
May 02, 2026 - Tribhuven Bisen
Nonlinear Signal Transforms and the Skewness Trade-off
A practical accounting of what we give up when we cap, threshold, or smooth momentum signals: skewness is the tax we pay for trend insurance.

May 02, 2026 - Tribhuven Bisen
A practical accounting of what we give up when we cap, threshold, or smooth momentum signals: skewness is the tax we pay for trend insurance.

Apr 22, 2026 - Tribhuven Bisen
From Signal to Simulation to Deployment

Apr 22, 2026 - Tribhuven Bisen
Vector-based backtesting is fast but simplified, while event-based backtesting is slower but more realistic, with the choice depending on strategy complexity and time horizon.

Apr 22, 2026 - Tribhuven Bisen
From Signal to Simulation to Deployment

Apr 22, 2026 - Tribhuven Bisen
A Comprehensive Framework for Alpha Aggregation

Apr 22, 2026 - Tribhuven Bisen
The blog explains how to compute and use Gamma and higher-order Greeks to manage hedging, volatility sensitivity, and risk dynamically in options trading.

Apr 22, 2026 - Tribhuven Bisen
Volatility skew and the smile reflect the market pricing in asymmetric, fat-tailed risks—capturing crash fears and rare upside events rather than a simple lognormal distribution.

Apr 22, 2026 - Tribhuven Bisen
B-Booking, Last-Look Delays, and the Trust Problem in Crypto Venues

Apr 21, 2026 - Tribhuven Bisen
Dispersion trading only generates real P&L when you move beyond the clean academic framework and account for the execution costs, funding drag, gamma mismatches, and flow asymmetries that define the dirty, real-world version of the trade.

Apr 21, 2026 - Tribhuven Bisen
In high-frequency trading, the biggest performance gains come from optimizing how software interacts with hardware (CPU, memory, networking) rather than improving trading models.

Apr 20, 2026 - Tribhuven Bisen
Most desks talk about “PnL attribution”, But very few stop to ask: what kind of attribution are we really doing?

Apr 20, 2026 - Tribhuven Bisen and Shubham Pandey
We analyze causal relationships among major cryptocurrencies using the Toda–Yamamoto method and show that once multiple-testing corrections (FDR) are applied, apparent strong and persistent market leadership—especially by Bitcoin—largely disappears, revealing only weak and intermittent connections.

Apr 20, 2026 - Tribhuven Bisen
A random walk drifts without a restoring force, while a mean-reverting process pulls back toward a central level, making stationarity crucial for applying standard statistical models.

Apr 17, 2026 - Tribhuven Bisen
This article explains that hyperparameters in trading systems are actually risk decisions that define how a strategy reacts to market changes and failures.