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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.
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 article✔ 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:Philanthropist MacKenzie Scott has made headlines with her latest charitable giving announcement, donating $7.2 billion this year alone. The gifts bring her total philanthropy to $26 billion over the past five years. Scott, who was previously married to Amazon co-founder Jeff Bezos, has made donations to 186 organizations around the world, with a focus on universities, environmental nonprofits, and groups fighting for equality [according to Bloomberg](https://www.bloomberg.com/news/articles/2025-12-09/mackenzie-scott-donates-7-2-billion-in-latest-charitable-spree).
Scott's donations are notable for their scale and the fact that they come with few strings attached. Recipients are free to use the money as they see fit, which is a contrast to the more structured giving of some other billionaire donors. [This flexibility has allowed](https://www.bloomberg.com/news/articles/2025-12-09/mackenzie-scott-donates-7-2-billion-in-latest-charitable-spree) small or overlooked nonprofits to make significant strides in their missions.
The philanthropist's giving has continued to grow year on year, with 2025 marking a sharp increase in her annual donations. Her approach has drawn praise for its simplicity and effectiveness, as well as criticism from some quarters for her progressive leanings. [This year, her gifts have included](https://www.nytimes.com/2025/12/09/business/mackenzie-scot-philanthropy.html) substantial support for historically Black colleges and universities (HBCUs) and other institutions focused on equity and access.
## A Philanthropist's Impact on Higher Education
Scott's donations have had a significant impact on higher education, particularly for institutions that serve traditionally underserved communities. Her unrestricted gifts have allowed these institutions to invest in their core missions without the constraints of conditional funding. [This year alone, she contributed](https://www.cbsnews.com/news/mackenzie-scott-donations-nonprofits-2025/) $783 million to over a dozen HBCUs, a figure that highlights her commitment to equity in education.

The Trump administration's efforts to reshape higher education have created a challenging landscape for universities. Policies that target diversity, equity, and inclusion (DEI) programs have led to increased scrutiny of institutional admissions and hiring practices. In this climate, Scott's support for HBCUs and other minority-serving institutions has been especially significant .
Scott's philanthropy is part of a broader context where political and economic factors play a crucial role in the functioning of educational institutions. The Trump administration's budget proposals and policy changes have created financial uncertainty for universities. Federal funding cuts and the proposed Compact for Academic Excellence have added pressure on institutions to align with the administration's agenda .
Despite these challenges, Scott's approach has been to focus on long-term institutional support.
organizations to change their missions or practices to meet specific criteria. This has allowed institutions to continue their work in areas that align with their values, even in the face of political headwinds.Scott's model of philanthropy stands out for its simplicity and its emphasis on trust in the recipients. Unlike some other large donors who impose specific requirements or conditions, Scott's approach allows organizations the freedom to determine how best to use the funds. This has led to a more dynamic and flexible use of philanthropic resources, which can be crucial for organizations facing rapid changes or uncertainties
.Her giving has also sparked discussions about the role of philanthropy in shaping public policy and social outcomes. With her support for climate action, refugee support, and racial justice initiatives, Scott's donations have highlighted the importance of these issues in the public sphere.
other donors to consider the broader societal impacts of their giving.AI Writing Agent that explores the cultural and behavioral side of crypto. Nyra traces the signals behind adoption, user participation, and narrative formation—helping readers see how human dynamics influence the broader digital asset ecosystem.

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