#quantitative-finance

How Critical Is Real-Time Speed in Quantitative Trading?

Quantitative trading software: think a great strategy is all you need? Don’t be naive. Real-world trade execution speed is the real…

Structural Equity Valuation and Sector Realignment: An Analysis by Edmund R. Kauferton

The macroeconomic landscape is demonstrating a defined recalibration across core equity benchmarks, primarily driven by persistent upward…

I Made an AI That Invents a New Trading Strategy Every Morning

7:40 a.m. The coffee is still dripping, and my terminal already holds a new file: strategy_research_20260807.ipynb. Four minutes earlier, a…

Core Concepts Every Quant Finance Student Should Learn

Quantitative Finance is one of the fastest-growing fields in the financial industry. As financial markets become increasingly data-driven…

Black-Scholes Is Wrong and Everyone Knows It — So Why Do We Still Use It?

A Critical Examination of the Most Famous Formula in Finance: Its Failures, Its Persistence, and What It Tells Us About How Markets Really…

How AI and Machine Learning Are Transforming Trading: The New Era of Quantitative Finance

Quantitative trading has long married mathematics and market data to find exploitable patterns. Firms such as Renaissance, Two Sigma…

Jane Street vs. SEBI: The ₹4,843 Crore Fight

How SEBI read manipulation off trade structure, and the appeal that is still unresolved

The shift(-1) Bug: How a One‑Character Mistake Turned a Random Model into a 77,000% Backtest

A reproducible case study on why naive machine learning almost always fails on financial data, and what a proper walk-forward validation…

Can AI Do Financial Research?

Large language models are already capable of summarizing financial research, but are they ready to conduct it? In their latest paper…

I Ran a Multiple-Testing Audit on My Own Live Strategy. It Failed.

Deflated Sharpe and probability of backtest overfitting, applied to a sleeve I was already trading with real money. The math, the charts…

The Financial Illusion: The Deeper You Go, the Less You See

What if the biggest mistake in finance isn’t seeing too little, but seeing too much?

Why Only a Giant Can Mark the Close: Bending a a VWAP settlement

How you would bend a VWAP settlement to your own options book, and why the maths says only a giant can do it

Model 94 — (AFMF V1): A-CFVI-TU: Measuring Volatility Under Fundamental Epistemic Uncertainty

Financial decision-making has traditionally relied on the assumption that markets, while uncertain, remain sufficiently understandable to…

Zero-Copy Sliding Windows: How to Reduce Memory Cost in Quantitative Deep Learning

In quantitative machine learning the bottleneck is almost never the model. It is the data pipeline feeding it. If your pipeline is slow and…

Algorithmic Triangular Arbitrage: Small Pricing Gaps, Fast Execution, and Institutional Edge

How XAU/USD, USD/TRY and XAU/TRY can create short-lived arbitrage opportunities — and why execution quality matters more than theory

Storage, Arbitrage, and the Structure of Energy Markets

Market Integration and Regime-Dependent Mean-Reversion in the US Energy Complex

Two Factors, One Curve: Replicating the Hull-White G2++ Model

*Pricing and calibrating interest rate derivatives the way a 2012 KTH thesis did it — and what happens when you rebuild it from scratch in…

The “Flywheel” Trading System That Went Viral on X — Can We Reproduce It Quantitatively as a…

Recently I came across an interesting article on X.

Benefits of a Certificate in Quantitative Finance for Working Professionals

The financial industry is evolving faster than ever, driven by data, technology, and advanced analytics. Organizations are looking for…

Why Quants Keep Winning: The Public Math Behind Wall Street’s Biggest Edge

The equations are old. The papers are public. The edge is knowing what to trust when money is on the line.

Inside the Machine: How Monte Carlo Simulation Actually Works

In the last post, I talked about why Monte Carlo simulation matters in finance — pricing options, measuring risk, stress testing…

LightGBM vs. a Simple Factor Composite for Cross-Sectional Equity Alpha

Part 2 — When the fancy model loses : validating signal with purged walk-forward CV

Why is the Variance of a Uniform Distribution Divided by 12?

If you have ever prepared for a Quantitative Finance interview — whether for a Market Maker like Jane Street, a high-frequency trading firm…

Building Real-Time Order Book Snapshots at Any Frequency with DolphinDB

If you’ve ever tried to reconstruct a live order book from raw tick data, you know the pain. Latency spikes. Out-of-order messages. Memory…

I Spent Years Catching My Models Peeking at the Future

My AI Agents Do It Too.

