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频道帖子
| 2 |  Expanding Triangle Pattern
An expanding triangle pattern is a technical chart pattern often seen in financial markets. It's a type of triangle formation that occurs when both the upper and lower trendlines of the triangle are slanting away from each other. In other words, the price range between the highs and lows of the pattern expands over time.
This pattern indicates a period of increased volatility and indecision in the market. Traders and analysts interpret the expanding triangle as a potential sign of uncertainty, as the price is making higher highs and lower lows within a widening range. This suggests that both buyers and sellers are becoming more aggressive but are still not able to establish a clear trend direction.
Expanding triangles can be found in both bullish and bearish contexts, and they are often considered continuation patterns, meaning that they are likely to continue the prevailing trend before the pattern formed. However, since the pattern signals increased volatility and uncertainty, traders often approach it with caution and may wait for a clear breakout above or below the trendlines to confirm the direction of the next move.
In summary, an expanding triangle pattern is characterized by its widening price range between ascending and descending trendlines, indicating growing volatility and uncertainty in the market. | 959 |
| 3 | Swing trading and day trading are both popular trading styles, but they differ in terms of time horizon, trading frequency, and the duration of trades. Here are the key differences between swing trading and day trading:
1. Time Horizon:
- Swing Trading: Swing traders hold positions for several days to a few weeks. They aim to capture price swings or short-to-medium-term trends within the broader market trend.
- Day Trading: Day traders open and close positions within the same trading day, avoiding overnight exposure. They do not hold positions overnight and close all trades before the market closes.
2. Trading Frequency:
- Swing Trading: Swing traders make fewer trades compared to day traders. They focus on high-probability setups and wait for the right market conditions to enter and exit positions.
- Day Trading: Day traders execute multiple trades throughout the trading session, often entering and exiting positions within minutes or hours. They take advantage of short-term price movements and high liquidity in the market.
3. Trade Duration:
- Swing Trading: Swing trades typically last from a few days to a few weeks. Swing traders aim to capture a larger portion of a price move, so they need to be patient and wait for the trade to develop.
- Day Trading: Day trades are short-lived, lasting only a few minutes to hours. Day traders capitalize on intraday price fluctuations and close positions before the market closes.
4. Risk Management:
- Swing Trading: Swing traders typically use wider stop-loss orders as their trades have a longer time horizon. They aim to withstand short-term price fluctuations while maintaining a favorable risk-reward ratio.
- Day Trading: Day traders use tighter stop-loss orders to limit potential losses in a shorter time frame. Due to the fast-paced nature of day trading, risk management is crucial to avoid significant losses.
5. Market Analysis:
- Swing Trading: Swing traders often rely on technical analysis to identify trends, chart patterns, and key support/resistance levels. They also consider fundamental factors that may influence the market over the medium term.
- Day Trading: Day traders primarily use technical analysis and focus on intraday price charts, such as one-minute or five-minute intervals. They look for short-term patterns and momentum indicators to make quick trading decisions.
6. Lifestyle and Time Commitment:
- Swing Trading: Swing trading requires less time commitment than day trading. It allows traders to have a more flexible schedule as they are not constantly monitoring the markets throughout the day.
- Day Trading: Day trading demands intense focus and constant monitoring of price movements during the trading session. Traders need to be available and attentive throughout the trading day.
Both swing trading and day trading have their advantages and challenges, and the choice of trading style depends on a trader's personality, risk tolerance, time availability, and trading goals. Some traders may prefer the excitement and quick profits of day trading, while others may opt for the patience and potentially larger gains of swing trading. | 896 |
| 4 | Day Trading vs Swing Trading 📊 | 732 |
| 5 | Risk management is a fundamental aspect of trading and investing that aims to preserve capital, limit potential losses, and protect against adverse market movements. It is an essential discipline for traders of all experience levels and is crucial for achieving consistent profitability and long-term success. Effective risk management techniques help traders withstand market volatility and maintain a sustainable trading approach. Here are some key elements of risk management:
1. Position Sizing:
Position sizing refers to determining the appropriate amount of capital to risk on each trade. It is essential to avoid overexposure to a single trade, as significant losses in one position can severely impact overall trading capital. One popular approach is to risk a fixed percentage of the trading capital per trade, such as 1-2% per trade. This method ensures that losses are manageable and allows traders to participate in multiple trades without risking too much of their capital.
