Binance Square

Trader Naim Pramanik

33 تتابع
3 المتابعون
1 إعجاب
0 تمّت مُشاركتها
منشورات
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هابط
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#LSKUSDT $LSK the sudden pump will see bearish move in few days
#LSKUSDT

$LSK

the sudden pump will see bearish move in few days
التداولات الأخيرة
تداولات 0
LINKUSDT
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if It was the only 35$ in your wallet, you would definitely got liquidated then
if It was the only 35$ in your wallet, you would definitely got liquidated then
Trader Naim Pramanik
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الرد على @CRYPTO UNIVERSE -
but, you had much liquidity behind. which is using big amount into fewer leverage 😂😂
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but, you had much liquidity behind. which is using big amount into fewer leverage 😂😂
but, you had much liquidity behind. which is using big amount into fewer leverage 😂😂
CRYPTO UNIVERSE -
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$AIA هل يمكنك تصديق هذا؟ 😳🔥
لقد حولت للتو 35 دولارًا إلى 3,000 دولار…
تقريبًا 100 ضعف في حركة واحدة 🤯💸

والجزء المجنون؟
لو كنت قد قمت بنفس الصفقة بالضبط مع 1,000 دولار، سأكون أراقب 100,000 دولار الآن 😵‍💫🚀

هذا السوق جنوني… لا تنم عليه 👀📈

قصير $AIA
{future}(AIAUSDT)
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给我兄弟点个关注
给我兄弟点个关注
0xXIAOc
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📢ألفا نشرة يومية
1⃣تقويم الإطلاق
14 نوفمبر (PLAYSOLANA)
سعر ما قبل التداول 0.0177 يقابل FDV 8850 مليون استلام الإطلاق الساعة 20

2⃣إجمالي حجم التداول لأوامر السعر المحدد بالأمس: 7,082,022,338
(زيادة عن اليوم السابق +2.31 % )

3⃣تقدم مسابقة التداول
مسابقة بنك التداول القائمة النهائية: 339422 استلام الجوائز اليوم الساعة 20
القائمة بالأمس 237141 → اليوم 339422
(زيادة قدرها 102281)

4⃣التوصيات اليوم (الرموز المميزة التي تم إطلاقها خلال 30 يومًا، نقاط ×4)
توصيات مسابقة التداول: BOS
توصيات حجم التداول النقي: ANOME، AIO، NB
(موصى به 500/معاملة، مبالغ صغيرة متعددة)
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@lagrangedev and $LA It's a very good project. we all should buy the project's coin. it will show pumping trend in the upcoming days.@lagrangedev is doing a remarkable job with the #lagrange project, and it’s quickly gaining traction in the crypto community. The innovative approach and strong fundamentals make it one of the most promising projects in the space right now. With its growing ecosystem and increasing attention from investors, $LA is showing all the signs of a potential breakout. Many are expecting a significant upward trend in the coming days as more people recognize the value it brings. It’s not just hype — the team behind #lagrange is actively delivering, and the project has real utility, which is rare in many tokens these days. Now might be a great time to consider buying $LA before the momentum really takes off. The project’s vision, combined with a committed community, makes it one to watch closely. Don't miss out on what could be one of the biggest movements in the crypto space this season!
@Lagrange Official and $LA

It's a very good project.
we all should buy the project's coin.
it will show pumping trend in the upcoming days.@Lagrange Official is doing a remarkable job with the #lagrange project, and it’s quickly gaining traction in the crypto community. The innovative approach and strong fundamentals make it one of the most promising projects in the space right now. With its growing ecosystem and increasing attention from investors, $LA is showing all the signs of a potential breakout. Many are expecting a significant upward trend in the coming days as more people recognize the value it brings. It’s not just hype — the team behind #lagrange is actively delivering, and the project has real utility, which is rare in many tokens these days. Now might be a great time to consider buying $LA before the momentum really takes off. The project’s vision, combined with a committed community, makes it one to watch closely. Don't miss out on what could be one of the biggest movements in the crypto space this season!
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 @lagrangedev use hashtag #lagrange and $LA @lagrangedev is doing a remarkable job with the #lagrange project, and it’s quickly gaining traction in the crypto community. The innovative approach and strong fundamentals make it one of the most promising projects in the space right now. With its growing ecosystem and increasing attention from investors, $LA is showing all the signs of a potential breakout. Many are expecting a significant upward trend in the coming days as more people recognize the value it brings. It’s not just hype — the team behind #lagrange is actively delivering, and the project has real utility, which is rare in many tokens these days. Now might be a great time to consider buying $LA before the momentum really takes off. The project’s vision, combined with a committed community, makes it one to watch closely. Don't miss out on what could be one of the biggest movements in the crypto space this season!
 @lagrangedev use hashtag #lagrange and $LA

