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      "title": "早期埋伏机会，山寨全面普涨？",
      "body": "大盘日线级别保持高位震荡的走势来消化超买的情况，呈现在小时级别，就会有短时快速下跌和上涨的走势，短时快速下跌也带动了山寨的下跌回踩。\n\n![image.png](https://cdn.steemitimages.com/DQmbeEWcg2b7qGvzcrNNK4J19SwqdA27tM5Tjsax833q3ff/image.png)\n\n大棒国政局动荡无法改变加密向上趋势，平台币暴涨！\n\n思密达总统昨晚宣布戒严，毫无疑问买单的还是加密用户，昨晚upbit上btc一度插针到60000多美金，简直无法想象，还好并没有影响其他交易所的大盘，但是如果是合约用户的话，昨晚这根针就爆的干干净净了。\n\n本轮牛市的依旧是漂亮国主导的加密友好。不同于 FTX 暴雷，加密行业自身没有出现危机。\n\nUpbit 昨晚插针让加密的资金和用户逃离大棒国，反而利好其他交易所。今天早上 BNB OKB BGB 都有不同的涨幅，BNB 更是暴涨 18%+。\n\n预测今日市场山寨币可能迎来普涨，值得关注\n\n比特币预计继续横盘整理，保持在95,000至98,000美金区间内运行。只要不跌破此区间，下跌风险有限，同时山寨币迎来良好表现的机会。\n\n当前，比特币短期无明显突破10万美金的动能，主要受以下因素制约：\n\n1- 大户与机构的分歧：大户借高位套现，机构则持续吸筹。\n\n2- 资金溢出效应：部分资金流向山寨币，推动山寨币行情启动。\n\n最近的山寨逻辑，漂亮国合规币正在被市场fomo，前有 xrp algo hbar ada ，后有 rsr ,这些创始人都刚跟川普团队有接触，所以市场非常认可。\n\n漂亮国合规币里目前 STX 还没起飞，可以关注吧，然后相关漂亮国币还有 avax apt sui link等，都可以关注。\n\n今天BNB 也起飞了，估计又有利好消息，今天没准就是打新项目的宣布，同时BNB的起飞会带动整个生态，比如meme先行的 why cheems（11月26号埋伏，涨幅40%+）等，已经飞了，后续可以关注BNB 生态的其他代币。",
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      "title": "牛市暴富效应持续增强？后续该如何布局",
      "body": "新的一个月开始，有几个点大家需要注意：\n\n1.ETH的汇率上涨倾斜的过于陡峭，出现横盘是比较好的，有利于继续冲高，支撑关注0.373，同时3730也是很强的压力位，支撑先看3570附近；\n2.山寨币已经随着以太的领涨已经出现日线，周线级别的反弹，市场小幅调整可能性变大；\n3.这个月5号有非农，11号有cpi，月底还有圣诞节，可能会对行情造成比较大的波动。\n\n**未来半年看好ETH和山寨，除了刻舟和BTC.D的见顶还有：**\n\n贝莱德ETH-ETF购买量首次超过BTC，并已连续多次大额建仓两次降息后美联储缩表变为扩表，紧缩变为宽松只是时间问题，资金将追逐更高风险回报的资产,ETH系生态和热点山寨持续大资金流入\n\n![7e2cfe4dd8a1581b57b01b7605d2865e.png](https://cdn.steemitimages.com/DQmSY3GX4ooJcYAhxFveKbBpGjEm7qmtDWpnaYPsxkjeEcm/7e2cfe4dd8a1581b57b01b7605d2865e.png)\n\n**币圈核弹级别的叙事出现了！**\n\n除了BTC的战略储备外，coinbase风头最盛的XRP反映了华尔街资本对币圈新投资方向：区块链技术改造传统金融，包括支付、RWA、普惠金融、DEFI等\n\n川普的上台扫清了监管障碍，这是一个没有天花板的市场，是核弹级别可持续的叙事，并且有落地，未来你会听到越来越多的项目和传统金融合作\n\n$XRP 涨疯了，自从特朗普上台之后这个币就没停过，经过了3年多的洗盘、沉寂之后，4周时间就历史ATH，市值已经来到了1300亿+了，全球第三大加密货币。\n\n**XRP拉盘的底层逻辑**\nXRP ADA HBAR都是几年的老币，拥有强大的资金实力和社区基础最近爆发的核心原因就是若干利好集中发力\n1.  SEC换人\n2. XRP老板成为川普加密顾问\n3. XRP和SEC的诉讼胜利\n4. XRP拥有坚实的业务和现金流，拉盘完全没有压力，公司现金超百亿\n5. 短期BTC横盘向上，市场乐观情绪\n\n![image.png](https://cdn.steemitimages.com/DQmdo9wAcDoQVhzzBp7oGpwt4L55qxavja9VjmXwRdsA5Mz/image.png)\n\nXRP 带飞老币，今天看到 $hbar $ltc $eos $iota 等都出现了疯狂拉升的行情走势，目前市场正在对老币、高市值的币进一步提高估值，重点关注。\n\nSOL上的meme行情这个周末不太理想，但是依然挡不住链上pvp的激情，每天还是有很多meme发出，但是金狗或者能持续的寥寥无几。\n\n新meme震荡调整之际，老meme在这个周末表现不错，比如 $pepe $doge $shib 等等，都有所拉升，目前的走势来看很健康，后续还会持续发力。\n\n$ETH 带动整个生态正在飞，上周以太坊的ETF 流入资金直接大于BTC的ETF了，这已经足够说明机构和资本正在关注ETH，所以ETH 上涨会带动整个赛道起飞，有其是DEFI 板块，比如 $crv $zro $cvx 等等，周末涨的都不错，后面ETH继续发力，DEFI等板块还会继续飞。从大饼的市值占比来看，下方还有一定的回落空间，代表山寨还有一些补涨的空间。",
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      "body": "<div class=\"text-justify\">\nThank you, @keshi, for your entry in the <a href=\"https://steemit.com/hive-108451\">Steemit Crypto Academy</a> community for this week’s contest. Below is the evaluation of your post.\n</div><br>\n\n<table>\n<tr>\n<th>Criteria</th>\n<th>Note</th>\n</tr>\n<tr>\n<td>#steemexclusive</td>\n<td>✅</td>\n</tr>\n<tr>\n<td>Plagiarism Free</td>\n<td>✅</td>\n</tr>\n<tr>\n<td>AI Content</td>\n<td>✅ Original (Human Text)</td>\n</tr>\n<tr>\n<td>Bot Free</td>\n<td>✅</td>\n</tr>\n<tr>\n<td>Completeness</td>\n<td>3/10</td>\n</tr>\n<tr>\n<td>Depth of Analysis</td>\n<td>2/10</td>\n</tr>\n<tr>\n<td>Practical Examples</td>\n<td>1/10</td>\n</tr>\n<tr>\n<td>Technical Accuracy</td>\n<td>3/10</td>\n</tr>\n<tr>\n<td>Formatting and Clarity</td>\n<td>4/10</td>\n</tr>\n</table>\n\n<h5>Comment/Recommendation</h5>\n\n**Question 1:** Your explanation of on-chain data metrics was a good start, but it lacked depth and actionable insights. While some metrics, such as wallet transfers and transaction costs, were mentioned, the examples were overly general and not connected to the Steem/USDT market as required. Including detailed examples and quantitative data would enhance this section significantly.