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$FTSE Bursa Malaysia KLCI Index (.KLSE.MY)$ $FTSE Bursa Malaysia Top 100 Index (.FBM100.MY)$ $FTSE Straits All-Share Index (.FSTAS.SG)$ $FTSE Singapore Straits Time Index (.STI.SG)$ 🙈 now MY and SG turn for a vertical dive, cash is 👑
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缠论缠心
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$Meta Platforms (META.US)$ If you sell at 497, it will rise to 501.
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Tesla reached the target of 174 as analyzed yesterday.
Other individual stocks should take a slight profit in the long term. In the short term, pay attention to the fact that the overall market is at a historical high of 153 years. Do not chase high or short blindly, wait for favorable conditions before opening positions again.
Other individual stocks should take a slight profit in the long term. In the short term, pay attention to the fact that the overall market is at a historical high of 153 years. Do not chase high or short blindly, wait for favorable conditions before opening positions again.
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Last week in review 👉🏻Market Review+Position Analysis (20/05-24/05 2024)
“History clearly shows that almost every superstock was in a clear upward trend before rising sharply. In fact, 99% of stocks traded above the 200-day moving average before a sharp rise, and 96% traded above the 50-day moving average.” -Mark Minervini
A quick review of this week's markets:
$NASDAQ 100 Index (.NDX.US)$ Fundraising on Tuesday, distribution on Thursday, disagreement on Friday;
$S&P 500 Index (.SPX.US)$ Divided on Tuesday, distributed on Wednesday and Thursday, and attracted on Friday;
$Dow Jones Industrial Average (.DJI.US)$ It is distributed on Tuesday, distributed on Thursday, and attracted on Friday.
NDX>SPX>DJI.
Another wonderful week, summed up in one sentence: capital has baptized participants in inertial thinking again and again (history is always repeated, and the mentality of market participants has always been the same);
This is why trading requires a system, rules, and circumvents all emotions as much as possible;
At the same time, the market also brought us a layer of high-quality filters, so you can gradually see who are the flowers and who are the weeds in the garden.
NDX and SPX weekly charts:
The area around 10MA was backtested at the same time, and in a very short time...
“History clearly shows that almost every superstock was in a clear upward trend before rising sharply. In fact, 99% of stocks traded above the 200-day moving average before a sharp rise, and 96% traded above the 50-day moving average.” -Mark Minervini
A quick review of this week's markets:
$NASDAQ 100 Index (.NDX.US)$ Fundraising on Tuesday, distribution on Thursday, disagreement on Friday;
$S&P 500 Index (.SPX.US)$ Divided on Tuesday, distributed on Wednesday and Thursday, and attracted on Friday;
$Dow Jones Industrial Average (.DJI.US)$ It is distributed on Tuesday, distributed on Thursday, and attracted on Friday.
NDX>SPX>DJI.
Another wonderful week, summed up in one sentence: capital has baptized participants in inertial thinking again and again (history is always repeated, and the mentality of market participants has always been the same);
This is why trading requires a system, rules, and circumvents all emotions as much as possible;
At the same time, the market also brought us a layer of high-quality filters, so you can gradually see who are the flowers and who are the weeds in the garden.
NDX and SPX weekly charts:
The area around 10MA was backtested at the same time, and in a very short time...
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$Hallador Energy (HNRG.US)$
YAWP
$Hallador Energy (HNRG.US)$
It's easy. Know the sectors money is moving to, and beat them to it. 🤑
Then buy don't look, wait and reap the rewards.
Sure do
it sounds impossible, but it's not 🤫 it's not tech.😉
YAWP
$Hallador Energy (HNRG.US)$
It's easy. Know the sectors money is moving to, and beat them to it. 🤑
Then buy don't look, wait and reap the rewards.
Sure do
it sounds impossible, but it's not 🤫 it's not tech.😉
+1
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This is a recent tweet from Mark Minervini on Twitter👇
As the quarterly earnings report comes the day after the contraction, we have no way of knowing whether Mark traded this stock, but we can find some clues as to why Mark is interested in this stock based on $Blueprint Medicines (BPMC.US)$the charts.
First, look at IBD's chart, the recent two significant downturn consolidations have created a bullish deviation on the RS line👇
Some other important indicators👇
Returning to the MOOMOO chart:
In the chart, the high and low points of the consolidation area are connected by a purple line, which are:
101,84.81
97,84.33
94.67,88.46
94.98,90.745
Subtracting the previous value from the current value gives the difference:
16.19
12.67
6.21
4.235
Percentage difference between high and low:
16%
13.06%
6.56% (meets the condition)
4.46% (meets the condition)
The final breakout buy point is indicated by drawing a white line, and the recent low point is marked with a red line for stop loss.
Next, we take a $100,000.00 account as a model and the reasonable stop-loss range for swing trading corresponding to the account is 1% to 0.25% of the account.
1% account stop-loss = $1,000.00, corresponding to a price difference stop-loss of 4.235, which can buy 236 shares for an amount used: $22,427.00...
As the quarterly earnings report comes the day after the contraction, we have no way of knowing whether Mark traded this stock, but we can find some clues as to why Mark is interested in this stock based on $Blueprint Medicines (BPMC.US)$the charts.
