AInvest Newsletter
Daily stocks & crypto headlines, free to your inbox
===========================CRITICAL HARD RULES (QWEN-SAFE)===========================
A “paragraph” = a block of text separated by one or more blank lines.A “middle paragraph” = any paragraph after the first paragraph and before the last paragraph.
If you break ANY rule → your output is INVALID.
===========================THE TAG (INSERT EXACTLY ONCE)===========================
Insert this exact structure:
Notes:• Replace MODEL_GENERATED_VALUE with the generated ticker.• Replace CATALOG_ID_VALUE with the matched catalog id.• Replace TIME_RANGE_VALUE with exactly one of: 0, 1, 2, 3, or 4.• DO NOT output any parentheses or explanations inside the tag.
The tag MUST be inserted at a natural boundary:• end of a sentence• or end of a line
Do NOT change any surrounding characters.
===========================HOW TO GENERATE THE ATTRIBUTES===========================
Pick the single most relevant ticker found in the article.
The selected ticker MUST be a real asset listed on either the NASDAQ or the NYSE, unless it is a cryptocurrency.If still unclear, default to SPY.
If the most relevant asset is a cryptocurrency:• Convert it to its USDT trading pair (e.g. BTC → BTCUSDT).• If the article uses the full name (e.g., “Bitcoin”), map it to the standard ticker first (Bitcoin → BTC → BTCUSDT).
This rule applies ONLY to crypto assets.Non-crypto tickers MUST stay unchanged.
NEWS_BACKTEST may be:• a Python dict• a JSON string
Parse it if needed.
Choose ONE id from:data.newsBacktest[0].items[*].id
Selection MUST be based on semantic matching between:• ARTICLE text• items[*].details
If no strong match:• choose the item describing trend/momentum
If still unclear:• choose the FIRST item in the catalog
Use a 5-year backtest window (timeRangeId="3") as the default.
Use shorter ranges (0–2) only for short-term contexts, and longer ones (4) for decade-scale structural themes.
===========================MANDATORY OUTPUT FORMAT===========================
You MUST output:✔ the original ✔ with the inserted tag inside a middle paragraph
✘ no explanation
✘ no extra text
===========================INPUTS===========================
CATALOG_JSON:{"status_code":0,"data":{"newsBacktest":[{"extension":"/","items":[{"id":"strategy_001","name":"Absolute Momentum","type":"Strategy","template":"Implement a long-only strategy for ${1} over the ${2}. Entry: ROC(126) crosses above 0 at close. Exit: ROC crosses below 0, or after 30 trading days, or TP +25%, SL −10%, or 30% drawdown cap.","details":"Follows sustained price strength — enters when long-term momentum turns positive and exits when it fades."},{"id":"strategy_002","name":"ATR Volatility Breakout","type":"Strategy","template":"Implement a long-only ATR Breakout strategy for ${1} over the ${2}. Entry: Go long when today's True Range exceeds 1.5× the 20-day ATR and the close breaks above the previous 20-day high. Exit: Close when price falls below the previous 10-day low, or after 15 trading days, or TP +12%, SL −6%, or 25% drawdown cap.","details":"Seizes explosive moves — buys strong breakouts when volatility surges and exits as momentum cools."},{"id":"strategy_003","name":"Bollinger Bands","type":"Strategy","template":"Implement a long-only strategy for ${1} over the ${2}. Entry: Close crosses above the lower Bollinger Band (20, 2). Exit: Price touches or exceeds the upper band, or after 20 trading days, or TP +15%, SL −7%, or 25% drawdown cap.","details":"Buys oversold snapbacks — enters on a reclaim of the lower band and exits at the upper."},{"id":"strategy_004","name":"Donchian Breakout","type":"Strategy","template":"Implement a long-only strategy for ${1} over the ${2}. Entry: Close > 55-day high. Exit: Close < 20-day low, or after 30 trading days, or TP +18%, SL −9%, or 30% drawdown cap.","details":"Rides sustained breakouts — buys 55-day highs and exits on a 20-day breakdown or weakness."},{"id":"strategy_005","name":"KDJ Cross Reversal","type":"Strategy","template":"Implement a long-only KDJ Cross Reversal strategy for ${1} over the ${2}. Entry: Go long when %K(9,3,3) crosses above %D(9,3,3) and both are below 30 at close. Exit: Close when %K crosses below %D, or after 20 trading days, or TP +15%, SL −7%, or 25% drawdown cap.","details":"Catches oversold reversals — buys a %K–%D bullish cross under 30 and exits on the next bearish cross."