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#TrumpTariffs Donald Trump's meme coin, $TRUMP, has plummeted to new lows after his tariff announcements. The cryptocurrency's value dropped significantly, with reports indicating it reached a meager $9 per token, although current prices show some variation. *Current Price:* $11.09 *All-Time High:* $73.43 *Decline:* 85% from its peak
#TrumpTariffs Donald Trump's meme coin, $TRUMP, has plummeted to new lows after his tariff announcements. The cryptocurrency's value dropped significantly, with reports indicating it reached a meager $9 per token, although current prices show some variation.
*Current Price:* $11.09
*All-Time High:* $73.43
*Decline:* 85% from its peak
#TradingTools101 *Technical Analysis Tools* 1. *Charts*: Visual representations of price movements and trends. 2. *Indicators*: Mathematical calculations based on price and volume data (e.g., RSI, MACD). 3. *Trend Lines*: Lines drawn on charts to identify trends and support/resistance levels. *Trading Platforms* 1. *Exchange Platforms*: Online platforms for buying and selling cryptocurrencies (e.g., Binance, Coinbase). 2. *Brokerage Platforms*: Platforms offering trading services for various assets (e.g., stocks, forex). *Risk Management Tools* 1. *Stop-Loss Orders*: Automatic orders to limit losses if prices move against a position. 2. *Take-Profit Orders*: Automatic orders to lock in profits when prices reach a specified level. 3. *Position Sizing Calculators*: Tools to determine optimal position sizes based on risk tolerance. *Market Data and News* 1. *Real-time Price Feeds*: Up-to-the-minute price data for various assets. 2. *Market News and Analysis*: News and analysis platforms providing market insights (e.g., CoinDesk, TradingView). 3. *Economic Calendars*: Calendars listing upcoming economic events and announcements. *Other Tools* 1. *Trading Bots*: Automated programs executing trades based on predefined strategies. 2. *Portfolio Trackers*: Tools for monitoring and managing investment portfolios. 3. *Alerts and Notifications*: Customizable alerts for price movements, news, and other market events.
#TradingTools101
*Technical Analysis Tools*
1. *Charts*: Visual representations of price movements and trends.
2. *Indicators*: Mathematical calculations based on price and volume data (e.g., RSI, MACD).
3. *Trend Lines*: Lines drawn on charts to identify trends and support/resistance levels.

*Trading Platforms*

1. *Exchange Platforms*: Online platforms for buying and selling cryptocurrencies (e.g., Binance, Coinbase).
2. *Brokerage Platforms*: Platforms offering trading services for various assets (e.g., stocks, forex).

*Risk Management Tools*

1. *Stop-Loss Orders*: Automatic orders to limit losses if prices move against a position.
2. *Take-Profit Orders*: Automatic orders to lock in profits when prices reach a specified level.
3. *Position Sizing Calculators*: Tools to determine optimal position sizes based on risk tolerance.

*Market Data and News*

1. *Real-time Price Feeds*: Up-to-the-minute price data for various assets.
2. *Market News and Analysis*: News and analysis platforms providing market insights (e.g., CoinDesk, TradingView).
3. *Economic Calendars*: Calendars listing upcoming economic events and announcements.

*Other Tools*

1. *Trading Bots*: Automated programs executing trades based on predefined strategies.
2. *Portfolio Trackers*: Tools for monitoring and managing investment portfolios.
3. *Alerts and Notifications*: Customizable alerts for price movements, news, and other market events.
#CryptoCharts101 $ETH A bullish W pattern is forming in a support zone on Ethereum's price chart, and now the market is moving above this level. If you want, you can consider long scalping with a small risk.
#CryptoCharts101
$ETH A bullish W pattern is forming in a support zone on Ethereum's price chart, and now the market is moving above this level. If you want, you can consider long scalping with a small risk.
#TradingMistakes101 Here are common trading mistakes to avoid: *Beginner Mistakes* 1. *Lack of Research*: Trading without understanding the market or assets. 2. *Overtrading*: Excessive buying and selling, leading to increased fees and losses. 3. *Emotional Trading*: Making decisions based on emotions rather than logic. 4. *Insufficient Risk Management*: Failing to set stop-losses or limit positions. *Technical Mistakes* 1. *Incorrect Chart Analysis*: Misinterpreting charts or indicators. 2. *Inadequate Stop-Loss Placement*: Setting stop-losses too tight or too wide. 3. *Overreliance on Indicators*: Relying too heavily on technical indicators without considering other factors. *Risk Management Mistakes* 1. *Overleverage*: Trading with excessive leverage, amplifying potential losses. 2. *Failure to Adapt*: Not adjusting strategies to changing market conditions. 3. *Lack of Diversification*: Over-investing in a single asset or market. *Psychological Mistakes* 1. *Fear and Greed*: Allowing emotions to drive trading decisions. 2. *Confirmation Bias*: Ignoring contradictory information and focusing on confirming data. 3. *Revenge Trading*: Trading impulsively to recoup losses. *How to Avoid Trading Mistakes* 1. *Education*: Continuously learn and improve trading skills. 2. *Discipline*: Stick to trading plans and strategies. 3. *Risk Management*: Implement effective risk management techniques. 4. *Self-Reflection*: Regularly review and adjust trading approaches.
#TradingMistakes101
Here are common trading mistakes to avoid:

