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Institutional investors are flocking to Bitcoin, and it's not hard to see why. The launch of spot Bitcoin ETFs has made it easier for hedge funds and financial advisors to trade Bitcoins on exchanges, attracting traditional market players. This influx of institutional investment is expected to continue, with more hedge funds and financial advisors likely to invest in Bitcoins ¹. But what's really interesting is the whale accumulation trend. According to IntoTheBlock, whale investors have been accumulating Bitcoins since the start of 2024, and they remain confident in Bitcoin's long-term potential despite pullbacks and a bearish phase. This upward trend is expected to continue in the upcoming quarter, which could have a significant impact on Bitcoin's price. The key metrics are clear: whale accumulation is trending upward, institutional investment is increasing, and Bitcoin's price potential is expected to see long-term growth. With the Bitcoin halving event in 2024 reducing the reward for miners and decreasing the supply of new Bitcoins, the stage is set for a potential price surge ². As institutional investors continue to pour in, Bitcoin's legitimacy and infrastructure are likely to improve, making it an even more attractive investment opportunity. The fact that 65% of institutional investors plan to buy or invest in digital assets in the future, with Bitcoin being a prominent asset, is a testament to its growing appeal ².

Evaluating $REX's correlation with major cryptocurrencies like Bitcoin (BTC) and Ethereum (ETH) is essential for understanding how $REX behaves in relation to the broader crypto market. A correlation analysis helps to assess whether $REX moves in tandem with major assets, moves independently, or reacts inversely to market trends. Here’s how you can evaluate $REX’s correlation with major cryptocurrencies: 1. Correlation Coefficient What it is: The correlation coefficient measures the degree to which two assets move in relation to each other. It ranges from -1 to +1: +1: Perfect positive correlation (both assets move in the same direction). -1: Perfect negative correlation (one asset moves up while the other moves down). 0: No correlation (the assets move independently). How to apply it: By calculating the correlation coefficient between $REX and major cryptocurrencies (like BTC and ETH), you can determine whether $REX is likely to follow the broader market trends or behave independently. A positive correlation means $REX tends to move in the same direction as BTC or ETH, while a negative correlation indicates it moves in the opposite direction. 2. Using Historical Price Data What it is: Analyzing the historical price movements of $REX alongside BTC and ETH can reveal patterns of correlation over time. How to apply it: Plot the price movements of $REX, BTC, and ETH over a specific period (e.g., 30 days, 90 days, or 1 year). Look for instances where $REX mirrors the price movements of BTC and ETH, especially during major market events such as bull runs or bear markets. Why it matters: If $REX consistently moves in sync with major cryptocurrencies, it suggests that it may be influenced by the same market forces, such as overall market sentiment or macroeconomic events. 3. Statistical Tools for Correlation Analysis What it is: Tools like Pearson’s correlation coefficient, Spearman’s rank correlation, or regression analysis can provide a more in-depth understanding of the relationship between $REX and major cryptocurrencies. How to apply it: Use platforms or trading tools that allow you to input historical price data for $REX and major cryptocurrencies to calculate the correlation coefficient. Many charting platforms like TradingView offer built-in tools to perform correlation analysis. Why it matters: A statistical analysis can give you a clearer picture of how tightly $REX is correlated with major cryptocurrencies, allowing for more informed trading decisions. 4. Market Events and Sentiment What it is: Major market events, such as regulatory news, technological upgrades (e.g., Ethereum’s network upgrades), or broader economic factors (e.g., inflation rates or stock market performance), can influence the correlation between $REX and major cryptocurrencies. How to apply it: Monitor market events and sentiment, and analyze how $REX responds in relation to BTC and ETH during these events. For example, if BTC rallies due to positive news, does $REX follow suit, or does it react differently? Why it matters: Understanding how $REX responds to market events relative to major cryptocurrencies helps you gauge its behavior in different market conditions. If $REX reacts similarly to BTC or ETH during major news events, it may indicate that the broader market sentiment influences $REX’s price. 5. Decoupling and Independent Movements What it is: Sometimes, smaller or newer tokens like $REX can decouple from the major cryptocurrencies, especially in times of significant news or unique developments specific to $REX. How to apply it: Look for instances where $REX moves independently of BTC and ETH. For example, if $REX experiences a sharp increase due to a new partnership or a product launch while BTC and ETH are in a downtrend, this could indicate that $REX has a low or negative correlation with the broader market at that moment. Why it matters: If $REX consistently decouples from BTC and ETH, it may suggest that its price is driven by factors other than general market sentiment, such as specific project developments or community-driven events. 