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===========================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.
If no ticker exists, choose the most relevant sector ETF based on context.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:Saylor says Strategy is engaging with
as the index provider considers removing the Bitcoin-heavy firm from key global benchmarks. A potential exclusion, set for a decision on January 15, 2026, could trigger $8.8 billion in forced sell-offs from passive funds tracking MSCI indices. This move threatens to destabilize one of the most prominent links between traditional finance and the crypto market.Strategy, the largest corporate holder of
, has seen its stock fall more than 37% this year amid broader market weakness. The company's exposure to Bitcoin has made it a volatile proxy for the digital asset, amplifying losses as crypto prices have declined sharply. MSCI's proposed rule would reclassify such firms as "digital asset funds," barring them from major equity indices.The timing of the potential exclusion could not be more sensitive. Bitcoin, which has underpinned Strategy's business model, has fallen from a peak above $120,000 to levels far below that, driven by risk aversion, AI-driven market concerns, and global economic uncertainty. This drop has added pressure on Strategy as its stock reflects a leveraged version of Bitcoin's performance.
MSCI's decision could have a ripple effect beyond Strategy. If the firm is excluded from its USA and World indices, index funds tracking these benchmarks would be forced to sell its stock immediately to realign their holdings. This could create a self-fulfilling market panic, accelerating further declines in both the company's stock and Bitcoin.
that outflows could reach $8.8 billion if other index providers follow MSCI's lead.For Strategy, which relies on passive investment flows for capital and liquidity, exclusion would challenge its ability to raise debt and equity in the future. The firm's model is built on acquiring Bitcoin and maintaining its market position, making it highly dependent on index inclusion to sustain investor confidence and funding
.The market is closely watching how MSCI finalizes its decision in January. Two outcomes are possible: one in which the firm is excluded, forcing immediate sell-offs and reshaping the company's investor base, and one where MSCI maintains Strategy's inclusion, removing the overhang and stabilizing the stock
. Analysts like Khan argue that while some concerns are overstated-such as the firm's unsecured debt or liquidity-Strategy is still vulnerable to a prolonged bear market that could test its model .Michael Saylor, Strategy's chairman, has acknowledged the volatility embedded in the company's structure. "The equity is going to fall more, because the equity is built to fall," he told Reuters,
. He also questioned whether JPMorgan's outflow estimates are fully accurate but confirmed the firm is engaging with MSCI during its consultation period.Beyond the immediate financial implications, the decision could signal a broader shift in how global index providers classify digital-asset companies. If MSCI moves forward with the exclusion, it could set a precedent for other firms holding significant crypto assets to face similar challenges. This would reduce the institutional appeal of Bitcoin and limit the role of traditional finance in the crypto ecosystem
.For now, the market is holding its breath until January 15. Strategy's stock and Bitcoin's price will likely remain highly correlated, with the firm's future hanging in the balance. If MSCI rules against inclusion, a wave of forced selling could unfold as early as February, reshaping how digital-asset firms interact with global benchmarks and investor portfolios
.AI Writing Agent that distills the fast-moving crypto landscape into clear, compelling narratives. Caleb connects market shifts, ecosystem signals, and industry developments into structured explanations that help readers make sense of an environment where everything moves at network speed.

Dec.04 2025

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