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HOW-TO use Bitcoin 5A Strategy@LilibtcIn our long-term strategy, we have deeply explored the key factors influencing the price of Bitcoin. By precisely calculating the correlation between these factors and the price of Bitcoin, we found that they are closely linked to the value of Bitcoin. To more effectively predict the fair price of Bitcoin, we have built a predictive model and adjusted our investment strategy accordingly based on this model. In practice, the prediction results of this model correspond quite high with actual values, fully demonstrating its reliability in predicting price fluctuations. When the future is uncertain and the outlook is unclear, people often choose to hold back and avoid risks, or even abandon their original plans. However, the prediction of Bitcoin is full of challenges, but we have taken the first step in exploring. Table of contents: Guide Step 1: Identify the factors that have the greatest impact on Bitcoin price Step 2: Build a Bitcoin price prediction model Step 3: Find indicators for warning of bear market bottoms and bull market tops Step 4: Develop a Bitcoin 5A strategy Step 5: Verify the performance of the Bitcoin 5A strategy Opportunities Usage Restrictions Guide: 1. On the main interface, modify the code, find the BTCUSD trading pair, and select the BITSTAMP exchange for trading. 2. Set the time period to the daily chart. 3. Select a logarithmic chart in the chart type to better identify price trends. 4. In the strategy settings, adjust the options according to personal needs, including language, display indicators, display strategies, display performance, display optimizations, sell alerts, buy prompts, opening days, backtesting start year, backtesting start month, and backtesting start date. Step 1: Identify the factors that have the greatest impact on Bitcoin price Correlation Coefficient: A mathematical concept for measuring influence In order to predict the price trend of Bitcoin, we need to delve into the factors that have the greatest impact on its price. These factors or variables can be expressed in mathematical or statistical correlation coefficients. The correlation coefficient is an indicator of the degree of association between two variables, ranging from -1 to 1. A value of 1 indicates a perfect positive correlation, while a value of -1 indicates a perfect negative correlation. For example, if the price of corn rises, the price of live pigs usually rises accordingly, because corn is the main feed source for pig breeding. In this case, the correlation coefficient between corn and live pig prices is approximately 0.3. This means that corn is a factor affecting the price of live pigs. On the other hand, if a shooter's performance improves while another shooter's performance deteriorates due to increased psychological pressure, we can say that the former is a factor affecting the latter's performance. Therefore, in order to identify the factors that have the greatest impact on the price of Bitcoin, we need to find the factors with the highest correlation coefficients with the price of Bitcoin. If, through the analysis of the correlation between the price of Bitcoin and the data on the chain, we find that a certain data factor on the chain has the highest correlation coefficient with the price of Bitcoin, then this data factor on the chain can be identified as the factor that has the greatest impact on the price of Bitcoin. Through calculation, we found that the 🔵number of Bitcoin blocks is one of the factors that has the greatest impact on the price of Bitcoin. From historical data, it can be clearly seen that the growth rate of the 🔵number of Bitcoin blocks is basically consistent with the movement direction of the price of Bitcoin. By analyzing the past ten years of data, we obtained a daily correlation coefficient of 0.93 between the number of Bitcoin blocks and the price of Bitcoin. Step 2: Build a Bitcoin price prediction model Predictive Model: What formula is used to predict the price of Bitcoin? Among various prediction models, the linear function is the preferred model due to its high accuracy. Take the standard weight as an example, its linear function graph is a straight line, which is why we choose the linear function model. However, the growth rate of the price of Bitcoin and the number of blocks is extremely fast, which does not conform to the characteristics of the linear function. Therefore, in order to make them more in line with the characteristics of the linear function, we first take the logarithm of both. By observing the logarithmic graph of the price of Bitcoin and the number of blocks, we can find that after the logarithm transformation, the two are more in line with the characteristics of the linear function. Based on this feature, we choose the linear regression model to establish the prediction model. From the graph below, we can see that the actual red and green K-line fluctuates around the predicted blue and 🟢green line. These predicted values are based on fundamental factors of Bitcoin, which support its value and reflect its reasonable value. This picture is consistent with the theory proposed by Marx in "Das Kapital" that "prices fluctuate around values." The predicted logarithm of the market cap of Bitcoin is calculated through the model. The specific calculation formula of the Bitcoin price prediction value is as follows: btc_predicted_marketcap = math.exp(btc_predicted_marketcap_log) btc_predicted_price = btc_predicted_marketcap / btc_supply Step 3: Find indicators for early warning of bear market bottoms and bull market tops Warning Indicator: How to Determine Whether the Bitcoin Price has Reached the