\n\n**Question 2:** The explanation of sentiment indicators, including the Fear and Greed Index, was somewhat informative but did not address market trends or provide clear historical examples. Additionally, your explanation of sentiment analysis was overly theoretical, lacking practical examples of how this applies to cryptocurrency trading. Connecting these insights to real-world trading scenarios would strengthen your response.\n\n**Question 3:** The post did not address how on-chain data and sentiment indicators complement each other, as required. There was no mention of integrating these tools to form a cohesive trading strategy, which is a critical aspect of this competition. Adding examples specific to Steem/USDT and demonstrating their combined application is necessary.\n\n**Question 4:** The post lacks a trading strategy altogether, which is a significant oversight. Developing a sentiment-based trading strategy with clear entry, exit, and risk management criteria is vital for fulfilling the contest requirements.\n\n**Question 5:** The challenges and limitations of sentiment analysis were not adequately addressed. While the post briefly mentioned misleading signals, it failed to provide mitigation strategies or real-world scenarios. Expanding on this section with examples and actionable advice would improve it greatly.\n\n**Formatting and Clarity:** The post was incomplete and lacked organization. Ideas were not presented in a logical flow, and important details were missing. Improving the structure, breaking down concepts clearly, and including visuals or charts would make it more engaging and easier to understand.\n\n**Overall:** Your post demonstrates a basic understanding of the concepts but does not meet the depth and completeness expected for this competition. Addressing the missing sections, providing detailed examples, and improving the organization would significantly enhance its quality.\n\n**Total | 2.6/10**",
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      "body": "# Question 1: Understanding On-Chain Data Metrics\nWhat is on-chain data?\nOn-chain data is the amount of data stored on the network for each interaction with the blockchain. On-chain data includes information related to all transactions that occur on the public blockchain network. For example, transaction details such as sending and receiving addresses, transfer tokens, and transaction amounts, but also block data such as time, mining fees, and smart contract code.\nSo what can we do with on-chain data?\nBecause on-chain data is public and transparent and cannot be altered or falsified - i.e., it provides us with the most accurate information available - we can understand the flow of funds, the activity level of projects, the level of transaction costs, and many other key metrics. Combined with this information, investors can more fully assess a project's health, future potential and potential risks.\n\n## 1.1 Rich on-chain signals\nOn-chain data reveals how the crypto ecosystem works, so let's take a look at some of these indicators and implications:\n\n![Wallet transfer records (past 30 days)](https://cdn.steemitimages.com/DQmSNRXnEZNNYf5s1fj5TMt2jBYRt66b78TP22uX8FzRq4H/image.png)\n\n**Net inflows**: tracking the flow of funds between different agreements/projects to assess operational stability.