retro / config /assets.json
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Phase 1: project setup, MiniMax-M3 synthetic dataset generation, 1446-row clean dataset
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{
"assets": [
{
"id": "cash",
"name": "Cash (INR)",
"ticker": "INR",
"class": "cash",
"risk": "none",
"description": "Liquid Indian rupees. Safe but eroded by inflation."
},
{
"id": "fd",
"name": "Bank Fixed Deposit",
"ticker": "FD",
"class": "cash-like",
"risk": "very_low",
"description": "Indian bank FD yielding 6-7% annually."
},
{
"id": "gov_bonds",
"name": "Government Bonds",
"ticker": "GSEC",
"class": "bonds",
"risk": "low",
"description": "Indian G-Secs. Sensitive to RBI repo rate changes."
},
{
"id": "nifty_50",
"name": "Nifty 50",
"ticker": "NIFTY",
"class": "equity",
"risk": "medium",
"description": "Large-cap Indian equity index."
},
{
"id": "nifty_it",
"name": "Nifty IT",
"ticker": "ITIDX",
"class": "tech_equity",
"risk": "high",
"description": "Indian technology sector index. High growth, high volatility."
},
{
"id": "real_estate",
"name": "Real Estate (REITs)",
"ticker": "REIT",
"class": "alternative",
"risk": "medium_high",
"description": "Indian real estate investment trusts and property index."
},
{
"id": "crypto",
"name": "Crypto (BTC/ETH)",
"ticker": "CRYPTO",
"class": "crypto",
"risk": "very_high",
"description": "Unregulated digital assets. Extreme volatility."
},
{
"id": "gold",
"name": "Gold",
"ticker": "GOLD",
"class": "commodity",
"risk": "medium",
"description": "Physical and paper gold. Indian safe haven and inflation hedge."
}
]
}