Bear Market Bottom or the Bull Market Top? By observing the Bitcoin price logarithmic prediction chart mentioned above, we notice that the actual price often falls below the predicted value at the bottom of a bear market; during the peak of a bull market, the actual price exceeds the predicted price. This pattern indicates that the deviation between the actual price and the predicted price can serve as an early warning signal. When the 🟠Bitcoin price deviation is very low, as shown by the chart with 🟩green background, it usually means that we are at the bottom of the bear market; Conversely, when the 🟠Bitcoin price deviation is very high, the chart with a 🟥red background indicates that we are at the peak of the bull market. This pattern has been validated through six bull and bear markets, and the deviation value indeed serves as an early warning signal, which can be used as an important reference for us to judge market trends. Step 4: Bitcoin 5A Strategy Formulation Strategy: When to buy or sell, and how many to choose? We introduce the Bitcoin 5A strategy. This strategy requires us to generate trading signals based on the critical values of the warning indicators, simulate the trades, and collect performance data for evaluation. In the Bitcoin 5A strategy, there are three key parameters: buying warning indicator, batch trading days, and selling warning indicator. Batch trading days are set to ensure that we can make purchases in batches after the trading signal is sent, thus buying at a lower price, selling at a higher price, and reducing the trading impact cost. In order to find the optimal warning indicator critical value and batch trading days, we need to adjust these parameters repeatedly and perform backtesting. Backtesting is a method established by observing historical data, which can help us better understand market trends and trading opportunities. Specifically, we can find the key trading points by watching the Bitcoin price log and the Bitcoin price deviation chart. For example, on August 25, 2015, the 🟠Bitcoin price deviation was at its lowest value of -1.11; on December 17, 2017, the 🟠Bitcoin price deviation was at its highest value at the time, 1.69; on March 16, 2020, the 🟠Bitcoin price deviation was at its lowest value at the time, -0.91; on March 13, 2021, the 🟠Bitcoin price deviation was at its highest value at the time, 1.1; on December 31, 2022, the 🟠Bitcoin price deviation was at its lowest value at the time, -1. To ensure that all five key trading points generate trading signals, we set the warning indicator Bitcoin price deviation to the larger of the three lowest values, -0.9, and the smallest of the two highest values, 1. Then, we buy when the warning indicator Bitcoin price deviation is below -0.9, and sell when it is above 1. In addition, we set the batch trading days as 25 days to implement a strategy that averages purchases and sales. Within these 25 days, we will invest all funds into the market evenly, buying once a day. At the same time, we also sell positions at the same pace, selling once a day. Adjusting the threshold: a key step to optimizing trading strategy Adjusting the threshold is an indispensable step for better performance. Here are some suggestions for adjusting the batch trading days and critical values of warning indicators: • Batch trading days: Try different days like 25 to see how it affects overall performance. • Buy and sell critical values for warning indicators: iteratively fine-tune the buy threshold value of -0.9 and the sell threshold value of 1 exhaustively to find the best combination of threshold values. Through such careful adjustments, we may find an optimized approach with a lower maximum drawdown rate (e.g., 11%) and a higher cumulative return rate for closed trades (e.g., 474 times). The chart below is a backtest optimization chart for the Bitcoin 5A strategy, providing an intuitive display of strategy adjustments and optimizations. In this way, we can better grasp market trends and trading opportunities, thereby achieving a more robust and efficient trading strategy. Step 5: Validating the performance of the Bitcoin 5A Strategy Model accuracy validation: How to judge the accuracy of the Bitcoin price model? The accuracy of the model is represented by the coefficient of determination R square, which reflects the degree of match between the predicted value and the actual value. I divided all the historical data from August 18, 2015 into two groups, and used the data from August 18, 2011 to August 18, 2015 as training data to generate the model. The calculation result shows that the coefficient of determination R squared during the 2011-2015 training period is as high as 0.81, which shows that the accuracy of this model is quite high. From the Bitcoin price logarithmic prediction chart in the figure below, we can see that the deviation between the predicted value and the actual value is not far, which means that most of the predicted values can explain the actual value well. The calculation formula for the coefficient of determination R square is as follows: residual = btc_close_log - btc_predicted_price_log residual_square = residual * residual train_residual_square_sum = math.sum(residual_square, train_days) train_mse = train_residual_square_sum / train_days train_r2 = 1 - train_mse / ta.variance(btc_close_log, train_days) Model reliability verification: How to affirm the reliability of the Bitcoin price model when new data is available? Model reliability is achieved through model verification. I set the last day of the training period to February 2, 2024 as the "verification group" and used it as verification data to verify the reliability of the model. This means that