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| # ---------------- CONFIG ---------------- | |
| # This file contains all static configuration data for the application. | |
| CRISIS_PERIODS = { | |
| "2008 Global Financial Crisis (India)": ("2008-01-01", "2009-03-31"), | |
| "COVID-19 Crash (India)": ("2020-02-01", "2020-11-30"), | |
| "Demonetization Shock (2016)": ("2016-11-01", "2017-02-28"), | |
| "IL&FS Debt Crisis (2018)": ("2018-08-01", "2018-12-31"), | |
| "Ketan Parekh / Dot-com Burst (India)": ("2000-03-01", "2001-09-30"), | |
| } | |
| BENCHMARK_TICKER = "^NSEI" | |
| BENCHMARK_NAME = "NIFTY 50" | |
| RECOVERY_DAYS = 90 | |
| CRISIS_SUMMARY = { | |
| "2008 Global Financial Crisis (India)": "Global credit and liquidity crisis; banks and financials hit hard; heavy foreign outflows.", | |
| "COVID-19 Crash (India)": "Rapid market fall in Mar 2020 due to pandemic lockdowns; tech & pharma were more resilient.", | |
| "Demonetization Shock (2016)": "Policy shock in Nov 2016 causing short-term consumption & liquidity effects.", | |
| "IL&FS Debt Crisis (2018)": "Infrastructure debt/default scare leading to liquidity risk concerns for NBFCs and financials.", | |
| "Ketan Parekh / Dot-com Burst (India)": "Late 1990s / early 2000s Indian IT/tech boom and subsequent bust after financial irregularities.", | |
| } | |
| CRISIS_INSIGHTS = { | |
| "COVID-19 Crash (India)": { | |
| "Information Technology": "IT companies showed resilience as global digital adoption rose; services exports continued.", | |
| "Banks": "Banks faced short-term credit stress and moratoriums; credit growth slowed.", | |
| "Energy": "Lower demand due to lockdowns hit energy & fuel consumption.", | |
| "Pharmaceuticals": "Pharma and healthcare often outperformed due to demand for medical supplies.", | |
| }, | |
| "2008 Global Financial Crisis (India)": { | |
| "Finance": "Banks and NBFCs suffered due to global liquidity freeze and foreign capital outflows.", | |
| "Metals & Mining": "Commodity demand slump affected exporters and metal companies.", | |
| }, | |
| "Demonetization Shock (2016)": { | |
| "Consumer Discretionary": "Spending fell short-term; small businesses faced cash shortages.", | |
| "Banking": "Short-term spike in deposits but transactional disruption.", | |
| }, | |
| "IL&FS Debt Crisis (2018)": { | |
| "Financial Services": "NBFCs and related sectors were directly impacted due to counterparty risk.", | |
| }, | |
| "Ketan Parekh / Dot-com Burst (India)": { | |
| "Information Technology": "Large re-rating and correction after speculative run-up in tech/IT names.", | |
| }, | |
| } | |
| EXAMPLE_PORTFOLIOS = { | |
| "Large-Cap (Default)": { | |
| "tickers": "RELIANCE.NS, TCS.NS, HDFCBANK.NS", | |
| "weights": "0.4, 0.3, 0.3", | |
| }, | |
| "IT / Tech Focus": { | |
| "tickers": "TCS.NS, INFY.NS, WIPRO.NS, HCLTECH.NS", | |
| "weights": "0.3, 0.3, 0.2, 0.2", | |
| }, | |
| "Banking Focus": { | |
| "tickers": "HDFCBANK.NS, ICICIBANK.NS, SBIN.NS, KOTAKBANK.NS", | |
| "weights": "0.3, 0.3, 0.2, 0.2", | |
| }, | |
| "Diversified (Mock)": { | |
| "tickers": "RELIANCE.NS, HDFCBANK.NS, INFY.NS, HINDUNILVR.NS, ITC.NS", | |
| "weights": "0.2, 0.2, 0.2, 0.2, 0.2", | |
| }, | |
| "Pharma Focus": { | |
| "tickers": "SUNPHARMA.NS, DRREDDY.NS, CIPLA.NS, DIVISLAB.NS", | |
| "weights": "0.25, 0.25, 0.25, 0.25", | |
| }, | |
| "Select Example...": {"tickers": "", "weights": ""}, # Placeholder | |
| } | |
| # ------------------------- | |
| # Gemini / LLM Config | |
| # ------------------------- | |
| GEMINI_MODEL_NAME = "gemini-2.0-flash-lite-001" | |
| GEMINI_SYSTEM_PROMPT = """ | |
| You are a senior Indian equity and portfolio analyst. | |
| You explain historical crisis behaviour of portfolios in short, clear bullet-point insights. | |
| Guidelines: | |
| - Focus on Indian equity context and the specific crisis mentioned. | |
| - Use simple language but keep it financially accurate. | |
| - Use only the metrics scorecard provided (no assumptions about individual sectors or stocks). | |
| - Be concise: 5–7 bullet points, maximum ~200 words. | |
| - Avoid giving investment advice; stay descriptive and educational. | |
| """ | |
| GEMINI_USER_PROMPT_TEMPLATE = """ | |
| You are analysing how an investor's portfolio behaved during the historical crisis: {crisis_name}. | |
| Here is a scorecard comparing their portfolio vs NIFTY during that crisis window: | |
| {metrics_text} | |
| TASK: | |
| - Write 5–7 short bullet points. | |
| - Explain: | |
| - How the portfolio did vs NIFTY overall. | |
| - What the volatility and max drawdown imply. | |
| - Whether the portfolio looked relatively resilient or vulnerable in that period. | |
| - Keep it under 200 words. | |
| - Do NOT mention that you are an AI model or talk about prompts. | |
| Extra style/emphasis from the user (if any): | |
| {extra_instructions} | |
| """ | |