*Beginner Mistakes*

1. *Lack of Research*: Trading without understanding the market or assets.
2. *Overtrading*: Excessive buying and selling, leading to increased fees and losses.
3. *Emotional Trading*: Making decisions based on emotions rather than logic.
4. *Insufficient Risk Management*: Failing to set stop-losses or limit positions.

*Technical Mistakes*

1. *Incorrect Chart Analysis*: Misinterpreting charts or indicators.
2. *Inadequate Stop-Loss Placement*: Setting stop-losses too tight or too wide.
3. *Overreliance on Indicators*: Relying too heavily on technical indicators without considering other factors.

*Risk Management Mistakes*

1. *Overleverage*: Trading with excessive leverage, amplifying potential losses.
2. *Failure to Adapt*: Not adjusting strategies to changing market conditions.
3. *Lack of Diversification*: Over-investing in a single asset or market.

*Psychological Mistakes*

1. *Fear and Greed*: Allowing emotions to drive trading decisions.
2. *Confirmation Bias*: Ignoring contradictory information and focusing on confirming data.
3. *Revenge Trading*: Trading impulsively to recoup losses.

*How to Avoid Trading Mistakes*

1. *Education*: Continuously learn and improve trading skills.
2. *Discipline*: Stick to trading plans and strategies.
3. *Risk Management*: Implement effective risk management techniques.
4. *Self-Reflection*: Regularly review and adjust trading approaches.
#CryptoFees101 Crypto fees are charges associated with transactions on blockchain networks. Here's a breakdown: *Types of Crypto Fees* 1. *Transaction Fees*: Paid to miners or validators for processing transactions. 2. *Network Fees*: Fees for interacting with smart contracts or decentralized applications (dApps). 3. *Exchange Fees*: Fees charged by cryptocurrency exchanges for trading, withdrawals, or deposits. *Factors Affecting Crypto Fees* 1. *Network Congestion*: High demand for transactions can increase fees. 2. *Transaction Size*: Larger transactions may require higher fees. 3. *Blockchain Protocol*: Different protocols have varying fee structures. *How to Minimize Crypto Fees* 1. *Choose the Right Time*: Transact during periods of low network congestion. 2. *Optimize Transaction Size*: Batch transactions to reduce overall fees. 3. *Select Low-Fee Blockchains*: Consider using blockchains with lower transaction fees. *Fee Comparison Across Blockchains* 1. *Bitcoin*: Known for relatively high transaction fees. 2. *Ethereum*: Fees can be high during network congestion. 3. *Solana*: Known for low transaction fees.
#CryptoFees101
Crypto fees are charges associated with transactions on blockchain networks. Here's a breakdown:

*Types of Crypto Fees*

1. *Transaction Fees*: Paid to miners or validators for processing transactions.
2. *Network Fees*: Fees for interacting with smart contracts or decentralized applications (dApps).
3. *Exchange Fees*: Fees charged by cryptocurrency exchanges for trading, withdrawals, or deposits.

*Factors Affecting Crypto Fees*

1. *Network Congestion*: High demand for transactions can increase fees.
2. *Transaction Size*: Larger transactions may require higher fees.
3. *Blockchain Protocol*: Different protocols have varying fee structures.

