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1-BTCUSD

BTCUSD Buyers In Panic! SELL! My dear friends, BTCUSD looks like it will make a good move, and here are the details: The market is trading on 67614 pivot level. Bias - Bearish Technical Indicators: Supper Trend generates a clear short signal while Pivot Point HL is currently determining the overall Bearish trend of the market. Goal - 67240 About Used Indicators: Pivot points are a great way to identify areas of support and resistance, but they work best when combined with other kinds of technical analysis ——————————— WISH YOU ALL LUCK
BITSTAMP:BTCUSDShort
by AnabelSignals
4
How to avoid being emotional in trading?Avoiding emotional trading is a key skill in successful investing and trading, as it helps minimize impulsive decisions that can lead to losses. Here are some strategies and insights to help maintain a disciplined approach to trading and avoid being swayed by emotions like fear, greed, or overconfidence: 🔸 Create and Stick to a Trading Plan ▪️Set Clear Goals: Define your profit goals, risk tolerance, and entry/exit points in advance. ▪️Follow Predefined Rules: A trading plan provides structure, guiding you to make logical decisions rather than impulsive ones. ▪️Limit Exposure: Decide on position sizes beforehand to avoid overcommitting and feeling compelled to make irrational moves if markets turn volatile. 🔸 Use Stop-Loss and Take-Profit Orders ▪️Automate Exit Points: Setting up stop-loss and take-profit orders allows you to exit trades at predefined points, limiting the need to make quick, emotion-driven decisions during market fluctuations. ▪️Reduce Monitoring: Knowing your trades will automatically exit at specific points reduces the need for constant checking, which can often lead to stress and emotional reactivity. 🔸 Practice Patience and Avoid Overtrading ▪️Avoid Excessive Monitoring: Watching the market closely can lead to impulsive reactions to small fluctuations. Stick to reviewing your trades periodically rather than minute-by-minute. ▪️Limit Trade Frequency: Overtrading, driven by the need to “make back” losses or maximize gains, often leads to poorly thought-out decisions. Trade only when your trading plan calls for it. 🔸 Develop a Balanced Mindset ▪️Stay Neutral to Wins and Losses: Emotional attachment to individual trades can make it harder to accept losses and lead to revenge trading, where you try to make up losses through risky moves. ▪️Accept Losses as Part of the Process: Even the best traders face losses. Accepting this and moving on helps maintain perspective and discipline, which are essential for long-term success. 🔸 Utilize Data and Analysis Over Intuition ▪️Focus on Objective Indicators: Base decisions on data, such as price charts, moving averages, and technical indicators, rather than “gut feelings.” ▪️Avoid Confirmation Bias: Seeking only information that supports your existing beliefs can lead to one-sided and often poor decisions. Stay open to all relevant information. 🔸 Take Breaks and Manage Stress ▪️Step Away After a Major Loss or Win: Strong emotional responses often follow big losses or gains. Taking a break gives you time to reset your mindset before your next trade. ▪️Practice Relaxation Techniques: Techniques like deep breathing, meditation, or even short exercises can reduce stress and improve focus, reducing emotional reactions. 🔸 Build Self-Awareness ▪️Reflect on Your Emotions: Keeping a trading journal can help you understand emotional triggers and patterns in your decision-making. ▪️Work with a Trading Coach or Join a Community: Having accountability, whether through a mentor or a trading group, can help you stay grounded and receive objective feedback on your trading behavior. 🔸 Set Realistic Expectations ▪️Don’t Chase Unrealistic Returns: Expecting massive returns can lead to risky, emotion-fueled decisions. Focus on sustainable, gradual growth. ▪️Acknowledge Market Unpredictability: Markets are often unpredictable, and not every trade will go as planned. Accepting this helps lower emotional stakes with each trade. 🔸 Consider Using Algorithmic or Automated Trading ▪️Remove Emotion from Execution: Algorithmic trading allows traders to set parameters and let algorithms execute trades, effectively reducing emotional interference. ▪️Define Rules for Entry and Exit: Predefined rules, when followed strictly by algorithms, allow for a structured and emotion-free approach to trading. Adopting these practices helps build discipline, patience, and resilience, which are essential for minimizing the negative impact of emotional trading on your overall financial success.
