TradingView Ideas

Alphabet Linear Ladder (Fri, 10 May 2024)
Simple project with potential support and resistance levels projected in time, with the main scenario considering the destination of the blue rectangle in case of some good earnings report after a bearish correction, while the second scenario being about a slow linear climb on the gray ladder levels even before earnings. The trading idea is only meant to be considered if relevant events and price action (like candlestick patterns or signals) occur coincidently at the marked levels or shapes. Also in case of a sudden shift in sentiment, the reverse can be regarded as a valid scenario, meaning a bearish mood for the stock, if a retest happens at any of the elements in the project.
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Discovering profitable stocks for intraday trading (Sat, 04 May 2024)
█ Discovering profitable stocks for intraday trading: Simplifying the BeSt System Intraday trading style capitalizes on the market's daily fluctuations to generate profits, appealing to traders seeking quick returns. However, the rapid pace and high associated volatility require precise decision-making and a deep understanding of market dynamics. For intraday traders, the key to success lies in predicting market movements and identifying stocks that offer the best potential for profit within a limited timeframe. The BeSt system , short for Best Stock Finder, is a pioneering approach that uses data analysis to pinpoint promising stocks for daily trades. This article explores how this system works and what it means for the everyday trader. https://www.tradingview.com/x/2SsVnJVh/ The primary goal of this research is to unearth effective strategies for selecting stocks that are most likely profitable for intraday trading. The relevance of this study is particularly pronounced in the current market environment, characterized by heightened volatility and increased trading volumes. These conditions heighten the risks associated with intraday trading and open up new opportunities for savvy traders. https://www.tradingview.com/x/7jvI4AG8/ █  Understanding the BeSt System At its core, the best system employs a sophisticated blend of regression and sequence mining techniques to analyze historical stock data. By examining patterns in stock price movements and predicting future trends, the system identifies stocks most likely to experience significant price changes within the same trading day. ⚪ How Does the BeSt System Work? Regression Techniques: These algorithms predict future price variations by analyzing historical price data. The stocks showing the highest potential for price fluctuations are highlighted as prime candidates for trading. https://www.tradingview.com/x/rTZjmFkB/ Sequence Mining: This method goes beyond simple price predictions by looking for recurring sequences in stock performance. It identifies patterns indicating which stocks are likely to perform well, based on their historical sequence of returns. https://www.tradingview.com/x/GkdDYOPu/ Weighted Sequences: By assigning different weights to stock occurrences based on their profitability, the system prioritizes stocks that have consistently shown higher returns following specific patterns. ⚪ Simplifying How the BeSt System Works Predicting Price Changes: At its heart, the system uses past stock price movements to forecast future activity. Imagine being able to predict a stock’s price rise before it happens—that’s what this system aims to do. Finding Patterns: Beyond predictions, the BeSt system looks for patterns in how stocks have performed over time, identifying which stocks are likely to do well together or in sequence. This helps in anticipating market movements. Prioritizing Profitable Stocks: Not all stocks are treated equally; the system prioritizes those that have historically provided better returns following certain patterns. █  Conclusion: For intraday traders, the BeSt system offers a promising tool that enhances profitability and provides a deeper understanding of market dynamics. Turning complex data into actionable trading insights represents a significant step forward in the quest for optimal trading strategies. As technology and data science continue to advance, the BeSt system is well-positioned to become an indispensable part of every trader's toolkit. █   Methodology ⚪ Regression Techniques These algorithms predict the value of continuous variables based on the analysis of historical data.The goal is to predict the daily percentage variation in the price of a stock on the next trading day by analyzing the historical prices of market stocks on the preceding days. Stocks with the maximal predicted variation are recommended as the most tradeable on the subsequent trading day. Data Preparation: The historical price data of various stocks are collected, focusing primarily on daily percentage variations in stock prices. Model Training: Regression algorithms are used to create predictive models. These models analyze the historical prices and try to forecast the price movements of the stocks for the next trading day. Stock Selection: Stocks predicted to have the highest percentage variation in their prices the next day are flagged as potential candidates for trading. This prediction is based on the regression model’s output, which calculates the expected price change from one day to the next. ⚪ Sequence Mining This involves the use of unsupervised data mining techniques to discover recurrent sequences of items in large datasets. In this context, items are stocks, and the time stamps correspond to the closures of consecutive trading days. A sequence is an ordered list of itemsets, where an itemset is a set of items occurring at a given time stamp. Given the best-performing stocks on past and current trading days, a sequence indicates that if an arbitrary set of stocks is in the top list on preceding days, a given stock is likely to occur in the top list on the next day. Weighted sequences, rather than traditional ones, are used to weigh differently the occurrences of different stocks on the same trading day according to their daily profits. Data Handling: The process starts with collecting historical stock data, particularly focusing on the closing prices across consecutive trading days. This data is then prepared into a sequence format where each sequence represents the ordered list of stock performances over