Black Friday saleUp to 70% OFF
TESLA INCTESLA INCTESLA INC

TESLA INC

No trades
See on Supercharts
Overview Financials News
Ideas
Discussions Technicals Forecast Seasonals Bonds

TSLA trade ideas

$TSLA #Breakout #ReTest Price Target Still: $300 EOYLotta people talking about NASDAQ:TSLA , here are my thoughts... NASDAQ:TSLA clear STRONG BREAK of MULTIYEAR RESISTANCE LINE... Now retesting to ask "Is it real?" There should be a STRONG BOUNCE on NASDAQ:TSLA in coming day via technicals (see past charts if you think technicals are "BS") = (Equally,) if there is NO Bounce, that is a BIG sign of weakness as it would be a BRUTAL BULL TRAP... Paytience pays, will post updates if I stab long on this setup... Tech has had a healthy sell off imo. There was only a few mins of "Panic" that I noticed personally throughout the whole market. NASDAQ:NVDA abandoned baby idea highlights panic dump and Warren Buffett "buy when others are fearful" motto... 3 weeks in a row with BIG RED days should mean a lot of "Protection" was bought via puts... This is HEALTHY!!! (No overleveraged DELTA/BUBBLE...) I believe another #WHITEBOYSUMMER #SHORTSQUEEZE could have been BUILT ;) I will be legging into some serious longs this week if it looks like we bottomed out by the end of this coming week. End of month usually makes for some good trade opportunities... To confirm market strength is back, look for what was working all year ie; Mag7 + AI ... Gold should also be on watch imo...
NASDAQ:TSLALong
by Prophecies_R_Us
39
Tesla's Q2 2024 earnings report, sign to the moon!Tesla's Q2 2024 earnings report was like a summer blockbuster with a twist ending. Revenue soared to a staggering $25.5 billion, but earnings per share (EPS) took a nosedive, dropping to $0.46 from $0.85 in the same quarter last year. It's a classic case of "one step forward, two steps back." While the electric vehicle (EV) giant is still projected to grow faster than the rest of the auto industry, those shrinking profit margins are raising eyebrows. It's like Tesla's throwing a party but forgot to budget for the drinks. The technical analysis tells a similar story of mixed signals. The stock chart resembles a roller coaster, with the recent earnings report doing little to calm the ride. Sure, Tesla is still the top dog in the EV world, but those shrinking profit margins are a red flag. It's like seeing a Ferrari with a flat tire – it still looks cool, but you know it's not going anywhere fast. Rookie Takeaway: Tesla's like a hot rod on the stock market highway – revving up its revenue engine while burning through cash like it's going out of style. Sure, it's still a thrilling ride, but investors might start feeling a little carsick if those profit margins keep shrinking. So, buckle up and keep your eyes peeled – this Tesla joyride could get bumpy.
NASDAQ:TSLA
by CriptoJoe
How to Use Artificial Intelligence for Stock TradingHow to Use Artificial Intelligence for Stock Trading As you may know, AI can mimic human intelligence and make decisions based on data analysis. Artificial intelligence can be used in stock trading to analyse historical market and stock data, generate investment ideas, form portfolios, and automatically buy and sell stocks. AI is able to quickly process huge amounts of data and make informed trading decisions. AI-based trading strategies can be used to identify patterns and trends in real time. This FXOpen article explores the process of using artificial intelligence in stock trading and highlights the pros and cons of AI automated trading. How Does Trading with AI Work? Using AI for trading stocks is a relatively new practice. AI analyses markets with accuracy and efficiency and makes forecasts that help traders mitigate risks and provide higher potential returns. Here’s an overview of how AI stock trading works. The first stage needed for an AI model to function properly is robust data collection and preprocessing. This stage is akin to gathering raw materials to create a final product. During the second stage, specialists load historical data and algorithms into the model, which serve as the basis for identifying trends and price fluctuations that took place in the past. This way, the model obtains the information it will then analyse and learns how to analyse it. During the third stage, the model uses real-time data from various sources, such as financial news and economic indicators, to make forecasts. As new data becomes available, the models can be adjusted and refined. The best AI stock trading software can only be created using cleaned, structured, and prepared data. The final stage includes making trading decisions, such as when to buy or sell stocks, based on the processed data. AI systems can execute trades automatically. AI can also manage investment portfolios by adjusting the allocation of assets depending on market conditions. What to Look Out for When Using AI in Trading When creating an AI system for trading, choosing the most appropriate algorithm is of paramount importance. There’s a wide range of algorithms; for example, support vector machines (SVMs) are well suited for classification tasks and recurrent neural networks (RNNs) for sequence prediction. The choice of algorithms depends on trading goals and the type of data a trader will be working with. It’s a good idea to look at performance metrics such as accuracy, precision, recall, and F1 score to determine which algorithm is the best fit for your trading strategy. If you decide to implement AI in stock market trading, you’ll need to pay attention to a few things that will allow you to minimise risks. Risk Management and Control Although AI offers many benefits in trading, it creates a new set of risks, in particular, the risk of automated decision-making. It’s important to have human oversight to ensure that the AI is making informed decisions. Human expertise helps identify potential risks and adjust the AI model as needed. Traders can take precautions, such as setting stop-loss and take-profit levels, to make sure that AI algorithms do not cause excessive losses. Data Quality Poor-quality data can lead to inaccurate predictions