\n\n![Wallet Address Transaction List](https://cdn.steemitimages.com/DQmdMGaA7gFjagg8PoTD1Sj1Txk2gHevKst5bpMCvwaL9G2/image.png)\n\n**Active Addresses**: Evaluating dApps and User Adoption on Different Chains\n\n\n![Wallet-Project Interaction Gas Cost](https://cdn.steemitimages.com/DQmQ4MvpbbKqyy4HdTSCPz2hgUNua8su3d8vAcewNEEHiuo/image.png)\n\n**Transaction Costs**: Measure the interaction costs of the blockchain network\n**Transaction liquidity**: monitoring large transactions and quantifying token accumulation and concentration\nCombining this data with developer activity, socialization volumes, and other fundamentals, we can get a 360-degree view of the health of the ecosystem.\n\n# Question 2: Using Sentiment Indicators to Analyze Market Trends\nTrying to get a sense of what your current sentiment is towards the cryptocurrency market? Is it fear, greed, or both? All of these emotions can affect your investment decisions. Maybe you know technical and fundamental analysis, but often, when prices fluctuate, your emotions are already in control without you realizing it. Next I will explain how to use sentiment analysis and provide some free indicators and tools for sentiment analysis.\n\n## 2.1 How to perform sentiment analysis\nIn a sentence, sentiment analysis focuses on analyzing whether the text expresses a positive, negative or neutral .\n  -  Best - 5\n  -  Worst - 0\n  -  Amazing - 7\n  -  Can't Wait - 6\n   -  Sucks - 2\n\nAssign each text a score based on how negative or positive it is, and then add all the scores together to see the overall mood of a sentence. Typically, this score is between -1 and +1. A -1 indicates a very negative sentiment and a +1 indicates a very positive sentiment.\nNow let's say I want to use sentiment analysis to understand my audience's attitude towards my post, I don't have to read every single comment. What I'm going to do is just create a sentiment analysis tool that looks at all the comments that mention the relevant word, gives it a sentiment score, and then adds them together to see what the average sentiment score is.\nThe next thing the sentiment analysis tool does is remove any words or phrases that don't carry a sentiment score, so after that, all that's left is “great” and “could be better”. In order to identify sentiment words and assign them a positive or negative sentiment score, most sentiment analysis tools will refer to a “lexicon”. This is a huge database of words and phrases that are manually coded by humans as positive or negative on a scale of -1 to +1.\nFor simplicity, let's say that the word “great” has a sentiment score of +1 and the phrase “could be better” has a sentiment score of -0.25. The sentiment score for this comment would be +0.75.\nNow suppose that there are only two other comments that mention text or letters with sentiment scores of -0.5 and +0.75. The total Sentiment Score of all the comments related to the text will be added by 1. This is a positive comment.\nSo how is sentiment analysis used in cryptocurrency trading?\n\n## 2.2 Sentiment Analysis in Cryptocurrencies\nKnow why sentiment analysis is so important for cryptocurrencies? You have to realize that what ultimately drives the price of cryptocurrencies up or down is the perception of investors.\nIn other words, market sentiment is the first step and reflecting it on the price is the second. What this means is that if you can know investor sentiment ahead of time through sentiment analysis on social media outlets like Twitter and Reddit, you can theoretically predict the price movement of any cryptocurrency.