@lagrangedev is doing a remarkable job with the #lagrange project, and it’s quickly gaining traction in the crypto community. The innovative approach and strong fundamentals make it one of the most promising projects in the space right now. With its growing ecosystem and increasing attention from investors, $LA is showing all the signs of a potential breakout. Many are expecting a significant upward trend in the coming days as more people recognize the value it brings. It’s not just hype — the team behind #lagrange is actively delivering, and the project has real utility, which is rare in many tokens these days. Now might be a great time to consider buying $LA before the momentum really takes off. The project’s vision, combined with a committed community, makes it one to watch closely. Don't miss out on what could be one of the biggest movements in the crypto space this season!
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#EthereumSecurityInitiative represents a significant enhancement of the tool over the previous spreadsheet-based version. This comprehensive modeling tool implements the analytical framework and techniques discussed in this book, and allows students to easily import the financial statements of a company into the model from three major data providers—Thomson ONE, Capital IQ, and the Compustat database of the Wharton Research Data Services—as well as to import manually created statements. A user-friendly interface allows the analyst to navigate through the tool with ease. The tool facilitates the following activities: (1) recasting the reported financial statements in a standard format for analysis; (2) performing accounting analysis as discussed in Chapters 3 and 4, making desired accounting adjustments, and producing restated financials; (3) computing ratios and free cash flows as presented in Chapter 5; (4) producing forecasted income, balance sheet, and cash flow statements for as many as 15 years into the future using the approach discussed in Chapter 6; (5) preparing a terminal value forecast using the abnormal earnings, the abnormal returns, and discounted cash flow methods as discussed in Chapters 7 and 8; and (6) valuing a company (either assets or equity) from these forecasts as also discussed in Chapters 7 and 8. We have seen that the BAV modeling tool can make it significantly easier for students to apply the fram eth
#EthereumSecurityInitiative

represents a significant enhancement of the tool over the previous
spreadsheet-based version. This comprehensive modeling tool implements the
analytical framework and techniques discussed in this book, and allows students to
easily import the financial statements of a company into the model from three
major data providers—Thomson ONE, Capital IQ, and the Compustat database of
the Wharton Research Data Services—as well as to import manually created statements. A user-friendly interface allows the analyst to navigate through the tool
with ease. The tool facilitates the following activities: (1) recasting the reported
financial statements in a standard format for analysis; (2) performing accounting
analysis as discussed in Chapters 3 and 4, making desired accounting adjustments,
and producing restated financials; (3) computing ratios and free cash flows as
presented in Chapter 5; (4) producing forecasted income, balance sheet, and cash
flow statements for as many as 15 years into the future using the approach discussed in Chapter 6; (5) preparing a terminal value forecast using the abnormal
earnings, the abnormal returns, and discounted cash flow methods as discussed in
Chapters 7 and 8; and (6) valuing a company (either assets or equity) from these
forecasts as also discussed in Chapters 7 and 8. We have seen that the BAV
modeling tool can make it significantly easier for students to apply the fram

eth
ش
XRPUSDT
مغلق
الأرباح والخسائر
+2.96USDT
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#MastercardStablecoinCards represents a significant enhancement of the tool over the previous spreadsheet-based version. This comprehensive modeling tool implements the analytical framework and techniques discussed in this book, and allows students to easily import the financial statements of a company into the model from three major data providers—Thomson ONE, Capital IQ, and the Compustat database of the Wharton Research Data Services—as well as to import manually created statements. A user-friendly interface allows the analyst to navigate through the tool with ease. The tool facilitates the following activities: (1) recasting the reported financial statements in a standard format for analysis; (2) performing accounting analysis as discussed in Chapters 3 and 4, making desired accounting adjustments, and producing restated financials; (3) computing ratios and free cash flows as presented in Chapter 5; (4) producing forecasted income, balance sheet, and cash flow statements for as many as 15 years into the future using the approach discussed in Chapter 6; (5) preparing a terminal value forecast using the abnormal earnings, the abnormal returns, and discounted cash flow methods as discussed in Chapters 7 and 8; and (6) valuing a company (either assets or equity) from these forecasts as also discussed in Chapters 7 and 8. We have seen that the BAV modeling tool can make it significantly easier for students to apply the fram jlao lposp
#MastercardStablecoinCards