after generating the model if there is new data, I will use these new data together with the model for prediction, and then evaluate the accuracy of the model. If the coefficient of determination when using verification data is close to the previous training one and both remain at a high level, then we can consider this model as reliable. The coefficient of determination calculated from the validation period data and model prediction results is as high as 0.83, which is close to the previous 0.81, further proving the reliability of this model. Performance evaluation: How to accurately evaluate historical backtesting results? After detailed strategy testing, to ensure the accuracy and reliability of the results, we need to carry out a detailed performance evaluation on the backtest results. The key evaluation indices include: • Net value curve: As shown in the rose line, it intuitively reflects the growth of the account net value. By observing the net value curve, we can understand the overall performance and profitability of the strategy. The basic attributes of this strategy are as follows: Trading range: 2015-8-19—2024-2-18, backtest range: 2011-8-18—2024-2-18 Initial capital: 1000USD, order size: 1 contract, pyramid: 50 orders, commission rate: 0.2%, slippage: 20 markers. In the strategy tester overview chart, we also obtained the following key data: • Net profit rate of closed trades: as high as 474 times, far exceeding the benchmark, as shown in the strategy tester performance summary chart, Bitcoin buys and holds 210 times. • Number of closed trades and winning percentage: 100 trades were all profitable, showing the stability and reliability of the strategy. • Drawdown rate & win-loose ratio: The maximum drawdown rate is only 11%, far lower than Bitcoin's 78%. Profit factor, or win-loose ratio, reached 500, further proving the advantage of the strategy. Through these detailed evaluations, we can see clearly the excellent balance between risk and return of the Bitcoin 5A strategy. Opportunity: Capturing factor changes Changes in factors provide us with valuable trading opportunities. The 🟠orange line in the chart below represents the factor indicator when its value on February 20, 2024 is -0.32, which is greater than the threshold of -0.9. This could be a signal worth paying attention to. Opportunities like this do not come up often, so we need to stay alert and act fast. Usage Restrictions: Strategy Application in Specific Situations Please note that this strategy is designed specifically for Bitcoin and should not be applied to other assets or markets without authorization. In actual operations, we should make careful decisions according to our risk tolerance and investment goals.
BITSTAMP:BTCUSDEducation
by lilibtc
3
XRP: Chris Larsen Wallet Hack... or STAGED Dump?📉Hi Traders, Investors and Speculators of Charts📈 Yesterday, news came out that a huge XRP wallet has been hacked, stealing $112 million worth of XRP. According to information currently available, the hack was as a result of compromised security keys. It turned out to be the wallet of none other than tech-giant Chris Larsen, Ripple Co-founder. (suspicious already?🤔 let's dive in...) One of many strange incidents surrounding this hack is that it was discovered by a Twitter user and popular blockchain security expert ZachXBT. I imagined that one would notice if your personal accounting holding 9 digits of XRP worth $112 million got hacked, but apparently not. It took ZachXBT a public Twitter post to make the apparently unaware team at Ripple take action. This makes you wonder, if ZachXBT didn't pick it up... would this have gone unnoticed and been swept under the rug, or would Chris Larsen have come out and admitted it? I guess we'll never know. But with Ripple's dodgy actions in the past (ultimately leading to the SEC case), one can only guess. Not too long ago, Jed McCaleb finally sold off the last of his enormous amount of XRP which he had been dumping monthly for years. One Twitter user voiced a very valid concern; "are all Ripple execs holding 9 digits of xrp, is there something in place to prevent them from dumping all at once on the market?" It just seems like despite the markets best bullish trends, the constant overwhelming selling pressure is just too high for XRP to reach new highs. It's sad to see such a industry leader and once-promising project fall to new lows. _______________________ 📢Follow us here on TradingView for daily updates📢 👍Hit like & Follow 👍 CryptoCheck CRYPTOCAP:XRP BINANCE:XRPUSDT BITSTAMP:XRPUSD BINANCE:XRPUSDT.P
Short
by CryptoCheck-
7
Is ZM Finally Buyable?ZM longs have been absolutely eviscerated since 2020. One of the quintessential names of the 2020 exuberance, it has since seen a 90% drawdown from the 2020 high to the 2023 low late last year. However, ZM has seen a trading range between 60 and 75 for almost a year now. This basing has clear analogs to Wyckoff accumulation, and the failed breakdown in October with low volume and no follow through could have finally put in a durable bottom. The 50SMA crossed above the 200SMA in January, providing a clue about the possibility for a shift in trend on this beaten down name. If ZM sees markup and can break out of this accumulation range, it is possible we could see a gap fill of the August 2022 earning gap around 97.4. As a trade, a tight stop at the recent low of 63.06 presents a very favorable setup, with a potential > 10:1 RR. There was a time when ZM was a clear no-touch, and for good reason. But after the absolute destruction in value over the last few years, to finally allow price to re-align with more reasonable valuation levels, this name can finally be taken back out of the penalty box.