Education
by ProjectSyndicate
25
BTC cycle measurements for BREAK OUT and ATHBREAK OUT from previous cycle’s ATH price One of the cycle events that I feel is worth measuring is the event of breaking the previous cycle ATH and staying (well) above it. And the way that I measured this in the past I overlooked an important thing. I measured only when the dates the price first hit the previous ATH, and not to the later dates of when the price actually held above it, never to see it again. I feel like measuring from halvings makes most sense, but interestingly enough measuring from previous ATL and ATH, they all overlap. With measuring this way, and giving weight to the idea of the cycles, I am now keeping an open mind that this event might happen between later Nov to late Jan 2025. (Thinking it won't happen until March seems unlikely to me, but who knows). In 2020, it was on Dec 13th, which is right in the middle of the measurements from past halvings. Cycle ATH Time Frame Same here, I think Halving to ATH seems like the best to measure, but I also measured ATL to ATH, and ATH to ATH. Once btc finally breaks and stays above 69k then we can also map out that for another time frame to ATH. Call it last cycle PTSD, but I’m not as interested in digging into the price points or percentage gains. But as an attempt, I did measure ATH to ATH percentage gains. I don’t see any simple pattern here. C3 (2021 top) does seem like a heavy under-performing outlier. With some simple theories I came to very round numbers of 150k on the lower end, 250k being hopeful, and 280k on the higher end. I label C3 as “cycle 3” which I’m referring to the 2020 cycle. C2 is the 2016 cycle and C1, 2012. Cycle One is probably 2008 to some people, I apologize for confusion.
BNC:BLXLong
by rozayjay
5
BTCUSD—Oversold Zone Approaching, Correction LikelyGM crypto bro's, happy weekend! Fear and greed index remains in the greed zone at 74, while Stoch RSI continues to approach oversold territory. Today’s price action outlook is similar to yesterday’s update, with a likely target correction around the 64K range. Current potential for a pump is low. Remember, markets are dynamic—stay cautious, don’t FOMO, and always manage risk. Akki signing off—one chart, one love. Have a great day and stay SAFU.
INDEX:BTCUSD
by x_Akki
ATCryptoScan : BTSUSD at that time againLooking back at the BTCUSD weekly charts, there appears to be similar, if not the same, technical conditions before the start of a massive BTCUSD rally. Marked out by time lines, the Green lines are the most similar to current (yellow), and the orange has only a differing VolDiv. All are breakout points and appears to be great accumulation start points for the next year or two. Just weeks ago, a similar technical set up was made, and today is a couple of weeks after... Clear correlation here, so we know what the most probable for the next year going forward... Bullish BTC
BITSTAMP:BTCUSDLong
by Auguraltrader
Raydium - Load The Truck Raydium. Higher 24H Fees Generated Than ETH 800M Mcap, 1.6b FDV Breakout against BTC.. Nobody uses Jupiter.. Raydium is where it's at.. Pump.Fun is the real catalyst for this bull run, and Raydium is the LP they've partnered with.. It's not just a DEX...Raydium grants you , with no experience, and no money.. the power to create your own currency celebrating your overweight cat.. and give people something to believe in. But it also allows people to create communities around things that matter.. community is the new narrative. People believing in something is the spark of this new movement. Doge was the first crypto example.. GME and AMC were the first trad fi examples .. Then came the OG memes DOGE, SHIB... The space grew to other chains.. PEPE.. BOME... WIF... Then .. bang. Tweets are being tokenized. Videos are being tokenized.. The merge is happening, between media and money... And it's Raydium at the center of it Raydium is the pick. Just buy it and don't think about it until end of 2025. Initial target, depth of the cup.. 700ish% against BTC (while btc is breaking out we're assuming).. so 20x in USD more or less.
