Cached score snapshot
US.LULU · Lululemon Athletica
110分制 38.8/110;5D動能v2 7/50;排序分 45.8/160
Score breakdown
避免
Score and price trend
Main score, 5D momentum v2, close price, and improving or exit-review turn signals are plotted from archived daily snapshots.
Move the mouse over the chart lines to inspect readings.
- Main score
- 5D momentum v2
- Candlestick
- Historical projection
- Score turn
- Setup grade
| Model | Median | P25/P75 | 歷史相似情境上漲比例 | Down5 | Actual / compare |
|---|---|---|---|---|---|
| Rolling DOE best | -1.19% | -3.65% / +1.52% | 39.2% | 13.3% | Actual -6.64% · vs median -5.45% · inside 25-75 band |
| 30D observation | +0.41% | -5.15% / +4.69% | 51.7% | 26.7% | Actual -11.81% · vs median -12.22% · inside 25-75 band |
| Historical projection 10D n=160 | -0.81% | -3.36% / +1.79% | 41.3% | 10.6% | Actual -12.27% · vs median -11.46% · inside 25-75 band |
歷史情境統計基於已存檔相似 setup;圖中投影中位線為統計中位數的線性插值展示,並非價格路徑預測或買賣建議。
2026-02-03 → 2026-06-24 · 98 archived points · 2 Improving turn signal · 6 Deteriorating signal · 5 Exit review signal
Summary
score_with_momentum_v2 = main score + 5D momentum v2
Rolling setup rating
Setup quality, historical edge, and risk are combined into a rolling S/A/B/C/D/F grade for this snapshot date.
Score turn monitor
Has the score quality changed?
Run more market refreshes to build enough archived points for a turn check.
Signals
技術信號 10.8 · 市場環境 8.6 · 5D動能v2 7
Audit trace
Full calculation detail
Calculation detail · 4 sections
Market inputs
Metrics snapshot
110-point main rating
基本面5 + 資金流20 + 市場環境15 + 催化劑20 + 風險管理10 + 技術信號30 + 情緒10
基本面 — 3.4/5 · 一般
No sub-item breakdown recorded.
資金流 — 5.2/20 · 較差
No sub-item breakdown recorded.
市場環境 — 8.6/15 · 較差
No sub-item breakdown recorded.
催化劑 — 2/20 · 較差
No sub-item breakdown recorded.
風險管理 — 5.9/10 · 較差
No sub-item breakdown recorded.
技術信號 — 10.8/30 · 較差
No sub-item breakdown recorded.
情緒分析 — 3/10 · 較差
No sub-item breakdown recorded.
5D momentum v2 breakdown
Cursor_18.25 5D momentum v2 0-50
Risk management
position
details
stopLevels
strength_details
diversification
details
Raw calculation JSON
{
"risk": {
"level": "Elevated",
"reason": "risk management score >= 5/10",
"position": {
"score": 1.3,
"details": {
"atrPct": 4.673132599884192,
"turnoverUsdM": 466.138024,
"liquidityPoints": 0.6,
"volatilityPoints": 0.7
}
},
"rrPoints": 1.4,
"stopLevels": {
"symbol": "US.LULU",
"rr_range": "1:1.0-1:2.5",
"risk_profile": "中等",
"stop_loss_price": 125.2472,
"strength_details": {
"ma_score": 1,
"atr_score": 1,
"rsi_score": 2.5,
"macd_score": 1,
"volume_score": 2
},
"market_adjustment": 1,
"risk_reward_ratio": 1,
"stop_loss_percent": 9.3,
"take_profit_price": 150.4272,
"target_multiplier": 1.9,
"technical_strength": 1.5,
"take_profit_percent": 8.9
},
"positionPoints": 1.3,
"stopLossPoints": 1.2,
"diversification": {
"score": 2,
"details": {
"method": "sector concentration proxy; no portfolio holdings used",
"sector": "Consumer Discretionary",
"concentratedSectorPenalty": 0
}
},
"riskRewardRatio": 1.2,
"stopLossPercent": 9.346265199768384,
"diversificationPoints": 2
},
"total": {
"max": 160,
"result": 45.8,
"formula": "score_with_momentum_v2 = main_score + momentum_5d_v2_score",
"baseScore": 38.8,
"modelVersion": "cursor_18_27_news_v2_160",
"momentum5dScore": 7
},
"market": {
"ma20": 156.981,
"ma50": 163.5688,
"close": 138.16,
"prevClose": 142.39,
"avgVolume20": 2710275,
"volumeRatio": 1.24,
"changePercent": -2.97
},
"sources": {
"catalyst": "finnhub_news_keyword_model",
"sentiment": "finnhub_news_keyword_model",
"fundamentals": "fmp_stable",
"institutional": null,
"marketContext": "twelvedata+fred"
},
"barCount": 212,
"momentum": {
"max": 50,
"result": 7,
"details": {
"ret_5d": -0.15472621596818592,
"raw_total": 7,
"vcp_bonus": 0,
"ret_points": 0,
"vol_points": 4,
"breakout_points": 0
},
"formula": "Cursor_18.25 5D momentum v2 0-50",
"modelVersion": "cursor_18_27_news_v2_160"
},
"scoreMax": 110,
"momentumMax": 50,
"scoreStatus": "checked",
"standard110": {
"rating": "避免",
"result": 38.8,
"formula": "基本面5 + 資金流20 + 市場環境15 + 催化劑20 + 風險管理10 + 技術信號30 + 情緒10",
"dimensionScores": {
"催化劑": 2,
"基本面": 3.4,
"資金流": 5.2,
"市場環境": 8.6,
"情緒分析": 3,
"技術信號": 10.8,
"風險管理": 5.9
},
"dimensionDetails": {
"催化劑": {
"max": 20,
"grade": "較差"
},
"基本面": {
"max": 5,
"grade": "一般",
"source": "fmp_stable"
},
"資金流": {
"max": 20,
"grade": "較差"
},
"市場環境": {
"max": 15,
"grade": "較差"
},
"情緒分析": {
"max": 10,
"grade": "較差"
},
"技術信號": {
"max": 30,
"grade": "較差"
},
"風險管理": {
"max": 10,
"grade": "較差"
}
}
},
"modelVersion": "cursor_18_27_news_v2_160",
"providerErrors": [],
"rankingScoreMax": 160,
"dataCompleteness": {
"complete": true,
"missingFields": [],
"optionalInputs": [
"institutionalData"
]
}
}
Raw metrics JSON
{
"close": 138.16,
"volume": 3373900,
"changePercent": -2.97
}
Scores are derived from cached daily market data using the Cursor_18.25 standard. Solorank.ai provides research support only and does not provide financial advice or buy/sell recommendations.