瓜瓜龙
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[The largest 'whale' of ETH has changed hands, it's not the Ethereum Foundation, it's a Nasdaq company!]
SharpLink Gaming ($SBET) has surpassed the Ethereum Foundation to become the world's largest institutional holder of ETH, which has significant symbolic meaning and potential impact, possibly becoming a watershed event for 'on-chain asset equity'.
On July 14, according to on-chain data, the ETH holdings of the US-listed company SharpLink Gaming reached 270,000 units, surpassing the Ethereum Foundation (which holds 242,500 units of ETH) to become the largest institutional holder of ETH. After continuing to increase its holdings on July 15, its latest ETH holding number has reached 294,000 units.
I. What does the replacement of the largest 'whale' of ETH signify?
On July 14, according to on-chain data, the ETH holdings of the US-listed company SharpLink Gaming reached 270,000 units, surpassing the Ethereum Foundation (which holds 242,500 units of ETH) to become the largest institutional holder of ETH. After continuing to increase its holdings on July 15, its latest ETH holding number has reached 294,000 units.
I. What does the replacement of the largest 'whale' of ETH signify?
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#BinanceTurns8 和我们一起参加 #BinanceTurns8 庆祝活动，瓜分高达 $888,888 等值 BNB！ https://www.marketwebb.red/activity/binance-turns-8?ref=GRO_19600_PWUX7
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#BinanceTurns8 和我们一起参加 #BinanceTurns8 庆祝活动，瓜分高达 $888,888 等值 BNB！ https://www.marketwebb.red/activity/binance-turns-8?ref=GRO_19600_PWUX7
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#BinanceTurns8 集齐 #BinanceTurns8 加密货币星座符号，即有机会赢额外 BNB 奖励！ https://www.marketwebb.red/activity/binance-turns-8?ref=GRO_19600_PWUX7
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The evolution of trading strategies has roughly gone through three stages, each transition directly related to the pitfalls encountered and losses suffered, reflecting upgrades in mindset and understanding:
First Stage: Obsessed with the 'Holy Grail,' chasing signals
When first starting out, there was always the belief that 'a good strategy = high win rate,' leading to an obsession with various combinations of indicators (such as MACD + RSI golden crosses and death crosses, Bollinger Band breakouts), staring at the market every day looking for signals, trading frequently, feeling the strategy is great when making profits, and changing indicators when losing. The result was a pile of transaction fees, a rollercoaster account, and constant frustration from 'missing signals,' causing significant anxiety.
Key Transition: Realizing that 'win rate ≠ profit,' the true determinant of profit and loss is the 'risk-reward ratio.' For example, in 10 trades, 4 are profitable and 6 are losses, but each win earns 3 units and each loss loses 1 unit, leading to long-term gains. This shifted my focus from 'finding winning signals' to 'accepting losses and maximizing profits.'
Second Stage: Focusing on 'rules,' cutting off emotions
After understanding the importance of the risk-reward ratio, I began to establish strict trading rules: for instance, only trading 2 familiar instruments, entering trades only when both 'trend + volume' conditions are met, setting stop-loss just outside recent highs and lows, and taking profits in two batches (one part to break even, one part following the trend). However, during execution, I often couldn't resist 'manual intervention'—for example, adding positions when the stop-loss was nearing, thinking 'this time it will definitely rebound,' which turned small losses into huge losses.
Key Transition: Treating 'rules' as a 'lifeline,' using mechanical execution to combat human weaknesses. Later, I even trained on a demo account for a month 'only placing orders according to rules, not checking account profits and losses,' gradually discovering: when you stop obsessing over individual wins and losses, and focus on 'doing the right thing,' long-term results become more stable. My mindset also shifted from 'fear of loss' to 'fear of violating rules.'
Third Stage: Adapting to 'changes,' leaving room for error
The market always has black swan events (such as sudden policies or liquidity crises), and even the most perfect rules can fail. Once, I followed a trend strategy to go long, but encountered extreme market conditions that gapped down, directly breaching the stop-loss line, resulting in losses equivalent to the profits from the previous three trades. This made me realize that 'strategies are not rigid; one must leave room for errors in the market.'
First Stage: Obsessed with the 'Holy Grail,' chasing signals
When first starting out, there was always the belief that 'a good strategy = high win rate,' leading to an obsession with various combinations of indicators (such as MACD + RSI golden crosses and death crosses, Bollinger Band breakouts), staring at the market every day looking for signals, trading frequently, feeling the strategy is great when making profits, and changing indicators when losing. The result was a pile of transaction fees, a rollercoaster account, and constant frustration from 'missing signals,' causing significant anxiety.