\nThere are even studies that have backed this up, but there are some caveats that I'll explain in a moment. As you may have guessed, most smart organizations use sentiment analysis, especially funds. Some believe this is why they always seem to stay ahead of crypto market operations.\nTypically, institutional investors use sentiment analysis tools that cost thousands or even millions of dollars per year, something most of us can't afford. Thankfully, there are also plenty of free sentiment analysis tools that can be just as effective as the overpriced ones you can buy if used properly.\n\n## 2.3 Fear and Greed Index\nOne of the most popular free sentiment analysis indicators in cryptocurrencies is the Fear and Greed Index. The Fear & Greed Index for cryptocurrencies is modeled after the CNN Financial Sector Stock Market Fear & Greed Index.\n\n![image.png](https://cdn.steemitimages.com/DQmTG6DuFP6vpCLfAZxSrzCjvBg27uXoWxSpkMEFzDeYQLP/image.png)\n\nLike the Fear and Greed Index for the stock market, the Fear and Greed Index for cryptocurrencies was created using a series of metrics that are also worth looking at individually: market volatility, trading volume, social media sentiment, Bitcoin dominance and Google search trends.\nWhen market volatility is high, trading volume is low, social media sentiment is negative, Bitcoin dominance is high, and Google search trends are low, you would want to present fear as you do now. Conversely, if market volatility is relatively low, trading volume is high, social media sentiment is positive, Bitcoin dominance is low, and Google search trends are high, the crypto market is showing a greed sentiment. Of course, that's a thing of the past.\nNow, the Fear and Greed Index can be used for trading over longer periods. A longer cycle here is a day or more. This is because the Fear and Greed Index is only updated once a day. In terms of how to trade using this indicator, in the words of Warren Buffett, be greedy when others are fearful and fearful when others are greedy.\n> NOTE: Remember to pay attention to how the Fear & Greed Index affects the stock market as it may affect the cryptocurrency market. The stock market gives you a better idea of how the rest of the market is feeling, and if investors start to feel anxious, they may pull out of risky assets like cryptocurrencies first.\n\n## 2.4 Bull/Bear Index\nAnother useful free sentiment analysis indicator in cryptocurrencies is the Bull and Bear Index. In contrast to the Fear and Greed Index, the Bulls and Bears Index focuses only on Bitcoin sentiment on social media platforms, specifically Bitcointalk.org, Reddit, and Twitter.\nWhat's more, the Bull & Bear Index is updated hourly, which makes it more suitable for short-period day trading. It ultimately depends on what the market is doing and which cryptocurrencies you are trading, if you see sentiment is turning positive but the price hasn't moved yet this could be an opportunity to get in early before the spike, if you see sentiment still increasing but the price has begun to fall then it may be time to sell. If sentiment is mixed but the trend is strong, follow the trend, as the old saying goes, trend is king. If the market is moving sideways and sentiment continues to fall, it suggests that a reversal may be imminent.\nNow this may sound a bit counter-intuitive, but it has to do with the fact that institutions also use sentiment analysis indicators in their trading. 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      "body": "<div class=\"text-justify\">Thanks, @keshi, for posting this article in the <a href=\"https://steemit.com/trending/hive-180932\">Steemit Crypto Academy</a> community today. We have evaluated your article and present the results of the evaluation below.