Long
by sengleadevelopment
Bitcoin: Hasn't Reached Optimal Price.Bitcoin showing a higher low consolidation just above the 64K area support. Relative to the previous bullish structure, this signifies a higher likelihood that a higher high will follow, it's just a matter of catalyst. In the mean time, price can fluctuate either way from the current point (random). While the trend may be obvious in this situation, timing it effectively has everything to do with recognizing high probability price locations, setups etc. Otherwise you can make the mistake of assuming greater risk than you realize. In this article, I will describe the high probability, lower risk scenario that the market MAY OR MAY NOT present in the coming week. One thing I recognize is that price continues to flirt with a resistance zone which makes this a tricky play for swing trades (at the time of writing current candle is inside bar). The 67K to 70K area is still a resistance zone (blue rectangle) and a higher risk location for long swing trades. In such scenarios when location is high risk but buy signals appear (break of inside bar high for example), it is more effective to assume risk on smaller time frames like 4H or 1H, and attempting to participate for a smaller bite. The risk that you are minimizing in this situation is the possibility that the 65K minor support is tested again and/or broken (see arrow). The higher probability and lower risk scenario would be IF price can test the 64K support, followed by a reversal confirmation. The location is much more attractive since the potential profit is greater (3K+ points) coupled with much lower RISK (1 to 1.5 max) compared to 3K+ points of risk at the moment relative to this time frame. The illustration on the chart summarizes the ideal scenario that IF the market shows, would be a high probability swing trade long opportunity (which requires entry confirmation). These scenarios that I present are dependent on the price action confirmation otherwise risk cannot be justified. Even having a confirmation process (like the Trade Scanner Pro) does NOT guarantee the trade idea will produce a positive outcome. After all, markets are HIGHLY random and outcomes are often the result of unexpected information being priced in. This is why technical analysis cannot be relied upon over longer time horizons, but can be helpful for quantifying risk. Managing a position effectively no matter the time frame has everything to do with having properly aligned market expectations. First you uncover an idea, LET the market confirm the idea, from there it goes the right way or the wrong way. Your expectations will then shape how you manage the position as it fluctuates. The key to effective management is having an open enough mind to let the market pay you more when IT wants to, while being decisive enough to get out the moment you recognize what "wrong" looks like (or using other risk control methods like a stop). All of this information can be acquired from price charts or tools developed to simplify this process. Without any "process" you are most susceptible to relying on intuition and "hope" which will result in the typical retail trader experience: win sometimes but the account never grows for some reason. Thank you for considering my analysis and perspective.
COINBASE:BTCUSD
by MarcPMarkets
9
BTC/USD Golden Cross OverviewThis chart shows a potential "golden cross" pattern, which occurs when a short-term moving average (typically the 50-day) crosses above a long-term moving average (like the 200-day). In this chart, Bitcoin's price is hovering near $68,102, while the red and green lines (likely representing the 50-day- and 200-day moving averages) converge. The current consolidation within the channel suggests that Bitcoin could be gearing up for a bullish breakout. If the price successfully breaks out of the upper channel resistance, it might accelerate toward the next key level near $72,000. Around $48,803 and the lower channel boundary Near $72,000, aligned with the upper trendline If the golden cross confirms and holds, this may signal strong upward momentum for BTCUSD into the following months. Disclaimer: This analysis is for informational purposes and is not financial advice. Always stay updated with market movements and adjust your trading strategies as needed. You can DM us for information on any other coin. @Peter_CSAdmin
COINBASE:BTCUSDLong
by CryptoSanders9563
2
BTC/USD H4 Update BTC is finding support on the .382 level of the most recent impulse on the H4 timeframe. The price action is also finding support on the H4 100 simple moving average. RSI is 44 at time of publishing. Price is also near a local rising support. I think anything at or above the .382 retracement level is a good buy for the weeks to come. We might have a few days of sideways as the bull flag forms. Not financial advice. Do your own DD. Thanks for viewing the idea.