*How to Minimize Crypto Fees*

1. *Choose the Right Time*: Transact during periods of low network congestion.
2. *Optimize Transaction Size*: Batch transactions to reduce overall fees.
3. *Select Low-Fee Blockchains*: Consider using blockchains with lower transaction fees.

*Fee Comparison Across Blockchains*

1. *Bitcoin*: Known for relatively high transaction fees.
2. *Ethereum*: Fees can be high during network congestion.
3. *Solana*: Known for low transaction fees.
#CryptoRoundTableRemarks *Potential Discussion Points* 1. *Industry Trends*: Share insights on current market trends and future predictions. 2. *Use Cases*: Explore real-world applications of cryptocurrencies and blockchain. 3. *Challenges*: Discuss hurdles facing the crypto industry, such as scalability and security. 4. *Opportunities*: Identify potential investment opportunities and growth areas.
#CryptoRoundTableRemarks
*Potential Discussion Points*
1. *Industry Trends*: Share insights on current market trends and future predictions.
2. *Use Cases*: Explore real-world applications of cryptocurrencies and blockchain.
3. *Challenges*: Discuss hurdles facing the crypto industry, such as scalability and security.
4. *Opportunities*: Identify potential investment opportunities and growth areas.
#TradingPairs101 Trading pairs refer to the two assets being traded against each other in a single transaction. Here's a breakdown: *Types of Trading Pairs* 1. *Fiat Pairs*: Trading a cryptocurrency against a fiat currency (e.g., BTC/USD, ETH/EUR). 2. *Crypto Pairs*: Trading one cryptocurrency against another (e.g., BTC/ETH, LTC/BTC). *How Trading Pairs Work* 1. *Base Asset*: The first asset in the pair (e.g., BTC in BTC/USD). 2. *Quote Asset*: The second asset in the pair (e.g., USD in BTC/USD). 3. *Exchange Rate*: The price of the base asset in terms of the quote asset. *Importance of Trading Pairs* 1. *Liquidity*: Trading pairs with high liquidity tend to have tighter bid-ask spreads. 2. *Volatility*: Trading pairs with high volatility can offer opportunities for profit, but also increase risk. 3. *Market Analysis*: Understanding trading pairs is crucial for technical and fundamental analysis. *Examples of Trading Pairs* 1. *BTC/USD*: Bitcoin vs. US Dollar. 2. *ETH/BTC*: Ethereum vs. Bitcoin. 3. *EUR/USD*: Euro vs. US Dollar (in forex).
#TradingPairs101
Trading pairs refer to the two assets being traded against each other in a single transaction. Here's a breakdown:

*Types of Trading Pairs*
1. *Fiat Pairs*: Trading a cryptocurrency against a fiat currency (e.g., BTC/USD, ETH/EUR).
2. *Crypto Pairs*: Trading one cryptocurrency against another (e.g., BTC/ETH, LTC/BTC).

*How Trading Pairs Work*
1. *Base Asset*: The first asset in the pair (e.g., BTC in BTC/USD).
2. *Quote Asset*: The second asset in the pair (e.g., USD in BTC/USD).
3. *Exchange Rate*: The price of the base asset in terms of the quote asset.

*Importance of Trading Pairs*
1. *Liquidity*: Trading pairs with high liquidity tend to have tighter bid-ask spreads.
2. *Volatility*: Trading pairs with high volatility can offer opportunities for profit, but also increase risk.
3. *Market Analysis*: Understanding trading pairs is crucial for technical and fundamental analysis.

*Examples of Trading Pairs*
1. *BTC/USD*: Bitcoin vs. US Dollar.
2. *ETH/BTC*: Ethereum vs. Bitcoin.
3. *EUR/USD*: Euro vs. US Dollar (in forex).
#OrderTypes101 Here are the basic order types you should know: *Common Order Types* - *Market Order*: Buy or sell a security at the current market price. Execution is guaranteed, but price isn't. - Example: Buying 100 shares of a stock at the current market price. - *Limit Order*: Buy or sell a security at a specific price or better. Price is guaranteed, but execution isn't. - Example: Buying 100 shares of a stock at $50 or less. - *Stop Order*: Buy or sell a security when it reaches a certain price (stop price), becoming a market order. - Example: Selling 100 shares of a stock if it falls to $40 to limit losses. - *Stop-Limit Order*: Buy or sell a security when it reaches a certain price (stop price), becoming a limit order. - Example: Buying 100 shares of a stock if it reaches $50, with a limit price of $52. *Advanced Order Types* - *Trailing Stop Order*: Adjusts the stop price based on the security's price movement. - *Bracket Order*: A group of orders designed to limit losses and lock in profits. - *Conditional Order*: Automatically submitted or canceled based on specified criteria. - *One-Cancels-Other (OCO) Order*: A pair of orders where one order cancels the other if executed ¹ ². *Time-in-Force Options* - *Day Only*: Order is active for one trading session. - *Good Till Canceled (GTC)*: Order is active until filled or canceled, up to a specified time limit. - *Fill or Kill (FOK)*: Order must be executed immediately or canceled ².
#OrderTypes101
Here are the basic order types you should know:

*Common Order Types*

- *Market Order*: Buy or sell a security at the current market price. Execution is guaranteed, but price isn't.
- Example: Buying 100 shares of a stock at the current market price.
- *Limit Order*: Buy or sell a security at a specific price or better. Price is guaranteed, but execution isn't.
- Example: Buying 100 shares of a stock at $50 or less.
- *Stop Order*: Buy or sell a security when it reaches a certain price (stop price), becoming a market order.
- Example: Selling 100 shares of a stock if it falls to $40 to limit losses.
- *Stop-Limit Order*: Buy or sell a security when it reaches a certain price (stop price), becoming a limit order.
- Example: Buying 100 shares of a stock if it reaches $50, with a limit price of $52.

*Advanced Order Types*

- *Trailing Stop Order*: Adjusts the stop price based on the security's price movement.
- *Bracket Order*: A group of orders designed to limit losses and lock in profits.
- *Conditional Order*: Automatically submitted or canceled based on specified criteria.
- *One-Cancels-Other (OCO) Order*: A pair of orders where one order cancels the other if executed ¹ ².

*Time-in-Force Options*

- *Day Only*: Order is active for one trading session.
- *Good Till Canceled (GTC)*: Order is active until filled or canceled, up to a specified time limit.
- *Fill or Kill (FOK)*: Order must be executed immediately or canceled ².
*Common Order Types* - *Market Order*: Buy or sell a security at the current market price. Execution is guaranteed, but price isn't. - Example: Buying 100 shares of a stock at the current market price. - *Limit Order*: Buy or sell a security at a specific price or better. Price is guaranteed, but execution isn't. - Example: Buying 100 shares of a stock at $50 or less. - *Stop Order*: Buy or sell a security when it reaches a certain price (stop price), becoming a market order. - Example: Selling 100 shares of a stock if it falls to $40 to limit losses. - *Stop-Limit Order*: Buy or sell a security when it reaches a certain price (stop price), becoming a limit order. - Example: Buying 100 shares of a stock if it reaches $50, with a limit price of $52.
*Common Order Types*

- *Market Order*: Buy or sell a security at the current market price. Execution is guaranteed, but price isn't.
- Example: Buying 100 shares of a stock at the current market price.
- *Limit Order*: Buy or sell a security at a specific price or better. Price is guaranteed, but execution isn't.
- Example: Buying 100 shares of a stock at $50 or less.
- *Stop Order*: Buy or sell a security when it reaches a certain price (stop price), becoming a market order.
- Example: Selling 100 shares of a stock if it falls to $40 to limit losses.
- *Stop-Limit Order*: Buy or sell a security when it reaches a certain price (stop price), becoming a limit order.
- Example: Buying 100 shares of a stock if it reaches $50, with a limit price of $52.
#Liquidity101 High Liquidity Fast trades Small price impact Tight bid-ask spread Example: BTC, ETH on major exchanges 🔴 Low Liquidity Harder to trade Big price swings Wider bid-ask spread Example: New altcoins, small-cap tokens
#Liquidity101
High Liquidity

Fast trades

Small price impact

Tight bid-ask spread
Example: BTC, ETH on major exchanges

🔴 Low Liquidity

Harder to trade

Big price swings

Wider bid-ask spread
Example: New altcoins, small-cap tokens
#CryptoSecurity101 🔐 1. Use Cold Wallets What: Hardware wallets or offline storage Why: Keeps your crypto safe from online hacks --- 🧬 2. Never Share Private Keys or Seed Phrases Rule: If someone has it, they own your crypto Tip: Write it down and store it securely offline
#CryptoSecurity101
🔐 1. Use Cold Wallets