</div><br>\n\n<table>\n<tr>\n<th>Criteria</th>\n<th>Note</th>\n</tr>\n<tr>\n<td>#steemexclusive</td>\n<td>✅</td>\n</tr>\n<tr>\n<td>Plagiarism Free</td>\n<td>✅</td>\n</tr>\n<tr>\n<td>AI Article</td>\n<td>✅ Original (Human Text!)</td>\n</tr>\n<tr>\n<td>Bot Free</td>\n<td>✅</td>\n</tr>\n</table>\n\n<h5>Comment/Recommendation</h5>\n\n- **Question 1**: The explanation of divergence was brief and could benefit from more depth. While it covered regular and hidden divergence, providing more specific examples and elaborating on their significance in trading could improve clarity for readers. Adding a more detailed explanation of how these divergences relate to trend reversals or continuations would strengthen this section.\n\n- **Question 2**: The identification of divergence using MACD was covered, but the explanation could use more practical examples. While the key components of MACD were explained, adding an illustration or specific example of a historical divergence pattern on a chart would enhance the analysis and help readers understand its application in real scenarios.\n\n- **Question 3**: The section on combining divergence with other indicators mentioned general concepts like positive and negative divergence but lacked detailed integration. Including specific examples of how other indicators like moving averages or Bollinger Bands complement MACD in divergence analysis would make this section more comprehensive.\n\n- **Question 4**: The trading strategy based on MACD divergence was briefly mentioned. Expanding on entry and exit points, risk management techniques, and criteria for confirming divergence signals would give this section more practical value for readers. More structure and step-by-step guidance would be helpful here.\n\n- **Question 5**: The limitations and best practices of divergence trading were noted, but the explanations were somewhat general. Providing specific examples or scenarios of common pitfalls and how to avoid them would enhance this section. Offering detailed best practices for using divergence in different market conditions could make the discussion more robust.\n\n**Overall**: This post presents a basic understanding of divergence trading and covers essential concepts but lacks in-depth analysis and specific examples. For future entries, consider expanding on each section with practical examples, detailed explanations, and more structured strategies to provide a richer learning experience.\n\n***Total*** | **6/10**",
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      "title": "Advanced Technical Analysis with Divergence Trading",
      "body": "# 01 Explain the Concept of Divergence in Trading\n\nDivergence trading is a kind of market signals, can be an early indication that this is the opportunity to buy or sell, but any indicator has a failure time, so still need to be combined with other indicators to verify the more accurate.\nGenerally we commonly used technical indicators and market price divergence, such as MACD indicator divergence, RSI indicator divergence and KDJ indicator divergence. There are two types of divergence:\n1. Regular Divergence\n2. Hidden Divergence\n\nConventional divergence means that as the price continues to move lower or higher, the indicator does not follow, but instead moves higher or lower.\n- Regular Bullish Divergence: In a downtrend, the price lows continue to move lower, but the indicator lows move higher instead.\nRegular Bearish Divergence: In an uptrend, the price highs continue to move higher, but the indicator highs move lower instead.