Key Transition: Realizing that 'win rate ≠ profit,' the true determinant of profit and loss is the 'risk-reward ratio.' For example, in 10 trades, 4 are profitable and 6 are losses, but each win earns 3 units and each loss loses 1 unit, leading to long-term gains. This shifted my focus from 'finding winning signals' to 'accepting losses and maximizing profits.'
Second Stage: Focusing on 'rules,' cutting off emotions
After understanding the importance of the risk-reward ratio, I began to establish strict trading rules: for instance, only trading 2 familiar instruments, entering trades only when both 'trend + volume' conditions are met, setting stop-loss just outside recent highs and lows, and taking profits in two batches (one part to break even, one part following the trend). However, during execution, I often couldn't resist 'manual intervention'—for example, adding positions when the stop-loss was nearing, thinking 'this time it will definitely rebound,' which turned small losses into huge losses.
Key Transition: Treating 'rules' as a 'lifeline,' using mechanical execution to combat human weaknesses. Later, I even trained on a demo account for a month 'only placing orders according to rules, not checking account profits and losses,' gradually discovering: when you stop obsessing over individual wins and losses, and focus on 'doing the right thing,' long-term results become more stable. My mindset also shifted from 'fear of loss' to 'fear of violating rules.'
Third Stage: Adapting to 'changes,' leaving room for error
The market always has black swan events (such as sudden policies or liquidity crises), and even the most perfect rules can fail. Once, I followed a trend strategy to go long, but encountered extreme market conditions that gapped down, directly breaching the stop-loss line, resulting in losses equivalent to the profits from the previous three trades. This made me realize that 'strategies are not rigid; one must leave room for errors in the market.'
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A/USDT
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#我的策略演变 The evolution of trading strategies has generally gone through three stages, each transition directly related to the pitfalls encountered and losses suffered. Looking back, it’s all about the upgrade in mindset and understanding:
First Stage: Obsessed with the "Holy Grail", chasing signals
When I first started, I always thought that "good strategy = high win rate". I was crazy about various indicator combinations (like MACD + RSI golden cross and dead cross, Bollinger Bands breakout), staring at the market every day looking for signals, trading frequently. When I made money, I thought the strategy was great, and when I lost, I changed indicators. The result was a pile of transaction fees, account fluctuations, and always feeling anxious about "missing signals".
Key Transition: Realizing that "win rate ≠ profit"; what truly determines profit and loss is the "profit-loss ratio". For example, in 10 trades, if I made money 4 times and lost 6 times, but made 3 units each time I profited and lost 1 unit each time I lost, I could still be profitable long-term. This shifted my focus from "finding sure win signals" to "accepting losses and amplifying profits".
Second Stage: Focus on "rules", cut off emotions
After understanding the importance of the profit-loss ratio, I began to set strict trading rules: for example, only trading two familiar assets, entering trades only when both "trend + volume" conditions were met, setting stop losses outside the recent high and low points, and taking profits in two batches (one part for breakeven, one part to follow the trend). However, I often couldn't resist "manual intervention"—for example, when the stop loss was approaching, I would add to my position, thinking, "This time it will definitely bounce back," resulting in small losses turning into huge losses.
Key Transition: Treating "rules" as a "lifeline" and using mechanical execution to combat human weaknesses. Later, I even practiced on a simulated account for a month, "only placing orders according to rules, not looking at account profit and loss", gradually discovering that when you don't get hung up on individual wins or losses and focus on "doing the right thing", the long-term results are actually more stable. My mindset shifted from "afraid of losing" to "afraid of breaking the rules".
Third Stage: Adapting to "changes", leaving room for error
The market always has black swans (like sudden policies or liquidity crashes), and even the most perfect rules can fail. Once, following a trend strategy, I went long only to encounter extreme market conditions with a gap down at the open, which directly breached my stop loss line, resulting in a loss of the profits from the previous three trades. This made me realize that "strategies are not rigid; we must leave room for error in the market".
First Stage: Obsessed with the "Holy Grail", chasing signals
When I first started, I always thought that "good strategy = high win rate". I was crazy about various indicator combinations (like MACD + RSI golden cross and dead cross, Bollinger Bands breakout), staring at the market every day looking for signals, trading frequently. When I made money, I thought the strategy was great, and when I lost, I changed indicators. The result was a pile of transaction fees, account fluctuations, and always feeling anxious about "missing signals".