represents a significant enhancement of the tool over the previous
spreadsheet-based version. This comprehensive modeling tool implements the
analytical framework and techniques discussed in this book, and allows students to
easily import the financial statements of a company into the model from three
major data providers—Thomson ONE, Capital IQ, and the Compustat database of
the Wharton Research Data Services—as well as to import manually created statements. A user-friendly interface allows the analyst to navigate through the tool
with ease. The tool facilitates the following activities: (1) recasting the reported
financial statements in a standard format for analysis; (2) performing accounting
analysis as discussed in Chapters 3 and 4, making desired accounting adjustments,
and producing restated financials; (3) computing ratios and free cash flows as
presented in Chapter 5; (4) producing forecasted income, balance sheet, and cash
flow statements for as many as 15 years into the future using the approach discussed in Chapter 6; (5) preparing a terminal value forecast using the abnormal
earnings, the abnormal returns, and discounted cash flow methods as discussed in
Chapters 7 and 8; and (6) valuing a company (either assets or equity) from these
forecasts as also discussed in Chapters 7 and 8. We have seen that the BAV
modeling tool can make it significantly easier for students to apply the fram jlao lposp
ش
XRPUSDT
مغلق
الأرباح والخسائر
+2.96USDT
عرض الترجمة
represents a significant enhancement of the tool over the previous spreadsheet-based version. This comprehensive modeling tool implements the analytical framework and techniques discussed in this book, and allows students to easily import the financial statements of a company into the model from three major data providers—Thomson ONE, Capital IQ, and the Compustat database of the Wharton Research Data Services—as well as to import manually created statements. A user-friendly interface allows the analyst to navigate through the tool with ease. The tool facilitates the following activities: (1) recasting the reported financial statements in a standard format for analysis; (2) performing accounting analysis as discussed in Chapters 3 and 4, making desired accounting adjustments, and producing restated financials; (3) computing ratios and free cash flows as presented in Chapter 5; (4) producing forecasted income, balance sheet, and cash flow statements for as many as 15 years into the future using the approach discussed in Chapter 6; (5) preparing a terminal value forecast using the abnormal earnings, the abnormal returns, and discounted cash flow methods as discussed in Chapters 7 and 8; and (6) valuing a company (eitherndmk assets or equity) from these forecasts as also discussed in Chapters 7 and 8. We have seen that the BAV modeling tool can make it significantly easier for students to apply the fram
represents a significant enhancement of the tool over the previous
spreadsheet-based version. This comprehensive modeling tool implements the
analytical framework and techniques discussed in this book, and allows students to
easily import the financial statements of a company into the model from three
major data providers—Thomson ONE, Capital IQ, and the Compustat database of
the Wharton Research Data Services—as well as to import manually created statements. A user-friendly interface allows the analyst to navigate through the tool
with ease. The tool facilitates the following activities: (1) recasting the reported
financial statements in a standard format for analysis; (2) performing accounting
analysis as discussed in Chapters 3 and 4, making desired accounting adjustments,
and producing restated financials; (3) computing ratios and free cash flows as
presented in Chapter 5; (4) producing forecasted income, balance sheet, and cash
flow statements for as many as 15 years into the future using the approach discussed in Chapter 6; (5) preparing a terminal value forecast using the abnormal
earnings, the abnormal returns, and discounted cash flow methods as discussed in
Chapters 7 and 8; and (6) valuing a company (eitherndmk assets or equity) from these
forecasts as also discussed in Chapters 7 and 8. We have seen that the BAV
modeling tool can make it significantly easier for students to apply the fram
ش
LTCUSDT
مغلق
الأرباح والخسائر
+3.39USDT
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#MastercardStablecoinCards represents a significant enhancement of the tool over the previous spreadsheet-based version. This comprehensive modeling tool implements the analytical framework and techniques discussed in this book, and allows students to easily import the financial statements of a company into the model from three major data providers—Thomson ONE, Capital IQ, and the Compustat database of the Wharton Research Data Services—as well as to import manually created statements. A user-friendly interface allows the analyst to navigate through the tool with ease. The tool facilitates the following activities: (1) recasting the reported financial statements in a standard format for analysis; (2) performing accounting analysis as discussed in Chapters 3 and 4, making desired accounting adjustments, and producing restated financials; (3) computing ratios and free cash flows as presented in 15 years into the future using the approach discussed in Chapter 6; (5) preparing a terminal value forecast using the abnormal earnings, the abnormal returns, and discounted cash flow methods as discussed in Chapters 7 and 8; and (6) valuing a company (either assets or equity) from these forecasts as also discussed in Chapters 7 and 8. We have seen that the BAV modeling tool can make it significantly easier for students to apply the fram fhjk
