Rida 3520
15.4k Posts
Rida 3520
Binance trader focused on smart entries solid market analysis strong risk control and steady long term profits
2.6K+ Following
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PINNED
#opg $OPG
A days ago I shared my thoughts about Bitcoin and OpenGradient. I thought Bitcoin would go back to $59,000 and then go up again. I also thought OpenGradient would probably go down to $0.12-$0.13 and then stay at $0.18 for a while. When OpenGradient goes over $0.19 the next big target would be $0.28 for OpenGradient.
The few days the market has been doing what I said, which is really surprising. That is why I always say I pay attention to Bitcoin and OpenGradient. I like to watch Bitcoin and OpenGradient all the time because I want to see what Bitcoin and OpenGradient are doing.
I do not think I am right all the time. I have been looking at charts for a time and I have learned how to find the things that are most likely to happen with Bitcoin and OpenGradient. Sometimes I feel like the charts of Bitcoin and OpenGradient are telling me a story. You just need to know how to look at the charts of Bitcoin and OpenGradient. Every day I look at the charts of Bitcoin and OpenGradient.
This is what I think it is not advice on what to do with your money. You should always learn about Bitcoin and OpenGradient on your own. If you are new to cryptocurrency you can look at my posts about Bitcoin and OpenGradient. Compare them to the charts of Bitcoin and OpenGradient. Decide for yourself if my thoughts, about Bitcoin and OpenGradient make sense.@OpenGradient $BTC $SYN
A days ago I shared my thoughts about Bitcoin and OpenGradient. I thought Bitcoin would go back to $59,000 and then go up again. I also thought OpenGradient would probably go down to $0.12-$0.13 and then stay at $0.18 for a while. When OpenGradient goes over $0.19 the next big target would be $0.28 for OpenGradient.
The few days the market has been doing what I said, which is really surprising. That is why I always say I pay attention to Bitcoin and OpenGradient. I like to watch Bitcoin and OpenGradient all the time because I want to see what Bitcoin and OpenGradient are doing.
I do not think I am right all the time. I have been looking at charts for a time and I have learned how to find the things that are most likely to happen with Bitcoin and OpenGradient. Sometimes I feel like the charts of Bitcoin and OpenGradient are telling me a story. You just need to know how to look at the charts of Bitcoin and OpenGradient. Every day I look at the charts of Bitcoin and OpenGradient.
This is what I think it is not advice on what to do with your money. You should always learn about Bitcoin and OpenGradient on your own. If you are new to cryptocurrency you can look at my posts about Bitcoin and OpenGradient. Compare them to the charts of Bitcoin and OpenGradient. Decide for yourself if my thoughts, about Bitcoin and OpenGradient make sense.@OpenGradient $BTC $SYN
PINNED
#opg $OPG
Most technologies don’t die because they stop working. They fail because people lose trust in them long before that. History is full of examples — systems that looked rock-solid until one breach or scandal showed how fragile everything really was. I keep wondering if AI is walking toward the same turning point.
Everyone is obsessed with making AI smarter, faster, and more powerful. But what if that’s not the biggest challenge ahead? As AI starts making decisions in healthcare, finance, research, and even our daily conversations, the real question is becoming: Can we actually trust these interactions?
This is why projects like OpenGradient caught my attention. Not just because of new tech, but because they’re asking a question that’s getting harder to ignore: What does truly secure and trustworthy AI interaction look like when billions of people are using systems they don’t fully understand?
I could be wrong, but I believe the next big battle in AI won’t be won by whoever builds the most intelligent model. It will be won by whoever can build real trust between people, their data, and the machines.
Trust takes forever to build… and vanishes in seconds once broken.@OpenGradient
If that’s true, then the future of AI might depend less on raw intelligence, and more on the architecture that protects every single interaction.$POL $HEI
#What matters most for AI’s future?
Drop your choice + thoughts below 👇
Most technologies don’t die because they stop working. They fail because people lose trust in them long before that. History is full of examples — systems that looked rock-solid until one breach or scandal showed how fragile everything really was. I keep wondering if AI is walking toward the same turning point.
Everyone is obsessed with making AI smarter, faster, and more powerful. But what if that’s not the biggest challenge ahead? As AI starts making decisions in healthcare, finance, research, and even our daily conversations, the real question is becoming: Can we actually trust these interactions?