Key Transition: Realizing that "win rate ≠ profit"; what truly determines profit and loss is the "profit-loss ratio". For example, in 10 trades, if I made money 4 times and lost 6 times, but made 3 units each time I profited and lost 1 unit each time I lost, I could still be profitable long-term. This shifted my focus from "finding sure win signals" to "accepting losses and amplifying profits".
Second Stage: Focus on "rules", cut off emotions
After understanding the importance of the profit-loss ratio, I began to set strict trading rules: for example, only trading two familiar assets, entering trades only when both "trend + volume" conditions were met, setting stop losses outside the recent high and low points, and taking profits in two batches (one part for breakeven, one part to follow the trend). However, I often couldn't resist "manual intervention"—for example, when the stop loss was approaching, I would add to my position, thinking, "This time it will definitely bounce back," resulting in small losses turning into huge losses.
Key Transition: Treating "rules" as a "lifeline" and using mechanical execution to combat human weaknesses. Later, I even practiced on a simulated account for a month, "only placing orders according to rules, not looking at account profit and loss", gradually discovering that when you don't get hung up on individual wins or losses and focus on "doing the right thing", the long-term results are actually more stable. My mindset shifted from "afraid of losing" to "afraid of breaking the rules".
Third Stage: Adapting to "changes", leaving room for error
The market always has black swans (like sudden policies or liquidity crashes), and even the most perfect rules can fail. Once, following a trend strategy, I went long only to encounter extreme market conditions with a gap down at the open, which directly breached my stop loss line, resulting in a loss of the profits from the previous three trades. This made me realize that "strategies are not rigid; we must leave room for error in the market".
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#BinanceTurns8 和我们一起参加 #BinanceTurns8 庆祝活动，瓜分高达 $888,888 等值 BNB！ https://www.marketwebb.red/activity/binance-turns-8?ref=GRO_19600_PWUX7
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#迷因币情绪 #迷因币情绪
The market sentiment for Memecoins may continue to fluctuate over the next month, driven by community hype, celebrity endorsements, and market speculation. Recently, the trading volume of Dogecoin (DOGE), Shiba Inu (SHIB), and others has surged, indicating high retail enthusiasm, but price volatility is significant and risks are pronounced. Promotion by political figures and regulatory loosening may fuel a 'super cycle of crime,' necessitating caution against fraud risks. Community culture and viral spread will continue to boost attention, but the lack of fundamental support may lead to price instability. Investors should pay attention to community dynamics, changes in trading volume, and policy impacts, while remaining rational and cautiously participating in high-risk speculation.
The market sentiment for Memecoins may continue to fluctuate over the next month, driven by community hype, celebrity endorsements, and market speculation. Recently, the trading volume of Dogecoin (DOGE), Shiba Inu (SHIB), and others has surged, indicating high retail enthusiasm, but price volatility is significant and risks are pronounced. Promotion by political figures and regulatory loosening may fuel a 'super cycle of crime,' necessitating caution against fraud risks. Community culture and viral spread will continue to boost attention, but the lack of fundamental support may lead to price instability. Investors should pay attention to community dynamics, changes in trading volume, and policy impacts, while remaining rational and cautiously participating in high-risk speculation.
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#BinanceTurns8 和我们一起参加 #BinanceTurns8 庆祝活动，瓜分高达 $888,888 等值 BNB！ https://www.marketwebb.red/activity/binance-turns-8?ref=GRO_19600_PWUX7
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Join us with #BinanceTurns8 for the #BinanceTurns8 celebration event to share a prize pool of up to $888,888 worth of BNB! https://www.marketwebb.red/activity/binance-turns-8?ref=GRO_19600_PWUX7
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Join #BinanceTurns8 with us for the #BinanceTurns8 celebration event, sharing up to $888,888 worth of BNB! https://www.marketwebb.red/activity/binance-turns-8?ref=GRO_19600_PWUX7
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4 Little-Known Facts About the Crypto World That No One Tells You (Recommended to Read Repeatedly)
1. The Cost of Averaging Down Is Not What You Think
Assuming you bought $10,000 worth of a coin at $10, and then it drops to $5, you buy another $10,000. You think your average cost is $7.5? Wrong, it's actually $6.67. Why? Because you bought more coins at $5, which brings down the overall average cost. Many people get this calculation wrong, don’t be deceived by surface numbers.