6. Beta Coefficient Analysis What it is: The beta coefficient measures the volatility of an asset in relation to a market benchmark, such as BTC or ETH. A beta value greater than 1 indicates that $REX is more volatile than the benchmark, while a beta value less than 1 suggests it is less volatile. How to apply it: Perform a beta analysis by comparing the price movements of $REX to BTC or ETH over a given period. A higher beta suggests that $REX is more sensitive to price changes in BTC or ETH. Why it matters: If $REX has a high beta relative to BTC or ETH, it may experience larger price swings in response to market changes, making it a more volatile asset. This can be useful for traders looking to capitalize on higher risk/reward opportunities. 7. Correlation During Bull and Bear Markets What it is: The correlation between $REX and major cryptocurrencies may vary depending on the broader market conditions. During a bull market, smaller tokens may follow BTC’s upward momentum, while in a bear market, they may experience greater declines. How to apply it: Track how $REX behaves during periods of market rallies and corrections. Does it follow the same pattern as BTC and ETH, or does it diverge? Why it matters: Understanding how $REX behaves in different market conditions helps you predict its potential price action during similar future events. A strong positive correlation during bull markets could suggest that $REX is likely to benefit from market-wide optimism. 8. Influence of Market Liquidity What it is: Liquidity can affect how $REX moves in relation to major cryptocurrencies. If $REX has low liquidity compared to BTC and ETH, it may experience more significant price swings, even if the correlation with major assets is strong. How to apply it: Evaluate the liquidity of $REX in relation to major cryptocurrencies. If liquidity is low, it may be more susceptible to price manipulation or volatility, even if the correlation with BTC or ETH is high. Why it matters: Understanding liquidity dynamics can help you assess the reliability of correlation trends. High liquidity usually leads to more stable price movements, while low liquidity can result in erratic price action. Conclusion Evaluating $REX’s correlation with major cryptocurrencies like BTC and ETH helps you understand its behavior in the broader market context. By using statistical tools, analyzing market events, and monitoring liquidity, you can gain insights into how $REX might react to changes in market sentiment or major crypto trends. A strong positive correlation with BTC and ETH suggests that $REX is influenced by broader market movements, while a weak or negative correlation could indicate that $REX is driven by independent factors.

Setting effective stop-loss levels for $REX trades is crucial for managing risk and protecting your investment from significant losses. A stop-loss order is designed to automatically sell your position if the price of $REX moves against you by a predetermined amount, helping to limit potential losses. Here’s how to set stop-loss levels for $REX trades: 1. Determine Your Risk Tolerance What it is: Your risk tolerance refers to the amount of loss you're willing to accept on a trade before you exit the position. How to apply it: Typically, traders risk a small percentage of their total portfolio on each trade, often around 1-3%. For example, if you have a $10,000 portfolio and are willing to risk 2%, you would set your stop-loss level to limit your loss to $200 on a $REX trade. Why it matters: Setting a stop-loss based on your risk tolerance helps you manage overall portfolio risk and avoid emotional decision-making during price fluctuations. 2. Support and Resistance Levels What it is: Support levels are price points where $REX has historically found buying interest, and resistance levels are points where selling pressure has emerged. How to apply it: Place your stop-loss just below a key support level if you're long on $REX, or just above a resistance level if you're short. This strategy allows for some price fluctuations while protecting you if the trend reverses. Why it matters: Using support and resistance levels helps ensure that your stop-loss is placed in a logical location, reducing the likelihood of being stopped out due to normal market noise. 3. Percentage-Based Stop-Loss What it is: This involves setting a stop-loss based on a fixed percentage below your entry price. How to apply it: For example, if you enter a $REX trade at $1.00 and set a 5% stop-loss, your stop-loss would be at $0.95. This approach is simple and effective for traders who prefer to set stop-loss levels based on a fixed risk percentage. Why it matters: This method is easy to calculate and implement, ensuring that you don’t risk more than a predetermined amount on any given trade. 