This is why projects like OpenGradient caught my attention. Not just because of new tech, but because they’re asking a question that’s getting harder to ignore: What does truly secure and trustworthy AI interaction look like when billions of people are using systems they don’t fully understand?
I could be wrong, but I believe the next big battle in AI won’t be won by whoever builds the most intelligent model. It will be won by whoever can build real trust between people, their data, and the machines.
Trust takes forever to build… and vanishes in seconds once broken.@OpenGradient
If that’s true, then the future of AI might depend less on raw intelligence, and more on the architecture that protects every single interaction.$POL $HEI
#What matters most for AI’s future?
Drop your choice + thoughts below 👇
A) More Powerful Models
64%
B) Better Trust & Security
30%
C) Faster & Cheaper AI
2%
D) Wider Accessibility
4%
50 votes • Voting closed
$OPG what i told you about @OpenGradient . he is doing exactly that i predict .. check below 👇👇👇👇👇👇
about next move of $OPG $BTC
about next move of $OPG $BTC
Rida 3520
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Bullish#opg $OPG
The chart is moving exactly the way I predicted earlier. I’ve already booked some profits, and InshaAllah I’ll continue taking profits as the move develops. I told you before that OpenGradient could reach $0.28 ✅, and if you’ve seen my previous posts, you probably have an idea of why I’m targeting that level.
So, what do you think? Can it hit $0.28 in the coming days or not? Be sure to share your opinion.
My earlier prediction has been playing out almost perfectly so far. If the chart continues moving in the same direction, I could make somewhere between $1,486 and $2,000 in profit. What do you think about that return? For me, it represents the result of 10 days of research, patience, and effort.
I’d also love to hear about your own trading journey. What’s the biggest profit or loss you’ve experienced so far? Feel free to share your experience and thoughts@OpenGradient #trumpcancelshousingbillwithcbdcban
The chart is moving exactly the way I predicted earlier. I’ve already booked some profits, and InshaAllah I’ll continue taking profits as the move develops. I told you before that OpenGradient could reach $0.28 ✅, and if you’ve seen my previous posts, you probably have an idea of why I’m targeting that level.
So, what do you think? Can it hit $0.28 in the coming days or not? Be sure to share your opinion.
My earlier prediction has been playing out almost perfectly so far. If the chart continues moving in the same direction, I could make somewhere between $1,486 and $2,000 in profit. What do you think about that return? For me, it represents the result of 10 days of research, patience, and effort.
I’d also love to hear about your own trading journey. What’s the biggest profit or loss you’ve experienced so far? Feel free to share your experience and thoughts@OpenGradient #trumpcancelshousingbillwithcbdcban
$$POL $OPG
🚀 Short Setup for POLUSDT (Perp) 🚀
Trade Details:
Entry: 0.0700 - 0.0710 (current area / minor bounce) 📍
Take Profit (TP):
TP1: 0.0682 (recent low) ✅
TP2: 0.0650 💰
Stop Loss (SL): 0.0735 (above recent swing high) ❌
Risk-Reward: ~1:2+ 🔥
Why this trade?
The chart shows a strong bearish downtrend 📉 with a sharp drop from 0.0823. Price keeps making lower highs and is currently rejecting near the bottom. Heavy red candles + bearish momentum make this a solid continuation short on breakdown.
Enter on failed bounce or clean break below 0.070. Tight risk as always in crypto!
DYOR & Trade responsibly ⚠️
Let's ride this one down! 🚀📉💸
🚀 Short Setup for POLUSDT (Perp) 🚀
Trade Details:
Entry: 0.0700 - 0.0710 (current area / minor bounce) 📍
Take Profit (TP):
TP1: 0.0682 (recent low) ✅
TP2: 0.0650 💰
Stop Loss (SL): 0.0735 (above recent swing high) ❌
Risk-Reward: ~1:2+ 🔥
Why this trade?
The chart shows a strong bearish downtrend 📉 with a sharp drop from 0.0823. Price keeps making lower highs and is currently rejecting near the bottom. Heavy red candles + bearish momentum make this a solid continuation short on breakdown.
Enter on failed bounce or clean break below 0.070. Tight risk as always in crypto!
DYOR & Trade responsibly ⚠️
Let's ride this one down! 🚀📉💸
#opg $OPG
The chart is moving exactly the way I predicted earlier. I’ve already booked some profits, and InshaAllah I’ll continue taking profits as the move develops. I told you before that OpenGradient could reach $0.28 ✅, and if you’ve seen my previous posts, you probably have an idea of why I’m targeting that level.