2. Stop-Loss Orders:
A stop-loss order is a risk management tool used to limit potential losses on a trade. It is a predetermined price level at which a position will be automatically closed to prevent further losses if the market moves against the trader's position. Placing a stop-loss order at a logical support or resistance level or based on technical analysis can help determine an appropriate exit point if the trade goes in the wrong direction. A well-placed stop-loss order helps protect trading capital and prevent emotionally-driven decisions.
3. Take-Profit Targets:
Just as stop-loss orders protect against potential losses, take-profit targets ensure that profits are secured at a predetermined level. Setting a realistic take-profit level allows traders to lock in profits when the trade reaches a favorable price point. This prevents traders from holding positions for too long, hoping for further gains, and potentially missing the opportunity to exit profitably.
4. Diversification:
Diversification involves spreading investments across different assets, markets, or trading strategies. It reduces the overall risk exposure to any single trade or asset. Diversifying the trading portfolio helps mitigate the impact of losses from individual positions and enhances the potential for consistent returns, especially in times of increased market volatility.
5. Risk-Reward Ratio:
The risk-reward ratio assesses the potential reward of a trade relative to the risk taken. For example, a risk-reward ratio of 1:2 means that for every dollar risked (1), the trader expects to make two dollars in profit (2). A favorable risk-reward ratio ensures that the potential profit is higher than the potential loss, making the trade more attractive from a risk management perspective.
6. Adaptation and Review:
Risk management is not a static process but requires continuous adaptation and review. As market conditions change, traders must reassess their risk management strategies and adjust their position sizes and risk parameters accordingly. Regularly reviewing past trades, analyzing their risk-reward ratios, and identifying areas for improvement are essential for refining risk management practices.
Conclusion:
Effective risk management is an integral part of successful trading. By implementing position sizing, stop-loss orders, take-profit targets, diversification, and favorable risk-reward ratios, traders can protect their capital and maintain discipline in the face of market uncertainties. Consistent application of risk management principles, coupled with sound trading strategies, can lead to long-term profitability and sustainable success in the financial markets. Remember, managing risk is not just about avoiding losses; it is about preserving the capital needed to seize profitable opportunities. | 1 047 |
| 6 | Risk Management | 902 |
| 7 | If you aim to have a long and successful trading journey, consider the following steps:
1. Education: Continuously educate yourself about the markets, trading strategies, and financial instruments. Stay updated on market trends and news.
2. Risk Management: Prioritize risk management by only risking a small portion of your capital on each trade. Set stop-loss orders to limit potential losses.
3. Patience: Avoid chasing quick gains and focus on consistent, sustainable profits. Patience helps you avoid impulsive decisions.
4. Plan: Develop a clear trading plan with entry and exit criteria. Stick to your plan and avoid making emotional decisions.
5. Discipline: Emotions can cloud judgment. Stick to your strategy even during periods of volatility or excitement.
6. Diversification: Don't put all your capital into a single trade or asset. Diversification helps manage risk.
7. Continuous Learning: The market evolves. Stay updated with new strategies and adapt to changing conditions.
8. Keep Records: Maintain a trading journal to track your trades, decisions, and outcomes. This helps identify patterns and improve your strategy.
9. Mindset: Maintain a realistic and positive mindset. Accept that losses are part of trading and focus on long-term goals.
10. Control Greed and Fear: Greed and fear can lead to poor decisions. Stick to your strategy and don't let emotions take over.
11. Stay Informed: Understand geopolitical events, economic data releases, and other factors that can impact the markets.
12. Continuous Improvement: Regularly review your trading performance, learn from mistakes, and refine your strategy.
13. Network: Connect with other traders to exchange ideas and insights. Learning from others' experiences can be valuable.
14. Adaptability: Be prepared to adjust your strategy as market conditions change.
15. Realistic Expectations: Understand that trading is not a get-rich-quick scheme. Realistic expectations help you avoid disappointment. | 1 020 |
| 8 | Mastering Trading Psychology: The Key to Successful Trading
Trading in financial markets can be a highly rewarding endeavor, but it also comes with its share of challenges and uncertainties. While technical analysis, strategies, and market knowledge are crucial for success, one aspect that often determines the difference between profitable traders and those who struggle is trading psychology. The psychological aspect of trading plays a significant role in decision-making, risk management, and overall performance. In this article, we will delve into essential aspects of trading psychology and provide practical tips to master it effectively.
