tubakhxn/Crypto-Quant — reverse-engineered prompt

Build me a Python crypto quant research toolkit with separate demo apps for market making, funding rate arbitrage, order flow imbalance prediction, volatility surface modeling, and market regime detection.

I want it to feel like an educational dashboard suite, not a real trading bot. Each project should have a simple way to run it, generate or fetch reasonable sample data, show interactive charts, and explain what the user is looking at. Include things like simulated order books, bid ask spreads, inventory and PnL views, funding rate comparisons, arbitrage opportunity ranking, order flow heatmaps, short term prediction confidence, implied volatility smiles and 3D surfaces, Greeks, and bull or bear or panic regime labels.

Use Python with common data science tools and Streamlit style dashboards. Keep everything research focused and add a clear disclaimer that it’s not financial advice or production trading infrastructure. If you need exact formulas or library usage, look up current docs online.