So, what do you think? Can it hit $0.28 in the coming days or not? Be sure to share your opinion.
My earlier prediction has been playing out almost perfectly so far. If the chart continues moving in the same direction, I could make somewhere between $1,486 and $2,000 in profit. What do you think about that return? For me, it represents the result of 10 days of research, patience, and effort.
I’d also love to hear about your own trading journey. What’s the biggest profit or loss you’ve experienced so far? Feel free to share your experience and thoughts@OpenGradient #trumpcancelshousingbillwithcbdcban
The chart is moving exactly the way I predicted earlier. I’ve already booked some profits, and InshaAllah I’ll continue taking profits as the move develops. I told you before that OpenGradient could reach $0.28 ✅, and if you’ve seen my previous posts, you probably have an idea of why I’m targeting that level.
So, what do you think? Can it hit $0.28 in the coming days or not? Be sure to share your opinion.
My earlier prediction has been playing out almost perfectly so far. If the chart continues moving in the same direction, I could make somewhere between $1,486 and $2,000 in profit. What do you think about that return? For me, it represents the result of 10 days of research, patience, and effort.
I’d also love to hear about your own trading journey. What’s the biggest profit or loss you’ve experienced so far? Feel free to share your experience and thoughts@OpenGradient #trumpcancelshousingbillwithcbdcban
$OPG
OPG is starting to move exactly how I expected. 👀🔥
If you missed my first analysis, go check my pinned post — I shared the full setup there. 📌
This momentum is getting interesting, and the next move could be important.
DYOR always. #BinanceSquareTalks #Crypto #altcoins
OPG is starting to move exactly how I expected. 👀🔥
If you missed my first analysis, go check my pinned post — I shared the full setup there. 📌
This momentum is getting interesting, and the next move could be important.
DYOR always. #BinanceSquareTalks #Crypto #altcoins
#opg $OPG
A decades ago people trusted banks and financial institutions because they did not know what was going on behind the scenes. They just had to trust them. I think about how similar this feels today with Artificial Intelligence or AI.
People assume that being smart or intelligent is enough to make AI valuable. If a system gives us answers most people do not care how it came up with those answers.. What happens when AI makes decisions that affect our money the information we get and what we think about things? Just being good at giving answers might not be enough.
I might be wrong. I worry that systems we do not understand can create hidden problems that get worse over time. When people use tools they trust they change how they behave.. If that trust is based on not knowing how something works it can be weak. One unexpected result can make people ask questions they do not know how to answer. Why did the AI do that? What did it base its answer on? Who gains when nobody understands what is happening?
This is why projects like OpenGradient interest me. It is not that being open and honest guarantees results. It is that it changes what motivates people. When people can see what is happening it is harder to avoid being responsible.
The bigger question might not be if AI can get more powerful. It probably will. The question is if the useful AI systems, in the future will be the ones that know the most or the ones that let people understand enough to trust them.@OpenGradient
#trumpcancelshousingbillwithcbdcban
A decades ago people trusted banks and financial institutions because they did not know what was going on behind the scenes. They just had to trust them. I think about how similar this feels today with Artificial Intelligence or AI.
People assume that being smart or intelligent is enough to make AI valuable. If a system gives us answers most people do not care how it came up with those answers.. What happens when AI makes decisions that affect our money the information we get and what we think about things? Just being good at giving answers might not be enough.
I might be wrong. I worry that systems we do not understand can create hidden problems that get worse over time. When people use tools they trust they change how they behave.. If that trust is based on not knowing how something works it can be weak. One unexpected result can make people ask questions they do not know how to answer. Why did the AI do that? What did it base its answer on? Who gains when nobody understands what is happening?
This is why projects like OpenGradient interest me. It is not that being open and honest guarantees results. It is that it changes what motivates people. When people can see what is happening it is harder to avoid being responsible.