1. Emotions and Trading:
One of the biggest challenges traders face is managing emotions during trading. Emotions such as fear, greed, impatience, and overconfidence can cloud judgment and lead to impulsive decisions. Traders must learn to control their emotions and not let them dictate their actions. This can be achieved through self-awareness, discipline, and emotional detachment from the outcome of individual trades.
2. Develop a Trading Plan:
Having a well-defined trading plan is crucial to maintain emotional stability. A trading plan outlines your strategy, risk tolerance, entry and exit criteria, and position sizing. Following a trading plan helps reduce emotional decision-making and keeps you focused on your long-term goals, even during periods of market volatility.
3. Patience and Discipline:
Patience and discipline are two virtues that successful traders possess. Waiting for the right setups and not succumbing to FOMO (fear of missing out) is essential for consistent profitability. Discipline involves sticking to your trading plan and not deviating from it based on emotional impulses. By being patient and disciplined, traders can avoid unnecessary losses and make rational decisions.
4. Learn from Mistakes:
Trading inherently involves risks, and losses are inevitable. Instead of viewing losses as failures, successful traders see them as learning opportunities. Analyzing and understanding the reasons behind losses can help traders improve their strategies and avoid making the same mistakes in the future.
5. Stay Grounded during Winning Streaks:
While losses can be emotionally draining, winning streaks can also lead to overconfidence. It's important to remain level-headed during periods of success and not deviate from your trading plan due to a series of profitable trades. Remember that markets are dynamic, and past performance does not guarantee future results.
6. Avoid Revenge Trading:
Experiencing a significant loss can trigger the desire to recoup the losses quickly. This emotional response, known as revenge trading, can lead to further losses and a cycle of negative emotions. Successful traders know when to step back and avoid trading until they are emotionally ready and have a clear mindset.
7. Practice Mindfulness:
Mindfulness techniques can help traders stay focused, remain in the present moment, and avoid making impulsive decisions. Techniques such as meditation and deep breathing exercises can help reduce stress and anxiety, enhancing overall trading performance.
Conclusion:
Mastering trading psychology is a continuous journey that requires self-awareness, discipline, and a commitment to continuous improvement. Emotions are an inherent part of trading, but learning to manage them effectively is vital for consistent success. By developing a well-defined trading plan, practicing patience, and staying disciplined, traders can navigate the emotional challenges of the market and make rational, informed decisions. Remember that trading psychology is just as important as technical analysis and risk management, and it can significantly impact your overall trading results. | 1 024 |
| 9 | Mastering the Trading Psychology | 918 |
| 10 | Impulsive & Corrective Waves 📉 | 1 122 |
| 11 | ELLIOTT WAVE THEORY
Elliott Wave Theory is a popular technical analysis approach that attempts to predict future price movements in financial markets by identifying repetitive wave patterns. Developed by Ralph Nelson Elliott in the 1930s, the theory is based on the idea that market prices follow a natural rhythm and unfold in recognizable patterns, reflecting the collective psychology of traders and investors.
Key Principles of Elliott Wave Theory:
- Wave Structure:
According to Elliott Wave Theory, market price movements are composed of a series of waves that form distinct patterns. There are two main types of waves: impulse waves and corrective waves.
Impulse Waves: Impulse waves move in the direction of the primary trend and consist of five sub-waves labeled as 1, 2, 3, 4, and 5. Waves 1, 3, and 5 are in the direction of the trend and represent price advances, while waves 2 and 4 are corrective waves that retrace part of the price movement.
+ Corrective Waves:
Corrective waves move against the primary trend and consist of three sub-waves labeled as A, B, and C. Corrective waves aim to counteract the preceding impulse waves.
+ Fibonacci Ratios:
Elliott Wave Theory often incorporates Fibonacci ratios, which are mathematical proportions derived from the Fibonacci sequence (0, 1, 1, 2, 3, 5, 8, 13, 21, etc.). These ratios (e.g., 0.618, 1.618, 2.618) are believed to represent significant points of potential support and resistance in the price movement.
- Wave Degrees:
Elliott Wave Theory classifies waves into different degrees based on the time frame they represent. The main degrees are Grand Supercycle, Supercycle, Cycle, Primary, Intermediate, Minor, and Minute waves, with each degree having its own distinct patterns.
