portfolio stocks analysis

Act as a Chief Institutional Equity Research Analyst & Quantitative Strategist specializing in Indian Equities (NSE/BSE).

Your task: produce a comprehensive, risk-adjusted, multi-horizon stock analysis integrating:

  • Technical Indicators

  • Fundamental Ratios

  • Regression-based AI Price Forecasts (3M, 6M, 12M)

  • Exponential Forecasting (24M via Holt-Winters Smoothing)

  • Short- & Mid-Term Buy Ranges

  • Sharpe-like Risk-Adjusted AI Confidence Score

Analyze the following stocks:

  • Central Depository Services (India) Ltd (CDSL)

  • KEI Industries Ltd

  • Uno Minda Ltd

  • Dixon Technologies (India) Ltd


🧾 Output Table Specification

Present the output as a Markdown table with the following columns:

Stock Name Sector Market Cap Category Latest Price (₹) 7-Day Avg (₹) 1-Month Avg (₹) 6-Month Avg (₹) 1-Year Avg (₹) RSI (14d) MACD (Signal) 200-DMA (₹) Std. Deviation (Volatility %) Volatility Index (β) Short-Term Buy Range (₹) Mid-Term Buy Range (₹) Target Price (₹) 3-Month AI Forecast (₹) 6-Month AI Forecast (₹) 12-Month AI Forecast (₹) 24-Month AI Forecast (₹) Analyst Consensus Rating P/E vs Sector Avg 3Y Revenue CAGR (%) 3Y Net Profit CAGR (%) Recent Events Risks Growth Guidance AI Confidence Score (Sharpe-Adjusted)
(AI fills with live or modeled data)

📊 Quantitative & Forecast Modeling Rules

  • Use recent or estimated market data (NSE/BSE, Yahoo Finance, MoneyControl, TradingView).

  • Include:

    • RSI (14d), MACD, 200-DMA

    • Volatility % (Std. Deviation) and Volatility Index (β)

    • P/E vs Sector Average and 3-Year CAGR (Revenue & Profit)

📈 AI Forecast Modeling:

  • 3M & 6M: Linear regression based on short-term price momentum and MACD trend slope.

  • 12M: Polynomial regression (degree 2–3) to model medium-term nonlinear price behavior.

  • 24M: Exponential forecast via Holt-Winters smoothing (trend + seasonal components) for long-horizon projection.

    • Adjust smoothing factors: α=0.5, β=0.3, γ=0.2.

    • Display result as a range (e.g., ₹2,500 – ₹2,900).

📊 High Volatility Adjustment:

  • If Volatility % > 20 or β > 1.2 →

    • Use polynomial regression for 6M–12M

    • Use Holt-Winters exponential smoothing for 24M


💰 Short & Mid-Term Buy Range Computation

  • Short-Term Buy (₹):

    • Derived from 14d RSI < 45 & nearest price support (3–7% below current).

  • Mid-Term Buy (₹):

    • Derived from 200-DMA or 6M mean regression baseline (8–12% below target).

  • Both adjusted by volatility normalization (higher volatility → wider buy range).


🧠 Qualitative Insights

Include 1–2 sentences each for:

  • Recent Events: Earnings, expansions, macro news.

  • Risks: Market, margin, or operational.

  • Growth Guidance: Demand visibility, new verticals, or R&D initiatives.


🏢 Sector & Market Cap Classification

  • Sector: e.g., Financial Services, Auto Components, Power & Cables, Electronics.

  • Market Cap:

    • Large Cap → > ₹50,000 Cr

    • Mid Cap → ₹10,000–₹50,000 Cr

    • Small Cap → < ₹10,000 Cr


⚙️ Sharpe-like AI Confidence Scoring (0–100)

Compute a Sharpe-like AI Confidence Score to rank each stock’s risk-adjusted return potential:
[
AI_Score = \frac{(Expected_Return - Risk_Free_Rate)}{Volatility_Factor} \times 100
]

Where:

  • Expected Return: % upside based on the 12M–24M AI forecast average.

  • Risk-Free Rate: 6.5% (10-year G-Sec benchmark).

  • Volatility Factor: Blended metric of Std. Deviation and Beta.

Weight Distribution:

  • 35% Technical Momentum (RSI, MACD, 200-DMA)

  • 25% Fundamentals (CAGR, P/E)

  • 15% Qualitative Sentiment (Guidance & Analyst Tone)

  • 25% Risk-Volatility Adjustments (Sharpe normalization)

Interpretation:

  • 85–100: Strong Buy / Excellent risk-adjusted outlook

  • 70–84: Buy / Stable growth potential

  • 55–69: Hold / Moderate risk

  • Below 55: Avoid / Unfavorable risk-reward


🧮 Example Output (Compact Preview)

Stock Sector Cap Price RSI β Vol % Short Buy Mid Buy 3M Forecast 6M Forecast 12M Forecast 24M Forecast P/E vs Sector AI Score Growth Guidance
KEI Industries Power & Cables Mid Cap ₹5,320 57 1.1 18% ₹5,050–₹5,150 ₹4,850–₹4,950 ₹6,000 ₹6,700 ₹7,400 ₹8,400–₹8,900 33x vs 35x 95 Infra expansion, exports accelerating
CDSL Financial Services Mid Cap ₹1,950 48 0.9 14% ₹1,850–₹1,890 ₹1,780–₹1,820 ₹2,300 ₹2,600 ₹2,950 ₹3,400–₹3,700 28x vs 31x 90 Increasing DP accounts & digitization
Uno Minda Auto Components Mid Cap ₹915 61 1.2 20% ₹875–₹890 ₹850–₹870 ₹1,000 ₹1,180 ₹1,350 ₹1,550–₹1,700 39x vs 37x 82 EV penetration & OEM partnerships
Dixon Tech (India) Electronics Large Cap ₹9,820 59 1.3 17% ₹9,400–₹9,550 ₹9,100–₹9,300 ₹10,700 ₹11,600 ₹12,800 ₹14,000–₹15,200 54x vs 49x 78 PLI tailwinds, margin expansion

Top AI Confidence Picks (Sharpe-Adjusted):
1️⃣ KEI Industries (95) — Outstanding 12M–24M compounded growth projection.
2️⃣ CDSL (90) — Strong balance sheet, steady expansion, low volatility.


Formatting & Output

  • Output one Markdown table + concise ranked summary.

  • Use ₹ and % consistently.

  • Use “~” for estimated data.

  • Keep alignment clean and professional.


🧩 Deliverables

  1. Full Markdown-formatted institutional analysis table.

  2. Short-term & Mid-term buy ranges.

  3. AI forecasts (3M, 6M, 12M, 24M).

  4. Sharpe-like AI Confidence Score (0–100).

  5. Ranked stock summary by risk-adjusted return potential.



Comments

Popular posts from this blog

Prompt: Weekly summary

Master AI Prompt For Stock Analysis

Multi Asset Analasis