multiple days. Mining Process: Using sequence mining algorithms, the system searches for common patterns or sequences in the stock data. These patterns reveal which stocks frequently perform well in sequence—meaning if certain stocks are performing well today, which stocks are likely to perform well tomorrow based on historical patterns. Weighted Sequences: To refine the selection, the concept of weighted sequences is applied. This approach gives different weights to the occurrences of stocks based on their profit performances on particular days. For example, if a stock consistently shows higher gains than others on specific days following certain trends, it will be weighted more heavily in the predictive model. Stock Recommendations: The system identifies sequences with the highest recurrence and profitability. Stocks appearing in these sequences are recommended for trading. These stocks are expected to perform well in the short term, aligning with intraday trading goals. █   Data Set Used The data set used for this study consisted of a broad range of stocks across various sectors, including technology, finance, and consumer goods. To ensure the reliability of the data, the study focused on stocks listed on major exchanges like the NYSE and NASDAQ. █   Key Findings High Profitability: The BeSt system outperforms traditional stock selection methods like Support Vector Machines, Linear Regression, and random selection strategies. The sequence-based strategies used by BeSt, in particular, have proven to yield higher profits, demonstrating the system's ability to effectively identify the most promising stocks for intraday trading. Effective Trend Capture: The system is highly adept at identifying underlying trends in stock price movements. This capability allows traders to make informed decisions based on a solid analysis of historical data, ensuring that trades align with the most likely future movements of the market. [* ]Scalability: The BeSt system can handle large datasets efficiently, making it suitable for analyzing the numerous stocks listed on major stock exchanges. This scalability is crucial for intraday traders who need to quickly sift through vast amounts of data to identify trading opportunities. Interpretability of Results: Unlike many other data-driven trading systems, the BeSt system provides interpretable results. This feature is particularly beneficial for traders who prefer to understand the logic behind the recommended trades. The system's transparency helps build trust and allows users to learn from the system's insights. █   Practical Applications Even if you don’t have access to the BeSt system itself, understanding its principles can improve how you approach trading: ⚪ Look for Patterns: Start tracking how certain stocks perform in relation to each other and over various days. You might begin to notice patterns that can guide your trading decisions. ⚪ Use Available Tools: Many trading platforms offer basic tools for analyzing stock trends and predicting movements. Use these to start making more informed decisions. https://www.tradingview.com/x/4bIdHxWv/ █   Limitations While the findings of this study are valuable, they come with limitations that traders should consider. The study focused on large-cap stocks listed on major exchanges, which may not apply to smaller-cap stocks or those on less liquid markets. Additionally, the historical data may not fully account for the market's future conditions as market dynamics continually evolve. █  Reference Baralis, E., Cagliero, L., Cerquitelli, T., Garza, P., & Pulvirenti, F. (2017). Discovering profitable stocks for intraday trading. Information Sciences, 405, 91-106. ----------------- Disclaimer This is an educational study for entertainment purposes only. The information in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell securities. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on evaluating their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
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Secrets of success on the American stock market (Thu, 02 May 2024)
Snapchat ( #Snapchat ) shares surged by 27% to $14.5 per share, following the post-market trading on the New York Stock Exchange on Friday, April 26. And they continue to climb this week: Several factors contributed to this rapid growth: Demand for Snap shares increased after the release of financial results. Snap noted that its business is growing faster than expected, thanks to the update of its advertising system and higher demand for features that help brands increase sales or clicks on websites. In the first quarter, the number of daily active users (DAUs) grew by 10% to 422 million. According to StreetAccount, analysts expected 420 million users. Snap also expects to generate revenue of $1.23 billion in the second quarter, higher than analysts' expectations ($1.22 billion). The company's revenue per user increased on a yearly basis for the first time since the beginning of 2022, reflecting the recovery of the advertising market and Snap's efforts to revive growth, said Morningstar analyst Michael Hodel. Simultaneously with Snapchat's success, Tesla (#Tesla) shares began to soar sharply on news that Elon Musk, during his visit to China, reached an agreement with the Chinese technology giant Baidu (#Baidu). The companies will collaborate in the field of mapping and navigation, allowing Tesla to use its Full-Self Driving (FSD) software in China for fully autonomous driving. As a result, the electric car manufacturer's shares rose by 7.98% to $181.72 in pre-market trading on April 29. Google (#Google) also made headlines by announcing its market capitalization. The market cap of Alphabet, Google's parent company, exceeded $2 trillion for the first time, reaching $2.15 trillion. According to TradingView, Alphabet now ranks fourth in the world by market capitalization. It is surpassed only by Microsoft ( #Microsoft ) with a market cap of $3.02 trillion, Apple ( #Apple ) with a market value of $2.61 trillion, and NVIDIA ( #NVIDIA ), whose market capitalization is $2.19 trillion. And we remind you that the shares of these companies and many others are available for trading in our trading terminal. Still hesitating where to invest? FreshForex analysts have repeatedly pointed out the prospects for gold and bitcoin, and the forecasts have come true. And now is the time to invest in the fund. Earn with us!