What: Hardware wallets or offline storage

Why: Keeps your crypto safe from online hacks

---

🧬 2. Never Share Private Keys or Seed Phrases

Rule: If someone has it, they own your crypto

Tip: Write it down and store it securely offline
#CEXvsDEX101 🔵 CEX – Centralized Exchange Examples: Binance, Coinbase, Kraken How it works: Operated by a company that manages your trades and funds. Pros: Easy to use High liquidity Customer support
#CEXvsDEX101 🔵 CEX – Centralized Exchange

Examples: Binance, Coinbase, Kraken

How it works: Operated by a company that manages your trades and funds.

Pros:

Easy to use

High liquidity

Customer support
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Bearish
🟢 1. Day Trading Timeframe: Intraday (same day) Goal: Profit from short-term price movements Typical Assets: Stocks, forex, crypto, futures Key Tools: Technical analysis, real-time charts Risks: High – due to fast-paced decisions 🔵 2. Swing Trading Timeframe: Days to weeks Goal: Capture "swings" or trends in price movements Typical Assets: Stocks, forex, options Key Tools: Technical and fundamental analysis Risks: Moderate – trades held longer, but still volatile --- 🟠 3. Position Trading Timeframe: Weeks to months (sometimes years) Goal: Long-term trend following Typical Assets: Stocks, bonds, ETFs Key Tools: Fundamental analysis Risks: Lower – more stable, but still exposed to market shifts --- 🔴 4. Scalping Timeframe: Seconds to minutes Goal: Tiny profits on high volume trades Typical Assets: Forex, futures, crypto Key Tools: Fast execution, algorithms, Level 2 quotes Risks: Very high – requires precision and speed -- --- Summary Table Type Timeframe Risk Skill Required Automation Possible Day Trading Minutes–Hours High High Partial Swing Trading Days–Weeks Moderate
🟢 1. Day Trading

Timeframe: Intraday (same day)

Goal: Profit from short-term price movements

Typical Assets: Stocks, forex, crypto, futures

Key Tools: Technical analysis, real-time charts

Risks: High – due to fast-paced decisions

🔵 2. Swing Trading

Timeframe: Days to weeks

Goal: Capture "swings" or trends in price movements

Typical Assets: Stocks, forex, options

Key Tools: Technical and fundamental analysis

Risks: Moderate – trades held longer, but still volatile

---

🟠 3. Position Trading

Timeframe: Weeks to months (sometimes years)

Goal: Long-term trend following

Typical Assets: Stocks, bonds, ETFs

Key Tools: Fundamental analysis

Risks: Lower – more stable, but still exposed to market shifts

---

🔴 4. Scalping

Timeframe: Seconds to minutes

Goal: Tiny profits on high volume trades

Typical Assets: Forex, futures, crypto

Key Tools: Fast execution, algorithms, Level 2 quotes

Risks: Very high – requires precision and speed

--

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Summary Table

Type Timeframe Risk Skill Required Automation Possible

Day Trading Minutes–Hours High High Partial
Swing Trading Days–Weeks Moderate
#TradingTypes101 Trading Types 101 Here's a beginner-friendly breakdown of the most common types of trading in financial markets: --- 🟢 1. Day Trading Timeframe: Intraday (same day) Goal: Profit from short-term price movements Typical Assets: Stocks, forex, crypto, futures Key Tools: Technical analysis, real-time charts Risks: High – due to fast-paced decisions --- 🔵 2. Swing Trading Timeframe: Days to weeks Goal: Capture "swings" or trends in price movements Typical Assets: Stocks, forex, options Key Tools: Technical and fundamental analysis Risks: Moderate – trades held longer, but still volatile --- 🟠 3. Position Trading Timeframe: Weeks to months (sometimes years) Goal: Long-term trend following Typical Assets: Stocks, bonds, ETFs Key Tools: Fundamental analysis Risks: Lower – more stable, but still exposed to market shifts --- 🔴 4. Scalping Timeframe: Seconds to minutes Goal: Tiny profits on high volume trades Typical Assets: Forex, futures, crypto Key Tools: Fast execution, algorithms, Level 2 quotes Risks: Very high – requires precision and speed --- 🟡 5. Algorithmic Trading (Algo Trading) Timeframe: Varies (automated strategies) Goal: Execute strategies automatically using code Typical Assets: All markets Key Tools: Algorithms, coding skills (Python, etc.) Risks: Medium to high – depends on strategy and execution --- 🟣 6. Options Trading Timeframe: Days to expiration Goal: Profit from movement in stock prices via options contracts Typical Assets: Stock options, index options Key Tools: Greeks (Delta, Theta, etc.), options chains Risks: Can be very high – but also hedging tools --- 🟤 7. Copy or Social Trading Timeframe: Passive (mirrors another trader's actions) Goal: Let pros make the calls Typical Assets: Forex, crypto, stocks (on supported platforms) Key Tools: Social trading platforms (e.g., eToro) Risks: Medium – depends on trader being copies
#TradingTypes101
Trading Types 101

