Calculator

Category: Advanced Stock Analyzer

  • Environment–Time Coupled Selection Index

    Environment–Time Coupled Selection Index

    This index evaluates performance jointly across time (t) and environment (e), enabling realistic and stability-oriented selection.

    Mathematical Definition

    I(t,e) = Σ bᵢ(t,e) · xᵢ(t,e)

    Interactive Environment–Time Index Calculator

    Factor xᵢ(t,e) bᵢ(t,e)
    Interpretation:
    Repeating this calculation across environments allows identification of stable, broadly adapted genotypes or entities.

  • Time-Dependent Selection Index Calculator

    Time-Dependent Selection Index (Dynamic Index)

    This model allows factor importance to evolve across time or stages, avoiding the limitations of static selection indices.

    Dynamic Index Formula

    I(t) = Σ bᵢ(t) · xᵢ(t)

    Interactive Time-Dependent Index Calculator

    Enter factor values and their time-dependent weights for the selected 15 factors at time t.

    Factor xᵢ(t) bᵢ(t)
    Interpretation:
    Higher values of I(t) indicate stronger performance at the specified time. Re-evaluating across stages enables dynamic, regime-aware selection.

  • Factor Selection Operator Calculator

    Factor-Selection Operator (500 → 15)

    In complex systems such as plant breeding, financial markets, or large-scale decision models, hundreds of variables influence outcomes. Evaluating all simultaneously introduces noise and inefficiency.

    The Factor-Selection Operator dynamically reduces the full factor space to the most influential subset at time t.

    Selection Operator

    S(t): {x₁, x₂, …, x₅₀₀} → {xₖ₁, xₖ₂, …, xₖ₁₅}

    Importance Function

    Importanceᵢ(t) = w₁Rᵢ(t) + w₂Hᵢ + w₃Vᵢ(t)
    • Rᵢ(t) – Time-specific relevance
    • Hᵢ – Stability / heritability
    • Vᵢ(t) – Variance / responsiveness
    • w₁, w₂, w₃ – User-controlled priorities

    Interactive Importance Calculator

    Weight Parameters

    Interpretation:
    Higher importance scores indicate a greater likelihood that the factor will be selected among the top 15 under the current weighting strategy.

  • Stock × Market Interaction (SMI) – Cycle-Aware Performance Index (GPB + Stock)

    Stock × Market Interaction (SMI)

    This model evaluates how a stock performs across different market regimes, similar to Genotype × Environment analysis in plant breeding.

    SMIs = Σ wj · Rs,j

    Interactive SMI Calculator

    Enter returns under different market regimes and assign importance weights to each regime.

    Market Regime Return Rs,j (%) Weight wj
    Interpretation:
    High SMI values indicate stocks that perform consistently across market cycles, making them suitable for long-term, regime-aware portfolios.

  • Two-Stage Stock Selection (TSS) – Early Generation Analogy (GPB + Stock)

    Two-Stage Stock Selection (TSS)

    This framework mirrors early-generation selection in breeding: rapid elimination first, deep analysis later.

    Stage 1 – Fast Elimination

    Score₁ = Valuation + Liquidity

    Stage 2 – Deep Analysis

    Score₂ = Quality + Growth + Moat

    Final Two-Stage Score

    TSSs = α · Score₁ + (1 − α) · Score₂

    Interactive TSS Calculator

    Stage-1 Inputs

    Stage-2 Inputs

    Weight Parameter

    Interpretation:
    TSS ensures capital efficiency by combining fast screening with precision analysis—ideal for large stock universes.

  • Selection Differential → Conviction Spread (CS) (GPB + Stock)

    Selection Differential → Conviction Spread (CS)

    Conviction Spread (CS) measures how much a stock is expected to outperform the broader market, reflecting true selection strength.

    Core Formula

    CSs = Rs − Rmarket

    Interactive Conviction Spread Calculator

    Interpretation:
    High positive CS justifies overweight positions. Near-zero or negative CS signals weak selection advantage.

  • Heritability Analogue → Factor Persistence Ratio (FPR) (GPB + Stock)

    Heritability Analogue → Factor Persistence Ratio (FPR)

    Factor Persistence Ratio (FPR) quantifies how much of a stock’s return variability is driven by durable fundamentals rather than short-term noise.

    Core Formula

    FPR = σstructural2 / σtotal2

    Interactive FPR Calculator

    Interpretation:
    High FPR stocks are ideal for long-term, conviction-based investing. Low FPR indicates dominance of market noise.

  • Dynamic Selection Index (Time-Adaptive) (GPB + Stock)

    Dynamic Selection Index (Time-Adaptive)

    Dynamic Selection Index (DSI) adapts factor importance over time, ensuring relevance across evolving market regimes.

    DSIs(t) = Σ wi(t) · zs,i(t)
    wi(t+1) = wi(t) · e−λ ΔRi(t)
    Factor zi(t) wi(t) ΔRi(t) wi(t+1)
    Interpretation:
    Factors decay or strengthen automatically based on relevance, mimicking evolutionary market selection.

  • Perfect Penny Multibagger Calculator (PPMC)

    Perfect Penny Multibagger Calculator (PPMC)

    PPMC = 0.25×DNA + 0.20×Growth + 0.20×Management + 0.20×Asymmetry + 0.15×Environment
    FactorScore FactorScore

  • Indian Multibagger Finder Calculator

    Indian Multibagger Finder (Range-Based Model)

    You define ideal ranges. Scores are normalized to 0–10.

    Step 1: Define Preferred Ranges

    MetricWorstBest
    Market Cap
    ROE
    P/E
    EPS
    P/B
    Dividend Yield
    Industry P/E
    Book Value
    Debt/Equity
    Face Value

    Step 2: Enter Stock Data

    StockM.CapROEP/EEPS P/BDivInd PEBVD/EFVScore

    Final Ranking

    RankStockScoreVerdict
    ≥ 8 → Multibagger | 6.5–7.9 → Watchlist | < 6.5 → Avoid