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5b3602b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 | # ---------------- 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}
"""
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