2. Earning 1% Daily, Doubling in a Year Is Not a Dream
If you have $100,000 and only aim for a 1% profit each day, after 250 trading days, through compounding, you can reach $1.32 million. Keep it up for another year, and that’s over $10 million. Sounds ridiculous? You can calculate it yourself; this is the power of compounding. But the real challenge isn’t the calculation, it’s the discipline of “taking 1% and walking away.”
3. A 60% Success Rate in Investing Can Still Lead to Huge Profits
If you make 100 trades with a 60% win rate, taking profits of 10% and losses of 10% each time, you can make 300%. It sounds like a math game, but in reality, many people can’t even follow “take profit and cut loss.” Relying solely on luck leads to extreme ups and downs, making money quickly but losing it even faster.
4. Turning $10,000 into $100 Million? Theoretically Possible, But Don’t Count on It
If you could consistently make 10% profit each time, after 49 trades, you could turn $10,000 into $1 million, after the 73rd trade into $10 million, and after the 97th into over $100 million. Sounds exhilarating, right? But in reality, you may not find even one person out of 10,000 who can actually do it. The root cause? Two words: Greed.
1. The Cost of Averaging Down Is Not What You Think
Assuming you bought $10,000 worth of a coin at $10, and then it drops to $5, you buy another $10,000. You think your average cost is $7.5? Wrong, it's actually $6.67. Why? Because you bought more coins at $5, which brings down the overall average cost. Many people get this calculation wrong, don’t be deceived by surface numbers.
2. Earning 1% Daily, Doubling in a Year Is Not a Dream
If you have $100,000 and only aim for a 1% profit each day, after 250 trading days, through compounding, you can reach $1.32 million. Keep it up for another year, and that’s over $10 million. Sounds ridiculous? You can calculate it yourself; this is the power of compounding. But the real challenge isn’t the calculation, it’s the discipline of “taking 1% and walking away.”
3. A 60% Success Rate in Investing Can Still Lead to Huge Profits
If you make 100 trades with a 60% win rate, taking profits of 10% and losses of 10% each time, you can make 300%. It sounds like a math game, but in reality, many people can’t even follow “take profit and cut loss.” Relying solely on luck leads to extreme ups and downs, making money quickly but losing it even faster.
4. Turning $10,000 into $100 Million? Theoretically Possible, But Don’t Count on It
If you could consistently make 10% profit each time, after 49 trades, you could turn $10,000 into $1 million, after the 73rd trade into $10 million, and after the 97th into over $100 million. Sounds exhilarating, right? But in reality, you may not find even one person out of 10,000 who can actually do it. The root cause? Two words: Greed.
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深潮 TechFlow
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On-the-spot investigation of stablecoins in Huaqiangbei: starting from 50,000 coins, with gray areas
Written by: Cao Yuan, 21st Century Economic Report
In the current foreign trade business, more and more merchants are noticing the use of stablecoins for cross-border payments.
Earlier, reporters from the 21st Century Economic Report went to Yiwu, 'the world's largest small commodity distribution center', to investigate merchants' use of stablecoins and found that most merchants reported they had never heard of stablecoins and did not understand them; some merchants raised questions about their compliance, costs, etc.; only a few merchants supported stablecoin payments.
In China's 'Electronic First Street' Shenzhen Huaqiangbei, there is a vast electronic component trading market, which also attracts numerous suppliers and buyers from around the world.
In the current foreign trade business, more and more merchants are noticing the use of stablecoins for cross-border payments.
Earlier, reporters from the 21st Century Economic Report went to Yiwu, 'the world's largest small commodity distribution center', to investigate merchants' use of stablecoins and found that most merchants reported they had never heard of stablecoins and did not understand them; some merchants raised questions about their compliance, costs, etc.; only a few merchants supported stablecoin payments.
In China's 'Electronic First Street' Shenzhen Huaqiangbei, there is a vast electronic component trading market, which also attracts numerous suppliers and buyers from around the world.
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$BNB Let's talk about the investment strategy for BNB. The current market environment is unpredictable, and BNB's technical trends are also fluctuating. In this situation, a low-bid strategy is indeed a good choice, but there are some key points that everyone must pay attention to!
