Cached score snapshot
US.MLM · Martin Marietta Materials
110分制 56.8/110;5D動能v2 3/50;排序分 59.8/160
Score breakdown
觀望
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 | -0.39% | -2.21% / +1.43% | 44.4% | 4.4% | Actual +0.89% · vs median +1.28% · inside 25-75 band |
| 30D observation | -3.11% | -7.58% / +1.72% | 35.4% | 35.2% | Actual outcome pending · 10 / 30 bars observed |
| Historical projection 10D n=160 | -0.57% | -2.69% / +1.13% | 41.3% | 4.4% | Actual +8.60% · vs median +9.17% · 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。
2026-03-16 → 2026-07-22 · 355 archived points · 2 Improving turn signal · 5 Deteriorating signal · 1 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 18.6 · 資金流 13.2 · 5D動能v2 3
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 — 4.2/5 · 優秀
No sub-item breakdown recorded.
資金流 — 13.2/20 · 一般
No sub-item breakdown recorded.
市場環境 — 10/15 · 一般
No sub-item breakdown recorded.
催化劑 — 2/20 · 較差
No sub-item breakdown recorded.
風險管理 — 6.8/10 · 一般
No sub-item breakdown recorded.
技術信號 — 18.6/30 · 一般
No sub-item breakdown recorded.
情緒分析 — 2/10 · 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": "Medium",
"reason": "risk management score >= 6.5/10",
"position": {
"score": 1.6,
"details": {
"atrPct": 2.8618785495849712,
"turnoverUsdM": 272.73435,
"liquidityPoints": 0.6,
"volatilityPoints": 1
}
},
"rrPoints": 1.4,
"stopLevels": {
"symbol": "US.MLM",
"rr_range": "1:1.0-1:2.5",
"risk_profile": "中等",
"stop_loss_price": 539.4958,
"strength_details": {
"ma_score": 1,
"atr_score": 2,
"rsi_score": 3,
"macd_score": 2.5,
"volume_score": 1
},
"market_adjustment": 1,
"risk_reward_ratio": 1.2,
"stop_loss_percent": 5.7,
"take_profit_price": 612.1828,
"target_multiplier": 1.9,
"technical_strength": 1.93,
"take_profit_percent": 7
},
"positionPoints": 1.6,
"stopLossPoints": 1.8,
"diversification": {
"score": 2,
"details": {
"method": "sector concentration proxy; no portfolio holdings used",
"sector": "Materials",
"concentratedSectorPenalty": 0
}
},
"riskRewardRatio": 1.2229729317156275,
"stopLossPercent": 5.7237570991699425,
"diversificationPoints": 2
},
"total": {
"max": 160,
"result": 59.8,
"formula": "score_with_momentum_v2 = main_score + momentum_5d_v2_score",
"baseScore": 56.8,
"modelVersion": "cursor_18_27_news_v2_160",
"momentum5dScore": 3
},
"market": {
"ma20": 565.137,
"ma50": 592.1402,
"close": 572.25,
"prevClose": 553.98,
"avgVolume20": 569435,
"volumeRatio": 0.84,
"changePercent": 3.3
},
"sources": {
"catalyst": "finnhub_news_keyword_model",
"sentiment": "finnhub_news_keyword_model",
"fundamentals": "fmp_stable",
"institutional": null,
"marketContext": "twelvedata+fred"
},
"barCount": 240,
"momentum": {
"max": 50,
"result": 3,
"details": {
"ret_5d": -0.008111885464647028,
"raw_total": 3,
"vcp_bonus": 0,
"ret_points": 0,
"vol_points": 0,
"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": "觀望",
"result": 56.8,
"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": 4.2,
"資金流": 13.2,
"市場環境": 10,
"情緒分析": 2,
"技術信號": 18.6,
"風險管理": 6.8
},
"dimensionDetails": {
"催化劑": {
"max": 20,
"grade": "較差"
},
"基本面": {
"max": 5,
"grade": "優秀",
"source": "fmp_stable"
},
"資金流": {
"max": 20,
"grade": "一般"
},
"市場環境": {
"max": 15,
"grade": "一般"
},
"情緒分析": {
"max": 10,
"grade": "較差"
},
"技術信號": {
"max": 30,
"grade": "一般"
},
"風險管理": {
"max": 10,
"grade": "一般"
}
}
},
"modelVersion": "cursor_18_27_news_v2_160",
"providerErrors": [],
"rankingScoreMax": 160,
"dataCompleteness": {
"complete": true,
"missingFields": [],
"optionalInputs": [
"institutionalData"
]
}
}
Raw metrics JSON
{
"close": 572.25,
"volume": 476600,
"changePercent": 3.3
}
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.