The bigger question might not be if AI can get more powerful. It probably will. The question is if the useful AI systems, in the future will be the ones that know the most or the ones that let people understand enough to trust them.@OpenGradient
#trumpcancelshousingbillwithcbdcban
$BTC $ETH
The market feels heavy today. Bitcoin and Ethereum are holding key levels, but most assets are trading in the red, showing a clear risk-off sentiment. Moments like these often test traders more than charts do. Fear spreads fast when prices fall, yet some of the best opportunities appear during uncertainty. Instead of chasing every move, I'm focusing on strong support zones, volume behavior, and capital preservation. Corrections are a natural part of every market cycle. Patience, discipline, and risk management matter far more than emotions when volatility takes control. 📉🚀 #Crypto #Bitcoin #TradingView #MarketAnalysis $POL
The market feels heavy today. Bitcoin and Ethereum are holding key levels, but most assets are trading in the red, showing a clear risk-off sentiment. Moments like these often test traders more than charts do. Fear spreads fast when prices fall, yet some of the best opportunities appear during uncertainty. Instead of chasing every move, I'm focusing on strong support zones, volume behavior, and capital preservation. Corrections are a natural part of every market cycle. Patience, discipline, and risk management matter far more than emotions when volatility takes control. 📉🚀 #Crypto #Bitcoin #TradingView #MarketAnalysis $POL
#opg $OPG
🚀 Ever since the OpenGradient campaign started, I’ve been spending a lot of time studying its charts. When I noticed some unusual price action, I shared it with my girlfriend, who has been involved in crypto for the past 8 years. After doing her own deep chart analysis, she told me that OPG had the potential to revisit its previous high around $0.52. 📈
At that time, I had already analyzed the project myself and bought in around $0.14. Today, the price is trading near $0.18. Based on what I’m seeing, I believe there’s a strong possibility that OPG could reach $0.28 in the coming days, followed by a small pullback before making another major move upward. 🔥
Of course, this is just my personal analysis and opinion—always do your own research (DYOR). 🧐 If you check my profile, you'll see that I always try to share insights that might help others make better decisions. My goal is simple: to contribute in a way that helps more people move closer to financial freedom. 💙💰@OpenGradient
🚀 Ever since the OpenGradient campaign started, I’ve been spending a lot of time studying its charts. When I noticed some unusual price action, I shared it with my girlfriend, who has been involved in crypto for the past 8 years. After doing her own deep chart analysis, she told me that OPG had the potential to revisit its previous high around $0.52. 📈
At that time, I had already analyzed the project myself and bought in around $0.14. Today, the price is trading near $0.18. Based on what I’m seeing, I believe there’s a strong possibility that OPG could reach $0.28 in the coming days, followed by a small pullback before making another major move upward. 🔥
Of course, this is just my personal analysis and opinion—always do your own research (DYOR). 🧐 If you check my profile, you'll see that I always try to share insights that might help others make better decisions. My goal is simple: to contribute in a way that helps more people move closer to financial freedom. 💙💰@OpenGradient
#opg $OPG
We’re currently at 0.1589, down 1.55% in the last 24 hours. The chart screams classic violent pump followed by a nasty rejection and clean sell-off. We had a sharp spike, got rejected hard, and are now in full corrective mode digesting that move.
Key levels I’m watching:
Resistance: 0.1675–0.1680 (SAR + recent highs). Super Trend sits at 0.1763. A volume-backed break above 0.17 would be the first real bullish trigger.
Support: 0.1500 is critical. A break below opens the path to retest the recent low at 0.1412, which should hold as solid defense.
Indicators are neutral. RSI(6) around 50 shows balanced conditions, while MACD is slightly negative with no strong momentum either way. The structure remains corrective after the blow-off top.
Next 15 days outlook: Expect choppy, range-bound trading between 0.15 and 0.165 as the most probable scenario. It could easily grind in this zone unless fresh news or Bitcoin momentum shakes things up.
Bull case: Bulls push to retest 0.167–0.17. Clearing that targets 0.18+.
Bear case: Sellers take over, break 0.15, and drive price back to 0.141–0.145.
This is a typical high-vol AI token — moves fast on sentiment and flows. No clear direction right now, so patience is key while waiting for a decisive break.
Trade small, keep tight stops, and don’t get attached. Not financial advice — just my chart read. DYOR and manage risk@OpenGradient $SYN $STG
We’re currently at 0.1589, down 1.55% in the last 24 hours. The chart screams classic violent pump followed by a nasty rejection and clean sell-off. We had a sharp spike, got rejected hard, and are now in full corrective mode digesting that move.
Key levels I’m watching:
Resistance: 0.1675–0.1680 (SAR + recent highs). Super Trend sits at 0.1763. A volume-backed break above 0.17 would be the first real bullish trigger.
Support: 0.1500 is critical. A break below opens the path to retest the recent low at 0.1412, which should hold as solid defense.