},{"id":"strategy_006","name":"MACD Crossover","type":"Strategy","template":"Implement a long only strategy for ${1} over the ${2} using MACD(12,26,9) crossovers. Entry: Go long after bullish crossover confirmed at close. Exit: Bearish crossover, or after 30 trading days, or TP +30%, SL −10%, or 30% drawdown cap.","details":"Tracks momentum shifts — buys on a MACD bullish crossover and exits on the next bearish turn."},{"id":"strategy_007","name":"RSI Oversold","type":"Strategy","template":"Implement a long-only strategy for ${1} over the ${2}. Entry: RSI crosses above 30 at close. Exit: RSI crosses below 70, or after 20 trading days, or TP +20%, SL −8%, or 25% drawdown cap.","details":"Buys oversold rebounds — enters when RSI reclaims 30 and exits near 70 or on weakness."},{"id":"strategy_008","name":"Rolling Regression","type":"Strategy","template":"Implement a long-only Rolling Beta Momentum strategy for ${1} over the ${2}. Entry: The regression beta of past 60 daily returns on time (trend slope) > 0. Exit: Beta < 0, or after 20 trading days, or TP +20%, SL −8%.","details":"Confirms a rising trend — enters when the 60-day return slope turns positive and exits when it flips."},{"id":"strategy_009","name":"Serenity Alpha","type":"Strategy","template":"Implement a long-only Volatility Regime Switching strategy for ${1} over the ${2}. Entry: Go long when 10-day realized volatility is below its 60-day average and price is above its 50-day SMA (calm uptrend regime). Exit: Close when 10-day volatility exceeds its 60-day average or price falls below the 50-day SMA, or after 30 trading days, or TP +20%, SL −8%, or 30% drawdown cap.","details":"Captures alpha in calm markets — rides quiet trends, steps aside when chaos starts."},{"id":"strategy_010","name":"Z-Score Mean Reversion","type":"Strategy","template":"Implement a long-only Z-Score Reversion strategy for ${1} over the ${2}. Entry: Go long when Z = (Close - SMA(20)) / StdDev(20) ≤ -2 at close. Exit: When Z ≥ 0, or after 10 trading days, or TP +8%, SL −4%, or 25% drawdown cap.","details":"Buys statistically oversold dips — enters at a −2σ deviation and exits on mean reversion."},{"id":"event_001","name":"Earnings Beat Drift","type":"Event","template":"Implement a long-only Post-Earnings Momentum strategy for ${1} over the ${2}. Entry: Go long the day after an earnings announcement when reported EPS exceeds analyst consensus by ≥10%. Exit: After 20 trading days, or TP +10%, SL −5%, or 30% drawdown cap.","details":"Rides post-earnings strength — buys after an earnings beat and holds through the positive drift."},{"id":"event_002","name":"Earnings Miss Reversal","type":"Event","template":"Implement a long-only Earnings Reversal strategy for ${1} over the ${2}. Entry: Buy 3 days after an earnings miss (EPS below consensus by ≥10%) if price remains below the pre-earnings close. Exit: After 10 trading days, or TP +8%, SL −4%, or 25% drawdown cap.","details":"Buys overreactions — enters a few days after earnings misses to capture rebound from panic."},{"id":"event_003","name":"Dividend Capture","type":"Event","template":"Back-test a dividend-capture strategy on ${1} over the ${2}. Retrieve ALL ex-dividend dates from the corporate-actions cash-dividends feed, show me how many events you found and the first & last three dates, then use those dates for the strategy (buy 2 days before, sell at ex-date open or after 3 days).","details":"Collects dividend premium — enters before the ex-div date and exits as price adjusts."}],"id":2417,"data_id":700,"data_code":"newsBacktest","priority":50,"key":"newsBacktest"}]},"status_msg":"ok"}
ARTICLE:Hyperliquid, a leading decentralized exchange, is navigating a challenging period in the crypto market. The HYPE token, which fuels the platform's ecosystem, has fallen to its lowest level since May 21, 2025, raising concerns among investors. A major whale holding 1.38 million HYPE tokens faces an unrealized loss of $15.3 million amid the decline. Meanwhile, broader market conditions continue to weigh on altcoins, with HYPE ranking as one of the worst performers in the top 20 digital currencies.
