Crypto Dollar
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Andrew Tate ( Bitcoin ) በከፍተኛ ሁኔታ ዋጋዉ ወርዶ $26,000 ይገባል ብሎ ትንበያ አርጓል 😁 ( ይሄ ሰዉዬ በጣም ችግር አለበት ከ Kickboxing መቶ ስለ Cryptocurrency የሚሰጠዉ ትንበያ የሌለ ነው ደሞ ብዙ Bitcoin ( Hold ) አድርጌ አለዉ ብሏል ከዚ በፊት እሱ አንዲ አለ ስላልን የሌለ ነገር ጭንቅላታችሁ ላይ የሚመጣባችሁ ሰዎች አድቡ 😏 ሰዉዬዉ ጭንቅላቱ ልክ አይደለም።
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📉 BITCOIN WEEKEND VOLUME FADES

Bitcoin’s share of weekend trading volume has steadily declined:
▪️ 24.2% in 2021
▪️19.2% in 2026

📊 Liquidity is shifting more toward weekdays
🏦 Institutional participation continues to shape market behavior.

A subtle but important market structure change
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ማይክል ሴይለርር BTC'ን ገዝታቹ HOLD አድርጉ የሚል መልዕክት አስተላልፏል!

አሁን ላይ መረጃዎች እንደሚያመለክቱት ከሆነ ማይክል ሆልድ ካደረገው ቢትኮይን ወደ $6,100,000,000 ደላር ኪሳራ ላይ ይገኛል።
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🔽 Anthropic rattles software and finance stocks

Markets reacted sharply after reports around new Anthropic tooling, with a broad selloff across software, finance, and asset management names.

Bloomberg data showed heavy pressure across the sector:
🖱 Around $285B wiped out across affected stocks
🖱 Goldman’s software basket down about 6%, the largest drop since April
🖱 Financial services index down roughly 7%
🖱 Nasdaq at one point down 2.4%

The trigger was not a new model, but the release of 11 plugins for Claude Cowork on Jan 30. These tools target full workflows like financial modeling, legal research, and sales operations, rather than plugging into existing software.

Stocks tied to those workflows sold off hard:
🖱 RELX: -14%
🖱 Wolters Kluwer: -13%
🖱 Infosys: -7%
🖱 TCS: -6%

Wall Street has started calling it a “SaaSpocalypse.” The concern is that foundation model companies are moving beyond APIs and into owning the application layer itself.

For markets built on selling automation, this is no longer theoretical.
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⚠️ Key Events This Week

This week is driven by US labor and inflation data, with earnings as a secondary layer. Retail demand sets the early tone, but the core focus is how tight the labor market remains ahead of CPI. Ongoing funding negotiations keep the risk of a partial government shutdown alive, which can amplify market reactions around key prints.

Monday

- December Retail Sales data

Retail sales offer an early signal on consumer demand. Strength here supports growth assumptions and keeps pressure on rates.

Tuesday

- U.S. Retail Sales
- Robinhood $HOOD earnings

Retail data helps confirm consumption trends. Robinhood earnings reflect retail trading activity and risk appetite.

🔴Wednesday

- U.S. NFP Jobs Report
- Cisco $CSCO earnings

NFP is the main growth and labor signal. Payrolls, wages, and participation shape rate expectations. Cisco earnings feed into enterprise spending and broader tech sentiment.

● Thursday

- Initial Jobless Claims
- January Existing Home Sales
- Coinbase $COIN earnings

Claims are used to confirm labor trends. Housing data reflects rate sensitivity. Coinbase earnings impact crypto-linked risk sentiment.

🔴Friday

- U.S. CPI Inflation

CPI is the key inflation checkpoint. Core and services inflation matter most for Fed pricing and front-end rates.

Main focus: Wednesday’s NFP and Friday’s CPI, as labor strength and inflation persistence jointly drive rate expectation
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Building a trader is deeply weird early on.

One day you crush it and you're convinced you've cracked the code. The next day you're wondering if you ever knew how to trade.

You're risking real capital, real years and effort on uncertainty.

Dealing with it takes a lot of time.
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Underrated trading skill:

Catching tilt early and knowing when to step away.

One emotional session can undo months of solid work in a handful of bad trades.

Discipline isn’t just entries. It’s knowing when you’re not fit to play.
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📈 A Practical Way to Eliminate Overtrading

Overtrading is rarely a discipline problem. It’s a structure problem.

When your rules are vague, your brain fills the gaps. The chart “looks good.” The move “feels strong.” You convince yourself it fits. That’s where most bad trades come from.

Here’s what actually works.

📊  Turn every rule into a clear yes or no

Your setup must be a checklist, not a feeling.
You should be able to look at a chart and decide quickly if it fits. If you need to debate it, it’s not your trade.

📊 Reduce exposure to random charts

The more you scan, the more “opportunities” you see.
Limit your watchlist to what you truly trade.
Check the market at predefined times.
Let alerts bring you to the chart instead of staring at it all day.

Less stimulus means fewer impulse entries.

📊 Add friction before execution

Before entering, write down:
Which rule is this trade following?
Where is the invalidation?
What is the target?

If you can’t answer clearly, you don’t click.
That short pause filters out a surprising number of garbage trades.

📊 Automate where possible

If your rules are clear enough, parts of the process can be automated.
Alerts, conditional orders, partial system execution.
The less you rely on emotion at the moment of entry, the fewer unnecessary trades you take.
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🔊JUST IN: Michael Saylor claims MicroStrategy can cover debts even if Bitcoin drops to $8,000; plans to convert debt into equity.
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JUST IN: Binance's stablecoin reserves surpass $45 billion, now holding 65% of all stablecoins on centralized exchanges.
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BREAKING: 💰 Wall Street giant Citi Bank said that “Later this year, Citi will be launching our infrastructure that integrates Bitcoin into traditional finance.”

“Making Bitcoin
Bankable”
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