Bull Bull 1
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Holding for 3.75
Sure Bet Complete
Second Stage begins
Pain staking searches will always produce results. Patience is a virtue. Combining both makes for powerful decision-making
1. My strategy is to find an item that has immediate results in order to sell and recuperate the initial investment by selling 50% of the initial shares purchased. (SureBet!)
2. Leaving the remaining 50% to hit as a limit sale at the obnoxious goal minus 20% for a safer bet. (Long-Te...
Sure Bet Complete
Second Stage begins
Pain staking searches will always produce results. Patience is a virtue. Combining both makes for powerful decision-making
1. My strategy is to find an item that has immediate results in order to sell and recuperate the initial investment by selling 50% of the initial shares purchased. (SureBet!)
2. Leaving the remaining 50% to hit as a limit sale at the obnoxious goal minus 20% for a safer bet. (Long-Te...
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Bull Bull 1
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$Palo Alto Networks (PANW.US)$ will be reporting their earnings results for fiscal Q2 2025 today (13 Feb) after the market close.
The consensus revenue that analysts are expecting would be at $2.24 billion which represent a growth of 13.3% but this is lower than the 19.3% growth that was recorded for the same period last year.
The earnings per share is estimated to come in at $0.78 per share.
Palo Alto Networks (PANW) Last Positive Earnings Call Only ...
The consensus revenue that analysts are expecting would be at $2.24 billion which represent a growth of 13.3% but this is lower than the 19.3% growth that was recorded for the same period last year.
The earnings per share is estimated to come in at $0.78 per share.
Palo Alto Networks (PANW) Last Positive Earnings Call Only ...
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Bull Bull 1
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Bull Bull 1
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$Advanced Micro Devices (AMD.US)$
let me summarise being stucked for more than close to 3 months. so previous earnings was only missed mid value of guidance and down on gaming revenue. so the stock tanked from 167 all the way to 119 before earnings. NO REBOUND AT ALL in a bullish environment mind u...
to this purple line of 112 why is it so important. because it was the previous final defence before earnings which acted as a decent support level. now that it becomes a resistance. failing to brea...
let me summarise being stucked for more than close to 3 months. so previous earnings was only missed mid value of guidance and down on gaming revenue. so the stock tanked from 167 all the way to 119 before earnings. NO REBOUND AT ALL in a bullish environment mind u...
to this purple line of 112 why is it so important. because it was the previous final defence before earnings which acted as a decent support level. now that it becomes a resistance. failing to brea...
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Bull Bull 1
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Bull Bull 1
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$NVIDIA (NVDA.US)$
Content:
Order blocks are key price zones where institutional traders place large buy or sell orders, creating strong support or resistance levels. These areas often signal high-probability trade setups as price tends to revisit them before continuing its trend.
Steps:
1. Identify Order Blocks – Look for areas where price consolidates before a strong move (bullish or bearish).
2. Mark the Last Bullish/Bearish Candle – In a downtrend, t...
Content:
Order blocks are key price zones where institutional traders place large buy or sell orders, creating strong support or resistance levels. These areas often signal high-probability trade setups as price tends to revisit them before continuing its trend.
Steps:
1. Identify Order Blocks – Look for areas where price consolidates before a strong move (bullish or bearish).
2. Mark the Last Bullish/Bearish Candle – In a downtrend, t...
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Bull Bull 1
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$NVIDIA (NVDA.US)$1. Model Scale & Training Compute Needs
Aspect
DeepSeek
ChatGPT (OpenAI)
Core Model Size
~100B parameters (e.g., DeepSeek-MoE-16B)
~1.8T parameters (GPT-4)
Training GPU Demand
5,000–10,000 A100/H100 GPUs (per training cycle)
~25,000 A100 GPUs (GPT-4 training)
Training Cost
Tens of millions of USD
Over $100 million (GPT-4)
Iteration Speed
6–12 months (resource-constrained)
3–6 months (Microsoft Azure infrastructure)
Key Differences:
OpenAI’s models are 5–10x larger, requiring sig...
Aspect
DeepSeek
ChatGPT (OpenAI)
Core Model Size
~100B parameters (e.g., DeepSeek-MoE-16B)
~1.8T parameters (GPT-4)
Training GPU Demand
5,000–10,000 A100/H100 GPUs (per training cycle)
~25,000 A100 GPUs (GPT-4 training)
Training Cost
Tens of millions of USD
Over $100 million (GPT-4)
Iteration Speed
6–12 months (resource-constrained)
3–6 months (Microsoft Azure infrastructure)
Key Differences:
OpenAI’s models are 5–10x larger, requiring sig...
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Bull Bull 1
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