BITSTAMP:BTCUSDLong
by BallsOfSteel32
Will the US Elections Cause Bitcoin's Price to Fluctuate? Bitcoin, the world's largest cryptocurrency, has experienced a recent price dip amidst rising geopolitical tensions and investor uncertainty. The cryptocurrency market is bracing for potential volatility as the United States gears up for its upcoming presidential elections. Recent Price Dip and Market Sentiment The recent decline in Bitcoin's price can be attributed to several factors. Firstly, the ongoing geopolitical tensions, particularly between the US and China, have created uncertainty in global markets. Secondly, concerns about a potential global economic slowdown have also contributed to the bearish sentiment. However, despite the recent price dip, many analysts remain bullish on Bitcoin's long-term prospects. They believe that the cryptocurrency's underlying technology, blockchain, has the potential to revolutionize various industries. Moreover, Bitcoin's limited supply and decentralized nature make it an attractive investment for those seeking to hedge against inflation and economic instability. US Elections and Market Impact The upcoming US presidential elections are expected to significantly impact the cryptocurrency market. A change in administration could lead to shifts in regulatory policies, which could, in turn, affect the price of Bitcoin and other cryptocurrencies. Historically, the cryptocurrency market has exhibited heightened volatility during election years. Investors are advised to closely monitor political developments and their potential impact on the market. Diversification Strategy for Navigating Market Uncertainty To mitigate the risks associated with market volatility, analysts suggest diversifying investments across various asset classes. This includes Bitcoin, gold, commodities, and tech stocks. • Bitcoin: As a decentralized and digital asset, Bitcoin offers potential for long-term growth and diversification benefits. • Gold: Traditionally considered a safe-haven asset, gold can provide stability during times of economic uncertainty. • Commodities: Investing in commodities like oil, natural gas, and agricultural products can help hedge against inflation and economic fluctuations. • Tech Stocks: The technology sector has been a major driver of market growth in recent years. Investing in tech stocks can provide exposure to innovative companies and potential high returns. By diversifying their portfolios, investors can reduce their exposure to specific risks and increase their chances of achieving long-term financial goals. Technical Analysis: Short-Term Outlook From a technical analysis perspective, Bitcoin's recent price action suggests a potential period of consolidation. The cryptocurrency is currently trading below key resistance levels, and a break above these levels could signal a bullish trend. However, if Bitcoin fails to break above these resistance levels, it may experience further downside. Conclusion While the recent price dip and upcoming US elections have created uncertainty in the cryptocurrency market, Bitcoin's long-term potential remains strong. By adopting a diversified investment strategy and staying informed about market developments, investors can navigate the volatile market and capitalize on potential opportunities. Disclaimer: This article is for informational purposes only and should not be construed as financial advice. Please consult with a qualified financial advisor before making any investment decisions.