\nHidden Divergence is when the indicator continues to move lower or higher, but the market price instead makes a higher low or lower high.\n- Hidden Bearish Divergence: Price formed a lower high, but the indicator continued to move higher\nHidden Bullish Divergence: price forms a higher low, but the indicator continues to move lower.\n\n**The simple summary is that as long as the price and indicator movement trend side of the reversal, we need to distinguish between the regular divergence and hidden divergence, regular divergence hidden is the market reversal signal, while the hidden divergence indicates that the market trend will continue.**\n\n# 02: Identifying Divergence with the RSI or MACD\nMACD (Moving Average Convergence Divergence) is a popular technical analysis indicator used to identify potential trend sickness to generate trading signals.\nThe MACD indicator consists of three key components:\n- **MACD Line**: This line represents the difference between two exponential moving averages, usually a short-term moving average and a long-term moving average. It reflects recent price action and provides a signal of a potential trend reversal.\n\n![1.png](https://cdn.steemitimages.com/DQmTJ73acvBK3PuhgrdHxbhRof265nyJMGdhYGGppzN1zc2/1.png)\n\n- **Signal Line**: A signal line is a smoothed moving average of the MACD line. It helps to confirm the direction of a trend and generates a trading signal when it crosses above or below the MACD line.\n\n![image.png](https://cdn.steemitimages.com/DQmZ2sghSWbUV6cpHGKYBRNmAZusBgZajsURfTvwE6g1Q9F/image.png)\n- **Histogram**: The histogram represents the vertical bars on the MACD chart. It visually depicts the distance between the MACD line and the signal line. Positive values indicate bullish momentum while negative values indicate bearish momentum.\n\n![image.png](https://cdn.steemitimages.com/DQmd712HHhczHAuH73kXcYYovBp3kA75suUTnvnyC4cJNSU/image.png)\n\n# 03 Combining Divergence with Other Indicators\nUnderstanding the MACD will enable you to use the indicator effectively in identifying potential trend reversals, confirming trend strength and generating trading signals. However, the MACD should be used in conjunction with other technical analysis tools to enhance the accuracy of your analysis results.\n- **positive divergence**\n\n![image.png](https://cdn.steemitimages.com/DQmapMwJJBMzyphhLSxnVhmBezK4JseEiyYKi1b4MDLNPDH/image.png)\n\nPositive divergence occurs when asset prices make lower lows, but the MACD indicator forms higher lows. This indicates a potential trend reversal and a bullish signal. For example if a stock's price is falling, making lower lows, and the MACD indicator shows higher lows, this could indicate that selling pressure is abating and prices are about to reverse to the upside.\n\n- **negative divergence**\n\n![image.png](https://cdn.steemitimages.com/DQmY35tLgZRLguoLrUMRr8SBkS3RcyAxjjmVur5t2cZmvHU/image.png)\n\nNegative divergence is the opposite of positive divergence. This occurs when asset prices make higher highs, but the MACD indicator forms lower highs. This indicates that the current uptrend may be weakening and the trend may reverse to the downside.\nFor example a stock price is rising, making higher highs, but the MACD indicator is showing lower highs, which may indicate that buying momentum is waning and the price may be correcting or reversing.\n\n- **moving average crossover**\n\n![image.png](https://cdn.steemitimages.com/DQmX3kpFUnJaNBonbko8dePjugDW65aLUeUogjwCQagPyRF/image.png)\n\nMoving average crossover is a widely used signal generated by the MACD indicator. When the MACD line crosses the signal line, it generates a bullish signal indicating a potential buying opportunity.