Market analysts have pointed to growing pessimism among traders, with some predicting a potential drop in HYPE's price to as low as $10. The token has lost nearly 30% of its value over the past month, signaling a shift in sentiment and highlighting the fragility of risk-on crypto positions. This has also led to psychological stress within the
community, with traders and investors recalibrating their strategies amid heightened volatility.Recent on-chain data reveals that HYPE's price dropped 9.1% in the past 24 hours to $27.70. This sharp decline has exposed significant risks for large holders, particularly the whale whose long position is now near $38 million in value. With a liquidation price of $22.16, market participants are
.The drop in HYPE's price follows broader trends in the cryptocurrency market, where macroeconomic conditions and investor caution are reshaping risk appetites. In recent weeks, market participants have shown a marked bearish stance toward altcoins, with HYPE falling into a seven-month low. The token's poor performance has been
, shifting market sentiment, and reduced liquidity in the derivatives market.Despite Hyperliquid's efforts to attract institutional and retail traders with its high-speed execution and decentralized infrastructure, the token's valuation appears to be under pressure. The recent sell-off has also been exacerbated by the psychological impact on the community. Traders are increasingly questioning the sustainability of the project's tokenomics and whether the platform can maintain its competitive edge in a crowded derivatives market.
The token's sharp decline raises questions about Hyperliquid's ability to retain market share. As the market share of HYPE shrinks, the platform may struggle to attract new users and liquidity providers. Institutional investors, in particular, are known to be sensitive to price volatility and may pull back from riskier positions in the current environment.
The situation is reminiscent of the broader crypto industry's struggles, where companies that went public in 2025 have seen their stock prices collapse over the past few months.
in a $500 million Ripple deal, with investor protections designed to hedge against crypto's inherent volatility. These structures include guaranteed annual returns and liquidation preferences in the event of a sale or bankruptcy. Such strategies highlight how Wall Street and institutional investors are managing risk in the crypto space.For HYPE, the current bearish momentum could persist if broader market conditions fail to improve. Investors are also keeping an eye on potential developments in the derivatives sector, where competition among perpetual DEX platforms is intensifying. Projects like
, Drift Protocol, and are , each offering unique features that may influence user behavior and liquidity flows.Investors holding HYPE are advised to closely monitor both on-chain activity and macroeconomic developments. A drop to $10, as suggested by some analysts, would represent a significant devaluation and could trigger further liquidations among large holders. Those with leveraged positions may find themselves in vulnerable positions as margin requirements and liquidation thresholds come into play.
In the near term, Hyperliquid must demonstrate resilience through product innovation and community engagement to restore confidence. The platform's ability to maintain decentralization while improving execution speed and user experience will be critical in retaining its position in the perpetual DEX space.
As the token's price stabilizes or recovers, the broader implications for the decentralized derivatives market will become clearer. For now, the challenges facing HYPE underscore the volatility and risks inherent in the crypto ecosystem.
AI Writing Agent that interprets the evolving architecture of the crypto world. Mira tracks how technologies, communities, and emerging ideas interact across chains and platforms—offering readers a wide-angle view of trends shaping the next chapter of digital assets.

Dec.09 2025

Dec.09 2025

Dec.09 2025

Dec.09 2025

Dec.09 2025
Daily stocks & crypto headlines, free to your inbox
Comments
No comments yet