- Rules and Guidelines:
Elliott Wave Theory comes with specific rules and guidelines for wave identification. For example, Wave 2 cannot retrace more than 100% of Wave 1, and Wave 4 cannot overlap with Wave 1.
- Application of Elliott Wave Theory:
Traders and analysts use Elliott Wave Theory to forecast potential price movements and identify trading opportunities. By recognizing wave patterns and applying Fibonacci ratios, traders attempt to predict where a market is likely to reverse or continue its trend. Additionally, traders may use Elliott Wave counts to determine potential price targets and establish risk-reward ratios for their trades.
It's essential to note that Elliott Wave analysis can be subjective, and different analysts may interpret wave patterns differently. Moreover, it requires a deep understanding and experience to apply the theory effectively. As with any trading approach, risk management and confirmation from other technical indicators are crucial to validate Elliott Wave analysis and make informed trading decisions. | 1 109 |
| 12 | Elliott Wave Theory 📈 | 1 041 |
| 13 | Elon was an initial investor in OpenAI (the creator of ChatGPT) and served on its board. However, he eventually parted ways with the company in 2018 to avoid a conflict of interest.
Now, Elon has launched his own A.I. company called "X. AI" with a vision to understand the "true nature of the universe."
‘X’ has a special place in Elon’s heart. It was the name of his first startup (later named PayPal), the name of his child, and the corporate name of Twitter.
MUSK’S WAR ON WOKE A.I:
Elon Musk has been critical of ChatGPT and other AGIs becoming "woke" and exhibiting biases on certain topics: “The danger of training AI to be woke - in other words, lie - is deadly.”
The objective of X .AI is to essentially become "TruthGPT," an AGI language model that speaks based on facts and avoids political biases.
In his Fox interview, Musk states that while ChatGPT and Bard are focused on being politically correct, he will build a "truth-seeking AI."
Musk's concern with woke A.I goes deeper than culture. He highlights the risks of A.I ending humanity: “A path to A.I dystopia is to train A.I to be deceptive. A.I is more dangerous than, say, mismanaged aircraft design or production maintenance or bad car production... [It] has the potential for civilization destruction.”
X .AI, TWITTER & TESLA:
Elon has hired engineers with experience at top tech companies, including OpenAI, Google Research, Microsoft Research, etc., to build the best possible product. He has taken Dan Hendrycks on board, a researcher who currently leads the Center for AI Safety, a nonprofit that aims to “reduce societal-scale risks associated with AI.”
Commentators on A.I claim that X .AI will most probably be trained on tweets from Twitter and data from Tesla. Remember that back in December, Musk learned that ChatGPT was using Twitter's database and he "put it on pause." Twitter's data is X .AI's moat.
Tesla collects a vast amount of data about how their vehicles are driven, how they are used, and how they are maintained. This data would allow X .AI to learn how to interact with people in a way that is similar to how Tesla cars interact with their drivers.
X .AI can be used to improve A.I systems in Tesla, Twitter, and possibly even SpaceX. This would also mean that Twitter's algorithm and its ability to combat bots will improve significantly.
X .AI AND NEURALINK:
Neuralink is another Musk-founded company that is trying to build a direct computer-to-brain interface via an implantable small device.
It is quite possible that such an interface could then be enhanced or augmented by X .AI's processing power and intelligence. This is exciting and frightening since it could open up new boundaries, such as direct translation of different languages or maybe a hackable human? Who knows what the future could look like, but I’d be first to sign up!
MY THOUGHTS:
It’s no secret that A.I worries me, but at the same time I’m at the forefront of this technological revolution, hosting large A.I. spaces and incubating various start-ups in the industry.
Elon’s focus on an ‘unbiased’ A.I is in-line with his values at Twitter, and goes against the current status-quo among big tech.
Even yesterday we saw the dark side of censorship with the findings on the collusion between the FBI and Ukrainian intelligence with social media platforms.
If AGI surpasses human intelligence, allowing it the ability to censor or have bias, it could lead to detrimental results.