NASDAQ:ZMLong
by CycleTargets
Unveiling the Golden Opportunity: Why XAUUSD/Gold is My FavoriteJoin me on an immersive journey as I delve into the unparalleled allure of trading XAUUSD/Gold. In this comprehensive exploration, I'll unravel the intricacies of trading gold, from its status as a timeless safe-haven asset to its remarkable resilience in the face of market volatility. Delve deeper into the historical significance of gold, its correlation with global economic trends, and the unique opportunities it presents to traders. Through expert analysis and insightful commentary, I'll showcase why XAUUSD/Gold remains my preferred pair for unlocking consistent profits and navigating the ever-evolving landscape of financial markets. Buckle up and discover the golden secrets to trading success with me.
PEPPERSTONE:XAUUSDEducation
by ControllaFX
Doge bullish journey to the Moon + the watch link!Following the announcement of the launch of Doge to the Moon, the bulls have dominated the market and the supply ranges have been greatly reduced, and the price of Doge as well as the price of Bitcoin are getting higher, and it is expected that this trend will continue until the landing of Doge on the Moon's surface. Dogecoin is supposed to launch to the Moon from the launchpad in next several hours, by SpaceX's Falcon 9 rocket. To watch the launch live, click on the following link: www.youtube.com or this: www.youtube.com
COINBASE:DOGEUSDLong
by GeraldMann
2
Dollar depreciation ahead of Inflation and CPI this week. The market sentiment appears to be that the expectation should be that Inflation and price level data for the U.S economy coming in on Wednesday. The trend with bad U.S at the moment seems to be reasonable to infer some depreciation in the Dollar rate as market participants want to get out and begin front running the Fed ahead of their first anticipated rate cut. Therefore if this hypothesis is true and price levels and inflations continue to grow at a slower pace I believe that will confirm my thesis on intra-week Dollar depreciation. This is a very short-term position overall and I do anticipate the Dollar to rebound depending on how this plays out as I feel as though there is more room for Dollar appreciation as the labour market remains tight and government spending seems at an all time high. It is hard at the moment at least for me to see sustained depreciation over the next quarter. Even though I have an end date for my domain it appears that it is not displaying. The end date for this position will be Wednesday at midnight.
Short
by MostlyFXcharts
INBS pumped on earnings crush= Watching for LONG maybeINBS crush earnings and went parabolic on an earnings beat. Basically, revenues fell but with belt-tightening and good CEO actions it bled less cash than expected. The tourniquet is working. The post-earnings pump was followed by a flush to the mid-Fib 0.5 support. Trader's got their reward and called it a weekend before lunch. The chop index fell into the consolidation zone and the MACD turned bearish. See the 5 minute chart image inserted to the left. The RSI lines are about 50 maybe with a crossdown impending. I have this on watch for a reversal up. Much will depend on general market strength on Monday. Biotechnology is projected as a hot sector now. This stock was among the hottest of the day. Hoping for a bullish continuation knowing that a trend down is likewise possible.
NASDAQ:INBS
by AwesomeAvani
2
PRAX Analysis after new securities sales, and recent agreements8791877 = Shares as of 31st December + New sales to BCPE @ initial book value of 10.12 + (443k shares @ 22.56) = 10.832665237 new book value + approx 4230000 of shares and warrants sales approx near @33.5 = approx 18.84$ / share + $5M in cash payment = 19.22$ / share Total Shares = 13021877 Anticipated quarterly loss between 2 to 3$ per share 264M$ on milestone achievements for development, regulatory and commercialization (subject to milestone achievements) Let's say milestones achievements takes between 6 mos to 2 years as follows: 1) 6 months scenario - development = loss of approx 4-6$ per share = +88M for development milestone achievement = -5$ loss + 19.22 + ( FWB:88M if milestone is achieved) = 20.597$ with milestone = 14.22$ without milestone 2) 1 year scenario - development+regulatory = loss of approx 8-12$ per share = +132M for development+regulatory milestones achievement = -10$ loss + 19.22 + ($132M if both milestones are achieved) + (or FWB:88M if only one milestone is achieved) = 9.22$ without any milestone = 15.97$ with one milestone = 19.35$ with both milestones 3) 2 years scenario - dev+reg+commercialization = loss of approx 16-24$ per share = +264M for development + regulatory + commercialization milestones achievement = -20$ loss + 19.22 + ($264M with 3 milestones) + (or $132M with two milestones) + (or FWB:88M with one milestone) = -0.78$ with no milestones = $5.97 with one milestone = $9.35 with two milestones = $19.49 with all 3 milestones These calculations assume there's no other additional securities sale than above.