First, regarding the method of building positions, it is recommended that everyone adopt a phased approach. Why? Investing all your funds at once carries too much risk! A phased approach can help us diversify risk, so even if the market suddenly fluctuates, we won't incur too much loss all at once. Specifically, it's best not to allocate more than 20% of your position at each support level. This way, even if a certain support level fails, we still have other funds available to operate, and we won't lose everything.
Next, let's talk about the timing of entry, which is also very important. We can use the RSI indicator to judge when to enter. When the RSI indicator for a 4-hour period is below 45, entering at that time will be relatively safer. This indicator acts like a little assistant on our investment journey, helping us better grasp market buy and sell signals. A value below 45 indicates that the market may be in an oversold state, making it more likely for prices to rebound. Entering at this time increases the chances of seizing the opportunity for an upward movement.
First, regarding the method of building positions, it is recommended that everyone adopt a phased approach. Why? Investing all your funds at once carries too much risk! A phased approach can help us diversify risk, so even if the market suddenly fluctuates, we won't incur too much loss all at once. Specifically, it's best not to allocate more than 20% of your position at each support level. This way, even if a certain support level fails, we still have other funds available to operate, and we won't lose everything.
Next, let's talk about the timing of entry, which is also very important. We can use the RSI indicator to judge when to enter. When the RSI indicator for a 4-hour period is below 45, entering at that time will be relatively safer. This indicator acts like a little assistant on our investment journey, helping us better grasp market buy and sell signals. A value below 45 indicates that the market may be in an oversold state, making it more likely for prices to rebound. Entering at this time increases the chances of seizing the opportunity for an upward movement.
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The countless trading traps that #交易策略误区 traders easily fall into: Taking a chart to set a strategy, pulling out a typical market trend chart, and then based on this chart, formulating a trading strategy, establishing your entry signals and exit signals, etc. For example, we find a bullish market trend chart, identify a moving average, such as the 30-day moving average, and observe that the price is rising along the 30-day moving average. Therefore, we conclude that the 30-day moving average is effective, indeed very effective, and we use the 30-day moving average as our trading system, entering a position when the price breaks above the 30-day moving average and exiting when it falls below the 30-day moving average. This kind of thought trap can easily confuse countless people, who can never find the root cause of their trading problems.
The reason this logic is flawed is essentially because you inadvertently introduced a future function, that is, a premise: you already know the future market trend, which impacts the formulation of your current trading strategy.
But how can we know the future market trend? It is impossible; the future is always a black hole before us, so we do not know the future market trend and have no idea whether trading strategies based on typical charts can still be applied to the next step in the market's movements. Of course, it is basically impossible because the nature of market trends is constantly changing, and the trading strategies you formulate based on typical charts will quickly lead to losses.
The reason this logic is flawed is essentially because you inadvertently introduced a future function, that is, a premise: you already know the future market trend, which impacts the formulation of your current trading strategy.
But how can we know the future market trend? It is impossible; the future is always a black hole before us, so we do not know the future market trend and have no idea whether trading strategies based on typical charts can still be applied to the next step in the market's movements. Of course, it is basically impossible because the nature of market trends is constantly changing, and the trading strategies you formulate based on typical charts will quickly lead to losses.
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#套利交易策略 event-driven arbitrage is not a guaranteed profit; its risk is directly related to the certainty of the event, market sentiment, and the depth of one's control over the rules. Sufficient research must be conducted before involvement, and a strict stop-loss plan should be established. Regarding the rise or fall of cryptocurrency prices, the fermentation of events often requires time (for example, it may take several months for a project team to issue tokens), and funds are tied up for a long time. During this period, if the overall market declines or better opportunities arise, it will result in 'opportunity cost loss'.
If the event is delayed beyond expectations, there may also be a need for liquidity that forces an early exit, resulting in missed potential gains or incurred losses. In summary, the core of risk control in event-driven arbitrage is: 'do not bet on a single event, do not be greedy for excessive returns, do not ignore detailed rules.' By conducting rigorous pre-analysis and flexible in-process responses, one can balance returns and risks.
If the event is delayed beyond expectations, there may also be a need for liquidity that forces an early exit, resulting in missed potential gains or incurred losses. In summary, the core of risk control in event-driven arbitrage is: 'do not bet on a single event, do not be greedy for excessive returns, do not ignore detailed rules.' By conducting rigorous pre-analysis and flexible in-process responses, one can balance returns and risks.
