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LumosX100
134 Δημοσιεύσεις

LumosX100

"We simply attempt to be fearful when others are greedy and to be greedy only when others are fearful."
20 Ακολούθηση
217 Ακόλουθοι
325 Μου αρέσει
Δημοσιεύσεις
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#WLD $WLD LONG TRADE ENTRY: 0.4705 TARGET: 0.606 STOPLOSS: 0.4485
#WLD $WLD LONG TRADE

ENTRY: 0.4705

TARGET: 0.606

STOPLOSS: 0.4485
#ETH $ETH Today's plan A short-term recovery structure is starting to take shape. Expecting a minor pullback before the market continues its recovery toward higher levels.
#ETH $ETH

Today's plan

A short-term recovery structure is starting to take shape. Expecting a minor pullback before the market continues its recovery toward higher levels.
$VELVET 170% profit done, guys... 3rd target completed. It's time to set the stop-loss at TP2 ✅ Enjoy the ride 😉
$VELVET 170% profit done, guys... 3rd target completed. It's time to set the stop-loss at TP2 ✅

Enjoy the ride 😉
LumosX100
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Ανατιμητική
#Velvet $VELVET HEALTHY PULLBACK LONG

LONG

ENTRY: 0.1740 – 0.1620 – 0.1500

TARGETS: 0.18200, 0.19500, 0.2100, 0.2400, 0.300, 0.400, 0.5000

LEVERAGE: 10x

STOPLOSS: 0.1430
LumosX100
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$ETH key level here

Break below that level and we will be heading to 600$ but up for now as long we hold
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Ανατιμητική
#Velvet $VELVET HEALTHY PULLBACK LONG LONG ENTRY: 0.1740 – 0.1620 – 0.1500 TARGETS: 0.18200, 0.19500, 0.2100, 0.2400, 0.300, 0.400, 0.5000 LEVERAGE: 10x STOPLOSS: 0.1430
#Velvet $VELVET HEALTHY PULLBACK LONG

LONG

ENTRY: 0.1740 – 0.1620 – 0.1500

TARGETS: 0.18200, 0.19500, 0.2100, 0.2400, 0.300, 0.400, 0.5000

LEVERAGE: 10x

STOPLOSS: 0.1430
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Ανατιμητική
#beat $BEAT PARABOLIC BREAKOUT LONG LONG ENTRY: 1.7500 – 1.6500 – 1.5000 TARGETS: 1.82, 1.9, 2.1, 2.30, 2.64, 3 , 4 , 5 LEVERAGE: 10x STOPLOSS: 1.40
#beat $BEAT PARABOLIC BREAKOUT LONG

LONG

ENTRY: 1.7500 – 1.6500 – 1.5000

TARGETS: 1.82, 1.9, 2.1, 2.30, 2.64, 3 , 4 , 5

LEVERAGE: 10x

STOPLOSS: 1.40
$ETH key level here Break below that level and we will be heading to 600$ but up for now as long we hold
$ETH key level here

Break below that level and we will be heading to 600$ but up for now as long we hold
The price structure is showing several similarities: a strong rally, followed by an extended correction and a shift in market sentiment toward fear. Of course, history never repeats itself exactly. But it often rhymes. 🔥
The price structure is showing several similarities: a strong rally, followed by an extended correction and a shift in market sentiment toward fear.

Of course, history never repeats itself exactly.
But it often rhymes. 🔥
#ENA $ENA did 1R up from our average entry around 0.0885 after all orders filled and now its still in profit Will be closing it if it at breakeven if it gets back to 0.0885 Tp1 around 0.093
#ENA $ENA did 1R up from our average entry around 0.0885 after all orders filled and now its still in profit

Will be closing it if it at breakeven if it gets back to 0.0885

Tp1 around 0.093
LumosX100
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#ENA $ENA LIMIT LONG TRADE

ENTRY: 0.0897 - 0.087

TARGET: 0.108

STOPLOSS: 0.08515
#ENA $ENA LIMIT LONG TRADE ENTRY: 0.0897 - 0.087 TARGET: 0.108 STOPLOSS: 0.08515
#ENA $ENA LIMIT LONG TRADE

ENTRY: 0.0897 - 0.087

TARGET: 0.108

STOPLOSS: 0.08515
Looking at this NVDA 4H setup, the price is currently sitting right at a massive make-or-break pivot point. We are hovering at $215.80, practically wrestling with the 4H MA(200) purple line, while the short-term moving averages are compressing tightly. RSI is sitting neutral at 46.45, and MACD is flattening out just below the zero line. In crypto, when a major market leader consolidates directly on its 4H 200-period moving average like this, it’s usually a ticking time bomb before a violent expansion move. For the seasoned equity swing traders here: how much structural weight does the 4H MA(200) actually hold for institutional algorithms in the US stock market? Are you looking at this current compression as a high-probability loading zone for a bounce back toward $230, or does a lack of immediate macro catalysts mean we're bound to break below the $208 local support first? Would love to hear how you guys manage risk on these specific index-heavy tech setups. #MyStocksQuestion #NVDA #TechnicalAnalysis #swingtrading #chartpatterns
Looking at this NVDA 4H setup, the price is currently sitting right at a massive make-or-break pivot point. We are hovering at $215.80, practically wrestling with the 4H MA(200) purple line, while the short-term moving averages are compressing tightly. RSI is sitting neutral at 46.45, and MACD is flattening out just below the zero line.