NASDAQ:PRAXShort
by aniHotmail
Tesla Faces Turbulence as SAP Withdraws, Piper Slashes TargetsTesla (NASDAQ: NASDAQ:TSLA ), the electric vehicle juggernaut led by Elon Musk, witnessed a sharp decline of nearly 6% in its stock value on Monday. This downturn was triggered by a dual blow – German software firm SAP's decision to cease its purchase of electric cars from Tesla ( NASDAQ:TSLA ) and Piper Sandler's reduction in the stock price target. As the electric automaker's shares plummeted to $177.27, marking their lowest point since May 2023, concerns loom over Tesla's ( NASDAQ:TSLA ) market capitalization, with potential losses reaching a staggering $34 billion if the downward trend persists. SAP's Decision and Delivery Woes: The catalyst for the stock plunge came with the revelation that SAP, a prominent German software firm, has opted to no longer source company cars from Tesla ( NASDAQ:TSLA ). Citing reasons such as delivery delays and price fluctuations, the move by SAP has added fuel to the fire, accentuating the challenges faced by the electric car giant. The German publication Handelsblatt reported the decision, sending ripples through the market and contributing to Tesla's already tumultuous week. Piper Sandler's Grim Outlook: Adding to the woes, Piper Sandler, a reputable brokerage, slashed its stock price target for Tesla ( NASDAQ:TSLA ), citing lower delivery expectations for the year. The brokerage now expects Tesla ( NASDAQ:TSLA ) to deliver 1.93 million vehicles in 2024, representing a modest growth rate of approximately 7%. This figure pales in comparison to the ambitious 50% growth target set by Elon Musk three years ago. The brokerage's concerns extend beyond the immediate future, expressing apprehension about potential price cuts due to an aging product lineup. As Tesla ( NASDAQ:TSLA ) grapples with these challenges, the stock price target was reduced from $295 to $225, intensifying the bearish sentiment surrounding the company. Market Dynamics and Valuation Tesla's price-to-earnings ratio of 57.75 times its 12-month forward earnings estimates is significantly higher than its peers such as Meta Platforms and Amazon.com, which have ratios of 24.10 and 40.97, respectively. This raises questions about the sustainability of Tesla's ( NASDAQ:TSLA ) current valuation, given recent setbacks and the overall market dynamics. Elon Musk's Warning and Consumer Demand: CEO Elon Musk's warning about sluggish consumer demand due to high interest rates adds another layer of complexity to Tesla's ( NASDAQ:TSLA ) challenges. Despite refreshing the styling and features of the Model 3 compact sedan, concerns linger about the impact of interest rates on consumer preferences, potentially impacting the demand for Tesla's offerings. Conclusion: As Tesla ( NASDAQ:TSLA ) grapples with a confluence of challenges – from SAP's withdrawal to Piper Sandler's grim projections – the electric vehicle giant finds itself at a crossroads. The stock's recent downturn prompts investors and industry observers alike to closely monitor how Tesla navigates these turbulent waters. Whether the company can regain momentum, address delivery issues, and rekindle investor confidence remains to be seen, but one thing is clear – the road ahead for Tesla ( NASDAQ:TSLA ) is anything but smooth.
NASDAQ:TSLAShort
by DEXWireNews
$TSLA Long as Thursday Cyber Truck Event is upon us!NASDAQ:TSLA Cyber Truck Event is this Thursday; that being said we already know how NASDAQ:TSLA reacts to good news... I'm expecting some pullback to the lows of $231.97-226.54 then head towards 222.46-221.57 on bearish side... Expecting gap push to $241.07-$244.01 then comes $252.75-254.63 then follows $258.31-259.74 then $263.88-265.39 then follows the gap to $270-278 I'm expecting some pullback based off the 1hr/4hr timeframes first we should pullback then dip will be bought up as event gets closer. This is NFA, simple idea.