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Alphabet (Google) - 330% Rally ahead! (Wed, 01 May 2024)
Hello Traders and Investors, today I will take a look at Alphabet. -------- Explanation of my video analysis: About 8 years ago Alphabet stock created the first retest and rejection of the long term ascending bullish trendline. Then we had a lot of retests of this trendline, the last one being in the beginning of 2023 and this retest was followed by another decent bullish rejection. Last month Alphabet stock broke out of an ascending triangle formation and is now just very very bullish. -------- Keep your long term vision, Philip (BasicTrading)
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Technical Analysis Report: Alphabet Inc. (Wed, 01 May 2024)
Alphabet Inc. (Class C) shares have displayed a notable trend and volatility that provide a rich ground for technical analysis. Based on a detailed examination of various technical indicators, candlestick patterns, and moving averages, this report aims to provide potential trading insights and speculative price targets for both short-term and long-term investors. Current Price Action and Key Observations Recent Movement: The stock has shown a bearish trend in the latest trading sessions with noticeable red candles on the daily chart, indicating selling pressure. Candlestick Analysis: The appearance of multiple bearish candles suggests a potential continuation of the downward trend, especially after a rejection from the high of approximately $175. Volume: Trading volume has been relatively stable, with recent days showing a mix of above-average selling, hinting at increased bearish sentiment. Moving Averages and Trend Indicators Simple Moving Averages (SMAs) and Exponential Moving Averages (EMAs): Short-term SMAs (5-day and 10-day): Currently positioned above the latest price, indicating a potential resistance zone around $166 - $168. Long-term EMAs (50-day and 200-day): The price is above these averages, suggesting an underlying bullish trend over the longer term, with critical support levels at approximately $160 and $146, respectively. Technical Indicators and Oscillators MACD: The Moving Average Convergence Divergence (MACD) indicates a buy, suggesting potential upward momentum if the market sentiment shifts. RSI: The Relative Strength Index (RSI) is near neutral at 55.7, indicating neither overbought nor oversold conditions, providing room for both upward and downward movements. Stochastics: Both Stochastic RSI and regular Stochastic indicators are neutral, signaling uncertainty in price direction in the immediate term. CCI: The Commodity Channel Index (CCI) hovers around the zero line, further confirming the ongoing indecision in the market. Price Prediction and Trading Strategy Short-term Strategy (1-2 Weeks): Buy Trigger: Should the price rebound and hold above the EMA 20-day ($162.71), accompanied by a positive turn in MACD and a break above a Stochastic value of 60, consider a buying position with a target of $170. Sell/Short Trigger: If the price fails to hold the EMA 20-day support and drops below $160, consider a short position with a target of $155, closely watching the $158.77 pivot (S1) for potential bounce-back. Long-term Strategy (3-6 Months): Buy Trigger: A sustained hold or bounce from the 200-day EMA ($146.38) would be a strong buy signal, targeting a long-term return to highs around $175 - $180. Sell Trigger: A breach below the 200-day EMA should be viewed cautiously, potentially signaling a deeper correction with a target around $140, marked by historical support levels. Conclusion Alphabet Inc. currently stands at a critical juncture where short-term bearish pressures are wrestling with a long-term bullish undercurrent. Traders should employ a vigilant approach, ready to adapt to the quick shifts in market sentiment that are characteristic of tech stocks. The recommended price targets and triggers are speculative and should be used as guidelines alongside comprehensive risk management strategies to protect against unexpected market movements.
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GOOG :SUMPERMILLENNUM (Wed, 01 May 2024)
Nice to meet you. SEOVERIGN - This is SeoVerign. Google has recently flown into AI-related issues. I've already had a bearish view before I hit the $155 high The recent gains have made the bearish view even stronger. The rise seems to have been driven more by basic factors than technical factors. So this rise appears to be a bubble and is considered to start falling soon. Google and U.S. tech shareholders seem to be on high alert. I hope you have a good health.
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what would topping out look like (Tue, 30 Apr 2024)
this steady slide from the new high has signaled clear signs of daily consolidation for large tech stocks like google. if this wyckoff distribution completes we will end up in a trend not unlike what ive outlined. the volume weight average signals have trended lower all week so far. i would imagine this continues, with some regressive upward bear contractions approaching upper channel. the regressive mean is a slide from the new high to our current average. this 4hr trend is compatible with history, and the new volume weighted average data according to the algo.
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