In crypto, when a major market leader consolidates directly on its 4H 200-period moving average like this, it’s usually a ticking time bomb before a violent expansion move.

For the seasoned equity swing traders here: how much structural weight does the 4H MA(200) actually hold for institutional algorithms in the US stock market? Are you looking at this current compression as a high-probability loading zone for a bounce back toward $230, or does a lack of immediate macro catalysts mean we're bound to break below the $208 local support first? Would love to hear how you guys manage risk on these specific index-heavy tech setups.

#MyStocksQuestion #NVDA #TechnicalAnalysis #swingtrading #chartpatterns
🚨 Strong Whale Accumulation on $AWE ! A wallet has just accumulated 79.62 million $AWE tokens — worth approximately $4.46 million USD — at an average entry around $0.0557. Wallet: 0xB498Fe1bBcBc3320df02Eed3cF35d90f9C68d380 Since this whale started loading up, $AWE has formed a relatively strong support zone around this area. Smart money appears to be stepping in with conviction. What do you think — is this the base for the next leg up? 👀 #AWE #WhaleAlert #CryptoAccumulation #Altcoins #BinanceSquare
🚨 Strong Whale Accumulation on $AWE !

A wallet has just accumulated 79.62 million $AWE tokens — worth approximately $4.46 million USD — at an average entry around $0.0557.

Wallet:
0xB498Fe1bBcBc3320df02Eed3cF35d90f9C68d380

Since this whale started loading up, $AWE has formed a relatively strong support zone around this area. Smart money appears to be stepping in with conviction.

What do you think — is this the base for the next leg up? 👀

#AWE #WhaleAlert #CryptoAccumulation #Altcoins #BinanceSquare
I guess my $ZEC idea was right
I guess my $ZEC idea was right
LumosX100
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Υποτιμητική
#ZEC $ZEC Down full TP
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Υποτιμητική
LumosX100
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#zec $ZEC SHORT TRADE

ENTRY: 525.2

TARGETS: 510.8 - 4815

STOPLOSS: 542.5
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Υποτιμητική
#ENA $ENA SHORT TRADE ENTRY: 0.0908 TARGET: 0.0809 STOPLOSS: 0.09485
#ENA $ENA SHORT TRADE

ENTRY: 0.0908

TARGET: 0.0809

STOPLOSS: 0.09485
As someone deeply embedded in the tech and crypto ecosystem, my trading framework has always revolved around high-volatility setups and fast-moving sector narratives. Naturally, with Binance launching US stocks, I’m looking to allocate capital into the ongoing AI expansion—specifically deciding between concentrated plays like $NVDA or broad tech ETFs. The structural difference is what's tripping me up. Individual AI stocks offer massive asymmetric upside but carry heavy single-company risk, especially with volatile quarterly earnings. On the flip side, tech ETFs feel safer for a multi-year horizon, but I worry about dilution from underperforming sectors. For the experienced macro traders here: when playing a massive secular trend like Artificial Intelligence, do you prefer stock-picking the clear market leaders, or do you strictly rely on sector ETFs to manage the downside? How has your approach to handling tech sector drawdowns changed over time? #MyStocksQuestion #USStocks #ETFs #AITech #investingstrategy
As someone deeply embedded in the tech and crypto ecosystem, my trading framework has always revolved around high-volatility setups and fast-moving sector narratives. Naturally, with Binance launching US stocks, I’m looking to allocate capital into the ongoing AI expansion—specifically deciding between concentrated plays like $NVDA or broad tech ETFs.

The structural difference is what's tripping me up. Individual AI stocks offer massive asymmetric upside but carry heavy single-company risk, especially with volatile quarterly earnings. On the flip side, tech ETFs feel safer for a multi-year horizon, but I worry about dilution from underperforming sectors.

For the experienced macro traders here: when playing a massive secular trend like Artificial Intelligence, do you prefer stock-picking the clear market leaders, or do you strictly rely on sector ETFs to manage the downside? How has your approach to handling tech sector drawdowns changed over time?

#MyStocksQuestion #USStocks #ETFs #AITech #investingstrategy
#zec $ZEC SHORT TRADE ENTRY: 525.2 TARGETS: 510.8 - 4815 STOPLOSS: 542.5
#zec $ZEC SHORT TRADE

ENTRY: 525.2

TARGETS: 510.8 - 4815

STOPLOSS: 542.5
#WLD $WLD LONG TRADE ENTRY: 0.528 TARGET: 0.607 STOPLOSS: 0.5055
#WLD $WLD LONG TRADE

ENTRY: 0.528

TARGET: 0.607

STOPLOSS: 0.5055
#BTC $BTC Price has reached the 61.5k support zone and reacted strongly from there, but honestly, the recent moves have been surprisingly fast and aggressive.
#BTC $BTC

Price has reached the 61.5k support zone and reacted strongly from there, but honestly, the recent moves have been surprisingly fast and aggressive.
LumosX100
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#BTC $BTC

Next support around : 61k5-59k 👀👀
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Ανατιμητική
#OPN $OPN LONG TRADE ENTRY: 0.204 - 0.1985 TARGET: 0.281 STOPLOSS: 0.1905
#OPN $OPN LONG TRADE

ENTRY: 0.204 - 0.1985

TARGET: 0.281

STOPLOSS: 0.1905
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