BITSTAMP:BTCUSD
by bryandowningqln
SOL ANALYSIS🔮 #SOL Analysis 💰💰 🌟🚀 There is a complete formation of Cup and Handle Pattern in #SOL in weekly timeframe. We are just waiting for a perfect breakout. If #SOL breakout with good volume then we will see a very good bullish move.🚀🚀 🔖 Current Price: $168 ⏳ Target Price:    $250 ⁉️ What to do? - We have marked some crucial levels in the chart. We can trade according to the chart and make some profits in #SOL. 🚀💸 #SOL  #Cryptocurrency #DYOR
Long
by ZEUS_Market_Alerts
AI Algo Trading Intro/OverviewAI ALGO TRADING INTRO/OVERVIEW 🔹AI algorithmic trading, often referred to as AI algo trading, is a sophisticated approach to financial trading that uses artificial intelligence (AI) algorithms to make trading decisions. It combines finance, statistics, and computer science to analyze vast amounts of data and execute trades in real-time, often at speeds impossible for human traders. Here's a closer look at how it works, its benefits, and the key components: 1. How AI Algo Trading Works AI algo trading employs machine learning, deep learning, and other advanced data analysis techniques to create models that can predict stock prices or detect trading patterns. These AI models are designed to identify patterns or anomalies in historical and real-time data, which helps them make predictions about price movements. The algorithms can process huge datasets from multiple sources, including stock prices, news, sentiment data from social media, and even macroeconomic indicators. Typical steps involved in AI algo trading include: 🔹Data Collection: Gathering historical price data, technical indicators, financial reports, and alternative data (e.g., news, social media sentiment). Model Training: Training machine learning models on historical data to predict asset price movements or specific trading signals. 🔹Backtesting: Testing the model on historical data to see how it would have performed in the past, adjusting for any biases or errors. 🔹Execution: Implementing the model in live markets to execute trades automatically when certain conditions are met. 2. Key Components of AI Algo Trading Several key components work together in AI-driven trading systems, including: 🔹Data Management: Collecting, cleaning, and storing large volumes of financial and alternative data. 🔹Feature Engineering: Selecting or creating specific data features that improve the model's accuracy, such as moving averages, volatility measures, or sentiment scores. 🔹Machine Learning Models: Models like neural networks, decision trees, or support vector machines (SVMs) are common in AI trading. More advanced models use deep learning and reinforcement learning. 🔹Risk Management: Ensuring trades meet certain risk parameters to prevent excessive losses. Many AI algorithms have built-in risk management measures, like stop-loss limits or position size restrictions. 🔹Execution Algorithms: After generating trade signals, execution algorithms place trades in the market. These can include smart order routing and algorithms for optimizing trade timing. 3. Advantages of AI Algo Trading 🔹Speed and Efficiency: AI algorithms can execute trades within milliseconds, reacting instantly to market movements. 🔹Data-Driven Decisions: AI algo trading relies on empirical data rather than emotions, leading to potentially more consistent decision-making. 🔹Pattern Recognition: Advanced AI models can identify complex patterns in large datasets, uncovering trading opportunities that may be invisible to human traders. 🔹24/7 Operation: AI systems can monitor markets continuously, which is especially valuable in global markets that operate around the clock. 🔹Customization: AI-driven strategies can be tailored to specific asset classes, trading goals, and risk tolerances. 4. Popular AI Techniques in Trading AI algo trading employs several popular techniques: 🔹Supervised Learning: This includes models like regression, classification, and neural networks, often used to predict price changes or determine trading signals. 🔹Unsupervised Learning: Clustering and anomaly detection models help identify unusual trading patterns or group similar assets. 🔹Reinforcement Learning: This is where AI learns to optimize strategies through trial and error, which can be particularly useful for adaptive, evolving trading strategies. 🔹Sentiment Analysis: AI can analyze text data (e.g., news articles, tweets) to gauge market sentiment, adding a qualitative dimension to trading models. 5. Risks and Challenges While AI algo trading offers numerous advantages, it also comes with certain risks: 🔹Model Overfitting: Overfitting to historical data can result in poor performance in live markets if the model is too specific to past conditions. Market Volatility: AI algorithms may struggle to adapt to sudden market changes, like unexpected geopolitical events or economic crises. 🔹Technical Failures: Infrastructure and connectivity issues can disrupt AI trading systems, leading to missed opportunities or unwanted positions. 🔹Regulatory Concerns: Regulatory bodies often scrutinize algorithmic trading for issues like market manipulation, requiring firms to ensure their algorithms are compliant. 6. Future of AI Algo Trading 🔹The future of AI algo trading looks promising, with ongoing advancements in AI and access to even more diverse data sources. Innovations in quantum computing, natural language processing (NLP) for deeper sentiment analysis, and reinforcement learning for adaptive strategies are likely to further enhance AI-driven trading. 🔹As AI trading models continue to evolve, they may also become more accessible to individual investors and retail traders, allowing a broader range of market participants to benefit from data-driven trading strategies. However, regulatory agencies may also implement stricter controls to manage the risks associated with autonomous AI trading.
Education
by ProjectSyndicate
15