Bull Market Awakens: Bitcoin and Ethereum Set to Soar
As of April 28, 2025, both Bitcoin ($BTC ) and Ethereum ($ETH ) are exhibiting bullish trends, driven by macroeconomic developments, institutional interest, and favorable technical indicators.
Bitcoin ($BTC ) Market Overview
• Current Price: Approximately $95,500
• Recent Performance: $BTC has rebounded 25% from its April low of $76,000, now approaching the psychological resistance at $100,000.
• Key Drivers:
• Macroeconomic Factors: Investor concerns over U.S. tariffs and Federal Reserve policies have increased BTC’s appeal as a hedge.
• Institutional Adoption: Major firms like Strategy (formerly MicroStrategy) have significantly increased their BTC holdings, signaling strong institutional confidence.
• Technical Indicators: BTC has broken out of a four-month falling wedge pattern, with the Relative Strength Index (RSI) above 50, suggesting continued upward momentum.
• Short-Term Outlook: Analysts predict BTC could reach $100,000 in the near term, with potential to climb to $107,000 if current momentum persists.
• Year-End Projections: Forecasts vary, with some models suggesting BTC could hit between $130,000 and $200,000 by Q4 2025.    
Ethereum ($ETH ) Market Overview
• Current Price: Approximately $1,800
• Recent Performance: ETH has shown a 4.7% increase over the past 24 hours, with trading volumes up by 35%, indicating strong market interest. 
• Key Drivers:
• Technical Momentum: A strong weekly candle suggests the beginning of a sustained upward trend. 
• On-Chain Activity: Active ETH addresses have risen by 12%, reflecting growing user engagement. 
• Market Sentiment: Analysts advise against selling, citing ongoing bullish momentum and strong support levels. 
• Short-Term Outlook: ETH is expected to reach $1,850 by the end of April, with potential to test $2,000 if current trends continue. 
• Mid-Term Projections: In May, $ETH could trade between $2,500 and $2,700, supported by ascending triangle patterns and increased institutional participation. 
Conclusion
Both $BTC and $ETH are demonstrating strong bullish signals as April concludes. Bitcoin’s resilience amid macroeconomic uncertainties and Ethereum’s increasing on-chain activity suggest continued upward trajectories. Investors should monitor key resistance levels and market developments to capitalize on potential gains.
Risk Cognition Assessment for Cryptocurrency Following
(Total score: 100 points. A score of 80 or above is considered passing. The time limit is 30 minutes)
I. Core Theoretical Basis (5 points per question, 20 points in total)
1. The core idea of the Markowitz Efficient Frontier Model is:
A. Maximize profits through a single high-yield asset.
B. Pursue the highest expected return at a given risk level, or pursue the lowest risk at a given return level.
C. Only allocate low-volatility assets to avoid risks.
D. Rely on technical analysis to predict asset price trends.
2. The core objective of the Bridgewater Risk Parity Model is:
A. Make the return contributions of various assets equal.
B. Make the risk contributions (such as volatility) of various assets equal.
C. Concentrate on allocating high-yield assets to improve overall returns.
D. Amplify returns through a fixed proportion of leverage.
3. Among the principles of derivative risk pricing, which of the following is not a key factor affecting the price of a futures contract?
A. The spot price of the underlying asset.
B. The funding rate.
C. The number of exchange members.
D. Market volatility.
4. The main application of the Kelly formula in the system is:
A. Calculate the target position ratio of a single asset.
B. Dynamically optimize the position size to match the account's risk tolerance.
C. Determine the leverage multiple for fixed-lot following.
D. Predict the probability of extreme market conditions.
II. Risk Control Mechanisms (6 points per question, 30 points in total)
5. What is the maximum drawdown threshold set by the system for a single natural month?
A. 10% (based on the current equity).
B. 20% (based on the initial equity).
C. 25% (based on the dynamic equity).
D. 30% (based on the net profit).
6. In the leverage constraint system, what is the buffer zone required between the liquidation price and the latest transaction price according to the margin safety margin?
A. ≥10%
B. ≥20%
C. ≥30%
D. ≥40%
7. According to the liquidity management specification, what percentage of the monthly net profit is withdrawn as a risk reserve each month?
A. 20%
B. 30%
C. 50%
D. 70%
8. When the 24-hour historical volatility > 40%, which of the following defense mechanisms will the system trigger?
A. Increase the leverage multiple to above 15 times.
B. Compress the exposure of risky assets to within 60% and allocate 20% stablecoin reserves.
C. Initiate the fixed-lot following mode.
D. Suspend all strategy following.
9. In the capital curve protection mechanism, when the weekly rate of return experiences a drawdown of > 8% for two consecutive weeks, the concentration of underlying assets needs to be reduced to:
