Premchan369/alphaforge-k2think

AlphaForge x K2 Think V2 — Institutional Quant Platform

A 10-module institutional-grade quantitative trading system built for the Build with K2 Think V2 Challenge by MBZUAI.

Live Space: https://huggingface.co/spaces/Premchan369/alphaforge-k2think

10 Modules

Module	Feature	Institution Equivalent
📈 Technical	18+ indicators, candlestick, Bollinger, Ichimoku, VWAP, ADX, MFI, OBV	Bloomberg Terminal
⚡ Backtest	5 strategies, ATR sizing, equity curves, drawdown, trade logs	Jane Street backtest engine
💼 Portfolio	Markowitz MPT, 10K-portfolio MC, efficient frontier, Sharpe max	AQR, D.E. Shaw
📐 Options	Black-Scholes + full Greeks (ΔΓΘVΡ), scenario P/L, 6-panel charts	Goldman Sachs derivatives desk
🔗 Pairs	Cointegration, OLS hedge ratio, OU half-life, Z-score signals	Two Sigma stat arb
🪙 Crypto Arb	Cross-exchange spread heatmap, funding rate concepts	Jump Trading
🛡️ Risk Engine	VaR 95/99, stress testing, correlation breakdown	Bridgewater risk
📰 Sentiment	Composite gauge (-100 to +100), keyword extraction	Citadel NLP
🌍 Macro	Cross-asset regime dashboard (S&P, 10Y, Gold, Oil, DXY, BTC)	Bridgewater All Weather
🤖 K2 AI	Chain-of-thought: entry/stop/target, catalyst calendar, contrarian	MBZUAI K2 Think V2

Setup

1. Add K2_API_KEY in Space Settings → Repository Secrets
2. No key required — all quant modules work standalone

Stack

• yfinance / synthetic fallback (market data)
• Plotly (Bloomberg Terminal aesthetic)
• NumPy/Pandas (vectorized quant math)
• K2 Think V2 (MBZUAI reasoning)

Data Notice

When Yahoo Finance rate-limits shared IPs (common on HF Spaces), the app automatically falls back to deterministic synthetic data seeded by ticker + date. Same ticker = same realistic data on the same day. All indicators, backtests, and optimizations work normally.

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Built by Premchan | Build with K2 Think V2