Here's a beginner-friendly breakdown of the most common types of trading in financial markets:

---

🟢 1. Day Trading

Timeframe: Intraday (same day)

Goal: Profit from short-term price movements

Typical Assets: Stocks, forex, crypto, futures

Key Tools: Technical analysis, real-time charts

Risks: High – due to fast-paced decisions

---

🔵 2. Swing Trading

Timeframe: Days to weeks

Goal: Capture "swings" or trends in price movements

Typical Assets: Stocks, forex, options

Key Tools: Technical and fundamental analysis

Risks: Moderate – trades held longer, but still volatile

---

🟠 3. Position Trading

Timeframe: Weeks to months (sometimes years)

Goal: Long-term trend following

Typical Assets: Stocks, bonds, ETFs

Key Tools: Fundamental analysis

Risks: Lower – more stable, but still exposed to market shifts

---

🔴 4. Scalping

Timeframe: Seconds to minutes

Goal: Tiny profits on high volume trades

Typical Assets: Forex, futures, crypto

Key Tools: Fast execution, algorithms, Level 2 quotes

Risks: Very high – requires precision and speed

---

🟡 5. Algorithmic Trading (Algo Trading)

Timeframe: Varies (automated strategies)

Goal: Execute strategies automatically using code

Typical Assets: All markets

Key Tools: Algorithms, coding skills (Python, etc.)

Risks: Medium to high – depends on strategy and execution

---

🟣 6. Options Trading

Timeframe: Days to expiration

Goal: Profit from movement in stock prices via options contracts

Typical Assets: Stock options, index options

Key Tools: Greeks (Delta, Theta, etc.), options chains

Risks: Can be very high – but also hedging tools

---

🟤 7. Copy or Social Trading

Timeframe: Passive (mirrors another trader's actions)

Goal: Let pros make the calls

Typical Assets: Forex, crypto, stocks (on supported platforms)

Key Tools: Social trading platforms (e.g., eToro)

