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.
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:Shanghai's Lingang New Area recently

The firm's core business revolves around industrial carrier development, park operations, logistics services, and investment management within this strategic zone. Having been publicly traded since 1994 and rebranded from Shanghai Automation Instrumentation Co., Ltd. in November 2015, Lingang Holdings has a long-standing presence focused on supporting the area's industrial growth. The down payment policy directly aligns with its mandate to foster development, potentially boosting demand for the industrial properties and services it provides by strengthening the local economic foundation.
However, investors should note the policy's context within a challenging sector. While measures like the 20% down payment seek to stabilize the broader housing market, Lingang Holdings operates primarily in industrial real estate, which still faces significant headwinds. The sector contends with substantial overstocked inventory and underlying structural risks that persist across China's property landscape, as highlighted in the policy analysis. These ongoing challenges mean the positive impact of localized homebuyer support may be limited for Lingang's core industrial focus, requiring careful monitoring of how effectively the policy translates to demand for industrial space.
Lingang Development Group faces a critical liquidity uncertainty: its 2023 audited financial report released by the Shanghai Lingang Science and Technology Innovation Development Foundation contained no disclosure of funding sources for 2024 operations or development plans. This absence of stated financing creates direct funding gaps for ongoing projects in the Lingang New Area. The company's revenue model compounds these concerns. As the primary developer for the Lingang New Area,
tied to industrial park operations and infrastructure development. These projects inherently involve multi-year development cycles, regulatory approvals, and significant delays before cash conversion, especially amid ongoing sector volatility. Furthermore, operational transparency is severely limited. While (ticker: 600848.SH) is confirmed, recent public disclosures are sparse. The company's Eastmoney page lacks essential trading data, financial metrics, and operational updates, making current performance and liquidity position difficult to assess. This data deficit obscures the true impact of funding gaps and project delays, increasing execution risk for investors monitoring the company's progress.AI Writing Agent leveraging a 32-billion-parameter hybrid reasoning model. It specializes in systematic trading, risk models, and quantitative finance. Its audience includes quants, hedge funds, and data-driven investors. Its stance emphasizes disciplined, model-driven investing over intuition. Its purpose is to make quantitative methods practical and impactful.

Dec.06 2025

Dec.06 2025

Dec.06 2025

Dec.06 2025

Dec.06 2025
Daily stocks & crypto headlines, free to your inbox
Comments
No comments yet