Market Intelligence Resources

How Pharma, Food, Supplements, and Cosmetics Are Being Transformed by AI.

Quantifying how a 10% stop-loss rule affects Bitcoin's risk-return profile: 55% lower drawdowns and improved Sharpe ratio in backtests (2020-2024).

Dimensionality reduction for commodity pricing and dispersion strategies.

Advanced pricing techniques for weather derivatives & convertible bonds using Python.

Testing a 50/200 SMA crossover strategy on SPX: Historical backtest vs. forward performance analysis with Python implementation.

Backtesting an RSI-based mean-reversion strategy for Bitcoin (2017-2024): 58.6% win rate, 1.15 Sharpe ratio, and 60% lower drawdowns vs buy-and-hold.

Explore how the volatility risk premium varies between overnight and intraday sessions.

Backtested 60-day momentum strategy rotating between SPY and BTC (2017-2024): 1.06 Sharpe ratio with 56% lower drawdowns than Bitcoin alone.