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#趋势交易策略 3 hours of frantically scanning 80 million pieces! State-owned enterprise darling $CFX countdown to breakout at $0.38 on the weekly chart, with 3x leverage to get on board
Policy level breakthrough
Shanghai State-owned Assets Supervision and Administration Commission's Party Committee special study on cryptocurrency and stablecoins, Party Secretary He Qing sets the tone:
"Promote the deep integration of technology, finance, and industry"
"Strengthen research and exploration of digital currency"
Release signal: Local governments have shifted from "encirclement" to "reassurance," and compliance in the crypto space has entered the provincial and ministerial promotion stage!
Shanghai's special status
The only city in the country with dual licenses for digital RMB pilots + national-level exchanges Historical action: In 2024, Shanghai will release a blockchain + action plan to support local public chains like Conflux Related solid evidence: The Shanghai branch of the Central Bank's Digital Currency Research Institute is expanding its recruitment, with positions including "stablecoin architect"
Destructive impact on the crypto space
Bull market nuclear explosion point
Yifang profit engine on-chain solid evidence compliant stablecoin Shanghai may pilot offshore RMB stablecoin Tether issued an additional 1.2 billion in a single week
Policy level breakthrough
Shanghai State-owned Assets Supervision and Administration Commission's Party Committee special study on cryptocurrency and stablecoins, Party Secretary He Qing sets the tone:
"Promote the deep integration of technology, finance, and industry"
"Strengthen research and exploration of digital currency"
Release signal: Local governments have shifted from "encirclement" to "reassurance," and compliance in the crypto space has entered the provincial and ministerial promotion stage!
Shanghai's special status
The only city in the country with dual licenses for digital RMB pilots + national-level exchanges Historical action: In 2024, Shanghai will release a blockchain + action plan to support local public chains like Conflux Related solid evidence: The Shanghai branch of the Central Bank's Digital Currency Research Institute is expanding its recruitment, with positions including "stablecoin architect"
Destructive impact on the crypto space
Bull market nuclear explosion point
Yifang profit engine on-chain solid evidence compliant stablecoin Shanghai may pilot offshore RMB stablecoin Tether issued an additional 1.2 billion in a single week
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#突破交易策略 7.10 Midday Silk Road
After taking off with the early morning trend, it began to challenge and fluctuate. The daily level has successfully broken through the key trend line and is holding steady, with a clear upward shift in the technical structure, making the continuation of the trend quite likely. However, the divergence in the market situation is worth noting:
Although the daily line closed with a bullish candle, the upper shadow is relatively long, indicating significant selling pressure above, and short-term trends have shown signs of weakening.
Major cryptocurrency resistance around 111300-112000, looking towards 110900-110000.
Secondary cryptocurrency resistance around 2810-2840, looking towards 2760-2730.
After taking off with the early morning trend, it began to challenge and fluctuate. The daily level has successfully broken through the key trend line and is holding steady, with a clear upward shift in the technical structure, making the continuation of the trend quite likely. However, the divergence in the market situation is worth noting:
Although the daily line closed with a bullish candle, the upper shadow is relatively long, indicating significant selling pressure above, and short-term trends have shown signs of weakening.
Major cryptocurrency resistance around 111300-112000, looking towards 110900-110000.
Secondary cryptocurrency resistance around 2810-2840, looking towards 2760-2730.
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#日内交易策略 Moving Average Crossover Strategy: A Simple and Effective Intraday Trading Method
The Moving Average Crossover strategy is a common technique in intraday trading, using the crossover of short-term and long-term moving averages (such as 5EMA and 20EMA) to determine buy and sell points. A golden cross (short-term moving average crosses above long-term) indicates a buy, while a death cross (short-term moving average crosses below long-term) indicates a sell. This strategy is suitable for trending markets but can produce false signals in a sideways market, so it can be combined with volume or RSI to filter out noise. Optimizing parameters (such as changing to 9EMA and 21EMA) may enhance performance but should avoid overfitting historical data.
The Moving Average Crossover strategy is a common technique in intraday trading, using the crossover of short-term and long-term moving averages (such as 5EMA and 20EMA) to determine buy and sell points. A golden cross (short-term moving average crosses above long-term) indicates a buy, while a death cross (short-term moving average crosses below long-term) indicates a sell. This strategy is suitable for trending markets but can produce false signals in a sideways market, so it can be combined with volume or RSI to filter out noise. Optimizing parameters (such as changing to 9EMA and 21EMA) may enhance performance but should avoid overfitting historical data.
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