4. Volatility-Based Stop-Loss (ATR) What it is: The Average True Range (ATR) is a volatility indicator that measures the average range of price movement over a specified period. You can use ATR to set a stop-loss based on the typical volatility of $REX. How to apply it: If $REX’s ATR is $0.10, you might set your stop-loss 1.5x the ATR away from your entry price. For example, if you enter at $1.00, your stop-loss would be set at $0.85 (for a long position). Why it matters: This method accounts for the natural volatility of $REX, allowing you to set a stop-loss that is wide enough to avoid being stopped out by regular price fluctuations while still protecting your position. 5. Trailing Stop-Loss What it is: A trailing stop-loss is a dynamic stop-loss that moves with the price as $REX increases in value, locking in profits as the price rises. How to apply it: For example, if you set a trailing stop-loss at 5%, and $REX rises from $1.00 to $1.20, your stop-loss would automatically move up to $1.14. If the price then drops by 5%, the stop-loss would trigger and sell your position at $1.14. Why it matters: This strategy allows you to lock in profits as $REX rises while still giving the trade room to move in your favor. It’s especially useful in trending markets. 6. Risk-to-Reward Ratio What it is: The risk-to-reward ratio is the ratio of potential loss (risk) to potential gain (reward) in a trade. A typical target for many traders is a 1:2 or 1:3 risk-to-reward ratio. How to apply it: For example, if you are targeting a $0.20 price increase on $REX and are willing to risk $0.10, you would set your stop-loss at $0.10 below your entry point. This ensures that your potential reward outweighs your risk. Why it matters: A good risk-to-reward ratio helps ensure that even if you have more losing trades than winning ones, your overall profitability remains positive. 7. Time-Based Stop-Loss What it is: This method involves setting a stop-loss based on time rather than price movement. For example, you may decide to exit the trade after a certain number of hours or days if $REX has not moved in your favor. How to apply it: You might set a stop-loss to trigger after 24 hours if $REX hasn’t moved in the direction you anticipated, signaling that the trade may not be working out. Why it matters: Time-based stop-losses help you avoid holding onto a position that isn’t moving as expected, preventing you from becoming too emotionally attached to a trade. 8. Psychological Price Levels What it is: These are price levels that are perceived as significant by traders due to psychological factors. Common psychological levels are round numbers, such as $1.00, $5.00, or $10.00. How to apply it: If $REX is trading near a psychological level like $1.00, you might set your stop-loss just below it. Many traders watch these levels, and a breach of them could trigger larger sell-offs or buying pressure. Why it matters: Psychological levels are often self-fulfilling prophecies because many traders set their stop-losses and take-profit orders around these levels. Conclusion Setting stop-loss levels for $REX trades is a crucial risk management tool. Whether you use a fixed percentage, support and resistance levels, volatility-based methods, or a trailing stop-loss, the key is to align your stop-loss strategy with your risk tolerance and market conditions. Always consider the market’s volatility, $REX’s price action, and your personal trading goals when setting stop-loss levels. This will help you protect your investments while allowing you to take advantage of potential price movements.

Why a BONE rally might not be realistic in the near term Despite a bullish signal, BONE’s price action might remain bearish, as suggested by market indicators. Bone ShibaSwap [BONE] witnessed a massive price correction in the last 24 hours, which can be attributed to the on-going market condition. While that happened, the token’s metric flagged a bullish signal. Does this mean a trend reversal for BONE?  According to CoinMarketCap , BONE was down by more than 10% in the last 24 hours. At press time, the meme coin was trading at $1.18 with a market capitalization of over $270 million. However, LUCIE, a popular X handle that posts updates related to the Shiba Inu ecosystem, revealed that BONE had a technical score of over 84. This meant that the chances of the meme coin gaining bullish momentum were high. Therefore, AMBCrypto checked BONE’s on-chain data to find out what to expect from the .

Hyperliquid Labs Addresses Rumors and Prioritizes Transparency Hyperliquid Labs has officially debunked rumors about alleged activity linked to DPRK-related addresses on their platform. The team confirmed that: 1. *No exploit or hack occurred*. 2. *No user funds have gone missing*. Security Measures Hyperliquid Labs prioritizes security, with robust operational security (opsec) measures in place. External parties have not flagged any vulnerabilities. User Funds Are Secure Hyperliquid Labs has verified that every user fund is secure and accounted for. They have conducted thorough checks to ensure no suspicious activity. Why Transparency Matters In the crypto space, trust is paramount. Hyperliquid Labs' prompt response to these rumors demonstrates their commitment to transparency. *Key Takeaways* 1. *Hyperliquid Labs is secure*: No exploits, hacks, or missing user funds. 2. *Transparency is key*: Hyperliquid Labs' prompt response to rumors maintains user trust. 3. *Security is paramount*: Hyperliquid Labs prioritizes opsec and user fund protection. Stay informed, stay secure, and keep your funds safe with platforms like Hyperliquid Labs. $HYPE