#MastercardStablecoinCards
represents a significant enhancement of the tool over the previous
spreadsheet-based version. This comprehensive modeling tool implements the
analytical framework and techniques discussed in this book, and allows students to
easily import the financial statements of a company into the model from three
major data providers—Thomson ONE, Capital IQ, and the Compustat database of
the Wharton Research Data Services—as well as to import manually created statements. A user-friendly interface allows the analyst to navigate through the tool
with ease. The tool facilitates the following activities: (1) recasting the reported
financial statements in a standard format for analysis; (2) performing accounting
analysis as discussed in Chapters 3 and 4, making desired accounting adjustments,
and producing restated financials; (3) computing ratios and free cash flows as
presented in 15 years into the future using the approach discussed in Chapter 6; (5) preparing a terminal value forecast using the abnormal
earnings, the abnormal returns, and discounted cash flow methods as discussed in
Chapters 7 and 8; and (6) valuing a company (either assets or equity) from these
forecasts as also discussed in Chapters 7 and 8. We have seen that the BAV
modeling tool can make it significantly easier for students to apply the fram
fhjk
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#BinancePizza represents a significant enhancement of the tool over the previous spreadsheet-based version. This comprehensive modeling tool implements the analytical framework and techniques discussed in this book, and allows students to easily import the financial statements of a company into the model from three major data providers—Thomson ONE, Capital IQ, and the Compustat database of the Wharton Research Data Services—as well as to import manually created statements. A user-friendly interface allows the analyst to navigate through the tool with ease. The tool facilitates the following activities: (1) recasting the reported financial statements in a standard format for analysis; (2) performing accounting analysis as discussed in Chapters 3 and 4, making desired accounting adjustments, and producing restated financials; (3) computing ratios and free cash flows as presented in Chapter 5; (4) producing forecasted income, balance sheet, and cash flow statements for as many as 15 years into the future using the approach discussed in Chapter 6; (5) preparing a terminal value forecast using the abnormal earnings, the abnormal returns, and discounted cash flow methods as discussed in Chapters 7 and 8; and (6) valuing a company (either assets or equity) from these forecasts as also discussed in Chapters 7 and 8. We have seen that the BAV modeling tool can make it significantly easier for students to apply the fram
#BinancePizza
represents a significant enhancement of the tool over the previous
spreadsheet-based version. This comprehensive modeling tool implements the
analytical framework and techniques discussed in this book, and allows students to
easily import the financial statements of a company into the model from three
major data providers—Thomson ONE, Capital IQ, and the Compustat database of
the Wharton Research Data Services—as well as to import manually created statements. A user-friendly interface allows the analyst to navigate through the tool
with ease. The tool facilitates the following activities: (1) recasting the reported
financial statements in a standard format for analysis; (2) performing accounting
analysis as discussed in Chapters 3 and 4, making desired accounting adjustments,
and producing restated financials; (3) computing ratios and free cash flows as
presented in Chapter 5; (4) producing forecasted income, balance sheet, and cash
flow statements for as many as 15 years into the future using the approach discussed in Chapter 6; (5) preparing a terminal value forecast using the abnormal
earnings, the abnormal returns, and discounted cash flow methods as discussed in
Chapters 7 and 8; and (6) valuing a company (either assets or equity) from these
forecasts as also discussed in Chapters 7 and 8. We have seen that the BAV
modeling tool can make it significantly easier for students to apply the fram
سجّل الدخول لاستكشاف المزيد من المُحتوى
استكشف أحدث أخبار العملات الرقمية
⚡️ كُن جزءًا من أحدث النقاشات في مجال العملات الرقمية
💬 تفاعل مع صنّاع المُحتوى المُفضّلين لديك
👍 استمتع بالمحتوى الذي يثير اهتمامك
البريد الإلكتروني / رقم الهاتف
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