Indicators are neutral. RSI(6) around 50 shows balanced conditions, while MACD is slightly negative with no strong momentum either way. The structure remains corrective after the blow-off top.
Next 15 days outlook: Expect choppy, range-bound trading between 0.15 and 0.165 as the most probable scenario. It could easily grind in this zone unless fresh news or Bitcoin momentum shakes things up.
Bull case: Bulls push to retest 0.167–0.17. Clearing that targets 0.18+.
Bear case: Sellers take over, break 0.15, and drive price back to 0.141–0.145.
This is a typical high-vol AI token — moves fast on sentiment and flows. No clear direction right now, so patience is key while waiting for a decisive break.
Trade small, keep tight stops, and don’t get attached. Not financial advice — just my chart read. DYOR and manage risk@OpenGradient $SYN $STG
$OPG in below my Analysis about @OpenGradient in coming day's it will touch 0.52 . check below price and peridcution.🚀
Rida 3520
·
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Bearish#opg $OPG
I keep thinking about how infrastructure becomes invisible right before it becomes essential.
I mean think about Artificial Intelligence infrastructure it is like the electricity that people use every day. Most people never think about Artificial Intelligence infrastructure when they use Artificial Intelligence. They only think about Artificial Intelligence infrastructure when the Artificial Intelligence system fails.
The same thing is happening with Artificial Intelligence. Today most conversations focus on Artificial Intelligence model intelligence, speed and capabilities.. People do not think about the Artificial Intelligence infrastructure underneath.
That makes me wonder whether we are repeating an idea: that being efficient is always more important than being in control.
I think about companies that have Artificial Intelligence infrastructure. These big companies often win because they are simpler, cheaper and easier to coordinate.. History shows that when a few big companies control everything they create their own problems. When critical Artificial Intelligence infrastructure becomes dependent on a number of big companies the real question is not what happens when everything works. The question is what happens when these big companies want things.
This is why I find decentralized Artificial Intelligence infrastructure really interesting. Not because decentralized Artificial Intelligence infrastructure is automatically better. Because it changes who has power. It introduces problems, work and many people owning resources. Those things can look like a waste of time in the term but they make the system stronger in the long term.
Maybe I am wrong. The future debate around Artificial Intelligence may not be about which Artificial Intelligence model is the smartest. It may be about who controls access to Artificial Intelligence, who makes the rules for Artificial Intelligence, who owns the data that Artificial Intelligence uses and who has the ability to opt out of Artificial Intelligence.@OpenGradient $BICO $SYN
I keep thinking about how infrastructure becomes invisible right before it becomes essential.
I mean think about Artificial Intelligence infrastructure it is like the electricity that people use every day. Most people never think about Artificial Intelligence infrastructure when they use Artificial Intelligence. They only think about Artificial Intelligence infrastructure when the Artificial Intelligence system fails.
The same thing is happening with Artificial Intelligence. Today most conversations focus on Artificial Intelligence model intelligence, speed and capabilities.. People do not think about the Artificial Intelligence infrastructure underneath.
That makes me wonder whether we are repeating an idea: that being efficient is always more important than being in control.
I think about companies that have Artificial Intelligence infrastructure. These big companies often win because they are simpler, cheaper and easier to coordinate.. History shows that when a few big companies control everything they create their own problems. When critical Artificial Intelligence infrastructure becomes dependent on a number of big companies the real question is not what happens when everything works. The question is what happens when these big companies want things.
This is why I find decentralized Artificial Intelligence infrastructure really interesting. Not because decentralized Artificial Intelligence infrastructure is automatically better. Because it changes who has power. It introduces problems, work and many people owning resources. Those things can look like a waste of time in the term but they make the system stronger in the long term.
Maybe I am wrong. The future debate around Artificial Intelligence may not be about which Artificial Intelligence model is the smartest. It may be about who controls access to Artificial Intelligence, who makes the rules for Artificial Intelligence, who owns the data that Artificial Intelligence uses and who has the ability to opt out of Artificial Intelligence.@OpenGradient $BICO $SYN
Hhhaaaaa its very long day but i got little profit ✅. if you check my pin post carefully i told you about this move.🚀 i don't know you booked profit or not but in my chat room some of my friends booked there profits 🍷@OpenGradient $OPG
Rida 3520
·
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Bearish#opg $OPG
I keep thinking about how infrastructure becomes invisible right before it becomes essential.