A. ≤1 mainstream variety
B. ≤3 mainstream varieties (top 10 in market capitalization)
C. ≤5 mainstream varieties (top 20 in market capitalization)
D. No limit
III. Strategy Framework and Underlying Selection (6 points per question, 30 points in total)
10. Which assets should be overweighted in the macro-driven strategy during the interest rate hike cycle?
A. High-β altcoins (market capitalization range of 20-50).
B. Inflation-resistant assets (such as BTC/USD).
C. Stablecoins (such as USDT).
D. DeFi protocol tokens.
11. What is the core model adopted by the trend following enhancement strategy?
A. 20-day/60-day ATR channel breakout + LSTM price inflection point prediction.
B. Daily-level RSI divergence + Weekly-level MACD golden cross.
C. Bollinger Bands + Fibonacci retracement lines.
D. Order book depth analysis + Sentiment index.
12. In the underlying asset admission matrix, what is the threshold requirement for the 24-hour USD trading volume?
A. ≥$10 million
B. ≥$30 million
C. ≥$50 million
D. ≥$100 million
13. What is the core objective of multi-strategy Sharpe optimization?
A. Maximize the annualized rate of return.
B. Minimize historical volatility.
C. Improve the risk-adjusted return (excess return per unit of risk).
D. Reduce the maximum drawdown.
14. To which time dimension's core strategy portfolio does the cross-asset arbitrage strategy belong?
A. Monthly (Cross-asset Arbitrage + Trend Following).
B. Quarterly (Macro Cycle Rotation + Event-driven).
C. Annual (Risk Parity Allocation + Multi-strategy Sharpe Optimization).
D. Intraday trading.
IV. Extreme Risks and Compliance (5 points per question, 20 points in total)
15. According to the stress test, what is the maximum net loss of the system in the "once-in-200-year" extreme market condition?
A. ≤20%
B. ≤35%
C. ≤50%
D. ≤70%
16. Which of the following is not a major risk disclosed by the system?
A. Smart contract vulnerability risk (annualized 0.5%).
B. Exchange suspension of trading risk (annualized 1.2%).
C. Risk of regulatory policy changes.
D. Extreme market liquidation risk.
17. What does the proportional synchronous following mechanism adopted by the system mean?
A. Follow with fixed lots, without considering the differences in account equity.
B. Open positions with a 1:1 mapping of equity and dynamically adjust the position based on the Kelly formula.
C. Only follow 50% of the main strategy's position.
D. Freely choose the leverage multiple according to the follower's risk preference.
18. Regarding the historical performance backtracking (2023-2024), which of the following data is incorrect?
A. Annualized rate of return: 272%.
B. Maximum drawdown: 19.2%.
C. Sharpe ratio: 5.9 (risk-free rate 2%).
D. Historical volatility control threshold ≤35%.
Answers: 1-4: BBCB; 5-9: BCBBB; 10-14: BACCA; 15-18: BCBD
Assessment Instructions
1. Passing requirement: A score of 80 or above (inclusive). Those who do not pass need to study the guidelines again and take a make-up exam.
2. Core assessment points: Whether the candidate understands the system's risk parity framework, leverage and stop-loss mechanisms, underlying selection criteria, and extreme risk response measures.
3. Application scenario: As a necessary part of the admission review for followers, to ensure that their cognition matches the system's risk-return characteristics.
This assessment focuses on the core provisions of the guidelines, taking into account both theory and practice, and can effectively evaluate the depth of the followers' understanding of the system's risk logic.

$INIT Initia (INIT) is an emerging modular blockchain platform built on the Cosmos SDK, aiming to provide scalable Layer 1 and Layer 2 infrastructure for decentralized applications. As of April 27, 2025, INIT is trading at approximately $0.84, with a market capitalization of around $125 million and a 24-hour trading volume of $272 million .
📈 INIT Price Forecast (2025–2028)
🔮 2025: Early Momentum and Potential Growth
Analysts project a bullish trajectory for INIT in 2025, contingent on successful mainnet launch and exchange listings. CoinCodex forecasts prices ranging from $2.16 to $3.50 between June and September, suggesting potential returns exceeding 300% from current levels .
Bitrue anticipates INIT could reach $2.50–$3.00 within 12–18 months post-Token Generation Event (TGE), assuming strong developer adoption and favorable market conditions .
📊 2026: Consolidation and Ecosystem Development
Price predictions for 2026 vary, reflecting uncertainties in market dynamics and project execution. MEXC projects a modest growth to approximately $0.88, indicating a 5% annual increase . Conversely, CryptoTicker forecasts a more optimistic scenario, with prices ranging from $1.95 to $2.91, averaging around $2.09 .
🚀 2027–2028: Scaling and Maturity
As INIT's ecosystem matures, price forecasts suggest continued growth. DigitalCoinPrice estimates a maximum price of $2.82 by 2027, with an average around $2.60 . By 2028, PricePredictions.com anticipates prices could reach up to $5.60, averaging approximately $5.35, assuming sustained adoption and market support .
⚠️ Risks and Considerations
Market Volatility: Cryptocurrency markets are inherently volatile, and prices can fluctuate significantly due to macroeconomic factors and investor sentiment.
Project Execution: INIT's success depends on timely mainnet launch, achieving technical milestones, and fostering a robust developer community.
Regulatory Landscape: Changes in global regulatory policies could impact INIT's adoption and accessibility.
Competitive Environment: INIT faces competition from other modular blockchain platforms, which could affect its market share and growth prospects.
🧠 Conclusion
INIT presents a compelling opportunity in the modular blockchain space, with potential for significant growth if it successfully executes its roadmap and navigates market challenges. While forecasts suggest substantial upside, investors should conduct thorough research and consider inherent risks before investing.
$INIT