and incorrect trades. It’s important that the data uploaded to the system is accurate, relevant, and up-to-date and that the AI stock market trading software provider is trustworthy and reliable. Ideally, an AI system will continuously analyse incoming data and adapt to changing market conditions. For example, if an unexpected economic event occurs, the AI model must be capable of adjusting its strategies in real time. Regulatory Compliance The adoption of AI in trading also brings forth regulatory challenges. When using AI, it is critical to comply with financial regulations to avoid legal issues. This includes ensuring that the AI model is transparent and explainable and that it does not engage in illegal activities such as insider trading. AI trading strategies should comply with all relevant laws. Case Studies and Examples One real-life example of successful AI adoption in trading is the case of the hedge fund Renaissance Technologies, which uses proprietary trading algorithms based on artificial intelligence. The New York-based hedge fund has a reputation as one of the most successful investment companies in the world using AI. Bridgewater Associates, also one of the world’s largest hedge funds, uses AI to analyse market data and make trading decisions. The fund has been successful in using AI to identify patterns and trends in market data. The third example is the use of AI in high-frequency trading. High-frequency trading involves using algorithms to execute trades at high speed. AI makes it possible to execute trades with speed and accuracy that exceeds human capabilities. Benefits and Challenges of AI Trading The new technology has both advantages and pitfalls. Here’s a table summarising the benefits and challenges of using AI algorithmic trading. Benefits - Increased efficiency - Improved accuracy - Effective risk management - Real-time analysis - Diversified trading strategies - Enhanced liquidity management and execution of large orders - Improved decision-making Challenges - Low-quality data - Overfitting - Limited human oversight - Compliance with financial regulations - Cost - Potential for increased complexity - Potential for reduced transparency Using AI can result in increased efficiency, improved accuracy, effective risk management, and much more. Of course, there are other ways to analyse the market. For example, on the TickTrader trading platform, you can trade using advanced tools for analysing and assessing risks. Data quality issues, model overfitting, and limited human oversight are the potential risks that can hinder the effectiveness of trading. To mitigate these challenges, consider validating data, testing the model, and adapting to evolving market conditions. Final Thoughts AI allows traders to analyse vast amounts of data, identify patterns, and make informed decisions quickly. However, it’s important to manage and control the risks associated with the use of AI in trading. Carefully consider the challenges and limitations and endeavour to take steps to mitigate them. You can open an FXOpen account to start trading, and as you gain experience, consider implementing advanced technologies, including AI. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
NASDAQ:TSLAEducation
by FXOpen
6
$TSLA DOUBLE BOTTOM $206 BEFORE 1Q EARNING A double bottom pattern is a well-known charting formation in technical analysis that signifies a significant shift in trend and a reversal of momentum from a previous downward movement in market trading. It illustrates the decline of a security or index, followed by a recovery, another decline to the same or similar level as the initial drop, and ultimately another recovery (which could potentially lead to a new upward trend). - Elon Musk, the CEO of $Tesla, has officially announced that the company will introduce its Robotaxi during a highly anticipated unveiling event scheduled for August 8th. -$Tesla's CEO Elon Musk is scheduled to meet with Indian Prime Minister Narendra Modi in India to discuss and unveil the company's investment plans. NASDAQ:TSLA Institutional Holdings -Increased Positions 1,615 66,420,077 -New Positions 333 7,940,604 $160 BOTTOMMMMMM (SUPPORT) $183 RESITANCE (NEED TO BREAK)
NASDAQ:TSLALong
by sej4974
Should you be selling your #Bitcoin for #TSLA right now?These types of rotations and range trades offer investors fantastic opportunities if these relationships continue. We have seen this for Bitcoin and it's ratio's to stocks/metals & altcoins is not a one way trade as it ONCE used to be. 2009 - 2017 was the golden #crypto era when gains were the easiest to acquire. However the low hanging fruit has been totally plucked, as #BTC's returns have crawled to not much more (or sometimes less) than the leading stocks of the day. I still maintain a $140-145k price target for this cycle for bitcoin But I also have a very aggressive long term price objective for #TESLA of $1000 (which is around 3 trillion dollars market cap)
NASDAQ:TSLA
by BallaJi
TESLA The Target Is UP! BUY! My dear subscribers, My technical analysis for TESLA is below: The price is coiling around a solid key level - 219.92 Bias - Bullish Technical Indicators: Pivot Points Low anticipates a potential price reversal. Super trend shows a clear buy, giving a perfect indicators' convergence. Goal - 241.88 About Used Indicators: By the very nature of the supertrend indicator, it offers firm support and resistance levels for traders to enter and exit trades. Additionally, it also provides signals for setting stop losses ——————————— WISH YOU ALL LUCK
NASDAQ:TSLALong
by AnabelSignals
1
TeslaPrice is moving within the range 215 to 226. Unless price gains strength, price will be moving in the same range. Now it is facing trend line resistance and consolidating. Buy above 221 with the stop loss of 219.5 for the targets 222.5, 224 and 226. Sell below 218 with the stop loss of 219.5 for the targets 216.5, 215 and 213. Hit the like button to Rock !! Show some energy !! Note : This is my pre market analysis and my trading journal. Not a suggestion to buy or sell. You are responsible for whatever you do.
NASDAQ:TSLA
by vanathi
5