I mean think about Artificial Intelligence infrastructure it is like the electricity that people use every day. Most people never think about Artificial Intelligence infrastructure when they use Artificial Intelligence. They only think about Artificial Intelligence infrastructure when the Artificial Intelligence system fails.
The same thing is happening with Artificial Intelligence. Today most conversations focus on Artificial Intelligence model intelligence, speed and capabilities.. People do not think about the Artificial Intelligence infrastructure underneath.
That makes me wonder whether we are repeating an idea: that being efficient is always more important than being in control.
I think about companies that have Artificial Intelligence infrastructure. These big companies often win because they are simpler, cheaper and easier to coordinate.. History shows that when a few big companies control everything they create their own problems. When critical Artificial Intelligence infrastructure becomes dependent on a number of big companies the real question is not what happens when everything works. The question is what happens when these big companies want things.
This is why I find decentralized Artificial Intelligence infrastructure really interesting. Not because decentralized Artificial Intelligence infrastructure is automatically better. Because it changes who has power. It introduces problems, work and many people owning resources. Those things can look like a waste of time in the term but they make the system stronger in the long term.
Maybe I am wrong. The future debate around Artificial Intelligence may not be about which Artificial Intelligence model is the smartest. It may be about who controls access to Artificial Intelligence, who makes the rules for Artificial Intelligence, who owns the data that Artificial Intelligence uses and who has the ability to opt out of Artificial Intelligence.@OpenGradient $BICO $SYN
I keep thinking about how infrastructure becomes invisible right before it becomes essential.
I mean think about Artificial Intelligence infrastructure it is like the electricity that people use every day. Most people never think about Artificial Intelligence infrastructure when they use Artificial Intelligence. They only think about Artificial Intelligence infrastructure when the Artificial Intelligence system fails.
The same thing is happening with Artificial Intelligence. Today most conversations focus on Artificial Intelligence model intelligence, speed and capabilities.. People do not think about the Artificial Intelligence infrastructure underneath.
That makes me wonder whether we are repeating an idea: that being efficient is always more important than being in control.
I think about companies that have Artificial Intelligence infrastructure. These big companies often win because they are simpler, cheaper and easier to coordinate.. History shows that when a few big companies control everything they create their own problems. When critical Artificial Intelligence infrastructure becomes dependent on a number of big companies the real question is not what happens when everything works. The question is what happens when these big companies want things.
This is why I find decentralized Artificial Intelligence infrastructure really interesting. Not because decentralized Artificial Intelligence infrastructure is automatically better. Because it changes who has power. It introduces problems, work and many people owning resources. Those things can look like a waste of time in the term but they make the system stronger in the long term.
Maybe I am wrong. The future debate around Artificial Intelligence may not be about which Artificial Intelligence model is the smartest. It may be about who controls access to Artificial Intelligence, who makes the rules for Artificial Intelligence, who owns the data that Artificial Intelligence uses and who has the ability to opt out of Artificial Intelligence.@OpenGradient $BICO $SYN
$TNSR $BOME
Where are those ignorant people who keep posting against me just to bring me down, claiming I give wrong trades? 😂
You all can keep talking... Meanwhile, I’ll keep making profits myself and guiding my followers to win too.
My vision is financial freedom for everyone 💰✨
Thank you to all who love me and trust me — your support means everything ❤️🙏'
Where are those ignorant people who keep posting against me just to bring me down, claiming I give wrong trades? 😂
You all can keep talking... Meanwhile, I’ll keep making profits myself and guiding my followers to win too.
My vision is financial freedom for everyone 💰✨
Thank you to all who love me and trust me — your support means everything ❤️🙏'
$ESPORTS
This is a daily candle 🕯️ chart. I don’t know how you guys read these candles, but I’ve been in crypto for 1.3 years and have analyzed as many charts as I could. I’m telling you that this one is about to fly (go up sharply). I’ve marked it with 2 white circles.
If you want to know more about this in depth or have any questions, join my chat room or comment below.$TNSR $BOME
This is a daily candle 🕯️ chart. I don’t know how you guys read these candles, but I’ve been in crypto for 1.3 years and have analyzed as many charts as I could. I’m telling you that this one is about to fly (go up sharply). I’ve marked it with 2 white circles.