\nConversely, when the MACD line crosses below the signal line, it generates a bearish signal indicating a potential selling opportunity. Traders often use these crossovers to confirm trend changes and enter or exit trades accordingly.\n\n# 04 Developing a Divergence-Based Trading Strategy\nAbove I talked about the MACD line, so next I will talk about the MACD based divergence strategy.\nDivergence occurs when the price of an asset moves in the opposite direction of the MACD indicator. A bullish divergence occurs when price forms a lower low and the MACD forms a higher low. This signals a potential upward reversal.\n\n![image.png](https://cdn.steemitimages.com/DQmVsNDAyLrkcG5W4h3ygdw97vCWbC8imeuifcWHcJbcYk6/image.png)\n\nConversely, a bearish divergence occurs when price forms higher highs and the MACD forms lower highs, indicating a potential downward reversal. You can predict trend reversals and adjust your trades accordingly by recognizing divergences.\n\n# 05 Limitations and Best Practices of Divergence Trading\n**You can't be in a hurry to trade with divergences, because while you think you've caught a head start on a divergence signal, other institutions, banks, and traders are watching. When a divergence occurs, perhaps we can wait a little longer and trade after the signal is fully confirmed.**\nHow can we further confirm a divergence trading signal?\n- You can use the Stochastic Oscillator (Stochastic Oscillator) to cross the 2 lines as a confirmation of the divergence. It can also be verified by using the indicator to move out of overbought and oversold areas.\n- It is also possible to verify a divergence signal by using a double trend line, where both the indicator area and the price area are drawn with corresponding trend lines, and the divergence signal can be verified when both trend lines are broken.\n- Generally when divergence occurs, the price will form a top or bottom reversal pattern, such as a double top or double bottom.\n- When using highs and lows to judge, note that they are major tops and bottoms, and you can ignore minor peaks between 2 highs, or minor valleys between 2 lows.\n- And it is only valid if there are consecutive highs or lows, for example, when you see prices forming consecutive highs, don't look for a low trend.",
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      "body": "01\n去年10-12月份，3个月期间，我陷入了一种充满无力感的状态。\n\n白天上班的时候，我脑袋里面会冒出很多下班之后想做的事情，而且每一个事情都似乎很有趣。\n\n但是一下班回到家，就觉得很累。看着各种各样想做的事情，丝毫提不起劲来，只想玩手机、追追剧。\n\n\n02\n我能理解为什么我会有很多新点子，因为我的理念、思维，就总是在想各种各样的问题。\n\n面对那么多新点子，由于我的分析才干很靠后，就失去了判断能力，不会深入去分析到底哪个事情比较好。\n\n但事情很多，不知道做哪个的时候，其实大脑面对的就是很模糊的东西，于是行动力下降，开始玩耍。\n\n纪律又希望我做一些正能量、提升自己的事情。\n\n于是，陷入一边刷短视频、一边自责的状态。\n\n03\n最后我是怎么调用才干，来解决这个问题的呢？\n\n首先，做减法，让自己每天的目标足够聚焦和清晰。\n\n其次，让我的理念+思维才干，在实现具体的目标里面去发挥作用。\n\n举个例子，以前我的理念+思维才干，就是漫山遍野的乱想，一会儿觉得该弄一弄语雀了，一会儿又觉得该去弄弄小红书。\n\n而现在，可能就是聚焦一周写一篇文章这种具体的事情上面，然后在实现这个目标时，我的理念+思维想的就是我该如何排版、如何把标题取得更吸引人一些等等问题。\n\n这样，就完美解决这个问题啦~~~",
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      "body": "01\n昨天内部培训会议上，大家学习了新的知识，然后输出东西。\n\n结果大家都在哪里抱怨这个东西好难，很费时间，细节点很多等等。\n\n我就突然有点释然了。\n\n因为之前我主要在负责这个东西的产出，第一次做这个东西，拿出来评审的时候，大家有各种各样的意见，评审还评审了好几次。\n\n但当大家从评价者变成实际去做事情的人时，我发现大家其实和我之前的阶段一样，也觉得很难。\n\n我倒不是指责大家对我产出东西的评价，毕竟有反馈东西才有改进的空间。\n\n而是，我突然想明白，那段时间自己给自己的压力太大了。事实再次证明，并不是自己不行，而是大多数人来做这样一个事情，也会遇到困难。\n\n02\n这件事情背后，是我的体谅在发挥作用，当我知道大家都差不多的时候，我就开始体谅曾经的自己。\n\n03\n这件事情给我的启发是，当压力过大的时候，多用体谅来看看外面的环境，换位思考。\n\n这样就能解决自己的情绪问题，专注的做事。\n\n当度过了那段时间，我就会发现自己又成长了！",
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