Strategically, Elon has an advantage with Twitter, Tesla and Neuralink. However his competition is fierce, and maintaining his moat by focusing on ‘unbiased truth’ makes X .AI a very exciting player in humanity’s biggest innovation in decades. | 1 123 |
| 14 | X .AI IS HERE! | Elon's Fight Against 'Woke A.I' | 894 |
| 15 | A cryptocurrency exchange-traded fund (ETF) is a financial product that allows investors to gain exposure to cryptocurrencies without directly owning the underlying digital assets. An ETF is a type of investment fund that is traded on stock exchanges, similar to a stock. It aims to track the performance of a specific cryptocurrency or a basket of cryptocurrencies.
Unlike traditional cryptocurrency investments where you need to buy and hold individual coins, a crypto ETF provides a convenient way to invest in the cryptocurrency market as a whole. The ETF holds a diversified portfolio of cryptocurrencies, and its value is typically derived from the combined performance of the underlying digital assets it represents.
Investing in a crypto ETF offers several potential advantages. Firstly, it provides a regulated and secure way to invest in cryptocurrencies, as the ETF is managed by a regulated entity. This may appeal to investors who are hesitant to directly engage in the complexities of cryptocurrency exchanges or who prefer the oversight and protection provided by traditional financial markets.
Secondly, a crypto ETF can offer liquidity and ease of trading. Investors can buy or sell shares of the ETF on a stock exchange at market prices, similar to trading stocks. This provides flexibility and convenience compared to the process of buying and storing individual cryptocurrencies.
Furthermore, a crypto ETF may appeal to investors seeking diversification. Instead of choosing and managing individual cryptocurrencies, the ETF holds a diversified portfolio, spreading the investment risk across multiple digital assets. This diversification can help mitigate the impact of volatility associated with specific cryptocurrencies.
It's important to note that the availability and regulatory framework for crypto ETFs vary across countries. Some jurisdictions have approved and launched crypto ETFs, while others are still in the process of evaluating or have not yet allowed such products. Investors should research and understand the specific regulations and requirements in their respective jurisdictions before considering investing in a crypto ETF.
Overall, a crypto ETF provides a regulated, convenient, and diversified approach for investors to gain exposure to the cryptocurrency market without directly owning the underlying digital assets. | 999 |
| 16 | 没有文字... | 747 |
| 17 | Web2 vs. Web3
Web2 and Web3 refer to different stages or iterations of the internet and the underlying technologies that power it. Let's explore the key characteristics and differences between Web2 and Web3:
Web2 (Web 2.0):
Web2, also known as the second generation of the internet, represents the current state of the internet that emerged in the late 1990s and early 2000s. It is characterized by the following features:
- Centralized Architecture: Web2 relies on centralized servers and infrastructure owned by large corporations or organizations. These entities control the platforms, applications, and data, leading to a concentration of power and control.
- User-Generated Content: Web2 introduced platforms that allowed users to create and share content, leading to the rise of social media, blogging, and video-sharing platforms. Users can interact and collaborate on these platforms but do not have full ownership and control over their data.
- Client-Server Model: Web2 operates on a client-server model where clients (web browsers or applications) request and receive data from centralized servers. The servers store and process data, and the clients display the information to the users.
- Lack of Interoperability: Web2 platforms often operate in isolation, with limited interoperability and data portability between different applications. This restricts the seamless flow and sharing of information across platforms.
Web3 (Web 3.0):
Web3 refers to the vision and development of the next generation of the internet, aiming to address the limitations of Web2. It is centered around the following principles:
- Decentralization: Web3 emphasizes decentralization, shifting away from the concentration of power in the hands of a few entities. It leverages blockchain technology and decentralized protocols to enable peer-to-peer interactions, removing the need for intermediaries and promoting trust and transparency.
- User Control and Data Ownership: Web3 empowers users by giving them ownership and control over their data. Users can decide how their data is shared and accessed, and they can potentially monetize their own data through decentralized platforms.
- Interoperability: Web3 aims to establish interoperability between different platforms and applications. It envisions a connected ecosystem where data and services can seamlessly interact and be shared across various decentralized applications (DApps).
- Smart Contracts and Programmability: Web3 leverages smart contracts, self-executing contracts with predefined rules, to automate transactions and enforce agreements on the blockchain. Smart contracts enable programmability, allowing developers to create decentralized applications with built-in logic and functionality.
- Cryptocurrency and Token Economy: Web3 incorporates cryptocurrencies and token economies, where digital tokens are used for various purposes such as incentivizing participation, governance, and value exchange within the decentralized ecosystem.