If you want to know more about this in depth or have any questions, join my chat room or comment below.$TNSR $BOME
$XRP
this chart telling me a massive down .. it is your turn to earn profits . don't tell me i didn't inform you about this move.. #DYR
$BOME $RESOLV
this chart telling me a massive down .. it is your turn to earn profits . don't tell me i didn't inform you about this move.. #DYR
$BOME $RESOLV
$BOME $RESOLV $C
Recommended Short Trade Setup
Entry: Market short at ~0.09183 (current) or limit near 0.09190–0.09200 on a small pullback to the Supertrend.
Stop Loss (SL): 0.09250 (above recent swing high + Supertrend buffer). Risk ~0.7% from entry.
Take Profit (TP):
TP1: 0.09100 (quick scalp, ~0.9% reward)
TP2: 0.09040 (24h low area, ~1.6% reward)
Partial profits recommended (e.g., close 50% at TP1).
Recommended Short Trade Setup
Entry: Market short at ~0.09183 (current) or limit near 0.09190–0.09200 on a small pullback to the Supertrend.
Stop Loss (SL): 0.09250 (above recent swing high + Supertrend buffer). Risk ~0.7% from entry.
Take Profit (TP):
TP1: 0.09100 (quick scalp, ~0.9% reward)
TP2: 0.09040 (24h low area, ~1.6% reward)
Partial profits recommended (e.g., close 50% at TP1).
#opg $OPG
I keep thinking about how infrastructure becomes invisible right before it becomes essential.
I mean think about Artificial Intelligence infrastructure it is like the electricity that people use every day. Most people never think about Artificial Intelligence infrastructure when they use Artificial Intelligence. They only think about Artificial Intelligence infrastructure when the Artificial Intelligence system fails.
The same thing is happening with Artificial Intelligence. Today most conversations focus on Artificial Intelligence model intelligence, speed and capabilities.. People do not think about the Artificial Intelligence infrastructure underneath.
That makes me wonder whether we are repeating an idea: that being efficient is always more important than being in control.
I think about companies that have Artificial Intelligence infrastructure. These big companies often win because they are simpler, cheaper and easier to coordinate.. History shows that when a few big companies control everything they create their own problems. When critical Artificial Intelligence infrastructure becomes dependent on a number of big companies the real question is not what happens when everything works. The question is what happens when these big companies want things.
This is why I find decentralized Artificial Intelligence infrastructure really interesting. Not because decentralized Artificial Intelligence infrastructure is automatically better. Because it changes who has power. It introduces problems, work and many people owning resources. Those things can look like a waste of time in the term but they make the system stronger in the long term.
Maybe I am wrong. The future debate around Artificial Intelligence may not be about which Artificial Intelligence model is the smartest. It may be about who controls access to Artificial Intelligence, who makes the rules for Artificial Intelligence, who owns the data that Artificial Intelligence uses and who has the ability to opt out of Artificial Intelligence.@OpenGradient $BICO $SYN
I keep thinking about how infrastructure becomes invisible right before it becomes essential.
I mean think about Artificial Intelligence infrastructure it is like the electricity that people use every day. Most people never think about Artificial Intelligence infrastructure when they use Artificial Intelligence. They only think about Artificial Intelligence infrastructure when the Artificial Intelligence system fails.
The same thing is happening with Artificial Intelligence. Today most conversations focus on Artificial Intelligence model intelligence, speed and capabilities.. People do not think about the Artificial Intelligence infrastructure underneath.
That makes me wonder whether we are repeating an idea: that being efficient is always more important than being in control.
I think about companies that have Artificial Intelligence infrastructure. These big companies often win because they are simpler, cheaper and easier to coordinate.. History shows that when a few big companies control everything they create their own problems. When critical Artificial Intelligence infrastructure becomes dependent on a number of big companies the real question is not what happens when everything works. The question is what happens when these big companies want things.
This is why I find decentralized Artificial Intelligence infrastructure really interesting. Not because decentralized Artificial Intelligence infrastructure is automatically better. Because it changes who has power. It introduces problems, work and many people owning resources. Those things can look like a waste of time in the term but they make the system stronger in the long term.
Maybe I am wrong. The future debate around Artificial Intelligence may not be about which Artificial Intelligence model is the smartest. It may be about who controls access to Artificial Intelligence, who makes the rules for Artificial Intelligence, who owns the data that Artificial Intelligence uses and who has the ability to opt out of Artificial Intelligence.@OpenGradient $BICO $SYN
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