First, look at IBD's chart, the recent two significant downturn consolidations have created a bullish deviation on the RS line👇
Some other important indicators👇
Returning to the MOOMOO chart:
In the chart, the high and low points of the consolidation area are connected by a purple line, which are:
101,84.81
97,84.33
94.67,88.46
94.98,90.745
Subtracting the previous value from the current value gives the difference:
16.19
12.67
6.21
4.235
Percentage difference between high and low:
16%
13.06%
6.56% (meets the condition)
4.46% (meets the condition)
The final breakout buy point is indicated by drawing a white line, and the recent low point is marked with a red line for stop loss.
Next, we take a $100,000.00 account as a model and the reasonable stop-loss range for swing trading corresponding to the account is 1% to 0.25% of the account.
1% account stop-loss = $1,000.00, corresponding to a price difference stop-loss of 4.235, which can buy 236 shares for an amount used: $22,427.00...
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First-quarter monthly income breakdown👇
Overall yield curve👇
First quarter trading win rate and top five winners👇
SMCI has had two trades, with the main riding stage position size at 12-13%, currently with no position.
NVDA is a trade, mainly riding phase position size: 11-12%, currently no position.
KOLD is a trade, mainly riding phase position size about 3%, currently no position.
CVNA is a trade, mainly riding phase position about 3%, currently holding the remaining 1/3 of the position.
META is a trade, mainly riding phase position: 8-9%, currently holding the remaining 3/4 position.
It is worth noting that both KOLD and CVNA hold small positions of around 3%, but achieve significant returns, demonstrating the significant impact of psychological advantage on trading. Similar low-risk trading returns have profound implications for account growth ❤️.
Despite some trading errors in the first quarter, relying on trading systems, psychological aspects, and the advantage of avoiding noise, the account still has a decent positive growth.
System Advantages:
The probability of winning trades X average profit of winning trades > Probability of losing trades X average loss of losing trades.
Out of 4 variables, only the "average loss of failed trades" has the strongest controllability, which is also the foundation of a successful trading system;
Psychological advantages:
The impact on the "average profit of winning trades" is the most important, with details mainly focusing on protecting profits from advantageous trades that have already been made and riding safely for longer...
Overall yield curve👇
First quarter trading win rate and top five winners👇
SMCI has had two trades, with the main riding stage position size at 12-13%, currently with no position.
NVDA is a trade, mainly riding phase position size: 11-12%, currently no position.
KOLD is a trade, mainly riding phase position size about 3%, currently no position.
CVNA is a trade, mainly riding phase position about 3%, currently holding the remaining 1/3 of the position.
META is a trade, mainly riding phase position: 8-9%, currently holding the remaining 3/4 position.
It is worth noting that both KOLD and CVNA hold small positions of around 3%, but achieve significant returns, demonstrating the significant impact of psychological advantage on trading. Similar low-risk trading returns have profound implications for account growth ❤️.
Despite some trading errors in the first quarter, relying on trading systems, psychological aspects, and the advantage of avoiding noise, the account still has a decent positive growth.
System Advantages:
The probability of winning trades X average profit of winning trades > Probability of losing trades X average loss of losing trades.
Out of 4 variables, only the "average loss of failed trades" has the strongest controllability, which is also the foundation of a successful trading system;
Psychological advantages:
The impact on the "average profit of winning trades" is the most important, with details mainly focusing on protecting profits from advantageous trades that have already been made and riding safely for longer...
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This is the yield curve of the trader's own account.
If you repeatedly summarize and study your past yield curve, you will see your unique strengths and weaknesses; and with the following questions 👇
Is it possible to basically identify the most basic characteristics of the upward trend and adjustment period in the market?
Were you fully involved in trading during the main upward trend?
Were transactions drastically reduced or not traded during periods of market adjustment?
Are there still problems with stock selection?
Is the position the right size?
Is it possible to cut weed in positions too slowly or sell too early/late to big winners?
The most important question after the research isn't to ask yourself “Can I do a better account yield curve?”
Instead, ask “What can I do to have a better account yield curve?”
Below are yield curves for the last two major uptrends, where you can always find areas for improvement to do better in the next uptrend. 🚴🏻
June-July 2023:
November 2023 to March 2024:
Research your past transactions over and over again, learn from them and find improvement plans, and confirm implementing this plan when you make your next transaction. 🚴🏻
Finally: Keep reading 🚴🏻 (The human body needs timely nutritional supplementation; mental and spiritual needs are equally necessary)
If you repeatedly summarize and study your past yield curve, you will see your unique strengths and weaknesses; and with the following questions 👇
Is it possible to basically identify the most basic characteristics of the upward trend and adjustment period in the market?
Were you fully involved in trading during the main upward trend?
Were transactions drastically reduced or not traded during periods of market adjustment?
Are there still problems with stock selection?
Is the position the right size?
Is it possible to cut weed in positions too slowly or sell too early/late to big winners?
The most important question after the research isn't to ask yourself “Can I do a better account yield curve?”
Instead, ask “What can I do to have a better account yield curve?”
Below are yield curves for the last two major uptrends, where you can always find areas for improvement to do better in the next uptrend. 🚴🏻
June-July 2023:
November 2023 to March 2024:
Research your past transactions over and over again, learn from them and find improvement plans, and confirm implementing this plan when you make your next transaction. 🚴🏻
Finally: Keep reading 🚴🏻 (The human body needs timely nutritional supplementation; mental and spiritual needs are equally necessary)
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缠论缠心 103365182 : It's not a rocket, it's impossible, rush! It just went up. I don't think it has fallen through yet