NASDAQ:TSLALong
by calmstrades
2 Accurate Predictions Made by AI for McDonald's (MCD)In the rapidly evolving landscape of financial markets, Artificial Intelligence (AI) has emerged as a transformative force, revolutionizing the way analysts, investors, and traders interact with stocks, trends, and market predictions. This in-depth analysis explores the multifaceted impact of AI on financial strategies, highlighting significant instances of its application by innovative platforms like Tickeron, and culminating with an exploration of Tickeron Patterns and AI Robots in the contemporary trading environment. AI in Financial Analysis: Artificial Intelligence has transcended traditional boundaries in financial analysis, offering unprecedented precision in stock market predictions and technical analysis. By leveraging complex algorithms and machine learning techniques, AI systems can identify patterns and trends that are imperceptible to the human eye. This capability not only enhances the accuracy of market forecasts but also democratizes access to sophisticated analysis, previously the preserve of a select group of highly skilled analysts. Bearish and Bullish Patterns: Tickeron's AI-driven Insights One of the most compelling demonstrations of AI's predictive prowess in the financial markets is provided by Tickeron's detection of bearish and bullish stock patterns. These instances not only showcase the accuracy of AI-driven forecasts but also offer valuable lessons for traders and investors. Prediction #1. Downtrend Detected Bearish Broadening Bottom Pattern in McDonald's Corp (MCD) On September 21, 2023, Tickeron's AI, A.I.dvisor, detected a bearish Broadening Bottom Pattern in McDonald's Corp (MCD), with the stock priced at $271.22. This pattern, traditionally associated with increasing volatility and a potential downturn, was confirmed four days later. By October 3, the stock reached the AI-set target price of $257.36, resulting in a significant 5.79% gain for traders who shorted the stock based on the AI's prediction. Prediction #2. Uptrend Detected Bullish Broadening Top Pattern in McDonald's Corp (MCD) Conversely, on March 27, 2023, A.I.dvisor identified a bullish Broadening Top Pattern for McDonald's Corp, with an initial stock price of $273.84. The confirmation of this pattern the following day, with a target price of $286.05, heralded a potential upturn. By April 12, the stock hit the target, culminating in a 4.18% gain for those who invested based on the bullish signal. AI in Technical Analysis The instances of Tickeron's AI-driven predictions underscore the significant advantages AI brings to technical analysis. Unlike traditional methods, which rely heavily on historical data and often lag behind real-time market dynamics, AI's predictive models are dynamic. They adapt to new information, enabling more timely and accurate forecasts. This adaptability is particularly crucial in volatile markets, where the ability to anticipate changes can significantly impact investment outcomes. Financial Analysis AI's role extends beyond enhancing prediction accuracy; it democratizes access to advanced financial analysis. Tools like Tickeron make sophisticated market insights accessible to a broader audience, leveling the playing field between individual investors and institutional players. This shift not only empowers retail investors but also fosters a more inclusive financial ecosystem. Patterns and AI Robots: Tickeron`s AI Robots are recommended to be used when the markets are falling in general. The core algorithm makes only long trades utilizing 15 expert-selected inverse ETFs. A sophisticated risk-management engine builds the position using dynamically calculated trailing stop levels while the market goes in the expected direction. The trajectory of falling markets is analyzed and short-term corrections are used as additional entry points. The Robot closes all trades when a significant market reversal is detected and confirmed. The robot's trading results are shown without using margin. Every minute, AI Robot scans the ETFs (15) listed in the field “Customized”. A user can adjust the ETFs selected and see changes in the expected number of trades per day and/or other statistics. Tickeron's AI advancements, particularly in pattern detection and robot-assisted trading, exemplify the transformative potential of AI in the financial domain. As these technologies continue to evolve, they promise to further refine market analysis, enhance trading strategies, and ultimately, redefine the landscape of financial investment. In conclusion The integration of Artificial Intelligence into financial markets is not just a passing trend; it is a profound shift that is reshaping the industry. From enabling more accurate predictions through platforms like Tickeron to democratizing financial analysis and fostering innovative trading strategies, AI is at the forefront of a financial revolution. As we look to the future, the continued development and ethical application of AI technologies will undoubtedly play a pivotal role in the evolution of financial markets, offering both challenges and opportunities in equal measure. MCD sees MACD Histogram crosses below signal line MCD saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on January 26, 2024. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 53 instances where the indicator turned negative. In 23 of the 53 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 43%. Price Prediction Chart Technical Analysis (Indicators) Bearish Trend Analysis The 10-day RSI Indicator for MCD moved out of overbought territory on January 03, 2024. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 38 similar instances where the indicator moved out of overbought territory. In 14 of the 38 cases, the stock moved lower in the following days. This puts the odds of a move lower at 37%. The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 31 of 78 cases where MCD's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 40%. Following a 3-day decline, the stock is projected to fall further. Considering past instances where MCD declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 40%. MCD broke above its upper Bollinger Band on January 19, 2024. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options. Bullish Trend Analysis The Momentum Indicator moved above the 0 level on January 30, 2024. You may want to consider a long position or call options on MCD as a result. In 35 of 93 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 38%. The 50-day moving average for MCD moved above the 200-day moving average on January 08, 2024. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend. Following a +0.82% 3-day Advance, the price is estimated to grow further. Considering data from situations where MCD advanced for three days, in 157 of 336 cases, the price rose further within the following month. The odds of a continued upward trend are 47%. The Aroon Indicator entered an Uptrend today. In 167 of 396 cases where MCD Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 42%. Fundamental Analysis (Ratings) Fear & Greed The Tickeron SMR rating for this company is 9 (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock. The Tickeron Profit vs. Risk Rating rating for this company is 11 (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 81, placing this stock better than average. The Tickeron Valuation Rating of 15 (best 1 - 100 worst) indicates that the company is slightly undervalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (0.000) is normal, around the industry mean (7.168). P/E Ratio (25.217) is within average values for comparable stocks, (188.716). Projected Growth (PEG Ratio) (1.887) is also within normal values, averaging (1.596). Dividend Yield (0.022) settles around the average of (0.033) among similar stocks. MCD's P/S Ratio (8.396) is slightly higher than the industry average of (2.309). The Tickeron Price Growth Rating for this company is 38 (best 1 - 100 worst), indicating steady price growth. MCD’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents. The Tickeron PE Growth Rating for this company is 79 (best 1 - 100 worst), pointing to worse than average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents. The last earnings report on October 30 showed earnings per share of $3.17, beating the estimate of $3.00. With 3.33M shares outstanding, the current market capitalization sits at 207.42B. Notable companies The most notable companies in this group are McDonald's Corp (NASDAQ:MCD), Starbucks Corp (NASDAQ:SBUX), Chipotle Mexican Grill (NASDAQ:CMG), Yum! Brands (NASDAQ:YUM), Darden Restaurants (NASDAQ:DRI), Yum China Holdings (NASDAQ:YUMC), Domino's Pizza (NASDAQ:DPZ), Shake Shack (NASDAQ:SHAK), Noodles & Company (NASDAQ:NDLS). Industry description The industry includes companies that operate full-service restaurants, fast food restaurants, cafeterias and snack bars. McDonald's Corporation, Starbucks Corporation, YUM! Brands, Inc. and Restaurant Brands International Inc. are some of the largest U.S. restaurant-owning companies in terms of market capitalization. While restaurant spending could be viewed as discretionary for consumers, some companies in the business have been able to weather economic cycles by establishing strong loyalty among customers over the years. Many of them also have a strong global presence as well. Market Cap The average market capitalization across the Restaurants Industry is 7.27B. The market cap for tickers in the group ranges from 6.73K to 207.42B. MCD holds the highest valuation in this group at 207.42B. The lowest valued company is AMHG at 6.73K. High and low price notable news The average weekly price growth across all stocks in the Restaurants Industry was 2%. For the same Industry, the average monthly price growth was 1%, and the average quarterly price growth was -6%. JKHCF experienced the highest price growth at 88%, while DPZUF experienced the biggest fall at -30%. Volume The average weekly volume growth across all stocks in the Restaurants Industry was 12%. For the same stocks of the Industry, the average monthly volume growth was 6% and the average quarterly volume growth was 32%
NYSE:MCD
by Serhii_Bond
TRX.X in upward trend: price rose above 50-day moving average onTRX.X moved above its 50-day moving average on January 10, 2024 date and that indicates a change from a downward trend to an upward trend. In 42 of 66 similar past instances, the stock price increased further within the following month. The odds of a continued upward trend are 64%. Technical Analysis (Indicators) Bullish Trend Analysis The Momentum Indicator moved above the 0 level on January 25, 2024. You may want to consider a long position or call options on TRX.X as a result. In 82 of 149 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 55%. The Moving Average Convergence Divergence (MACD) for TRX.X just turned positive on January 25, 2024. Looking at past instances where TRX.X's MACD turned positive, the stock continued to rise in 32 of 68 cases over the following month. The odds of a continued upward trend are 47%. Following a +5.34% 3-day Advance, the price is estimated to grow further. Considering data from situations where TRX.X advanced for three days, in 249 of 475 cases, the price rose further within the following month. The odds of a continued upward trend are 52%. The Aroon Indicator entered an Uptrend today. In 185 of 365 cases where TRX.X Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 51%. Bearish Trend Analysis The 10-day RSI Indicator for TRX.X moved out of overbought territory on January 14, 2024. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 55 similar instances where the indicator moved out of overbought territory. In 24 of the 55 cases, the stock moved lower in the following days. This puts the odds of a move lower at 44%. The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 33 of 91 cases where TRX.X's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 36%. Following a 3-day decline, the stock is projected to fall further. Considering past instances where TRX.X declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 38%. TRX.X broke above its upper Bollinger Band on January 26, 2024. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options. Market Cap The average market capitalization across the group is 9.88B. The market cap for tickers in the group ranges from 9.88B to 9.88B. TRX.X holds the highest valuation in this group at 9.88B. The lowest valued company is TRX.X at 9.88B. High and low price notable news The average weekly price growth across all stocks in the group was 5%. For the same group, the average monthly price growth was 4%, and the average quarterly price growth was 45%. TRX.X experienced the highest price growth at 5%, while TRX.X experienced the biggest fall at 5%. Volume The average weekly volume growth across all stocks in the group was -29%. For the same stocks of the group, the average monthly volume growth was 7% and the average quarterly volume growth was 25% CRYPTOCAP:TRX
CRYPTOCAP:TRXLong
by Serhii_Bond
Innovations in Trading Bots Powered by AIIn the dynamic arena of stock trading, Tickeron has distinguished itself with the introduction of Virtual Accounts (VAs), a novel class of AI Robots designed for advanced risk management in the fluctuating financial market. This development signifies a major leap in the capabilities of AI-driven trading tools, offering traders and hedge funds enhanced risk management options. The Generation of Tickeron's Virtual Accounts Tickeron, a pioneer in AI trading technology, recognized the growing need for AI Robots capable of proficient risk management. Their team of quantitative analysts developed a platform blending effective algorithms with sophisticated money management models. This innovation gave birth to the Virtual Accounts, heralding a new era in AI trading. Core Attributes of Virtual Accounts Customizable Trading Balance and Position Size: Enabling traders to tailor their investment strategies. Advanced Hedging System: Facilitates both long and short positions for versatile trading. Loss Limitation Measures: Implements safeguards for better risk control. Tickeron's Evolutionary Pathway Tickeron's commitment to revolutionizing trading experiences unfolds through four developmental stages, each designed to cater to the varied demands of their client base: First Stage: Development of a comprehensive suite of AI Engines for technical and fundamental analysis. Second Stage: Introduction of Virtual Accounts, enabling manual replication of trades to brokerage accounts. Third Stage (Forthcoming): Integration of VAs with brokerage accounts for executing real money trades. Fourth Stage (Proposed): Rollout of fully automated trade execution directly linked to users' brokerage accounts. Advancing the AI Trading Ecosystem Tickeron, a central figure in algorithmic AI trading, offers innovative tools like the Pattern Search Engine and Trend Prediction Engine. The deployment of Virtual Accounts offers multiple benefits to traders: Customizable Trading Parameters: Adjusts trading balance and position size according to individual risk preferences. Hedging Strategies: Offers protection against market downturns. Trade Automation: Reduces human error with AI-driven trade replication. Enhanced Risk Management: Curtails potential losses and bolsters decision-making. Adaptability: Stays abreast of evolving financial markets. Continuous Enhancement: Ensures regular updates and improvements to algorithms and AI Robots. Embracing the AI Revolution in Trading Tickeron's Virtual Accounts represent a significant advancement in AI-powered trading, providing dynamic tools for effective market navigation. While these innovations promise to transform trading strategies, potential investors are urged to comprehend the associated risks and limitations. As AI reshapes the financial sector, Tickeron's dedication to innovation firmly positions them at the forefront of AI-driven trading solutions for the future.
TLong
by Serhii_Bond
PYPL: The Future of Payments Isn't Just About Money !For me PayPal is more than just a payment processor. It's a platform that's changing the way we live, work, and play. And in a world that's always looking for the next smile, PayPal is the perfect partner. Just think about it. With PayPal, you can send money to friends with a funny meme. You can buy a gift for your mom with a hilarious message attached. And you can even pay for your pizza with a joke about how you're going to eat it all. The future of payments is about making people smile, and PayPal is leading the way. So if you're looking for a way to make your life a little bit more fun, then invest in PayPal. You won't regret it.
NASDAQ:PYPLLong
by SabahEquityResearch