the other chart analysis that I've done, we can see that we have a symmetrical triangle with an ABCDE correction that followed the previous impulse wave. At that time, we didn't really break the triangle, we should wait the end of the day ! I wanted to make that educational chart to practise some tools and share with you my point of view about the future of the market. If you don't use Pivot Standard Points tool, you should do because it's one of the mostly used tool by traders. And that could change your Moon or hell mindset in a more analytic one. Thanks for reading, if you think it's an interesting analysis, push the agree button! Comment whatever you want to share something about that topic and follow me if you want to see more about my analyses. Have a nice week!
BITFINEX:ETHUSDEducation
by HatrekoS