2024–2025 CMU MSCF 就讀心得

前言

Why System Validation Matters More Than Ever

Today, AI and machine learning techniques are evolving at a rapid pace, making the development of trading systems increasingly accessible…

Fix Out-of-Order US Stock Ticks & Unstable WebSocket Connections With Dynamic Subscription

Intro

Elliot Pradhana: Algorithms vs. Intuition — The Indispensable Value of a 32-Year Macro Scar Tissue

The prevailing consensus in modern asset management dictates that human judgment is a liability. Billions are poured into building complex…

Structural Breaks and Pricing Curve Anomalies: A Quantitative Finance Perspective on the 2026…

Author: Ankit Narnaware

I Subtracted the Market From Every S&P 500 Stock. Here’s What Was Left

A Python scanner that flags beta-adjusted abnormal moves using SPY, volume spikes, and news catalysts

When Markets Never Sleep — Extended Hours, Odd Lots, and the Infrastructure Implications of…

A few months ago, I wrote a blog post about Nasdaq’s plans to extend trading hours and what that might mean for market data infrastructure…

How I Built an Institutional-Grade Quant Trading System as a College Student

From basic moving averages to meta-labelling and order flow imbalance — what it actually takes to build a decoupled NSE trading…

Why Multi-Strategy TAA Beats Single-Indicator Approaches for Leveraged ETFs

Leveraged ETFs are the most powerful compounding vehicles available to retail investors. A 3x Nasdaq fund in a sustained bull market can…

Momentum: The Anomaly That Wouldn’t Die

June 20, 2026 — The New York Knicks’ successful 2026 NBA championship campaign was notable for a couple of reasons.

How Citadel, Millennium, and AQR Apply Fractional Kelly — and Why Half-Kelly Is 5× Too Large Below…

The institutional case for conservative fractional Kelly (k ∈ [0.25, 0.5]) rests on one valid result and one unexamined assumption. The…

I Stopped Trusting My Portfolio’s “Diversification” After I Saw This Number

Full disclosure before you read this: I wrote a book on this topic, and this post leads there. I still think the underlying point is worth…

The Year I Tried to Beat the Market and Found the Edge Hiding in My Own Backyard

What building my own quant research desk taught me about alpha, honesty, and the one lever I could actually control.

A Full-Breakdown of Building a Systematic Vol-Buying Strategy

Research into buying straddles when implied volatility is historically cheap. Here are the backtests, the walk-forward results, and what I…

Climate, Not Weather: Why Digital-Asset Research Needs a Liquidity Framework

Climate, Not Weather: Why Digital-Asset Research Needs a Liquidity Framework

Integrating News Sentiment to Avoid Strategy Disruption in MQL5

We present a dynamic news‑sentiment filter for MQL5 Expert Advisors. It uses WebRequest to query a REST API, parses JSON sentiment and…

How Renaissance Medallion and Man AHL Extract Alpha from Kelly Criterion Sizing. LTCM Lost $4.6B

The Tokio Runtime For Rust: Part II, Redis.

Greetings, Ladies and Gentlemen! In one of our previous publications entitled “The Tokio Runtime For Rust: Part I, WebSocket.”, we provided…

Trading ES & NQ Futures with FlashAlpha: The Complete GEX, Flow & Levels Handbook

Options-on-futures priced with Black-76, dealer dollar-gamma scaled by the real contract multiplier - not SPY gamma wearing a futures…

GEX on ES & NQ Futures: Live Gamma Exposure for E-mini S&P and Nasdaq

Options-on-futures priced with Black-76, dealer dollar-gamma scaled by the real contract multiplier, not SPY gamma wearing a futures label.

Dealer Gamma Sets the Size of the Day — Not Its Direction

Most trading write-ups sell you a winner. This one is mostly about things that didn’t work — and why I think that’s the more useful story.

What Analyst Consensus Really Looks Like Beyond the Average

Two companies can have the same average estimate but completely different levels of agreement behind it

How Barra, Axioma, and Commercial Risk Models Missed January 2022’s 9.1% Growth Equity Crash

Sector Rotation Before the Fed: What a Split Regime Signal Reveals

Sector rotation rarely announces itself. This week it arrived under a calm surface: the S&P 500 rose just +0.34%, VIX fell to 17.68, and…

Expected Shortfall: CalPERS $1B, AQR, and Universa Explained