Risks: Medium – depends on trader being copies
#TradeWarEases The United States and China have reached a significant agreement to de-escalate their ongoing trade war by substantially reducing tariffs over the next 90 days. Following high-level talks in Geneva, the U.S. will lower tariffs on Chinese goods from 145% to 30%, while China will reduce its tariffs on U.S. imports from 125% to 10%. This development has positively impacted global markets. U.S. stock futures rose, with the S&P 500 futures up 2.8%, and the U.S. dollar strengthened by 0.7%. Conversely, gold prices retreated by 2.3%, indicating a shift in investor sentiment towards riskier assets.
#TradeWarEases
The United States and China have reached a significant agreement to de-escalate their ongoing trade war by substantially reducing tariffs over the next 90 days. Following high-level talks in Geneva, the U.S. will lower tariffs on Chinese goods from 145% to 30%, while China will reduce its tariffs on U.S. imports from 125% to 10%.
This development has positively impacted global markets. U.S. stock futures rose, with the S&P 500 futures up 2.8%, and the U.S. dollar strengthened by 0.7%. Conversely, gold prices retreated by 2.3%, indicating a shift in investor sentiment towards riskier assets.
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$BTC Tell Brother Hao loudly, what is the best prophet? It has already reached around 1000 points, just continue to wait for the pullback and that's it! Predictions are this accurate! You can casually go through Brother Hao's previous posts, wasn't that a real-time accurate prediction? Brother Hao just says one thing, facts speak louder than words! Accurate is accurate! Professional is professional! Follow me, check my personal profile!#
$BTC
Tell Brother Hao loudly, what is the best prophet? It has already reached around 1000 points, just continue to wait for the pullback and that's it! Predictions are this accurate! You can casually go through Brother Hao's previous posts, wasn't that a real-time accurate prediction? Brother Hao just says one thing, facts speak louder than words! Accurate is accurate! Professional is professional!
Follow me, check my personal profile!#
#ETHCrossed2500 After months of consolidation under $2,000, Ethereum has officially crossed $2,500, briefly touching the milestone before pulling back to the $2,470–$2,480 range. Bulls say ETH is gearing up for a major run with ETF momentum and rising DeFi activity. Bears, however, point to strong resistance at $2.500 and warn of a potential short-term pullback. 💬 Where do you think ETH is headed next? Share your thoughts!
#ETHCrossed2500
After months of consolidation under $2,000, Ethereum has officially crossed $2,500, briefly touching the milestone before pulling back to the $2,470–$2,480 range. Bulls say ETH is gearing up for a major run with ETF momentum and rising DeFi activity. Bears, however, point to strong resistance at $2.500 and warn of a potential short-term pullback.
💬 Where do you think ETH is headed next? Share your thoughts!
$XRP In my opinion, I am very optimistic about this currency and I expect it to rise further and increase its market value. Despite the difficulties it faces, it resists and gives a special momentum to itself. According to the data, I expect the time for its rise has come.
$XRP
In my opinion, I am very optimistic about this currency and I expect it to rise further and increase its market value. Despite the difficulties it faces, it resists and gives a special momentum to itself.
According to the data, I expect the time for its rise has come.
#AltcoinSeasonLoading To answer, "Is ALTSEASON here?" Two charts explain it. I had three conditions: 1. "If rejected at this zone" 2. "And we break this zone" 3. "It's a free fall to 48%" The first condition is met. If the second is met, we discuss the third. For now, "Pray for ETH for alt season." Full market analysis drops on Monday.
#AltcoinSeasonLoading
To answer, "Is ALTSEASON here?"
Two charts explain it.
I had three conditions:
1. "If rejected at this zone"
2. "And we break this zone"
3. "It's a free fall to 48%"
The first condition is met.
If the second is met, we discuss the third.
For now, "Pray for ETH for alt season."
Full market analysis drops on Monday.
$ETH - *Key Features*: - *Smart Contracts*: Self-executing contracts with terms directly written into code. - *Decentralized Applications (dApps)*: Ethereum allows developers to build and deploy dApps. - *Non-Fungible Tokens (NFTs)*: Ethereum's ERC-721 standard supports the creation and trading of unique digital assets. - *History and Development*: - *Founded*: Ethereum was conceived in 2013 by Vitalik Buterin and launched on July 30, 2015. - *Proof-of-Stake Transition*: Ethereum transitioned to Proof-of-Stake in September 2022, reducing energy consumption by 99%. - *Ether (ETH)*: - *Native Cryptocurrency*: Ether is the cryptocurrency used for transaction fees and validator rewards. - *Market Position*: Ether is the second-largest cryptocurrency by market capitalization. - *Upcoming Upgrades*: - *Pectra Upgrade*: Expected in mid-2025, this upgrade will increase staking amounts per validator and enhance smart contract functionality.
$ETH
- *Key Features*:
- *Smart Contracts*: Self-executing contracts with terms directly written into code.
- *Decentralized Applications (dApps)*: Ethereum allows developers to build and deploy dApps.
- *Non-Fungible Tokens (NFTs)*: Ethereum's ERC-721 standard supports the creation and trading of unique digital assets.

- *History and Development*:
- *Founded*: Ethereum was conceived in 2013 by Vitalik Buterin and launched on July 30, 2015.
- *Proof-of-Stake Transition*: Ethereum transitioned to Proof-of-Stake in September 2022, reducing energy consumption by 99%.

- *Ether (ETH)*:
- *Native Cryptocurrency*: Ether is the cryptocurrency used for transaction fees and validator rewards.
- *Market Position*: Ether is the second-largest cryptocurrency by market capitalization.

- *Upcoming Upgrades*:
- *Pectra Upgrade*: Expected in mid-2025, this upgrade will increase staking amounts per validator and enhance smart contract functionality.
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