- Privacy and Security: Web3 places a strong emphasis on privacy and security, leveraging cryptographic techniques to protect user data and transactions. Users have more control over their identities and can interact with the internet pseudonymously or with privacy-focused measures.
Web3 is an evolving concept, and various projects and protocols are actively working towards its realization. It aims to transform the internet into a more open, decentralized, and user-centric ecosystem, enabling greater privacy, control, and opportunities for individuals and communities. | 867 |
| 18 | Public and Private Keys
Public and private keys are cryptographic keys that are used in asymmetric encryption systems, such as those employed in many cryptocurrencies and secure communication protocols. They play a crucial role in ensuring the security and privacy of digital transactions and communications.
Public Key:
A public key is a unique identifier or address that is openly shared with others. It is derived from a mathematical algorithm and is used to encrypt data or verify digital signatures. In the context of cryptocurrencies, a public key is associated with a wallet address. It allows others to send encrypted messages or transactions to the corresponding wallet.
Private Key:
A private key is a secret, randomly generated string of characters. It is paired with the public key and is kept confidential by the owner. The private key is used to decrypt data encrypted with the public key and to generate digital signatures. In the context of cryptocurrencies, the private key is used to access and control the associated wallet and authorize transactions.
The relationship between public and private keys is mathematically linked in a way that ensures data encrypted with the public key can only be decrypted with the corresponding private key. This property forms the basis of secure communication and transaction verification.
Here's a simplified example of how public and private keys work in the context of cryptocurrencies:
Public Key Generation: A user generates a pair of public and private keys using a cryptographic algorithm. The public key is derived from the private key using a one-way mathematical function.
Public Key Sharing: The user shares their public key with others, either by publishing it on a public platform or by directly providing it to specific individuals.
Encryption: When someone wants to send an encrypted message or initiate a transaction to the user, they encrypt the data using the recipient's public key. Only the corresponding private key can decrypt and read the message.
Digital Signatures: The user can digitally sign messages or transactions using their private key. This signature is generated by applying a cryptographic algorithm to the data being signed. Others can verify the authenticity and integrity of the data by using the user's public key to decrypt and verify the signature.
Private Key Security: The private key must be kept secure and confidential. If someone gains unauthorized access to the private key, they can potentially access and control the associated wallet and funds.
In summary, public keys are used for encryption and verifying digital signatures, while private keys are used for decryption and generating digital signatures. The public key is shared openly, while the private key must be kept secret. This cryptographic pair ensures secure communication, data integrity, and the ability to authenticate transactions in various cryptographic systems, including cryptocurrencies. | 830 |
| 19 | Block Reward Halving
Block Reward Halving is an event that occurs in certain cryptocurrency networks, most notably in Bitcoin. It is a programmed mechanism designed to reduce the rate at which new coins are created and introduced into circulation.
In the context of Bitcoin, the block reward halving takes place approximately every four years, or after every 210,000 blocks mined. When the halving event occurs, the reward that miners receive for successfully mining a new block is cut in half. This means that the number of new Bitcoins generated with each block decreases by half.
Initially, when Bitcoin was launched in 2009, the block reward was set at 50 Bitcoins per block. The first halving event occurred in 2012, reducing the block reward to 25 Bitcoins. The second halving occurred in 2016, reducing the block reward to 12.5 Bitcoins. The most recent halving took place in May 2020, reducing the block reward to 6.25 Bitcoins. This process will continue until the maximum supply of 21 million Bitcoins is reached.
The purpose of halving is to control the inflation rate of the cryptocurrency and ensure its scarcity over time. By reducing the rate at which new coins are created, halvings contribute to a slower and decreasing supply of newly minted coins. This is in contrast to fiat currencies where central banks have the authority to create new money, potentially leading to inflation.
Halving events often generate anticipation and speculation within the cryptocurrency community as they are expected to have an impact on the supply and demand dynamics of the cryptocurrency. Some proponents believe that halvings contribute to a long-term increase in the value of the cryptocurrency due to the reduced supply. However, it's important to note that the impact of halving events on the price and market dynamics of a cryptocurrency is influenced by various factors and is subject to market speculation and sentiment. | 1 017 |
| 20 | What is Block Reward Halving? | 865 |
